Analysing Company’s Performance by Using Sustainable Supply Chain Management (SSCM)

Purpose This paper seeks to contribute to the understanding of the impact of Sustainable Supply Chain Management (SSCM) practices on sustainable performance and the further impact of sustainable performance on food safety assurance in Chinese food firms. The paper also aims to provide a new way to avoid the occurrence of food safety problems from the perspective of SSCM and so help food firms to achieve sustainable development. Design/methodology/approach This paper developed a conceptual model to investigate the impact of food firms SSCM practices on the firm performances while firm performances on food safety assurance. The primary data were collected from 162 Chinese food firms. The research models were tested using structural equation modeling on PLS smart 3.0. Findings The results show that SSCM practices have a positive impact on firm environmental performance and social performances. The environmental and social performance positively related to financial performance. Moreover, the sustainable performance positively affects the food safety assurance. Research limitations/implications Our results suggest that SSCM practices have a positive impact on a firm’s environmental and social performance, which in turn improves financial performance. Moreover, sustainable performance positively affects food safety assurance. Originality/value An SSCM practices model is proposed to empirically evaluate Chinese food firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially friendly and are good to business, and the food safety assurance can be promoted by a food firm’s sustainability performance. We carried out a survey and research of SSCM in food industry and gave insights to food safety management.

PurposeThe purpose of this paper is to give an up-to-date and structured insight into the literature published during the past decade on sustainable green supply chain management. It also suggests trends for future research based on the research issues identified through systematic and comprehensive analysis of previous studies in the area of green and sustainable supply chain management.Design/methodology/approachA state-of-the-art literature review is carried out by systematically collecting the existing literature over a period of 10 years (2005-2014) and categorizing it on the basis of attributes such as stages in supply chain, methodology and the industries/sectors under consideration. The classification of literature is also done according to the geographic region and year of publication.FindingsThere has been an increased interest among researchers and practitioners in the area of sustainable green supply chain management in the past decade. A need for achieving sustainability through adoption of greener practices has been universally felt, owing to an increasing environmental and ecological complexity. The review reveals that there exists a need to address behavioural issues like human resource management and supply chain partner relationship management. Moreover, reverse logistics, closed-loop supply chain management and waste management are areas that need special focus to achieve environmental sustainability.Research limitations/implicationsThe current review focuses on research trends in the past 10 years only. Moreover, papers from only good quality, peer-reviewed journals are considered in the study.Originality/valueMost of the previous reviews have either focused on specific issues related to sustainable supply chains only or green supply chains. The present study collectively takes into consideration papers both from green supply chain management as well as from sustainable supply chain literature that have a prime focus on environmental sustainability.

At present, scholars have thought little of the drivers for sustainable supply chain management (SSCM) in developing countries. Drawing upon the Theory of Planned Behaviour (TPB) and Competing Value Framework (CVF) of organisational culture, this study investigates how the drivers for SSCM motivate Chinese firms to adopt SSCM practices and how such effects are moderated by organisational culture. The results of a survey of 209 firms in China suggest that the eight driving factors for SSCM have significantly impact on SSCM adoption. In addition, organisational culture plays different roles in the relationships between these three dimensions of the driving force and SSCM adoption. Team-based culture and hierarchy culture do not moderate the relationship between SSCM drivers and practices. Market-oriented culture positively moderates the relationship between subjective norm and SSCM practices and negatively moderates the relationship between perceived behavioural control (PBC) and SSCM practices. Active culture has positive moderating effect on the relationship between attitude and SSCM practices, as well as between subjective norm and SSCM practices, but has negatively moderating effect on the relationship between PBC and SSCM practices. The study provides meanings insights into the implementation of SSCM in the context of developing countries.

This paper discusses the antecedences and consequences of supply chain transparency (SCT) in sustainable agrarian supply chain management using partial least squares regression in an empirical sample with 131 supply chains with lead firms in German-speaking countries (Germany, Austria and Switzerland). We investigated the effect of such structural antecedences as disintermediation, as well as the effect of governance tools similar to intensive communication, the integration of third parties in supply chain governance or the use of formal specifications on SCT. We found that all these antecedences are helpful in increasing SCT, while low developed countries of origin significantly reduced SCT. Then, the effects of SCT on the four main performance dimensions in sustainable supply chain management (SSCM), i.e. social, ecological, and operational performance and long-term relationship success, were verified. Higher SCT improves all four dimensions significantly, while the effect on operational performance is lowest. Supply chain transparency turns out to be a prerequisite or a basic indicator of good management in SSCM in agri-food supply chains.

