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The Management of Human Resources under Uncertainty and Ambiguity

  • G. C. Cainarca
  • G. Zollo
Part of the Applied Optimization book series (APOP, volume 55)

Abstract

The purpose of this chapter is to illustrate some concepts that can help researchers and scientists in understanding and managing human resources in condition of uncertainty and ambiguity. Usually, discussion about conceptual issues takes two forms: descriptive or normative. In the first case authors describe effective concepts and successful procedures, while in the second case they set down standards and procedures, which researchers and practitioners are advised to follow. Our approach is a step behind standard descriptive or nonnative approaches, as we are concerned with methods that can be constructed on the basis of the understanding of human action in economics organisation. Thus our purpose is the discussion of a set of concepts necessary to construct tools for grasping and managing human action in organisational context. Widening the set of tools which researchers and managers have at hand is a necessary condition to escape from the condition of a man possessing only an hammer, who will view all problems as problems requiring the pounding of nails.

Keywords

Human Resource Natural Language Fuzzy Logic Fuzzy Number Work Force 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibuography

  1. Abelson, P.R. and Blac, J.B. “Introduction”. In Knowledge structure, Galambos, R.P., Abelson, R.P. and Black, J.B., eds., Hillsdale, NJ: Erlhaum, 1986Google Scholar
  2. ACA-American Compensation Association, Raising the bar Using competencies to enhance employee performance,Scottsdale (AZ), ACA, 1996.Google Scholar
  3. Aram, J., Dilemmas of administrative behavior. Englewood Cliffs (NJ): Prentice-Ha11,1976.Google Scholar
  4. Arbnor, I. and Bjerke, B., Methodology for Creating Business Knowledge,Thousand Oalcs: Sage Publications, 1997.Google Scholar
  5. Arendt H., The Human Condition, The University of Chicago, 1958.Google Scholar
  6. Argyris, C. & Schon, D.A., Organizational learning. A theory of action perspective. Reading, MA: Addison-Wesley,1978.Google Scholar
  7. Arrow, K.J., Social Choice and Individual Values, New York: Wiley,1963.Google Scholar
  8. Ashby R.W., An Introduction to Cybernetics, London: Chapman and Hа11,1956.Google Scholar
  9. Atkinson J., “Flexibility: Planning for an Uncertain Future”, Manpower Policy and Practice, 1985, 1, summer.Google Scholar
  10. Atkinson J., “Recent Changes in the Internal Labour Market Structure in the UK”. In Technology and Work: Labour Studies in England, Germany and the Netherlands, W. Buitelaar, ed., Avebury: Aldershot, 1988.Google Scholar
  11. Baas, S.M., Kwakernalc H., “Rating and Ranking of multiple aspect alternative using Fuzzy Sets”, Automatica, 1977;13: 45–58,.Google Scholar
  12. Bahrami, H., “The Emerging Flexible Organization, Perspectives from Silicon Valley”, The California Management Review, 1992: 34, 4 (reprinted in ?nowledge Management and Organizational Design, Myers P.S., ed., BoSton: Butterworth-HeineMann, 1996: 55–75).Google Scholar
  13. Baldwin, J.F., Pilsworth, B.W., “Axiomatic Approach to Implication for Approximate Reasoning with Fuzzy Logic”, Fuzzy Set and Systems,1980 3: 193–219.Google Scholar
  14. Barley, S.R., “Semiotics and the study of occupational and organizational cultures”, Administrative Science Quarterly,1983; 28: 393–413.Google Scholar
  15. Berger, P.L. and Luckman, T., The social construction of reality, а treatise in the sociology of knowledge, New York: Doubleday, 1966.Google Scholar
