AIM Lab Collection

2025

Arabi, H.S., Amoozad, M.H., Pang, G. and Yildiz, H. 2025. The role of artificial intelligence in shaping international marketing strategies: current advances and future pathways. International Marketing Review, forthcoming.

Dai, Y., Liu, B., Tong, C., Carslaw, D.C., MacKenzie, A.R. and Shi, Z., 2025. Rethinking machine learning weather normalisation: a refined strategy for short-term air pollution policies. Atmospheric Chemistry and Physics, 25(20), pp.13585-13596.

Huang, D., Zhan, Y. and Lonsdale, C. 2025. Utilising Artificial Intelligence to Enhance Firm Circular Economy Maturity: A thematic review via machine learning, Business Strategy and the Environment, 34 (5), pp.6135-6158.

Jiang, Y., Cai, Z., & Wang, X., 2025. Leverage Generative AI for Human Resource Management: Integrated Risk Analysis Approach. International Journal of Human Resource Management, 36 (11), 1929–1959.

Li, Y. 2025. Digital Transformation under Soft Lean: Case Studies of the Automotive Sector. PhD Thesis, University of Birmingham.

Li, X., Stevenson, M. 2025. From Competition to Cooperation and Back: Reversed Coopetition for Sustainable Technology Ecosystems. AIM Lab Working paper.

Li, X., Tiwari, S. 2025. Coopetition Inverted: Strategic Trade-offs in Shared Resource and Product Ecosystems. AIM Lab Working paper.

Li, X., Stevenson, M. 2025. One Way or Another - AI in Management. AIM Lab Working Paper.

Li, Z, Li, Y., Zhou, J. and Ye, F. and Zhan, Y. 2025. How AI-generated Summaries of Reviews is Reshaping E-commerce with Competing Retailers? IEEE Transactions on Engineering Management, DOI: 10.1109/TEM.2025.3637769.

Lin, Y., Pang, G., Duan, K., Luo, J. and Wang, S. 2025. The impacts of digital and learning orientation on supply chain resilience. Industrial Management & Data Systems, 125(2), 535-574.

Onyeaka, H., Akinsemolu, A., Miri, T., Nnaji, N.D., Duan, K., Pang, G., Tamasiga, P., Khalid, S., Al-Sharify, Z.T. and Chineye, U. 2025. Artificial intelligence in food system: innovative approach to minimizing food spoilage and food waste. Journal of Agriculture and Food Research, 21, 101895.

Qian, J., Wynn, T., Liu, B., Shan, Y., Bartington, S.E., Pope, F.D., Dai, Y. and Shi, Z., 2025. Enhancing Accuracy of Indoor Air Quality Sensors via Automated Machine Learning Calibration. EGUsphere, 2025, pp.1-20.

Shi, X., Y. Zhang., Shi, J. and Zhu, K. 2025. A review of artificial intelligence in Manufacturing: Technologies, applications and implications. AIM Lab Working paper.

Tong, C., Dai, Y., Cole, M., Elliott, R.J., Bartington, S.E., Liu, B. and Shi, Z., 2025. Further improvement in London’s air quality demands more than the Ultra Low Emission Zone policy. npj Clean Air, 1(1), p.29.

Wang, Y., Ji, J., Zhang, M., and Wang, X. 2025. Does workforce diversity, equity, and inclusion prevent patient safety incidents: a double machine learning approach. Journal of the Association for Information Systems, 26 (3), 729-759.

Wheatley, D., Michaelides, G., del Mar Grandio Perez, M. 2025. Development of a scale measuring AI use and perceptions. AIM Lab Working Paper.

Xiong, H, Zhang, C, Lin, Y, Yan, H & Xu, Y 2025, Can AI streamers’ perseverance and exceptional intelligence overcome KOLs’ viewership moat? International Journal of Information Management, vol. 87, 103005. https://doi.org/10.1016/j.ijinfomgt.2025.103005

Zhang, Y., Wang, X., Tarba, S. and Neely, A. 2025. Transformative Process Characteristics of Digital Innovation: The Human-AI Decision Spectrum. AIM Lab Working Paper.

