The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index; 2 of the 55 sources its claims cite were checked for support.
Technology Acceptance Model 3 and a Research Agenda on Interventions
Open accessAbstract
ABSTRACT Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre‐ and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations.
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Claims the paper makes
51 Own result · 35 Own interpretation · 21 No full text of the sources · 13 Sources not found · 7 Own method · 5 Not checked yet · 2 No basis given · 1 Supported · 1 Partly supported · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“Venkatesh and Speier (1999) investigated the effect of mood during training on user acceptance and found that mood during training played an important role in forming individuals' perceptions of a new IT.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Training
What the sources say
- Supportedcites Venkatesh & Speier, 1999 source
The Short-Term Mood Effects section links mood during computer training to perceptions of enjoyment in using the technology. The Discussion reports that negative mood during training reduced intrinsic motivation and intentions to use it, supporting the citing sentence’s broad characterization of the finding. The copy provides no page numbers for these passages. (LLM, conf=0.91)
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The two-way interaction between subjective norm and voluntariness (SN × EXP) indicated that the effect of subjective norm on behavioral intention was stronger in a mandatory context.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Behavioral Intention and Use
hedgedstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we found that experience moderated the effect of computer anxiety on perceived ease of use such that the effect became weaker with increasing experience (CANX × EXP).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“experience moderated the effect of perceived ease of use on perceived usefulness such that with increasing experience the effect became stronger.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, TAM3 was able to explain between 52% and 67% of the variance in perceived usefulness across different time periods and models (see Table 5).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plainstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we found that job relevance and output quality had an interactive effect on perceived usefulness such that with increasing output quality, the effect of job relevance on perceived usefulness was stronger.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plainstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found that experience, in fact, moderated the effect of perceived ease of use (PEOU × EXP) on behavioral intention such that with increasing experience the effect became weaker.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Behavioral Intention and Use
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The square root of the average variance extracted (AVE) for each construct was higher than the correlations across constructs.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement Models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As Table 4 shows, internal consistency reliabilities (ICRs) were greater than .70 for all constructs at all points of measurement.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement Models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Table 3 shows that the item loadings were greater than or at least equal to .70 for all constructs at all time periods.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement Models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 25
- The quote only partly states this claim. 4
- Probably not a substantial claim. 26
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Further, incentive alignment, and an important extrinsic reward, may reduce anxiety and increase perceived enjoyment as extrinsic rewards are considered important drivers of intrinsic motivations (Vallerand, 1997;Deci, Koestner, & Ryan, 1999;Ryan & Deci, 2000).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Incentive alignment
What the sources say
- Not checked — no full text of the sourcecites Vallerand, 1997 source
- Partly supportedcites Deci, Koestner, & Ryan, 1999 sourceExperimental — accuracy not yet measured
The Results report that verbal rewards (positive feedback) enhanced self-reported interest, which offers limited support for the possibility that an extrinsic reward could increase enjoyment. But the paper does not assess incentive alignment or anxiety, and its Concluding Comments (pp. 658–659) say tangible rewards generally diminish rather than promote intrinsic motivation. The cited source therefore does not support the proposed effect of incentive alignment. (LLM, conf=0.83)
- Not checked — no full text of the sourcecites Ryan & Deci, 2000 source
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we found that perceived ease of use, subjective norm, image, and result demonstrability were significant predictors of perceived usefulness at all time periods (see Table 5).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plainstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While perceived ease of use was significant at T1 and T2, it was not significant at T3, suggesting a moderating effect of experience in the relationship between perceived ease of use and behavioral intention.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Behavioral Intention and Use
hedgedstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the adjustments-that is, perceived enjoyment and objective usability-were not significant at T1, but they were significant at both T2 and T3.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Perceived Usefulness
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Participants who completed all measurement points are representative of the initial user populations at the four sites.
- Rests on an assumption: The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“OU × EXP | | | | .20 * *”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Objective Usability (OU) | .04 | .19 * * | .23 * * * | .03”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“CANX × EXP | | | | .21 * * *”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Subjective Norm (SN) | .40 * * * | .32 * * * | .13 * | .04”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“SN × VOL | .29 * * * | .22 * * * | .17 * | .03”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Perceived Enjoyment (ENJ) | .02 | .22 * * * | .24 * * * | .04”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Result Demonstrability (RES) | .22 * * * | .26 * * * | .28 * * * | .26 * * *”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: fails — The authors may not put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“CPLAY × EXP | | | | -.22 * * *”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Perceived Ease of Use (PEOU) | .22 * * * | .26 * * * | .33 * * * | .08”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“ENJ × EXP | | | | .18 * *”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Perceived Ease of Use (PEOU) | .24 * * * | .17 * | .05 | .04”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Although longitudinal studies were conducted, the specific moderating role by experience was not tested in Venkatesh (2000).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Determinants of Perceived Ease of Use
What the sources say
- Not matchedcites Venkatesh, 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, in the context of enterprise systems, if an individual perceives that his or her use of the system does not benefit the members of his or her work units but rather benefits members from other work units, the user will perceive a lack of incentive alignment that may lead to low user acceptance and use of the system.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Incentive alignment
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“we conducted Harmon's single factor test and marker variable test (we used job satisfaction as a marker variable) and did not find any significant common method bias.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement Models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“We used validated items from prior research to test TAM3.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Our research design allowed us to collect the use data separate from its determinants (e.g., behavioral intention, perceived usefulness, etc.).Particularly, there was at least a 1-month gap between the collection of survey data and the measurement of use.”