In recent years, environmental sustainability has stimulated enterprises worldwide to not only develop green and sustainable innovations but also to move toward green and sustainable supply chain management. This study integrated the ideas of green supply chain management (GSCM) and sustainable supply chain management (SSCM) to define sustainable green supply chain management (SGSCM). Previous studies on GSCM/SSCM have contributed to research and practice, but few have explored the antecedents and consequences of GSCM/SSCM simultaneously. To address this research gap, we linked ecological modernization (EM) theory with SGSCM and sustainability performance to build a comprehensive research model. A total of 300 valid questionnaires were collected from electrical and electronics firms in Taiwan. The empirical results demonstrated that awareness of and pressure to engage in EM significantly positively affected SGSCM. Moreover, SGSCM significantly positively influenced sustainability performance (i.e. environmental, economic, and social performance). These findings should convince enterprises to actively promote SGSCM.

Purpose – Most sustainable supply chains are situated in dynamic environments, which leads to the assumption that management of such chains requires the application of dynamic management theories, such as the dynamic capabilities (DC) concept. In spite of this, DCs have only scarcely been taken up in (sustainable) supply chain management (SSCM) research. The purpose of this paper is twofold: first, to discuss the complementarities of DCs and SSCM research; and second, to develop a framework which integrates DCs in SSCM practices. Design/methodology/approach – The paper is conceptual in nature and grounded in SSCM and DC theory. Relevant literature from the SCM, SSCM and DC context has been scrutinized. In total, three models from SSCM and DC literature, together with related inputs from other literature sources, have been conjoined. Findings – DC and SSCM are linked through similar environmental and organizational conditions, making the application of DC concepts in the field of SSCM a logical choice. The framework embeds specific DCs into SSCM practices. Research limitations/implications – The presented framework is a step towards building an analytical basis for future empirical research in this area. Discussion on the nature of DCs is still going on, as well as on how to measure supply chain performance. The framework can only give indications and help in the theory building process. Furthermore, the underlying frameworks used for the development of the framework presented here have been derived through different methodologies and not all of them have, as yet, been (fully) empirically tested. Practical implications – Investment in DCs and implementation of SSCM practices improves the agility of the overall supply chain and can lead to higher performance against the three dimensions of sustainability. Originality/value – The paper is the first explicit framework linking SSCM and DC theory. The framework shows that the DC concept can be and indeed should be applied to SSCM research and practice. Furthermore, explicit DCs are put forward. It is a step towards building an analytical basis for future empirical research in this area.

The purpose of this paper is to investigate the mediating effect of food safety level on sustainable supply chain management (SSCM) practices and firm performance of the core firm of the food industry in China and we used data from 372 companies in the Chinese food supply chain for our research. Key informants evaluate their companies based on SSCM practices. The results were analyzed using structural equation modeling. The results show that SSCM practices are very important for the food firms, since they can improve the food safety level and further enhance the firms' economic, environmental, and social performances. The authors also found out that the food safety mediates the relationship between SSCM practices and environmental and social performance, and that if a food firm wants to make SSCM practices impact on the economic performance, it must pay attention to the responsibility for food safety in the internal SSCM practices. A comprehensive SSCM practices and firm performance model done empirically in food firms is proposed in conjunction with the mediating role of food safety level in this paper to provide new ideas and management methods for Chinese food firms to develop more effective food safety management.

In recent years, the interdisciplinary research of supply chains and sustainability has received extensive, yet gradual, attention; when compared to the rapid economic growth of the service industry, however, sustainable supply chain management has not been systematically explored yet. It has not only great theoretical significance, but also positive practical significance to provide a framework for the operation of a sustainable service supply chain from a sustainable development point of view. Based on the triple bottom line (TBL), we have analyzed related sustainable supply chain management research between 2006 and 2015, reviewed papers involving two or three bottom lines as well, and then introduced some classical frameworks for manufacturing supply chain management and service supply chain management. Afterward, by analyzing the differences between the manufacturing and service industries, we propose a framework of sustainable service supply chain management (SSSCM). Based on the impacts of sustainable development TBL on service supply chain participants, we have finally made a framework for sustainable operation facing triads service supply chain and proposed a future research agenda.

