Assessing sustainability risks in the supply chain of the textile industry under uncertainty

Raian, Shahriar; Ali, Syed Mithun; Sarker, Md. Rayhan; Sankaranarayanan, Bathrinath; Kabir, Golam; Paul, Sanjoy Kumar; Chakrabortty, Ripon K.

doi:10.1016/j.resconrec.2021.105975

Cited by 40 publications

(23 citation statements)

References 57 publications

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“…Because of the increasing focus on cost-based outsourcing and growing concerns of the stakeholders related to the environment, society, and technology, supply chain sustainability is considered as important in both the developed and emerging economies (Paul, Ali, Hasan, Paul, & Kabir, 2022) and sustainability has gained much importance due to the strategic advantage (Raian et al, 2022). Therefore, the present study examines big data analytics in the Pakistani context, particularly from Pakistan's multinational companies.…”

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Nisar

Haider

Ameer

et al. 2022

IJOEM

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PurposeBig data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.Design/methodology/approachThis study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.FindingsThe findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.Originality/valueThe paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

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Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Nisar

Haider

Ameer

et al. 2022

IJOEM

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show abstract

“…FSEM has numerous advantages when compared with other risk assessment methods. Under uncertain BIJ 30,8 conditions, FSEM aids in converting qualitative data of experts into quantitative variables (Raian et al, 2022;Tsai et al, 2021).…”

Section: Fuzzy Synthetic Evaluation Methodology (Fsem)mentioning

confidence: 99%

Evaluation of risk factors in Ghanaian public-private-partnership (PPP) power projects using fuzzy synthetic evaluation methodology (FSEM)

Kukah

Owusu‐Manu

Badu

et al. 2022

BIJ

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PurposeThis paper aims to evaluate the risk factors and determines the overall risk level (ORL) of public-private-partnership (PPP) power projects in Ghana using fuzzy synthetic evaluation methodology (FSEM).Design/methodology/approachIn this paper review of literature led to the development of a 67-factor risk list which was ranked by experts and industry practitioners through a questionnaire survey.FindingsThese factors were grouped into principal risk factors (PRFs) using component analysis and they served as the input variables for fuzzy analysis. The seven components were: Contract and Payment risks, Environmental risks, Financial and Cost risks, Legal and Guarantee risks, Operation risks, Socio-Political and Performance risks (SPR) and Tender and Negotiation risks. Study showed that the ORL of Ghanaian PPP power projects is high implying they are risky to both the public and private sectors. Fuzzy analysis also confirmed SPR as the most critical principal factor.Originality/valueThis study is significant and demonstrates that fuzzy methodology can be used as a useful risk evaluation tool and risk assessment framework for private investors, policy makers and public sector.

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“…Valinejad and Rahmani ( 2018 ) pointed out in the case of telecom companies that greenhouse gas emissions and electromagnetic radiation will bring many health problems to people and bring considerable risks to the management of the supply chain. Environmental problems are particularly important in the textile industry, because many chemicals used in the textile manufacturing process are toxic and cause pollution to air, water, and soil, and these contaminations are one of the important risks for SSC in the textile industry (Raian et al 2022 ).…”

Section: Logic Diagram Of Risk Management In Sustainable Supply Chainmentioning

confidence: 99%

Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model

Wang

Cheng

Wang

2022

Environ Sci Pollut Res

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The global spread of COVID-19, international trade protectionism, geopolitical conflicts, and climate change presents challenges and risks to sustainable supply chains (SSCs). In recent years, scholarly interest in sustainable supply chain risk management (SSCRM) has continued to rise. A helpful literature review is necessary to enable supply chain practitioners to apply empirical findings from academic research or conceptual frameworks to their operations to maintain the stability and competitiveness of sustainable supply chains. The knowledge map of SSCRM is explored in this study using both quantitative and qualitative analysis. A total of 793 articles were retrieved to reveal the knowledge map of SSCRM. Scientometric and context analysis are combined in quantitative analysis to identify the intellectual structure of risk management research related to SSC. Then, a critical review is conducted in qualitative analysis to summarize and analyze the motivations, strategies, approaches, and tools of SSCRM. Combining the quantitative and qualitative analysis results, a conceptual model is constructed for SSCRM from three aspects: (1) risk identification, (2) risk assessment, and (3) risk mitigating and responding. Finally, future research directions are suggested based on the conceptual model for guiding the theories and practice of SSCRM. This study can work as a roadmap for providing appropriate risk management policies and toolkits to SSC, which could advance theoretical thinking on how to mitigate SSC risks.

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Assessing sustainability risks in the supply chain of the textile industry under uncertainty

Cited by 40 publications

References 57 publications

Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Evaluation of risk factors in Ghanaian public-private-partnership (PPP) power projects using fuzzy synthetic evaluation methodology (FSEM)

Risk management in sustainable supply chain: a knowledge map towards intellectual structure, logic diagram, and conceptual model

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