We investigate how employees react when confronted with an enterprise system (ES) that does not fit with work processes dictated by local realities. We draw on interview data (n = 31) from a multinational company to reveal how employees devised and coordinated workarounds that were not compliant with corporate IT policy, but enabled the completion of essential activities, thereby creating value for the firm and its customers. The coordination of these workarounds proved essential to their persistence. We discuss both the theoretical implications of our findings regarding workarounds and the practical contributions associated with the idea that non-compliance can be beneficial.

This article describes proposed content of an online toolkit for users of the work system modeling method (WSMM), an extension of the work system method (WSM), which was developed to help business professionals understand IT-reliant systems and collaborate with IT professionals. A summary of work system theory (WST) and WSM provides a background. A two-dimensional design space for modeling methods illustrates WSMM's context. Two limitations of WSMM imply the need for a toolkit that overcomes those limitations. An auto rental example is used to illustrate a series of modeling, analysis, and design modules related to different stakeholder purposes. Most of the modules reflect components of Word documents used as outlines to produce over 700 management briefings, mostly by MBA and Executive MBA students, between 2003 and 2017. A concluding section summarizes the main ideas, explains how the use of different modules based on the work system metaphor flexibly supports systems analysis and design, and identifies challenges for future research.

The lack of an agreed upon definition of information system (IS) is one of many obstacles troubling the academic IS discipline. After listing a number of definitions of IS, this paper defines IS as a special case of work system as defined in Alter (1999a). This definition has many desirable characteristics: it is easy to understand; differentiates IS from information technology (IT); covers totally manual, partially automated, and totally automated ISs; links to a life cycle model that generates many insights about development and implementation problems; provides a simple guideline that helps in interpreting common IS/IT jargon; and has other useful implications related to IS concepts, IS terminology, and the analysis and design of ISs. The paper presents the proposed IS definition and evaluates the definition in terms of simplicity, clarity, scope, systematic power, explanatory power, validity, reliability, and fruitfulness. An Appendix summarizes previously published concepts and two frameworks that flow from the proposed definition and are useful for appreciating many points in the evaluation section.

This paper explores possibilities for cross-fertilization between interpretive approaches and other approaches for performing the initial analysis of an information system as part of an effort to redesign and improve it. The paper presents a hypothetical situation concerning the analysis of a loan approval system in a large bank. It assumes that ethnographers observed three systems analysis projects that applied different approaches in three identical banks. It uses hypothetical accounts of the three analysis efforts to propose likely differences in the process and in the results. These differences illustrate possible opportunities for cross-fertilization that might make each approach more powerful and reliable. The paper concludes that the most likely direction for cross-fertilization is from interpretive approaches to the other approaches. An earlier version of this paper was presented at the First International Workshop on Interpretive Approaches to Information Systems and Computing Research, SIG-IAM, Brunel University, July 25–27, 2002, to motivate discussion about the applications, strengths, and limitations of interpretive approaches and to help in the further development of systems analysis methods.