Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2017 | t. 18, z. 8, cz. 2 Logistyka w naukach o zarządzaniu. Część II | 33--49
Tytuł artykułu

The Nature of Knowledge Flows

Treść / Zawartość
Warianty tytułu
Języki publikacji
Knowledge is widely recognized as the key to a sustainable competitive advantage; however, the impact of individual types of knowledge on the level of this advantage is different. This particularly applies to the environment represented by machine-building industry enterprises. Enterprises of machine-building industry frequently implement their tasks in the form of projects or contracts. Studies carried out by the author prove that an important factor that influences the effective and efficient completion of orders is suppliers and customers' knowledge, whose inclusion into project teams improves the access to information and expertise in relation to new ideas and technologies. Taking into account this approach, knowledge flows are of crucial importance for the efficiency and effectiveness of order completion, in particular the flows between the company and entities inside and outside the supply chain. The identification of the nature of these flows, which takes into account the width and length of the flow channel, allows early identification of potential problems and thereby improves the quality of the final product, eliminates any modifications, and reduces the costs of the entire project. As part of the study, a method to determine the nature of knowledge flow within the organization and between entities inside and outside the supply chain was evolved. This method allows to determine the relationship between the nature of knowledge flow (laminar flow, turbulent flow), and the speed and accuracy of decisions made in relation to order completion. In addition to the critical review of the literature, this article describes field studies conducted in thirty-eight (38) selected enterprises of machine-building industry, carried out in the form of direct interviews with senior managers with the use of research questionnaires. These were two-stage studies. First, types of knowledge used in accordance with the areas of knowledge in the process of order completion in the context of the processes of knowledge were identified. Secondly, its nature was determined on the basis of the distance between the source and the recipient of knowledge, and types of connections between the nodes of knowledge. (original abstract)
  • Silesian University of Technology, Poland
  • Amin A., Cohendet P. (2004), Architectures of knowledge. In: Firms, Capabilities and Communities, Oxford University Press, Oxford.
  • Audretsch D. B., Feldman M. P. (1996), R&D spillovers and the geography of innovation and production, "American Economic Review", Vol. 86, pp. 630-640.
  • Batchelor G.K. (1967), Introduction to Fluid Dynamics, Cambridge University Press, Cambridge.
  • Beaudry C., Breschi S. (2003), Are firms in clusters really more innovative?, "Economics of Innovation and New Technology", 12 (4), pp. 325-342.
  • Cao M., Zhang Q. (2011), Supply Chain Collaboration: Impact on Collaborative Advantage and Firm Performance, "Journal of Operations Management", 29 (3).
  • Carr S. C., Maclachlan M. (2005), Knowledge flow and capacity development: an introduction to the special issue, "Higher Education Policy", Vol. 18, pp. 199-205.
  • Cassiman B., Veugelers R. (2002), R&D cooperation and spillovers: Some empirical evidence from Belgium, "American Economic Review", 92 (4), pp. 1169-1184.
  • Chinho Lin Ju-Chuan Wu Hua-Ling Tsai (2013), A hybrid approach to knowledge flow, "Industrial Management & Data Systems", Vol. 113, Iss 5, p. 628.
  • Cohen W., Levinthal D. (1989), Innovation and learning: the two faces of R&D, "Economic Journal", 99, pp. 569-596.
  • Dalmarco G., Zawislak P., Hulsink W. (2011), Knowledge Flow on Innovative Sectors. How can university-industry relations in the Netherlands bring new outcomes to innovation in Brazil? [in:] 9th GLOBELICS International Conference (2011), Buenos Aires. 9th GLOBELICS International Conference, Vol. 1., p. 7.
  • Dohn K. (2015), Przepływ wiedzy w organizacji - próba konceptualizacji. "Zeszyty Naukowe PŚl., Org. Zarz.", z. 78, pp. 85-97.
  • Dohn K., Gumiński A., Matusek M., Zoleński W. (2013), Model wspomagania zarządzania w zakresie zarządzania wiedzą w polskich przedsiębiorstwach budowy maszyn, Difin, Warszawa.
  • Elsner J.W. (1987), Turbulencja przepływów, PWN, Warszawa.
  • Escribano A., Fosfuri A., Tribó J. A. (2009), Managing external knowledge flows: The moderating role of absorptive capacity, "Research Policy", Vol. 38(1), pp. 96-105.
  • Fosfuri A., Motta M., Ronde T. (2001), Foreign direct investments and spillovers through workers' mobility, "Journal of International Economics", Vol. 53, pp. 205-222.
  • Giuliani E., Bell M. (2005), The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster, "Research Policy", 34 (1), pp. 47-68.
  • Jaffe A. (1986), Technological opportunity and spillovers of R&D: evidence from firms' patents, profits, and market value, "American Economic Review", 76 (5), pp. 984-1001.
  • Jeff C., Lori N. K. L., Kiku J. (2011), The human resource's influence in shaping IT competence, "Industrial Management and Data Systems", Vol. 111, No. 2, pp. 164-183.
  • Kohlbacher F. (2008), Knowledge-based New Product Development Fostering Innovation Through Knowledge Co-Creation, "Int. J. Technology Intelligence and Planning", Vol. 4, No. 3, pp. 326-346.
  • Laihonen H. (2006), Knowledge flows in self-organizing processes, "Journal of Knowledge Management", Vol. 10, Iss 4, pp. 127-135.
  • Maula M. (2000), The senses and memory of a firm - implications of autopoiesis theory for knowledge management, "Journal of Knowledge Management", Vol. 4, No. 2, pp. 157-161.
  • Nissen M. E. (2002), An extended model of knowledge-flow dynamics, "Communications of the Association for Information Systems", Vol. 8, pp. 251-266.
  • Ramirez A.M., Morales V.J.G., Aranda D.A. (2012), Knowledge creation and flexibility of distribution of information, "Industrial Management and Data Systems", Vol. 112, No. 2, pp. 166-185.
  • Saxenian A. (1994), Regional Advantage: Culture and Competition in Silicon Valley and Route 128, Harvard University Press, Cambridge, MA.
  • Schiuma G. (2012), Managing knowledge for business performance improvement, "Journal of Knowledge Management", Vol. 16, Iss 4, pp. 515-522.
  • Schutte M., Snyman M.M.M. (2006), Knowledge flow elements within a context - a model, "South African Journal of Information Management", Vol. 8, No. 2.
  • Sorensona O., Rivkinb J.W., Fleming L. (2006), Complexity, networks and knowledge flow, "Research Policy", 35, pp. 994-1017.
  • Świerżewski Ł. (2015), "Nowa normalność" w świecie biznesu, "Harvard Business Rewiev", Boston, MA.
  • Thomke S.H. (2003), Experimentation Matters: Unlocking the Potential of New Technologies for Innovation, Harvard Business School Press, Boston, MA.
  • Wilson D. (2007), An integrated model of buyer - seller relationship, "Journal of The Academy of Marketing Sciences", Vol. 23, pp. 335-345.
  • Zhuge H. (2002), A Knowledge Grid Model and Platform for Global Knowledge Sharing, "Expert Systems with Applications", 22 (4), pp. 313-320.
  • Zhuge H. (2002), A Knowledge Flow Model for Peer-to-Peer Team Knowledge Sharing and Management, "Expert Systems with Applications", 23(1), pp. 23-30.
Typ dokumentu
Identyfikator YADDA

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.