Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent models, (2) empirically compare the eight models and their extensions, (3) formulate a unified model that integrates elements across the eight models, and (4) empirically validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models explained between 17 percent and 53 percent of the variance in user intentions to use information technology. Next, a unified model, called the Unified Theory of Acceptance and Use of Technology (UTAUT), was formulated, with four core determinants of intention and usage, and up to four moderators of key relationships. UTAUT was then tested using the original data and found to outperform the eight individual models (adjusted R2 of 69 percent). UTAUT was then confirmed with data from two new organizations with similar results (adjusted R2 of 70 percent). UTAUT thus provides a useful tool for managers needing to assess the likelihood of success for new technology introductions and helps them understand the drivers of acceptance in order to proactively design interventions (including training, marketing, etc.) targeted at populations of users that may be less inclined to adopt and use new systems. The paper also makes several recommendations for future research including developing a deeper understanding of the dynamic influences studied here, refining measurement of the core constructs used in UTAUT, and understanding the organizational outcomes associated with new technology use.

User acceptance of information technology: toward a unified view

자연주의적 탐구조사(Naturalistic Inquiry)

A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success. However, the dependent variable in these studies-I/S success-has been an elusive one to define. Different researchers have addressed different aspects of success, making comparisons difficult and the prospect of building a cumulative tradition for I/S research similarly elusive. To organize this diverse research, as well as to present a more integrated view of the concept of I/S success, a comprehensive taxonomy is introduced. This taxonomy posits six major dimensions or categories of I/S success-SYSTEM QUALITY, INFORMATION QUALITY, USE, USER SATISFACTION, INDIVIDUAL IMPACT, and ORGANIZATIONAL IMPACT. Using these dimensions, both conceptual and empirical studies are then reviewed a total of 180 articles are cited and organized according to the dimensions of the taxonomy. Finally, the many aspects of I/S success are drawn together into a descriptive model and its implications for future I/S research are discussed.

Information Systems Success: The Quest for the Dependent Variable

Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms and changes over time. The current work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use. The model proposes control (internal and external--conceptualized as computer self-efficacy and facilitating conditions, respectively), intrinsic motivation (conceptualized as computer playfulness), and emotion (conceptualized as computer anxiety) as anchors that determine early perceptions about the ease of use of a new system. With increasing experience, it is expected that system-specific perceived ease of use, while still anchored to the general beliefs regarding computers and computer use, will adjust to reflect objective usability, perceptions of external control specific to the new system environment, and system-specific perceived enjoyment. The proposed model was tested in three different organizations among 246 employees using three measurements taken over a three-month period. The proposed model was strongly supported at all points of measurement, and explained up to 60% of the variance in system-specific perceived ease of use, which is twice as much as our current understanding. Important theoretical and practical implications of these findings are discussed.

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Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

This paper discusses the role of individuals' beliefs about their abilities to competently use computers (computer self-efficacy) in the determination of computer use. A survey of Canadian managers and professionals was conducted to develop and validate a measure of computer self-efficacy and to assess both its impacts and antecedents. Computer self- efficacy was found to exert a significant influence on individuals' expectations of the outcomes of using computers, their emotional reactions to computers (affect and anxiety), as well as their actual computer use. An individual's self-efficacy and outcome expecta- tions were found to be positively influenced by the encouragement of others in their work group, as well as others' use of computers. Thus, self-efficacy represents an important individual trait, which moderates organizational influences (such as encouragement and support) on an individual's decision to use computers. Understanding self-efficacy, then, is important to the successful implementation of systems in organizations. The existence of a reliable and valid measure of self-efficacy makes assessment possible and should have implications for organizational support, training, and implementation.

