Competiveness from Contextualisation of Supply Chain Knowledge

Authors

  • Gabriela López Human Resources Department, Production and Quality, Universidad Autónoma de Aguascalientes Author
  • Steve Eldridge Operations Management and Logistics Department, Manchester Business School Author
  • Salomón Montejano Human Resources Department, Production and Quality, Universidad Autónoma de Aguascalientes Author
  • Patricia Silva Human Resources Department, Production and Quality, Universidad Autónoma de Aguascalientes Author

DOI:

https://doi.org/10.37380/jisib.v2i2.40

Keywords:

Knowledge management, supply chain, competitiveness, contextualisation, diagnosis

Abstract

This paper provides a discussion about the need of a continuous contextualisation of knowledge practices in organisations. Also, a proposal of a knowledge representation to contextualize and diagnose supply chain knowledge is presented. The proposed knowledge representation is a codification to incorporate context in a way that some form of diagnosis of supply chain practices can be carried out, which could reveal possible favourable and unfavourable effects of practices in a supply chain. In addition, this paper has been constructed in Excel® as a prototype, with the aim of being used in workplaces to support decisions making in SMEs supply chains. For this investigation, a number of best practices have been analysed. Also, focus groups and individual interviews to operations managers, from global, small and medium enterprises, have been carried out. Subsequently, it has been possible to integrate the proposed coding representation to enable a contextualisation and diagnosis of supply chain knowledge.

References

Adeli, H. (1990). Knowledge Engineering. Ohio, US: McGraw-Hill.

Ahmadi, F., and Shirzade, J. (2011). Identify factor that impact on develop of knowledge Management in Automobile Industry. [Article]. Interdisciplinary Journal of Contemporary Research in Business, 2(10), 327-340.

Ahumada-Tello, E., Zárate Cornejo, R. E., López, I. P., and Alberto Perusquia Velasco, J. M. (2012). Modelo de Competitividad Basado en el Conocimiento: El Caso de las Pymes Del Sector De Tecnologías De Información Enbaja California. (Spanish). [Article]. Productivity Model Based On Knowledge- The Case of the Information Tecnology Pymes In Baja California. (English), 5(4), 13-27.

Barki, H., and Pinsonneault, A. (2005). A model of organizational integration, implementation effort, and performance. Organization science, 16(2), 165-179.

Bessant, J., Kaplinsky, R., and Lamming, R. (2003). Putting supply chain learning into practice. International Journal of Operations and Production Management, 23(2), 167.

Christopher, M. (1992). Logistics and Supply Chain Management (2nd ed.). London. Desouza, K., and Chattaraj, A. (2003). Supply chain perspectives to knowledge management: research propositions. Journal of Knowledge Management 7(3), 129-138.

Grant, D., Lambert, D., Stock, J., and Ellram, L. (2006). Fundamentals of Logistics Management: Mc Graw Hill.

Hoek, R. I. (2006). Agile Supply Chain. Bradford: Emerald Group Publishing Ltd.

Hult, T., and Ketchen, D. (2005). Knowledge as a strategic resource in supply chains. Journal of operations management, 24, 458-475.

Huselid, M. (1995). The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance. The Academy of Management Journal, 38(3), 635-672

Lambert, D. M., and Cooper, M. C. (2000). Issues in Supply Chain Management. Industrial Marketing Management, 29(1), 65-83.

Radding, A. (1998). Knowledge Management: Succeeding in the Information-Based Economy (1st ed. Vol. 1). South Carolina: Computer Technology Research Corporation.

Stewart, G. (1997). Supply-chain operations reference model (SCOR): the first cross-industry framework for integrated supply-chain management. Logistics Information Management, 10(2).

Swan, J., Newell, S., and Robertson, M. (1999). The illusion of 'best practice' in information systems for operations management. European Journal of Information Systems, 8(4), 284.

Thomas Choi, J. B., Norbert Wank. (2004). Intellectual property management: a knowledge supply chain perspective. Business Horizon, 47(1), 37-44.

Tracey, M., Vonderembse, M. A., and Lim, J.-S. (1999). Manufacturing technology and strategy formulation: keys to enhancing competitiveness and improving performance. Journal of Operations Management, 17(4), 411- 428.

Trent, R. J. (2008). End-to-end lean management. A guide to complete supply chain improvement. U.S.A.: J. Ross.

Ungan, M. (2004). Factors affecting the adoption of manufacturing best practices. Benchmarking: An International Journal, 11(5), 504 - 520.

Weber, R., Aha, D. W., and Becerra-Fernandez, I. (2001). Intelligent lessons learned systems. Expert Systems with Applications, 20(1), 17-34.

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Published

2012-09-30

How to Cite

López, G., Eldridge, S., Montejano, S., & Silva, P. (2012). Competiveness from Contextualisation of Supply Chain Knowledge. Journal of Intelligence Studies in Business, 2(2), 42-50. https://doi.org/10.37380/jisib.v2i2.40