Managing Information Processing Needs in Global Supply Chains: A Prerequisite to Sustainable Supply Chain Management

2016 ◽  
Vol 53 (1) ◽  
pp. 87-113 ◽  
Author(s):  
Christian Busse ◽  
Jan Meinlschmidt ◽  
Kai Foerstl
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Global Supply Chains ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Sustainable Supply Chain Management

2011 ◽  
pp. 136-152
Author(s):  
Iskra Dukovska-Popovska ◽  
Malcolm Bertoni ◽  
Hans-Henrik Hvolby ◽  
Paul Turner ◽  
Kenn Steger-Jensen
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Environmental Drivers ◽  
Sustainable Supply Chain ◽  
Green Logistics ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Efficiency Cost

Integrating environmental considerations into supply-chain management has become an increasingly important issue for industry, government and academic researchers. Supply chain managers are being required to respond to the challenges of new legislation, standards and regulations; changing customer demands; drivers for efficiency, cost effectiveness and return on investment; while simultaneously being ‘green’. The fundamental tension between business and environmental drivers is difficult, but critical to understanding how to effectively re-engineer and re-design existing supply chains in a manner that is sustainable both financially and environmentally. Information systems have a significant role to play in supporting corporate responses to environmental management and the development of holistic green logistic solutions. This chapter examines contemporary discussions on the current state of sustainable supply-chain management and green logistics. It presents a case study from the Fujitsu Corporation in Japan and explores models of information systems and RFID use in green logistics. Combining insights from the case and existing models the chapter explores an example of how a combined model can be used to explore the potential of a specific emerging technology (RFIDs) in ‘greening’ supply chains.

scholarly journals The Sustainable Supply Chain: Concepts, Optimization and Simulation Models, and Trends

Ingeniería ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 355-377
Author(s):  
Janna Paola Gamboa Bernal ◽  
Javier Arturo Orjuela Castro ◽  
Carlos Eduardo Moreno Mantilla
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Simulation Models ◽  
Sustainable Supply Chain ◽  
Research Issues ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Optimization And Simulation ◽  
New Research

Context: The environmental and social dimensions of performance are of great importance, given that they must be incorporated into strategic, tactical, and operational objectives in companies and supply chains to minimize negative impacts on the environment and society. Method: After reviewing the Scopus, Web of Science, and ScienceDirect databases for the topics of sustainability and supply chain management, a state of the art of green and sustainable supply chain management is presented, aiming to guide readers towards a synthesis of related concepts and future lines of research. Results: The reader is introduced to concepts and trends around the field of green and sustainable supply chain management to raise interest in new research and practices to guide the implementation of sustainability in organizations and their supply chains. Conclusions: Sustainable supply chain management still faces several academic and practical challenges in terms of implementation, performance measurement, and how models can capture a dynamic and uncertain social and environmental context. There are latent research issues such as management of the circular supply chain, applications in emerging economies, or the application of 4.0 technologies.

scholarly journals Creating Competitive Advantage through Sustainable Supply Chains: A Theoretical Framework for the Assessment of Practices, Dynamic Capabilities, and Enterprise Performance of Manufacturing Firms

2019 ◽  
Vol 8 (4) ◽  
pp. 7863-7875
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Dynamic Capabilities ◽  
Manufacturing Firms ◽  
Knowledge Generation ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Chain Management ◽  
Sustainable Supply Chain Management

The continuous enhancement and network complexity of Global supply Chains (G-SC)are accentuating the need of incorporating social, economic and ecological dimension (Also known as Triple- Bottom Line (TBL)) in strategic planning. Therefore, the blending business aims with Sustainable Supply Chain Management (S-SCM) practices and dynamic capabilities has steadily increased in improving the firm’s performance. In this paper an attempt is made to conceptualize a scale for measuring the Sustainable- supply chain management (S-SCM) practices, development of sustainable capabilities of manufacturing firms while evaluating the performance of the organization on TBL. Based on systematic review, the researchersh as identified five major determinants of S-SCM practices, namely Supply-Chain Coordination & Trust (S-CCT); Supply-Chain Learning (S-CL); Supply-Chain Continuity(S-CC); Supply-Chain Orientation(S-CO) and Supply -Chain Risk Management(S-CRM) and further additional five determinants were identified as Supply-Chain Dynamic Capabilities (S-CDC): Knowledge generation and absorptive capacity of the firm (KG-AC);Demand-0rientation(D-O), Innovative-Ability(I-A), Renovation Ability(R-A) and Social Network enhancement-Ability (SNE-A).Further three determinants of S-SCM performance namely Environmental-Performance (E-P); Social-Performance (S-P) and Economic- Performance(E-P) are identified. In order to collect data from 172 automobile and electronic goods companies in India, a research survey was being carried out. The SEM measurement and Structural Model Analysis was carried to find the association between the three determinants. The result of the analysis makes a significant contribution to SCM literature. The research outcomes of this research aim to enable practitioners to design execute and monitor the different elements of S-SCMfirm level activities, its dynamic capabilities and assess the effect of these activities on the firms’ operational efficiency.