- Also stated in: § Measurement · plain
“Such a design approach helped us overcome the problems associated with common method biases.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Measurement · plain
In the paper
“Operationalization of the determinants of perceived ease of use (i.e., computer self-efficacy, perceptions of external control, computer playfulness, computer anxiety, objective usability, and perceived enjoyment) was consistent with Venkatesh (2000).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement
What the sources say
- Not matchedcites Venkatesh (2000)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“It posits that individuals' behavioral intention to use an IT is determined by two beliefs: perceived usefulness, defined as the extent to which a person believes that using an IT will enhance his or her job performance and perceived ease of use, defined as the degree to which a person believes that using an IT will be free of effort.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > BACKGROUND
What the sources say
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“Ba et al. (2001) argued that while aspects of software engineering (e.g., system characteristics) and technology acceptance (e.g., perceived usefulness, perceived ease of use, user satisfaction) are important considerations for system development processes, organizations may fail to gain expected benefits from employees' effective utilization of a system unless employees find that the system fe”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Incentive alignment
What the sources say
- Not matchedcites Ba et al., 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plainstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Not matched
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All constructs at each time period exhibited strong psychometric properties and satisfied the criteria of reliability and convergent and discriminant validity.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement Models
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“According to Ba et al. (2001), incentive alignment does not necessarily mean organizational rewards for using a system.It is a broad concept that entails an individual's perception that the IT fits with his or her job requirements and value system.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Incentive alignment
What the sources say
- Not matchedcites Ba et al., 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
- Not matched
In the paper
“Chin, Marcolin, and Newsted (2003) noted that PLS has minimal restrictions in terms of distributional assumptions and sample size.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > We used Partial Least Squares (PLS), a component-based structural equation modeling technique, to analyze our data. PLS-Graph, version 3, build 1126 was used
What the sources say
- Not checked — no full text of the sourcecites Chin, Marcolin, and Newsted (2003) source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Mean-centering helps limit potential multicollinearity, evidenced by the low variation inflation factors (VIFs) for all constructs in our model.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > We used Partial Least Squares (PLS), a component-based structural equation modeling technique, to analyze our data. PLS-Graph, version 3, build 1126 was used
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Perceived usefulness is an instrumental belief that is conceptually similar to extrinsic motivation and is a cognition (as opposed to emotion) regarding the benefits of using a system.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Crossover Effects
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“It further theorizes that the effect of external variables (e.g., design characteristics) on behavioral intention will be mediated by perceived usefulness and perceived ease of use.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > BACKGROUND
What the sources say
- Not checked — no full text of the sourcecites Davis et al., 1989 source
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The research sites represented different industries, organizational contexts, and functional areas.Further, the types of ITs were different across the sites.Such variability in organizational settings and types of technologies adds to the potential generalization of our findings.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > METHOD
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“TAM constructs-that is, perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI)-were operationalized using items adapted from Davis (1989) and Davis et al. (1989).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Incentive alignment has been suggested as the third dimension in systems design (Ba, Stallaert, & Whinston, 2001).The other two dimensions are software engineering and technology acceptance (Ba et al., 2001).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Incentive alignment
What the sources say
- Not matchedcites Ba et al., 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Second, the modification and enhancement activities performed by peers will increase job relevance of a system, improve the output quality of a system, and reduce anxiety related to system use.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Peer support
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The implementation of interventions is, of course, not a silver bullet for greater IT adoption and effective utilization.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Implications for Decision Making
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“He also found that the effect of perceived ease of use on behavioral intention to use a system was stronger for individuals who received game-based training.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Training
What the sources say
- Not matchedcites Venkatesh, 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plainstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If we can develop a rich understanding of the determinants of IT adoption and use and interventions that can favorably influence these determinants, managers can proactively decide on implementing the right interventions to minimize resistance to new ITs and maximize effective utilization of ITs.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
plainstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: ITs are becoming increasingly complex and implementation costs are very high.
- Rests on an assumption: Implementation failures of many of today's ITs cost millions of dollars for organizations.
In the paper
“Training has been suggested as one of the most important postimplementation interventions that leads to greater user acceptance and system success (see Sharma & Yetton, 2007).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Training
What the sources say
- Not checked — no full text of the sourcecites Sharma & Yetton, 2007 source
hedgedstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Organizational support captures the role of both internal and external experts who can help users deal with the complexity associated with new systems as well as business processes.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Organizational support
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Implementation of interventions can increase system development costs substantially.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Implications for Decision Making
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“TAM3 emphasizes the unique role and processes related to perceived usefulness and perceived ease of use and theorizes that the determinants of perceived usefulness will not influence perceived ease of use and vice versa.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Theoretical Contributions
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Prior research has suggested that employees' perceptions regarding organizational support-that is, facilitating conditions or perceptions of external control (Taylor & Todd, 1995;Venkatesh, 2000;Venkatesh et al., 2003)-will lead to greater user acceptance of new systems.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Organizational support
What the sources say
hedgedstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our key argument in this article is that unless organizations can develop effective interventions to enhance IT adoption and use, there is no practical utility of our rich understanding of IT adoption.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Theoretical Contributions
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
- Rests on an assumption: There is little or no scientific research aimed at identifying and linking interventions with specific determinants of IT adoption.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We suggest that interventions discussed in this article can help organizations generate favorable individuals' reactions toward business process changes and process standards implementation.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Implications for Decision Making
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
In the paper
“For example, while self-efficacy may have weak influence on perceived usefulness as shown in Agarwal and Karahanna (2000), we argue that this influence will become nonsignificant in the presence of other important social and cognitive constructs.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Theoretical Contributions
What the sources say
- Not checked — no full text of the sourcecites Agarwal and Karahanna (2000) source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“TAM3 posits that perceptions of external control are important and stable determinants of perceived ease of use.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Organizational support
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Organizational support is a key source of perceptions of external control.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Organizational support
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, experts can help employees modify certain aspects of a new system, thus increasing job relevance, output quality, and results demonstrability of a system.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Organizational support
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Due to the complexity of ITs, it is increasingly difficult for employees to make effective decisions about adoption, utilization, and coping with new ITs.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Implications for Decision Making
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: ITs are becoming increasingly complex and implementation costs are very high.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Some employees may react favorably to these changes, while the others may perceive these changes as a threat to their well-being (Orlikowski, 2000;Boudreau & Robey, 2005).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Postimplementation Interventions
What the sources say
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“TAM3 posits that with increasing experience, while the effect of perceived ease of use on behavioral intention will diminish, the effect of perceived ease of use on perceived usefulness will increase.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Theoretical Contributions
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We suggest that the role of training will be even more important in the context of complex systems (e.g., enterprise systems) that are more central to employees' work life.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Training
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: Much prior research on training in the context of IT adoption has been conducted for simple ITs, such as word processing and e-mail.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As these systems are more likely to invoke negative reactions from employees because of their disruptive nature, effective training interventions can mitigate these negative reactions and help employees form favorable perceptions toward these systems.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Training
hedgedstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
The paper relies on this without support.
