This paper describes the study of the distribution and integration of knowledge in a small control system development project called the Automation System for Agricultural Implements (AGRIX). The activity of integrating socially distributed knowledge is called knowledge networking. We distinguish between three modes of knowledge networking — modular, integral and translational — and argue that the project team's task-specific selection of a knowledge networking mode depends on the nature of the problem to be solved. We propose that groups tend to select different kinds of knowledge networking strategies, depending on whether the problem is perceived as well- or ill-defined. We found that the AGRIX team worked with well-defined problems in modular and translational ways, while treating ill-defined problems with integral knowledge networking. We also observed that, in the absence of major constraints, the networking mode co-evolved dynamically with the problem structure, even though the organizational core of the project remained unchanged. This suggests that our proposal is plausible and should be investigated more systematically.
Bechtel, William & Adele A. Abrahamsen (1991) Connectionism and the Mind: An Introduction to Parallel Processing in Networks ( Oxford: Blackwell).
2.
Beck, Kent (1999) `Embracing Change with Extreme Programming', IEEE Computer32(10): 70—77.
3.
Bruun, Henrik, Richard Langlais & Nina Janasik (2005) `Knowledge Networking: A Conceptual Framework and Typology', VEST: Journal forScience and Technology Studies18(3/4): 73—104.
4.
Bruun, Henrik & Aino Toppinen (2004) `Knowledge in Science and Innovation: A Review of Three Discourses on the Institutional and Cognitive Foundations of Knowledge Production', Issues in IntegrativeStudies22: 1—51.
5.
Buschmann, Frank (1996) Pattern-oriented Software Architecture: A System of Patterns (Chichester & New York: Wiley).
6.
Chesbrough, Henry (2003) Open Innovation: The New Imperative for Creating and Profiting from Technology (Boston, MA: Harvard Business School Press).
7.
Collins, H.M. (1990) Artificial Experts: Social Knowledge and Intelligent Machines (Cambridge, MA, & London: MIT Press).
8.
Collins, H.M. & Martin Kusch (1999) The Shape of Actions: What Humans and Machines Can Do (Cambridge, MA, and London : MIT Press).
9.
D'Adderio, Luciana (2001) `Crafting the Virtual Prototype: How Firms Integrate Knowledge and Capabilities Across Organisational Boundaries', ResearchPolicy30: 1409—24.
10.
Diehl, Michael & Wolfgang Stroebe (1987) `Productivity Loss in Brainstorming Groups: Towards the Solution of a Riddle', Journal of Personality and Social Psychology53(3): 497—509.
11.
Douglass, Bruce Powel (2004) Real-time UML: Advances in the UML for Real-time Systems (Boston, MA: Addison-Wesley ).
12.
Dreyfus, Hubert L. (1972) What Computers Can't Do: A Critique of Artificial Reason (New York: Harper & Row ).
13.
Fowler, Martin & Kendall Scott (1997) UML Distilled: Applying the Standard Object Modeling Language (Reading, MA: Addison Wesley Longman).
14.
Gamma, Erich (1995) Design Patterns: Elements of Reusable Object-Oriented Software (Reading, MA: Addison-Wesley ).
15.
Garud, Raghu, Arun Kumaraswamy & Richard Langlois (2003) Managing in the Modular Age: Architectures, Networks, and Organizations (Malden, MA : Blackwell).
16.
Gibbons, Michael, Camille Limoges,Helga Nowotny, Simon Schwartzman,Peter Scott & Martin Trow (1994) The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies ( London: Sage Publications).
17.
Harvey, Lynda J. & Michael D. Myers (2002) `Scholarship and Practice: The Contribution of Ethnographic Research Methods to Bridging the Gap', in M.D. Myers & D. Avison (eds), Qualitative Research in Information Systems (London: Sage Publications): 169—80.
18.
Highsmith, Jim & Alistair Cockburn (2001) `Agile Software Development: The Business of Innovation', IEEE Computer34(9): 120—27.
19.
Hughes, Thomas P. (1998) Rescuing Prometheus: Four Monumental Projects that Changed the Modern World (New York: Vintage).
20.
Hull, Elizabeth, Ken Jackson & Jeremy Dick (2002) Requirements Engineering (London & New York: Springer).
21.
Hutchins, Edwin (1995a) Cognition in the Wild (Cambridge, MA: MIT Press).
22.
