Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument

Szajna, Bernadette

doi:10.2307/249621

Cited by 307 publications

(188 citation statements)

References 11 publications

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“…Several researchers have replicated Davis's original study to provide empirical evidence supporting the key assertion that there is a relationship between usefulness, ease of use and system use; (4), (5), (6), (7), (8), (9). Later (16) using newly developed scales, demonstrated that perceived usefulness was 50% more influential than ease of use in determining usage.…”

Section: Technology Acceptance Modelsmentioning

confidence: 88%

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The application of technology acceptance and diffusion of innovation models in healthcare informatics

Ward

2013

Health Policy and Technology

105

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Section: Technology Acceptance Modelsmentioning

confidence: 88%

“…Further studies refined the importance of these and place greater emphasis on attitude and social factors on behavioural intention(4), (5), (6), (7), (8), (9). In 2003 a major paper by Venkatesh et al empirically compared eight models.…”

Section: Introductionmentioning

confidence: 99%

The application of technology acceptance and diffusion of innovation models in healthcare informatics

Ward

2013

Health Policy and Technology

105

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“…Most of the studies used common technologies, such as email, v-mail, word processing software and spreadsheets, while others used specific technologies, such as customer dial-up systems (Subramanian, 1994), database management systems (DBMSs) (Szajna, 1994), managerial systems (Venkatesh and Davis, 2000), telemedicine technology (Chau and Hu, 2002) and information retrieval systems (Venkatesh and Morris, 2000).…”

Section: Propositions For Technological Moderatorsmentioning

confidence: 99%

The role of moderating factors in user technology acceptance

Sun

Ping

2006

International Journal of Human-Computer Studies

710

448

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Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended and unified. These models have contributed to our understanding of user technology acceptance factors and their relationships. Yet they have also presented two limitations: the relatively low explanatory power and inconsistent influences of the factors across studies. Several researchers have recently started to examine the potential moderating effects that may overcome these limitations. However, studies in this direction are far from being conclusive. This study attempts to provide a systematic analysis of the explanatory and situational limitations of existing technology acceptance studies. Ten moderating factors are identified and categorized into three groups: organizational factors, technological factors and individual factors. An integrative model is subsequently established, followed by corresponding propositions pertaining to the moderating factors. r

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“…Both perceived usefulness and attitude toward use impact the intention to use the tool, which in turn, impacts actual use. Numerous studies have replicated Davis's (1985) study providing significant empirical evidence for the model (Adams, Nelson, & Todd, 1992;Davis, 1989;Grover & Sengars, 1993;Massey, Cronan, & Hendrickson, 1993;Subramanian, 1994;Szajna, 1994). The model has been used in more than 100 studies to examine technology acceptance in a variety of settings (Chuttur, 2009).…”

Section: Theoretical Backgroundmentioning

confidence: 92%

An Examination of the Characteristics Impacting Collaborative Tool Efficacy: The Uncanny Valley of Collaborative Tools

et al. 2013

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As collaboration among teams that are distributed in time and space is becoming increasingly important, there is a need to understand the efficacy of tools available to support that collaboration. This study employs a combination of the Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model to compare four different technologies used to support the task of collaboratively creating and editing a report. The characteristics of the four technologies operationalize different collaborative processes and quality of the editor enabling the examination of how well each addresses previously identified challenges to electronic collaboration. The study compared the use of MS Word combined with emailing the document among collaborators, Twiki, Google Docs, and Office Live by university students to collaboratively write a research paper. The study measured Task-Technology Fit, Perceived Ease of Use, and Perceived Usefulness of the technologies. The findings suggest that certain technological factors associated with the collaborative tool can impact effective use of the tool. A powerful interface with which the user has some experience is necessary, and support for distributed collaboration can be the distinguishing factor in making a tool an effective collaborative writing and editing technology. Our study suggests that Word/email and Google Docs outperform Twiki and Office Live due to tool experience and superior Task-Technology Fit that may be due to the sophistication of the writing and editing tool, support for collaboration, and the clarity of the collaboration process.We speculate that the surprisingly poor showing for Office Live is due to mixing a familiar editing interface with a collaborative model that is different from students' mental model of collaboration, leading to a phenomenon similar to the 'Uncanny Valley,' which is the experience of many people when interacting with humanoid robots and animations that have very good, but not perfect, realism.

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Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument

Cited by 307 publications

References 11 publications

The application of technology acceptance and diffusion of innovation models in healthcare informatics

The application of technology acceptance and diffusion of innovation models in healthcare informatics

The role of moderating factors in user technology acceptance

An Examination of the Characteristics Impacting Collaborative Tool Efficacy: The Uncanny Valley of Collaborative Tools

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