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Professor Kim Tan's Outputs (84)

Optimal Online Service Strategy and Price Decision in Omnichannel Retail (2022)
Journal Article
Ji, G., Fu, T., Chen, J., & Tan, K. H. (2022). Optimal Online Service Strategy and Price Decision in Omnichannel Retail. Mathematical Problems in Engineering, Article 8698309. https://doi.org/10.1155/2022/8698309

As a new emerging sales promotion tool, various types of online services are increasingly adopted by firms to improve consumers' satisfaction and then increase profit. This paper simulates a two-echelon supply chain where a supplier sells the product... Read More about Optimal Online Service Strategy and Price Decision in Omnichannel Retail.

Implementation strategy and emission reduction effectiveness of carbon cap-and-trade in heterogeneous enterprises (2022)
Journal Article
Linghu, D., Xinli, W., Lai, K. H., Ye, F., Kumar, A., & Tan, K. H. (2022). Implementation strategy and emission reduction effectiveness of carbon cap-and-trade in heterogeneous enterprises. International Journal of Production Economics, 248, Article 108501. https://doi.org/10.1016/j.ijpe.2022.108501

In this research, a carbon emission reduction supply chain mechanism formed by government and enterprises is developed. Using a mixed game model, we study the impact of enterprise heterogeneity and social willingness-to-pay for environmental measures... Read More about Implementation strategy and emission reduction effectiveness of carbon cap-and-trade in heterogeneous enterprises.

Analysis of carbon productivity for firms in the manufacturing sector of India (2022)
Journal Article
Bagchi, P., Kumar Sahu, S., Kumar, A., & Tan, K. H. (2022). Analysis of carbon productivity for firms in the manufacturing sector of India. Technological Forecasting and Social Change, 178, Article 121606. https://doi.org/10.1016/j.techfore.2022.121606

Emission estimation and carbon productivity at the firm level for India's manufacturing sector are scanty. We fill this gap by estimating CO2 emissions at the firm level and further determining the optimal and the actual trade-offs between emissions... Read More about Analysis of carbon productivity for firms in the manufacturing sector of India.

Data analytics capability and servitization: the moderated mediation role of bricolage and innovation orientation (2022)
Journal Article
Tan, K. H., Chen, M., Pu, X., Zhang, M., Cai, Z., & Chong, A. Y.-L. (2022). Data analytics capability and servitization: the moderated mediation role of bricolage and innovation orientation. International Journal of Operations and Production Management, 42(4), 440-470. https://doi.org/10.1108/ijopm-10-2021-0663

Purpose – Despite the potential influence of data analytics capability on servitization, our understanding of the underlying mechanisms of this influence remains unclear. This study explores how data analytics capability affects servitization by exam... Read More about Data analytics capability and servitization: the moderated mediation role of bricolage and innovation orientation.

Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction (2022)
Journal Article
Tan, K. H., Pawar, K., & Liu, H. (2022). Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction. Journal of Business Research, 144, 599-613. https://doi.org/10.1016/j.jbusres.2022.02.045

Sports viewers have been offered an unprecedented viewing experience to share their passion with their team and communicate in real-time with a streamer and other viewers by sending messages and virtual gifts on sport live streaming platforms (SLSPs)... Read More about Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction.

Investigating the Impact of AI-powered Technologies on Instagrammers' Purchase Decisions in Digitalization Era: A Study of the Fashion and Apparel Industry (2022)
Journal Article
Yeo, S. F., Tan, C. L., Kumar, A., Tan, K. H., & Wong, J. K. (2022). Investigating the Impact of AI-powered Technologies on Instagrammers' Purchase Decisions in Digitalization Era: A Study of the Fashion and Apparel Industry. Technological Forecasting and Social Change, 177, Article 121551. https://doi.org/10.1016/j.techfore.2022.121551

Over the last couple of decades, technological advancements have accelerated exponentially, especially in the realm of online social networking networks. The artificial intelligence (AI)-powered digital technologies applications continue to emerge to... Read More about Investigating the Impact of AI-powered Technologies on Instagrammers' Purchase Decisions in Digitalization Era: A Study of the Fashion and Apparel Industry.

Inconsistency indices in pairwise comparisons: an improvement of the Consistency Index (2022)
Journal Article
Sato, Y., & Tan, K. H. (2022). Inconsistency indices in pairwise comparisons: an improvement of the Consistency Index. Annals of Operations Research, https://doi.org/10.1007/s10479-021-04431-3

The Consistency Index and the Consistency Ratio of the analytic hierarchy process (AHP) were designed to measure the ratio of inconsistent judgments among pairwise comparisons (PCs), which have been the principal indices for the past four decades. De... Read More about Inconsistency indices in pairwise comparisons: an improvement of the Consistency Index.

Timing of blockchain adoption in a supply chain with competing manufacturers (2022)
Journal Article
Ji, G., Zhou, S., Lai, K.-H., Tan, K. H., & Kumar, A. (2022). Timing of blockchain adoption in a supply chain with competing manufacturers. International Journal of Production Economics, 247, Article 108430. https://doi.org/10.1016/j.ijpe.2022.108430

Recent improvements in consumers' awareness of product traceability have revealed the disadvantages of traditional supply chain traceability systems. Traditional traceability systems are centralized, and the data that they use are vulnerable to tampe... Read More about Timing of blockchain adoption in a supply chain with competing manufacturers.

Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering (2022)
Journal Article
Kumar, A., Gopal, R. D., Shankar, R., & Tan, K. H. (2022). Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering. Decision Support Systems, 155, Article 113728. https://doi.org/10.1016/j.dss.2021.113728

Reading customer reviews before purchasing items online has become a common practice; however, some companies use machine learning (ML) algorithms to generate false reviews in order to create positive brand images of their own products and negative i... Read More about Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering.

Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing (2021)
Journal Article
Tan, K. H., Xia, Y., Zeng, W., Xing, X., Zhan, Y., & Kumar, A. (2023). Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing. Annals of Operations Research, 327(1), 89-127. https://doi.org/10.1007/s10479-021-04459-5

Alongside the rise of ‘last-mile’ delivery in contemporary urban logistics, drones have demonstrate commercial potential, given their outstanding triple-bottom-line performance. However, as a lithium-ion battery-powered device, drones’ social and env... Read More about Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing.

A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption (2021)
Journal Article
Vanany, I., Ali, H., Tan, K. H., Kumar, A., & Siswanto, N. (2024). A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption. IEEE Transactions on Engineering Management, 71, 10358-10372. https://doi.org/10.1109/TEM.2021.3116068

This article aims to explore the supply chain (SC) resilience capabilities of firms, focusing on their ability to respond to the COVID-19 pandemic disruption. Based on two cases each in the pharmaceutical and mineral water industries, this article id... Read More about A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption.

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions (2021)
Journal Article
Han, R., Lam, H. K., Zhan, Y., Wang, Y., Dwivedi, Y. K., & 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, 121(12), 2467-2497. https://doi.org/10.1108/imds-05-2021-0300

Purpose-Although the value of AI has been acknowledged by companies, the literature shows challenges concerning AI-enabled B2B marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates th... Read More about Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions.

A conceptual framework for information-leakage-resilience (2021)
Journal Article
Wong, W. P., Tan, K. H., Govindan, K., Li, D., & Kumar, A. (2021). A conceptual framework for information-leakage-resilience. Annals of Operations Research, https://doi.org/10.1007/s10479-021-04219-5

In today’s dynamic and competitive business environment, it is critical for firms to share information selectively and develop organizational resilience. However, only a few existing studies examine the relationships between information management an... Read More about A conceptual framework for information-leakage-resilience.

Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster (2021)
Journal Article
Pu, X., Chen, M., Cai, Z., Yee-Loong Chong, A., & Hua Tan, K. (2021). Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster. International Journal of Operations and Production Management, 41(9), 1442-1468. https://doi.org/10.1108/IJOPM-12-2020-0887

Purpose – This study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM... Read More about Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster.

A Hybrid Fuzzy Goal Programming for Smart Phones and Rate Plan Selection (2021)
Journal Article
Ho, H.-P., Chang, C.-T., & Tan, K. H. (2021). A Hybrid Fuzzy Goal Programming for Smart Phones and Rate Plan Selection. International Journal of Fuzzy Systems, 23(6), 1613-1632. https://doi.org/10.1007/s40815-020-00999-3

Smartphones are essential personal belongings today. However, smartphone buyers (SBs) are often hesitant in deciding what the best smartphone and rate plan to choose offered by telecom providers. Among many new smartphones, it is often difficult for... Read More about A Hybrid Fuzzy Goal Programming for Smart Phones and Rate Plan Selection.

Technological innovation and structural change for economic development in China as an emerging market (2021)
Journal Article
Cai, Z., Tan, K. H., Zhang, L., Du, J., Song, M., & Zhou, X. (2021). Technological innovation and structural change for economic development in China as an emerging market. Technological Forecasting and Social Change, 167, Article 120671. https://doi.org/10.1016/j.techfore.2021.120671

As an emerging and transforming market, China has emphasized the key role of technological innovation and industrial structural change in economic growth. Using a nonlinear econometric model and provincial data from 2000 to 2014, this study investiga... Read More about Technological innovation and structural change for economic development in China as an emerging market.

The Role of Food Apps Servitization on Repurchase Intention: A Study of Foodpanda (2021)
Journal Article
Yeo, S. F., Tan, C. L., Teo, S. L., & Tan, K. H. (2021). The Role of Food Apps Servitization on Repurchase Intention: A Study of Foodpanda. International Journal of Production Economics, 234, Article 108063. https://doi.org/10.1016/j.ijpe.2021.108063

With the exponential growth of smartphone applications (apps), companies have embraced the new concept of platform service supply chain (PSSC). The food industry in particular has quickly adopted this concept through the use of food apps, such as Foo... Read More about The Role of Food Apps Servitization on Repurchase Intention: A Study of Foodpanda.

Collaborative Rebate Strategy of Business-to-Customer Platforms Considering Recycling and Trade-Ins Simultaneously (2021)
Journal Article
Ji, G., Sun, Z., & Tan, K. H. (2021). Collaborative Rebate Strategy of Business-to-Customer Platforms Considering Recycling and Trade-Ins Simultaneously. Sustainability, 13(4), Article 1679. https://doi.org/10.3390/su13041679

B2C (business to customer) platforms like JD.com and Suning.com often cooperate with professional recycling companies, and implement recycling programs and trade-in programs simultaneously, especially for electronic products. The former means that pl... Read More about Collaborative Rebate Strategy of Business-to-Customer Platforms Considering Recycling and Trade-Ins Simultaneously.

Impact of regulatory intervention and consumer environmental concern on product introduction (2020)
Journal Article
Yang, G., Ji, G., & Tan, K. H. (2020). Impact of regulatory intervention and consumer environmental concern on product introduction. International Journal of Production Economics, 230, Article 107898. https://doi.org/10.1016/j.ijpe.2020.107898

To meet consumer expectations for greener and better quality products and to ensure effective compliance with emissions regulations, firms have begun investing in improving the quality and greenness (low carbon level) of existing products. Emissions... Read More about Impact of regulatory intervention and consumer environmental concern on product introduction.