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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Items 3,701–3,800 of 8,090
Erfassung akzeptanzrelevanter Merkmale von Datenbrillen mittels Repertory Grid Technik
Grauel, B., Terhoeven, J., Wischniewski, S., et al. (2014) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/bf03373926 · Cited by 7
Sun, K., Zuo, M., & Kong, D. (2016) · International Journal of Asian Business and Information Management · doi:10.4018/ijabim.2017010102 · Cited by 7
Psychological Antecedents of Smartphone Users’ Behaviour Along the Mobile Customer Journey
Wozniak, T., Schaffner, D., Stanoevska‐Slabeva, K., et al. (2017) · Springer eBooks · doi:10.1007/978-3-319-51168-9_23 · Cited by 7
Simulation and serious games for firefighter training : challenges for effective use
Heldal, I., Wijkmark, C. H., & Pareto, L. (2016) · Cited by 7
End-user Acceptance of Technology Interface In Transaction Based Environment
Bolar, K. P. (2014) · The Journal of Internet Banking and Commerce · Cited by 7
Developing a MOOC experimentation platform
Kovanović, V., Joksimovíc, S., Katerinopoulos, P., Michail, C., Siemens, G., & Gašević, D. (2017) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3027385.3027398 · Cited by 9
“The design of the study instrument was based on the technology acceptance model (TAM) [26] which is a psychometric tool commonly used for assessing the suitability of software systems.”
MethodBianchi, C. G., & de Figueiredo, J. C. B. (2017) · RAI revista de administração e inovação · doi:10.1016/j.rai.2017.07.004 · Cited by 7
“TAM and TAM2 may be used to analyze the information technology adoption process from a personal or organizational point of view, but Venkatesh and Bala (2008) considered there was a gap to be filled.”
BackgroundMethodUsing IT for Distance Learning: Benefits and Challenges for African Learners
Karsenti, T., & Collin, S. (2012) · Informing Science and IT Education Conference · doi:10.28945/1652 · Cited by 7
Bulut Bilişim Teknolojileri Kabul Modeli 3: Ölçek Uyarlama Çalışması
Hamutoğlu, N. B. (2018) · Sakarya University Journal of Education · doi:10.19126/suje.297586 · Cited by 7
Adoption of e-Government Services: A Case Study on e-Filing System of Income Tax Department of India
Singh, H., Kar, A. K., & Ilavarasan, P. V. (2018) · Asset analytics · doi:10.1007/978-981-13-1954-9_8 · Cited by 7
Putra, R. D., & Samopa, F. (2018) · doi:10.2991/miseic-18.2018.30 · Cited by 7
Gutschmidt, A. (2019) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-22993-1_9 · Cited by 7
Deshmukh, A. A., Krishna, S., Akshay, N., Vennila, V., Sivaprasad, J. V., & Bhavani, R. R. (2018) · IEEE RO-MAN · doi:10.1109/roman.2018.8525589 · Cited by 9
“The participant was interviewed after the task and their response recorded using the post-questionnaire [10], [11] and also in form of audio recordings.”
MethodArones, C. Q., Fernández, C. L., & Moquillaza, A. (2019) · 3C TIC Cuadernos de desarrollo aplicados a las TIC · doi:10.17993/3ctic.2019.81.12-35 · Cited by 7
Binyamin, S. S., Rutter, M. J., Smith, S., & Alshehri, A. (2019) · EDULEARN proceedings · doi:10.21125/edulearn.2019.2695 · Cited by 7
“The significance of PEOU, PU and BI was suggested by various technology models, such as TAM [33], TAM2 [90], the model of PEOU determinants [91] and TAM3 [92].”
MethodLess is More! Preliminary Evaluation of Multi-Functional Document-Based Online Learning Environment
Isomöttönen, V., Lakanen, A.-J., & Lappalainen, V. (2019) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie43999.2019.9028353 · Cited by 9
“TAM has since been refined in subsequent iterations [8], [9].”