  16. Boje, D., “The storytelling organization: A study of storytelling performance in an office supply firm”, Administrative Science Quarterly, 1991, 36: 106–126.Google Scholar
  17. Bonazzi G., Dire,Fare, Pensare,Milano: Franco Angeli, 1999.Google Scholar
  18. Bonissone, P.P. “A Fuzzy Set Based Linguistic Approach: Theory and Applications”. In: Approximate Reasoning in Decision Analysis,M.M. Gupta and E. Sanchez, eds., North-Holland, 1982: 329–339,.Google Scholar
  19. Bottiglieri B., “Alle origini di una grande impresa”, in I primi quindici anni della Fiat. Verbali dei Consigli di Amministrazione 1899–1915, Milano: Franco Angeli, 1987.Google Scholar
  20. Boyatzis, R.E., The Competent Manager: A model for Effective Performance,New York: Wiley, 1982.Google Scholar
  21. Braverman H., Labour and Monopoly Capital. The Degradation of Work in the Twentieth Century, Monthly Review Press: New York, 1974.Google Scholar
  22. Burr, W.H., “The Ideal Engineering Education”, Society for the Promotion of Engineering Education Proceedings,1893,1.Google Scholar
  23. Cainarca G.C., Colombo M.G., Mariotti S., Nuove tecnologie ed occupazione, Quaderni della Fondazione Olivetti,1991.Google Scholar
  24. Cainarca G.C., Sgobbi F. (1994), “Ruoli organizzativi e tecnologie computer-based”, Sviluppo & Organizzazione, n°141.Google Scholar
  25. Cameron, K.S & Whetten, D.A., Organizational effectiveness, New York: Academic Press, 1983.Google Scholar
  26. Cameron, K.S., “Domains of organizational effectiveness in colleges and universities”, Academy of Management Journal,1981, 24: 25–47.Google Scholar
  27. Cameron, K.S., “Effectiveness as paradox”, Management Science, 1986, 32: 539553.Google Scholar
  28. Cannavacciuolo, A., Capaldo, G., Ventre, A., Zoilo, G., “Linking the Fuzzy Set Theory to Organizational Routines: a Study in personnel Evaluation in a Large Company”, 2 nd IEEE International Conference on Fuzzy System, S. Francisco (CA), March 28th — April 1st 1993.Google Scholar
  29. Cannavacciuolo, A., Capaldo, G., Michellone, G., Zoilo, G., “Understanding and Managing Organizational Paradox with Fuzzy Logic”, III Congreso SIGEF,Buenos Aires, 10–13 Noviembre, 1996.Google Scholar
  30. Capaldo, G. and Zoilo, G., “Modeling individual knowledge in personnel evaluation process”. In Advances in managerial cognition and organizational information proce sing, Meindl, J.R., Porac, J.F. and Stubbart, C., eds, Greenwich. Jai Press, 1994.Google Scholar
  31. Carlsson B., “Management of Flexible Manufacturing: An International Comparison”, Omega, 1,1992.Google Scholar
  32. Carroll J.S, “Organizational Learning Activities in High-Hazard Industries: the Logics Underlying Self-Analysis”, Journal of Management Studies,1998; 35, 6,.Google Scholar
  33. Chatman, J.A., “Improving Interactional Organizational Research, A Model of Person-Organization Fit”, Academy of Management Review, 1989, 14, 13.Google Scholar
  34. Cholewa, W., “Aggregation of Fuzzy Opinions-an Axiomatic Approach”, Fuzzy Set and Systems, 1985, 17: 249–259.Google Scholar
  35. Choo, C.W., The Knowing Organization, How Organizations Use Information to Construct Meaning, Create Knowledge, and Make Decisions, New York: Oxford University Press, 1998.Google Scholar
  36. Ciborra C., Teams,Market and Systems: Business Innovation and Information Technology,Cambridge: Cambridge University Press, 1993.Google Scholar
  37. Daft, R.L. and Wiginton, J.C, “Language and organization”, Academy of Management Review, 1979, 4: 179–191.Google Scholar
  38. De Liso N., Metcalfe J.S., “Progresso tecnico e sistemi tecnologici: un’analisi economica”, Economia Politica,Gennaio 1997.Google Scholar
