Pervaiz Akhtar UNI-3258

Professor Pervaiz Akhtar

Professor of Management Systems

Faculty of Business, Law and Politics

01482 347518

Director, BSc Logistics and Supply Chain Management / Director, MSc Business Analytics/Digital Integration / Moderator and Advisor (University of Sheffield, Grimsby Institute, University College Doncaster, Lincoln College and Wakefield College)

Dr Pervaiz Akhtar is a Professor of Management Systems at Hull University Business School (UK). He holds external/visiting professorships in Big Data and Analytics/Management Science, IESEG (France) and Abasyn University (Pakistan). He is also the Member of the Academic Executive Council.

Professor Akhtar regularly publishes in elite journals and provides research leadership — setting a phenomenal research record (see his publications). His expertise encompasses a vast range of specialised domains from Business Analytics, Big Data Science, Operations Management, and innovative Research Methods to Supply Chain Planning and Control.

Capitalising on over 15 years of academic and industrial experiences, Professor Akhtar has excellently integrated informatics, analytics and big data applications in undergraduate and postgraduate programmes — bridging the gap between academic practices and industrial requirements. He has served as a Programme Director for multiple Programmes and is also acting as an external advisor for MBA, MSc and BA Programmes, University of Sheffield. His leadership has delivered excellent teaching outcomes and he has led administrative and mentoring activities proficiently.

Professor Akhtar emphasises the applications of Big Data Analytics, Modelling, Information Technology and Informatics to optimise operational performance, supply chains and business value.


Research Interests

Professor Akhtar’s research interests and current projects include:

  • Business applications of the Internet of things and big data analytics

  • Building resilient data and information processing capabilities for operational agility

  • Optimization, simulation, risk management and operational sustainability

  • Network analysis, social media and their applications in supply chains/logistics/transportation

  • The role of technology (e.g., the Internet of Things, drones technology, RFID, cloud computing and ERP/SAP) in humanitarian and non-humanitarian operations

  • Quantifying risk and optimising performance

  • Research methodologies and techniques (e.g., the analytic hierarchy process and analytic network process, network analysis, structural equation modelling, partial least square, multiple regression, multi-level modelling, machine learning methods, methodological urban legends and challenges, experimental research design, qualitative comparative analysis, case studies and operational research techniques)

Research groups

Professor Akhtar works on multiple projects with more than 20 companies and universities worldwide (e.g., United Kingdom, United States, Canada, Australia, New Zealand, India, Malaysia, Pakistan and Europe).

◾Working as a co-investigator (CI) and leading the data-science aspects of the project, Liverpool–Humber Optimisation for Freight Transport (£2 million: 2017-2019)

◾Impacts of the Good Practice Exchange Function of the Wales Audit Office - £20,000: 2015-2016 (CI)

◾Grants for conducting research in agrifood chains and attending conferences (approximately $33,000, 2009 – 2015)

◾Research grant to investigate NZ agrifood chains ($7, 000, 2011)

◾Venture-Trust Agricultural Policy Research Grant ($4,000, 2010)


Akhtar P, Khan Z, Frynasc J, Tse Y, Rao-Nicholson R (2018). 'Essential Micro-Foundations for Contemporary Business Operations: Top Management Tangible Competencies, Relationship-based Business Networks and Environmental Sustainability', British Journal of Management, [ABS 4*; impact factor= 2.188; ABCD = A].

Ullah, S, Akhtar, P, Zaefarian, G (2018).Dealing with endogeneity: the generalized method of moments, Industrial Marketing Management – Methodology. [ABS 3*; impact factor = 4.402; ABCD = A*]

Akhtar P, Khan Z, Tarba S, Jayawickrama U (2017), 'The Internet of Things, Dynamic Data and Information Processing Capabilities and Operational Agility', Technological Forecasting and Social Change, [ABS 3*; impact factor= 3.005; ABCD = A]

Akhtar P, Tse Y K, Khan Z, Rao-Nicholson R (2016), 'Data-Driven and Adaptive Leadership Contributing to Sustainability: Global Agri-Food Supply Chains Connected with Emerging Markets', International Journal of Production Economics, 181 (part B) 392–401. [ABS 3*; impact factor= 3.548; ABCD = A*]

