All Outputs (82)

Service innovation in sustainable product service systems: improving performance under linguistic preferences (2018)
Journal Article
Tseng, M.-L., Wiu, K.-J., Chiu, A. S., Lim, M. K., & Tan, K. (2018). Service innovation in sustainable product service systems: improving performance under linguistic preferences. International Journal of Production Economics, 203, 414-425. https://doi.org/10.1016/j.ijpe.2018.07.020

Sustainable product service systems enable firms that are operating under resource limitations to deliver the best possible outcomes in terms of social well-being and economic growth. However, prior studies have not yet investigated the function of s... Read More about Service innovation in sustainable product service systems: improving performance under linguistic preferences.

Unlocking innovation in the sport industry through additive manufacturing (2018)
Journal Article
Meier, M., Tan, K. H., Lim, M. K., & Chung, L. (2018). Unlocking innovation in the sport industry through additive manufacturing. Business Process Management Journal, 25(3), https://doi.org/10.1108/BPMJ-10-2017-0285

Fast changing customer demands and rising requirements in product performance constantly challenge sports equipment manufacturers to come up with new and improved products to stay competitive. Additive Manufacturing (AM), also referred to as 3D Print... Read More about Unlocking innovation in the sport industry through additive manufacturing.

A proposed framework for accelerated innovation in data-driven environments: Evidence and emerging trends from China (2018)
Journal Article
Zhan, Y., Tan, K. H., & Perrons, R. K. (2018). A proposed framework for accelerated innovation in data-driven environments: Evidence and emerging trends from China. Industrial Management and Data Systems, 118(6), 1266-1286. https://doi.org/10.1108/IMDS-11-2017-0542

© 2018, Emerald Publishing Limited. Purpose: In today’s rapidly changing business environment, the case for accelerated innovation processes has become increasingly compelling at both a theoretical and practical level. Thus, the purpose of this paper... Read More about A proposed framework for accelerated innovation in data-driven environments: Evidence and emerging trends from China.

The effect of lean methods and tools on the environmental performance of manufacturing organisations (2018)
Journal Article
Garza-Reyes, J. A., Kumar, V., Chaikittisilp, S., & Tan, K. H. (2018). The effect of lean methods and tools on the environmental performance of manufacturing organisations. International Journal of Production Economics, 200, https://doi.org/10.1016/j.ijpe.2018.03.030

Evidence suggests that lean methods and tools have helped manufacturing organisations to achieve operational excellence, and in this way meet both traditional and contemporary organisational objectives such as profitability, efficiency, responsivenes... Read More about The effect of lean methods and tools on the environmental performance of manufacturing organisations.

Managing quality risk in supply chain to drive firm's performance: the roles of control mechanisms (2018)
Journal Article
Ying, K. T., Zhang, M., Tan, K. H., Pawar, K., & Fernandes, K. (2019). Managing quality risk in supply chain to drive firm's performance: the roles of control mechanisms. Journal of Business Research, 97, 291-303. https://doi.org/10.1016/j.jbusres.2018.01.029

Product harm scandal can be viewed as a company’s nightmare. In many cases, the source of defective or unsafe components may not be the manufacturing firm itself; rather, there may be problems inherent in the supply network. This research aims to inv... Read More about Managing quality risk in supply chain to drive firm's performance: the roles of control mechanisms.

Managing social responsibility in Chinese agriculture supply chains through the “a company + farmers” model (2017)
Journal Article
Fu, S., Zhan, Y., & Tan, K. H. (in press). Managing social responsibility in Chinese agriculture supply chains through the “a company + farmers” model. European Business Review, 29(3), https://doi.org/10.1108/EBR-01-2016-0012

Purpose:Corporate social responsibility (CSR) has received a large amount of attention in research and in practice. As a response to the growing awareness of and concern about social and environmental issues, an increasing number of companies are int... Read More about Managing social responsibility in Chinese agriculture supply chains through the “a company + farmers” model.

