RECONCEPTUALIZING IT USE IN THE POST-ADOPTIVE CONTEXT

The information systems (IS) community has developed many theories, approaches, and models that identify conditions and determinants of successful IT use. However, each model in the IS literature has evolved to address specific aspects and dimensions. This has led to conflicting results concerning the impact of IT use. Consequently, while a rich body of knowledge has emerged, with prominent models such as the Technology Acceptance Model or the IS Success Model, the complexity of defining a suitable multi-dimensional construct for IT use has largely been neglected. In this paper, we develop a new causal model of IT use. Based on Adaptive Structuration Theory, we argue for the multidimensionality of IT use and thoroughly derive its components. Moreover, we introduce two new concepts into studies of successful IT use: functional affordance and symbolic expression. Both establish a relation between the IT system under investigation and its users. In doing so, we provide a novel, synthesized approach for investigating IT use in the context of post-adoptive behaviours and the framework of Adaptive Structuration Theory

EDMS Use in Local E-Government: Extent of Use and Overall Performance Mediated by Routinization and Infusion

This study analyzes the effects of several post-adoption behaviors (extent of use, routinization and infusion) on overall performance in using an Electronic Document Management System (EDMS). Furthermore, we test whether the routinization and infusion variables mediate the influence of the extent of use on overall performance. This research collects data from a survey answered by 2,175 employees (EDMS users) of Portuguese municipalities. The Partial Least Squares technique is applied to test the model. The results showed that routinization is directly predicted by the extent of use, whereas infusion is directly affected by the extent of use and also by routinization. Consequently, such post-adoptive behaviors are interrelated not only in a sequential process, but also in parallel. In addition, overall performance is directly influenced by routinization and infusion. Finally, an indirect effects analysis shows that routinization and infusion mediate the relationship between extent of use and overall performance

Understanding Collaborative Technologies Adoptive and Post-Adoptive Outcomes: a Longitudinal Study

Numerous studies in the Information Systems (IS) domain explain what determines user adoption of collaborative information technology (IT) in the workplace. Few, however, explain what the influences of collaborative IT adoption on behaviors are over time. Partly based on DeLone and McLean (2003), this paper fills this knowledge gap by formulating and testing a model positing that IT adoption (system usage and satisfaction) influences perceived benefits (flow and collaborative performance) and post-adoptive behaviors (trying to innovate and creativity). In order to test the research model, a longitudinal survey has been conducted over a 6 months period of time with actual users of a collaborative platform based on the Google Apps Service in an insurance company. The results show that; as expected, IT adoption do influence perceived benefits, which in turn influence post-adoptive behaviors. This latter influence is mediated by trust. The results are discussed and contributions to theory and practice are emphasized

Adaptive System Use; An Investigation at the System Feature Level

System use has been simply defined and measured. In this research, we investigate the dynamics of system use at the individual level. A new concept called adaptive system use is developed to capture user modifications to their use of system features. A causal model including antecedents of adaptive system use is developed. Three antecedents of adaptive system use are identified. Using a sample of 282 users of MS Office, our study examines the psychometric properties of adaptive system use and confirms the research model. Four types or dimensions of adaptive system use are trying new features, feature substitution, feature combination, and feature repurposing. Triggers are found to be the most important antecedent of adaptive system use. Facilitating conditions also affect adaptive system use significantly. Research and practical implications are offered

Contextual Factors in Post-adoption: Applying the Model of Proactive Work Behavior to the Study of End-User innovation

Research on post-adoption has proliferated and has offered insight into the antecedents that drive post-adoptive usage. Yet, much of such research has focused exclusively on instrumental belief constructs about the technology itself and related abilities and, thus, has not sufficiently examined the organizational context in which post-adoptive usage takes place. Deepening understanding of perceived contextual factors is important to gain a more holistic understanding of the use-process and to account for the fact that organizational structures play an important role in post-adoption. To address this need, this research-in-progress paper introduces the Model of Proactive Work Behavior to IS research, which enables investigating how, why, and for whom such prominent contextual factors as job autonomy drive pertinent post-adoption behaviors, like innovation. The paper hypothesizes that job autonomy increases individual innovation with IT via certain proactive cognitive-motivational states, and it ends with a brief overview of the proposed methodology and expected contributions

Extended Use of Mobile Banking System: The Effects of Switching Cognitive Gears

The proliferation of mobile devices ushers a new era of financial services. Although various users already adopted mobile banking systems, their insufficient utilization of systems become a pressing issue. Encouraging individuals to engage in extended use, that is, applying more available system features to support their financial tasks, is an efficient approach for financial institutions to extract value from customers’ alreadyin-use mobile banking systems. However, a relevant theoretical account for such discretionary post-adoptive usage is still in its infancy. Based on the switching cognitive gears perspective, this study proposes four types of triggers (i.e., new tasks, changes in system environments, other people’s uses, and deliberate initiatives) that will prompt the active cognitive processing of individuals that leads to their extended use of mobile banking systems. We further propose the methodology to operationalize extended use and empirically validate the research model, and then discuss the possible theoretical contributions and practical implications

Understanding the Relationship between Goal-Directed Intentions and Post-Adoptive IT Behaviors: The Moderating Influence of Image Compatibility

Technology adoption and diffusion research has advanced from examining pre-adoption to uncovering salient predictors of individual post-adoptive IT behaviors. Within this new research stream, there is a need to extend understanding of how and why individuals innovate with IT and infuse it in their work life. To that end, this paper suggests that understanding individuals’ motivations for continuing, extending, or adapting their use behaviors is important in order to develop understanding of how technologies become embedded in organizational work processes. Hence, we propose a research model that examines how compatibility between goals and perceptions of likely progress toward those goals influences an individual’s post-adoptive IT use behavior. Assuming the proposed hypotheses are supported, this study will contribute to the literature by shedding light on factors that trigger variations in post-adoptive IT use