  39. Dégot, V., “Le professionel, nouvel acteur dans l’entreprise”, Revue Francaise de Gestion, 1990, Mars-Avril-Mai.Google Scholar
  40. Deiß M., “Toward a Polarization of Skill Structures”, in Technology and Work in German Industry,Altmann N., Köhler C., Meil P., eds., London: Routledge, 1992.Google Scholar
  41. Destouches L., “La medicina alla Ford, 1928”. In I sotto uomini,Celine L.F., ed., Firenze, Shakespeare & Company,1993.Google Scholar
  42. D’Iribarne A., “New Technologies and Qualification Structures: An Approach Based on French Experience”, in Relations Between Technology, Capital and Labour, Proceedings of the first Community Symposium in Social Sciences, Dietrich O., Morley J., eds., 3–4 September 1981.Google Scholar
  43. Dore R., British Factory - Japanese Factory, Berkeley: University of California Press, 1973.Google Scholar
  44. Dubois, D., Koning, J.L. “Social Choice Axioms for Fuzzy Set Aggregation”, Fuzzy Sets and Systems,1991, 45: 257–274.Google Scholar
  45. Dubois, D., Prade, H., Fuzzy Set and Systems; theoty and applications, New York: Academic Press, 1980.Google Scholar
  46. Dubois, D., Prade, H., Testemale, C., “Weighted Fuzzy Pattern Matching”, Fuzzy Set and Systems, 1988: 313–331.Google Scholar
  47. Dubois, D., Frade, H. & Yager, R.R. (Eds.), Readings in fuzzy sets for intelligent sys-tems,San Mateo, CA: Morgan Kaufmann,1993.Google Scholar
  48. Dyckoff, H., Pedrycz, W., “Generalizad means as a model of compensative connec-tives”, Fuzzy Set and Systems,1984, 14: 143–154.Google Scholar
  49. Efstathiou, J., Rajkovic, V., “Multi-attribute Decision Making using a Fuzzy Heuristic Approach”, IEEE Trans. On Systems, Mап and Cybernetics, SMC-9: 326–333.Google Scholar
  50. Filev, D., Yager, R., “On the Issue of Obtaining °WA Operators Weights”, Fuzzy Set and Systems,1998, 94: 157–169.Google Scholar
  51. Fishhoff, B., Slovic, P. & Lichtenstein, S., “Kowing what you want: Measuring labi-le values”. In Decision making,D.E. Bell, H. Raiffa & A. Tversky, eds., Cambridge: Cambridge University Press,1989.Google Scholar
  52. Fletcher, K.E. and Huff, A.S., “Argument mapping”. In Mapping strategic thought, Huff A.S., ed., Chirchester: Wiley, 1990:355–375.Google Scholar
  53. Fung, L.W., Fu, K.S., “An Axiomatic Approach to Rational Decision Making in a Fuzzy Environment”. In Fuzzy Sets and their Applications to Cognitive and Decision Processes, L.A. Zadeh, F. King-Sum, K. Tanakae M. Shimura, ed., New York: Academic Press, 1975.Google Scholar
  54. Galbraith J., Designing Complex Organizations,Addison-Wesley, Reading, Massachusettes, 1973.Google Scholar
  55. Georgescu-Roegen N., The Entropy Law and the Economic Process, Harvard University Press, Cambridge, Mass., 1971.Google Scholar
  56. Gertler M., “The Limits to Flexibility: Comments on the Post-Fordist Vision of Production and its Geography”, Transactions of the Institute of British Geography,1988, 13.Google Scholar
  57. Gil-Aluja, J., The Interactive Management of Human Resources in Uncertainty,Dordrecth: Kluwer, 1997.Google Scholar
  58. Goguen, J.A., “The Logic of Inexact Concepts”, Synthese, 1969;19: 325–373,.Google Scholar
  59. Green, G.M., Pragmatics and natural language understanding, Hillsdale, NJ: Lawrence Erlbaum, 1989.Google Scholar
  60. Hamel, G. and Hеепе, A. (eds), Competence-Based Competition, New York: Wiley, 1994.Google Scholar
  61. Heidegger, M., The Question Concerning Technology and Other Essays, New York: Harper and Row, 1954 (English translation 1977).Google Scholar
  62. Herrera, F., Herrera-Viedma, E.,Verdegay, J.L., “Direct Approach Process in Group Decision Making using Linguistic OWA operators”, Fuzzy Set and Systems,1996, 79: 175–190.Google Scholar
