Computational organization theory is a growing interdisciplinary area centered on the development of organization theory through the use of computational techniques. Research in this area grows out of work in many scientific areas including sociology, psychology, classic organization theory, and distributed artificial intelligence. The research in this area is united by a view of organizations as collections of processes and intelligent adaptive agents that are task oriented, socially situated, and technologically bound. This paper reviews this growing area and discusses both issues involved in the development of models in this area and theoretical issues that are being explored by work in this area. Keywords' simulation, organization theory, organizational learning, social networks, expert systems, computers.
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References
1.
Abelson, R.P.1968. Simulation of social behavior. In vol. 4, Handbook of social psychology, 2d ed., ed. G. Lindzey & E. Aronson.Reading, MA : Addison-Wesley.
2.
Alluisi, E.A.1991. The development of technology for collective training: SimNet, a case history. Human Factors33 (3): 343-62.
3.
Arrow, K.J., & Radner, R.1979. Allocation of resources in large teams. Econometrica47:361-85.
4.
Arthur, W.B.1991. Designing economic agents that act like human agents: A behavioral approach to bounded rationality. American Economic Review Papers and Proceedings81:353-59.
5.
Ashby, W.R.1956. The effect of experience on a determinant system . Behavioral Science1:35-42.
Baligh, H.H., Burton, R.M., & Obel, B.1987. Design of organizational structures: An expert system method. In Economics and artificial intelligence, ed. J. L. Roos.Oxford: Pergamon.
10.
___. 1990. Devising expert systems in organization theory: The organizational consultant. In Organization, management, and expert systems , ed. M. Masuch.Berlin : Walter de Gruyter.
11.
_. 1994. Validating the Organizational Consultant on the Fly. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates .
12.
Beer, S.1964. Cybernetics and management. New York : Wiley.
13.
Beroggi, G.E., & Wallace, W.A.1994. A Decision Logic for Operational Risk Management ." In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates.
14.
Bond, A., & Gasser, L.1988. Readings in distributed artificial intelligence . San Mateo, CA: Kaufmann.
15.
Bonini, C.P.1963. Simulation of information and decision systems in the firm. Englewood Cliffs, NJ: Prentice-Hall .
16.
Brent, E. (forthcoming). Computational sociology: Remventing sociology for the next millennium, Social Science Computer Review.
17.
Burt, R.S.1992. Structural holes: The social structure of competition . Cambridge: Harvard University Press.
Cammarata, S., McArthur, D., & Steeb, R.1983. Strategies of cooperation in distributed problem solving . Proceedings of the 8th International Conference on Artificial Intelligence.
20.
Carley, K.1990. Coordinating for success: Trading information redundancy for task simplicity. Proceedings of the 23d Annual Hawan International Conference on System Sciences.
21.
_. 1991. Designing organizational structures to cope with communication breakdowns : A simulation model. Industrial Crisis Quarterly5:19-57.
_. 1993. Plural-Soar: towards the development of a cognitively motivated theory of organization. Proceedings of the 1993 Coordination Theory and Collaboration Technology Workshops: Symposium Conducted for the National Science Foundation.
24.
Carley, K., Kjaer-Hansen, J., Prietula, M., & Newell, A.1992. Plural-Soar: A prolegomenon to artificial agents and organizational behavior. In Artificial intelligence in organization and management theory, ed. M. Masuch & M. Warglien.Amsterdam : Elsevier Science Publishers.
25.
Carley, K., & Lin, Z. Forthcoming. Organizational designs suited to high performance under stress. IEEE-Systems. Man and Cybernetics.
26.
Carley, K., & Prietula, M.1992. Toward a cognitively motivated theory of organizations . Proceedings of the 1992 Coordination Theory and Collaboration Technology Workshops. Symposium conducted for the National Science Foundation.
27.
_. 1994. ACTS theory: extending the model of bounded rationality . In Computational organization theory, ed. K. Carley & M. Prictula.Hillsdale, NJ: Lawrence Erlbaum Assoc.
28.
Cohen, M.D.1986. Artificial intelligence and the dynamic performance of organizational designs. In Ambiguity and command: Organizational perspectives on military decision making, ed. J. G. March & R. Weissinger-Baylon.Marshfield, MA: Pitman.
29.
Cohen, M.D., March, J.B., & Olsen, J.P.1972. A garbage can model of organizational choice. Administrative Science Quarterly17:1-25.
30.
Corkill, D.1979. Hierarchical planning in a distributed environment . Proceedings of the 6th International Joint Conference on Artificial Intelligence, Tokyo.
31.
Chorafas, D.N.1965. Systems and simulation. New York: Academic Press.
32.
Crecine, J.P.1969. A computer simulation of municipal budgeting. Chicago: Rand McNally.
33.
Crowston, K.1994. Evolving novel organizational forms. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates .
34.
Cyert, R.M., & March, J.G.1963. A behavioral theory of the firm. Englewood Cliffs, NJ: Prentice-Hall.
35.
