SOURCES OF COMPETITIVE ADVANTAGE IN THE DAIRY INDUSTRY: SUPPLY CHAIN MANAGEMENT PRACTICES

Authors

  • Charles Maina Department of Agricultural Economics: Kenyatta University
  • Prof, Benard K. Njehia Department of Agricultural Economics: Kenyatta University
  • Dr Bett Kiprotich Eric Department of Agricultural Economics: Kenyatta University
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Keywords:

Supply chain management practices, competitive advantage, Resource-based view theory and structural equation modelling

Abstract

Purpose: Ferocious competition in today’s globalized markets and heightened customer expectations have pushed organisations into a constant search for new ways of securing competitive advantage. Against this backdrop, this paper sought to explore the effects of supply chain management (SCM) practices on the competitive advantage underpinned on resource-based view theory (RBV).

Methodology: The study adopts descriptive and explanatory research design with purposive sampling and quantitative data collection methods through crossed ended questionnaires from 109 dairy co-operatives in Kenya. Data collected was organized and cleaned using both excel and statistical package for social scientist (SPSS). Additionally, partial least squares structural equation modelling (PLS-SEM) techniques were used to analyze data in SmartPLS version 3.2.9 software, and the results for both descriptive and inferential were presented in tables.

Results: The findings show that SCM practices have a positive and significant (β= 0.736, t = 12.958, p=0.000) relationship with a competitive advantage. Further results show that supplier development has relatively high importance in explaining competitive advantage, followed by logistics management, information communication and technology, purchasing management, and customer relationship management. Specifically, the study recommends a close focus on the performance improvement of logistics management while monitoring the performance of the other four dimensions of SCM practices. 

Unique contribution to theory, practice and policy: The study provides insights into the practice of SCM to the managers in the dairy industry. Additionally, the study contributes to the policy by providing a framework for improving competitive advantage in the dairy industry. Furthermore, the study contributes to the literature of SCM practices in the dairy industry as well as the development and validation of the Resource-based View (RBV) theory.

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Author Biographies

Charles Maina, Department of Agricultural Economics: Kenyatta University

Post Graduate Student

Prof, Benard K. Njehia, Department of Agricultural Economics: Kenyatta University

Lecturer

Dr Bett Kiprotich Eric, Department of Agricultural Economics: Kenyatta University

