Understanding determinants of information systems users’ behaviour: a comparison of two models in the context of integrated accounting and budgeting software

This study examines determinants that affect the behaviour of information systems (IS) users, and influence of the users’ decisions to continue using IS by two models: the technology acceptance model (TAM) and the expectation-confirmation model of IS continuance (ECM-IS). The behaviour of professionals who utilise complex software solutions for performing their working tasks has been in the focus of this research. Based on data gathered from questionnaires filled-out by users of the integrated accounting and budgeting software (IABS), the confirmatory factor analysis has shown that both models demonstrate good factor, convergence and discriminatory validity, respectively. The comparison of the obtained results has been performed, and it shows that ECM-IS has a larger explanatory power (R²) over TAM, explaining 49% of the dependent variable (IS continuance intention) in relation to 29%. The IS continuance intention is determined by the users’ satisfaction and perceived usefulness. The user satisfaction is influenced by perceived usefulness and confirmation. The confirmation of the user's expectations has had a positive influence on perceived usefulness. The perceived ease of use has not exerted a significant influence on the user's intention of IS continuance.     

The role of task-technology fit as users’ motivation to continue information system use

In this study, we extend and combine the post-acceptance model (PAM), proposed by Bhattacherjee [Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation–confirmation model. MIS Quarterly, 25(3), 351–370], with aspects of Goodhue and Thomson’s theory of task-technology fit (TTF). The original PAM emphasizes cognitive beliefs and user feelings as factors that may influence a person’s intention to continue to use an information system (IS). The variables added from TTF are task-technology fit and utilization. The sample consists of data that measure use and use-related aspects of an e-learning tool among university college teachers. Using structural equation modeling, results indicate that variables from TTF as well as variables from PAM explain users’ IS continuance intention. As a result of these findings, we propose the existence of two different and autonomous paths from the independent variables to the dependent variable of IS continuance intention. These two paths are: a work system-centric path through utilization of the information system, and an IT-centric path through user satisfaction.     

Online Social Networking Sites Continuance Intention: A Model Comparison Approach

Retaining existing users and letting them continue to use the current social networking sites (SNSs) have become increasingly challenging for developers. This study takes a model comparison approach to investigate this important issue. Based on technology acceptance model, self-determination theory, and net-valence model, our study develops four models that explain individuals’ continuance intention. Based on the data collected from U.S. SNS users, all four models can predict individuals’ intention reasonably well, and net-valence model with perceived benefits and risks as second-order constructs explains the largest amount of variance of SNS continuance intention. This study is among the first model comparison studies in the SNS continuance area. It is also among the first to apply self-determination theory and net-valence model to investigate SNS continuance.     

Toward an Integrated Decision-Making Model for Consumer Electronic

The study proposes an integrated comprehensive consumer decision-making model by extending the customer value, satisfaction, and loyalty framework to include customer experience as an antecedent to creating value and enhancing satisfaction toward technology continuance intention. Our study incorporates perspectives from information systems (IS) and service marketing, where customer value (hedonic and utilitarian) theory and literature on customer experience with perceived ease of use and perceived usefulness as its dimensions are found to be drivers of technology continuance intention for consumer electronics. In addition, partial least squares results from 370 smartphone users indicate that within consumer electronics, price negatively moderates the relationship between utilitarian value and satisfaction but not with hedonic value and satisfaction. Contributions of findings and implications are discussed to provide references for consumer electronic firms in IS and service marketing.     

Assessing the impact of enterprise systems technological characteristics on user continuance behavior: An empirical study in China

Enterprise systems (ES) have changed the way organizations process their information, yet limited research has been conducted to investigate users’ post-adoption perceptions of these sophisticated technologies. Drawing on the IS-continuance theory and the IS success model, this research attempts to fill this gap in the literature by examining the influence of technological characteristics of ES, represented by information and system quality, on users’ satisfaction and perceived usefulness, which in turn, affect continuance intention of ES. Furthermore, this study proposes that both satisfaction and continuance intention influence continuance behavior. A research model was developed and empirically examined with data collected from 275 users of ES in China.     