https://www.jstor.org/stable/pdfplus/249688.pdf

Computer self-efficacy: development of a measure and initial test

To better explain resistance to information technology implementation, we used a multilevel, longitudinal approach We first assessed extant models of resistance to IT Using semantic analysis, we identified five basic components of resistance: behaviors, object, subject, threats, and initial conditions We further examined extant models to (1) carry out a preliminary specification of the nature of the relationships between these components and (2) refine our understanding of the multilevel nature of the phenomenon Using analytic induction, we examined data from three case studies of clinical information systems implementations in hospital settings, focusing on physicians' resistance behaviors The resulting mixed-determinants model suggests that group resistance behaviors vary during implementation When a system is introduced, users in a group will first assess it in terms of the interplay between its features and individual and/or organizational-level initial conditions They then make projections about the consequences of its use If expected consequences are threatening, resistance behaviors will result During implementation, should some trigger occur to either modify or activate an initial condition involving the balance of power between the group and other user groups, it will also modify the object of resistance, from system to system significance If the relevant initial conditions pertain to the power of the resisting group vis-a-vis the system advocates, the object of resistance will also be modified, from system significance to system advocates Resistance behaviors will follow if threats are perceived from the interaction between the object of resistance and initial conditions We also found that the bottom-up process by which group resistance behaviors emerge from individual behaviors is not the same in early versus late implementation In early implementation, the emergence process is one of compilation, described as a combination of independent, individual behaviors In later stages of implementation, if group level initial conditions have become active, the emergence process is one of composition, described as the convergence of individual behaviors

A multilevel model of resistance to information technology implementation

Despite the introduction and use of a wide variety of system development methods and tools, software projects are still plagued by time and cost overruns, and unmet user requirements. To avoid these problems, it is frequently recommended that the risk associated with a software project be managed. A task that is critical to the proper management of software development risk is the assessment of the risks facing the project. Based on previous research, this paper proposes a definition and a measure of software development risk. Subsequently, data collected in a survey of 120 projects is used to assess the reliability and validity of the instrument.

Toward an assessment of software development risk

https://isiarticles.com/bundles/Article/pre/pdf/12223.pdf

Ideal patterns of strategic alignment and business performance

The contribution of IT to business performance has been studied from two main perspectives: a ‘strategy as positioning perspective,’ which underlines a market power imperative, and a resource-based view perspective, which conceptualizes the enterprise as a ‘bundle of unique resources.’ The objective of the present study is to improve our understanding of the contribution of IT to firm performance in building upon the complementarity between the two perspectives. To do so, a model proposed by [Spanos, Y.E., Lioukas, S. 2001. An examination into the causal logic of rent generation: contrasting Porter's competitive strategy framework and the resource-based perspective. Strategic Management Journal 22(10), 907–934], which comprises both a competitive strategy framework and the resource-based perspective was adapted to reflect the role played by IT. More precisely, the model encapsulates the effects of both IT support for business strategy and IT support for firm assets on firm performance. To test the model, a survey of 96 small- and medium-sized enterprises (SME) was conducted.

/pdf/resource-based-view-and-competitive-strategy-an-integrated-3gefm3832e.pdf

Resource-based view and competitive strategy: An integrated model of the contribution of information technology to firm performance

Drawing both from the IS literature on software project risk management and the contingency research in Organization Theory literature, the present study develops an integrative contingency model of software project risk management. Adopting a profile deviation perspective of fit, the outcome of a software development project (Performance) is hypothesized to be influenced by the fit between the project's risk (Risk Exposure) and how project risk is managed (Risk Management Profile). The research model was tested with longitudinal data obtained from project leaders and key users of 75 software projects. The results support the contingency model proposed and suggest that in order to increase project performance a project's risk management profile needs to vary according to the project's risk exposure. Specifically, high-risk projects were found to call for high information processing capacity approaches in their management. However, the most appropriate management approach was found to depend on the performance criterion used. When meeting project budgets was the performance criterion, successful high-risk projects had high levels of internal integration, as well as high levels of formal planning. When system quality was the performance criterion, successful high-risk projects had high levels of user participation.

https://www.jstor.org/stable/info/40398504

Suzanne Rivard

Papers

A multilevel model of resistance to information technology implementation

Toward an assessment of software development risk

Ideal patterns of strategic alignment and business performance

Resource-based view and competitive strategy: An integrated model of the contribution of information technology to firm performance

An Integrative Contingency Model of Software Project Risk Management