Operationalizing the Essential Role of the Information Technology Artifact in Information Systems Research: Gray Area, Pitfalls, and the Importance of Strategic Ambiguity

MIS Quarterly ◽  
2004 ◽  
Vol 28 (2) ◽  
pp. 149 ◽  
Author(s):  
Whinston ◽  
Geng
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Essential Role ◽  
Strategic Ambiguity ◽  
Gray Area ◽  
Systems Research ◽  
Information Systems Research

Tacit Knowledge and Discourse Analysis

2011 ◽  
pp. 3657-3662
Author(s):  
Michele Zappavigna-Lee ◽  
Jon Patrick
Keyword(s):  
Discourse Analysis ◽  
Information Systems ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Semiotic Analysis ◽  
Dominant Position ◽  
Systems Research ◽  
Information Systems Research ◽  
Subsequent Section

The emphasis in information systems research is typically on converting tacit knowledge into explicit knowledge (Hershel, Nemati, & Steiger, 2001). Attention is also given to setting up a dichotomy of tacit and explicit knowledge in terms of articulation (can it be carried in language?), codification (can it be turned into an artifact?) or judgment (is it objective or subjective?). This article is structured to critique the dominant position in information systems research that tacit knowledge is ineffable. The background section provides an introduction to the extensive interdisciplinary literature on tacit knowledge, providing context for the subsequent section that deconstructs the assumptions that this literature makes about what it means to, in Polanyi’s (1966, p. 4) terms, “know more than we can tell.” To conclude, the role of linguistic and semiotic analysis in realising the growing trend toward theorising “community knowing,” rather than knowledge as an artifact, is suggested in the final sections.

Information Systems Research Relevance

2011 ◽  
pp. 2004-2009 ◽  
Author(s):  
Shirish C. Srivastava ◽  
Thompson S.H. Teo
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Empirical Study ◽  
Information Management ◽  
Management Information Systems ◽  
Is Research ◽  
Systems Research ◽  
Information Systems Research ◽  
Key Issues ◽  
It Executives

Though there have been extended deliberations for making information systems (IS) research more relevant1 and useful for IS executives, to our knowledge, there has been no empirical study which examines the extent of relevance in the current IS research. In this chapter, we analyze the topical relevance of 388 published academic articles in the three top IS journals: MIS Quarterly (MISQ), Information Systems Research (ISR), and Journal of Management Information Systems (JMIS), for a 5 year period from 2000-2004. We do this by examining their fit with the key issues for information technology (IT) executives identified by the latest Society for Information Management (SIM) survey. Based on our results, we make recommendations for making IS research more meaningful for practitioners.

PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research

2019 ◽  
pp. 346-397 ◽  
Author(s):  
Pratyush Nidhi Sharma ◽  
◽  
Marko Sarstedt ◽  
Galit Shmueli ◽  
Kevin H. Kim ◽  
...  
Keyword(s):  
Information Systems ◽  
Model Selection ◽  
Systems Research ◽  
Information Systems Research

Beyond Models of National Culture in Information Systems Research

2011 ◽  
pp. 14-29 ◽  
Author(s):  
Michael D. Myers ◽  
Felix B. Tan
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Cultural Differences ◽  
National Culture ◽  
Research Literature ◽  
Global Organizations ◽  
Is Research ◽  
Systems Research ◽  
Dynamic View ◽  
Information Systems Research

Many IS scholars argue that global organizations need to understand cultural differences if they are to successfully deploy information technology. We agree that an understanding of cultural differences is important, but suggest that the concept of “national culture” that has tended to dominate the IS research literature is too simplistic. In this article, we challenge information systems researchers to go beyond models of national culture. We propose that IS researchers should adopt a more dynamic view of culture – one that sees culture as contested, temporal and emergent.

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