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)
plaindirect- 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
hedgedcorrelational- 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
plaindirect- 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
plaindirect- 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
plaincorrelational- 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
plaincorrelational- 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
plaindirect- 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
hedgedconditional- 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
plaincorrelational- 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
hedgeddirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
hedgedconditional- 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
plaindirect- 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
plaindirect- 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.
plainconditional- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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.
plaincorrelational- 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
plainconditional- 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
hedgeddirect- 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
plaindirect- 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
hedgeddirect- 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
plaindirect- 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
hedgedconditional- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
plaindirect- 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
hedgedconditional- 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
plaindirect- 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
hedgedconditional- 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
hedgeddirect- 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
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
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Multiple regression: testing and interpreting interactions
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
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Self-citationIntrinsic and Extrinsic Motivations: Classic Definitions and New Directions
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Structural equation models with unobservable variables and measurement error: Algebra and statistics
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dos Santos, E. A., Moura, I. V., Matos, R. M., et al. (2019) · Revista Gestão & Tecnologia · doi:10.20397/2177-6652/2019.v19i4.1495 · Cited by 2
Motivaciones, creencias y temores en la experiencia del usuario con las TIC
Martínez, H. C. (2019) · Dialnet (Universidad de la Rioja) · Cited by 2
The Factors that Influence Patients' Use of Telecare System in Taiwan
Lai, Y.-H., & Huang, F.-F. (2019) · International Conference on Computational Biology and Bioinformatics (ICCBB) · doi:10.1145/3365966.3365973 · Cited by 2
“Venkatesh and Bala refer to this extension as psychological attachment, containing the influence of social influence processes on user’s behavioral intentions toward using the technology [10].”
BackgroundMethodInfluentialThe Influence of Patents on Purchase Intention Through the Technology Acceptance Model
Chang, Y., Lai, K., Yang, M.-C., et al. (2020) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877020500248 · Cited by 2
Citizens’ Perceptions of Mobile Tax Filing Services
Hlomela, T., & Mawela, T. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-63396-7_17 · Cited by 2
ICT Validation Methodologies for Logistics Management
Cano, J. A., Salazar, F., & Montoya, R. A. G. (2020) · Cited by 2
Wiryanti, K., & Fardinal (2020) · Saudi Journal of Business and Management Studies · doi:10.36348/sjbms.2020.v05i12.004 · Cited by 2
“TAM 3 has also been proposed in the context of e-commerce to include the effects of trust and perceived risk on system use [10].”
BackgroundKaramustafa, K., & Yılmaz, M. (2021) · Journal of Business Research - Turk · doi:10.20491/isarder.2021.1203 · Cited by 3
Technology Acceptance of MS Teams Among University Teachers During COVID-19
Smoliński, P. R., Szóstakowski, M., & Winiarski, J. H. (2022) · Lecture notes in business information processing · doi:10.1007/978-3-030-95947-0_24 · Cited by 2
Empirical study on consumer acceptance of mobile applications in Jakarta Indonesia
Nawangsari, S., Wibowo, E. P., & Budiarto, R. (2017) · International Conference on Informatics and Computing (ICIC) · doi:10.1109/iac.2017.8280592 · Cited by 2
Issues and Challenges in Technology Application in the Asian Tourism Industry
Jayawardena, C., Ahmad, A., & Jaharadak, A. A. (2022) · Springer eBooks · doi:10.1007/978-981-16-2210-6_51 · Cited by 2
Corner-Shopping: Studying Attitudes and Consumer Behavior on the Cornershop App
Yáñez, D., Robín, C. F., & Bohle, F. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05064-0_31 · Cited by 2
CRM as Antecedent of Electronic Retailing and Online Customer Satisfaction
Doe, J. K., & Asamoah, G. K. (2022) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-6684-5386-5.ch008 · Cited by 2
Barriers to Using Mobile Payment Technology
Sahi, A. M., Khalid, H. B., & Abbas, A. F. (2022) · Springer eBooks · doi:10.1007/978-981-19-6509-8_14 · Cited by 2
Lashayo, D. M., & Mhina, J. R. A. (2022) · International Journal of Mobile Devices Wearable Technology and Flexible Electronics · doi:10.4018/ijmdwtfe.311432 · Cited by 2
The attitude construct in IT adoption research – A scientometric analysis
Krönung, J., & Eckhardt, A. (2011) · International Conference on Information Systems · Cited by 2
Factor Analysis of E-commerce Adoption Benefits: A Case of Egyptian Travel Agents
Abou‐Shouk, M. (2011) · Springer eBooks · doi:10.1007/978-3-7091-0503-0_25 · Cited by 2
Hock, Y. M., Molla, A., & Cooper, V. (2012) · ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012 · Cited by 2
Wei, K., Sun, H., & Li, H. (2013) · Pacific Asia Conference on Information Systems · Cited by 2
E-book Adoption in Academic & Research Libraries
Ahmad, P., Brogan, M., & Johnstone, M. (2012) · Australasian Journal of Paramedicine · Cited by 2
de Deus, L. F., & Farias, J. S. (2015) · RAI revista de administração e inovação · doi:10.11606/rai.v12i2.100342 · Cited by 2
“A usabilidade objetiva, por exemplo, é condicionante da adoção de uma tecnologia, assim como a expectativa de resultados que ela trará, a ansiedade percebida (Venkatesh & Bala, 2008) e a abertura à nova experiência (Venkatesh et al., 2014).”
