An aerial view of Bay Campus, with the sea stretching into the horizon.

Dr Guoqing Zhao

Lecturer in Operations Management

Business

guoqing.zhao@swansea.ac.uk

Office 319 - 319
Third Floor
School of Management
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0009-0003-9537-9016

ResearchGate

Google Scholar

ResearcherID

About

Dr. Guoqing Zhao is a Lecturer in Operations Management. Guoqing’s research focuses on the areas of supply chain risk management, supply chain resilience, knowledge management, and industry 4.0 technologies and its implications on supply chain management. His work has been published in highly regarded journals including Computers in Industry, IEEE Transactions on Engineering Management, International Journal of Production Research, Production Planning & Control, International Journal of Entrepreneurial & Behavior Research, International Journal of Hospitality Management, International Food and Agribusiness Management Review, and among others.

Dr. Guoqing received a high citation award, conference attendance award, micro-media grant, Chinese Government award, and best paper award.

Currently, Dr. Guoqing serves as a track chair of IEEE International Symposium on Technology and Society (ISTAS23), Track 8: Intelligent Systems and Supply Chains for Sustainable Development and program committee of International Conference on Decision Support System Technology (2023)

Areas Of Expertise

Supply Chain Risk Management
Supply Chain Resilience
Knowledge Management
Qualitative/Quantitative Data Analysis
Cross-disciplinary Research

Career Highlights

Research

Dr. Guoqing Zhao has worked on several funded projects, including EU Horizon 2020 RUC-APS project (https://ruc-aps.eu/), European Regional Development Fund funded EPIC project (https://epicehealth.co.uk/), UK British Council funded project, and The UK Royal Society funded project. Therefore, Guoqing got opportunities to visit different countries across Asia, Europe, and South America to explore issues related to agri-food supply chains.

Award Highlights Collaborations

Publications

Research Highlights

Zhao, G., Vazquez‐Noguerol, M., Liu, S., & Prado‐Prado, J. (2024). Agri-food supply chain resilience strategies for preparing, responding, recovering, and adapting in relation to unexpected crisis: A cross-country comparative analysis from the COVID-19 pandemic. Journal of Business Logistics, 45(1)
https://doi.org/10.1111/jbl.12361, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64499
Zhao, G., Liu, S., Lopez, C., Chen, H., Lu, H., Mangla, S., & Elgueta, S. (2020). Risk analysis of the agri-food supply chain: A multi-method approach. International Journal of Production Research, 58(16), 4851-4876.
https://doi.org/10.1080/00207543.2020.1725684, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62345
Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. (2019). Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Computers in Industry, 109, 83-99.
https://doi.org/10.1016/j.compind.2019.04.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62349
Zhao, G., Liu, S., Lopez, C., Wang, Y., Lu, H., & Zhang, J. (2024). Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study. Annals of Operations Research, 338, 1241-1282.
https://doi.org/10.1007/s10479-024-06040-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66229
Pivoraite, G., Liu, S., Roh, S., & Zhao, G. (2024). Framework for Understanding Consumer Perceptions and Attitudes to Support Decisions on Cultured Meat: A Theoretical Approach and Future Directions. In Lecture Notes in Business Information Processing (pp. 109-125). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-59376-5_9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66296