Davis, R., & Smith, R.G.1983. Negotiation as a metaphor for distributed problem solving . Artificial Intelligence20:63-109.
36.
DeGroot, M.H.1970. Optimal statistical decisions. New York: McGraw-Hill.
37.
_. 1974. Reaching a consensus. Journal of the American Statistical Association69:118-21.
38.
Decker, K.S., & Lesser, V.R.1992. Generalizing the partial global planning algorithm . International Journal of Intelligent and Cooperative Information Systems1:319-46.
39.
____. 1993. Analyzing a quantitative coordination relationship. Group Decision and Negotiation2:195-217.
40.
DiMaggio, P.J.1986. Structural analysis of organizational fields: A blockmodcl approach. Research in Organizational Behavior8:335-70.
41.
DiMaggio, P.J., & Powell, W.W.1983. The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review98:147-60.
42.
Durfee, E.H.1988. Coordination of distributed problem solvers. Boston: Kluwer Academic Publishers.
43.
Dutton, J.M., & Starbuck, W.H.1971. Computer simulation of human behavior. New York: Wiley.
44.
Fayol, H.1949. General and industrial management. Translated by C. Storrs. London: Kegan Paul International .
45.
Forrester, J.W.1961. Industrial dynamics. Cambridge : MIT Press.
46.
___. 1968. Principles of systems. Text and workbook. Cambridge, MA: Wright-Allen Press.
Gasser, L., & Huhns, M. N., eds. 1989. Distributed artificial intelligence , vol. 2. Los Altos, CA: Morgan Kaufmann.
49.
Gasser, L., Hulthage, I., Leverich, B., Lieb, J., & Majchrzak, A.1993. Organizations as complex, dynamic design problems . In Progress in artificial intelligence, ed. M. Filguerias & L. Damas , in Lecture notes in artificial intelligence 727. New York: Springer-Verlag.
50.
Gasser, L., & Majchrzak, A.1992. HITOP-A: Coordination, infrastructure, and enterprise integration. Proceedings of the ist International Conference on Enterprise Integration, HiltonHead,sc. MIT Press.
51.
___. 1994. ACTION integrates manufacturing strategy, design, and planning. In Ergonomics of hybrid automated systems IV, ed. P. Kidd & W. Karwowski.The Netherlands: IOS Press.
52.
Gasser, L., & Toru, I.1991. A dynamic organizational architecture for adaptive problem solving. Proceedings of the 9th National Conference On Artificial Intelligence, 185-90. Anaheim.
53.
Glance, N.S., & Huberman, B.A.1993. The outbreak of cooperation . Journal of Mathematical Sociology17:281-302.
54.
_. 1994a. Dynamics of social dilemmas. Scientific American.
55.
_. 1994b. Social dilemmas and fluid organizations. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates.
56.
Gloves, T., & Ledyard, J.1977. Optimal allocations of public goods: A solution to the free-rider problem. Econometrica45:738-809.
57.
Haberstroh, C.J.1965. Organizational design and systems analysis. In Handbook of organizations, ed. J. March.Chicago: Rand McNally .
58.
Hage, J.1965. An axiomatic theory of organizations. Administrative Science Quarterly10:289-320.
59.
Hanneman, R.1988. Computer-assisted theory building: Modeling dynamic social systems. Beverly Hills, CA: Sage .
60.
Hanneman, R., Collins, R., & Mordit, G.1992. Long-term dynamics of state legitimacy and imperialist capitalism: A simulation of neo-Weberian theory. Riverside, CA. Unpublished paper.
61.
Harrison, J.R., & Carrol, G.R.1991. Keeping the faith: A model of cultural transmission in formal organizations. Administrative Science Quarterly36:552-82.
62.
Heise, D.1978. Computer-assisted analysis of social action. Chapel Hill, NC, Institute for Research in Social Science . Technical report.
63.
___. 1979. Understanding events: Affect and the construction of social action. New York: Cambridge University Press.
64.
_. 1987. Affect control theory: Concepts and models. Journal of Mathematical Sociology13:1-34.
65.
Jin, Y., & Levitt, R.E.1994. i-AGENTS: Modeling organization problem solving in multiagent teams. International Journal of Intelligent Systems in Accounting, Finance and Management.
66.
Judson, D.H.1993. Simulation of social systems: An application of system dynamics modelling to impact analysis of the Oregon Employment Department information network. Proceedings of the 6th Annual Theory and Research on Group Processes Conference, Miami.
67.
Kaufer, D., & Carley, K.1993. Communication at a distance: The effect of print on socio-cultural organization and change. Hillsdale, NJ : Lawrence Erlbaum Associates.
68.
Krackhardt, D.1994. Graph theoretical dimensions of informal organizations . In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates.
69.
Lant, T.L.1994. Computer simulations of organizations as experimental learning systems: Implications for organization theory. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates.
70.
Lant, T.L., & Mezias, S.J.1990. Managing discontinuous change: A simulation study of organizational learning and entrepreneurship. Strategic Management Journal11:147-79.
71.
____. 1992. An organizational learning model of convergence and reorientation . Organization Science3:47-71.
72.
