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Professor Kim Tan's Outputs (9)

The future of the food supply chain: a systematic literature review and research directions towards sustainability, resilience, and technology adoption (2023)
Journal Article
Su, I.-H., Wu, L., & Hua Tan, K. (2023). The future of the food supply chain: a systematic literature review and research directions towards sustainability, resilience, and technology adoption. Journal of Digital Economy, 2, 303-316. https://doi.org/10.1016/j.jdec.2024.03.001

In recent years, our food supply chain facing various disruptions shows a need for higher resilience and sustainability. To better prepare for future uncertainties the food supply chain may encounter, it is imperative to understand the status quo of... Read More about The future of the food supply chain: a systematic literature review and research directions towards sustainability, resilience, and technology adoption.

Digitalization and network capability as enablers of business model innovation and sustainability performance: the moderating effect of environmental dynamism (2023)
Journal Article
Li, Y., Cui, L., Wu, L., Lowry, P. B., Kumar, A., & Tan, K. H. (2023). Digitalization and network capability as enablers of business model innovation and sustainability performance: the moderating effect of environmental dynamism. Journal of Information Technology, 39(4), 687 - 715. https://doi.org/10.1177/02683962231219513

In the face of relentless global competition and regulatory pressures, the imperative for firms to digitally transform has become critical. This is particularly salient for Chinese manufacturing firms as they strive for sustainability, a multidimensi... Read More about Digitalization and network capability as enablers of business model innovation and sustainability performance: the moderating effect of environmental dynamism.

Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection (2023)
Journal Article
Gunawan, I., Trihastuti, D., Kumar, A., & Tan, K. H. (2023). Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection. Annals of Operations Research, https://doi.org/10.1007/s10479-023-05513-0

This article explores the application of goal programming (GP) for improving tactical decision-making in supply chains. GP demonstrates flexibility to be integrated with other Multi-Criteria Decision Making (MCDM) methods such as Decision-Making Tria... Read More about Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection.

A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem (2023)
Journal Article
Pitakaso, R., Sethanan, K., Tan, K. H., & Kumar, A. (2023). A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem. Annals of Operations Research, https://doi.org/10.1007/s10479-023-05398-z

This research focuses on the development of a novel artificial multiple intelligence system (AMIS), which is more flexible and effective than existing techniques for determining vegetable crop land allocation. Eight intelligence boxes (IBs) have been... Read More about A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem.

The S curve: A dynamic view of in ERP evaluation (2023)
Journal Article
Wu, L.-H., Rushikesh Ulhas, K., Tan, K. H., & Wu, L. (2023). The S curve: A dynamic view of in ERP evaluation. Engineering Economist, https://doi.org/10.1080/0013791X.2023.2209080

Most the previous Enterprise resource planning (ERP) works that used real options to evaluate investments are based on the closed-formed basis. A closed formed problem, such as financial assets with predefined exercise price and typical underlying as... Read More about The S curve: A dynamic view of in ERP evaluation.

The viewer value co-creation process on sports live streaming platforms (2023)
Journal Article
Liu, H., & Tan, K. H. (2023). The viewer value co-creation process on sports live streaming platforms. Industrial Management and Data Systems, 123(5), 1523-1547. https://doi.org/10.1108/imds-04-2022-0251

Purpose-The Sports Live Streaming Platforms (SLSPs) have taken centre stage in broadcasting sporting events. This study adopts the value creation sphere (VCS) model and the service dominant logic (SDL) to unpack the value co-creation process on SLSP... Read More about The viewer value co-creation process on sports live streaming platforms.

Platform business model innovation in the digitalization era: A “driver-process-result” perspective (2023)
Journal Article
Jia, Y., Su, J., Cui, L., Wu, L., & Hua Tan, K. (2023). Platform business model innovation in the digitalization era: A “driver-process-result” perspective. Journal of Business Research, 160, Article 113818. https://doi.org/10.1016/j.jbusres.2023.113818

In the digitalization era, business model innovation (BMI) has become the critical keystone for platforms to gain a sustainable competitive advantage in turbulent environments. However, platform BMI is currently not clearly understood. Through a long... Read More about Platform business model innovation in the digitalization era: A “driver-process-result” perspective.

Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management (2023)
Journal Article
Fjellström, D., Hilletofth, P., Fang, T., Kumar, V., Kumar, A., & Hua Tan, K. (2023). Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management. British Journal of Management, 34(3), 1100-1116. https://doi.org/10.1111/1467-8551.12710

Knowledge management and manufacturing relocation have been treated as independent spheres. However, for a relocation to be fruitful, knowledge management needs to be incorporated. The purpose of this research is to shed light on the lack of knowledg... Read More about Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management.