Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudipta Ghosh ◽  
Madhab Chandra Mandal ◽  
Amitava Ray

PurposeSupplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.Design/methodology/approachThe research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.FindingsThe results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.Research limitations/implicationsThe proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.Practical implicationsThe basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.Originality/valueThe originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

2017 ◽  
Vol 37 (4) ◽  
pp. 489-509 ◽  
Author(s):  
Jens K. Roehrich ◽  
Stefan U. Hoejmose ◽  
Victoria Overland

Purpose The purpose of this paper is to apply self-determination theory (SDT) to green supply chain management (GSCM) and explore how green supplier selection (GSS) drives GSCM performance and how realisation of improved GSCM performance is contingent upon SDT mechanisms of autonomy, competence and relatedness. Design/methodology/approach This study draws on 18 semi-structured interviews and secondary data from a Germany-based first-tier aircraft interior manufacturer and its six key suppliers. The focal company was selected because it is recognised as having achieved high GSCM standards in the aerospace industry. Findings The study draws out the importance of GSS, distinguishing between new and legacy suppliers, and offers significant insights into how suppliers’ motivation and downstream GSCM criteria can be internalised in second-tier suppliers to drive GSCM performance. Practical implications GSS should be considered not only for new suppliers but also at an ongoing basis for legacy suppliers. Focal companies must realise the importance of motivating supply chain partners to realise GSCM practices and need to first build-up autonomy before focussing on competence and relatedness sub-dimensions. Originality/value The authors make a significant contribution to the GSCM literature by conducting a study of first-tier-second-tier relationships, thus moving beyond the buyer-supplier relationships investigated in extant studies. The results theoretically and empirically draw out key factors in GSS and supplier motivation in engaging with GSCM practices, thus driving GSCM performance.


2014 ◽  
Vol 5 (2) ◽  
pp. 312-337 ◽  
Author(s):  
Hardeep Chahal ◽  
Ramesh Dangwal ◽  
Swati Raina

Purpose – The purpose of the study is twofold. First, to examine the domain of green marketing construct in the context of small and medium enterprises (SMEs) operating in emerging economies (i.e. India) across electrical industries and, second, to assess its impact on the SMEs performance. Design/methodology/approach – All the owners of electrical industries (SMEs) operating in Jammu District, that is, 152, were contacted using census method. Findings – The study identifies and confirms five factors, namely, greening the process, green supply chain management, green strategic policy initiative, proactive energy conservation and green innovation of green marketing as important dimensions of green marketing orientation (GMO) scale. All the dimensions of the GMO scale have positive and significant impacts on performance of the firms. In addition, there exists stronger impact of green marketing dimensions on the customer business to business (B2B) satisfaction and employee retention. Research limitations/implications – The research has certain unavoidable limitations. First, the study is based on only one sector, that is, electrical industries operating in developing industrial region of India and hence future research is suggested to comprehend green marketing in other green-savvy manufacturing sectors like pharmaceutical sector and service sector like hotels and hospitals. Further, the study has focussed on the development of GMO scale and future studies need to extend research to include variables like green satisfaction, green trust and green loyalty to understand their mediating role in green marketing and performance relationship. Furthermore, the moderating role of variables such as nature and age of the SMEs can also be studied in future research. Practical implications – GMO allows managers to understand how their firms facilitate green environment and they affect the business outcomes. Furthermore, GMO takes into consideration all important aspects (greening the process, green supply chain management, green strategic policy initiatives, proactive energy conservation and green promotion) which provide better explanatory power and identification of priority areas for managerial attention. GMO can be used by managers to determine which strategies and practices will have the most positive influence on employees’ outcome. Originality/value – This paper can help managers in identifying the perspectives of GMO in electrical sector for the developing countries. Unlike the three dimensions confirmed by studies, this study established five dimensions of green marketing, namely, greening the process green supply chain management, green strategic policy initiatives, proactive energy conservation and green promotion.


