The knowledge management efficacy of matching information systems development methodologies with application characteristics-an experimental study

  • Authors:

  • Peter Meso;Gregory Madey;Marvin D. Troutt;Jens Liegle

  • Affiliations:

  • Department of Computer Information Systems, Georgia State University, J Mack Robinson College of Business, 35 Broad Street, Atlanta, GA 30302, USA;Department of Computer Science and Engineering, Notre Dame University, 350 Fitzpatrick Hall, Notre Dame, IN 46556, USA;Department of Management and Information Systems, Kent State University, 426A Graduate School of Management and College of Business Administration, Kent, OH 44242, USA;Department of Computer Information Systems, Georgia State University, J Mack Robinson College of Business, 35 Broad Street, Atlanta, GA 30302, USA

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2006

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Abstract

An experimental study was conducted to determine whether appropriately matching methodology type to the characteristics of the business application being developed resulted in more effective knowledge-work processes among team members. Specifically, the experiment compared the use of hypermedia systems development methodologies to that of conventional software engineering methodologies in enabling knowledge work processes during the development of hypermedia-intensive business applications. Results obtained indicate that there is value in effectively matching methodologies to application domain. Based on this finding, there is justification in employing strong-typed methodologies for systems design projects particularly in the cases where the application domain is quite specialized. Our results also suggest that Information Technology (IT) studies that assess methodology influences on the resultant Information System (IS) artifact need to include knowledge and/or cognitive elements and their related theories. Since systems development is knowledge intensive, inclusion of cognitive and knowledge aspects provide a more complete model of how methodologies influence the various aspects of the IS artifact.