Exploring continued online service usage behavior: The roles of self-image congruity and regret

The expectation–confirmation model (ECM) of continued information systems (IS) use has proven to be successful across online service contexts. Previous studies based on ECM have focused on a referent (i.e., comparison standard) that is centered on the target IS (i.e., target online service). The effect of this referent, captured through confirmation, has been strongly demonstrated. Yet, few studies have explored the saliency of two additional reference effects, captured through self-image congruity and regret, in online service continuance. To fill this knowledge gap, this paper attempts to develop a research model that extends the ECM perspective in view of the additional contributions of regret and self-image congruity on two post-adoption beliefs (perceived usefulness and perceived enjoyment) and continuance intention. For this extension, we synthesized the extant literature on continued IS use, self-image congruity, and regret. The model was empirically tested within the context of a social network service. Our analysis result shows that self-image congruity plays a key role in forming the two post-adoption beliefs. It is also found that the absolute effect of regret on continuance intention is larger than the effects of other antecedents identified in IS. Overall, this study preliminarily confirms the salience of self-image congruity and regret in online service continuance.     

Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance

A technology or an information system provides value to its users. Technology Acceptance Model (TAM) successfully operationalised such value as the degree that a system can improve users' job performance. The proposed construct, perceived usefulness, has been proved to be the most important factor for technology adoption. However, many scholars have called for further theoretical development to enrich this critical construct but not much effort has been put forward (Bagozzi, R.P., 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8 (4), 244–254; Benbasat, I. and Barki, H., 2007. Quo vadis, TAM? Journal of the Association for Information Systems, 8 (4), 212–218). To respond to this call on deepening the conceptualisation of perceived usefulness, this article argues that system usefulness can be formulated beyond job performance improvement and explores several additional usefulness constructs based on well-established management concepts and human need theory. The information system (IS) use continuance model (Bhattacherjee, A., 2001. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25 (3), 351–370) has been adopted as the theoretical foundation of this study because certain types of system usefulness can be recognised only in a use continuance stage. The empirical results of the research have validated most of the proposed constructs. Significant contributions to research and practice are identified and discussed.     

Understanding information systems continuance: The case of Internet-based learning technologies

Our research model expanded the Bhattacherjee's IS continuance model by adding a moderating effect (IS habit) to IS continuance intention and IS continued usage, postulating direct links between satisfaction and IS continued usage, as well as between prior behavior and IS continued usage. The model was tested with an Internet-based learning technology in a longitudinal setting. Data collected from 505 students were examined using partial least squares analysis. The results presented strong support for the theoretical links of IS continuance model, and for the new moderating effect. Both satisfaction and prior behavior were found to have significant impact on IS continuance. In addition, our findings confirmed the theoretical argument that the strength of intention to predict continuance was weakened by a high level of IS habit.     

Structuration bridging diffusion of innovations and gender relations theories: a case of paradigmatic pluralism in IS research

This paper discusses the adoption of a pluralist theoretical framework – one that is also multiparadigmatic – for conducting and publishing information system (IS) research. The discussion is illustrated by a single case study involving the Australian cotton industry. The theoretical framework is informed by three sociological theories, each with its particular paradigmatic assumptions: structuration theory as a meta‐theory, and diffusion of innovations and gender relations as lower‐level theories from notionally opposing paradigms. Theoretical pluralism helped to produce rich findings, illuminating both the social nature of women farmers' roles, the materiality of the cotton farming context, the characteristics of the decision support systems in use and the recursive way in which human agency and institutional pressures shape each other. Because users of so‐called divergent paradigms often face criticism based on the incommensurability issue, one of the main contributions of this paper is to discuss the value of a pluralist and multiparadigmatic theoretical framework in dealing with complex IS social phenomena.     

Understanding post‐adoption IS usage stages: an empirical assessment of self‐service information systems

Organisations have invested in self‐service information systems (IS) to provide a direct interface for service delivery. Enriching the usage of these systems can provide organisations with immense benefits. However, limited research has been directed towards understanding post‐adoption IS usage behaviour in general and specifically in the context of self‐service IS. This study proposes post‐adoption IS usage behaviour as a broader concept constituting feature level usage of IS, integration of IS in the work system and exploration of new uses of IS. We evaluate how the new conceptualisation can be used to classify users at different stages of self‐service IS usage. Further, we examine user perceptions that differentiate among the users situated at different self‐service IS usage stages. Data were collected in the context of a self‐service Web‐based IS to validate the post‐adoption IS usage constructs and to examine the proposed thesis. The newly developed conceptual structure and measures for post‐adoption IS usage behaviour exhibit strong psychometric properties. The analysis shows three distinct post‐adoption IS usage stages and highlights that usefulness, user‐initiated learning, ease of use, satisfaction and voluntariness of use differentiate users at the different stages of post‐adoption IS usage. The results show that these variables aggregate into value confirmation and learning orientation as two higher‐level concepts. Further, we evaluate the predictive efficacy of the research model in classifying users into different post‐adoption self‐service IS usage stages. Implications are drawn for future research.