Studying Information Technology in Organizations: Research Approaches and Assumptions

TLDR: It is suggested that much can be gained if a plurality of research perspectives is effectively employed to investigate information systems phenomena and that there exist other philosophical assumptions that can inform studies of the relationships between information technology, people, and organizations.

Abstract: We examined 155 behavioral information systems research articles published from 1983-1988and found that while this research is not rooted in a single overarching theoretical perspective itdoes exhibit a single set of philosophical assumptions about the nature of valid evidence andthe phenomena of interest to information systems researchers. We argue in this paper that thesephilosophical assumptions draw on the natural science tradition, and hence may not always beappropriate for inquiry into the relationships between information technology and people or organizations. In particular, we suggest that the development and use of information technologywithin organizations is inherently processual and contextual, and that these characteristics are notalways adequately captured by the philosophical assumptions prevalent in information systemsresearch. Positing social process as central to information systems phenomena asserts theimportance of studying the ongoing interactions among people, information technology andorganizations, as these are situated historically and contextually.We argue in this paper that the dominant research perspective in information systems research isnot well-equipped to deal with situated interactions over time, and propose additional researchphilosophies to augment the one currently favored by behavioral information systemsresearchers. We outline the features of such additional research perspectives, the interpretive andthe critical, providing empirical examples to illustrate how and when they may be useful. Weconclude that multiple research perspectives can usefully be employed within the informationsystems community to enrich understanding of behavioral information systems phenomena.