The Surprising Effect of Technological Uncertainty on User Innovation: Uncertainty Can Increase Innovation by Generating Eustress

This research idea explores the role of eustress as a mediator between technological uncertainty and user innovation. Based on theories of uncertainty reduction, it develops a competitive mediation model hypothesizing that the relationship between technological uncertainty and user innovation that is generally negative becomes positive when eustress is considered as a mediator. It also indicates that the attention performance of users moderates the positive indirect effect of technological uncertainty through eustress on user innovation such that this indirect effect is greater for higher levels of attention performance. A method for testing the model is suggested, and potential contributions are discussed

Understanding exploratory use of ERP systems

One way for organizations to move from superficial to more comprehensive usage is to get users to go beyond the basic capabilities of the system and to uncover new ways of using it, either on their own or with the help of others, i.e., through exploratory use. This study focuses on ERP systems as an example of complex IT. Building on the Theory of Planned Behavior (TPB), sets of salient behavioral, normative, and control beliefs are identified as determinants of the intention to explore

UNDERSTANDING POST-ADOPTIVE USAGE BEHAVIORS: A Two-Dimensional View

Recent information systems (IS) publications reveal an emerging interest in studying post-adoptive system use behaviors. Compared to the well-established research stream of IS adoption and initial usage, understanding of IS use behaviors after initial implementation stage is still at its early stage. To further develop knowledge about this phenomenon, this study reviews the IS implementation stage model and a variety of post-adoptive usage concepts in extant literature. These usage concepts are classified into three types and are mapped against their corresponding implementation stages. A two dimensional view of these use concepts is then proposed as an alternative perspective to understand these post-adoptive behaviors. Implications are also discussed at the end of this paper

Understanding Post-Adoptive Usage Behaviors: A Two-Dimensional View

Recent information systems (IS) publications reveal an emerging interest in studying postadoptive system use behaviors. Compared to the well-established research stream of IS adoption and initial usage, understanding of IS use behaviors after initial implementation stage is still at its early stage. To further develop knowledge about this phenomenon, this study reviews the IS implementation stage model and a variety of post-adoptive usage concepts in extant literature. These usage concepts are classified into three types and are mapped against their corresponding implementation stages. A two dimensional view of these use concepts is then proposed as an alternative perspective to understand these post-adoptive behaviors. Implications are also discussed at the end of this paper

Three Types of IT Use

Existing research identifies multiple types of uses, ranging from initial adoption of technology to uses that have been described by terms like adaptive system use, enhanced use, etc. Additionally, literature shows that researchers have used different instruments when using similar terms. Together, the lack of understanding of different types of use and the lack of coherent measures for use leads to construct validity problems. In this paper we aim to distinguish between the different types of uses, followed by isolating the key measurement items for each use type. The paper uses a modified Q-sort method to classify the different use measurement items. Findings indicate that there are three types of uses and distinct measurements. This study lays important groundwork for future research into the three types of use and is a first step in creating scales for these use constructs

FINTECH IT INNOVATION SUCCESS DRIVERS

Innovation is vital to firm competitiveness. Increasingly, innovations from fintech startups are impacting their financial services neighbors. As additional capital flows into the fintech sector, leaders are making initial and continuing investment decisions on the projects in their innovation portfolio. The literature indicates insufficient research is available to help predict innovation success and how digital options (i.e., digital process reach and richness, and digital knowledge reach and richness) impact successful innovation. This paper theorizes that innovation success is positively related to entrepreneurial mindset and mediated by digital options. The R&D laboratory as a system and digital options theories are integrated to provide the theoretical context for this research

The Affect Effect: State Affect, Cognitions and IT Usage

This study presents state affect as a necessary theoretical and empirical component of information systems (IS) research models addressing the cognitions regarding, and usage of, information technology (IT). We position state affect as a powerful predictor of trusting cognitions and explain how state affect may also directly impact IT use. We tested our research model using data from 376 users of Microsoft Excel. Results indicate that positive and negative affect influence various trusting cognitions as well as directly impact post-adoptive use intentions. Our findings offer particular implications IS research models intending to comprehensively model cognitions and attitudes regarding IT and IT usage

A Design Theory for Knowledge Transfer in Business Intelligence

Information Systems (IS) have often been the mechanism by which Knowledge Transfer (KT) has beenaccomplished within organizations. However, in the case of Business Intelligence (BI) it is also often the source or theknowledge required to be transferred. While the IS profession has effectively studied explicit knowledge, the conversion oftacit to explicit knowledge (Champika et al. 2009; Parent et al. 2007; Swee 2002) or knowledge creation (Nambisan et al.1999; Nonaka 1994) a gap remains in regards to knowledge adoption and application of transferred tacit knowledge. Thispaper will contribute a design theory to support future research for KT in BI