Mengying Feng
Chongqing Jiaotong University
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Publication
Featured researches published by Mengying Feng.
Supply Chain Management | 2014
Wantao Yu; Roberto Chavez; Mengying Feng; Frank Wiengarten
Purpose – The purpose of this paper is to extend previous green supply chain management (GSCM) research by developing and empirically testing a conceptual framework that investigates the relationships between three dimensions of integrated green supply chain management (iGSCM) and multiple dimensions of operational performance. Design/methodology/approach – The study is based on survey data collected from 126 automotive manufacturers in China. The relationships between theoretical constructs are analysed using structural equation modelling. Findings – This study generates important findings of the significant and positive relationships between iGSCM (internal GSCM, GSCM with customers and GSCM with suppliers) and operational performance in terms of flexibility, delivery, quality and cost. Practical implications – It is important for managers to simultaneously consider internal GSCM and GSCM with customers and suppliers when implementing environmental sustainability in the supply chains. Overlooking either...
Production Planning & Control | 2017
Roberto Chavez; Wantao Yu; Mark A. Jacobs; Mengying Feng
Abstract While recent conceptual research and consultancy white papers have suggested that analysing and interpreting data in the supply chain could potentially lead to the creation of competitive advantage, its exploratory nature demands empirical investigation. Drawing upon the resource-based view, this study empirically investigates the linkages between data-driven supply chains, manufacturing capability and customer satisfaction. The survey data for this study were gathered from China’s manufacturing industry and analysed using structural equation modelling. Results suggest that data-driven supply chains are positively associated with multiple manufacturing capability dimensions (i.e. quality, delivery, flexibility and cost), which in turn, lead to customer satisfaction improvement. While delivery appears to have no significant effect on customer satisfaction, quality, flexibility and cost are significantly and positively associated with customer satisfaction. This study provides insight into the connection between supply chain big data intelligence and both operational and organisational performance improvement.
International Journal of Production Research | 2017
Wantao Yu; Mark A. Jacobs; Roberto Chavez; Mengying Feng
Although previous research has addressed the interface and logical association among marketing, information technology (IT) and supply chain management, there have been few, if any, attempts to investigate how IT capability and marketing capability influence supply chain integration (SCI). Thus, this study investigates the direct and interacting effects of IT capability and marketing capability on SCI. The hypothesised relationships were tested using survey data gathered from 329 firms in China’s manufacturing industry. The results reveal that both IT capability and marketing capability have a significant positive effect on SCI. Interestingly, no significant interaction effect was found, indicating that marketing IT capability and marketing capability influence SCI independently, and not synergistically. However, while IT capability and marketing capability do not interact, IT capability does mediate the impact of marketing capability on SCI.
Production Planning & Control | 2017
Wantao Yu; Roberto Chavez; Mengying Feng
Abstract This study develops and empirically tests, from the resource-based perspective, a conceptual framework linking green supply management and performance. The proposed model is tested using data from a sample of 126 automotive manufactures in China. The results suggest that both green purchasing personnel and green supplier selection have a significant positive effect on green supplier collaboration, and that building green collaboration with suppliers is significantly and positively related to both environmental and operational performance. Accordingly, knowledge and skill development of the purchasing function can be recognised as an important resource in building green supply capabilities and performance.
Industrial Management and Data Systems | 2017
Mengying Feng; Wantao Yu; Roberto Chavez; John Mangan; Xumei Zhang
Purpose The purpose of this paper is to extend prior supply chain research by empirically exploring the relationship among guanxi, supply chain integration (SCI), and operational performance. More specifically, this study investigates the mediating role of SCI. Design/methodology/approach Ordinary least square regression is used to analyze survey data collected from 126 automobile manufacturers in China. Findings The results reveal a significant positive relationship between guanxi and SCI, and that SCI is significantly and positively related to operational performance. The authors’ findings further suggest that guanxi indirectly affects operational performance through SCI. Practical implications The empirical findings imply that it is vital for managers to recognize the important mediating role of dynamic SCI capabilities. Originality/value As a fundamental Chinese cultural norm, guanxi can be critical in a supply chain context. Although previous research has identified the importance of guanxi and SCI in improving firm performance, far less attention was given to the study of the mediating effect of SCI on the guanxi-performance relationship. This study thus fulfills the research gap by providing an initial empirical examination of the mediating role of SCI in China’s automotive industry.
Business Strategy and The Environment | 2016
Roberto Chavez; Wantao Yu; Mengying Feng; Frank Wiengarten
International Journal of Production Economics | 2017
Roberto Chavez; Wantao Yu; Mark A. Jacobs; Mengying Feng
Archive | 2014
Wantao Yu; Mengying Feng; Frank Wiengarten
Transportation Research Part E-logistics and Transportation Review | 2017
Wantao Yu; Roberto Chavez; Mark A. Jacobs; Mengying Feng
International Journal of Production Economics | 2014
Mingwu Liu; Mengying Feng; Chee Yew Wong