2018 ◽  
Vol 13 (3) ◽  
pp. 605-625 ◽  
Author(s):  
Mohammad Khalilzadeh ◽  
Hadis Derikvand

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.


Author(s):  
Abednico Lopang Montshiwa

Purpose This study aims to present a competitive advantages framework suited for disaster prone regions in the era of climate change, present supply chain cooperation (SCC) as an integral part of GrSCM within the automobile industry and evaluate the competitive advantages framework merits based on SCC as a new implementation tool. Design/methodology/approach In an effort to address limited green supply chain management implementation strategies in disaster prone regions, the paper presents SCC as an economic, social and political implementation tool. To explore this; the study introduces SCC in a three-phase competitive advantages model adopted from the Barney 1995 model (with slight differences). Smart PLS 3.0 software package was adopted to carry out multi-variable data analysis. The study’s assumption is a capital economic system and bases its argument of analysis on stockholder theoretical lenses. Findings Big company size does not significantly affect SCC, suggesting that companies of all size can organize and enhance their network to be cooperative. Companies with cooperative supply chain network tend to have competitive advantages. SCC is also a viable way to manage business risks, be there internal or external. Research limitations/implications One of the study’s limitation is the stockholder theory it adopts, which shoulders its assumptions on a capital economic model of operation. Indeed, the study covered China, which is seen to be a communist-based economy. Another study’s limitation is that it narrows its data collection to disaster prone areas as documented by Guha-Sapir et al. (2012). Consequently, the findings of this study might be only applicable to areas that experience significant level of disruptions usually caused by disaster incidents. Originality/value The study is also the first of its kind to propose a model for automobile manufacturing in disaster prone regions. This is done by introducing SCC as an economic, social and political factor, while risk ranking is introduced as an environmental factor to constitute the external changes that Barney 1995 introduced.


Author(s):  
Junjun Liu ◽  
Yunting Feng ◽  
Qinghua Zhu ◽  
Joseph Sarkis

Purpose Green supply chain management (GSCM) and the circular economy (CE) overlap but also differ. The purpose of this paper is to clarify linkages between these two concepts. It identifies mutual theory applications used to study GSCM and CE. Design/methodology/approach A systematic literature review is conducted to identify theories from GSCM and CE studies. A critical analysis explores the theories that can provide mutual applications between GSCM and CE fields. Propositions are developed. Findings In all, 12 theories are applied in both GSCM and CE studies. Several theories are only applied in GSCM studies, but can help to advance CE study. These theories include complexity, transaction cost economics, agency, and information theories. Each of the eight theories only applied to CE can potentially advance GSCM study. Research limitations/implications The findings contribute to further theory development for both GSCM and CE study. A methodological review can advance theoretical development and cross-pollination in both fields. Originality/value This work is the first study to explicitly explore linkages of GSCM and CE from a theoretical perspective.


2018 ◽  
Vol 29 (6) ◽  
pp. 1110-1122 ◽  
Author(s):  
Abhijit Majumdar ◽  
Sanjib Sinha

PurposeSmall and medium enterprises (SMEs) of Indian clothing industry have become one of the most important cogs of global fashion supply chain. However, the implementation of green practices is still in the nascent stage. The purpose of this paper is to analyze the important barriers of green supply chain management in Indian clothing SMEs.Design/methodology/approachA total of 36 barriers related to green supply chain management (GSCM) practices were identified through exhaustive literature review. Then ten important barriers were shortlisted through questionnaire survey among supply chain practitioners using five-point Likert scale. Finally, interpretive structural modeling technique was used to decipher the contextual relationships among these barriers.FindingsComplexity of green process and system design and lack of support from regulatory authorities were found to be the barriers having the maximum driving power. Lack of consumer support and high investment and low economic benefits were also found to be important barriers in the way of green practices implementation in clothing SMEs. In contrast, lack of reward systems for suppliers, uncertainty of green outcome, lack of green materials, process and technology and lack of flexibility to switch over to green system were the dependent barriers.Originality/valueThe important barriers of GSCM practices in Indian clothing SMEs have been identified and analyzed. The finding will be helpful in making the Indian clothing SMEs environmentally sustainable by eliminating the important barriers.


