Mr John Asu

Job: Lecturer in Business and Management

Faculty: Business and Law

School/department: School of Leadership, Management and Marketing

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: john.asu@dmu.ac.uk

 

Research interests/expertise

Performance Evaluation of supply chain management
Operational risk management
Decision Support Systems (DEA and MCDM)

Qualifications

Ph.D. in view in strategic management and marketing, Castle Business School, De Montfort, Leicester, United Kingdom

M.Sc in Oil and Gas Management, Dundee Business School, Abertay University Dundee, Scotland, United Kingdom

B.Tech. in Mechanical Engineering, Modibbo Adama University of Technology Yola, Adamawa State, Nigeria.

Honours and awards

The John Beaton Prize for outstanding academic performance in Oil and Gas Accounting and Management MSc.
Abertay University - Dundee, Scotland.
Academic Excellence

Nigerian Presidential award for outstanding performance in National Youth Service Cop.

Conference attendance

BAL Research Conference and Oscars, July, 2020

PhD project

Title

Effective risk Management in the Nigerian Oil Industry Supply Chain

Abstract

Crude oil and petroleum product supply chain is a complex and vulnerable business mixed with global and national uncertainties. The industry is faced with different types of risk at different stages of the supply chain. Managers and practitioners in the petroleum supply chain have made it obvious that effective risk management could lead to significant success in their activities. To effectively manage risk in the oil industry supply chain, this research identified and assessed potential risk in the internal structure to control them. This study aims to adapt data envelopment analysis as an effective ranking method that helps the decision-makers to handle multiple inputs and multiple output setting. The system structure consists of a supply stage, production stage, and transportation and distribution stages, and a multi-stage data envelopment analysis is used to evaluate and prioritize the identified risks. The risk prioritization is carried out where the severity, occurrence, and detectability are input variables and the impact of risk on people, environment, and business continuity are output variables in the oil industry supply chain. The proposed approach is implemented in the Nigerian oil industry supply chain to get practical findings and shed some light on how the industry can effectively mitigate the risk and prompt the local economic growth.

ORCID number

0000-0002-3915-589X.
john-asu