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. DIRECT AND INDIRECT USE OF INFORMATION SYSTEMS
"... L’utilisation directe et indirecte des systèmes d’information dans les organisations: une investigation empirique de l’usage d’un système dans un hôpital public ..."
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L’utilisation directe et indirecte des systèmes d’information dans les organisations: une investigation empirique de l’usage d’un système dans un hôpital public
Québec (Québec)
, 2004
"... Past findings about system usage and individual performance have been inconsistent. With a meta-analysis, this paper proposes that this relationship is generally positive. Moderators of the relationship are also identified. It is found that a multidimensional measurement of both system usage and ind ..."
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Past findings about system usage and individual performance have been inconsistent. With a meta-analysis, this paper proposes that this relationship is generally positive. Moderators of the relationship are also identified. It is found that a multidimensional measurement of both system usage and individual performance leads to an increased effect size. The effect size is also stronger for self-reported measures of system usage in contrast to system monitored measures.
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"... This paper maps current IS research published in major North American IS journals onto a proposed framework of IS research. The results indicate that researchers ’ efforts have mainly focused on two areas: investigating the impact and acceptance of IT. Advocates of a core of IS research have caution ..."
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This paper maps current IS research published in major North American IS journals onto a proposed framework of IS research. The results indicate that researchers ’ efforts have mainly focused on two areas: investigating the impact and acceptance of IT. Advocates of a core of IS research have cautioned about a lack of legitimacy, specifically the “cognitive legitimacy ” (Benbasat and Zmud, 2003), of the IS field and have even questioned the survival of the field (Agarwal and Lucas, 2005), raising questions as to what should constitute IS research – its boundaries, and the discipline’s core. Some authors maintain that IS researchers have avoided studying the core of the IS discipline, the IT artifact, and should focus their efforts in theorizing and studying the artifact as the phenomenon of interest in IS research (Orlikowski and Iacono, 2001; Benbasat and Zmud, 2003). However, other researchers reject the idea of an identity crisis in IS, noting that the field’s strength stems from its diversity of interests, and that researchers should study what is relevant and pertinent to IS practice (Lyytinen and King, 2004; Robey, 1996; DeSanctis, 2003). Thus, what constitutes IS research and what researchers should be studying is at the heart of the debate. Most scholars would agree that the IS discipline can be defined as the study and investigation of IS that are supported by IT-based technologies (Orlikowski and Barley, 2001; Benbasat and Zmud, 2003) in terms of how these IT are designed, developed and used, as well as their impact within an organizational context (Orlikowski and Iacono, 2001; Benbasat and Zmud, 2003; Lyytinen and King, 2004). Some authors have proposed that investigating phenomena that are idiosyncratic and unique to the nature of the IT artifact, and the study of organizing and managing IT services should also be considered IS scholarship (Agarwal and Lucas, 2005; Orlikowski and Barley, 2001). However, despite numerous efforts to define the IS discipline, the debate as to what should be considered IS scholarship – variables of inclusion and exclusion – continues to be contested by IS researchers (Benbasat and Zmud, 2003;
The Influence of User Involvement and Personal Innovativeness on User Behavior
"... Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence ..."
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Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence such behaviors, namely User Involvement (UI) and Personal Innovativeness in IT (PIIT). We conduct a field study to examine how these factors influence postadoption behavior and how they are interrelated. Building on theoretical premises and prior empirical findings, we propose and test two alternative models of the relationship between these factors. Our results reveal that the best explanation of post-adoption behavior is provided by the model where UI and PIIT independently influence post-adoption behavior. Our findings have important implications for research and practice. To that end, we offer directions for future research. Keywords—User involvement, personal innovativeness in IT, use of systems, user support, post-adoption behavior. I.
The Influence of User Involvement and Personal Innovativeness on User Behavior
"... Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence ..."
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Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence such behaviors, namely User Involvement (UI) and Personal Innovativeness in IT (PIIT). We conduct a field study to examine how these factors influence postadoption behavior and how they are interrelated. Building on theoretical premises and prior empirical findings, we propose and test two alternative models of the relationship between these factors. Our results reveal that the best explanation of post-adoption behavior is provided by the model where UI and PIIT independently influence post-adoption behavior. Our findings have important implications for research and practice. To that end, we offer directions for future research. Keywords—User involvement, personal innovativeness in IT, use of systems, user support, post-adoption behavior. I.
Journal of the Association for Information Systems Abstract Research Article The Adoption and Use of IT Artifacts: A New Interaction-Centric Model for the Study of User- Artifact Relationships
"... The question of why a user adopts an information technology (IT) artifact has received ample research attention in the past few decades. Although recent adoption research has focused on investigating some of the relational and experiential aspects associated with adopting and using IT artifacts, the ..."
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The question of why a user adopts an information technology (IT) artifact has received ample research attention in the past few decades. Although recent adoption research has focused on investigating some of the relational and experiential aspects associated with adopting and using IT artifacts, the theories utilized have been static in nature. Furthermore, many have been based on traditional models like TAM and TPB, which focus on the utilitarian benefits that users accrue from their interactions with IT artifacts. Independently, recent research has paid much-needed attention to factors surrounding the use of IT artifacts. In this paper, we offer an overview of a theoretical model that connects these two interrelated processes. Starting with a survey of concepts related to social interactions, we present an argument in support of viewing IT artifacts as social actors, whose characteristics are manifested within the context of interactions. The proposed interaction-centric model highlights how the characteristics of an IT artifact, together with the user’s internal system and other structuring factors, affect users ’ choices in terms of how to utilize the artifact. The nature of that utilization, subsequently, affects the beliefs users form about the artifact and the outcomes from using it. Furthermore, the model proposes that users will also form beliefs about their bond or relationship with the IT artifact. These beliefs do not refer to observations made in a single interaction, but rather concern users ’ mental representations of past interactions and outcomes. To facilitate the study of the relationship that develops from user-artifact interactions over time, the model describes how past interactions affect future ones. Specifically, it proposes that deciding how to utilize an IT artifact in subsequent interaction, consistent with theories of relationship development, is
The Influence of User Involvement and Personal Innovativeness on User Behavior
"... Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence ..."
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Abstract—The search for factors that influence user behavior has remained an important theme for both the academic and practitioner Information Systems Communities. In this paper we examine relevant user behaviors in the phase after adoption and investigate two factors that are expected to influence such behaviors, namely User Involvement (UI) and Personal Innovativeness in IT (PIIT). We conduct a field study to examine how these factors influence postadoption behavior and how they are interrelated. Building on theoretical premises and prior empirical findings, we propose and test two alternative models of the relationship between these factors. Our results reveal that the best explanation of post-adoption behavior is provided by the model where UI and PIIT independently influence post-adoption behavior. Our findings have important implications for research and practice. To that end, we offer directions for future research. Keywords—User involvement, personal innovativeness in IT, use of systems, user support, post-adoption behavior. I.