Participants who completed all measurement points are representative of the initial user populations at the four sites.
“Out of 50 potential users of the system who participated in the training, 39 provided usable responses at all points of measurement.”
“Out of 51 potential users of the new system who attended the training, 43 provided usable responses at all points of measurement.”
“Out of 51 potential users of the new system, 36 provided usable responses at all points of measurement.”
The paper relies on this without support.
The four sites' data can be pooled for the PLS analysis despite differences in industry, organizational context, and technology.
“Data were collected from four different organizations-sites A through D-implementing new ITs.”
“The research sites represented different industries, organizational contexts, and functional areas.”
The paper relies on this without support.
Management support in individual-level IT adoption literature has been conceptualized and operationalized as organizational mandate and compliance.
“While management support has been conceptualized and operationalized as organizational mandate and compliance, particularly in the individual-level IT adoption literature, we suggest that there is a need to develop a richer conceptualization of management support to enhance our understanding of its role in IT adoption contexts.”
The paper relies on this without support.
There is limited research on the role of incentive alignment in IT adoption contexts.
“There is limited research on the role of incentive alignment in IT adoption contexts.”
The paper relies on this without support.
Much prior research on training in the context of IT adoption has been conducted for simple ITs, such as word processing and e-mail.
“However, much of the prior research on training in the context of IT adoption has been conducted for simple ITs, such as word processing and e-mail.”
The paper relies on this without support.
There is little or no research on the role of peer support in the context of IT adoption.
“While peer support is potentially an important intervention that can lead to greater user acceptance, there is little or no research on the role of peer support in the context of IT adoption.”
The paper relies on this without support.
There is little or no scientific research aimed at identifying and linking interventions with specific determinants of IT adoption.
“However, there is little or no scientific research aimed at identifying and linking interventions with specific determinants of IT adoption.”
The paper relies on this without support.
There have been numerous cases of enterprise system failures because of user resistance.
“There have been numerous cases of enterprise system failures because of user resistance.”
The paper relies on this without support.
In many cases, users stopped using an enterprise system because they saw no benefits of using the new system.
“In many cases, the users stopped using an enterprise system, as they saw no benefits of using the new system.”
The paper relies on this without support.
Other types of reactions, such as avoidance, sabotage, workarounds, and shortcuts, are prevalent.
“Other types of reactions, such as avoidance, sabotage, workarounds, and shortcuts are also prevalent.”
The paper relies on this without support.
ITs are becoming increasingly complex and implementation costs are very high.
“ITs are becoming increasingly complex and implementation costs are very high.”
The paper relies on this without support.
Implementation failures of many of today's ITs cost millions of dollars for organizations.
“Implementation failures of many of today's ITs cost millions of dollars for organizations.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“the extensive focus of TAM on technology to the neglect of social and psychological parameters (Agarwal & Prasad, 1998;Venkatesh & Bala, 2008) limits its explanatory and predictive utilities, and therefore demands its integration with other frameworks”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Venkatesh & Bala, 2008
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A technology that provides information quickly and easily will lead to improvements in job performance, which in turn will encourage greater use of a given technology (Venkatesh and Bala, 2008).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Venkatesh and Bala, 2008
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The adoption of new technologies is shaped by user perceptions and usage patterns (Venkatesh & Bala, 2008) as well as student characteristics and experiences (Abdaljaleel et al., 2023; Tiwari et al., 2024).”
From “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI (2024) · cites this paper as Venkatesh & Bala, 2008
The cited source says what the claim attributes to it.
In the citing paper
“It is proposed that perceived enjoyment is positively related to perceived ease of use [12].”
From Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain (2015) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“The scales applied have been verified in preceding studies [12, 28].”
From Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain (2015) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“Moreover, it is proposed that perception of external control is an element that conditions perceived ease of use [12].”
From Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain (2015) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“It is proposed that result demonstrability is an antecedent of perceived usefulness [12].”
From Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain (2015) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“which explains that users’ decisions to accept and use a technology are influenced by perceived usefulness, ease of use, and social influence of others.”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [253]
The cited source says what the claim attributes to it.
In the citing paper
“Some of the themes identified in this review overlap with previous models conceptualizing engagement with digital health interventions, as well as general technology acceptance and health behavior, such as the Efficiency Model of Support [251], Technology Acceptance Model [253], and Health Belief Model [249].”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [253]
The cited source says what the claim attributes to it.
In the citing paper
“Our findings are in line with the Technology Acceptance Model”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [253]
The cited source says what the claim attributes to it.
In the citing paper
“Information-related characteristics of a system can impact its PU as they can improve productivity and performance (Venkatesh and Bala, 2008).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Venkatesh and Bala, 2008
The cited source says what the claim attributes to it.
In the citing paper
“Firstly, considering usability , a reliable, flexible and user-friendly system is more likely to create a positive user experience (Venkatesh and Bala 2008).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Venkatesh and Bala 2008
The cited source says what the claim attributes to it.
In the citing paper
“A typical criticism of the TAM is in relation to its lack of practical managerial guidance (Venkatesh and Bala, 2008).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Venkatesh and Bala, 2008
The cited source says what the claim attributes to it.
In the citing paper
“Venkatesh and Bala (2008) present four generic antecedents to the TAM: i ndividual differences , system characteristics , social influence , and facilitating conditions .”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Venkatesh and Bala (2008)
The cited source says what the claim attributes to it.
In the citing paper
“The model explains approximately 40% of the variance in individuals’ intention to use a new technology and actual use [39].”
From An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study (2023) · cites this paper as [39]
The cited source says what the claim attributes to it.