BackgroundResearch Goes Digital: Some Methods, Frameworks, and Issues
Torrisi‐Steele, G., Wang, V. X., Sedivy-Benton, A. L., et al. (2015) · The Reference Librarian · doi:10.1080/02763877.2015.1057467 · Cited by 2
“Since the inception of the original TAM model, there have been a number of extensions to the model including TAM 2 (Venkatesh & Davis, 2000), TAM 3 (Venkatesh & Bala, 2008), and the unified theory of acceptance and use of technology (Venkatesh, Morris, Davis, & Davis, 2003).”
BackgroundMethodFactors behind Resisting Mobile-Banking Adoption: The Case of Tunisian Consumers
Brahim, S. B., & Dridi, M. (2015) · International Journal of Sciences: Basic and Applied Research · Cited by 2
Acceptance of ERP Solutions in Maturity Use Phase
Sternad, S., & Bobek, S. (2012) · International Journal of Productivity Management and Assessment Technologies · doi:10.4018/ijpmat.2012070102 · Cited by 2
School Administration And Management Systems Adoption and Use: TAM Extension
Mokwena, S. (2011) · Journal of the Association for Information Systems · Cited by 2
Patient Experiences of Diabetes eHealth
Gregory, P., Byrne, P., & Gabbay, M. (2014) · International Journal of Sociotechnology and Knowledge Development · doi:10.4018/ijskd.2014010101 · Cited by 2
Schumann, L., & Stock, W. G. (2014) · Information - Wissenschaft & Praxis · doi:10.1515/iwp-2014-0043 · Cited by 2
Heuwing, B., Mandl, T., & Womser‐Hacker, C. (2014) · Information Interaction in Context Symposium (IIiX) · doi:10.1145/2637002.2637033 · Cited by 2
“After the presentation of the scenario was completed, participants answered a survey, including questions regarding the perceived usefulness and the perceived ease of use of the prototype when implemented in their own context of work, using items from the Technology Acceptance Model (TAM) [15].”
MethodCollaboration as a Strategic Service in Government Online Communities
Smith, S., Winchester, D. W., Clegg, S. R., & Pang, V. (2013) · Journal of Change Management · doi:10.1080/14697017.2013.817472 · Cited by 2
“Davis (1989) originally developed the Technology Acceptance Model (TAM), updated by Venkatesh and Bala (2008) to the latest version, TAM3, which allows an individual user to examine how factors influence an individual to accept and use a technology.”
MethodTemporal Aspects of Information Technology Use
Hauck, R. V., Thatcher, S. M. B., & Weisband, S. P. (2010) · International Journal of Information Systems in the Service Sector · doi:10.4018/jisss.2010040101 · Cited by 2
The Use of 1Malaysia Netbook in English Language Learning
Mohamad, N. A., & Razak, N. A. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.02.041 · Cited by 2
“Technology acceptance model (TAM) is generally considered as the most influential and common theory in information systems field and it is the most widely employed model of information technologies adoption and use (Venkatesh and Bala, 2008).”
BackgroundAn approach of secure and fashionable recognition for pervasive face-to-face social communications
Yan, Z., Chen, Y., & Zhang, P. (2012) · IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) · doi:10.1109/wimob.2012.6379176 · Cited by 2
“Our interview was designed based on the TAM model (Technology Acceptance Model) and its extension, which indicates that usefulness, ease of use and playfulness lead to user acceptance [15, 16].”