BackgroundZapata, G. C. (2020) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v21i2.4607 · Cited by 7
Hamakhan, Y. T. M. (2020) · Financial Internet Quarterly · doi:10.2478/fiqf-2020-0006 · Cited by 7
“Individual level technology adoption is one of the most mature streams of IS research (Venkatesh et al., 2007) thus in this research Individual Factors are rated as Second-order (higher-order components) contained from four sub-dimensional indicators (lower-order components) which are performance…”
MethodComparison of Manual and Automated Decision-Making with a Logistics Serious Game
Mes, M., & van Heeswijk, W. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59747-4_45 · Cited by 8
Seyhun, S., & Kurtuldu, G. (2020) · Trakya Üniversitesi sosyal bilimler dergisi/Trakya Üniversitesi Sosyal Bilimler dergisi · doi:10.26468/trakyasobed.617630 · Cited by 13
Pickering, B., Bartholomew, R., Janian, M. N., López-Moreno, B., & Surridge, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49059-1_9 · Cited by 8
Cajo, B. G. H. (2020) · UTE Teaching & techonology Universitas Tarraconsensis · doi:10.17345/ute.2020.2.2860 · Cited by 7
Rothenbusch, S., & Kauffeld, S. (2020) · Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO) · doi:10.1007/s11612-020-00526-w · Cited by 7
Reyes, M., & Castañeda, P. (2020) · Revista peruana de computación y sistemas · doi:10.15381/rpcs.v3i1.18350 · Cited by 7
Greiner, C., Jovy-Klein, F., & Peisl, T. C. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-63128-4_3 · Cited by 7
Perju-Mitran, A., Zirra, D., Căruţaşu, G., Pîrjan, A., & Stănică, J.-L. (2020) · Sustainability · doi:10.3390/su12229488 · Cited by 7
Design and Evaluation of an Adaptive Empathy Learning Tool
Wambsganss, T., Weber, F., & Söllner, M. (2021) · Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.007 · Cited by 5
“3) Posttest phase: In the post-survey, we measured perceived usefulness (PU), intention to use (ITU) and ease of use (PEOU) following the technology acceptance model of [48].”
MethodMushi, R. (2020) · Journal of International Technology and Information Management · doi:10.58729/1941-6679.1450 · Cited by 7
“Self Efficacy is a belief of users of a technology that they can use it effectively to perform their intended activities and that the technology itself is capable of being utilised to do so (R. Mushi et al., 2018; Venkatesh & Bala, 2008).”
BackgroundFemale lens in urban mobility: technology-use behavior and individual differences
Hino, M. C., & Cunha, M. A. (2021) · Information Technology and People · doi:10.1108/itp-05-2020-0342 · Cited by 8
Placemaking for Urban Sustainability
Paraschivoiu, I., & Layer-Wagner, T. (2021) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/3450337.3483482 · Cited by 7
Bodendorf, F., & Franke, J. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.144 · Cited by 7
Digital Identity and Quality of Life Technologies in the Older Adults
Martín-García, A., Murciano-Hueso, A., Torrijos-Fincias, P., & Gutiérrez-Pérez, B. (2021) · Identity in a Hyperconnected Society · doi:10.1007/978-3-030-85788-2_12 · Cited by 4
Students' Responses to Learning Management Systems in a Blended Learning Context
Attuquayefio, S. N. B. (2022) · International Journal of Online Pedagogy and Course Design · doi:10.4018/ijopcd.293208 · Cited by 7
Ernst, C.-P. H., Wedel, K., & Rothlauf, F. (2014) · Scientific Publication Server (Frankfurt University of Applied Sciences) · Cited by 7
Krisnawati, M., Wienadi, J., & Wiradinata, T. (2021) · Jurnal Entrepreneur dan Entrepreneurship · doi:10.37715/jee.v10i2.2212 · Cited by 7
“This model explains the main factors of user behaviour toward information technology acceptance (Davis, 1989; Venkatesh & Bala, 2008).”
BackgroundExploring Chinese EFL Teachers’ Acceptance of Mobile-Assisted Language Learning (MALL)
Lin, Z., Abdullah, A. N., & Samad, A. A. (2022) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2022.12.11.1735 · Cited by 7
“When looking into the theories about users’ behavior regarding technology use, there are many different theories or models in the previous literature: Theory of Planned Behavior (TPB) [37], Technology Acceptance Model (TAM) [12], TAM 2 [38], TAM 3 [39], Unified Theory of Acceptance and Use of Technology (UTAUT) [40],…”
MethodOvercoming Variance and Process Distinctions in Information Systems Research
de Guinea, A. O., & Webster, J. (2014) · International Conference on Information Systems · Cited by 7
CloudRec: A Mobile Cloud Service Recommender System Based on Adaptive QoS Management
Tang, W., & Yan, Z. (2015) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications / BigDataSE / ISPA (Trustcom/BigDataSE/ISPA) · doi:10.1109/trustcom.2015.351 · 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 [15, 16].”
