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
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Items 4,001–4,100 of 8,090
Lei, S., & Jiang, S. (2025) · Health Communication · doi:10.1080/10410236.2025.2538729 · Cited by 5
“Second, although a large body of research emphasized the effects of personal factors (e.g., socio-demographics, health status, knowledge and skills) on eHealth adoption (Ahadzadeh et al., 2015; Venkatesh & Bala, 2008), few research has focused on interpersonal factors in this process.”
Keung, K. L., Lee, C. K. M., & Luk, K.-T. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030186 · Cited by 10
Jo, H. (2025) · Journal of Organizational Change Management · doi:10.1108/jocm-02-2024-0094 · Cited by 6
Exploring technology adoption in dairy farms: interactive management perspective
Kaushik, H. D., & Rajwanshi, R. (2025) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-06-2024-0229 · Cited by 5
Polat, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13695-2 · Cited by 8
“It reflects how colleagues, school administrators, students, and profes - sional communities influence a teacher’s decision to adopt technology (Venkatesh & Bala, 2008).”
GenAI in Indian higher education: faculty at the crossroads of adoption
Razi-ur-Rahim, M., Uddin, F., Chauhan, J., & Faisal, K. P. (2026) · Asian Education and Development Studies · doi:10.1108/aeds-04-2025-0194 · Cited by 9
Peer or Steer: A Pilot Study Exploring Human-AI Collaboration in Creative Fields
Lang, D., Hirschmann, F., Breckner, K., Neumayr, T., & Augstein, M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757643 · Cited by 6
“According to the TAM3 model [54], Behavioral Intention is directly influenced by Perceived Usefulness and indirectly by Perceived Ease of Use .”
InfluentialZhao, T., Zhou, S., Liang, Q., & Xi, L. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2551120 · Cited by 5
Opportunities challenges and roadmap for humanoid robots in construction
Uthai, T., You, H., Wang, M., Smith, K. E., Spackman, E., Ryan, Z., Li, S., & Du, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-30252-6 · Cited by 7
“Studies of technology adoption have shown that frameworks such as the Technology Acceptance Model (TAM3) 285 and the Unified Theory of Acceptance and Use of Technology (UTAUT) 286 provide better lenses for understanding how construction professionals evaluate robotic systems.”
Li, X., & Xiao, L. (2025) · Australasian Marketing Journal (AMJ) · doi:10.1177/14413582251390582 · Cited by 9
“Prior studies have demonstrated that high usability increases user satisfaction and engagement (Venkatesh & Bala, 2008), which is crucial for employee acceptance of GenAI tools.”
Zhang, Y., Chen, X. S., & Wei, S. (2026) · Information Technology and People · doi:10.1108/itp-09-2024-1233 · Cited by 8
Gong, Y., Guo, Y., Zhang, T., Zhu, X., & Wang, L. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2025.106121 · Cited by 6
Who uses general-purpose AI? A typology of ChatGPT early adopters
Gerling, C., Teubner, T., & Braesemann, F. (2026) · Electronic Markets · doi:10.1007/s12525-025-00853-0 · Cited by 11
“This factor measures the instrumental value of a system as the extent to which it is applicable to the user’s job (Venkatesh & Bala, 2008; Venkatesh & Davis, 2000).”
Angrisani, M., Casanova, M., Fast, N. J., Narang, J., & Schroeder, J. (2026) · PNAS Nexus · doi:10.1093/pnasnexus/pgag007 · Cited by 7
“While our data allow us to assess several determinants of technology adoption emphasized in TAM as well as some novel ones, they do not permit a direct assessment of others, such as social influence or technology-related anxiety or enjoyment (43, 44).”
The predictive effects of user perceptions on the willingness to continue using machine translation
Man, D. (2026) · Translation and Interpreting Studies · doi:10.1075/tis.25014.man · Cited by 5
Deng, Z., Du, Q., Lei, B., & Bi, W. (2026) · npj Heritage Science · doi:10.1038/s40494-026-02345-6 · Cited by 12
“TAM emphasizes perceived usefulness and ease of use but over-looks identity construction and emotional engagement 65 , and remains insuf fi cient in addressing culturally embedded behaviors 66 – 69 .”