  63. Higgins, E.T. and Rholes, W.S., “Saying is believing, Effects of message modifica-tion on memory and liking for the person described”, Journal of Experimental Social Psychology, 1978, 14: pp. 363–378.Google Scholar
  64. Hirschhorn L., Beyond Mechanization. Work and Technology in a Postindustrial Age, Cambridge, MA: MIT; Press,1984.Google Scholar
  65. Hollard M., Margirier G., Integration des equipements et evolution de l’organisation du travail dans les ateliers,IREP- Developpement, Université des Sciences Sociales de Grenoble, Grenoble, 1987.Google Scholar
  66. Janowitz, M., “Changing Patterns of Organizational Authority: The Military Establishment”, Administrative Science Quarterly,1959; 3: 473–493.Google Scholar
  67. Jones A.H.M., The Roman Economy,Oxford: Basil Blackwell, 1974.Google Scholar
  68. Jones B., Social Problems of Flexible Automation: The British Case,mimeo, Bath: Bath University, 1987.Google Scholar
  69. Kelley M.R., “Programmed Automation and the Skill Question. A Reinterpretation of the Cross-National Evidence”, Human System Management,1986, 6.Google Scholar
  70. Kelley M.R., “Alternative Forms of Work Organisation under Programmable Automation”. In The Transformation of Work?, S. Wood, ed., London:Unwin Hyman, 1989.Google Scholar
  71. Kelley M.R., Brooks H., The State of Computerized Automation in US Manufacturing,Centre for Business and Government, John F. Kennedy School of Government, Harvard University, Cambridge, MA, 1988.Google Scholar
  72. Kenney M., Florida R., “Japan’s Role in a Post-Fordist Age”, Futures, April, 1989.Google Scholar
  73. Kern H., Schumann M., Des Ende der Arbeitsteilung? Rationalisierung in der industriellen Produktion, Verlag Bech’sche, München, 1984.Google Scholar
  74. Klemp, G.O. (Eus.), The Assessment of Occupational Competence. Report to the National Institute of Education, Washington D.C., 1990.Google Scholar
  75. Klir, G.J. and Yuan, B., Fuzzy sets and fuzzy logic, Theory and applications, Upper Saddle River, NJ: Prentice Hall, 1996.Google Scholar
  76. Koike K., “Human Resource Development and Labour-Management Relations”. In Political Economy of Japan,Volume 1, The Domestic Transformation, K.Yamamura e Y. Yasuba, eds., Stanford: Stanford University Press,1987.Google Scholar
  77. Kuhn, T.S., The Structure of Scientific Revolutions,Chicago: The University of Chicago Press, 1962.Google Scholar
  78. Kumazawa M., Yamada J., “Jobs and Skills under the Lifelong Nenko Employment practice”. In The Transformation of Work?,S. Wood, ed., London:Unwin Hyman, 1989.Google Scholar
  79. Landes D.S., The Linbound Prometeus, Cambridge: Cambridge University Press, 1969.Google Scholar
  80. Lawler III, E.D. and Ledford, G.E., “New Approaches to Organizing, Competencies, Capabilities and the Decline of the Bureaucratic Model”. In The Handbook of Organizational Behavior,Cooper, C.L. and Jackson, S.E., eds., Wiley: New York, 1996.Google Scholar
  81. Loasby, B.J., The Organisation of Capabilities, University of Stirling, mimeo,1995.Google Scholar
  82. Lutz B., “The Contradictions of Post-Tayloristic Rationalisation and the Uncertain Future of Industrial Work”, in Technology and Work in German Industry, Altmann N., Köhler C., Meil P., eds., London: Routledge,1992.Google Scholar
  83. March, J.G., “Bounded rationality, ambiguity, and the engineering of choice”, The Bell Journal of Economics,1978; 9: 587–608.Google Scholar
  84. Metcalfe J.S., Technology Strategy in an Evolutionary World, The Honeywell/Sweatt Lecture, Centre for the Development of Technological Leadership, University of Minnesota, 1996, April.Google Scholar