Using big data to make better decisions in the digital economy (2017)
Journal Article
Tan, K. H., Ji, G., Lim, C. P., & Tseng, M.-L. (in press). Using big data to make better decisions in the digital economy. International Journal of Production Research, 55(17), https://doi.org/10.1080/00207543.2017.1331051

The question this special issue would like to address is how to harvest big data to help decision-makers to deliver better fact-based decisions aimed at improving performance or to create better strategy? This special issue focuses on the big data ap... Read More about Using big data to make better decisions in the digital economy.

Unpacking the indirect effects and consequences of environmental regulation (2017)
Journal Article
Tan, K. H., Chung, L., Shi, L., & Chiu, A. (2017). Unpacking the indirect effects and consequences of environmental regulation. International Journal of Production Economics, 186, https://doi.org/10.1016/j.ijpe.2017.01.017

Environmental regulation and its corresponding measures and control is an important issue but have not been fully investigated. Literature on the unintended consequences of regulation control and measures appears to be sparse. Through a series of exp... Read More about Unpacking the indirect effects and consequences of environmental regulation.

A study on decision-making of food supply chain based on big data (2017)
Journal Article
Ji, G., Hu, L., & Tan, K. H. (2017). A study on decision-making of food supply chain based on big data. Journal of Systems Science and Systems Engineering, 26(2), 183-198. https://doi.org/10.1007/s11518-016-5320-6

As more and more companies have captured and analyzed huge volumes of data to improve the performance of supply chain, this paper develops a big data harvest model that uses big data as inputs to make more informed production decisions in the food su... Read More about A study on decision-making of food supply chain based on big data.

Investment performance analysis of industrial products: Case of an effluent processing facility at a chemical company (2016)
Journal Article
Sato, Y., Tan, K. H., & Tse, Y. K. (2017). Investment performance analysis of industrial products: Case of an effluent processing facility at a chemical company. International Journal of Production Economics, 194, 52-58. https://doi.org/10.1016/j.ijpe.2016.12.021

This paper proposes an approach to a multi-criteria investment performance analysis of industrial products. Manufacturers must determine the necessary and sufficient specification of products they use. Such an analysis, however, involves a broad ra... Read More about Investment performance analysis of industrial products: Case of an effluent processing facility at a chemical company.

Unlocking the power of big data in new product development (2016)
Journal Article
Zhan, Y., Tan, K. H., Tse, Y., & Li, Y. K. (2018). Unlocking the power of big data in new product development. Annals of Operations Research, 270(1-2), 577-595. https://doi.org/10.1007/s10479-016-2379-x

This study explores how big data can be used to enable customers to express unrecognised needs. By acquiring this information, managers can gain opportunities to develop customer-centred products. Big data can be defined as multimedia-rich and intera... Read More about Unlocking the power of big data in new product development.

Incorporating human factors into the AAMT selection: a framework and process (2016)
Journal Article
Borges, L. A., & Tan, K. H. (2017). Incorporating human factors into the AAMT selection: a framework and process. International Journal of Production Research, 55(5), 1459-1470. https://doi.org/10.1080/00207543.2016.1259668

Human factors such as employee morale and workers skills greatly influence the successful adoption of automated and advanced manufacturing technologies. For newly industrialised countries, the evaluation of these factors before technology selection i... Read More about Incorporating human factors into the AAMT selection: a framework and process.

Inside out: The interrelationships of sustainable performance metrics and its effect on business decision making: Theory and practice (2016)
Journal Article
Gong, M., Simpson, A., Koh, L., & Tan, K. H. (2018). Inside out: The interrelationships of sustainable performance metrics and its effect on business decision making: Theory and practice. Resources, Conservation and Recycling, 128, 155-166. https://doi.org/10.1016/j.resconrec.2016.11.001

There has been an increasing interest in the use of decision-making models to achieve sustainability goal in recent decades. However, a systematic review of performance metrics, which are an important element of decision-making models to evaluate the... Read More about Inside out: The interrelationships of sustainable performance metrics and its effect on business decision making: Theory and practice.