In the citing paper
“It theorizes that individuals’ intention to use new technology is determined by perceived usefulness, defined as “the extent to which a person believes that using [a new technology] will enhance his or her job performance,” and perceived ease of use, defined as “the degree to which a person believes that using [a new technology] will be free of effort” [39].”
From An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study (2023) · cites this paper as [39]
The cited source says what the claim attributes to it.
In the citing paper
“TAM's assertion that perceived usefulness is a primary determinant of technology acceptance and subsequent usage behaviors (Venkatesh & Bala, 2008).”
From The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches (2025) · cites this paper as Venkatesh & Bala, 2008
In the citing paper
“Currently, many studies contributing to the adoption research of mHealth for youths are based on the technology acceptance model, an information systems theory that models user’s acceptance of technology mainly based on perceived usefulness and perceived ease of use [48-50].”
From Understanding Mobile Health and Youth Mental Health: Scoping Review (2023) · cites this paper as [50]
In the citing paper
“Currently, many studies contributing to the adoption research of mHealth for youths are based on the technology acceptance model, an information systems theory that models user’s acceptance of technology mainly based on perceived usefulness and perceived ease of use [48-50].”
From Understanding Mobile Health and Youth Mental Health: Scoping Review (2023) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Measurement
“Specifically the measurements of use and its determinants were separated by 1 month (T1-T2), 3 months (T2-T3) and 2 months (T3-T4).”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Procedure
“after initial training (T1), 1 month after implementation (T2), and 3 months after implementation (T3).We also measured self-reported usage at T2, T3, and 5 months after implementation (T4).”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Additional information
“a All items were measured on a 7-point Likert scale (where 1: strongly disagree; 2: moderately disagree, 3: somewhat disagree, 4: neutral (neither disagree nor agree), 5: somewhat agree, 6: moderately agree, and 7: strongly agree), except computer self-efficacy, which was measured using a 10-point Guttman scale.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Additional information
“Use (USE) USE1 On average, how much time do you spend on the system each day?”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > Explaining and Predicting Behavioral Intention and Use
“The two-way interaction between subjective norm and voluntariness (SN × EXP) indicated that the effect of subjective norm on behavioral intention was stronger in a mandatory context.”
§ Technology Acceptance Model 3 and a Research Agenda on Interventions > CONCLUSIONS
“| SN × VOL | .29 * * * | .22 * * * | .17 * | .03 |”
Citations
Cites
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
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Multiple regression: testing and interpreting interactions
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Multiple Regression: Testing and Interpreting Interactions
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Self-citationIntrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666
Structural equation models with unobservable variables and measurement error: Algebra and statistics
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Sorted by citations
Items 3,501–3,600 of 8,090
Factors That Influence the Behavioural Intention to Use E-Payments in Indonesia
Rahayu, R. (2022) · EKONOMIS Journal of Economics and Business · doi:10.33087/ekonomis.v6i1.504 · Cited by 8
“The model of TAM 3 has also been proposed in the context of e-commerce with an inclusion of the effects of trust and perceivedd risk on system use (Venkatesh & Bala 2008).”
BackgroundUnderstanding Long-Term Intention for Micromobility: Insight from Shared E-Scooters in Chicago
Javadinasr, M., Asgharpour, S., Rahimi, E., et al. (2022) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484340.002 · Cited by 8
Technology Innovations and Consumption of Formula 1 as a TV Sport Product
Schneiders, C., & Rocha, C. (2022) · Sport Marketing Quarterly · doi:10.32731/smq.313.0922.02 · Cited by 8
“Most of those criticisms are related to problems related to actionable guidance to practitioners (Venkatesh & Bala, 2008).”
BackgroundThe Role of Individual Factors in Users’ Intentions to Use Medical Tourism Mobile Apps
Chang, C. (2022) · Tourism and Hospitality · doi:10.3390/tourhosp3040057 · Cited by 9
“That is, departing from the literature view of system performance as the central critical predictor of adoption [17] (Venkatesh and Bala, 2008), the results focus on the enhancement in the role of the other rather than contextual attributes of the IT/IS environment (i.e., personal involvement and…”
BackgroundMethodInfluentialContinuous intention to use e-wallets in Indonesia: The impact of e-wallets features
Johan, A. P., Lukviarman, N., & Putra, R. E. (2022) · Innovative Marketing · doi:10.21511/im.18(4).2022.07 · Cited by 12
Önvezető járművek a turizmusban – technológiaelfogadás a turisták szemszögéből
Miskolczi, M., Munkácsy, A., & Földes, D. (2022) · Turizmus Bulletin · doi:10.14267/turbull.2022v22n4.1 · Cited by 9
Kwarteng, M. A., Ntsiful, A., Osakwe, C. N., & Ofori, K. S. (2023) · Online Information Review · doi:10.1108/oir-10-2021-0533 · Cited by 11
Behavioral Acceptance of Electronic Government in Jordan
Al-Haddad, S., Sharabati, A. A., Khasawneh, M. H. A., Mazahreh, S. A., & Kawar, Y. T. (2023) · International Journal of Electronic Government Research · doi:10.4018/ijegr.321459 · Cited by 8
A consumer innovation resistance theory perspective on the advanced driver assistance systems
Chu, K. (2023) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2022.2153716 · Cited by 9
“In alignment with Venkatesh and Bala (2008), we contend that the perceived enjoyment raises the intrinsic motivation to adopt an ADAS car that drives, and therefore makes interaction with ADAS cars easier.”
BackgroundMeasuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach
Abbasnejad, B., Nasirian, A., Duan, S. X., Diro, A. A., Nepal, M. P., & Song, Y. (2024) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-14262 · Cited by 9
Peng, X., & Stirling, L. A. (2024) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2024.3377278 · Cited by 8
“…potential to increase users’ confidence in using the device in task-specific settings, given that dissatisfaction with wearable devices is a primary contributor to device abandonment [49], [50], [51] and perceived usefulness is also a critical factor in the adoption of technology [52], [53], [54].”
