Using Deep Structure Theory to Visualize Inherent ...

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Limitations of Systems Analysis Tools in Relation to ... Abstract. Problems related to dysfunctional communication and collaboration between business and IT.
Working Papers on Information Systems

ISSN 1535-6078

Using Deep Structure Theory to Visualize Inherent Limitations of Systems Analysis Tools in Relation to Habermassian Communicative Action Duane Truex Georgia State University, USA Steven Alter University of San Francisco, USA Michael Cuellar North Carolina Central University, USA Sumantra Sarkar Georgia State University, USA

Abstract Problems related to dysfunctional communication and collaboration between business and IT professionals have been discussed for decades. This distortion in communication can partially be explained by the Critical Social Theory and Jurgen Habermas' notions of communicative action and Univeral Pragmatics, which differentiate between ideal communication and types of "distorted communication." The present research sees that success in this performative linguistic process of ISD calls for shared understanding and communication between participants to the process, leading to agreement on the meaning of the requirement and its concomitant elements and desired outcomes. This paper shows how the Work Systems method (Alter) can be used to reduce communicative distortion from the requirement gathering process by creating something more akin to Habermassian communicative action. Keywords: Work Systems Method, Critical Social Theory, Communicative Action, Universal Pragmatics Permanent URL: http://sprouts.aisnet.org/10-89 Copyright: Creative Commons Attribution-Noncommercial-No Derivative Works License Reference: Truex, D., Alter, S., Cuellar, M., Sarkar, S. (2010). "Using Deep Structure Theory to Visualize Inherent Limitations of Systems Analysis Tools in Relation to Habermassian Communicative Action ," Proceedings > Proceedings of IFIP 8.2/Organizations and Society in Information Systems (OASIS) . Sprouts: Working Papers on Information Systems, 10(89). http://sprouts.aisnet.org/10-89

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Using Deep Structure Theory to Visualize Inherent Limitations of Systems Analysis Tools in Relation to Habermassian Communicative Action D. Truex, GSU S. Alter, USF M. Cuellar, NCCU S. Sarkar, GSU Problems related to dysfunctional communication and collaboration between business and IT professionals have been discussed for decades. Various empirical observations have been made about communication dysfunction. Beath and Orlkowski's (1994) deconstruction of SA&D methods illustrated how methods tended to privilege technical experts whose control of the discourse often led to distorted requirements. This distortion in communication can partially be explained by Critical Social Theory (Habermas, 1985 a & b), and in particular his notions of communicative action and Univeral Pragmatics, which differentiate between ideal communication and types of ‘distorted communication’. We see that success in this performative linguistic process calls for shared understanding and communication between participants to the process, leading to agreement on the meaning of the requirement and its concomitant elements and desired outcomes. Part of the communications problem relates to variance in understanding between those giving and those receiving the requirements. This perhaps relates to a variance between the users and developers on the understanding of the structures of an information system. The concept of structures is derived from Wand and Weber's (1995) theory of deep structure of IS, which describes them as follows: • surface structure, the interface between the information system and its users' organizational environment. • deep structure, the meaning of the real-world system that the information system is intended to model • physical structure, hardware/software technologies used to implement an information system Inconsistently borrowing Wand and Weber's application of deep structure theory, Table 1 applies the concept of deep structure for identifying limitations of typical systems analysis and design methods, tools, and interactions. Specifically, most of these tools are not designed to engender Habermassian ideal communication. Table 1: Using deep structure theory to compare viewpoints of business professionals and IT technical experts Deep structure Viewpoint of business professionals

Viewpoint of IT technical experts

Work system as a system of doing work to produce products and services for internal and/or external customers Information systems as a configuration of hardware and software

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Surface structure

Physical structure

Information system interface, reports, and queries

Visible details of work activities, tools, and other resources

Information system interface, reports, and queries

Structure of hardware and software configuration, plus

that is used by users

details of technical interfaces, data schemas, etc.

