RELATIONSHIP BETWEEN FOURTH PARTY LOGISTICS SERVICES AND PERFORMANCE OF MANUFACTURING FIRMS IN KENYA
Abstract
This study sets out to investigate the relationship between fourth party logistics services and performance of manufacturing firms in Kenya. More specifically, the study seeks to establish the influence of transport management and logistics information management system on performance of manufacturing firms in Kenya. The study was guided by the logistics theory and the principal agency theory. To achieve this, the study reviewed both theoretical and empirical literature and then proposed the research methodology that address the gaps identified in literature as well as answer the stipulated research questions. This research study adopted a descriptive research design approach. The study preferred this method because it allowed an in-depth study of the subject. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. The quantitative data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) to generate information which was presented using tables, charts, frequencies and percentages. The response rate of the study was 95%. The findings of the study indicated that transport management and logistics information management system have a positive relationship with performance of manufacturing firms in Kenya. Finally, the study recommended that manufacturing firms should embrace fourth party logistics so as to improve performance and further researches should to be carried out in other sectors to find out if the same results can be obtained.
Key Words: Transport Management, Logistics Information Management, Fourth Party Logistics, Performance
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Abrahamsson, M. (2008). The role of Logistics in Corporate Strategy. Business Process Management Journal, 10(2), 54-68.
Achuora, J. O., Guyo, W., Arasa, R. & Odhiambo, R., (2015). Effect of Green Supply Chain Management Practices on the Performance of Manufacturing Firms in Kenya, Ph.D (SCM) Dissertation. Jomo Kenyatta University of Agriculture and Technology: Kenya
Alavi, M., & Carlson, P. (2012). A review of MIS research and disciplinary development: Journal of Management Information Systems, 8 (4), 45–62.
Aldin, N., Brehmer, O., & Johansson, A. (2004). Business development with electronic commerce: refinement and repositioning. Business Process Management Journal, 10(1), 44-62.
Bagchi, P. & Skjoett-Larsen, T. (2012). Integration of Information Technology and Organizations in a Supply Chain: International Journal of Logistics Management, 4(1), 89-108.
Baiman, S., & Rajan, M. (2012). Incentive issues in inter-firm relationships. International Journal of Accounting Organizations 27(2), 213-238.
Ballot, B., & Fontane, F. (2010). Reducing transportation Co2 emissions through pooling of supply networks: perspectives from a case study in French retail chains: International Journal of Production Planning & Control, 21 (6), 640-650.
CCG. (2010). National Development Fund Report Instructional Structures and Reforms. Nairobi: Centre for Corporate Governance.
Chang, W., Chiang, M., & Pai, Y. (2012). Cooperative Strategy in Supply Chain Networks. International Journal of Industrial Marketing Management 12 (1), 11-19.
Chang, Y.H. (2011). Logistical Management. Hwa-Tai Bookstore Ltd., Taiwan
Chopra, S., & Meindl, P. (2013). Supply Chain Management: Strategy, Planning, & Operation. (3th ed) NJ: Prentice-Hall. Inc
Cruijssen, F., Cools, M., & Dollaert, W. (2013). Horizontal Cooperation in logistics: Opportunities and Pediments. Logistics and Transportation Review, 4(2), 129-147
Deloitte (2012). Strategic Review of Logistics Logistics information management system in Kenya. Nairobi: International finance Corporation-World Bank Group Press. Retrieved February 2017
Deloitte (2016). Optimizing supply chain management. Turning a Cost into a Value Proposition Accessed on 30th June 2017
Dunn, S. D. (2010). Statistics and Data analysis for the Behavioural Science: Mc Graw Hill
Eisenhardt, M., & Martin, J. A. (2010). Dynamic capabilities: what are they? Strategic Management Journal, 21(10/11), 1105-1121.
Fawcett, E., Gregory, M., & Mathew, W, (2008). Benefits, barriers, and bridges to the effective supply chain management, Supply Chain Management. International Journal of Operations Management, 9 (2), 188-196.
Frost, J. & Sullivan, M. (2014). Fourth-Party Logistics: Turning a Cost into a Value Proposition, Supply Chain Management, 5(10), 1-2.
Grover, V. & Malhotra, M. (2013). Transaction cost framework in operations and supply chain management research: theory and measurement, Journal of Operations Management, 21(4), 457-473
Harland, C. M. (2009). Supply Chain Management: Relationships, Chains and Networks. British Journal of management, 21(14), 457-473
Hendricks, K. & Singhal, V. (2013). The Effect of Supply Chain glitches on Shareholder Wealth, Journal of Operations Management 45 (21), 501 – 522
Hubner, A. & Elmhorst, M.A., (2013). “E-business in Purchasing: From E-Procurement to Supply Chain Managementâ€, Published by Springer, 7 (5), 44-45
Islam, D.Z. & Zunder, T. H. (2013). Performance evaluation of an online benchmarking tool for European freight transport chains, Benchmarking: An International Journal 20 (2), 233-250
ISO (2010). ‘Quality management and quality assurance vocabulary, International Organization for Standardization, Geneva.
John, G & Johnson, P. (2012). Research methods for Managers, 4th Edition. Sage Publications: London.
Joiner, T. (2012). Product packaging and labeling management and performance: the role of organization support and co-worker support. International journal of quality & reliability management, 24(6), 617-627
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