Hutchins, Edwin (1995b) `How a Cockpit Remembers its Speeds', Cognitive Science19: 265—88.
23.
Iansiti, Marco, (1998) Technology Integration: Making Critical Choices in a Dynamic World (Boston, MA: Harvard Business School Press).
24.
Introna, Lucas D & Edgar A. Whitley (1997) `Against Method-ism: Exploring the Limits of Method', Information Technology &People10(1): 31—45.
25.
Jacobson, Ivar, Grady Booch & James Rumbaugh (1999) The Unified Software Development Process (Reading, MA: Addison-Wesley ).
26.
Kennedy, James F., Russell C. Eberhart & Yuhui Shi (2001) Swarm Intelligence (San Francisco, CA: Morgan Kaufmann Publishers ).
27.
Klein, Julie Thompson (1996) Crossing Boundaries: Knowledge, Disciplinarities, and Interdisciplinarities (Charlottesville, VA, & London: University Press of Virginia ).
28.
Kvale, Steinar (1996) Interviews: An Introduction to Qualitative Research Interviewing (Thousand Oaks, CA: Sage Publications).
29.
Langlais, Richard, Nina Janasik & Henrik Bruun (2004) `Managing Knowledge Network Processes in the Commercialization of Science: Two Probiotica Discovery Processes in Finland and Sweden', Science Studies17(1): 34—56.
30.
March, James G. (1991) `Exploration and Exploitation in Organizational Learning', Organization Science2(1): 71—87.
31.
Mathiassen, Lars (2002) `Collaborative Practice Research', Information Technology and People15(4): 321—45.
32.
McKay, Judy and Peter Marshall (2001) `The Dual Imperatives of Action Research', Information Technology and People14(1): 46—59.
33.
Mumford, Enid (2001) `Advice for an Action Researcher', Information Technology and People14(1): 12—27.
34.
Nandhakumar, Joe & David E. Avison (1999) `The Fiction of Methodological Development: A Field Study of Information Systems Development', Information Technology and People12(2): 176—91.
35.
Newell, Allen & Herbert A. Simon (1972) Human Problem Solving (Englewood Cliffs, NJ: Prentice Hall).
36.
Nonaka, Ikujiro & Hirotaka Takeuchi (1995) The Knowledge Creating Company (New York: Oxford University Press ).
37.
öhman, Matti, Timo Oksanen, Mikko Miettinen & Arto Visala (2004) `Remote Maintenance of Agricultural Machines', in the 1st IFAC Symposium on Telematics Applications In Automation and Robotics (Espoo, Finland): 149—54.
38.
Oksanen, Timo, Matti öhman, Mikko Miettinen & Arto Visala (2004) `Open Configurable Automation System for Precision Farming', in ASAE Conference on Automation Technology for Off-road Equipment (October 7—8, Kyoto, Japan).
39.
Orlikowski, Wanda, (2002) `Case Tools as Organizational Change. Investigating Incremental and Radical Changes in Systems Development', in M.D. Myers & D. Avison (eds), Qualitative Research in Information Systems (London: Sage Publications): 181—221.
40.
Paulk, Mark C., Charles V. WeberBill Curtis & Mary Beth Chrissis (1993) The Capability Maturity Model: Guidelines for Improving the Software Process ( Upper Saddle River, NJ: Addison Wesley).
41.
Rossini, Frederick A. & Alan L. Porter (1979) `Frameworks for Integrating Interdisciplinary Research', ResearchPolicy8(1): 70—79.
42.
Sommerville, Ian (2004) Software Engineering (Harlow , Essex, & New York: Pearson/Addison-Wesley).
43.
Star, Susan Leigh & James R. Griesemer (1989) `Institutional Ecology, “Translations” and Boundary Objects: Amateurs and Professionals in Berkley's Museum of Vertebrate Zoology, 1907—39', Social Studies of Science19: 387—420.
44.
Suchman, Lucy (1987) Plans and Situated Actions: The Problem of Human—Machine Communication (Cambridge & New York: Cambridge University Press).
45.
Ulrich, Karl (1995) `The Role of Product Architecture in the Manufacturing Firm', ResearchPolicy24: 419—40.
46.
VanLehn, Kurt (1989) `Problem Solving and Cognitive Skill Acquisition ', in Foundations of Cognitive Science ( Cambridge, MA, & London: MIT Press): 527—70.