MethodThe Bipartite Influence of Information Overload on User Resistance to Knowledge Management Systems
Wild, U., Laumer, S., & Kroenke, A. (2012) · Cited by 2
Fatmasari, F., & Ariandi, M. (2014) · Prosiding SNaPP: Sains dan Teknologi · Cited by 2
Reponsive and Open Learning Environments (ROLE): Requirements, Evaluation and Reflection.
Law, E. L., Schmitz, H.-C., Wolpers, M., et al. (2012) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 2
User Acceptance of Panoramic Views as a Technique for Virtual Tour in an Educational Environment
Ariffin, A. H., & Talib, A. Z. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-25453-6_11 · Cited by 2
“Therefore, some researchers extended TAM by including other determinants, such as TAM3 which includes Perceived Enjoyment (PEnjoy) ([21],[22]).”
BackgroundACCEPTANCE OF SOCIAL MEDIA BY ORGANIZATIONAL USERS - TESTING THE IMPACT OF SYSTEM DESIGN FEATURES
Paluch, S., Egbert, D., & Blut, M. (2015) · RWTH Publications (RWTH Aachen) · Cited by 2
Carryover Effects of System-Unrelated Emotions on Adoption of Information Systems
Zhang, S., & Milic, N. (2015) · International Conference on Information Systems · Cited by 2
Scenario Analysis as a Tool for Informing the Design of Behaviour Change Interventions
de Oliveira, L. C. R., Maguire, M. C., Mitchell, V., & May, A. J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20886-2_50 · Cited by 2
“Since this study involved the evaluation of the acceptance of an electronic assistant, the Technology Acceptance Model (TAM) [38] and its developments [39, 40, 41] provided a suitable framework to help in grouping and analysing participants’ responses.”
BackgroundEvaluación de la aceptación de las tecnologías móviles en los estudiantes del grado de maestro
Sánchez‐Prieto, J. C., Migueláñéz, S. O., & García‐Peñalvo, F. J. (2015) · Cited by 2
Yun, Y. (2013) · ProQuest LLC eBooks · doi:10.25335/0z5k-z449 · Cited by 2
Busch, M., Patil, S., Regal, G., Hochleitner, C., Fröhlich, P., & Tscheligi, M. (2015) · Cited by 2
A Study on the Factors Affecting Mobile Commerce User' Post-Adoptive Behavior
Jo, D. H., & Park, J. W. (2015) · Journal of the Korea society of IT services · doi:10.9716/kits.2015.14.3.163 · Cited by 2
“(Davis, 1989; Davis et al., 1989) 과 확장된 기술수용 모델들(TAM2, TAM3)(Ven-katesh and Davis, 2000; Venkatesh and Bala, 2008), 계획된 행동이론(TPB：theory of planned behavior(Ajzen, 1991)은 IS 수용에 영향을 미치는 요인들 간의 인과적 관계를 제시함으로써, IS 수용 과정에 대한 심층적인 이해를 제공하였다(Jasperson et al., 2005; Lin et al., 2005).”
Analysis of the Persuasiveness of User Experience Feedback on a Virtual Learning Environment.
Müller, D., Law, E. L., & Strohmeier, S. (2010) · Cited by 2
The Application of IC Ticketing System in Clinic Fees Payment in Taiwan
Lai, Y.-H. (2016) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-0557-2_5 · Cited by 2
Toward the user-commitment continuum: establishing the importance of realisation
McLeod, A. J., Jr., Simkin, M., & Week, J. M. (2016) · International Journal of Learning Technology · doi:10.1504/ijlt.2016.077521 · Cited by 2
“Researchers often use TAM to investigate behavioural intentions that impact the usability of information technology (Amoako-Gyampah and Salam, 2004; Gumussoy et al., 2007; Venkatesh and Bala, 2008).”
