Pervaiz Akhtar UNI-3258

Dr Pervaiz Akhtar

Reader in Management Systems

Faculty of Business, Law and Politics

Hull University Business School

01482 347518

Dr Pervaiz Akhtar is a Reader in Management Systems and Logistics at the Hull University Business School. He is also an External Professor in Big Data and Analytics, IESEG School of Management (France).

His expertise encompasses a vast range of specialised domains from Business Analytics and Data Science to Supply Chain Planning and Control.

Capitalising on over 15 years of academic and industrial experiences, Dr Akhtar has outstandingly 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/Programme Leader and is also acting as an external examiner for MBA, MSc and BA Programmes, University of Sheffield.


Research Interests

  • Business applications of the 'internet of things', big data analytics, text mining and data science

  • Building resilient data and information processing capabilities for operational agility

  • Optimisation, simulation and operational sustainability

  • Network analysis 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)

  • Quantifying performance with quality

  • 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, case studies and operational research techniques)

Research groups

◾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 (2017). '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], Open Access.

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] - DOI: 10.1111/radm.12253.

Tse Y K, Zhang M, Akhtar P, and MacBryde J (2016), 'Embracing Supply Chain Agility: an Investigation in the Electronics Industry', Supply Chain Management: An International Journal, 21(1), 140–156. [ABS 3*; impact factor= 4.072; Cite-score=4.48; ABCD = A]

Full list


Programmes taught on (2018)

Programmes taught on (2019)

Modules list

  • 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

  • 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 Dr Akhtar’s 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 (first supervisor)

◾S. GAD, Assessing Risk Management Techniques for Dairy Products (first supervisor)

◾M. Khan, The Impact of Terrorism on Logistics and Supply Chain Sustainability (co-supervisor)


Teaching awards and accolades

  • Fellow of the Higher Education Academy/Postgraduate Certificate in Academic Practice

  • Senior Fellowship in process (2017-2017)

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

External roles

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

External examiner for MBA, MSc and BA Programmes - the University of Sheffield; external examiner for other institutions: Doncaster, Grimsby, Lincoln.

Reviews and member of scientific committees:

  • Tékhne - Review of Applied Management Studies

  • Journal of Humanitarian Logistics and Supply Chain Management

  • International Journal of Production Economics

  • Production Planning & Control

  • Journal of Business Research

  • The International Journal of Human Resource Management

  • R&D

  • International Studies of Management & Organization

Workshops and training:

◾2016, September 5 –9. The 21st SAP Academic Conference and Workshop, Germany.

◾2015, July 7th (full day). Food and Drink IT Summit.

◾2015, July 1 (half day). Big Data Analytics. 

◾2014, Jun 17-20. The Workshops on Algorithms for Modern Massive Data Sets (MMDS), University of California, Berkeley

◾2014, 15 July 2014 (full day). Making Connections with Big Data

Professional highlights

Dr Akhtar received an Outstanding Research Award from Global IBFR - USA. He has also received the Venture Trust Postgraduate Scholarship in Agricultural Policy Research, PhD Research Scholarship, data collection funding and international conference grants.

He has attracted sponsorships from leading organisations and has had publications in top-ranked journals (British Journal of Management, International Journal of Production Economics, Supply Chain Management: An International Journal, Technological Forecasting and Social Change, R&D Management, International Journal of Human Resource Management, among others),

He has conducted research projects on
◾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

◾the 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), 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, among others