Alotaibi, N. B. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.100990 · Cited by 12
Understanding EFL teachers’ affective and cognitive responses to ChatGPT in higher education
Wang, C., Zou, B., Zhang, W., Du, Y., & Hu, W. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07360-3 · Cited by 9
“On the other hand, ANX is considered a strong negative predictor of PEU, as it represents a form of negative emotion that may heighten users ’ fear and uncertainty when interacting with technology (Venkatesh and Bala 2008).”
Continuance Intention to Use Bilibili for Online Learning
Liu, X., & Yu, Z. (2023) · International Journal of Adult Education and Technology · doi:10.4018/ijaet.322387 · Cited by 6
Shehu, S. A. (2023) · Shodh Sari-An International Multidisciplinary Journal · doi:10.59231/sari7582 · Cited by 5
Ma, X., Xiang, Y., Qin, C., Liang, H., & Liu, D. (2023) · The Electronic Library · doi:10.1108/el-06-2023-0155 · Cited by 5
Terp, R., Kayser, L., & Lindhardt, T. (2024) · BMC Geriatrics · doi:10.1186/s12877-023-04582-x · Cited by 5
“According to the Technology Acceptance Model 3 (TAM3), an individual’s perception of a technology’s ease of use and usefulness are important determinants of IT adoption and use [36].”
MethodNavarro, R., Baldeón, G., García, A., & Bernal, V. M. G. (2023) · Digital Education Review · doi:10.1344/der.2023.44.13-22 · Cited by 5
“Por eso, los posteriores estudios sobre aceptación han incluido factores sociales y contextuales, desarrollándose nuevas versiones del TAM, como TAM2 (Venkatesh & Davis, 2000) o TAM 3 (Venkatesh & Bala, 2008).”
BackgroundInfluentialLegal technology acceptance in Vietnam’s courts
Nguyễn, N. Á., Nguyen, P. V., & Bui, K. H. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2321955 · Cited by 6
“…adopt technology, including the attitude towards utilizing technology, perceived simplicity, and perceived usefulness (Davis, 1989). newer versions (Venkatesh & Bala, 2008) and most extensions of the tam avoid mentioning attitude towards the use of advanced technology (alarie et al., 2018; feng et…”
Islam, T., & Zhou, E. (2024) · Advances in management and applied economics · doi:10.47260/amae/1457 · Cited by 5
Wu, X., Yan, Y., Zhu, W., & Yang, N. (2024) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-240798 · Cited by 5
“Subsequent research has shown that the UTAUT model can achieve a 70% explanatory power for information technology adoption behavior, surpassing similar models in the field [28].”
Segmented Trust Assessment in Autonomous Vehicles via Eye-Tracking
Lukovics, M., Prónay, S., & Nagy, B. (2024) · Journal of Intelligent and Connected Vehicles · doi:10.26599/jicv.2023.9210037 · Cited by 6
Navarro, E., Temprado, J.-J., & Mascret, N. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1405231 · Cited by 5
“The most frequently used model to study acceptance of technology is the technology acceptance model (TAM) (22–24).”
MethodIkuabe, M. O., Aigbavboa, C. O., Anumba, C. J., et al. (2024) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-07-2023-0176 · Cited by 5
How Do Professionals in SMEs Engage With AI and Regulation? An Interview Study in Austria
Wolf-Brenner, C., Pammer‐Schindler, V., & Breitfuß, G. (2024) · Mensch und Computer (MuC) · doi:10.1145/3670653.3677514 · Cited by 5
“Literature demonstrates that the adoption and effective use of technology heavily depend on the availability and quality of such interventions [10, 12, 19].”
