Browsing by Author "Enyinda, Chris I."

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Analytic Hierarchy Process and Sensitivity Analysis Approach for Social Media Impact on Pharmaceutical Relationship Marketing Tactics
(Decision Science Institute, 2013) Enyinda, Chris I.; Ogbuehi, Alphonso O.; Hamouri, Suhair
Pharmaceutical relationship marketing (PRM) bodes well with the social media environment. Pharmaceutical industry can build and maintain relationships with consumers through social media. Firms that leverage social media to enhance their PRM tactics will be viewed favorably in terms of trust, transparency, openness, and honesty. This paper explores the sensitivity analysis (SA) of PRM tactics within the social media environment using analytic hierarchy process (AHP) approach. Results revealed customer engagement as the most important PRM tactic, followed by communication, and trust. The performance SA carried out on the PRM tactics showed that the ranking associated with social media channel options remained robust or insensitive to small perturbations.
Modeling enterprise risk management in operations and supply chain : a pharmaceutical firm context
(2018) Enyinda, Chris I.
The growing prevalence of disruptive influences in modern operations and supply chains has called for a systematic approach to identify risk sources and to develop predictive enterprise risk management. This imperative has become a top priority for many organizations such as the pharmaceutical industry. This paper leverages a multi-criteria decision making methodology to model enterprise risk management in a focal pharmaceutical firm operations and supply chain. Six types of risks and five strategies are considered and analyzed. Results suggest that supply chain executives attach great importance to regulation/legislation, followed by operational, and reputation risks, while financial, market, and relationship risks ranked low in importance. With respect to enterprise risk management strategies, risk reduction/mitigation was considered the best option followed by risk avoidance option. From the results, it appears that multi-criteria decision making methodology can be used to assist supply chain executives in developing a priority hierarchy for risk management strategies. It can also help the management with a step-by-step approach to identify, assess, and manage portfolio of risks that can be detrimental to their pharmaceutical supply chain performance, brand equity, profit growth, and shareholder value. © Operations and Supply Chain Management. All rights reserved.
Quantifying sources of risk in global food operations and supply chain
(Wiley-Liss Inc., 2017-11) Enyinda, Chris I.; Mbah, Chris H.
The food industry plays a significant role in food supply. However, it is increasingly facing a significant number of risks to tackle. This article provides insight into sources and quantification of risk, which can restrict food operations and supply chain performance. Certainly, risks imposed by today's constantly changing global environment makes it imperative for food and agribusiness firms to develop purposeful proactive and predictive risk management for their global supply chains. We proposed the analytic hierarchy process (AHP) model to analyze sources of risks attached to the focal firm's global food operations and supply chain. The identified risks were from a review of relevant literature, expert opinions from the focal firm supply chain C-level executive, and consultants in the food industry. We grouped the identified risks into seven categories and discussed the risk mitigation strategies. We validated the proposed model using a case study involving a focal food and agribusiness firm with global presence. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.
Quantitative Risk Analysis for International Project Management and Programs in an Emerging Economy
(Springer Science and Business Media B.V., 2017) Enyinda, Chris I.
Historically, international projects are prone to both endogenous and exogenous risks. And the World Bank international projects and programs are not immune to similar risks. What is important though is the ability of project managers to identify the sources of endogenous and exogenous risks and how to leverage proactive or predictive project risk management strategies. Arguably, predictive project risk management is the lifeline for successful projects and programs. Managing portfolio of risks in international projects is imperative for the World Bank’s mission of economic development and poverty eradication in developing countries. Inability to identify sources of risks attached to projects and programs can contribute to missed opportunities. It can also discourage the World Bank and other international agencies from approving or awarding future development projects and programs. Although in spite of the growing menace of risks in development projects and programs, project managers have little or no knowledge of project risk management. This chapter proposes a multi-attribute decision support approach to model and analyze the risk for the World Bank projects and programs in Nigeria. © 2017, Springer International Publishing Switzerland.