scholarly journals Supplier Selection for the Adoption of Green Innovation in Sustainable Supply Chain Management Practices: A Case of the Chinese Textile Manufacturing Industry

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 717
Author(s):  
Yun Yang ◽  
Ying Wang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Management Practices ◽  
Sustainable Supply Chain ◽  
Manufacturing Companies ◽  
Green Innovation ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Textile Manufacturing

Globally, increasing environmental issues are gaining attention to facilitate the adoption of green innovation for sustainable supply chain management (SSCM). Sustainable environmental practices have been well-considered in the literature; however, no study has focused on adopting green innovation practices for sustainable development. Thus, environmental management authorities are putting pressure on industries to implement green innovation criteria for SSCM operations. Moreover, it is important to select traditional suppliers to transform its practices to that of sustainable supply chains in order to achieve the industry’s sustainable supply chain goals. In response, this research identified and analyzed the green innovation criteria for SSCM and then selected a supplier that could implement green aspects in the SSCM. This study developed an integrated multi-criteria decision making (MCDM) model using the fuzzy analytical hierarchy process (FAHP) and the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). The objective of this study was to analyze suppliers to implement green innovation criteria for SSCM practices in the textile manufacturing companies of China. This study reviewed and identified three green innovation criteria and seventeen sub-criteria. Then, the FAHP technique was employed to analyze and rank green innovation criteria and sub-criteria. Finally, the FTOPSIS method was used to investigate and rank eight suppliers. The findings of the FAHP indicated that economic (EC) criteria were the most vital green innovation criteria in the SSCM. Furthermore, the FTOPSIS results revealed that supplier 5 was the most suitable supplier for implementing green innovation criteria in the SSCM. These findings will help managers, practitioners, and policymakers implement green innovation criteria in sustainable manufacturing supply chains.

Framing sustainability performance of supply chains with multidimensional indicators

2014 ◽  
Vol 19 (3) ◽  
pp. 242-257 ◽  
Author(s):  
Mohsen Varsei ◽  
Claudine Soosay ◽  
Behnam Fahimnia ◽  
Joseph Sarkis
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Social Performance ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Sustainable Supply Chains ◽  
Trade Offs

Purpose – This paper aims to provide a framework which can assist focal companies in the development of sustainable supply chains. Sustainable development from an industrial perspective has extended beyond organisational boundaries to incorporate a supply chain approach. Design/methodology/approach – The literature related to sustainable supply chain management is reviewed by incorporating concepts from four organisational theories, including the resource-based, institutional, stakeholder and social network perspectives, to illustrate key drivers and enablers of sustainability initiatives in the supply chain. A conceptual multidimensional framework is then developed that can be used for the initial assessment of supply chain sustainability. Findings – Development and assessment of sustainability in supply chains are being increasingly incorporated as part of supply chain management today. This paper presents a multidimensional framework which can serve as a tool for research scholars and supply chain practitioners in identifying and assessing various economic, environmental and social performance indicators. Research limitations/implications – The framework and approach presented are conceptual, and require additional and broader validation. Additional theories, at differing levels, such as individual behaviour theory, should be utilised to further enhance and evaluate the framework. Developing and integrating analytical models for prescriptive and practical supply chain solutions can enhance the applicability of the framework. Practical implications – The framework adopts a multidimensional approach to assessing and designing sustainable supply chains, as it not only incorporates economic and environmental dimensions but also provides a practical approach to quantifying and embedding the social dimension into decision-making. The framework helps industry practitioners in initial exploration of trade-offs among economic, environmental and social performance of supply chains, which, in turn, could assist them in creating a business case for sustainability. Originality/value – The paper is one of few studies that incorporates some of the key aspects of all three dimensions of sustainability in a single overarching framework for supply chains and offers significant theoretical contribution and implications for sustainable supply chain management.

