RELATIONSHIP BETWEEN RISK IDENTIFICATION MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

Authors

  • Dr.David Kiarie Jomo Kenyatta University of Agriculture and Technology
  • Dr. Patrick Ngugi Jomo Kenyatta University of Agriculture and Technology
  • Dr. Kennedy Ogollah University of Nairobi

DOI:

https://doi.org/10.47941/ijscl.156
Abstract views: 234
PDF downloads: 185

Keywords:

risk identification management strategy, performance, manufacturing companies

Abstract

Purpose: The purpose of this study was to determine relationship between risk identification management strategy and supply chain performance among manufacturing companies in Kenya

Methodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.

Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.)

Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

Downloads

Download data is not yet available.

Author Biographies

Dr.David Kiarie, Jomo Kenyatta University of Agriculture and Technology

Doctorate student

Dr. Patrick Ngugi, Jomo Kenyatta University of Agriculture and Technology

Lecturer

Dr. Kennedy Ogollah, University of Nairobi

Lecturer

References

Allayannis, G., G. W. Brown, & L. F. Klapper, 2001, Exchange Rate Risk Management: Evidence from East Asia. University of Virginia Working Paper, Nov/19/2000, Darden School of Business, USA

Allen, Norman, & Robert L. 2004.Categorization of Supply Chain Risk and Risk Management, in Supply Chain Risk.Edited by C. Brindley. London: Ashgate Publishers.

Ambira, C.M. &Kemoni, H., (2011), ‘Records management and risk management at Kenya Commercial Bank Limited, Nairobi’, SA Journalof Information Management 13(1), 475-488

Awino, Z.B &Gituro, W. (2011), An Empirical Investigation of Supply Chain Management Best Practices in Large Private Manufacturing Firms in Kenya.Prime Journal of Business Administration and Management (BAM).1(12):26-31.

Beth, E, Bertok, J &Vergez, C (2007), Integrity in Public Procurement: Good Practice From A To Z, Paris, OECD Publishing

Blos, M., Quaddus, M., Wee, H. & Watanabe, K. (2009), Supply chain risk management: a case study of automotive and electronic industries in Brazil, Supply Chain Management: An International Journal, 14(4), 247-252

Chan, H., Wang, W., Luong, L.& Chan, F. (2009), “Flexibility and adaptability in supply chains: a lesson learned from practitioners”, Supply Chain Management: An International Journal, 14(6), 407-410

Chen, H.X., Amodeo, L., Chu, F. &Labadi, K. (2005), “Modelling the performance evaluation of supply chains using batch deterministic and stochastic Petri nets”, IEEE Transactions on Automated Science and Engineering, 2(2), 78-85

Leo O. O., (2009) ‘Kenya is likely to lose billions in erratic tendering system’ African Press International

Li, G., Yan, H., Wang, S.Y. & Xia, Y.S. (2005), Comparative analysis on value of information sharing in supply chains, Supply Chain Management: An International Journal, 10(1), 34-46

Mugenda&Mugenda (2003), Research methods: qualitative and quantitative approaches.

N.J.: Lawrence Erlbaum Associates

Natarajarathinam, M., Capar, I. & Narayanan, A. (2009), Managing supply chains in times of crisis: a review of literature and insights, International Journal of Physical Distribution &Logistics Management, 39(7), 535-573

Neely, A., Mills, J., Platts, K., Richards, H., Gregory, M., Bourne, M. &Kennerley, M. (2000), “Performance measurement system design: developing and testing a process-based approach”, International Journal of Operations & Production Management, 20(4), 640-661.

Peck, H. (2005), Drivers of supply chain vulnerability: an integrated framework, International Journal of Physical Distribution & Logistics Management, 35(4), 210-232

Performance, 3rd ed., Supply Chain Management Institute, Sarasota, FL

Richard H., John F., (2012) Sustainable SME practice: A reflection on supply- chain environmental management intervention, Management of Environmental Quality: An International Journal, 23(6), 673-685

Ritchie, B. &Brindley, C. (2007), Supply chain risk management and performance, A guiding framework for future development, International Journal of Operations & Production Management, 27(3), 303-322

Downloads

Published

2017-04-13

How to Cite

Kiarie, D., Ngugi, D. P., & Ogollah, D. K. (2017). RELATIONSHIP BETWEEN RISK IDENTIFICATION MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA. International Journal of Supply Chain and Logistics, 1(2), 101–118. https://doi.org/10.47941/ijscl.156

Issue

Section

Articles