BackgroundCourse Evaluation in Higher Education: the Patras Pilot of ABC4Trust
Stamatiou, Y. C., Benenson, Z., Girard, A., Krontiris, I., Liagkou, V., Pyrgelis, A., & Tesfay, W. B. (2014) · Springer eBooks · doi:10.1007/978-3-319-14439-9_7 · Cited by 8
The Adoption of DEMO: A Research Agenda
Ven, K., & Verelst, J. (2009) · Lecture notes in business information processing · doi:10.1007/978-3-642-01915-9_12 · Cited by 8
“One interesting line of research would be to apply TAM3 [39] to the adoption of DEMO, as this would provide more insight into the antecedents of perceived usefulness and perceived easy of use.”
BackgroundIdentification of factors affecting university instructors' adoption of hybrid e-learning
Selim, H. M., & Chiravuri, A. (2015) · International Journal of Innovation and Learning · doi:10.1504/ijil.2015.069633 · Cited by 10
“A literature review was initially conducted in search for factors influencing HLCA and adoption (Arbaugh et al., 2009; Venkatesh and Bala, 2008).”
BackgroundChenel, V., Boissy, P., Cloarec, J., & Patenaude, J. (2015) · Journal of Nanoparticle Research · doi:10.1007/s11051-015-2998-1 · Cited by 8
“Perceived usefulness has been documented in the literature as an important factor in accounting for information technologies’ acceptance (Davis 1985; Venkatesh and Bala 2008).”
BackgroundUnderstanding consumers' purchase intention towards online group buying in China
Zhai, C., & Zhang, Y. (2014) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2014.6874098 · Cited by 7
“Perceived playfulness represents the intrinsic motivation associated with using any new system [29].”
BackgroundFernandes, G., Ward, S. C., Araújo, M., Loureiro, I. F., & Braga, A. C. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.10.049 · Cited by 7
“The embedding of PMIIs is studied as an innovation process and the researcher borrowed associated concepts of diffusion, dissemination, implementation and routinisation from other disciplines such as information and technology [15] and health care services [16] to develop an understanding of the PMIIs embedding proces…”
MethodMoney on the move workload, usability and technology acceptance of second-screen atm-interactions
Regal, G., Busch, M., Deutsch, S., Hochleitner, C., Lugmayr, M., & Tscheligi, M. (2013) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2493190.2493211 · Cited by 8
“In an experimental laboratory study, those three ATM interactions were compared by means of workload (NASA-TLX), usability (SEQ, UMUX) and technology acceptance (selected TAM3-scales and additional scales for trust and security) in a randomized, controlled within-subjects design (n=24).”
MethodInfluentialUse of Diffusion of Innovations Theory in Medical Informatics Research
Weigel, F. K., Rainer, R. K., Hazen, B. T., Cegielski, C. G., & Ford, F. N. (2012) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/jhisi.2012070104 · Cited by 8
“During the persuasion stage of evaluation, potential adopters develop either a positive or negative opinion toward the innovation (Rogers, 2003; Venkatesh & Bala, 2008; Venkatesh, Morris, Davis, & Davis, 2003).”
BackgroundCasati, B., Haugland, H. K., Barstad, G. M. J., et al. (2014) · Implementation Science · doi:10.1186/s13012-014-0111-2 · Cited by 8
“Definitions of terms are based on references [14,15].”
BackgroundPan, Y. C., Luo, L., Liu, D., et al. (2014) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622014500539 · Cited by 8
Wie Konsumenten Innovationen wahrnehmen Neuartigkeit und Sinnhaftigkeit als zentrale Determinanten
Tomczak, T., Vogt, D., & Frischeisen, J. (2015) · Springer eBooks · doi:10.1007/978-3-658-07167-7_12 · Cited by 8
Barriers Affecting Social Media Adoption in Finnish Tourism Businesses
Pesonen, J. A., Mikkonen, J., Makkonen, M., et al. (2013) · Springer eBooks · doi:10.1007/978-3-319-03973-2_52 · Cited by 8
Understanding University Students' System Acceptance Behavior
Li, C. (2016) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2016070107 · Cited by 8
“Subjective norms refer to social pressures an individual perceives with respect to system usage (Venkatesh & Bala, 2008).”
BackgroundPiontkowski, J. O., Hoffjan, A. H., Lachmann, M., et al. (2012) · Studies in managerial and financial accounting · doi:10.1108/s1479-3512(2012)0000025012 · Cited by 8
Sternad, S., & Bobek, S. (2013) · Advances in business information systems and analytics book series · doi:10.4018/978-1-4666-4373-4.ch021 · Cited by 8
Busch, M., Patil, S., Regal, G., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-31510-2_29 · Cited by 8
Modeling human perceived security: A conceptual framework and its application to health
Colobran, M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.050 · Cited by 8
Institutional strategy for effective blended e-learning: HCI perspective of sustainable embedding
Basir, H. M., Ahmad, A., & Noor, N. L. M. (2010) · International Conference on User Science and Engineering · doi:10.1109/iuser.2010.5716726 · Cited by 8
“Those models among others are: Technology Acceptance Model (TAM) [1], extended TAM models [2][3], Social Cognitive Theory to Computing Technology (SCTCT) [4] and Unified Theory of Acceptance of Use of Technology (UTAUT) [5].”
Measuring Mobile Phone Technology Adoption in SMEs
Mushi, R. M., Jafari, S., & Ennis, A. (2016) · International Journal of ICT Research in Africa and the Middle East · doi:10.4018/ijictrame.2017010102 · Cited by 8
“Measuring the extent of ICT adoption in organizations is a complex process (Venkatesh & Bala, 2008).”
BackgroundSupporting the Validation of Adequacy in Requirements-Based Hazard Mitigations
Tenbergen, B., Weyer, T., & Pohl, K. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16101-3_2 · Cited by 8
“Both groups were presented with several items from the TAM3 [27] and TTF [28] in order to gain data on the participants’ experience during review, perceived usefulness of the respective notation, and the respective notation’s ability to assist in the review process. degree.”
MethodBAYAZIT, D. Z., Durmuş, B., & Yıldırım, F. (2017) · AJIT-e Academic Journal of Information Technology · doi:10.5824/1309-1581.2017.1.002.x · Cited by 13
“One of the extended model, TAM3 has also been proposed in the context of e-commerce with an inclusion of the effects of trust and perceived risk on system use (Venkatesh & Bala, 2008).”
