Stakeholders' involvement in green supply chain: a perspective of blockchain IoT-integrated architecture

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Santosh B. Rane ◽  
Shivangi Viral Thakker ◽  
Ravi Kant
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Automobile Industry ◽  
Critical Success Factors ◽  
Success Factors ◽  
Use Cases ◽  
Green Supply Chain ◽  
Content Type ◽  
Critical Success ◽  
Integrated Architecture

PurposeEnvironmental sustainability has become a primary factor for organisations to compete globally. Stakeholders' involvement with necessary commitment at the right stage of supply chain management (SCM) plays a vital role in development of green supply chain. This paper aims to explore the involvement aspect of stakeholders towards greening of the supply chain. The purpose of this paper is to identify the critical success factors for stakeholder involvement in development of green supply chain and develop use cases for managers and practitioners planning to implement recent technologies to support stakeholders' involvement.Design/methodology/approachAfter a thorough literature survey and interviews with experts from industry and academia, the factors for involvement of stakeholders for greening the supply chain were identified. A survey-based research has been used to collect primary data for effective people involvement in development of green supply chain. The decision-making trial and evaluation laboratory method is used for ranking the critical success factors. Effective implementation of success factors using merits of blockchain and internet of things (IoT) technologies are discussed. Use cases are developed for practitioners for using a blockchain IoT-integrated architecture.FindingsThe results show that criterion C21 (cooperation with buyer for green initiatives) is the most important for green supply chain, and criterion C5 (global customers) has least effect on greening the supply chain. Involving stakeholders in the green product design ensures improved efficiency of the supply chain. Merits of technologies like blockchain and IoT may be reaped successfully for incorporating critical success factors to develop green supply chain.Research limitations/implicationsThe research can further be extended by developing the research model with hypothesis and conducting a survey for validation. Automobile industry use cases are considered for this research, and it may be further developed for different industry sectors like process industries, service, etc.Practical implicationsManagers can make use of these 22 critical success factors and capabilities of the blockchain IoT-integrated architecture to successfully involve stakeholders. Practitioners/managers can dramatically change SCM with respect to the response speed, accuracy of decision-making, data acquisition, data storage and data accessibility, transparency, trust-building, opportunity of participation, communication quality, freedom in payment based on blockchain IoT-integrated architecture. Preventing pollution and converting the enterprises into green and sustainable organisations have created lot of concerns worldwide. This research addresses the issue of green initiatives and the role of stakeholders in improving the green status of industry.Originality/valueThough there is research on involving suppliers and customers in the supply chain activities, there is a significant delay in integrating human resource management in the supply chain. This research proposes integration of stakeholders using recent technologies for green supply chain. Use cases developed for the automobile industry gives path to future research in this domain.

Decision modelling of critical success factors for cold chains using the DEMATEL approach: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surya Prakash ◽  
Naga Vamsi Krishna Jasti ◽  
F.T.S. Chan ◽  
Nilaish ◽  
Vijay Prakash Sharma ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Value Chain ◽  
Critical Success Factors ◽  
Success Factors ◽  
Panel Study ◽  
Ice Cream ◽  
Cold Chain ◽  
Content Type ◽  
Critical Success

Purpose The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization. Design/methodology/approach A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain. Findings The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry. Practical implications The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat. Originality/value The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

Luxury supply chain management: a framework proposal based on a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maicom Sergio Brandao ◽  
Moacir Godinho Filho ◽  
Andrea Lago da Silva
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Critical Success Factors ◽  
Success Factors ◽  
Performance Goals ◽  
Chain Management ◽  
Content Type ◽  
Critical Success ◽  
The Relationship ◽  
Different Levels

PurposeThis study aims to identify the main elements that describe the luxury supply chain. It discusses the relationship between them in a framework that organises and summarises the literature.Design/methodology/approachA systematic literature review was conducted that returned 288 papers, which were selected based on specific quality and theme criteria. Content analysis was used to investigate the alignment of critical success factors with the performance goals and configuration elements of luxury supply chains in the final sample of 66 papers.FindingsThe results provide a framework that clarifies the relationship between the configuration elements and supply chain performance goals and the critical success factors for three different levels of the luxury market. Depending on the level of luxury, performance goals and configuration elements assume a different importance and different characteristics. An understanding of these differences is relevant for defining strategies and managing luxury supply chains properly. The three different configurations also reveal new research avenues to be further investigated.Research limitations/implicationsThe study is limited in terms of its data source as the papers reviewed were collected from only three academic databases.Practical implicationsThe findings of this work help incorporate knowledge about luxury supply chain management into a framework that can be easily used for defining strategies and organising the supply chain according to the different levels of luxury.Originality/valueThis study represents an important evolution in organising the current literature on luxury supply chain management into a framework that covers critical success factors, supply chain performance goals and configuration elements for three different levels of luxury, which in turn creates promising opportunities for future enquiry.

Identification and prioritization of critical success factors of knowledge management implementation using a novel hybrid group decision-making model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Behzad Ghasemi ◽  
Changiz Valmohammadi
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Hybrid Model ◽  
Group Decision Making ◽  
Critical Success Factors ◽  
Success Factors ◽  
Group Decision ◽  
Oil Industry ◽  
Content Type ◽  
Critical Success

Purpose The purpose of this study is to identify and prioritize the critical success factors (CSFs) of knowledge management (KM) implementation through a novel hybrid model, namely, Fuzzy Delphi method (FDM), interpretive structural modeling (ISM) and revised Simos, which is one of group decision-making (GDM) approaches. Design/methodology/approach The CSFs of KM implementation were identified through a systematic literature review. FDM was adopted to determine the CSFs in the Iranian oil industry. Then, a novel hybrid model consisting of ISM and revised Simos techniques were used to classify and prioritize the CSFs. Findings The obtained results suggest that there are 13 CSFs of KM implementation. The result of ISM shows that the CSFs of KM implementation were classified into five levels. The result of revised Simos reveals that the “human resources management” obtained the highest priority and “leadership commitment and support” and “intellectual capital” ranked second and third, respectively. Research limitations/implications As this research was performed in the Iranian oil industry, caution should be taken regarding the generalizability of the obtained results. Practical implications The top managers of the surveyed companies could get acquainted with CSFs of KM implementation in their organization and use a GDM technique that has various advantages to solve the relevant problems. Originality/value This paper provides a twofold contribution to expand KM and GDM literature and to the best knowledge of the authors, it is a novel hybrid GDM model of its kind.

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