All Research

Journal Articles

Zhao, G., Chen, X., Jones, P., Liu, S., Lopez, C., Leoni, L., & Dennehy, D. (2024). Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry. Information Systems Frontiers
https://doi.org/10.1007/s10796-024-10539-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66992
https://link.springer.com/article/10.1007/s10796-024-10539-1#citeas
Zhao, G., Ye, C., Dennehy, D., Liu, S., Harfouche, A., & Olan, F. (2024). Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process. Business Strategy and the Environment, 0
https://doi.org/10.1002/bse.3928, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67057
Zhao, G., Liu, S., Lopez, C., Wang, Y., Lu, H., & Zhang, J. (2024). Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study. Annals of Operations Research, 338, 1241-1282.
https://doi.org/10.1007/s10479-024-06040-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66229
Zhao, G., Xie, X., Wang, Y., Liu, S., Jones, P., & Lopez, C. (2024). Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach. Technological Forecasting and Social Change, 203, 123345
https://doi.org/10.1016/j.techfore.2024.123345, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65887
Chen, H., Liu, S., Zhao, G., Jayawickrama, U., & Wu, X. (2024). An Investigation of the Critical Factors That Influence Knowledge Mobilization Success in Agri-Food Supply Chains. Contemporary Economics, 18(1), 118-137.
https://doi.org/10.5709/ce.1897-9254.529, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66207
https://ce.vizja.pl/en/search/q/An+Investigation+of+the+Critical+Factors+That+Influence+Knowledge+Mobilization+Success+in+Agri-Food+Supply+Chains#art738
Olan, F., Spanaki, K., Ahmed, W., & Zhao, G. (2024). Enabling explainable artificial intelligence capabilities in supply chain decision support making. Production Planning and Control, 0, 1-12.
https://doi.org/10.1080/09537287.2024.2313514, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65709
Zhang, J., Huang, R., Huang, B., Xu, T., & Zhao, G. (2024). Employee Motivation and Outcomes of Developing and Maintaining High-Quality Supervisor–Subordinate Guanxi in Hotel Operations. Cornell Hospitality Quarterly, 0
https://doi.org/10.1177/19389655241226563, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65515
Zhao, G., Vazquez‐Noguerol, M., Liu, S., & Prado‐Prado, J. (2024). Agri-food supply chain resilience strategies for preparing, responding, recovering, and adapting in relation to unexpected crisis: A cross-country comparative analysis from the COVID-19 pandemic. Journal of Business Logistics, 45(1)
https://doi.org/10.1111/jbl.12361, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64499
Zhao, G., Chen, H., Liu, S., Dennehy, D., Jones, P., & Lopez, C. (2023). Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach. Journal of Business Research, 164, 114006
https://doi.org/10.1016/j.jbusres.2023.114006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63261
Zhao, G., Liu, S., Wang, Y., Lopez, C., Ong, A., & Chen, X. (2023). Reducing food waste from social innovation perspective: a review of measures, research gaps and future directions. International Food and Agribusiness Management Review, 26(2), 199-223.
https://doi.org/10.22434/ifamr2022.0006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62341
http://dx.doi.org/10.22434/ifamr2022.0006
Zhao, G., Suklan, J., Liu, S., Lopez, C., & Hunter, L. (2023). Does the transcultural problem really matter? An integrated approach to analyze barriers to eHealth SMEs’ development. International Journal of Entrepreneurial Behavior & Research, 30(2/3), 632-665.
https://doi.org/10.1108/ijebr-08-2022-0740, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62392
Zhang, J., Huang, R., Chen, Q., & Zhao, G. (2023). The relationships between supervisor-subordinate guanxi, perceived supervisor autonomy support, autonomous motivation, and employee job satisfaction: Evidence from international hotel chains in China. International Journal of Hospitality Management, 108, 103354
https://doi.org/10.1016/j.ijhm.2022.103354, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62340
Zhao, G., Liu, S., Elgueta, S., Manzur, J., Lopez, C., & Chen, H. (2022). Knowledge Mobilization for Agri-Food Supply Chain Decisions. International Journal of Decision Support System Technology, 15(2), 1-25.
https://doi.org/10.4018/ijdsst.315640, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62348
Zhao, G., Olan, F., Liu, S., Hormazabal, J., Lopez, C., Zubairu, N., Zhang, J., & Chen, X. (2022). Links Between Risk Source Identification and Resilience Capability Building in Agri-Food Supply Chains: A Comprehensive Analysis. IEEE Transactions on Engineering Management, 0, 1-18.
https://doi.org/10.1109/tem.2022.3221361, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62339
Zhang, J., Huang, R., Chen, Q., & Zhao, G. (2022). Post-pandemic outbound travel intentions and preparations of Chinese residents: The effects of media coverage and risk perception. Journal of Hospitality and Tourism Management, 51, 156-164.
https://doi.org/10.1016/j.jhtm.2022.03.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62343
Lu, H., Zhao, G., & Liu, S. (2022). Integrating circular economy and Industry 4.0 for sustainable supply chain management: a dynamic capability view. Production Planning and Control, 35(2), 170-186.
https://doi.org/10.1080/09537287.2022.2063198, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62344
Zhao, G., Liu, S., Wang, Y., Lopez, C., Zubairu, N., Chen, X., Xie, X., & Zhang, J. (2022). Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France. Production Planning and Control, 35(3), 283-307.
https://doi.org/10.1080/09537287.2022.2078246, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62342
Zhao, G., Hormazabal, J., Elgueta, S., Manzur, J., Liu, S., Chen, H., Lopez, C., Kasturiratne, D., & Chen, X. (2021). The impact of knowledge governance mechanisms on supply chain performance: empirical evidence from the agri-food industry. Production Planning and Control, 32(15), 1313-1336.
https://doi.org/10.1080/09537287.2020.1809023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62346
Lu, H., Mangla, S., Hernandez, J., Elgueta, S., Zhao, G., Liu, S., & Hunter, L. (2021). Key operational and institutional factors for improving food safety: a case study from Chile. Production Planning & Control, 32(14), 1248-1264.
https://doi.org/10.1080/09537287.2020.1796137, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62347
Liu, S., Zhao, G., Chen, H., Fernandez, A., Torres, D., Antonelli, L., Panetto, H., & Lezoche, M. (2021). Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains. Acta Horticulturae(1311), 185-200.
https://doi.org/10.17660/actahortic.2021.1311.24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62373
Zhao, G., Liu, S., Lopez, C., Chen, H., Lu, H., Mangla, S., & Elgueta, S. (2020). Risk analysis of the agri-food supply chain: A multi-method approach. International Journal of Production Research, 58(16), 4851-4876.
https://doi.org/10.1080/00207543.2020.1725684, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62345
Boshkoska, B., Liu, S., Zhao, G., Fernandez, A., Gamboa, S., Pino, M., Zarate, P., Hernandez, J., & Chen, H. (2019). A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. Computers in Industry, 110, 64-80.
https://doi.org/10.1016/j.compind.2019.04.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62350
Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. (2019). Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Computers in Industry, 109, 83-99.
https://doi.org/10.1016/j.compind.2019.04.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62349
Zhao, G., Liu, S., Lu, H., Lopez, C., & Elgueta, S. (2019). Building theory of agri-food supply chain resilience using total interpretive structural modelling and MICMAC analysis. International Journal of Sustainable Agricultural Management and Informatics, 4(3-4), 235
https://doi.org/10.1504/ijsami.2018.10020635, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63042
http://dx.doi.org/10.1504/ijsami.2018.10020635
Elgueta, S., Valenzuela, M., Fuentes, M., Meza, P., Manzur, J., Liu, S., Zhao, G., & Correa, A. (n.d.) Pesticide Residues and Health Risk Assessment in Tomatoes and Lettuces from Farms of Metropolitan Region Chile. Molecules, 25(2), 355
https://doi.org/10.3390/molecules25020355, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63047
http://dx.doi.org/10.3390/molecules25020355
Chen, H., Liu, S., Zhao, G., Oderanti, F., Guyon, C., & Boshkoska, B. (n.d.) Identifying knowledge brokers, artefacts and channels for waste reduction in agri-food supply chains. International Journal of Sustainable Agricultural Management and Informatics, 4(3/4), 273
https://doi.org/10.1504/ijsami.2018.099238, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63046
http://dx.doi.org/10.1504/ijsami.2018.099238