Lecturer

References

Anatan, L. (2014). Factors Influencing Supply Chain Competitive Advantage and Performance. International Journal of Business and Information, 9(3), 311–334.
Apopa, V. A. (2018). Influence of Supply Chain Management Practices on Performance of Government Ministries in Kenya. Jomo kenyatta University of Agricultura and technology.
Banerjee, M., & Mishra, M. (2015). Retail supply chain management practices in India: A business intelligence perspective. Journal of Retailing and Consumer Services, 34, 248–259. https://doi.org/10.1016/j.jretconser.2015.09.009
Barasa, P. W. (2016). CONTRIBUTIONS OF SUPPLY CHAIN MANAGEMENT PRACTICES ON PERFORMANCE OF STEEL MANUFACTURING COMPANIES IN KENYA. Jomo Kenyatta University of Agriculture and Technology.
Chege, P. W. (2017). Influence of Internal Business Value Chain Practices On The Supply Chain Performance Of Large Manufacturing Firms In Kenya. Jomo Kenyatta University Of Agriculture And Technology.
Dikshit, S. K., & Trivedi, S. (2012). Impact Of Supply Chain Management Practices On Competitive Edge And Organisational Performance: Study Of Cement IndustrY. Paradigm, 14(2), pp 67-81.
Fornell, & Larcker, D. F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/Article
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430–447. https://doi.org/10.1108/IntR-12-2017-0515
Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models. G. David Garson and Statistical Associates Publishing.
Ghatebi, M., Ramezani, E., & Shiraz, M. (2013). Impact of Supply Chain Management Practices on Competitive Advantage in Manufacturing Companies of Khuzestan Province. Interdisciplinary Journal of Contemporary Research in Business, 5(6), 269–274.
Govindaraju, V. C., Sundram, V. P. K., & Muhammad, A. B. (2016). Supply chain practices and performance: the indirect effects of supply chain integration. An International Journal, 23(6), 1445–1471.
Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory tetrad analysis in PLS path modeling. Journal of Business Research, 61(12), 1238–1249. https://doi.org/10.1016/j.jbusres.2008.01.012
Hair, Joe F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109(August 2019), 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, Joseph F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Hamid, R. A., Sami, W., & Sidek, M. (2017). Discriminant Validity Assessment : Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series PAPER, 890, 6.
Hwang, H., Sarstedt, M., Cheah, J. H., & Ringle, C. M. (2019). A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA. Behaviormetrika, (0123456789). https://doi.org/10.1007/s41237-019-00085-5
Jie, F., Parton, K. a., & Cox, R. J. (2013). Linking supply chain practices to competitive advantage: An example from Australian agribusiness. British Food Journal, 115(7), 1003–1024. https://doi.org/10.1108/BFJ-10-2010-0181
Joseph F Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks. Sage.
Kamasak, R. (2013). The contribution of tangible and intangible assets on a firm’s profitability and market performance: A resource-based perspective. University of Exeter.
Kant, S. J. G. R. (2015). Supply chain practices: A content analysis in empirical research and framework for future development. International Journal of Productivity and Performance Management, 64(5), 657–685.
KNBS. (2020). Economic Survey. Economic Survey. https://doi.org/10.4324/9781315016702
Kumar, R. (2016). Organizational performance through dairy supply chain management practices: A winning approach. Innovative Solutions for Implementing Global Supply Chains in Emerging Markets, 84–96. https://doi.org/10.4018/978-1-4666-9795-9.ch005
Martínez-Navalón, J. G., Gelashvili, V., & Debasa, F. (2019). The impact of restaurant social media on environmental sustainability: An empirical study. Sustainability (Switzerland), 11(21). https://doi.org/10.3390/su11216105
Memia, F. K. (2018). INFLUENCE OF CONTEMPORARY SUPPLY CHAIN PRACTICES ON PERFORMANCE OF LARGE MANUFACTURING FIRMS IN KENYA. Jomo Kenyatta University of Agriculture and Technology.
MoALF. (2017). KENYA ’ S DAIRY NATIONALLY APPROPRIATE MITIGATION ACTION (NAMA).
MoALF. (2018). Smallholder Dairy Commercialization Programme: Module VI.
Nassiuma, D., & Nyoike, N. (2013). Milk Production and Marketing in Kenya, a preliminary survey Report.
Nik, R., Masdek, N. M., & Othman, M. F. (2014). Supply chain management practices as a source of competitive advantage for food processing SMEs in Peninsular Malaysia. Economic and Technology Management Review, 9a, 19–28.
Rasoolimanesh, S. M., & Ali, F. (2018). Guest editorial. Journal of Hospitality and Tourism Technology, 9(3), 238–248. https://doi.org/10.1108/JHTT-10-2018-142
Rose, R. C., Abdullah, H., & Ismad, A. I. (2010). A Review on the Relationship between Organizational Resources, Competitive Advantage and Performance. The Journal of International Social Research, 3(11), 488–498.
Saqib, S., & Rashid, S. (2013). Resource Based View of the Firm : The Nature of Resources Required for Competitive. International Journal of Management and Organizational Studies, 2(1), 92–95.
Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196–202. https://doi.org/10.1057/s41270-019-00058-3
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Spina, D., Di Serio, L., Brito, L., & Duarte, A. (2015). The Influence of Supply Chain Management Practices in the Enterprise Performance. American Journal of Management, 15(2), 54.
Sundram, V. P. K., Ibrahim, A. R., & Govindaraju, C. (2011). Supply chain management practices in the electronics industry in Malaysia Consequences for supply chain performance. An Nternational Journal, 18(6), 834–855. https://doi.org/10.1108/14635771111180725
Sundram, V. P. K., Razak Ibrahim, A., & Chandran Govindaraju, V. G. R. (2011). Supply chain management practices in the electronics industry in Malaysia. Benchmarking: An International Journal, 18(6), 834–855. https://doi.org/10.1108/14635771111180725
Tailab, M. M. K. (2020). Using Importance-Performance Matrix Analysis to Evaluate the Financial Performance of American Banks During the Financial Crisis. SAGE Open, 10(1), pg 1-17. https://doi.org/10.1177/2158244020902079
Tatoglu, E., Bayraktar, E., Golgeci, I., Koh, S. C. L., Demirbag, M., & Zaim, S. (2016). How do supply chain management and information systems practices influence operational performance? Evidence from emerging country SMEs. International Journal of Logistics Research and Applications, 19(3), 181–199. https://doi.org/10.1080/13675567.2015.1065802
Tuan, N. P., & Yoshi, T. (2010). ORGANISATIONAL CAPABILITIES , COMPETITIVE ADVANTAGE AND PERFORMANCE IN SUPPORTING. Asian Academy of Management Journal, 15(1), 1–21.
Wanjala, S. O., Njehia, B., & Ngichabe, C. (2014). Assessment of the structure and performance of the milk market in western Kenya. International Journal of Current Research, 6(03), 5652–5656.
Wijetunge, W. A. D. ., & Ranwala, R. (2018). Do Supply Chain Management Practices Contribute Firm Competitiveness? A Study based on Medium Scale Entrepreneurial Firms in Sri Lanka. Kelaniya Journal of Management, 6(2), 52. https://doi.org/10.4038/kjm.v6i2.7545

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Published

2020-05-30

How to Cite

Maina, C., Njehia, P. B. K., & Eric, D. B. K. (2020). SOURCES OF COMPETITIVE ADVANTAGE IN THE DAIRY INDUSTRY: SUPPLY CHAIN MANAGEMENT PRACTICES. International Journal of Supply Chain Management, 5(1), 54 – 72. Retrieved from https://iprjb.org/journals/index.php/IJSCM/article/view/1083

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