Akhtar P, Khan Z, Rao-Nicholson R, Zhang M (2016), 'Building Relationship Innovation in Global Collaborative Partnerships: Big Data Analytics and Traditional Organizational Powers', R&D Management, [ABS 3*; impact factor=1.19; ABCD = A]

Full list


Programmes taught on (2019)

Modules list

  • Business Analytics

  • Data Science

  • Information Management and Big Data

  • Supply Chain Analytics

  • Text Mining and Machine Learning

  • Network Analysis

  • Modelling and Analysis

  • Decision Making Techniques for Logistics and Supply Chain Management

  • Multivariate Analysis

  • Logistics Technology

  • Operations Management

  • Enterprise Systems Enterprise Systems and Business Intelligence/SAP

  • Supply Chain Planning and Control (optimization, simulation and other quantitative tools for measuring quality)

  • Procurement & Supply Chain Management

  • Business Project Management

Research PhDs

PhD students are strongly encouraged to apply for their studies, particularly those who are willing to modify their research proposals and incorporate Professor Akhtar’s research interests (see details under the tap - "research interests").

Completed PhDs 

S. Ahmed – methodological advisor

Current PhD supervisions 

  • D. Yang: Big data analytics for evidence-based decision making (first supervisor)

  • F. San: Optimisation of automated food manufacturing: Malaysian SMEs (first supervisor)

  • M. Khan: The impact of terrorism on logistics and supply chain sustainability (co-supervisor)

Teaching awards and accolades

  • Senior Fellow of UK Higher Education

  • Postgraduate Certificate in Academic Practice/Fellow of UK Higher Education

Professional highlights

Academic qualifications

  • PhD, Operations/SC Management

  • MSc, Logistics and Supply Chain Management

  • Masters of Business Administration (MBA)

  • BSc, double major in Mathematics and Statistics

  • F.CS, Mathematics, Statistics and Computing

Lifelong learning

2018 – 2018   Certification in Risk Quantification/Optimisation and Simulation

2018 – 2018   Advanced Econometric Analysis using Panel Data (Stata)

2016 – 2016   Programming Foundations (Duke University, USA - Coursera)

2016 – 2016   SAP Business Analytics, Germany

2012 – 2012   Advanced Structural Equation Modelling using Mplus

                        The New Zealand Social Statistics Network

2006 – 2007   English for Business (part time), Hull University, UK

2004 – 2004   Computer Troubleshooting (part time)

2000 – 2001   Computer Applications (part time)

External roles

Visiting Professor of Big Data and Analytics, IESEG School of Management (France)

Visiting Professor of Management Science/Operations Management, Abasyn University (Pakistan)

External examiner for MBA, MSc and BA Programmes - the University of Sheffield

External examiner for other institutions: Grimsby Institute, University College Doncaster, Lincoln College and Wakefield College

Research workshops attended or co-organised:

Keynote and guest lectures:

Partnerships and collaborations

Professional affiliations:

Association for Computing Machinery

British Academy of Management

Centre for the Advancement of Research Methods and Analysis

Problem solving Australasian Research Management Society 

Reviews and member of scientific committees:

  • Research Policy

  • European Journal of Operations Research

  • British Journal of Management

  • International Journal of Production EconomicsProduction, Planning and Control

  • Enterprise Information Systems (Guest Editor)
  • Tékhne - Review of Applied Management Studies (Editorial Board)

  • Journal of Humanitarian Logistics and Supply Chain Management

  • Journal of Business Research

  • R&D Management

  • Expert Systems With Applications

  • Journal of Knowledge Management (Editorial Board)

  • Abasyn Journal of Social Sciences (Editorial Board)

Awards and accolades

  • Quantitative Risk Management (£2160, May 2018)

  • Pump-priming (£600, 2017)

  • Working as a co-investigator and leading the data science and analytical aspectsof a complex project - optimising multimodal freight transport on the Mersey Humber Corridor (2017-2019, £2million)

  • Black Grass & Crop Productivity Project using Spatial Data (2017, £51,300 from Higher Education Innovation Fund + £25, 000 from Natural Environment Research Council), working as a team member/co-investigator with the School of Environmental Sciences and Management Systems.