MethodFactors Influencing Use of Monsoonsim Business Simulation by UTM Undergraduate Students
Yatim, S. M., Goh, C. F., & Mohamad, R. Z. (2018) · International Journal of Learning and Development · doi:10.5296/ijld.v8i2.13073 · Cited by 7
“Usually, for studies which look at the users’ acceptance of technology, data needs to be collected several times (for example, at one month, three months, and six months) to obtain more accurate results (Venkatesh & Bala, 2008).”
ResultUser Insights about Using Immersive Virtual Reality in Industrial Design Studio Courses
Hamurcu, A. (2018) · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · doi:10.1109/ismsit.2018.8567058 · Cited by 7
“Technology Acceptance Model 3 (TAM3) [22] Fig.”
Exploring Surgeon’s Acceptance of Virtual Reality Headset for Training
Hen, L. B. (2019) · Progress in IS · doi:10.1007/978-3-030-06246-0_21 · Cited by 7
Drivers and deterrents of music streaming services purchase intention
Fernandes, T., Jo�ã, N. A., & Guerra, Ó. (2019) · International Journal of Electronic Business · doi:10.1504/ijeb.2019.10020273 · Cited by 15
“Moreover, Venkatesh and Bala (2008) proposed an upgrade of the original TAM, the TAM 3.”
BackgroundYin, Z., Caldas, C. H., de Oliveira, D., Hwang, B., & Shan, M. (2020) · Journal of Quality in Maintenance Engineering · doi:10.1108/jqme-11-2018-0097 · Cited by 7
Solichin, A., & Wijaya, R. (2021) · JURNAL INFOTEL · doi:10.20895/infotel.v13i3.662 · Cited by 7
“Several ways that can be used to measure the acceptance of information systems include the Technology Acceptance Model (TAM) [3], [4], the unified theory of acceptance and use of technology (UTAUT) [5], and the Theory of Planned Behavior (TPB).”
BackgroundMethodA New Method and Results for Analyzing Decision-Making Processes in Automated Driving on Highways
Altendorf, E., Schreck, C., & Flemisch, F. O. (2016) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-41682-3_48 · Cited by 7
Disruption Technology in Mobility: Customer Acceptance and Examples
Bongaerts, R., Kwiatkowski, M., & König, T. M. (2016) · Springer eBooks · doi:10.1007/978-3-319-44468-0_8 · Cited by 7
“Perceived ease of use is defined as the degree to which an individual perceives the new technology to be usable with minor effort (Davis, Richard & Warshaw, 1989, Venkatesh & Bala, 2008).”
BackgroundWang, X., & Wong, B. (2018) · Journal of Educational Computing Research · doi:10.1177/0735633118759455 · Cited by 7
Mhina, J. R. A., & Johar, M. G. M. (2018) · International Journal of Managing Information Technology · doi:10.5121/ijmit.2018.10205 · Cited by 7
Lotfy, M. A. M. B. (2015) · ScholarWorks (Walden University) · Cited by 7
School Teachers' Intention to Use E-Learning Systems in Sri Lanka: A Modified TAM Approach
Nawaz, S. S., Thowfeek, M. H., & Fathima, M. (2018) · doi:10.13140/rg.2.2.30944.12805 · Cited by 7
Kummer, C. (2013) · Qucosa (Saxon State and University Library Dresden) · Cited by 7
Nugroho, R. A. (2015) · The University of Queensland · doi:10.14264/uql.2015.1021 · Cited by 7
“Indicators such as training availability, technical support availability from TAM 3 (Venkatesh and Bala, 2008) and infrastructure availability from the TOE framework (Tornatzky and Fleischer, 1990) were employed in the present study.”
BackgroundMethodDeterminants of e-banking adoption: A non-users perspective in Pakistan
Ali, M., Puah, C., & Arif, I. (2015) · Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) · doi:10.13140/rg.2.1.5117.8320 · Cited by 7
The Impact of Mobile Broadband on the Digital Divide Affecting Older AdultsPreprint
McDonough, C. C., & Kingsley, D. C. (2015) · SSRN Electronic Journal · Cited by 6
AN APPLICATION AND EXTENSION OF THE TECHNOLOGY ACCEPTANCE MODEL TO NONPROFIT CERTIFICATION.