THE IMPACT OF E-COMMERCE ON OPERATIONAL COST EFFICIENCY IN MODERN BUSINESSES
Sharma, K. (2024) · Sachetas · doi:10.55955/330006 · Cited by 5
Readiness towards fintech adoption among micro-entrepreneurs in Malaysia
Azman, N. H. N., Kepili, E. I. Z., Pitchay, A. A., et al. (2024) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-02-2024-0053 · Cited by 5
Latos, B. A., Buckhorst, A. F., Kalantar, P., Bentler, D., Gabriel, S., Dumitrescu, R., Minge, M., Steinmann, B., & Guhr, N. (2024) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-024-00432-7 · Cited by 8
“…the subjective norm , as a consequence of the caregivers’ expectations and the individual need to fulfill them (Eichner 2021; Venkatesh et al. 2003), the perception of external control (Venkatesh and Bala 2008), facilitating conditions (Kuberkar and Singhal 2020) and support (Igbaria et al. 1997).”
Kaklamanou, D., Nguyen, L., Al‐Abbadey, M., Sangala, N. C., & Lewis, R. J. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000614 · Cited by 8
Mollaei, A., Tabari-Khomeiran, R., Maroufizadeh, S., & Sabet, M. S. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06278-1 · Cited by 6
“Since the behavioral intention to use a technology is directly related to its actual use [26], it needs to be given more attention in order to achieve the desired overall acceptance.”
BackgroundMethodResultInfluentialWaked, H. N., Goyal, S. B., Albdiwy, F. F., et al. (2024) · Journal of Computers Mechanical and Management · doi:10.57159/jcmm.3.4.24137 · Cited by 5
Tian, Y., & Wang, Y. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1456770 · Cited by 5
Skiing quality analysis of recreational skiers based on IMU data and self-assessment
Kranzinger, C., Kranzinger, S., Hollauf, E.-M., et al. (2024) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2024.1495176 · Cited by 5
“Additionally, the questionnaire measures the users ’ behavioural intention to use the Connected Boot in the future, which is a crucial indicator of technology acceptance (33).”
Mamuli, L. C., Mukabi, F. E. K., & Kagucia, C. (2025) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v15-i1/23498 · Cited by 5
“…to which individuals believe that using a particular technology will enhance their job performance, while Perceived Ease of Use refers to the extent to which individuals perceive the technology as being free from effort or complexity (Davis, 1989; Venkatesh & Bala, 2008; Al-Qeisi et al., 2015).”
Remegio, F. M. C., & Asahid-Cheng, R. (2024) · International Conference on Educational Technology (ICET) · doi:10.1109/icet62460.2024.10868886 · Cited by 6
“These constructs have significant predictive power across diverse technologies and user populations, as shown in studies by [12]-[13] and further explored in educational AI technologies [14] – [16].”
Zuidhof, N., Peters, O., Verbeek, P., & Allouch, S. B. (2025) · JMIR Formative Research · doi:10.2196/49610 · Cited by 5
Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis
Nawaz, S. S., & Thelijjagoda, S. (2025) · IEEE Access · doi:10.1109/access.2025.3564339 · Cited by 8
“This result aligns with previous studies [68], [69], [104].”
Hasbullah, N. N., Kiflee, A. K. R., Rahim, H. A., Shahid, F. Z., Anwar, S., & Ramachandran, K. K. (2025) · Discover Sustainability · doi:10.1007/s43621-025-01191-z · Cited by 8
“…have been developed to predict technology adoption and usage, among which six notable models stand out: the Theory of Reasoned Action (TRA) [20], the Technology Acceptance Model (TAM) [21], TAM2 [22], TAM3 [23], the Unified Theory of Acceptance and Use of Technology (UTAUT)[24], and UTAUT2 [17].”
