KEY FACTORS INFLUENCING SUPPLY CHAIN COLLABORATIVE INNOVATION FOR SUSTAINABLE SUPPLY CHAIN PERFORMANCE A CASE OF LOGISTICS SECTOR IN DELHI NCR REGION

2021 ◽  
Vol 15 (4) ◽  
pp. 19
Author(s):  
A. V. NAGESWARA RAO ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2978
Author(s):  
Hongmei Shan ◽  
Ying Li ◽  
Jing Shi

The recent trade friction between the two largest economies, US and China, is having a profound impact on the sustainable development of supply chains at a global scale. Supply chain collaborative innovation has not only become the main means for enterprises in various countries to cope with imponderable changes, but also been the driver of increasing supply chain dynamic capability and of achieving sustainable development of supply chains. Based on the survey data of 510 Chinese enterprises, this paper adopts the hierarchical regression analysis and a structural equation model to study the impact of supply chain collaborative innovation on the sustainable development of supply chains. The results show that: (1) Three modes of supply chain collaborative innovation (namely, technology collaborative innovation, management collaborative innovation, and market collaborative innovation) have different effects on supply chain dynamic capability and sustainable supply chain performance. (2) Supply chain dynamic capability plays a significant intermediary role between supply chain collaborative innovation and sustainable supply chain performance. (3) Supply chain technology collaborative innovation has the greatest direct impact on sustainable supply chain performance, followed by supply chain management collaborative innovation. However, the direct effect of supply chain market collaborative innovation on sustainable supply chain performance is not significant; under the intermediary role of dynamic capability, supply chain market collaborative innovation has a significant indirect effect on sustainable supply chain performance.


2021 ◽  
Vol 13 (10) ◽  
pp. 5714
Author(s):  
Yubin Yang ◽  
Xuejian Chu ◽  
Ruiqi Pang ◽  
Feng Liu ◽  
Peifang Yang

COVID-19 has created a strong demand for supply chain finance (SCF) for small and medium-sized enterprises (SMEs). However, the rapid development of SCF leads to more complex credit risks. How to effectively discriminate and manage SMEs to reduce credit risk has become one of the most critical issues in SCF. In addition, sustainable SCF (SSCF) has received increasing attention, and credit risk management is important to achieve SSCF. Therefore, it is significant to identify the key factors influencing the credit risk of SMEs and construct a prediction model to promote SSCF. This study uses the lasso-logistic model to identify factors influencing the credit risk of SMEs and to predict the credit risk of SMEs. The empirical results show that (i) the key factors influencing SMEs’ credit risk include six variables—the matching degree of order data, ratio of contract enforcement, number of contract defaults, degree of business concentration, and number of administrative penalties; and (ii) the lasso-logistic model can identify the key factors influencing credit risk and have a better prediction performance. Moreover, transaction credit and reputation supervision significantly influence the credit risk of SMEs.


Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.


2019 ◽  
Vol 31 (2) ◽  
pp. 559-574
Author(s):  
Yung-Heng Lee ◽  
Min-Ren Yan

Purpose The purpose of this paper is to identify the factors influencing bargaining decisions and systematically develop a framework to support collaborative innovation within a strategic alliance. This framework can help companies resolve bargaining problems and facilitate cooperation and effective negotiation of strategic alliances to build successful business relationships. Design/methodology/approach The study considers Taiwanese agents’ bargaining power during negotiations with suppliers, using decision analysis to identify the variables affecting judgment. It uses Delphi–AHP methods to evaluate and develop a multi-criteria model explaining the critical factors to increase agents’ bargaining power and collaborative capability in the negotiation process. Findings Two significant differences between supply chain management practices and managerial specialty are found. Results suggest that better supply chain management practices of agents could assist suppliers in reducing their stock and processing delivery costs, and suppliers could offer more of their marketing planning and strategies to agents to increase confidence in each other’s products. Research limitations/implications It is hoped that this study will encourage more academics in the supply chain management field to investigate the extent to which other bargaining considerations act as facilitating or constraining factors in other Asian and non-Asian economies and other industries. Practical implications This study focuses on collaborative thinking and cooperation to develop and improve positive and relational outcomes in agent–supplier relationships. Originality/value The study analyzed the bargaining power of agents and collaborative innovation in the semiconductor industry from three major perspectives: professional competence, managerial competence and channel efficiency. The study provides effective suggestions for enhancing profits in agency-based cooperation.


2017 ◽  
Vol 28 (4) ◽  
pp. 1196-1217 ◽  
Author(s):  
Jei-Zheng Wu ◽  
Caroline Himadewi Santoso ◽  
Jinshyang Roan

Purpose The purpose of this paper is to explore key factors or criteria of sustainable supply chain management (SSCM) influencing Indonesian coal companies, using “adoption, implementation, and performance” (A-I-P) of SSCM, thru three means: first, to investigate which criteria have higher weight to achieve SSCM in Indonesia; second, to see whether there are any differences between the Indonesia case and existing literature of SSCM; third, to highlight any causal relationships between the Indonesia case and the SSCM theory. Design/methodology/approach DEMATEL-based analytic network process (DANP) questionnaire survey with a theoretical SSCM model is applied to conduct an empirical test for the coal production and supply chain companies in Indonesia. Findings The “performance” dimension out of the A-I-P of the SSCM is the most important one, while the “adoption” dimension is the least. Out of the 12 criteria under the three dimensions, the “operational, economic, environmental, and social” factors under the category of the performance dimension and the “ISO 14001 certification” criteria belonging to the dimension of “implementation” are the top five key factors in the SSCM. Research limitations/implications There are some limitations in this study. First and foremost is the relatively small sample size with a limited geographic area, although they are unavoidable owing to one country case study. Practical implications The test results are helpful to draw guidance for sustainable supply chain managers in implementing efficient SSCM in the wave of tough competition and changing marketplace. Originality/value This study contributes first to developing a theoretical framework for SSCM under the A-I-P model and second, to applying DANP to an empirical case of SSCM of the coal industry in Indonesia. As a result, the authors draw helpful guidelines and policy implications for SSCM of the coal industry, referring to the A-I-P dimension as drivers and enablers for the SSCM performances of the industry.


Sign in / Sign up

Export Citation Format

Share Document