  85. Migliarese P., Romano P., “Strategie di progettazione e organizzazione del lavoro: due casi di realizzazione di impianti innovativi in una grande azienda automobilistica”. In Progettazione delle nuove tecnologie e qualitá del lavoro Ciborra, C., Lanzara G.,eds., Milano: Franco Angeli, 1984.Google Scholar
  86. Mintzberg H., Structure in fives: designing effective organisations, Englewood Cliffs: Prentice Hall, 1983.Google Scholar
  87. Mitleton-Kelly, E., “Organisations as Complex Evolving System”, Warwick and LSE Conference on Organisations as Complex Evolving Systems, Warwick, 4–5 December 1998.Google Scholar
  88. Montero, F.J., “A note on Fung-Fu’s Theorem”, Fuzzy Sets and Systems,1985,17: 259–269.Google Scholar
  89. Morgan, G., Images of Organization, Sage Publications, London,1986.Google Scholar
  90. Morin E., “Le vie della complessità”. In La sfida della complessitit Bocchi G. and Ceruti M., eds., Milano: Feltrinelli,1985.Google Scholar
  91. Myers, P.S., Knowledge Management and Organizational Design, Boston: Butterworth-Heinemann, 1996.Google Scholar
  92. Nelson D., Frederick W Taylor and the Rise of Scientific Management, The Board of Regent of the University of Wisconsin System,1980.Google Scholar
  93. Niedenthal, P.M. & Cantor, N., “Making use of social prototypes: From fuzzy con-cepts to firm decision”, Fuzzy Sets and Systems, 1984;14: 5–27,.Google Scholar
  94. Noble D., Forces of Production: A Social Ifistory of Machine Tool Automation, Knopf, New York, 1984.Google Scholar
  95. Nonaka, I. and Takeuchi, H., The Knowledge-creating Company, New York: Oxfod University Press, 1995.Google Scholar
  96. Orlikowski W.J., “The Duality of Technology: Rethinking the Concept of Technology in Organisations”, Organisation Science,1991.Google Scholar
  97. Ovchinnikov, S., “Social choice and Luckasiewicz logic”, Fuzzy Set and Systems, 1991; 45: 275–293.Google Scholar
  98. Peters, T.J. and Waterman, R.H., In Search of Excellence, New York: Harper & Row, 1982.Google Scholar
  99. Piaget, J., Le construction du reel chez l’enfant Neuchatel,Delachaux and Niestlé, 1962.Google Scholar
  100. Pinch T.J., Bijker W.E., “The Social Construction of Facts and Artefacts”. In The Social Construction of Technological Systems, Bijker W.E., Hughes T.P., Pinch T.J., eds., Cambridge, MA: MIT Press, 1987.Google Scholar
  101. Pinchot, G. and Pinchot, E., “The Rise and Fall of Bureaucracy”. In The End of Bureaucracy and the Rise of Intelligent Organizations, Pinchot, G. and Pinchot, E., San Francisco: Berret-Koehler Publishers, Inc., 1993. (Reprinted in Myers, P.S. (ed. by), Knowledge Management and Organizational Design, Boston, Butterworth-Heinemann, 1996: 39–53).Google Scholar
  102. Piore M.J. and Sabel C.F., The Second Industrial Divide. Possibilities for Prosperity,New York: Basic Books, 1984.Google Scholar
  103. Polanyi K., The Great Transformation, New York: Holt, Rinehart & Winston, 1944. Polanyi, M., The Tacit Dimension,Paris: Gallimard, 1986.Google Scholar
  104. Polkinghorne, D., Methodologies for the Human Sciences: Systems of Inquiry, Albany: State University of New York Press, 1983.Google Scholar
  105. Pondy, L.R. & Mitroff, I.., “Beyond open system models of organization”, Research in Organizational Behavior,1979; 1: 3–39,.Google Scholar
  106. Poole, M.S. & Van de Ven, A., “Using paradox to build management and organization theories”, Academy of Management Review,1989; 14: 562–578.Google Scholar
  107. Prahalad, C.K. and Hamel, G., “The Core Competence of the Corporation”, Harvard Business Review, 1990; 68, 3:79–93.Google Scholar
  108. Quinn, R. E., Beyond rational management, San Francisco: Jossey-Bass, 1988.Google Scholar