Conference Contributions

Pivoraite, G., Liu, S., Roh, S., & Zhao, G. (2024). Framework for Understanding Consumer Perceptions and Attitudes to Support Decisions on Cultured Meat: A Theoretical Approach and Future Directions. In Lecture Notes in Business Information Processing (pp. 109-125). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-59376-5_9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66296
Zhao, G., Zhao, G., Zubairu, N., Chen, X., Olan, F., Dennehy, D., & Jones, P. (2024). Understanding Supply Chain Resilience as a Multi-level Framework: A Systematic Literature Review. In Lecture Notes in Business Information Processing (pp. 3-14). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-59376-5_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66295
Zhao, G., Jones, P., Liu, S., Lopez, C., Dennehy, D., & Chen, X. (2023). Analysis of the Drivers of Industry 4.0 Technology Deployment to Achieve Agri-food Supply Chain Sustainability: A Hybrid Approach. In 2023 IEEE International Symposium on Technology in Society (ISTAS) Proceedings, Swansea University, Swansea, Wales, September 13-15 2023
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64294
Zhao, G., Liu, S., Chen, H., Lopez, C., Hernandez, J., Guyon, C., Iannacone, R., Calabrese, N., Panetto, H., Kacprzyk, J., & Alemany, M. (2019). Value-Chain Wide Food Waste Management: A Systematic Literature Review. In Decision Support Systems IX: Main Developments and Future Trends (pp. 41-54). Springer International Publishing.
https://doi.org/10.1007/978-3-030-18819-1_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62374
Zhao, G., Liu, S., & Lopez, C. (2017). A Literature Review on Risk Sources and Resilience Factors in Agri-Food Supply Chains. In Collaboration in a Data-Rich World (pp. 739-752). Springer International Publishing.
https://doi.org/10.1007/978-3-319-65151-4_66, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62371
Zhao, G., , X., Liu, S., & , X. (n.d.) The application of digital technologies in the agri-food supply chain of China: enablers identification and prioritization. In 9th International Conference on Decision Support System Technology (pp. 131-139).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63528
https://icdsst2023.files.wordpress.com/2023/05/actes_imt_icdsst2023_v3.pdf

Supervision

Exploring the role of Artificial Intelligence to enable resilient agri-food supply chains: A multi-case analysis (current)

PhD

Other supervisor: Prof Yogesh Dwivedi

Other supervisor: Prof Denis Dennehy

Taught Modules

MN-M534 Business Analytics

Business analytics as applied to big data is a game-changing opportunity for business practice. The last decade has seen an explosion in the volume of data collected by business and government ¿ providing opportunities to analyse behaviours at individual and macro- levels. The purpose of this module is to inform students as to the major concepts of business analytics ¿ both in theory and in practice from a strategic perspective.

Other Roles

EPIC Research fellow , University of Plymouth

2021 - 2023