Slatten, L. A. D. (2009) · Academy of Management Proceedings · doi:10.5465/ambpp.2009.44244348 · Cited by 7
“This research adds to the body of knowledge by offering a comprehensive nomological network of the determinants of information technologies adoption and use (Venkatesh & Bala, 2008).”
MethodDelgado, J. C. S. (2018) · doi:10.35537/10915/71063 · Cited by 7
Zhou, J., & Gao, Q. (2021) · Wiley eBooks · doi:10.1002/9781119636113.ch48 · Cited by 7
Guo, Y., Chen, J., & Liu, Z. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3802316 · Cited by 7
Mondellini, M., Colombo, V. M., Arlati, S., Lawson, G., & Cobb, S. V. G. (2022) · Wiley eBooks · doi:10.1002/9781119865810.ch10 · Cited by 7
Barriers and enablers to teachers' adoption of online teaching at an Australian University
Anderson, C. (2012) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27354786 · Cited by 7
Balestrin, M., Brasil, C. C. B., Bellei, E. A., Marchi, A. C. B. D., Kirsten, V. R., & Wagner, M. B. (2022) · Reciis · doi:10.29397/reciis.v16i3.2367 · Cited by 6
Towards conscientiousness-based graphical user interface design guidelines
Alves, T., Nunes, D., Gonçalves, D. J. V., Henriques‐Calado, J., & Gama, S. P. (2022) · Personal and Ubiquitous Computing · doi:10.1007/s00779-022-01693-x · Cited by 6
“Regarding ease-of-use, it was assessed with the TAM3 [69].”
BackgroundMethodInfluentialAdoption and use of smart devices as clickers in classrooms in higher education
Demeke, W. (2023) · Computer Applications in Engineering Education · doi:10.1002/cae.22617 · Cited by 6
“Table 2 shows the latent and observed items based on Venkatesh and Bala [41].”
BackgroundMethodInfluentialSchorr, A., & Gorovoj, A. (2023) · Journal of Humanities Arts and Social Science · doi:10.26855/jhass.2023.09.036 · Cited by 9
“…Social-Cognitive Learning Theory (1997) was included in TAM3 as (domain-specific) computer self-efficacy by Venkatesh and Bala, who defined it as the “degree to which an individual believes that he or she can perform a specific task/job using the computer” (Venkatesh & Bala, 2008, p. 279).”
BackgroundMethodWijaya, I. D., Astuti, E. S., Yulianto, E., & Abdillah, Y. (2024) · KnE Social Sciences · doi:10.18502/kss.v9i11.15804 · Cited by 13
“From this development, a frame of mind can be made according to TAM theory referring to the TAM theoretical model which was modified for the first time by Davis [5] to TAM Theory 3 [31] and Extended TAM.”
BackgroundMethodEarly Model-Based Safety Analysis for Collaborative Robotic Systems
Manjunath, M., Raja, J. J., & Daun, M. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3440048 · Cited by 7
“To improve objectivity of the value, we used standardized questionnaire items from the TAM 3 (Technology Acceptance Model v.3, cf. [40]).”
Fonseca, C. E. R., Zaina, L. A. M., & Marques, A. B. (2024) · doi:10.5753/sbes.2024.3413 · Cited by 6
“A Tabela 2 apresenta as afirmativas do modelo TAM [45] adapta-das para cada método e inseridas no questionário de feedback.”
BackgroundXia, R., & Yang, S. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1423382 · Cited by 7
“After this, technology acceptance models adapted to the dynamics of more new technological developments such as TAM2 (Venkatesh and Davis, 2000), TAM3 (Venkatesh and Bala, 2008), and UTAUT (Venkatesh et al., 2003) have emerged, which are commonly used respectively in order to study the factors influencing technology ac…”
Singh, K. P., & Kumar, P. (2024) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2024.100550 · Cited by 13
“…online portal where individuals can obtain medical consultation, order prescription medications upon submission of a valid prescription, access over-the-counter (OTC) health products, and in some instances, arrange for relevant health examinations, with all services delivered to their residence.”