Mikhaeil, C. A., Raman, R., James, T. L., et al. (2025) · Information Systems Frontiers · doi:10.1007/s10796-025-10607-0 · Cited by 5
Self-citationIslam, M. M., Islam, M. M., Islam, M. A., et al. (2025) · International Journal of Islamic and Middle Eastern Finance and Management · doi:10.1108/imefm-04-2024-0206 · Cited by 5
Wang, J., Huang, F., & Teo, T. P. (2025) · PLoS ONE · doi:10.1371/journal.pone.0327205 · Cited by 8
“These include the well-established technology acceptance model (TAM) [9], the unified theory of acceptance and usage of technology (UTAUT) [10], the first-order versus second-order barriers [11] as well as the third-order barriers [12].”
InfluentialFactors associated with the acceptance of telemedicine services in Dusit model prototype area
Benjakul, N., Wongsin, U., Siri, S., & Prutipinyo, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-11193-6 · Cited by 8
“The factors include the perceptions and beliefs of Vajira@Home about telemedicine, incorporating the extended technology acceptance model (TAM) variables 13,14 .”
InfluentialUser Acceptance of Customer Self-Service Portals
Hartmann, L., Kerßenfischer, F., Fritsch, T., et al. (2013) · Journal of Economics Business and Management · doi:10.7763/joebm.2013.v1.33 · Cited by 5
The WISE Future of Home Technology
Leitner, G. (2015) · Computer supported cooperative work · doi:10.1007/978-3-319-23093-1_8 · Cited by 5
Acceptance of Mobile Technology for Citizen Science in Water Resource Management
Minkman, E., Rutten, M. M., & van der Sanden, M. C. A. (2016) · Journal of Irrigation and Drainage Engineering · doi:10.1061/(asce)ir.1943-4774.0001043 · Cited by 5
A knowledge structures exploration on social network sites
Sánchez‐Franco, M. J., Muñoz-Expósito, M., & Ramos, Á. F. V. (2017) · Kybernetes · doi:10.1108/k-01-2016-0013 · Cited by 5
A case study on attitude towards online auction use applying quantile regression analysis
Chen, Y.-C., Chu, H.-C., Wu, J.-Y., Tsembel, N., & Shen, Y. (2017) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2017.1343643 · Cited by 5
“To continue the stream of the studies, Venkatesh and Bala (2008) present TAM3, a full nomological network of the determinants of individuals’ technology adoption and use, by combining TAM2 with the anchoring and adjustment factors of perceived ease of use.”
BackgroundMethodStudents’ Behavioral Intentions Regarding the Future Use of Quantitative Research Methods
Tominc, P., Krajnc, M., Vivod, K., Lynn, M. L., & Frešer, B. (2018) · Our Economy Journal of Contemporary Issues in Economics and Business · doi:10.2478/ngoe-2018-0009 · Cited by 5
“A TAM 3 has also been proposed in the context of e-commerce with an inclu - sion of the effects of trust and perceived risk on system use (Venkatesh & Bala, 2008).”
BackgroundE-Learning Analysis And Design Based On Technology Acceptance Model
Aulawi, H., & Amin, A. S. (2019) · International journal of scientific and technology research · Cited by 5
Technology Integration in Educational Administration
Sezen-Gültekin, G., & Hamutoğlu, N. B. (2020) · Advances in educational marketing, administration, and leadership book series · doi:10.4018/978-1-7998-1408-5.ch007 · Cited by 5
IMPACT OF COMPETITIVE STRATEGY ON BIG DATA ANALYTICS ADOPTION: AN INFORMATION PROCESSING PERSPECTIVE
Weng, W.-H. (2021) · International Journal of Electronic Commerce Studies · doi:10.7903/ijecs.2013 · Cited by 5
“To facilitate this measurement, we followed the guidelines established by Ajzen [65] and adapted items employed by Venkatesh and Bala [66].”
MethodHuman, G., Ferreira, C. C., Robertson, J., & Whiterspoon, M. (2020) · Acta Commercii · doi:10.4102/ac.v20i1.855 · Cited by 6
“The concept gained notable traction in developing technology acceptance models (see, e.g. Venkatesh & Bala 2008; Venkatesh, Davis & Morris 2007) and today it frequents business-to-business studies.”