Zhang, Y. 2025. Artificial Intelligence in Operation Management. Pearson, forthcoming.

2024

Dai, Y., Liu, B., Tong, C. and Shi, Z., 2024. Aqpet- An R package for air quality policy evaluation. Environmental Modelling & Software, 177, p.106052.

Duan, K., Onyeaka, H., Pang, G. and Meng, Z. 2024. Pioneering food safety: blockchain’s integration in supply chain surveillance. Journal of Agriculture and Food Research, 18, 101281.

Man, L., Lin, Y., Pang, G., Sanderson, J. and Duan, K. 2024. Digitalization to achieve greener healthcare supply chain. Journal of Cleaner Production, 463, 142802.

Onyeaka, H., Akinsemolu, A., Miri, T., Nnaji, N.D., Emeka, C., Tamasiga, P., Pang, G. and Al-Sharify, Z. 2024. Advancing food safety: the role of machine learning in pathogen detection. Applied Food Research, 4(2), 100532.

Zhan, Y., Xiong, Y., Han, R., Lam, K.S. and Blome, C. 2024. The impact of artificial intelligence adoption for business-to-business marketing on shareholder reaction: A social actor perspective. International Journal of Information Management, p.102768.

2023

Liu, B., Bryson, J.R., Sevinc, D., Cole, M.A., Elliott, R.J., Bartington, S.E., Bloss, W.J. and Shi, Z. 2023. Assessing the impacts of Birmingham’s clean air zone on air quality: Estimates from a machine learning and synthetic control approach. Environmental and Resource Economics, 86(1), pp.203-231.

Song, C., Liu, B., Cheng, K., Cole, M.A., Dai, Q., Elliott, R.J. and Shi, Z. 2023. Attribution of air quality benefits to clean winter heating policies in China: Combining machine learning with causal inference. Environmental science & technology, 57(46), pp.17707-17717.

Xu, X. 2023. The Digital Transformation in Health Service Supply Chains from the Perspective of Patient Co-creation. PhD Thesis, University of Birmingham.

Yang, Z., Zhang, Y. and Zhang, T. 2023. Leveraging Digitalization and Servitization to Improve Financial Performance. Journal of Production Planning and Control, In press https://doi.org/10.1080/09537287.2023.2229263

2022

Hou, L., Dai, Q., Song, C., Liu, B., Guo, F., Dai, T., Li, L., Liu, B., Bi, X., Zhang, Y. and Feng, Y., 2022. Revealing drivers of haze pollution by explainable machine learning. Environmental Science & Technology Letters, 9(2), pp.112-119.

Ye, F., Qian, X., Zhang, M., Zhan, Y. and Li, Y. 2022. Harvesting Online Reviews for Identifying Competitor Set: A study of the Chinese Hotel Industry. Journal of Service Research, 25 (2), 301-327.

Wang, J., Zhang, Y., Xing, X., Zhan, Y., Chan, W.K.V. and Tiwari, S. 2022. A data-driven system for cooperative-bus route planning based on generative adversarial network and metric learning. Annals of Operations Research, pp.1-27.

2021

Han, R., Lam, K.S., Zhan, Y., Wang, Y., Dwivedi, Y.K. and Tan, K.H. 2021. Artificial Intelligence in Business-to-Business Marketing: A Bibliometric Analysis of Current Research Status, Development and Future Directions. Industrial Management and Data Systems, Vol. 121 No.12, pp. 2467-2497.

Shi, Z., Song, C., Liu, B., Lu, G., Xu, J., Van Vu, T., Elliott, R.J., Li, W., Bloss, W.J. and Harrison, R.M., 2021. Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns. Science advances, 7(3), p. 6696.

Zhang, Y. 2021. Digital Transformation: Operations Capability and the Micro-foundations. EurOMA2021, Berlin.