The Economic Aspect of Sustainable Supply Chain Management

Author(s):  
Joëlle Morana
2015 ◽  
Vol 77 (27) ◽  
Author(s):  
Chairul Saleh ◽  
Raisa Rahma Agitya ◽  
Huda Muhammad Badri ◽  
Baba Md. Deros

Sustainable supply chain management (SSCM) has appeared to be important in business practices in order to survive in the competition. Sustainable performance assessment, that includes economic, social, and environmental aspects need to be given due attention by the business players in order to understand the position of the company so that it can fulfill customer satisfaction. In this research, each of the aspects is measured using different methods. The Economic performance assessment is represented using the Supply Chain Operation Reference (SCOR) model that helps in measuring the success of a supply chain operation. It uses 15 indicators deemed relevant in the Make-to-Stock production typology that is distributed into five performance attributes. The economic assessment is then obtained through these performance attributes that result in 97.5% in agility, 92% in cost, 78.2% in reliability, 72% in asset management, and 40.67% in responsiveness. Meanwhile, the social performance assessment is directed at employee's welfare. Questionnaires are distributed to 30 employees to measure company's commitment to address their social issues. It results in a perfect score as 100% in fair salary, annual allowance, and training, while health insurance and safety equipment only cover 70% and 30%, respectively. The environmental aspect is noticed on the wastewater management, since it mainly contributes for company's waste. The assessment lies on the liquid contamination test and is compared to the maximum standard level, set by the government. Environmental assessment shows 76.8% in acidity, 71.93% in Biological Oxygen Demand (BOD), 33.15% in temperature, and 0% in both Total Suspended Solid (TSS) and Chemical Oxygen Demand (COD). While this research is focusing on improving the performance in the supply chain process (Economic aspect), which is the worst assessment in the economic aspect, which is responsiveness, it is selected to be improved to reach an optimum performance. Therefore, the operation-overlapping approach is applied in the scheduling of the production process to improve company’s responsiveness, which is from 40.67% to 60.67%.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.


2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.


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