BackgroundAnalysis of Driver’s Reaction Behavior Using a Persuasion-Based IT Artefact
Gonzalez, J. G., Casado–Mansilla, D., & López–de–Ipiña, D. (2020) · Sustainability · doi:10.3390/su12176857 · Cited by 6
“Attempts have been made to develop several derivations of this model, namely, TAM 2 [32]; TAM 3 [33]; Technology Readiness and Acceptance Model (TRAM) [35,36].”
BackgroundMethodImproving and embedding project management practice: generic or context dependent?
Fernandes, G., & Araújo, M. (2022) · International journal of information systems and project management · doi:10.12821/ijispm070103 · Cited by 5
“International Journal of Information Systems and Project Management, Vol. 7, No. 1, 2019, 47-66 ◄ 51 ► International Journal of Information Systems and Project Management, Vol. 7, No. 1, 2019, 47-66 ◄ 52 ► In summary, the framework for improving and embedding PM practice was developed in four main phases: An ‘initial…”
BackgroundMethodde Oliveira, N. J. S., Procaci, T. B., & Siqueira, S. W. M. (2020) · Revista Brasileira de Informática na Educação · doi:10.5753/rbie.2020.28.0.229 · Cited by 5
Cylwik, S., Gabryelczyk, R., & Chlebuś, M. (2020) · Central European Economic Journal · doi:10.2478/ceej-2020-0017 · Cited by 5
“However, in third edition of the technology acceptance model (TAM 3), the authors defined six determinants that shape the perceived ease-of-use of an innovation (Venkatesh & Bala, 2008).”
BackgroundAl-Nuaimi, M. N. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-64987-6_3 · Cited by 5
Pelsőci, B. L., Nagy, Á. A., & Gáti, M. (2021) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2021.10.02 · Cited by 7
Hilfestellung bei der Entwicklung einer Strategie für Digital Credentials im Bildungswesen
Gottlieb, M., & Pongratz, H. (2021) · Springer eBooks · doi:10.1007/978-3-658-32849-8_19 · Cited by 5
Kamide, H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111412 · Cited by 5
Singh, R. K., & Kushwaha, B. P. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-73885-3_10 · Cited by 7
Siang, W. E. W., & Mohamad, M. B. (2022) · Theory and Practice in Language Studies · doi:10.17507/tpls.1203.17 · Cited by 5
“…researchers had taken necessary measures to validate the items of the questionnaire since the items were adapted from various sources (Al-Maroof et al., 2021; Purwanto & Tannady, 2020; Rahman, Yunus & Hashim, 2019; Teeroovengadum, Heeraman & Jugurnath, 2017; Mikusa, 2015; Venkatesh & Bala, 2008).”
MethodInfluentialIT assimilation: construct, measurement, and implications in cybersecurity
Goel, L., Zhang, Z., & Williamson, S. A. (2022) · Enterprise Information Systems · doi:10.1080/17517575.2022.2052187 · Cited by 6
“While intention highlights the role of conscious decision-making for IT adoption, acceptance, and use (Venkatesh and Bala 2008), habit leads to automatic use and is considered an important antecedent of IS continuance (Limayem and Hirt 2003; Venkatesh, Thong, and Xu 2012).”
