scholarly journals Green sustainable supply chain under cap and trade regulation involving Government introspection

2022 ◽  
Author(s):  
Arpita Paul ◽  
Bibhas C Giri
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Carbon Emission ◽  
Selling Price ◽  
Sustainable Supply Chain ◽  
Manufacturing Companies ◽  
Sustainability Performance ◽  
Reduce Carbon Emission ◽  
Demand Patterns ◽  
The Relationship

This paper investigates Government intervention in a three-echelon supply chain comprising one manufacturer and one retailer. Government is the top level member trying to reduce environmental impacts based on the amount of carbon emission during the production process. Government controls the chain by collecting tax from the retailer which is indirectly paid by the customer and paying subsidy/imposing ne on the manufacturer. Government encourages manufacturer to reduce carbon emission by contributing some subsidy and also makes an e ort to generate Government net revenue (GNR) by imposing tax. The GNR is generated by collecting tax from the retailer on the sold product and penalty from the manufacturer at the trading price for the extra amount of emissions. The retail price is decided based on the selling price, tax and greening level. We aim to determine optimal levels of pricing, greening and amount of tax to be levied. The models for both linear and iso-elastic demand patterns are developed. The aim of this piece research is two-fold: (i) review the existent literature on the relationship between environ- mental collaboration and sustainability performance and (ii) render a tenable prototype of supply chain to illuminate the relationship between sustainability and profitability. According to the aforesaid goals this paper has carried out a detailed empirical research by using advanced structural equation modelling approaches. The research findings will be particularly important for manufacturing companies struggling to find techniques to achieve sustainability performance. Also it will aid the supply chains in developing environmental collaboration with the Govt. in order to attain the targets of GSCM.

scholarly journals Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis

2019 ◽  
Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Structural Equation ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Sustainable Supply Chain ◽  
Policy Makers ◽  
Sustainability Performance ◽  
Equation Modelling ◽  
Improvement Measures

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.

scholarly journals Sustainable supply chain management and financial performance: An empirical analysis of Turkish manufacturing companies

2021 ◽  
Vol 9 (3) ◽  
pp. 908-921
Author(s):  
Deniz Özbay
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Financial Performance ◽  
General View ◽  
Sustainable Supply Chain ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Firm Financial Performance ◽  
The Relationship

The linkage between sustainable supply chain management (SSCM) and financial performance has attracted increasing interest from both researchers and practitioners. Although many have argued that the SSCM practices improve financial performance, empirical studies have produced mixed results, and the direction of the relationship is still unclear.  This study examined the relationship between SSCM and financial performance for Turkish manufacturing companies. Financial performance was measured using ROA, ROE and price to book ratio, while SSCM performance was measured with a new multivariable performance indicator. Financial performance data were obtained from the Bloomberg Database, while SSCM data were collected from non-financial reports using content analysis. The total sample included 47 manufacturing companies listed in Borsa İstanbul, covering 584 firm-year observations for 2007-2019. Panel data regression analysis was used to test the relationship between SSCM and financial performance. Similar to the literature's general view, the findings support a positive linear relationship between SSCM and firm financial performance.

scholarly journals Supply Chain integration and Sustainable supply chain performance: A case of Manufacturing firms from UAE

2018 ◽  
Vol 7 (4.7) ◽  
pp. 424 ◽  
Author(s):  
Rashid Ahmed Khamis al Naqbi ◽  
Rosman Bin MD Yusoff ◽  
Fadillah Binti Ismail
Keyword(s):  
Supply Chain ◽  
Primary Objective ◽  
Mediating Effect ◽  
Supply Chain Performance ◽  
Model Assessment ◽  
Sustainable Supply Chain ◽  
Manufacturing Companies ◽  
Supplier Integration ◽  
Internal Integration ◽  
The Relationship

Sustainability is becoming a more important factor in the processes of organizations. Supply chains management (SCM) has acknowledged a great deal of interest by researchers and practitioners. The primary objective of the current research paper is to examine the relationship between internal integration and sustainable supply chain performance. In addition to that, the study has focused on the mediating effect of supplier integration and customer integration in the relationship between key between internal integration and sustainable supply chain performance. The study focuses on manufacturing enterprises of UAE under subject investigation and its relationship with sustainability goals. A detailed literature has been reviewed critically to develop the hypothesis of the study. A questionnaire survey was adopted to collect data from supply chain managers of manufacturing companies. Smart PLS 3 (SEM) is used to analyze the collected data. The results of the study have shown a great deal of agreement with the proposed hypothesis. Analysis of the study is divided into two major parts. Part one is based on an outer model assessment in which reliability and validity were examined. The second part is based on an inner model assessment in which hypotheses were tested. The result of the study will be useful for policymakers and researchers in understanding the emerging role of environmental concerns in strategic management and operational management.   

scholarly journals Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling

2018 ◽  
Vol 294 (1-2) ◽  
pp. 623-653 ◽  
Author(s):  
Chrisovalantis Malesios ◽  
Prasanta K. Dey ◽  
Fuad Ben Abdelaziz
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Performance Measurement ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Balanced Score Card ◽  
Sustainable Supply Chain ◽  
Sustainability Performance ◽  
Relationship Of

AbstractSustainability of small and medium sized enterprises (SMEs) is significant as SMEs contribute to GDP substantially in every economy. This research develops an innovative sustainable supply chain performance measurement model for SMEs. Prior researches predominantly use balanced score card (BSC) approach that presume causal relationship of criteria and Data Envelopment Analysis (DEA), which derive efficiency of units from a few input and output criteria. While DEA is effective for policymakers, BSC is more suitable for individual SME. The proposed method that uses structural equation modeling (SEM) approach to derive the relationship of criteria and criteria weights formulates regression-type models for a specific region as well as for specific SME. The SEM-based supply chain sustainability performance measurement model is beneficial to policymakers as they can determine means for improvement at a regional level. The proposed method could also facilitate managers/owners of individual SMEs with measures for improving their supply chain sustainability performance. The method has been applied to three varied geographical locations in the UK, France and India in order to demonstrate its effectiveness.