  • Working as a joint-investigator and leading data analytical aspects for the review of the Impact of the Good Practice Exchange Function, Wales Audit Office (2015-2016, £19,782).

  • Grants to quantify selected import and export supply chain networks (approximately $33,000, 2009 – 2015), Principal Investigator

  • Winner of Outstanding Research Award, Global IBFR, Las Vegas, USA, January 2013

  • Research grant to quantify NZ agrifood supply chains, Principal Investigator ($7, 000, 2011)

  • Venture-Trust Agricultural Policy Research Fund, Principal Investigator ($4,000, 2010)

  • Successfully completed (as project manager/logistics manager) NGO’s project, Principal Investigator ($200,000, 2005-2006)

  • Diploma/Masters of Science (diploma 1st & MSc high 2:1)

  • Bachelor of Science (Double Major in Mathematics and Statistics, 1st)

  • Faculty of Science (Major in Computing, Mathematics and Statistics, 1st)

Professional highlights

He has attracted sponsorships from leading organisations and has had publications in top-ranked journals (Research Policy, International Journal of Operations & Production Management, British Journal of Management, Journal of Business Ethics, Transportation Research Part A: Policy and Practice, International Journal of Production Economics, Annals of Operations Research, Industrial Marketing Management, Supply Chain Management: An International Journal, Production, Planning and Control, Technological Forecasting and Social Change, R&D Management, Telematics and Informatics, Computers & Industrial Engineering, among others). He has conducted research projects on:

  • Big data teams’ skills, big data-driven actions and business performance

  • the 'internet of things', modern dynamic data and information processing capabilities and operational agility

  • building resilient data and information processing systems for humanitarian organizations: healthcare and food operations

  • big data analytics and prerequisite skills for contemporary business graduates

  • data-driven leadership and its impacts

  • global agri-food supply chains and sustainability

  • links between advanced technological platforms (e.g., EDI, ERP), chain coordinators’ roles (CEO and managing directors) and the effectiveness of supply chain coordination or sustainability (i.e., operational, social, environmental and financial dimensions) in humanitarian organisations and private companies.

Dr Akhtar utilises various software for his research and teaching – AMOS, Mplus, SmartPLS, R/RStudio (network analysis, text mining and machine learning techniques), Risk Simulator, Gephi, SAS Enterprise Miner, SPSS, Minitab, SuperDecisions, Nvivo, Freeplane, Mind Mapping and Microsoft Office.

The examples of his tangible skills encompass - unstructured data mining, analytic network process, network analysis, machine learning/big data/data science techniques (e.g. neural works, cluster analysis and basket analysis), time series analysis, multi-level modelling and panel/longitudinal data handling, data cleansing, data quality checks, moderating and mediating analysis, big data analytics, structural equation modelling, partial least square, multiple regression, logistic regression, discriminant analysis, endogeneity solutions, dealing with urban legends, queuing modelling, forecasting, inventory modelling, simulation, optimisation, six-sigma applications, qualitative comparative analysis, among others

Professor Akhtar has incorporated modern data-driven and machine learning for contemporary business students, who focus on technology-oriented learning (e.g., SAP applications and evidence-based decision making using analytical insights from complex structured and unstructured datasets). He lectures on many PhD, masters, executive and undergraduate programmes: Business Analytics, Data Science, Text Mining and Machine Learning, Network Analysis, Multivariate Analysis, Logistics Technology, Supply Chain Analytics, Information Management and Big Data, Operations Management, Enterprise Systems and Business Intelligence/SAP, Supply Chain Planning and Control (optimization, simulation and other quantitative tools for measuring quality), Procurement & Supply Chain Management and Business Project Management. He previously taught postgraduate and undergraduate students at Massey University - New Zealand. He started his teaching career in 2001, when he trained undergraduate students in Statistics, Mathematics and Research Methods. He has also worked for (or with) non-profit and for-profit organizations (United Nations International Children's Emergency Fund, Japan Centre for Conflict Prevention, Oxfam, Médecins Sans Frontières, Peace, Japan Platform, Islamic Relief, Red Cross, high government officials, dairy industry, FMCG companies like Unilever and Reckitt Benckiser) at senior management levels (operations/logistics/project manager). He has also taught short courses and industrial training programmes.