  109. Quinn, R.E. and Cameron, K.S., “Organizational life cycles and shifting criteria and effectiveness”, Management Science, 1983; 9:33–51.Google Scholar
  110. Revelli M., “Introduzione a `Lo spirito Toyota”. In, Lo spirito Toyota, Ohno T., Torino: Einaudi, 1993.Google Scholar
  111. Rohrbaugh, J., “Operationalizing the competing values approach”, Public Productivity Review,1981, 5:141–159.Google Scholar
  112. Russell, B., “Vagueness”, The Australian Journal of Psycology and Philosophy,1923, June: 84–92.Google Scholar
  113. Saaty, T.L., “Exploring the Interface between Hierarchies, Multiple Objectives and Fuzzy Sets”, Fuzzy Set and Systems,1978, 1: 57–68.Google Scholar
  114. Sainsbury, R.M., Paradoxes,Cambridge: Cambridge University Press, 1988.Google Scholar
  115. Sanchez, R., Heene, A., and Thomas, H. (eds), Dynamics of Competence-Based Competition, Theory and Practice in the New Strategic Management,Oxford: Pergamon, 1996.Google Scholar
  116. Sauer D., Deiß M., Döhl V., Bieber D., Altmann N., “Systemic Rationalisation and Inter-Company Divisions of Labour”. In Technology and Work in German Industry, Altmann N., Köhler C., Meil P.,eds., London: Routledge, 1992.Google Scholar
  117. Schank, R.C., Explanation patterns, Understanding mechanically and creatively, Hillsdale (NJ): Lawrence Erlbaum, 1986.Google Scholar
  118. Schein, E.H., “Coming to a new awareness of organizational culture”, Sloan Management Review, 1984, 12: 3–16.Google Scholar
  119. Schonberger R.J., “Frugal Automation”, Harvard Business Review, 1987, September-October.Google Scholar
  120. Senge, P.M., The Fifth Discipline: The Art and Practice of the Leaning Organization, New York: Doubleday Currency, 1990.Google Scholar
  121. Sengerberger W., “Vocational Training, Job Structures and the Labour Market - An International Perspective”. In Technology and Work in German Industry, Altmann N., Köhler C., Meil P., eds., London: Routledge, 1992.Google Scholar
  122. Shaiken H., Herzenberg S., Kuhn S., “The Work Process under More Flexible Production”, Industrial Relations, 1986; 25, 2.Google Scholar
  123. Smith, K.K. & Berg, D.N., Paradoxes of group life, San Francisco: Jossey-Bass, 1987.Google Scholar
  124. Spencer, L.M. and Spencer, S.M., Competence at Work Models for Superior Performance, New York: Wiley, 1993.Google Scholar
  125. Stacey, R.D., Strategic management and organizational dynamics, London: Pitman, 1993.Google Scholar
  126. Strawson, P.E., Introduction to logical theory. London: Methuen & Co, 1952.Google Scholar
  127. Taylor, Frederick W., “The Principles of Scientific Management”, 1911. In Scientific Management, Harper & Brothers, 1947.Google Scholar
  128. Tombak M.M., De Meyer, “Flexibility and FMS: An Empirical Analysis”, IEEE Transactions and Engineering Management,1988, 35.Google Scholar
  129. Toulmin, S.E., The uses of argument, Cambridge: Cambridge University Press, 1958.Google Scholar
  130. Toulmin, S.E., Rieke, R. and Janik, A., An introduction to reasoning, New York: MacMillan, 1979.Google Scholar
  131. Vaillant, G.E., Adaptation to Life. How the Best and the Brightest Came of Age, Boston, Little Brown 1977.Google Scholar
  132. Van de Ven, A., “In Search of Excellence, Lessons from America’s Best Run Companies”, Administrative Science Quarterly,1983; 28, 4: 621–624.Google Scholar
  133. Van de Ven, A.H.& Poole, M.S., “Paradoxical requirements for a theory of organizational change”. In Paradox and transformation, R.E Quinn. & K.S. Cameron, eds., Cambridge MA: Ballinger, 1988.Google Scholar
  134. von Foester, H.., Observing systems. Seaside: Intersystems Publications, 1982.Google Scholar