Examining the impact of strategic supplier partnership, customer relationship and supply chain responsiveness on operational performance: the moderating effect of demand uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jitendra Nenavani ◽  
Rajesh K. Jain
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Demand Uncertainty ◽  
Moderating Effect ◽  
Customer Relationship ◽  
Operational Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to examine the impact of strategic supplier partnership and customer relationship on supply chain responsiveness and then to analyse the influence of supply chain responsiveness on operational performance in the manufacturing industry in India. In addition to that, this study also investigates the moderating effects of demand uncertainty on the relationship between strategic supplier partnership–supply chain responsiveness and customer relationship–supply chain responsiveness. Design/methodology/approach A structured self-administered questionnaire was developed to collect data from manufacturing companies in India. This study performed the structural equation modelling and moderated regression for testing the hypotheses after ensuring the validity and reliability of identified constructs. Findings Strategic supplier partnership and customer relationship positively influence supply chain responsiveness, and supply chain responsiveness also positively impacts operational performance. In addition to that, demand uncertainty negatively moderates the relationship between strategic supplier partnership and supply chain responsiveness. However, demand uncertainty does not significantly affect the relationship between customer relationship and supply chain responsiveness. Originality/value Strategic supplier partnership and customer relationship are firstly investigated as antecedents of supply chain responsiveness. To the best of the author’s knowledge, this study is one of the first to examine the moderating effect of demand uncertainty on the relationship between supply chain practices (strategic supplier partnership and customer relationship) and supply chain responsiveness.

scholarly journals An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries

2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Service Providers ◽  
Telecommunications Industry ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
The Relationship

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.

scholarly journals The relationship between the logistics complexity of manufacturing companies and their supply chain management

Production ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 233-254 ◽  
Author(s):  
Peter Fernandes Wanke ◽  
Henrique Luiz Corrêa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Binary Logistic Regression ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Significant Relationships ◽  
Comprehensive Literature Review ◽  
The Relationship ◽  
Different Levels ◽  
Contingency Approach

This study aims to investigate whether, and the means by which, supply chain managers of large manufacturing companies adopt a context-dependent approach (also called contingency approach) in their supply chain decisions; it empirically explores the correlation between logistics complexity-related contextual conditions and supply chain management (SCM) objectives and decision areas. The study involves a comprehensive literature review, followed by an analysis of survey data (based on a sample of 108 large manufacturing companies in Brazil), using cluster analysis, factor analysis and binary logistic regression. In this study, we not only investigate the major effects of supply chain objectives and decision areas as predictors of the logistics complexity of manufacturing but also investigate their second order interactions. Statistically significant relationships were found between logistics complexity-related contextual conditions and objectives and decision areas involving the supply chain. The managers of large companies who were surveyed considered different objectives and decision areas to be critical to the achievement of supply chain excellence when their companies had different levels of logistics complexity.

The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management

2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan
Keyword(s):  
Supply Chain ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Moderating Effect ◽  
Top Management ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.

scholarly journals Supply chain resilience and measurement dimensions: The case of halal pharmaceuticals in Malaysia

2018 ◽  
Vol 56 ◽  
pp. 05001
Author(s):  
Osaro Aigbogun ◽  
Zulkipli Ghazali ◽  
Radzuan Razali
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Empirical Studies ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Companies ◽  
Cross Sectional ◽  
Supply Chain Resilience ◽  
Manufacturing Supply Chain ◽  
Cross Sectional Design

Resilience is the vital feature of supply chains that confers the ability to withstand the adverse effects of disruptive events. Most of the previous studies have been conceptual, theoretical, normative, or at best qualitative in approach, concentrating on identifying the elements of resilience. In spite of the proliferation of studies, an empirically validated quantitative study on justifying the measurement dimensions of supply chain resilience is rare, thus the need for further quantitative empirical studies. The context of the present study is the manufacturing supply chain of halal pharmaceuticals in Malaysia. A quantitative cross-sectional design was applied by means of self-administered structured questionnaire survey, using the Supply Chain Resilience Assessment and Management instrument (SCRAM© 2.0). The survey yielded usable responses from 106 manufacturing companies engaged in the production of halal pharmaceuticals in Malaysia. Descriptive statistics as well as partial least square-based structural equation modelling was used to analyze the survey data. This was facilitated by IBM SPSS statistics software (version 21.0), and Smart PLS 3.2.4 respectively. The results suggest that the psychometric properties of the supply chain resilience dimensions (vulnerabilities and capabilities) in the context of the present study are reliable and valid.

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