BackgroundUncovering the Motives for the Continuous Use of Social Virtual Worlds
Mäntymäki, M., & Merikivi, J. (2010) · Cited by 8
A Study on the Intention to Use the Wearable Device in Taiwan: A Case Study on Xiaomi Mi Band
Lai, Y.-H., & Huang, F.-F. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-67618-0_26 · Cited by 8
Utilizing Change Impact Analysis for Effort Estimation in Agile Development
Tanveer, B., Vollmer, A. M., & Engel, U. M. (2017) · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · doi:10.1109/seaa.2017.64 · Cited by 8
“Construct validity: To avoid inappropriate measurement of the evaluation quality aspects we considered and adapted existing reliable test instruments as TAM [16] and used them to focus on the concept and the mock-up individually.”
BackgroundMethodInternational diffusion of digital innovations: mapping the mobile telephony of the Arab States
AlMutairi, S., & Yen, D. A.-W. (2017) · The Bottom Line Managing Library Finances · doi:10.1108/bl-08-2017-0020 · Cited by 8
Alam, M. D. S. A., Wang, D., & Rafique, K. (2018) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2018100108 · Cited by 8
An extension of the improving and embedding project management practice framework
Fernandes, G., Araújo, M., Pinto, E. B., & Machado, R. J. (2019) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-11-2017-0143 · Cited by 8
“…of the framework an “innovation lens” perspective was adopted, using concepts of diffusion, dissemination, implementation and routinisation, from other disciplines (Greenhalgh e al., 2004; Venkatesh and Bala, 2008) to develop an understanding of the process of embedding PMIIs in organisations.”
MethodNgangi, S. C. W., & Santoso, A. J. (2019) · Indonesian Journal of Information Systems · doi:10.24002/ijis.v1i2.1993 · Cited by 8
“, stated that quality output is needed for development and direction in further quality searches [21].”
BackgroundBuabeng-Andoh, C., & Baah, C. (2019) · doi:10.1109/iccma.2019.00008 · Cited by 8
Using Mobile Applications: A Model of Technology Adoption in the Grocery Setting
Aiolfi, S., & Bellini, S. (2019) · International Journal of Business and Management · doi:10.5539/ijbm.v14n12p42 · Cited by 8
“…Acceptance Model second version) by Venkatesh & Davis (2000), the Unified Theory of Acceptance and the Use of Technology (UTAUT), an extension of the original TAM proposed by Venkatesh et al. (2003) and finally the TAM3 (Technology Acceptance Model third version) by Venkatesh and Bala (2008).”
Multimodal mental models: Understanding users’ design expectations for mHealth apps
Brennen, J. S., Lazard, A. J., & Adams, E. T. (2019) · Health Informatics Journal · doi:10.1177/1460458219882271 · Cited by 8
“22,23 That is, when an app conforms to our expectations for what an app should look like, we may believe it to be easier to use or more useful to us.”
BackgroundIpar 4.0 az autóiparban. A fehér- és kékgalléros munkavállalók technológiaelfogadási aggályai
Keszey, T., & Tóth, R. Z. (2020) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2020.06.07 · Cited by 9
Ramdhony, D., Mooneeapen, O., Dooshila, M., & Kokil, K. (2020) · Higher Education Quarterly · doi:10.1111/hequ.12288 · Cited by 8
Dutta, D., & Sarma, M. K. (2020) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877020500595 · Cited by 8
Remotely Piloted Aircraft: Analysis of the Deployment in Aeronautical Accident Investigation Bureau
Maria, H. D. S., Frogeri, R. F., Piurcosky, F. P., et al. (2021) · Journal of Aerospace Technology and Management · doi:10.1590/jatm.v13.1187 · Cited by 8
“2003), ‘anchor’ and ‘adjustment’ (Venkatesh and Bala 2008) and, finally, consumption or financial aspects (Venkatesh et al.”
BackgroundMethodStop hailing, start apping: adoption of app-cab services in an emerging economy
Chakraborty, D., Dash, G., Kiefer, K., & Bhatnagar, S. B. (2021) · foresight · doi:10.1108/fs-09-2020-0088 · Cited by 8
THE IMPACT OF WEB 2.0 (GOV 2.0) AND SOCIAL MEDIA TECHNOLOGIES ON ENGAGEMENT IN LOCAL GOVERNMENT
Gibby, A., Smith, S., Pang, V., & Toorn, C. V. (2014) · Journal of the Association for Information Systems · Cited by 8
Wang, J., Shahzad, F., Khan, I., & Siyal, A. W. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.848931 · Cited by 8
“A study by Venkatesh and Bala (2008) suggested that for structural equation modeling (SEM) minimum sample of 200 respondents is reasonable for the analysis of results.”
BackgroundExtended Technological Acceptance Model for Evaluating E-Learning: The African Context (ETAM-4EEA)
(2018) · doi:10.17758/eares4.eap1118444 · Cited by 8
“Technology Acceptance Model (TAM) has continuously been adapted and improved to be applied more widely, hence TAM3 is currently available [54], however, the uniqueness of the African cultures may pose a problem when TAM is applied in the African context .”
BackgroundUnderstanding the Continued Usage Intention of Educators toward an e-Learning System
Islam, A. K. M. N. (2011) · International Journal of E-Adoption · doi:10.4018/jea.2011040106 · Cited by 8
Why do people adopt cloud services? Gender differences
Lee, Y.-C. (2015) · Social Science Information · doi:10.1177/0539018415609174 · Cited by 8
“However, the effects of subjective norms on intentions remain inconclusive: some evidence suggests the importance of the roles of subjective norms on technology usage (Taylor & Todd, 1995; Venkatesh & Bala, 2008; Venkatesh & Davis, 2000a).”
