Anol Bhattacherjee

Bio: Anol Bhattacherjee is an academic researcher from University of South Florida. The author has contributed to research in topics: Empirical research & Information technology. The author has an hindex of 33, co-authored 104 publications receiving 17085 citations. Previous affiliations of Anol Bhattacherjee include University of Colorado Boulder & College of Business Administration.

Understanding information systems continuance: an expectation-confirmation model

Abstract: This paper examines cognitive beliefs and affect influencing one's intention to continue using (continuance) information systems (IS). Expectation-confirmation theory is adapted from the consumer behavior literature and integrated with theoretical and empirical findings from prior IS usage research to theorize a model of IS continuance. Five research hypotheses derived from this model are empirically validated using a field survey of online banking users. The results suggest that users' continuance intention is determined by their satisfaction with IS use and perceived usefulness of continued IS use. User satisfaction, in turn, is influenced by their confirmation of expectation from prior IS use and perceived usefulness. Post-acceptance perceived usefulness is influenced by users' confirmation level. This study draws attention to the substantive differences between acceptance and continuance behaviors, theorizes and validates one of the earliest theoretical models of IS continuance, integrates confirmation and user satisfaction constructs within our current understanding of IS use, conceptualizes and creates an initial scale for measuring IS continuance, and offers an initial explanation for the acceptance-discontinuance anomaly.

Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test

Abstract: User beliefs and attitudes are key perceptions driving information technology usage. These perceptions, however, may change with time as users gain first-hand experience with IT usage, which, in turn, may change their subsequent IT usage behavior. This paper elaborates how users' be liefs and attitudes change during the course of their IT usage, defines emergent constructs driving such change, and proposes a temporal model of belief and attitude change by drawing on expectation-disconfirmation theory and the extant IT usage literature. Student data from two longitudinal studies in end-user computing (computer-based training system usage) and system development (rapid application development software usage) contexts provided empirical support for the hypothesized model, demonstrated its generalizability across technologies and usage contexts, and allowed us to probe context-specific differences. Content analysis of qualitative data validated some of our quantitative results. We report that emergent factors such as disconfirmation and satisfaction are critical to understanding changes in IT users' beliefs and attitudes and recommend that they be included in future process models of IT usage.

Individual Trust in Online Firms: Scale Development and Initial Test

Abstract: The importance of trust as a key facilitator of electronic commerce is increasingly being recognized in academic and practitioner communities. However, empirical research in this area has been beset by conflicting conceptualizations of the trust construct, inadequate attention to its underlying dimensions, causes, and effects, and lack of a validated trust scale. This paper addresses these limitations in part by theoretically conceptualizing and empirically validating a scale to measure individual trust in online firms. The proposed scale taps into three key dimensions of trust: trustee's ability, benevolence, and integrity. An iterative testing and refinement procedure using two field surveys of online retailing and online banking users, leads to a final seven-item trust scale that exhibits adequate levels of reliability, convergent validity, discriminant validity, and nomological validity. It is expected that the scale presented in this paper will assist future empirical research on trust in online entities.

An empirical analysis of the antecedents of electronic commerce service continuance

Abstract: This paper examines key drivers of consumers' intention to continue using business-to-consumer e-commerce services. Multiple theoretical perspectives are synthesized to hypothesize a model of continuance behavior, which is then empirically tested using a field survey of online brokerage (OLB) users. Salient results include: (1) consumers' continuance intention is determined by their satisfaction with initial service use, their perceived usefulness of service use, and the interaction between perceived usefulness and loyalty incentives for service use, and (2) satisfaction and perceived usefulness are both predicted by consumers' confirmation of expectations from initial service use. Implications of these findings for e-commerce firms contemplating customer relationship management (CRM) initiatives are discussed.

Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology

Abstract: This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences--namely, age, gender, and experience--are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model. Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.

Understanding information systems continuance: an expectation-confirmation model

Abstract: This paper examines cognitive beliefs and affect influencing one's intention to continue using (continuance) information systems (IS). Expectation-confirmation theory is adapted from the consumer behavior literature and integrated with theoretical and empirical findings from prior IS usage research to theorize a model of IS continuance. Five research hypotheses derived from this model are empirically validated using a field survey of online banking users. The results suggest that users' continuance intention is determined by their satisfaction with IS use and perceived usefulness of continued IS use. User satisfaction, in turn, is influenced by their confirmation of expectation from prior IS use and perceived usefulness. Post-acceptance perceived usefulness is influenced by users' confirmation level. This study draws attention to the substantive differences between acceptance and continuance behaviors, theorizes and validates one of the earliest theoretical models of IS continuance, integrates confirmation and user satisfaction constructs within our current understanding of IS use, conceptualizes and creates an initial scale for measuring IS continuance, and offers an initial explanation for the acceptance-discontinuance anomaly.

Technology Acceptance Model 3 and a Research Agenda on Interventions

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.