The current research combines Wand and Weber’s notions of deep structure theory with Habermassian ideal communication to explore the current understanding of communication between business and IT professionals. Clarification of issues implied by Table 1 could lead to insights and possibly controversial conclusions. For example, • In contrast to Wand and Weber the deep structure of information systems may be about the work systems they support, not about the information systems per se. • In contrast to typical guidelines concerning systems analysis and design, use cases may not be the best way to capture deep structure that should be the basis of requirements. The work system method (WSM) was developed as a systems analysis method to aid business professionals in their own understanding and to support communication between business and IT professionals. (Alter, 2003, 2006, Truex and Alter, 2010) The premises of WSM include: • The unit of analysis is the work system, not an entire organization. • Even rudimentary understanding of a work system covers customers, products/services, processes and activities, participants, information, technologies, environment, infrastructure, and strategies- e.g., a process oriented view. • Work systems evolve over time through a combination of planned and unplanned change. This paper shows how the WSM can be used to reduce distortion from the requirement gathering process by creating something more akin to Habermassian communicative action. References: Alter, S. 2003. “18 Reasons why IT-Reliant Work Systems Should Replace the IT Artifact as the Core Subject Matter of the IS Field,” Communications of the Association for Information Systems, (12:23), pp. 365-394. Alter, S. 2006. The Work System Method: Connecting People, Processes, and IT for Business Results, Larkspur, CA: Work System Press. Beath, C. and Orlikowski, W. 1994. “The contradictory structure of systems development methodologies: deconstructing the IS-user relationship in information engineering,” Information Systems Research, (5:4), pp. 350-377. Habermas, J. (1985a). The Theory of Communicative Action, Volume One: Reason and the Rationalization of Society (T. McCarthy, Trans. Vol. One): Beacon Press. Habermas, J. (1985b). The Theory of Communicative Action, Volume Two: Lifeworld and System: A Critique of Functionalist Reason (T. McCarthy, Trans. Vol. 2): Beacon Press. Truex, D., Alter, S., and Long, C. 2010. "Systems Analysis for Everyone Else: Empowering Business Professionals through a Systems Analysis Method that Fits their Needs," Proceedings of 18th European Conference on Information Systems, Pretoria, South Africa. Truex & Baskerville, “Deep structure or emergence theory: contrasting theoretical foundations for information systems development” Information Systems Journal, 1998 v 8, 99- 118. Wand, Y. & Weber, R. (1995) On the deep structure of information systems. Information Systems Journal, 5(3), 203-223.

 

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Working Papers on Information Systems | ISSN 1535-6078 Editors: Michel Avital, University of Amsterdam Kevin Crowston, Syracuse University Advisory Board:

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Kalle Lyytinen, Case Western Reserve University Roger Clarke, Australian National University Sue Conger, University of Dallas Marco De Marco, Universita’ Cattolica di Milano Guy Fitzgerald, Brunel University Rudy Hirschheim, Louisiana State University Blake Ives, University of Houston Sirkka Jarvenpaa, University of Texas at Austin John King, University of Michigan Rik Maes, University of Amsterdam Dan Robey, Georgia State University Frantz Rowe, University of Nantes Detmar Straub, Georgia State University Richard T. Watson, University of Georgia Ron Weber, Monash University Kwok Kee Wei, City University of Hong Kong

Margunn Aanestad, University of Oslo Steven Alter, University of San Francisco Egon Berghout, University of Groningen Bo-Christer Bjork, Hanken School of Economics Tony Bryant, Leeds Metropolitan University Erran Carmel, American University Kieran Conboy, National U. of Ireland Galway Jan Damsgaard, Copenhagen Business School Robert Davison, City University of Hong Kong Guido Dedene, Katholieke Universiteit Leuven Alan Dennis, Indiana University Brian Fitzgerald, University of Limerick Ole Hanseth, University of Oslo Ola Henfridsson, Viktoria Institute Sid Huff, Victoria University of Wellington Ard Huizing, University of Amsterdam Lucas Introna, Lancaster University Panos Ipeirotis, New York University Robert Mason, University of Washington John Mooney, Pepperdine University Steve Sawyer, Pennsylvania State University Virpi Tuunainen, Helsinki School of Economics Francesco Virili, Universita' degli Studi di Cassino

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