Consales, A., Biffi, E., Nossa, R., Pittaccio, S., Lazzari, F., Malosio, M., Nicora, M. L., Tauro, G., Redaelli, D. F., Chaudhary, A., et al. (2024) · The Italian Journal of Pediatrics/Italian journal of pediatrics · doi:10.1186/s13052-024-01830-7 · Cited by 7
Kong, S. C., Lin, T. J., & Yee Man Kayla, S. I. U. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105249 · Cited by 7
Understanding the Drivers of Cryptocurrency Acceptance: An Empirical Study of Individual Adoption
Hidegföldi, M., Csizmazia, G. L., & Karpavičė, J. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.02.151 · Cited by 6
The Impact of Artificial Intelligence on Employee Adaptability to Remote Work
Hammoumi, A. E., Seghyar, N., Hammoumi, A. M. E., & Ouali, A. E. (2024) · International Conference on Embedded Systems and Artificial Intelligence (ESAI) · doi:10.1109/esai62891.2024.10913897 · Cited by 6
Al‐Hattami, H. M., Battour, M., & Al‐Bukhrani, M. A. (2025) · Strategic Change · doi:10.1002/jsc.2654 · Cited by 13
Frenkel, J., Kirst, S., Naumann, S., Simon, M., Seßner, J., Roesler, E., Onnasch, L., & Dziobek, I. (2025) · Scientific Reports · doi:10.1038/s41598-025-93970-x · Cited by 12
Cancer patients’ acceptance of virtual reality interventions for self-emotion regulation
Zeng, F., Li, Q., Cai, S., Xiao, Z., Chen, X., Zhu, W., & Li, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-95160-1 · Cited by 7
“Subsequently, Venkatesh and Davis introduced TAM2 93 , while Venkatesh et al. proposed the Unified Theory of Acceptance and Use of Technology (UTAUT) 63 , Lin introduced the Technology Readiness and Acceptance Model (TRAM) 64 , Venkatesh and Bala proposed TAM3 65 , and Venkatesh et al. introduced UTAUT2 66 .”
Measuring perceived security in FinTech services: developing a dynamic scale
AlHassan, H. A., Papastathopoulos, A., & Nobanee, H. (2025) · European Journal of Information Systems · doi:10.1080/0960085x.2025.2491449 · Cited by 11
“Initially, Davis (1989) emphasized the need for scholars to investigate and understand the external factors and determinants that may influence the behavioral attributes of adopting a new technology, such as perceived usefulness (Venkatesh & Bala, 2008).”
Factors Influencing Cross-Border E-Commerce Adoption of Thai MSMEs: A Fuzzy DEMATEL Approach
Madhavan, M., Sharafuddin, M. A., & Wangtueai, S. (2025) · Sustainability · doi:10.3390/su17083632 · Cited by 6
Orim, F. S., Ofem, U. J., Edam-Agbor, I. B., Nsan, N. N., Okri, J. A., Ekpang, P. O., Ogunjimi, B. E., Egbe, I. M., Ukatu, J. O., Angrey, C. U., et al. (2025) · Discover Education · doi:10.1007/s44217-025-00481-y · Cited by 16
The Paradox of Customer Participation: The Role of Perceived Risk in Technology‐Based Innovation
Yuk, H., Hwang, E., Garrett, T. C., & Lee, J. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70062 · Cited by 7
From Security Frameworks to Sustainable Municipal Cybersecurity Capabilities
Vestad, A., & Yang, B. (2025) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp5020019 · Cited by 6
“For example, it is well established that the introduction of technology alone is insufficient to drive value without actual usage [34], and that actual technology adoption is dependent on the skills and education of the workforce [35].”
Factors influencing the Islamic Fintech acceptance: moderating role of Islamic financial literacy
Mahmoud, M. A., Ma’aji, M. M., Abdullahi, M. S., Karaye, A. B., & Garba, A. S. (2025) · Journal of Islamic accounting and business research · doi:10.1108/jiabr-08-2024-0322 · Cited by 16
Assessing industry 4.0 readiness: a TOE-P framework for the sugar industry in developing economies
Pandey, S. C., Virmani, N., Choudhary, D., & Jagtap, S. (2025) · Discover Sustainability · doi:10.1007/s43621-025-01212-x · Cited by 6
Scialanca, M., Alexander, K., & Tofighi, B. (2025) · Journal of Medical Internet Research · doi:10.2196/69538 · Cited by 7
“The Technology Acceptance Model also reinforces a theoretically driven approach to applying patient feedback to inform intervention design and iterative refinement (eg, perceived usefulness, ease of use, relevance, and intrusiveness) that may further enhance adoption [50].”
