Dr Gu Pang

Dr Gu Pang

Department of Management
Associate Professor in Procurement and Operations Management

Contact details

Birmingham Business School
University House
University of Birmingham
B15 2TT

Gu is the Head of the Procurement and Operations Management Group. She joined Birmingham Business School in January 2018.

Google Scholar Profile


  • Fellow of the Higher Education Academy
  • PhD, Nottingham University Business School
  • MSc, Operations Management, Nottingham University Business School         
  • BSc, Management Science, Lancaster University Management School


The role as an educator enables Gu to promote a student-centred learning environment promoting self-sufficient learners. Gu believes the experience of teaching and the journey of learning enrich educators and learners to explore countless opportunities.

As a researcher, Gu has established a close working relationship with colleagues in operations, marketing, systems and economics. This has enabled her to conduct multi-disciplinary research and to explore new research areas, including big data analysis, digital transformation, and blockchain technology.


  • Exec MBA (UK) Operations Management
  • BSc Business Management Managing Operations and Projects (Year 2)

Postgraduate supervision

Gu is the lead supervisor of:

  • Yeun Soo Park (PhD candidate, Oct 2020- ) The impact of buyers’ bidding dynamics on sellers’ pricing strategy
  • Keru Duan (PhD candidate, Oct 2022- ) The impact of Blockchain technology on digital transformation

Gu is the co-supervisor of

  • Duoxu Fang (PhD candidate, Oct 2022- )

Gu welcomes PhD applicants who are interested in: blockchain technology, digital transformation, remanufacturing, reverse logistics, closed-loop supply chains, sustainable supply chains, international logistics, sustainability of food value chains, transportation, optimisation, modelling, time series econometrics.

For informal discussion, please forward your email to g.pang.1@bham.ac.uk

PhD Completion

Dr Supanan Phantratanamongkol (July 2020). Thesis: Price dynamics, profit potential, and cannibalisation effect of remanufactured smartphones: empirical study using eBay data.


Blockchain technology, digital transformation, remanufacturing, reverse logistics, closed-loop supply chains, sustainable supply chains, international logistics, sustainability of food value chains, transportation, optimisation, modelling, time series econometrics.

Research Projects

  • EU Horizon 2020 Project VALUMICS on understanding food value chains and network dynamics Proposal No. 727243-2 VALUMICS, 48 months duration, €318,555, completed in May 2020.
  • ESRC Knowledge Transfer Partnership with Byker Community Trust on sustainable and strategic marketing strategy, brand development and management of change, 24 months duration, £130,000, completed in July 2020.


  • Esfahbodi, A., Pang, G., Peng, L., (2022), Determinants of Consumers’ Adoption Intention for Blockchain Technology in Ecommerce, Journal of Digital Economy, 1: 89-101.
  • Gorton, M., Aditjandra, P., Pang, G., Ojo, M., Hubbard, C., (2021), Food industry business profitability, VALUMICS, European Union’s Horizon 2020 research and innovation programme under grant agreement No 727243. Available at https://valumics.eu/wp-content/uploads/2021/09/VALUMICS_food-industry-business-profitability2_MG.pdf
  • De, A., Aditjandra, P., Pang, G., Hubbard, C., Gorton, M., Thakur, M., Samoggia, A., (2019), Environmentally conscious transportation and logistics modelling for agri-food supply chains, the EU Conference on Modelling for Policy support: Experiences, challenges and the way ahead, 26-27 November 2019, Brussels. Available at https://eprints.ncl.ac.uk/file_store/production/263811/9EC4E094-B48D-46C8-BA58-CBA6DD930475.pdf
  • Phantratanamongkol, S., Casalin, F., Pang, G., Sanderson, J., (2018), The price-volume relationship for new and remanufactured smartphones, International Journal of Production Economics, 199: 78-94.
  • Casalin, F., Pang, G., Maioli, S., Cao, T., (2017), Inventories and the concentration of suppliers and customers: evidence from the Chinese manufacturing sector, International Journal of Production Economics, 193: 148-159.
  • Pang, G., Gebka, B., (2017), Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia, International Journal of Production Research, 55: 2454-2469.
  • Pang, G., Casalin, F., Papagiannidis, S., Muyldermans, L., Tse, Y.K., (2015), Price determinants for remanufactured electronic products: a case study on eBay UK, International Journal of Production Research, 53: 572-589.
  • Muyldermans, L., Pang, G., (2014), “Variants of the Capacitated Arc Routing Problem”., In: Corber, A. and Laporte, G. (eds.) Arc Routing: Problems, Methods, and Applications. MOS-SIAM Series on Optimization. Philadelphia: SIAM, pp. 221-251.
  • Ting, S.L., Tse, Y.K., Ho, G.T.S., Chung, S.H., Pang, G., (2014), Mining logistics data to assure the quality in sustainable food supply chain: a case in red wine industry, International Journal of Production Economics, 152: 200-209.
  • Ramanathan, U., Bentley, Y.M., Pang, G., (2014), The role of collaboration in the UK green supply chains: an exploratory study of the perspectives of suppliers, logistics and retailers, Journal of Cleaner Production, 70: 231-241.
  • Pang, G., Muyldermans, L., (2013), Vehicle routing and the value of postponement, Journal of the Operational Research Society, 64: 1429-1440.
  • Muyldermans, L., Pang, G., (2010), On the benefits of co-collection: experiments with a multi-compartment vehicle routing algorithm, European Journal of Operational Research, 206: 93-103.
Muyldermans, L., Pang, G., (2010), A guided local search procedure for the multi-compartment capacitated arc routing problem, Computers & Operations Research, 37: 1662-1673.

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