Motivated by the low sustainability index and pressure to meet the global demand for eco-friendly crude palm oil (CPO) in the pandemic-ridden environment, this research aims to investigate the implications of the COVID-19 pandemic to assess the drivers of sustainable supply chain management (SSCM) of the Indonesian CPO sector to tackle supply chain disruptions. To achieve this aim, the study seeks to determine the sustainability drivers to accommodate the pandemic-ridden environment and if sustainability indicators can help improve the supply chain management of the CPO sector. A methodology is divided into two interrelated parts: first, based on a careful review of extant literature of the CPO sector and sustainable supply chain in the light of pandemic. The proposed methodology is then tested using the response data of 108 oil mills' representatives collected through survey questionnaires and analyzed using statistical tools of reliability, distribution, Kaiser–Meyer–Olkin (KMO), Confirmatory Factor Analysis (CFA), and diagnostic tests of CFA. The findings designate the environmental costs, rapidity, and adaptability as core economic indicators; the social and workforce development, health, and safety workforce development and consumer issues as crucial social indicators; while energy and material efficiency, management of waste and emissions, and sustainable suppliers as the best environmental indicators. This study provides a holistic platform on the implications of the pandemic to assess the SSCM of the CPO sector. These findings are expected to aid the industrial managers in employee skills and health protocols, customer service, and environmental management. The study is also anticipated to guide the supply-chain partners and government policymakers to take initiatives on SSCM in the context of the pandemic.

Supply chain management (SCM) increasingly needs to address both climate change mitigation and adaptation issues. While mitigation aims at sustainability by reducing the environmental impact of supply chains (SCs), adaptation entails improving resilience by increasing the ability to cope with climate-induced disruptions. Although sustainable SCM (SSCM) and resilient SCM (RSCM) are of increasing importance, there has been little effort to conceptually connect SSCM and RSCM. Our study explores the interconnections between both concepts by outlining theoretical elements and conducting a case study of four companies in the automotive SC based on company documents and interviews. Results show that SSCM is prioritised over RSCM. We furthermore highlight trade-offs and overlaps between the elements of SSCM and RSCM, which can be valuable for decision-makers, and introduce two enabling factors: transparency and diversity. We present a novel theoretical SCM framework that integrates both resilience and sustainability perspectives and make propositions for future research.

PurposeThere is limited knowledge of the sustainable halal food supply management in Brunei Darussalam (Brunei), although it is reputable in the halal economy and advocates the United Nations (UN) Sustainable Development Goals (SDGs). Therefore, this paper highlights issues faced in a small, rentier halal market and proposes sustainable supply chain management (SSCM) initiatives for halal-certified food companies in Brunei.Design/methodology/approachThis paper draws data from published academic research and employs a normative and narrative assessment of SSCM and halal supply chain literature.FindingsFour normative SSCM initiatives and propositions that could be implemented by Brunei halal-certified food businesses in achieving the SDGs are highlighted: responsible sourcing, environmental purchasing, sustainable packaging and green transportation.Practical implicationsThis viewpoint paper provides a basis for achieving the “Brunei Vision 2035” through a sustainable supply chain lens that may increase well-being and develop a productive and sustainable economy. It also lays a foundation for realising the SDGs, specifically Goal 12 of Sustainable Consumption and Production.Originality/valueThe dedicated attention to smaller halal markets, such as Brunei, would enrich the literature, reveal unforeseen issues or address gaps in the domains of SSCM and halal food supply chains.

Understanding different aspects of sustainability, supply chain management (SCM), and decision making policies and relating them to performance measurement have been increasingly investigated in the last decade. In contrast to traditional SCM, which typically focuses on economic and financial business performance, sustainable SCM (SSCM) is characterized by explicit integration of environmental or social objectives which extend the economic dimension. For evaluating the sustainability of SCM as well as its greenness, we have to consider many and different index and criteria. One of the best tools for assessing the SSCM and GSCM is multicriteria decision making (MCDM) techniques. Many studies have been conducted in this area. Moreover, there are many uncertainty factors which may reduce the accuracy of MCDM result. Actually, Uncertainty is always a worsening factor in any decision support models, and dilutes the planned objectives of such models. For decreasing this uncertainty, fuzzy logic has been combined with MCDM approach. In fact, the main purpose of this chapter is considering the recent studies in area of SSCM and GSCM regarding to applications of fuzzy MCDM techniques. At the end of this chapter, based on out investigations in applications of fuzzy MCDM in SSCM and GSCM and regarding to research gaps, some suggestions for future studies have been proposed.