Improving new product development using big data: a case study of an electronics company (2016)
Journal Article
Tan, K. H., & Zhan, Y. (2016). Improving new product development using big data: a case study of an electronics company. R&D Management, 47(4), 570-582. https://doi.org/10.1111/radm.12242

Big data is becoming more important to the new product development (NPD) efforts of global firms. Although the term of big data is not new, very few studies have investigated how firms can harvest big data to facilitate NPD. The purpose of this artic... Read More about Improving new product development using big data: a case study of an electronics company.

Sustainable consumption and production in emerging markets (2016)
Journal Article
Tseng, M.-L., Tan, K. H., Geng, Y., & Govindan, K. (2016). Sustainable consumption and production in emerging markets. International Journal of Production Economics, 181(B), https://doi.org/10.1016/j.ijpe.2016.09.016

This special issue addresses sustainable consumption and production (SCP) in emerging markets by examining novel methods, practices, and opportunities. The articles present and analyze top-down sustainability efforts as well as bottom-up efforts on f... Read More about Sustainable consumption and production in emerging markets.

The unique chinese innovation pathways: Lessons from chinese small and mediuem sized manufacturing firms (2016)
Journal Article
Chung, L., & Tan, K. H. (2017). The unique chinese innovation pathways: Lessons from chinese small and mediuem sized manufacturing firms. International Journal of Production Economics, 190, 80-87. https://doi.org/10.1016/j.ijpe.2016.09.004

© 2017 Many researchers equate the development of Chinese product innovation capabilities to Japanese and South Korean's development paths, that is, from imitation to innovation. Nonetheless, today many Chinese products have competed successfully in... Read More about The unique chinese innovation pathways: Lessons from chinese small and mediuem sized manufacturing firms.

Review of sustainable service-based business models in the Chinese truck sector (2016)
Journal Article
Pallaro, E., Subramanian, N., Abdulrahman, M. D., Liu, C., & Tan, K. H. (2017). Review of sustainable service-based business models in the Chinese truck sector. Sustainable Production and Consumption, 11, 31-45. https://doi.org/10.1016/j.spc.2016.07.003

Growth of global sales of new trucks in emerging economies is substantial however, in China the growth of sales is expected to be only 1% for 2014–2024. The limited sales growth forecast and an intense market competition make it imperative for truck... Read More about Review of sustainable service-based business models in the Chinese truck sector.

Using Big Data to manage safety-related risk in the upstream oil & gas industry: a research agenda (2016)
Journal Article
Tan, K. H., Ortiz-Gallardo, V. G., & Perrons, R. K. (2016). Using Big Data to manage safety-related risk in the upstream oil & gas industry: a research agenda. Energy Exploration and Exploitation, 34(2), https://doi.org/10.1177/0144598716630165

Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sector’s stubbornly high rate of injuries and fatalities. This short communication points... Read More about Using Big Data to manage safety-related risk in the upstream oil & gas industry: a research agenda.

Green and lean sustainable development path in China: Guanxi, practices and performance (2016)
Journal Article
Zhan, Y., Tan, K. H., Ji, G., Chung, L., & Chiu, A. S. (2018). Green and lean sustainable development path in China: Guanxi, practices and performance. Resources, Conservation and Recycling, 128, 240-249. https://doi.org/10.1016/j.resconrec.2016.02.006

Globalisation has created both drivers and pressure for Chinese organisations to enhance their business performance as well as environmental performance. Green and lean practice is emerging as a critical approach for Chinese organisations to achieve... Read More about Green and lean sustainable development path in China: Guanxi, practices and performance.

An integrated marginal analysis approach for build-to-order products (2015)
Journal Article
Sato, Y., Tan, K. H., & Tse, Y. K. (2015). An integrated marginal analysis approach for build-to-order products. International Journal of Production Economics, 170(Part B), 422-428. https://doi.org/10.1016/j.ijpe.2015.08.001

This paper proposes an integrated Marginal Analysis Directed Branch and Bound (MA) and Analytic Hierarchy Process (AHP) approach to support managerial decision making. MA was developed in the 1990s to direct the design process of a complex material h... Read More about An integrated marginal analysis approach for build-to-order products.