scholarly journals The Qualitative Difference in Information Systems Research and Practice

Author(s):  
M. L. Markus
2021 ◽  
pp. 355-368
Author(s):  
Ralf Abraham ◽  
Stefan Bischoff ◽  
Johannes Epple ◽  
Nils Labusch ◽  
Simon Weiss

Author(s):  
Boris Wyssusek ◽  
Martin Schwartz

Contemporary understanding of information systems (IS) is flawed by fundamental problems in information systems research and practice. In this chapter, we claim that philosophical presuppositions have a great influence on our understanding of IS. Reflecting on the modernism-postmodernism debate and its methodological consequences for IS research, we derive the need for a paradigmatic foundation of IS research. Referring to Kuhn’s concept of “paradigm,” we develop a framework for the conceptualization of “paradigms of inquiry.” We use the notion of “model,” which we believe to be pivotal for the understanding of IS, to illustrate the implications of the adoption of a “paradigm of inquiry.” In response to a criticism of both the positivist and the radical-constructivist paradigms, we develop a paradigm called “sociopragmatic constructivism” (SPC). Presupposing that human inquiry relies on social contextualization, common practice and cultural history, we propose an agenda for upcoming IS research grounded in SPC.


Author(s):  
Carla Wilkin

An enduring question in information systems research and practice concerns evaluation of the impact of information systems (IS). It endures, as to date there is no ready solution. Focusing on one aspect, measuring IS success or effectiveness, there are ranges of measures available. At one end of the scale we have perceptual measures like use and user satisfaction; somewhere along that scale we have the more objective measures like quality; whilst at the other end we have objective measures like increased market share, price recovery and increased product quality.


Author(s):  
Atul Mitra ◽  
Rex Karsten ◽  
Dennis Schmidt

Computer Self-Efficacy (CSE) has been an important construct in information systems research for more than two decades. The authors review a recent study that meta-analyzed 102 empirical CSE studies and quantitatively affirmed significant correlations with 7 variables of frequent research interest, as well as several potential moderators of these CSE-correlate relationships. This chapter discusses the relationship between CSE and the technology acceptance model, and the authors suggest that the CSE construct merits continued research and practitioner attention for a variety of reasons. The findings also yield managerial and organizational implications and suggestions for future CSE research and practice.


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