scholarly journals Motivating Factors for Implementing Apparel Certification Schemes—A Sustainable Supply Chain Management Perspective

2020 ◽  
Vol 12 (12) ◽  
pp. 4823 ◽  
Author(s):  
Nelly Oelze ◽  
Tim Gruchmann ◽  
Marcus Brandenburg
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Performance Outcomes ◽  
Comparative Case Study ◽  
Limited Attention ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Strategic Factors

The motivations for clothing companies to implement dedicated certification schemes as sustainability practices has received limited attention in sustainable supply chain management (SSCM) research so far. Therefore, it is important to understand how different rationales for the implementation of certification schemes have developed in the past because they considerably influence the overall success of sustainability management efforts. This paper picks up on this gap and presents the results of an in-depth comparative case study drawing on interviews conducted with five managers of three companies from the clothing sector in 2018 and abductive content analysis. By applying such a qualitative approach, this study explores motivations and benefits as well as elaborates on the implementation of certification schemes in apparel supply chains. It outlines that certification in the clothing sector is driven by strategic factors, marketing considerations, and information considering sustainability aspects. The study also shows that certification schemes may strengthen the marketing and competitive position of clothing companies as well as sustainability awareness in textile and apparel supply chains in general. Finally, a framework conceptualized from the findings of the interviews presents relevant SSCM practices in the clothing industry. Therefore, the present study contributes to theory building in SSCM by confirming and extending previous research on the implementation of certification schemes for sustainability, as well as to practice by examining reasons to apply certification schemes and potential performance outcomes.

Squaring the circle

2014 ◽  
Vol 19 (3) ◽  
pp. 292-305 ◽  
Author(s):  
Johanne Grosvold ◽  
Stefan U. Hoejmose ◽  
Jens K. Roehrich
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Management Practices ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Sustainability Performance ◽  
Tightly Coupled

Purpose – The purpose of this study is to evaluate the relationships between management, measurement and performance of sustainability in supply chains. The authors develop a framework which explores these links through decoupling as articulated by the institutional theory. They draw on a conceptual continuum of reactive-proactive sustainable supply chain practices and identify clusters of companies along these dimensions and evaluate the theoretical and managerial implications of this for sustainability performance. Design/methodology/approach – This study uses primary and secondary datasets from 12 inductive, multiple case studies across different industries. This method ensures that we are better able to encapsulate a broader and more diverse set of practices and settings which in turn adds robustness to the theory we induced from our findings. Findings – The authors find varying degrees of alignment between management practices and measurement systems of sustainable supply chains. Some firms better align their sustainable supply chain management and measurement practices than others, resulting in tighter coupling and ultimately improved sustainability performance in the supply chain. Research limitations/implications – Further research may explore the conditions under which firms decouple their practices and the contextual settings that are associated with decoupling, loosely and tightly coupled alignment. Additionally, the conceptual framework should be tested across countries, industries and different relationships between public and private organisations. Originality/value – This is one of the first empirical explorations of the decoupling theory and the reactive-proactive continuum in sustainable supply chain management.

scholarly journals Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains

2021 ◽  
Vol 13 (13) ◽  
pp. 7101
Author(s):  
Joash Mageto
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Data Analytics ◽  
Social Issues ◽  
Big Data Analytics ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Sustainable supply chain management has been an important research issue for the last two decades due to climate change. From a global perspective, the United Nations have introduced sustainable development goals, which point towards sustainability. Manufacturing supply chains are among those that produce harmful effluents into the environment in addition to social issues that impact societies and economies where they operate. New developments in information and communication technologies, especially big data analytics (BDA), can help create new insights that can detect parts and members of a supply chain whose activities are unsustainable and take corrective action. While many studies have addressed sustainable supply chain management (SSCM), studies on the effect of BDA on SSCM in the context of manufacturing supply chains are limited. This conceptual paper applies Toulmin’s argumentation model to review relevant literature and draw conclusions. The study identifies the elements of big data analytics as data processing, analytics, reporting, integration, security and economic. The aspects of sustainable SCM are transparency, sustainability culture, corporate goals and risk management. It is established that BDA enhances SSCM of manufacturing supply chains. Cyberattacks and information technology skills gap are some of the challenges impeding BDA implementation. The paper makes a conceptual and methodological contribution to supply chain management literature by linking big data analytics and SSCM in manufacturing supply chains by using the rarely used Toulmin’s argumentation model in management studies.

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