BackgroundMethodGuidelines for Architecture Models as Boundary Objects
Abraham, R. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_19 · Cited by 9
Robot Use for Older Adults – Attitudes, Wishes and Concerns. First Results from Switzerland
Lehmann, S., Ruf, E., & Misoch, S. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-50732-9_9 · Cited by 8
Wyeld, T., Jiranantanagorn, P., Shen, H., Liao, K., & Bednarz, T. P. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102524 · Cited by 9
Building a conceptual framework for mobile transaction in Saudi Arabia: A user's perspective
Alqahtani, M. A., Alroobaea, R., & Mayhew, P. J. (2014) · Science and Information Conference · doi:10.1109/sai.2014.6918303 · Cited by 9
“This in line with the research findings [25, 26].”
ResultComputer-Mediated Friendship Networks
Jacks, T., & Salam, A. F. (2009) · Journal of the Association for Information Systems · Cited by 8
Predicting Australian builders’ intentions to use prefabrication
Steinhardt, D. A., Manley, K., & Miller, W. (2014) · QUT ePrints (Queensland University of Technology) · Cited by 8
Borwing, A. H., Bransford, J. D., & Deibel, K. (2011) · ResearchWorks at the University of Washington (University of Washington) · Cited by 9
DOCTOR OF BUSINESS ADMINISTRATION
Milad, A. I., & Valley, P. (2008) · Cited by 8
Decorating omnichannels : Shedding light on the consumer perspective on omnichannel behavior
Berg, U., & Tornblad, J. (2017) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 8
An empirical study on the e-learning acceptance among the Finnish labor
Rissa, J. (2014) · Aaltodoc (Aalto University) · Cited by 8
Jung, S. H., & Park, K. S. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3084462 · Cited by 8
Abou‐Shouk, M. (2012) · PEARL (University of Plymouth) · doi:10.24382/1501 · Cited by 8
Dong, L., Al‐Natour, S., Omeziri, U. W., & Turetken, O. (2022) · Enterprise Information Systems · doi:10.1080/17517575.2022.2093617 · Cited by 7
“The scales measuring perceived usefulness and computer self-efficacy were adapted from the scales proposed by Venkatesh and Bala (2008), which were adapted to the context of ES by Peng, Sun, and Guo (2018).”
MethodAcceptance of online customer channels for damage claims in Germany
Lang, F., & Riegel, L. (2023) · Information Technology and Management · doi:10.1007/s10799-023-00404-z · Cited by 7
“This finding confirms related studies that have shown an impact on PEOU by related concepts such as personal innovativeness towards technology [34] or computer playfulness [26].”
Telemedicine Adoption for Healthcare Delivery: A Systematic Review
Ghiwaa, T., Khan, I., White, M., & Beloff, N. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01411125 · Cited by 7
“Some of these models include the Technology Acceptance Model (TAM) [15], [16], Unified Theory of Ac-ceptance and Use of Technology (UTAUT) [17], Diffusion of Innovations Theory (DOI) [18], Theory of Planned Behavior (TPB) [19], Theory of Reasoned Action (TRA) [20], and Health Belief Model (HBM)…”
MethodConsumers' Drivers of Generative Pre-Trained Transformer (GPT) Conversational Bot Adoption
Fares, O. H., Zhu, Q., Lee, S. H., & Aversa, J. M. (2024) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/979-8-3693-1239-1.ch005 · Cited by 7
Mata, M., Ancheta, R., Batucan, G., & Gonzales, G. G. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.100967 · Cited by 14
Lim, C.-W., Liew, K. Y., Lim, S.-H., Cheema, M., Sulaiman, P. S., Harith, H., Saidi, H. I., & Tham, C. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00472-3 · Cited by 10
Establishing a Model for the User Acceptance of Cybersecurity Training
Fallatah, W., Kävrestad, J., & Furnell, S. (2024) · Future Internet · doi:10.3390/fi16080294 · Cited by 7
Improving brand love through branded apps: is that possible?
Tran, T. P., Zemanek, J. E., & Sakib, M. N. (2024) · Journal of Marketing Analytics · doi:10.1057/s41270-024-00356-5 · Cited by 12
Determinants of Chatbot adoption among older adults: An extended TAM approach using PLS-SEM
Wu, C., Chen, C.-T., Huang, K., & Chou, Y.-Y. (2025) · Information Development · doi:10.1177/02666669251315839 · Cited by 9
“PU and PEOU were assessed using items from Venkatesh and Bala (2008), which evaluated aspects such as convenience and ease of interaction.”
Förster, K., & Strauß, T. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100198 · Cited by 10
Zhang, H., Li, F., & Chen, X. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251335185 · Cited by 9
“Building on Venkatesh and Bala ’ s (2008) assertion that attitudinal and normative forces interactively shape technology continuance, coupled with Li et al. ’ s (2023) fi ndings on academic social dynamics, we posit that perceived social validation (SN) ampli fi es the effect of positive attitudes…”
Huang, Y., Li, S., & Liu, Z. (2025) · Studies in Higher Education · doi:10.1080/03075079.2025.2495710 · Cited by 9
“GenAI support was measured using five items modified from the Unified Theory of Acceptance and Use of Technology Model (UTAUT) (Venkatesh et al. 2003) and the Technology Acceptance Model (TAM) (Venkatesh and Bala 2008).”
Choi, J., Lee, S. W., & Hyun, K. H. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713502 · Cited by 11
“After each task, participants completed a survey that included questions evaluating their satisfaction with the generated designs and search process [20], the quality of the designs, and their behavioral intentions [52] on a 7-point Likert scale.”
Arpacı, İ., Al‐Emran, M., Al-Qaysi, N., & Al-Sharafi, M. A. (2025) · TechTrends · doi:10.1007/s11528-025-01089-7 · Cited by 10
“TAM explains technology acceptance in terms of “Perceived Usefulness” (PU) and “Perceived Ease of Use” (PEOU) (Davis, 1989; Venkatesh & Bala, 2008; Venkatesh & Davis, 2000).”