Author(s):  
R.K. Singh ◽  
Sanjay Rastogi ◽  
Mallika Aggarwal

Purpose In the present context of a globalised economy, market requirements are changing regularly in term of product cost, delivery time, safety and environmental issues. Apart from conventional measures, environmental factors have become an integral part of performance measurement system. This study aims to analyse major barriers and factors in green supply chain (GSC) management implementation. Design/methodology/approach The present study has tried to identify barriers and factors for green supply chain management (GSCM) based on literature review. Factors for GSCM have been modelled by interpretive structural modelling (ISM) approach. Findings Based on literature review, 12 factors have been identified. It has been observed that top management commitment, integration among supply chain members, vendors’ development, environmental friendly packaging and transportation, reverse logistic management and development of a green performance measurement system are major drivers for successful implementation of GSCM. Research Limitations/implications Organisations need to follow a proactive approach for taking GSC initiatives. For generalisation of findings, empirical study and some case studies need to be carried out. Originality/value Findings of this study will help organisations in strategy formulation for GSCM and successful implementation for sustainable competitiveness.


2015 ◽  
Vol 38 (2) ◽  
pp. 166-194 ◽  
Author(s):  
Amulya Gurtu ◽  
Cory Searcy ◽  
M.Y. Jaber

Purpose The purpose of this paper is to analyze the keywords used in peer-reviewed literature on green supply chain management. Design/methodology/approach To determine the keywords that were used in this area, an analysis of 629 papers was conducted. The papers were identified through searches of 13 keywords on green supply chains. Trends in keyword usage were analyzed in detail focusing on examining variables such as the most frequently used journals/keywords, their frequencies, citation frequency and research contribution from different disciplines/countries. Findings A number of different terms have been used for research focused on the environmental impacts of supply chains, including green supply chains, sustainable supply chains, reverse logistics and closed-loop supply chains, among others. The analysis revealed that the intensity of research in this area has more than tripled in the past six years and that the most used keyword was “reverse logistics”. The use of the terms “green supply chains” and “sustainable supply chains” is increasing, and the use of “reverse logistics” is decreasing. Research limitations/implications The analysis is limited to 629 papers from the Scopus database during the period of 2007 and 2012. Originality/value The paper presents the first systematic analysis of keywords used in the literature on green supply chains. Given the broad array of terms used to refer to research in this area, this is a needed contribution. This work will help researchers in choosing keywords with high frequency and targeting journals for publishing their future work. The paper may also provide a basis for further work on developing consolidated definitions of terms focused on green supply chain management.


2020 ◽  
Vol 31 (2) ◽  
pp. 470-482 ◽  
Author(s):  
Lucas Silvestre de Carvalho ◽  
Nelson Oliveira Stefanelli ◽  
Lilian Carolina Viana ◽  
Diogo de Siqueira Camargo Vasconcelos ◽  
Bruno Garcia Oliveira

PurposeThis paper aims to investigate the main associations between research regarding innovation and green supply chain management (GSCM).Design/methodology/approachFor this the study sought to (1) present the most cited authors in the area; (2) demonstrate the main localities that develop research with this focus; (3) list the main journals with the published research on the themes. The methodology used was a bibliometric survey using the Scopus database as the data source. The VOSviewer® software was used to perform the analysis of the database from the respective DOI® of each article.FindingsAs results of the research, it is possible to demonstrate the existence of an agglomeration of countries that are interrelated in the development of research on these themes, especially China, the United States and the United Kingdom as the main foundations of this center.Originality/valueThis paper evidences the direction of scientific research within the analyzed area, demonstrating where there is convergence for innovation in actions related to GSCM. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research or check gaps to be filled by the development of new processes.


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