BackgroundTowards Truck Platooning Deployment Requirements
Neubauer, M., & Schildorfer, W. (2022) · Lecture notes in intelligent transportation and infrastructure · doi:10.1007/978-3-030-88682-0_3 · Cited by 5
Shin, J., Seo, M., & Lew, Y. K. (2022) · Sustainability · doi:10.3390/su14127457 · Cited by 8
Sartamorn, S., & Oe, H. (2022) · Springer proceedings in business and economics · doi:10.1007/978-3-031-06581-1_16 · Cited by 5
Digitale Technik für ambulante Pflege und Therapie
Weber, K., Haug, S., Lauer, N., Meussling-Sentpali, A., Mohr, C., Pfingsten, A., Raptis, G., & Bahr, G. (2022) · Regensburger Beiträge zur Digitalisierung des Gesundheitswesens · doi:10.1515/9783839462355 · Cited by 6
Horn, B., Albers, E. A., Mitchell, L. L., Jutkowitz, E., Finlay, J., Millenbah, A. N., Seifert, G., Hedin, D. S., Knutson, M., Kramer, K. M., et al. (2022) · Journal of Applied Gerontology · doi:10.1177/07334648221134869 · Cited by 5
“UTAUT and TAM3 discuss how ease of use and anxiety may change over time but not perceived usefulness (Venkatesh et al., 2003; Venkatesh & Bala, 2008).”
BackgroundMethodAyanwale, M. A., Ndlovu, M., & Oladele, J. I. (2022) · Springer eBooks · doi:10.1007/978-3-031-13927-7_5 · Cited by 5
Predicting the secondary school students’ intention to use e-learning technologies
Bahçekapılı, E. (2023) · Research in Learning Technology · doi:10.25304/rlt.v31.2881 · Cited by 18
Haque, M. Z., Qian, A., & Lucky, S. A. (2023) · Journal of Information & Knowledge Management · doi:10.1142/s0219649223500028 · Cited by 5
Vogelsang, C., Caruso, C., Seifert, A., et al. (2023) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/00/2023.03.29.x · Cited by 5
Adopting the technology acceptance model: A Namibian perspective
Bothma, M., & Mostert, L. (2023) · South African journal of information management · doi:10.4102/sajim.v25i1.1624 · Cited by 13
“Various technology acceptance theories and models exist such as the theory of planned behaviour (Ajzen 1991), theory of reasoned action (Fishbein & Azjen 1975), technology acceptance model (TAM) (Davis, Bagozzi & Warshaw 1989), TAM2 (Venkatesh & Davis 2000), unified theory of acceptance and use of technology (UTAUT) (…”
BackgroundPredictors of willingness to participate in survey interviews conducted by live video.
Schober, M. F., Okon, S., Conrad, F. G., Hupp, A. L., Ong, A. R., & Larsen, K. M. (2023) · Technology Mind and Behavior · doi:10.1037/tmb0000100 · Cited by 5
Human Factors in Manufacturing: A Systematic Literature Review
Garofalo, F., & Puangseree, P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35741-1_27 · Cited by 4
Cybersecurity Training Acceptance: A Literature Review
Kävrestad, J., Fallatah, W., & Furnell, S. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-38530-8_5 · Cited by 5
Luarn, P., Chen, C.-C., & Chiu, Y. (2023) · Managing Sport and Leisure · doi:10.1080/23750472.2023.2239250 · Cited by 5
“Perceived playful-ness has been identified as a factor determining whether a game is engaging or not, leading to greater user engagement and stickiness to the game (Venkatesh & Bala, 2008).”
Henrich, M., Formella-Zimmermann, S., Gübert, J., & Dierkes, P. W. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1216318 · Cited by 5
Arlati, S., Mondellini, M., Guanziroli, E., Rossini, M., Martinelli, I., & Molteni, F. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43404-4_30 · Cited by 5
Palshof, M. K., Jeppesen, F. K. H., Thuesen, A. D., Holm, C. S., Brøndum, E., & Kayser, L. (2023) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2023.100121 · Cited by 5
What affects the use of smartphones by the elderly? A hybrid survey from China
Huang, M., Ren, Y., Wang, X., Li, X., & Li, L. (2023) · National Accounting Review · doi:10.3934/nar.2023015 · Cited by 6
Acceptability Assessment of an Executive Function Training Game FISHERMAN for Older Adults
Wang, P., & Li, H. (2023) · Games for Health Journal · doi:10.1089/g4h.2022.0177 · Cited by 5
González-Anta, B., de la Fuente, I. P., Zornoza, A. M., & Orengo, V. (2023) · Sustainability · doi:10.3390/su152115657 · Cited by 7
Kohnke, O., Nieland, T., Straatmann, T., & Mueller, K. (2023) · Journal of Management & Organization · doi:10.1017/jmo.2023.59 · Cited by 5
“Even though scholars called for action in this regard long ago (Venkatesh, 2006; Venkatesh & Bala, 2008), there still is little systematic evidence regarding the impact of specific management interventions on employee digital adoption.”