BackgroundMobile Simple Payment Attributes and Intention to Use : Focused on Non-users
Go, C. H., & Han, E. K. (2016) · Korean Society of Hazard Mitigation · doi:10.9798/kosham.2016.16.2.191 · Cited by 2
Modeling Choice between Competing Technologies
Aguirre-Urreta, M. I., & Marakas, G. M. (2014) · Advances in business strategy and competitive advantage book series · doi:10.4018/978-1-4666-4860-9.ch011 · Cited by 2
Antecedents to Individual Adoption of Cloud Computing
Li, Y., & Chang, K. (2014) · Advances in business information systems and analytics book series · doi:10.4018/978-1-4666-6623-8.ch002 · Cited by 2
Testing young business students for technology acceptance and learning performance
Strang, K. D. (2016) · International Journal of Learning Technology · doi:10.1504/ijlt.2016.079036 · Cited by 2
Ssemugabi, S., & de Villiers, R. (2016) · South African Institute of Computer Scientists and Information Technologists · doi:10.1145/2987491.2987527 · Cited by 2
“These were the three versions of the Technology Acceptance Model, namely (TAM) [13], TAM2 [66] and TAM3 [65]; DeLone and McLean Models of IS Success [14, 15]; the second version of the Unified Theory of Acceptance and Use of Technology, namely, UTAUT2 [67]; and SERVQUAL [51], along with relevant ISO standards and othe…”
MethodFacilitating Conditions and Cost in Determining M-Commerce Acceptance in Jordan: Initial Findings
Alnajjar, G. (2016) · Springer proceedings in business and economics · doi:10.1007/978-3-319-43434-6_29 · Cited by 2
Obasuyi, L. O., & Okwilagwe, O. A. (2016) · Journal of Agricultural & Food Information · doi:10.1080/10496505.2016.1256216 · Cited by 2
“Venkatesh and Bala (2008) indicated that computer self-efficacy was a significant factor influencing utilization of different IT in different settings.”
BackgroundMethodResultVisuospatial working memory game and measured memory performances at various ages
Miura, T., Yabu, K.-I., Tanaka, K., Ueda, K., & Ifukube, T. (2016) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2016.7844946 · Cited by 2
“The specialized scale of user acceptance includes the technology acceptance model (TAM) [6]–[8] and the unified theory of acceptance and use of technology (UTAUT) [9].”
BackgroundAz információrendszerek sikere a magyar nagyvállalatoknál. A marketingmenedzser perspektívája
Keszey, T., & Katona, Á. (2016) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2016.12.08 · Cited by 2
A Theory of Viral Growth of Social Networking Sites
Fisher, M. (2013) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 2
Examining consumer adoption and perception of Mobile Money in Ghana
Kang, Z., & Mensah, E. C. (2016) · International Journal of Electronic Finance · doi:10.1504/ijef.2016.10004183 · Cited by 2
Acceptance Behavior of Internet Wealth Management Based on User Risk Perception
Jinzheng, R., & He, S. (2017) · International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) · doi:10.1145/3034950.3034971 · Cited by 2
Raamkumar, A. S., Foo, S. S.-B., & Pang, N. L.-S. (2017) · Journal of Documentation · doi:10.1108/jd-06-2016-0072 · Cited by 2
“The questions for the first two constructs have been adopted from a tested RS user evaluation study (Knijnenburg, Willemsen, Gantner, Soncu, & Newell, 2012) while the last construct has been adopted from the Technology Acceptance Model (TAM) (Venkatesh & Bala, 2008).”
MethodMobile advertising effect: investigating factors affecting the usage of mobile payment
Ho, C.-W., Wang, Y., & Fang, C. H. (2017) · Pressacademia · doi:10.17261/pressacademia.2017.376 · Cited by 2
Onobhayedo, P. (2017) · Journal of Business Theory and Practice · doi:10.22158/jbtp.v5n2p120 · Cited by 2
“…image, job relevance, output quality, result demonstrability) presented in TAM2 have all been demonstrated to impact perceived usefulness (Venkatesh & Davis, 2000; Venkatesh & Bala, 2008), the impact of subjective norm on perceived usefulness seem to be particularly relevant to media planning.”
