scholarly journals Special Topic Forum on Supply Chain Management in Emerging Markets: Critical Research Issues

2013 ◽  
Vol 49 (3) ◽  
pp. 112-112
2011 ◽  
Vol 81 (18) ◽  
pp. 1871-1892 ◽  
Author(s):  
ZX Guo ◽  
WK Wong ◽  
SYS Leung ◽  
Min Li

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.


2012 ◽  
Vol 12 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Pao Kao ◽  
William Redekop ◽  
Cecilia Mark-Herbert

Multinational food processing corporations are facing rapid growth in emerging markets like China and a concurrent need for sustainable supply chain management (SSCM). These firms attempt to address supply risk and threat to the triple bottom line through managing suppliers and inputs, and at the same time need to overcome the uncertainty raised by the unfamiliar host environment. An exploratory qualitative case study of two multinational food processing corporations in China finds their SSCM practices are impacted by the nature of the raw material inputs as well as local stakeholder expectations. In particular, government policy and media attention seems to influence the direction and choice of SSCM activities engaged in by the focal firms. Furthermore, the discussion also suggests a possible permanent effect may occur as stakeholder expectations and host country institutions evolve. The implication of this study is that food processors preparing to enter emerging markets should be aware that local stakeholder expectations may affect operations significantly more than previously expected. As such, these firms need to carefully evaluate their operations in the host market and seek balance between SSCM practices and local stakeholder expectations. This study extends existing research on SSCM, exploring practices among the agri-food industry in a developing economy, and points out a theoretical extension to the existing sustainable purchasing portfolio matrix.


Ingeniería ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 355-377
Author(s):  
Janna Paola Gamboa Bernal ◽  
Javier Arturo Orjuela Castro ◽  
Carlos Eduardo Moreno Mantilla

Context: The environmental and social dimensions of performance are of great importance, given that they must be incorporated into strategic, tactical, and operational objectives in companies and supply chains to minimize negative impacts on the environment and society. Method: After reviewing the Scopus, Web of Science, and ScienceDirect databases for the topics of sustainability and supply chain management, a state of the art of green and sustainable supply chain management is presented, aiming to guide readers towards a synthesis of related concepts and future lines of research. Results: The reader is introduced to concepts and trends around the field of green and sustainable supply chain management to raise interest in new research and practices to guide the implementation of sustainability in organizations and their supply chains. Conclusions: Sustainable supply chain management still faces several academic and practical challenges in terms of implementation, performance measurement, and how models can capture a dynamic and uncertain social and environmental context. There are latent research issues such as management of the circular supply chain, applications in emerging economies, or the application of 4.0 technologies.


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