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Warianty tytułu
Języki publikacji
Abstrakty
This study analyzes the interplay between the characteristics of business strategy implementations and their interaction with different types of knowledge in the manufacturing enterprise. It is based on a survey and data obtained from 119 Polish manufacturing enterprises. This study is innovative in applying the Group Method of Data Handling to the business context. This article develops a framework of achieving the strategy’s goals in terms of the types of knowledge acquisition in a manufacturing company, and further discusses the research results.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
137--148
Opis fizyczny
Bibliogr. 25 poz., wykr.
Twórcy
autor
- University of Zielona Góra, Institute of Computer Science and Production Managemen
Bibliografia
- [1] Bhatt, G., Gupta, J.N.D. and Kitchens, F. (2005) ‘An exploratory study of groupware use in the knowledge management process’, Journal of Enterprise Information Management, vol. 18 (1/2), pp. 28–46.
- [2] Bolman, L. and Deal, T. (2003) Reframing organizations: Artistry, choice and leadership. San Francisco: Jossey-Bass.
- [3] Borghoff U.M. and Pareschi R. (1997) ‘Information technology for knowledge management’, Journal of Universal Computer Science, vol. 3 (8), pp. 835–842.
- [4] Cockburn, I. and Henderson, R. (1998) ‘Absorptive capacity, coauthoring behavior, and the organization of research in drug discovery’, The Journal of Industrial Economics, vol. 46 (2), pp. 157–183.
- [5] Cotora, L. (2007) ‘Managing and Measuring the Intangibles to Tangibles Value Flows and Conversion Process: Romanian Space Agency case study’, Measuring Business Excellence, vol. 11(1), pp. 53–60.
- [6] Drucker, P.F. (1993) Post-Capitalist Society, Oxford: Butterworth Heinemann.
- [7] Dyer, J. and Singh H. (1998) ‘The Relational View: Cooperative Strategy and Sources of Inter organizational Competitive Advantage’, The Academy of Management Review, vol. 23 (4), pp. 660–679.
- [8] Edvinsson, L. (1997) ‘Developing intellectual capital at Skandia’, Long Range Plan, vol. 30(3), pp. 366–373.
- [9] Farlow, S.J. (ed.) (1984) Self-organizing Methods in Modelling: GMDH-type Algorithms, New York: Marcel Dekker Inc. Justyna Patalas-Maliszewska
- [10] Karlsson, C. and Johansson, B. (2006) ‘Dynamics and Entrepreneurship in a Knowledge-Based Economy’, in Karlsson, C., Johansson B. and Stough R.R. (eds) Entrepreneurship and Dynamics in the Knowledge Economy, New York: Routledge.
- [11] Lee, K.C., Lee, S. and Kang, I.W. (2005) ‘KMPI: Measuring Knowledge Management Performance’, Information & Management, vol. 42(3), pp. 469–482.
- [12] Leonard-Barton, D. (1995) Wellspring of Knowledge: Building and Sustaining the Sources of Innovation, Boston: Harvard Business School Press.
- [13] Lev, M. (2009) ‘WEB 2.0 implications on knowledge management’, Journal of Knowledge Management, vol. 13(1), pp. 120–134.
- [14] Lin, Hsiu-Fen (2007) ‘Knowledge sharing and firm innovation capability: an empirical study’, International Journal of Manpower, vol. 28(3/4), pp. 315–332.
- [15] Maula, M., Keil, T. and Zahra, S. (2003) ‘Corporate venture capital and recognition of technological discontinuities’, Working Paper, Helsinki University of Technology.
- [16] Nonaka, I. (1994) ‘The dynamics theory of organizational knowledge creation’, Organization Science, vol. 5, pp. 14–37.
- [17] Nonaka, I. and Takeuchi, H. (1995) The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, New York: Oxford University Press.
- [18] Patalas-Maliszewska, J. (2013) Knowledge Worker Management: Value Assessment, Methods, and Application Tools, Heidelberg: Springer.
- [19] Reychav, I. and Weisberg, J. (2009) ‘Going beyond technology: Knowledge sharing as a tool for enhancing customer-oriented attitudes’, International Journal of Information Management, vol. 29, pp. 353–361.
- [20] Spender, J.C. (1994) ‘Organizational knowledge, collective practice, and Penrose rents’, International Business Review, vol. 3, pp. 353–367.
- [21] Su, C.T., Chen, Y.H. and Sha, D.Y (2006) ‘Linking innovative product development with customer knowledge: A data mining approach’, Technovation, vol. 26(7), pp. 784–795.
- [22] Tiwana, A. (2002) The knowledge management tool kit: orchestrating IT, strategy, and knowledge platforms (2nd ed.). Upper Saddle River, New York: Prentice Hall.
- [23] Von Hippel, E. (1994) ‘Sticky information and the locus of problem solving: Implications for innovation’, Management Science, vol. 40, pp. 429–439.
- [24] Wei Chong, C., Choy Chong, S. and Chew Gan, G. (2011) ‘Inter‐organizational knowledge transfer needs among small and medium enterprises’, Library Review, vol. 60 (1), pp. 37–52.
- [25] Yli-Renko H., Autio, E. and Sapienza, H.J. (2001) ‘Social Capital, Knowledge Acquisition, and Knowledge Exploitation in Young Technology-Based Firms’, Strategic Management Journal, vol. 22 (6–7), pp. 587–614.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0741370b-b939-4d3e-8d0c-5ffb4c0e88a9