BackgroundMethodInfluentialRudy, & Cassandra, C. (2016) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech.2016.7930307 · Cited by 2
“Attitude is someone’s belief that behavior leads to certain conditions in good or bad things [18], attitude also related to perceive of usefulness which is a measurement of someone belief that using cloud computing will increase their performance, individuals tend to use an e-commerce when they believe that using e-co…”
BackgroundHuang, F., Teo, T. P., & Zhou, M. (2017) · Springer eBooks · doi:10.1007/978-981-10-4346-8_10 · Cited by 2
Orehovački, T., & Babić, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58509-3_19 · Cited by 2
Proof of Concept Evaluation for an Intelligent Oven
Reid, S. E., Abdulrazak, B., & Alas, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66188-9_14 · Cited by 2
Student Acceptance of Business Process-Experience-based Sand Tables
Dong, X., Zhang, G., & Chu, R. (2017) · International Symposium on Educational Technology · doi:10.1109/iset.2017.36 · Cited by 2
Assessing the Risk of Leveraging Technology in Small Businesses Entering the European Union
Losha, F., Strang, K. D., & Vajjhala, N. R. (2017) · International Journal of Risk and Contingency Management · doi:10.4018/ijrcm.2017100104 · Cited by 2
Raamkumar, A. S., Foo, S. S.-B., & Pang, N. L.-S. (2017) · Aslib Journal of Information Management · doi:10.1108/ajim-01-2017-0020 · Cited by 2
“Similarly, Usefulness is a measure meant to identify whether the output is useful for the user task (Ekstrand et al. 2010; Venkatesh & Bala 2008).”
BackgroundMethodRockmann, R., & Gewald, H. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.488 · Cited by 2
“CSE was measured by 5 items [37, 60] based on the original CSE scale [35].”
MethodKINERJA INDIVIDU SEBAGAI DAMPAK PENERIMAAN TEKNOLOGI: PENDEKATAN MODEL UTAUT
Wicaksono, A. P., Urumsah, D., & Nugroho, G. (2017) · Jurnal Ilmiah Akuntansi · doi:10.23887/jia.v2i1.10157 · Cited by 2
The ACET Information Requirements Reference Model
Labusch, N. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_20 · Cited by 2
Principle-Based Goal-Oriented Requirements Language
Marosin, D., & Ghanavati, S. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_22 · Cited by 2
Steering Transformations with Architecture Principles
Marosin, D., & Ghanavati, S. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_14 · Cited by 2
Transformation Intelligence Capability Catalogue
Abraham, R., Weiss, S., Labusch, N., Aier, S., & Winter, R. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_17 · Cited by 2
Institutionalisation of ACET: Needs and Foundations
Weiss, S. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_12 · Cited by 2
Coherence Management Dashboard for ACET
Wagter, R., & Proper, H. A. (2017) · The enterprise engineering series · doi:10.1007/978-3-319-69584-6_18 · Cited by 2
What Sensory Pedestrian Navigation Aids For The Future?
Montuwy, A., Dommès, A., & Cahour, B. (2018) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3170427.3188492 · Cited by 2
“Acceptability criteria Among all criteria of acceptability and user experience [10], the perceived usefulness, ease of use and ease of learning are the main pragmatic qualities explaining people behavioral intention of use.”
BackgroundKim, J.-J. (2018) · Journal of Industrial Distribution & Business · doi:10.13106/ijidb.2018.vol9.no4.27 · Cited by 2
陈, 芸. (2018) · Advances in Education · doi:10.12677/ae.2018.83042 · Cited by 2
Yan, M. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94373-2_26 · Cited by 2
Waziri, M. D., & Yonah, Z. O. (2014) · Advances in computer science : an international journal · Cited by 2
Assistant MEEGA+: Uma ferramenta de apoio para avaliação de jogos educacionais usando modelo MEEGA+
Ripasy, R., Petri, G., von Wangenheim, C. G., et al. (2018) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/cbie.sbie.2018.615 · Cited by 2
Yuhelmi, Dharma, S., Trianita, M., et al. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i4.9.20622 · Cited by 2
“Venkatesh & Bala (12) developed the TAM model to be TAM3.”
BackgroundFor What It’s Worth: A Multi-industry Survey on Current and Expected Use of Big Data Technologies
Rossi, E., Rubattino, C., & Viscusi, G. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-11395-7_7 · Cited by 3
Motivasi Penggunaan Layanan Internet Banking dan Hubungannya dengan Perbedaan Gender
Sihotang, E. T., & Sekarsari, L. A. (2018) · JURNAL MANAJEMEN DAN KEWIRAUSAHAAN · doi:10.26905/jmdk.v6i2.2331 · Cited by 2
Daeseop, S., & Park, S. (2018) · Korean Society of Hazard Mitigation · doi:10.9798/kosham.2018.18.5.73 · Cited by 2
Factors Influencing Adoption of Information Security in Information Systems Projects
Talla, L. T., & Kamdjoug, J. R. K. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-16184-2_84 · Cited by 2
Consumers' Acceptance Intentions to Use Cashback Systems
Matemba, E. D., Li, G., Maiseli, B. J., & Tladi, P. M. (2018) · International Conference on Software and e-Business (ICSEB) · doi:10.1145/3301761.3301766 · Cited by 2
Analyzing the Prospects and Acceptance of Mobile-Based Marine Debris Tracking
Thanacoody, A., Bekaroo, G., Santokhee, A., et al. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-18240-3_24 · Cited by 2
Examining the Perception and Use of Open Crime Data from a Citizen Perspective
Hung, M. J., & Hsieh, W. A. (2019) · Chinese Public Administration Review · doi:10.22140/cpar.v10i1.192 · Cited by 2
“The first common factor explaining the adoption of a new technology is its usefulness (Davis, 1989; Davis & Venkatesh, 1996; Venkatesh et al., 2003; Venkatesh & Bala, 2008).”