Prior studies in sustainable supply chain management (SSCM) fail to address collaboration in the supply chain and lean management in conjunction with economic benefits. Collaboration in the supply chain and lean management have to integrate into SSCM, which involves social, economic and environmental aspects. This study aims to establish a framework to understand the seafood industry in Vietnam and to enhance its performance. This framework proposes 5 aspects and 21 criteria, and these aspects involve qualitative information. Fuzzy set theory is applied to deal with the complexity of and uncertainty in the linguistic preferences. The fuzzy Delphi method is employed to test the reliability and validity attributes. A decision-making trial and evaluation laboratory is to assess the interrelationships among the attributes. Sensitivity analysis is adopted to address subjective robustness and objective perceptions. The results show that the aspects of collaboration in the supply chain and lean management drive economic benefits.

The purpose of this research is to investigate how sustainability is integrated into supply chain management (SCM). Emphasis is particularly devoted to determining how the sustainability of supply chains may be assessed. Four key objectives were developed to support this purpose: (1) define sustainable supply chain management (SSCM), (2) identify and analyze the published metrics for SSCM, (3) develop a comprehensive approach for assessing sustainability performance at the company level, and (4) develop an integrative sustainability performance framework for the broader context of supply chain. The first two objectives were accomplished through two different sets of in-depth literature reviews. The reviews focused on analyzing the convergences and divergences in the literature on green supply chain management (GSCM), SSCM, and the metrics used in these areas. The reviews helped provide the basis for accomplishing the remaining research objectives. Accordingly, stochastic models for measuring sustainability performance at the company and supply chain levels were developed. This research addresses several important gaps in the literature. As research on the integration of sustainability into SCM continues to expand, it becomes increasingly important to highlight the inconsistencies in the various definitions and metrics used to measure GSCM and SSCM. The lack of reasonably consistent definitions and metrics may lead to confusion regarding the appropriate scope in theory and practice of SSCM initiatives. Exploring the implications of and potential resolutions to the many differences in the published definitions and metrics provide much needed reference points, and further provide the foundation necessary to support the development of scientifically-sound sustainability models. By providing relatively simple and informative measurement, the model developed in Objective 3 presents a unique method of adopting the strong sustainability concept to assessing sustainability at the company level. Furthermore, by providing an original and straightforward analytical approach, the SSCM models developed in Objective 4 are one of the first to explicitly adopt probabilistic approaches for sustainability assessment in the supply chain context. Given their unique ability to accommodate any number of SSCM characteristics, the models can be employed as integrative, multi-dimensional tools for evaluating changes in the sustainability status of a supply chain over time.

The purpose of this research is to investigate how sustainability is integrated into supply chain management (SCM). Emphasis is particularly devoted to determining how the sustainability of supply chains may be assessed. Four key objectives were developed to support this purpose: (1) define sustainable supply chain management (SSCM), (2) identify and analyze the published metrics for SSCM, (3) develop a comprehensive approach for assessing sustainability performance at the company level, and (4) develop an integrative sustainability performance framework for the broader context of supply chain. The first two objectives were accomplished through two different sets of in-depth literature reviews. The reviews focused on analyzing the convergences and divergences in the literature on green supply chain management (GSCM), SSCM, and the metrics used in these areas. The reviews helped provide the basis for accomplishing the remaining research objectives. Accordingly, stochastic models for measuring sustainability performance at the company and supply chain levels were developed. This research addresses several important gaps in the literature. As research on the integration of sustainability into SCM continues to expand, it becomes increasingly important to highlight the inconsistencies in the various definitions and metrics used to measure GSCM and SSCM. The lack of reasonably consistent definitions and metrics may lead to confusion regarding the appropriate scope in theory and practice of SSCM initiatives. Exploring the implications of and potential resolutions to the many differences in the published definitions and metrics provide much needed reference points, and further provide the foundation necessary to support the development of scientifically-sound sustainability models. By providing relatively simple and informative measurement, the model developed in Objective 3 presents a unique method of adopting the strong sustainability concept to assessing sustainability at the company level. Furthermore, by providing an original and straightforward analytical approach, the SSCM models developed in Objective 4 are one of the first to explicitly adopt probabilistic approaches for sustainability assessment in the supply chain context. Given their unique ability to accommodate any number of SSCM characteristics, the models can be employed as integrative, multi-dimensional tools for evaluating changes in the sustainability status of a supply chain over time.