Lawrence, P.R., & Lorsch, J.1967. Organization and environment. Managing differentiation and integration. Boston: Harvard University.
73.
Levitt, R.E., Cohen, G.P., Kunz, J.C., Nass, C.I., Christiansen, T., & Jin, Y.1994. The "Virtual Design" team: Simulating how organization structure and information processing tools affect team performance. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates .
74.
Lin, Z.1994a. Organizational performance. Theory and reality. Ph.D. diss., Carnegie Mellon University.
75.
___. 1994b. A theoretical evaluation of measures of organizational design: Interrelationship and performance predictability. In Computational organization theory, ed. K. Carley & M. Prietula.Hillsdale, NJ: Lawrence Erlbaum Associates.
76.
Lin, Z., & Carley, K. Forthcoming. Proactive or reactive: An analysis of the effect of agent style in accounting, finance, and management. International Journal of Intelligent Systems in Accounting, Finance and Management
77.
Macy, M.W.1990. Learning theory and the logic of critical mass . American Sociological Review55:809-26.
78.
___. 1991. Learning to cooperate: Stochastic and tacit collusion in social exchange. American Journal of Sociology97:808-43.
79.
Majchrzak, A., & Fmley, L. Forthcoming. A practical theory and tool for specifying sociotechnical requirements to achieve organizational effectiveness. In Symbiotic approaches. Work and technology, ed. J. J. Benders, J. De Haan, & D. Bennett.London: Taylor and Francis. Forthcoming.
80.
Majchrzak, A., & Gasser, L.1991. On using artificial intelligence to integrate the design of organizational and process change in U.S. manufacturing. Artificial Intelligence and Society5:321-38.
81.
___. 1992a. Forthcoming. Towards a conceptual framework for specifying manufacturing workgroups congruent with technological change. International Journal of Computer-Integrated Manufacturing5:118-31.
82.
____. 1992b. HITOP-A: A tool to facilitate interdisciplinary manufacturing systems design. International Journal of Human Factors in Manufacturing2:255-76.
83.
Malone, T.W.1987. Modeling coordination in organizations and markets . Management Science33:1317-32.
84.
March, J., & Romelaer, P.1976. Position and presence in the drift of decisions . In Ambiguity and choice in organizations, ed. J. G. March, & J. P. Olsen.Bergen, Norway: Universitetsforlaget .
85.
March, J., & Weissinger-Baylon, R., eds. 1986. Ambiguity and command: Organizational perspectives on military decision making. Boston: Pitman.
86.
March, J., & Olsen, J.P.1976. Ambiguity and choice in organizations. Bergen, Norway: Universitetsforlaget.
87.
March, J., & Simon, H.1958. Organizations. New York: Wiley.
88.
Marschak, J.1955. Elements for a theory of teams. Management Science1:127-37.
89.
Masuch, M.1990. Organization, management and expert systems: Models of automated reasoning. Berlin and New York: Walter de Gruyter.
90.
Masuch, M., & LaPotin, P.1989. Beyond garbage cans: An AI model of organizational choice . Administrative Science Quarterly34:38-67.
91.
Mezias, S.J., & Glynn, M.A.1994. Using computer simulation to understand the management of technology: Applications for theory development. Technology Studies. Forthcoming.
92.
Patrick, S.1974. Complex model variations: The effects of selected parameter changes to simulation outcomes. Paper presented at the ORSA/TIMS workshop on Mathematical and Computational Organization Theory
93.
Perrow, C.1984. Normal accidents: Living with high risk technologies . New York: Basic Books, Inc.
94.
Reuter, Perrin, Mitchell, Benett, & Grimes. 1994. The Training Impact Decisions System (TIDES): A decision-aiding system for personnel utilization and training in U.S. Air Force occupational specialties, Paper presented at the ORSA/TIMS Workshop on Mathematical and Computational Organization Theory
95.
Rogers, W.P., et al. 1986. Report of the Presidential Commission on the Space Shuttle Challenger Accident. Washington, DC: Government Printing Office.
96.
Shrivastava, P.1987. Bhopal: Anatomy of a crisis. Cambridge, MA: Ballinger.
97.
Staw, B.M., Sanderlands, L.E., & Dutton, J.E.1981. Threat-rigidity effects in organizational behavior: A multilevel analysis. Administrative Science Quarterly26:501-24.
98.
Taylor, F.1911. The principles of scientific management. New York: Harper and Row.
99.
Thompson, J.D.1962. Organizations in action. New York: McGraw-Hill.
100.
Tsuchiya, S.1993. Artificial intelligence and organizational learning: How can AI contribute to organizational learning? Working paper.
101.
Weber, M.1922. Bureaucracy. In Max Weber: Essays in sociology , ed. H. Gerth & C. W. Mills.Oxford, England: Oxford University Press.
102.
___. 1968. Economy and society. New York: Bedminster Press.
103.
Wolfe, A.1991. Mind, self, society, and computer: Artificial intelligence and sociology of mind. American Journal of Sociology96:1073-96.
