IIARD International Journal of Economics and Business Management (IJEBM )

E-ISSN 2489-0065
P-ISSN 2695-186X
VOL. 5 NO. 3 2019


The Effect of Risk Mitigation Strategy on Sales Performance of Petroleum Marketing Firms in the Downstream Sector of the Petroleum Industry in Nigeria

Owuso, Stephen Monima & Poi, Elizabeth


Abstract


The paper examined the effect risk mitigation on sales performance of petroleum marketing firms in Nigeria. The purpose of the study was to evaluate the associations between risk mitigation strategies and sales performance. The study proposed a risk mitigation model with risk mitigation as the predictor variable while sales performance as the criterion variable with profit and sales growth as measures of the criterion variable the descriptive research design was adopted for the study while, the Pearson Product Moment correlation was used to test the proposition. The study revealed risk mitigation strategy positively affect profit, while risk mitigation strategy did not have any significant effect on sales growth. The study recommends Petroleum marketing firms analyze the identified risk and ensure that they deploy a strategy that best suit the peculiar situation of risk identified.



References:


Ambituuni, A., Amezaga, J., & Emeseh, E., (2014). Analysis of safety and environmental
regulations for downstream petroleum industry operations in Nigeria: Problems and
prospects. Environmental Development 9, 43-60.

Arcelus, F. J., Kumar, S., & G. Srinivasan, G. (2012). Risk tolerance and a retailer’s pricing
and ordering policies within a newsvendor framework. Omega 40: 188–198.

Ben-Tal, A., Chung, B.D., Mandala, S.R., & Yao, T. (2011). Robust Optimization for
Emergency logistics planning: Risk mitigation in humanitarian relief supply chains.
Transportation Research Part B: Methodological 45, 1177–1189.

Bloom, N., Sadun, R., & Van Reenen, J. (2010). Recent advances in the empirics of
organizational economics. Annual Review of Economics 2 (1), 105–137.

Bottazzi, G., Dosi, G., Jacoby, N., Secchi, A, Tamagni, F. (2010). Corporate sales
performances and market selection: Some comparative evidence. Industrial and
Corporate Change 19 (6), 1953–1996

Chen, F. Y., & Yano, C.A.(2010). Improving supply chain performance and managing risk
under weather-related demand uncertainty. Management Science 56: 1380–1397.

Chiu, C. H., Choi, T. M., & Li, X. (2011). Supply Chain Coordination with risk sensitive
retailer under target sales rebate. Automatica 47: 1617–1625.

David, K.M., Patrick, K.N., & Kennedy, O. (2015). An assessment of effect of risk
identification management strategy on supply chain sales performance in
manufacturing companies in Kenya, International Journal of economic, commerce and
management 3(4), 1-17

Dowty, R. A., & Wallace. W.A. (2010). Implications of organizational culture for supply chain
disruption and restoration. International Journal Of Production Economics 126: 57–
65.

Greenberg, J. (2011). Behavior in Organizations (10th ed). Upper Saddle River, NJ: Prentice
Hall

Enyinda, C.I., Briggs, C., Obuah, E., & Mbah, C. (2011). Petroleum supply chains and analysis
in multinational oil firms in Nigeria. Journal of Marketing Development and
Competitiveness 5(7),37-44

Ho, W., Zheng, T., Yildiz, H., & Talluri S. (2015). Supply chain risk management: A literature
review, International Journal of Production Research, 53(16), 5031-5069

Hopkins, P. (2012). Why failure happen and how to prevent future failures, International
Congress on Logistics, Transportation and Distribution of Hydrocarbon., Journal of
Pipeline Engineering., Guadalajara, Mexico, 77-91.

Hult, G. T. M., Craighead, C. W., & Ketchen, D. J. Jr. (2010). Risk uncertainty and supply
chain decisions: A real options perspective. Decision Sciences, 41(3), 435-458.

Hung, S. J. (2011). Activity-based divergent supply chain planning for competitive advantage
in the risky global environment: A dematel-anp fuzzy goal programming approach.
Expert Systems with Applications 38: 9053–9062.

Kenné, J. P., P. Dejax, and A. Gharbi. (2012). Production Planning of a Hybrid Manufacturing–
Remanufacturing System under Uncertainty within a Closed-loop Supply Chain.
International Journal of Production Economics 135: 81–93.

Kim, W. S. (2013). A supply chain contract with flexibility as a risk-sharing mechanism for
demand forecasting. International Journal of Systems Science 44, 1134–1149.

Kumar Sharma, S. & Bhat, A., (2014). Supply chain risk management dimensions in Indian
automobile industry, Benchmarking: An International Journal 21(6), 1023– 1040.

Lavastre, O., Gunasekaran, A. & Spalanzani, A. (2012). Supply chain risk management in
French companies’, Decision Support Systems 52(4), 828–838.

Liu, L., Li, S. & Wu, Y. (2014). Supply chain risk management in Chinese chemical industry based on Stochastic Chance-Constrained Programming Model, Applied Mathematics &
Information Sciences 8(3), 1201–1206.

McKelvie, A., Wiklund, J. (2010). Advancing firm growth research: A focus on growth mode
instead of growth rate. Entrepreneurship: Theory & Practice 34 (2), 261–288.

Pfohl HC, Kohler H & Thomas, D. (2010) State of the art in supply chain risk management
research: Empirical and conceptual findings and a roadmap for the implementation in
practice. Logistic Research 2, 33-44.

Reichstein, T., Dahl, M.S., Ebersberger, B., & Jensen, M.B., (2010). The devil dwells in the
tails: A quantile regression approach to firm growth. Journal of Evolutionary
Economics 20 (2), 219–231.

Schmitt, A. J., & Singh, M. (2012). A quantitative analysis of disruption risk in a multi-echelon
supply chain. International Journal of Production Economics 139: 22–32

Sodhi, M. S., Son, B., & Tang, C. (2012). Researchers’ perspectives on supply chain risk
management. Production and Operations Management, 21(1), 1-13

Wagner, S.M., & Neshat, N., (2012). A comparison of supply chain vulnerability indices for
different categories of firms, International Journal of Production Research 50(11),
2877–2891.

Sun, J., M. Matsui, & Yin. Y. (2012). Supplier risk management: an economic model of p-
chart considered due-date and quality risks. International Journal of Production
Economics 139: 58–64

Tang, O., & Musa, S.N. (2011). Identifying risk issues and research advancements in supply
chain risk management, International Journal of Production Economics, 133(1),25–34.

Xia, D. (2011). A comprehensive decision-making model for risk management of supply chain,
Expert Systems with Applications, 38(50),4957–4966


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