BackgroundMobile Applications to Enhance Versatility of Mobile Learning in Higher Education
Macharia, J. K. N. (2013) · doi:10.20374/186 · Cited by 2
“…the fact that many studies have been done which focus on this important field or briefly discussing the topic, these studies essentially all stress quantitative research methods, and either focus on technology acceptance model (TAM) (Venkatesh, Morris, Davis, & Davis, 2003; Venkatesh & Bala, 2008).”
BackgroundLee, C. K., Yiu, T. W., Lim, W. X., Adeleke, A. Q., & Toh, T.-C. (2019) · KnE Social Sciences · doi:10.18502/kss.v3i22.5057 · Cited by 2
“This heavily relies on organizational management support through helpdesk, and off the job training (Ventakesh & Bala, 2008).”
BackgroundHubl, M. (2019) · IEEE Conference on Business Informatics · doi:10.1109/cbi.2019.00049 · Cited by 2
“system to be useful they will likely use [33], [34] and rely on it.”
BackgroundFJSU: Um Framework para o desenvolvimento de jogos sérios ubíquos
Júnior, G. D. S., & Medina, R. D. (2019) · RENOTE · doi:10.22456/1679-1916.95727 · Cited by 2
Disruptive Technology Adoption in Developing Countries
Budu, J. (2020) · Advances in information quality and management · doi:10.4018/978-1-7998-2610-1.ch003 · Cited by 2
eModeration adoption requirements for secondary school education: a critical literature review
Rajamany, V., van Biljon, J. A., & van Staden, C. J. (2020) · Conference on Information Communications Technology and Society (ICTAS) · doi:10.1109/ictas47918.2020.233979 · Cited by 3
“Various models for instance, TAM, [22; 23; 24], UTAUT [24], TTF [25], a combination of TTF and UTAUT [26] and the HOT-Fit model exist in IS literature.”
BackgroundMethodConsumer Acceptance and Resistance Factors Toward Smart Retail Stores
Attié, E. A., Meyer‐Waarden, L., & Bachié, E. (2020) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-7998-3115-0.ch007 · Cited by 2
Factors Influencing Surgeon Adoption of Technology in the Medical Device Industry
Reynolds, S. (2022) · Digital Archive @ GSU · doi:10.57709/17702268 · Cited by 1
Marangoz, M., & Erboy, N. (2020) · Journal of Business Research - Turk · doi:10.20491/isarder.2020.945 · Cited by 2
Digitalisierung im Krankenhaus: Nutzerakzeptanz als Voraussetzung für digitale Innovationen
Schmidt-Logenthiran, T., & Stephan, M. (2020) · Springer eBooks · doi:10.1007/978-3-658-28643-9_35 · Cited by 2
Metadata
- Authors
- Venkatesh, V., & Bala, H.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Indiana University Bloomington (US)
- Corresponding author
- Venkatesh, Viswanath
- Bala, Hillol
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2008-05
- Volume
- 39
- Issue
- 2
- Pages
- 273-315
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2112042732
- Cited by
- 8,159
- References
- 135
- Citations by year
- 2026: 909 · 2025: 912 · 2024: 780 · 2023: 746 · 2022: 717 · 2021: 645 · 2020: 556 · 2019: 499 · 2018: 396 · 2017: 379 · 2016: 320 · 2015: 324 · 2014: 287 · 2013: 266 · 2012: 186
- FWCI
- 175.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Decision Sciences (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- technology acceptance model, information technology adoption, information technology use, perceived usefulness, perceived ease of use, management interventions, IT implementation, organizational decision-making, nomological network
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-09-30, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-09-30 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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