Exploring the Success Factors of Smart City Adoption via Structural Equation Modeling
Alkdour, T., Almaiah, M. A., Shishakly, R., Lutfi, A., & Alrawad, M. (2023) · Sustainability · doi:10.3390/su152215915 · Cited by 8
“This includes high-speed broadband networks, sensor systems, and IoT (Internet of Things) devices that collect and transmit data [105].”
Defining a user profile for e-government services: The diffusion of innovation perspective
Sandoval‐Almazán, R., Cifuentes‐Faura, J., & Millán-Vargas, A. O. (2023) · Information Development · doi:10.1177/02666669231218213 · Cited by 8
Ahmed, S., Noor, A. S. M., Chen, C., Deng, Y., Mehmood, A., Ahmad, A., Uddin, M., & Reegu, F. A. (2023) · Mitteilungen Klosterneuburg · doi:10.61586/gbgn5 · Cited by 5
Perceived Usefulness, Experience and FinTech Acceptance in Pakistan: An Economic Analysis
Azeem, K., Sheikh, S. M., & Rahman, S. U. (2023) · Pakistan Journal of Humanities and Social Sciences · doi:10.52131/pjhss.2023.1104.0670 · Cited by 5
“These procedures for administration may be useful tools for simplifying the application of information technologies (Venkatesh & Bala, 2008).”
MethodMeng, T., Faizan, A., Baofang, Q., & He, C. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12258-7 · Cited by 9
“Online learners may exhibit higher motivation levels when utilizing platforms resembling their previous technological and interface experiences (Venkatesh & Bala, 2008).”
Salybekova, N. N., Abdimalik, S., Issayev, G., Khalikova, G., Berdenkulova, A. Z., & Bakirova, K. (2023) · Emerging Science Journal · doi:10.28991/esj-2023-07-06-014 · Cited by 5
“TAM3 incorporated both perceived ease of use and perceived usefulness determinants in a unified model [54].”
BackgroundQuynh, N., & Truong, L. (2023) · Edelweiss Applied Science and Technology · doi:10.55214/25768484.v7i2.396 · Cited by 21
“Usage intention is defined as an individual's desired power to perform a behavior [57].”
BackgroundMara, U. T., Wahab, S. R. H. A., Sahri, N. N. M., et al. (2023) · Online Journal for TVET Practitioners · doi:10.30880/ojtp.2023.08.03.006 · Cited by 5
Vashkevich, N., Barykin, S., Krasnov, A. S., et al. (2024) · Journal of Infrastructure Policy and Development · doi:10.24294/jipd.v8i3.3113 · Cited by 5
Factors associated with the adoption of technologies for avocado production systems
Cáceres-Zambrano, J., Ramírez‐Gil, J. G., & Barrios, D. (2023) · Agronomía Colombiana · doi:10.15446/agron.colomb.v41n3.110579 · Cited by 5
“The Technology Acceptance Model (TAM), which incorporates the factors of perceived ease of use (Davis, 1986) in the utilization of technology (Venkatesh & Bala, 2008).”
MethodSu, J., Huang, W., Huang, H.-C., Tseng, Y., & Li, M.-J. (2024) · Digital Health · doi:10.1177/20552076241239244 · Cited by 5
“” Moreover, this study has obtained permission to use the TAM questionnaire from Professor Davis for TAM 48 and Professor Venkatesh for TAM2 49 and TAM3.”
Method
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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