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Number of items: 18.

2018

Garza-Reyes, Jose Arturo, Kumar, Vikas, Chaikittisilp, Sariya and Tan, Kim Hua (2018) The effect of lean methods and tools on the environmental performance of manufacturing organisations. International Journal of Production Economics, 200 . pp. 170-180. ISSN 0925-5273

Zhang, M., Ying, Kei Tse and Tan, Kim Hua (2018) Managing quality risk in supply chain to drive firm's performance: the roles of control mechanisms. Journal of Business Research . ISSN 0148-2963 (In Press)

Zhan, Yuanzhu, Tan, Kim Hua, Ji, Guojun, Chung, Leanne and Chiu, Anthony (2018) Green and lean sustainable development path in China: Guanxi, practices and performance. Resources, Conservation and Recycling, 128 . pp. 240-249. ISSN 0921-3449

Gong, Mengfeng, Simpson, Andrew, Koh, Lenny and Tan, Kim Hua (2018) Inside out: the interrelationships of sustainable performance metrics and its effect on business decision making: theory and practice. Resources, Conservation and Recycling, 128 . pp. 155-166. ISSN 0921-3449

2017

Sato, Yuji, Tan, Kim Hua and Tse, Ying Kei (2017) Investment performance analysis of industrial products: case of an effluent processing facility at a chemical company. International Journal of Production Economics, 194 . pp. 52-58. ISSN 0925-5273

Chung, Leanne and Tan, Kim Hua (2017) The unique Chinese innovation pathways: lessons from Chinese small and medium sized manufacturing firms. International Journal of Production Economics, 190 . pp. 80-87. ISSN 0925-5273

Fu, Shaoling, Zhan, YuanZhu and Tan, Kim Hua (2017) Managing social responsibility in Chinese agriculture supply chains through the “a company + farmers” model. European Business Review, 29 (3). pp. 344-359. ISSN 0955-534X

Tan, Kim Hua, Ji, Guojun, Lim, Chee Peng and Tseng, Ming-Lang (2017) Using big data to make better decisions in the digital economy. International Journal of Production Research, 55 (17). pp. 4998-5000. ISSN 1366-588X

Ji, Guojun, Hu, Limei and Tan, Kim Hua (2017) A study on decision-making of food supply chain based on big data. Journal of Systems Science and Systems Engineering, 26 (2). pp. 183-198. ISSN 1861-9576

Tan, Kim Hua, Chung, Leanne, Shi, Lei and Chiu, Anthony (2017) Unpacking the indirect effects and consequences of environmental regulation. International Journal of Production Economics, 186 . pp. 46-54. ISSN 0925-5273

2016

Tseng, Ming-Lang, Tan, Kim Hua, Geng, Yong and Govindan, Kannan (2016) Sustainable consumption and production in emerging markets. International Journal of Production Economics, 181 (B). pp. 257-261. ISSN 0925-5273

Zhan, Yuanzhu, Tan, Kim Hua, Tse, Yina and Li, Ying Kei (2016) Unlocking the power of big data in new product development. Annals of Operations Research . pp. 1-9. ISSN 1572-9338

Tan, Kim Hua and Zhan, YuanZhu (2016) Improving new product development using big data: a case study of an electronics company. R&D Management . pp. 1-13. ISSN 1467-9310

Pallaro, Estelle, Subramanian, Nachiappan, Abdulrahman, Muhammad D., Liu, Chang and Tan, Kim Hua (2016) Review of sustainable service-based business models in the Chinese truck sector. Sustainable Production and Consumption . ISSN 2352-5509

Tan, Kim Hua, Wong, W.P. and Chung, Leanne (2016) Information and knowledge leakage in supply chain. Information Systems Frontiers, 18 (3). pp. 621-638. ISSN 1572-9419

Tan, Kim Hua, Ortiz-Gallardo, Víctor G. and Perrons, Robert K. (2016) Using Big Data to manage safety-related risk in the upstream oil & gas industry: a research agenda. Energy Exploration & Exploitation, 34 (2). pp. 282-289. ISSN 0144-5987

2015

Tan, Kim Hua, Zhan, YuanZhu, Ji, Guojun, Ye, Fei and Chang, Chingter (2015) Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph. International Journal of Production Economics, 165 . pp. 223-233. ISSN 0925-5273

Tan, Kim Hua, Zhan, YuanZhu, Ji, Guojun, Ye, Fei and Chang, Chingter (2015) Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph. International Journal of Production Economics, 165 . pp. 223-233. ISSN 0925-5273

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