Â鶹ӰԺ

Dr John Asu

Job: Lecturer in Business Management

Faculty: Business and Law

School/department: School of Leadership, Management and Marketing

Address: Â鶹ӰԺ, The Gateway, Leicester, LE1 9BH

T: +441163664694

E: john.asu@dmu.ac.uk

Social Media:

 

Personal profile

Dr John Asu joined Â鶹ӰԺ as a full-time lecturer in Business and Management in September 2023. Before this, he worked as a part-time Lecturer at Â鶹ӰԺ, Faculty of Business and Law (October 2021 – August 2023), teaching a wide range of subjects, including Crisis and Business Continuity Management, Global Strategic Management, Operations and Supply chain Management, Service Operations Management, strategy, management, business ethics, organisational behaviour, marketing, Corporate Social Responsibility, and human resource management. He has designed training packages from national and international education support for prospective and existing entrepreneurs. This includes start-up training, recovery training, and IGR recovery support training for Governments and Businesses.

John completed his PhD from Â鶹ӰԺ Leicester in 2022 in Business and management and MSc from Abertay University Dundee. His PhD thesis investigated risk mitigation strategies in the petroleum/energy industry supply chain using frontier analysis (DEA). He is an expert in both qualitative and quantitative methods and uses innovative approaches to research. John’s research is focused on using innovative and robust technology to explore emissions in both the energy and transportation sectors to ensure net zero emissions in the sectors. Currently, we are researching ways to achieve a net-zero emission in critical sectors of the global supply chain. 

Research group affiliations

The centre for Entrprise and innovation (CEI) 

Publications and outputs

3* Hatami-Marbini, A., Arabmaldar, A., & Asu, J. O. (2022). Robust productivity          growth and efficiency measurement with undesirable outputs: evidence             from the oil industry. OR Spectrum. https://doi.org/10.1007/s00291-022-             00683-y

2* Hatami-Marbini, A., Asu, J. O., & Khoshnevis, P. (2024). Environmental                    performance assessment in the transport sector using nonparametric                   frontier analysis: A systematic literature review. Computers & Industrial                 Engineering 189 (2024) 109968. https://doi.org/10.1016/j.cie.2024.109968

Key research outputs

1. Net-zero emssions reduction in the supply chain - Developing Countries. 

2. Effective and sustainable supply chain risk management in the global supply chain - Global research 

Research interests/expertise

 

1. Net-Zero performance in the global supply chain                                                  2. Performance Evaluation of supply chain management
3. Operational risk management
4. Decision Support Systems (DEA and MCDM)

Areas of teaching

  • Business and Management
  • Strategy management
  • Business Ethics
  • Organisational Behaviour
  • Operations and suply chain managegment 
  • Service operations management

Qualifications

Ph.D. in Business and Management, Castle Business School, De Montfort, Leicester, United Kingdom

Certificate in teaching and learning in HE - Demontfort University 

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.

Courses taught

Postgraduate

1. PhD: Action Research                                                                                                     2. MSc: Operations and supply chain management                                                                     Oil and gas ccounting and management                                                                         International economices                                                                                                 International HRM                                                                                                              Research methods                                

Undergraduate

1. Engineering management                                                                                            2. Mechanical Engineering                                                                            

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.

Membership of professional associations and societies

  • MCMI – Chartered Management Institute
  • Safety and reliability Society
  • Institude of RISK Management (IRM)
  • Operation Research Society 

Professional licences and certificates

 

Projects

Team member, the Gambian University of Science and engineering technology STEM Entrepreneurship program (Â鶹ӰԺ - USET)

Forthcoming events

 

Conference attendance

Operation research conference (OR64)                                                                           1. Asu, J. O. Hatami-Marbini, A., & Hafeez, K. (2022) 'Optimising risk mitigation strategies in the petroleum supply chain using Data Envelopement Analysis'. 

 Operation research conference (OR66)                                                                      2.   Asu, J. O. Hatami-Marbini, A., & Hafeez, K. (2024)   'A review of supply chain risk management trends and methods in petroleum supply chains: The position of data envelopment analysis'.

3. Â鶹ӰԺ Learning and Teaching Conference                                                                   Decolonisation of the African Educational system

PhD project

Title

Optimising Risk Mitigation Strategies in the Nigerian Petroleum Supply Chain Using Data Envelopment

ABSTRACT

Purpose: The complexity and vulnerability of the petroleum supply chain have pushed supply chain managers to source a more practical approach to supply chain risk management. Therefore, this thesis develops a comprehensive risk management framework to analyse 28 selected risk factors from Nigeria's petroleum supply chain. I divide the supply chain into three stages (supply, production, and distribution) to assess the risk in the internal structure. The proposed risk management framework for the Nigerian petroleum supply could support risk managers to understand the process, key indicators, and parameters for effectively measuring risk performance.

Design/methodology/approach: A mixed method research is considered in this thesis. The quantitative approach considered a survey questionnaire with a sample size of 172 and a response rate of 32%. Data envelopment analysis (DEA)-based approach is used to evaluate the importance of each risk factor and determine the best response strategy. Specific risk priority number (RPN) indicators of the Failure Mode and Effect Analysis (FMEA) are considered the 3 inputs (Severity, occurrence, and detectability). In addition, the three outputs are significant indicators in the oil industry (people, environment, and business continuity). The qualitative approach considered 8 interviews with top supply chain management personnel.

Findings: The findings show that the most critical risk factors in the Nigerian oil industry supply chain, in order of performance score (priority), include terrorist attacks (0.27), the explosion of road tankers (0.28), logistics (0.57), environmental (0.64). In terms of mitigation strategies, transfer, safety planning, alternative energy carriers, improved energy efficiency, emergency rescue plans, expected shortage, and diplomatic relations are among the best mitigation strategies.

Research contributions: This study provides a comprehensive risk management framework of the significant risks in the Nigerian petroleum supply chain. It shows how RPN indicators are applied in a DEA model to xviii simultaneously analyse the relationship between risks and their related impact measures. Originality/value: This thesis illustrates how RPN and DEA can be combined to analyse data for better decision-making and management. DEA integrated with RPN data to simultaneously prioritise supply chain risks, and their corresponding mitigation strategies is a novel idea. Although the findings relate to the Nigerian context, these can be readily adopted in other processing supply chains operating in different countries/regions for optimising risk mitigation strategies.

Keywords: Risk management; Petroleum supply chain; DEA; FMEA

 

 

ORCID number

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