Assessing Digital Technologies’ Adoption in Romanian Secondary Schools
Vărzaru, A. A., & Ghiță, C. R. (2025) · Applied Sciences · doi:10.3390/app15116157 · Cited by 6
Perspectives on Social Work in the Digital Age
Segal, M., Lens, O., & Gur, A. (2025) · Ethics and Social Welfare · doi:10.1080/17496535.2025.2517104 · Cited by 6
“…a TAM perspective, these challenges may diminish Perceived Usefulness for aspects of practice requiring strong emotional connections (Chuttur 2009; Venkatesh and Bala 2008), highlighting a tension in technology acceptance among social workers: digital tools present both limitations and…”
Artificial Intelligence Attitude and Innovative Performance in Emerging Economy
Xu, L. D., Cherian, J. P., Alturise, F., Alkhalaf, S., Mikhaylov, A. Y., & Comite, U. (2025) · Journal of Global Information Management · doi:10.4018/jgim.384084 · Cited by 10
He, W., Sleiman, K. A. A., & Suliman, M. A. E. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105345 · Cited by 11
Shonubi, O. A. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101041 · Cited by 12
Souza, G. H. C., Wanderley, C. D. A., & de Aguiar, A. B. (2025) · Journal of Management Control · doi:10.1007/s00187-025-00396-7 · Cited by 10
“Similarly, Venkatesh and Bala (2008) posited that when AI models possess characteristics such as intelligibility, users evaluate them more positively and demonstrate heightened perceptions of the model’s quality and usefulness.”
Bruni, F., Mancuso, V., & Pedroli, E. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1561364 · Cited by 14
“(64) used the SSQ (78), ITC-SOPI (75), and the Technology Acceptance Model 3 questionnaire (80).”
Alanazi, M., Li, A., Samra, H. E., & Soh, B. (2025) · Computers · doi:10.3390/computers14100411 · Cited by 10
Nævdal, R., Vis, C., & Kenter, R. M. F. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100881 · Cited by 6
“This supports findings from broader technology adoption literature suggesting that voluntariness alone does not drive sustained use if not accompanied by adequate training and support (Davis et al., 2024; Garavand et al., 2016; Venkatesh and Bala, 2008).”
InfluentialXie, Z., Or, C. K., & Ye, X. (2025) · Applied Ergonomics · doi:10.1016/j.apergo.2025.104655 · Cited by 6
Hebibi, F., Runge, I., Scheiter, K., & Lazarides, R. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13795-z · Cited by 11
“Along with assumptions of the TAM (Venkatesh & Bala, 2008) and SEVT (Eccles & Wigfield, 2020), we examined how technology-related teacher training and teachers’ technology-related self-efficacy were related to teachers’ perceived usefulness and costs of using digital technology in class, which in…”
InfluentialSmutný, Z., & Sudzina, F. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2573037 · Cited by 8
“Intentions to use the information technology, e.g., ChatGPT (INT) The construct is used in the Technology Acceptance Models (TAM) (Venkatesh & Bala, 2008) and UTAUT (Venkatesh et al., 2003, 2012) The intentions to use the information technology construct is defined as the individuals’ willingness…”
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Sides, T., Ismail, D. K. B., Farrell, T., & Third, A. (2025) · Digital Health · doi:10.1177/20552076251386706 · Cited by 7
“Combining TAM3 and UTAUT2 provided a more comprehensive understanding of stakeholder perceptions of AI, both individually and across various organisational levels.”
Khalufi, N. A. M. (2025) · Sustainability · doi:10.3390/su172411292 · Cited by 11
Riding into the future: What drives the use of robotaxis in San Francisco?
Greifenstein, M., Nordhoff, S., Wang, X., & Atluri, B. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104763 · Cited by 8
Shannaq, B., Almaqbali, S., Ali, O., & Marhoubi, A. H. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-07220-7_36 · Cited by 6
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).
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Statistics and arithmetic are recomputed, not judged.
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