Ren, Y., Qu, Y., Liang, J., & Zhao, F. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20020114 · Cited by 7
Enablers, Barriers, and Pedagogical Strategies in Diverse Learning Environments
Ajani, O. A. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1000-8.ch001 · Cited by 8
Managing generative artificial intelligence in the daily lives of people with disabilities
Bagnato, G., Moreno, F. R., Giachino, C., & Ali, A. A. (2025) · Management Decision · doi:10.1108/md-10-2024-2471 · Cited by 7
Zhu, S., Li, Q. H., Yao, Y., Li, J., & Zhu, X. (2025) · Assessing Writing · doi:10.1016/j.asw.2025.100960 · Cited by 12
Cryptocurrency frames of reference: a case study of accepting ‘Bitcoin-as-X’
Schlagwein, D., Gozman, D., & Manusu, A. P. (2025) · European Journal of Information Systems · doi:10.1080/0960085x.2025.2530456 · Cited by 8
“Previous theories have considered how individuals’ technology adoption decisions could be impacted by observing others using the technology (Adesina & Zinnah, 1993) or the (intended) image and social status (Venkatesh & Bala, 2008).”
Ismail, N., & Joshy, L. M. (2025) · Management and Labour Studies · doi:10.1177/0258042x251357415 · Cited by 11
“Venkatesh and Bala (2008) have identified the influence of PUT, alongside external support perceptions (perception of external control).”
Martin, F., Gezer, T., & Ceviker, E. (2025) · Journal of Research on Technology in Education · doi:10.1080/15391523.2025.2534951 · Cited by 14
Zhang, H., & Zhang, L. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105423 · Cited by 8
AKADEMİSYENLERİN YAPAY ZEKÂ TEKNOLOJİLERİNİ KULLANMA MOTİVASYONLARI ÜZERİNE NİTEL BİR ARAŞTIRMA
Ulaş, M. (2025) · Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.35379/cusosbil.1679553 · Cited by 8
Luo, J., Sun, M., Cao, J., & Li, H. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13780-6 · Cited by 7
“…technology acceptance using models like the Technology Acceptance Model (TAM; Davis, 1989) and its extensions (TAM2, TAM3; Scherer, et al., 2019; Venkatesh & Bala, 2008; Venkatesh & Davis, 2000), and the Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al., 2003), a…”
An empirical study on the use behavior towards AI painting tools based on TAM3 model
Li, Y., Siek, H. L., & Guo, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-24405-w · Cited by 7
Peñarroya-Farell, M., Vaziri, M., Rivera, S., & Miralles, F. (2025) · Administrative Sciences · doi:10.3390/admsci15120494 · Cited by 15
“Extensions of TAM (e.g., TAM3) have introduced contextual elements such as subjective norms and perceived risk (Venkatesh & Bala, 2008).”
Xian, T., Mehandjiev, N., Constantinides, P., Chen, Y., Quboa, Q., & Kitchen, G. B. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106287 · Cited by 10
The Role of Artificial Intelligence in Smart Tourism: Efficiency and Privacy Perspectives
Wang, P., Zhang, L., Xiong, H., & Ye, L. (2026) · International Journal of Tourism Research · doi:10.1002/jtr.70232 · Cited by 9
Coleman, A., & Iyawa, G. E. (2015) · International Science and Technology Journal of Namibia · Cited by 7
Developing a Framework to Improve and Embed Project Management Practices in Organisations
Fernandes, G., Ward, S. C., & Araújo, M. (2013) · Procedia Technology · doi:10.1016/j.protcy.2013.12.094 · Cited by 7
“‘Perceived usefulness’ Technology Acceptance Model (TAM3) posits that adopter acceptance is determined by only this key factor or adopter’s believe and the next one [6] 11.”
BackgroundInfluentialYan, Z., & Chen, Y. (2011) · doi:10.1145/2030066.2030079 · Cited by 7
“Our interview was designed based on the TAM model (Technology Acceptance Model) and its extension, which indicates that usefulness, ease of use and playfulness lead to user acceptance [14, 15].”
MethodRechtsverträgliche und qualitätszentrierte Gestaltung für „KI made in Germany“
Knote, R., Thies, L. F., Söllner, M., et al. (2020) · Informatik-Spektrum · doi:10.1007/s00287-020-01252-9 · Cited by 7
The Role of Co-Innovation Platform and E-Collaboration ICTs in Facilitating Entrepreneurial Ventures
Osmani, M., El‐Haddadeh, R., Hindi, N. M., & Weerakkody, V. (2020) · International Journal of E-Entrepreneurship and Innovation · doi:10.4018/ijeei.2020070104 · Cited by 7
Propose Model for Consumers’ Perceptions and Acceptance of e-Health Systems and Services in Jordan
Alifan, B., Makhtar, M., & El–Ebiary, Y. A. B. (2020) · International Journal of Engineering Trends and Technology · doi:10.14445/22315381/cati3p201 · Cited by 7
Köhler, S., Koldrack, P., Zarm, K., Weschke, S., Klein, O. A., Kirste, T., & Teipel, S. J. (2021) · Gerontechnology · doi:10.4017/gt.2021.20.2.435.04 · Cited by 7
The Crowdfunding Model, Collective Intelligence, and Open Innovation
Pyo, S., Ryul, H., Na, S., & Oh, D.-H. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7030196 · Cited by 8
“Since then, the TAM3 was proposed, with conditioned variables of perceived ease (self-efficacy, external support perception, anxiety, playfulness) and regulatory variables (perceived pleasure, objective ease) [33].”
Background
Metadata
- Authors
- Venkatesh, V., & Bala, H.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Indiana University Bloomington (US)
- Corresponding author
- Venkatesh, Viswanath
- Bala, Hillol
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2008-05
- Volume
- 39
- Issue
- 2
- Pages
- 273-315
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2112042732
- Cited by
- 8,159
- References
- 135
- Citations by year
- 2026: 909 · 2025: 912 · 2024: 780 · 2023: 746 · 2022: 717 · 2021: 645 · 2020: 556 · 2019: 499 · 2018: 396 · 2017: 379 · 2016: 320 · 2015: 324 · 2014: 287 · 2013: 266 · 2012: 186
- FWCI
- 175.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Decision Sciences (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- technology acceptance model, information technology adoption, information technology use, perceived usefulness, perceived ease of use, management interventions, IT implementation, organizational decision-making, nomological network
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-09-30, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-09-30 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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