  135. von Foerster H., “Cibernetica ed epistemologia: storia e prospettiva”, in La sfida della complessità, Rocchi G. and Ceruti M., eds., Milano: Feltrinelli,1985.Google Scholar
  136. Von Krogh, G. and Roos, J. (eds), Managing Knowledge, Perspectives on Cooperation and Competition, London: Sage, 1996.Google Scholar
  137. Wagner, W., “A fuzzy model of concept representation in memory”, Fuzzy Sets and Systems,1981; 6: 11–26.Google Scholar
  138. Walker R., “Machinery, Labour and Location”. In The Transformation of Work?, S. Wood, ed., London: Unwin Hyman,, 1989.Google Scholar
  139. Walsh, J.P. & Ungson, G.R., “Organizational memory”, Academy of Management Review,1991;16: 57–91.Google Scholar
  140. Weber, M., Wirtschaft und Gesellschaft, Tubingen: Mohr, 1922Google Scholar
  141. Weick, K.E., “Enactment processes in organizations”. In New directions in organi- zational behavior, B.M. Staw & G.R. Salancik, eds., Chicago: St. Clair Press, 1977.Google Scholar
  142. Weick, K.E. The social psychology of organizing (2nd ed), Reading MA: Addison-Wesley, 1979.Google Scholar
  143. Weick, K.E., “Jazz Improvisation”, Organization Science, 1998, 9, 5, September-October.Google Scholar
  144. Wilkinson B., The Shop floor Politics of New Technology, Heinemann: London, 1983.Google Scholar
  145. Wood S. (ed.), The Transformation of Work?, London: Unwin Hyman, 1989.Google Scholar
  146. Yager, R.R., “Fuzzy Decision Making Including Unequal Objectives”, Fuzzy Set and Systems,1978, 1: 87–95.Google Scholar
  147. Yager, R.R., Ovchinnikov, S., Tong, R.M. and Nguyen, H.T. (Eds.), Fuzzy Sets and Applications,Selected Papers by L.A. Zadeh, New York: Wiley, 1987.Google Scholar
  148. Yager, R.R., “On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking”, IEEE Transactions on Systems, Mап and Cybernetics,1988; 18,1: 183–191.Google Scholar
  149. Yager, R.R., “Connet,tives and Quantifiers in Fuzzy Set”, Fuzzy Set and Systems,1991; 40: 39–76.Google Scholar
  150. Zadeh, L.A., “Fuzzy sets”, Information and Control, 1965; 8: 338–353.Google Scholar
  151. Zadeh, L.A., “Outline of a new approach to the analysis of complex systems and decision process”, IEEE Trans. Systems, Mап, and Cybenetics, SСM-3, 1973: 28–44,.Google Scholar
  152. Zadeh, L., “A Fuzzy-Algorithmic Approach to the Definition of Complex or Imprecise Concepts”,. Int. Journal of Man-Machine Studies,1976; 8: 249–291.Google Scholar
  153. Zadeh, L.A., “Fuzzy sets as a basis fot a theory of possibility”, Fuzzy Sets and Systems, 1978;1: 3–28,.Google Scholar
  154. Zadeh, L.A., “PRUF-A Meaning representation language for natural languages”. In Fuzzy reasoning and its applications, E.H. Mamdani & G.R. Gaines, eds., London: Academic Press, 1981.Google Scholar
  155. Zadeh, L.A., “Fuzzy logic = Computing with words”, IEEE Trans. on Fuzzy Systems, 1996; 4: 103–111.Google Scholar
  156. Zimmermann, H.J., ZySno, P., “Latent Connectives in Human Decision Making”, Fuzzy set and Systems,1980; 4: 37–51.Google Scholar
  157. Zoilo, G., Cannavacciuolo, A., Capaldo, G., Ventre, A., and Volpe, A, “The Organizational Evaluation Process, a Fuzzy Model”, Fuzzy Economic Review, 1996; 1,1: 3–30.Google Scholar
  158. Zollo, G., Iandoli, L., Cannavacciuolo, A., “The performance Requirements Analysis with Fuzzy Logic”, Fuzzy Economic Review,1999; 4, 1: 35–69.Google Scholar
  159. Zuboff S., In the Age of the Smart Machine,New York: Basic Books, 1988.Google Scholar

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© Kluwer Academic Publishers 2001

Authors and Affiliations

  • G. C. Cainarca
  • G. Zollo

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