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Impact of Social Sustainability Orientation and Supply Chain Practices on Operational Performance

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 9000

Special Issue Editors


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Guest Editor
Birmingham Business School, The University of Birmingham, Birmingham B15 2TT, UK
Interests: sustainable supply chain management; supply chain analytics; SCM 4.0; Smart manufacturing; industrial sustainability; performance measurement and management; automotive industry

E-Mail Website
Guest Editor
Birmingham Business School, The University of Birmingham, Birmingham B15 2TT, UK
Interests: global network operations; engineering innovation; green operations, sustainable supply chains; digital transformation

Special Issue Information

Dear Colleagues,

While sustainable operations and supply chain management has been researched extensively, it has been observed that the preponderance of extant literature is focused on the environmental sustainability orientation, and there is limited use of a critical perspective on the social dimension of sustainability in this field. For instance, there are still limited efforts to understand the inclusion of marginalized people and minority development in the supply chain context, and the literature still over-relies on a Western perspective, with limited evidence from developing countries where serious social issues arise. We welcome studies focusing on socially sustainable supply chains (SSSC) to explore avenues of supply chain (re)design and (re)configuration for an improved social performance and practice, as well as those studies that demonstrate how current supply chain configuration can address social sustainability initiatives. 

Moreover, socially sustainable supply chain management fosters addressing social issues directed at the firm supply chains with the aim of having positive impacts on society. However, due to gaps in the current knowledge, we do not have a clear view of how social sustainability orientation will impact operational performance whilst improving the sustainability behavior of the firm and its suppliers. Therefore, we further invite submissions that investigate how social sustainability orientation in the context of operations and SCM impacts operational performance. In addition, we encourage the development of new constructs.

The presence of fast-emerging new technologies such as Industry 4.0, Artificial Intelligence (AI), Blockchain, big data and digital solutions is giving rise to new opportunities for more productive and efficient operations and SCM and their associated social challenges. With a view towards new technologies, we seek scholarly contributions that can help advance our understanding of social challenges and solutions aimed toward the so called “human–machine reconciliation”. This will set the stage for theoretical observations for undertaking new technologies in SSSC and the implications of their performance outcomes and/or trade-offs, which has not yet been emerged, extending the research development on the relationships among the man, the machine, and the labour.

We are interested in both quantitative and qualitative approaches and conceptual/theoretical contributions. We also welcome submissions using new research methods and designs. Possible examples of research topics that would be suitable for inclusion into this Special Issue include (but are not limited to) the following:

  • Social sustainability in operations and SCM: meanings, motivations and drivers;
  • Social sustainability in managing supply chains: performance outcomes, trade-offs and tensions;
  • Monitoring social issues in multi-tier supply chains;
  • The social dimension in circular supply chains and circular economy;
  • The role of SCM in inclusiveness, equality, diversity and other social norms;
  • The role of individuals in the process of adoption and diffusion of social practices within supply chains—Microfoundations of sustainability;
  • The impact of supply chain digitalization—consequences for social, operational and financial performance;
  • Managing trade-offs between social and operational performance with machine–man reconciliation;
  • Applications of new technologies in socially sustainable supply chain management;
  • Investigations on the potential synergies between supply chain 4.0 and SSSC to attain performance improvements;
  • The drivers for individuals, firms and/or supply chains to use social media in support of SSSC;
  • The impacts of using social media in SSSC on the performance of individuals, firms and/or supply chains.

Dr. Ali Esfahbodi
Dr. Yufeng Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social sustainability
  • corporate social responsibility (CSR)
  • operations and supply chain management
  • socially sustainable supply chains (SSSC)
  • digitalization
  • SCM 4.0
  • responsible business

Published Papers (5 papers)

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Research

22 pages, 1062 KiB  
Article
The Impact of Corporate Social Responsibility Implementation on Enterprises’ Financial Performance—Evidence from Chinese Listed Companies
by Xudong Li, Ali Esfahbodi and Yufeng Zhang
Sustainability 2024, 16(5), 1848; https://doi.org/10.3390/su16051848 - 23 Feb 2024
Cited by 1 | Viewed by 751
Abstract
Along with the constant changes in the current business environment, more and more enterprises have recognised the importance of Corporate Social Responsibility (CSR). Considering that profit maximisation is the eternal pursuit of enterprises and that some studies have already linked the financial performance [...] Read more.
Along with the constant changes in the current business environment, more and more enterprises have recognised the importance of Corporate Social Responsibility (CSR). Considering that profit maximisation is the eternal pursuit of enterprises and that some studies have already linked the financial performance of enterprises and their implementation of social responsibility together, this study will try to further explore the impact of social responsibility initiatives on enterprises’ financial performance within the context of emerging economy. Given that enterprises’ sustainable development is closely related to their implementation of CSR, an improvement in their corresponding financial performance due to effective social responsibility practices can incentivise enterprises to take part in CSR initiatives aimed at enhancing the sustainable development of society and the environment. Through using the panel data from Chinese Listed Companies, this research finds that responsibility’s implementation is positively related with enterprises’ financial performance, and that relationship is non-linear. Additionally, as a critical regulatory institution, government fails to function as a mediator within the above-mentioned relationship based on the robust empirical test. At the same time, the fulfilment of CSR can not be achieved at the expense of profit maximisation. The non-linear relationship between CSR and enterprises’ financial performance (CFP) demonstrated in this research suggests that the financial performance of a firm can be optimised when it moderately fulfils its social responsibility. This finding offers a potential optimal strategy for the sustainable development of the firm as well as society. Also, the role of government deserves further exploration and utilisation, considering its significant linkages with enterprises and social development. Full article
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20 pages, 3500 KiB  
Article
A Market Convergence Prediction Framework Based on a Supply Chain Knowledge Graph
by Shaojun Zhou, Yufei Liu and Yuhan Liu
Sustainability 2024, 16(4), 1696; https://doi.org/10.3390/su16041696 - 19 Feb 2024
Viewed by 722
Abstract
Market convergence challenges socially sustainable supply chain management (SSSCM) due to the increasing competition. Identifying market convergence trends allows companies to respond quickly to market changes and improve supply chain resilience (SCR). Conventional approaches are one-sided and biased and cannot predict market convergence [...] Read more.
Market convergence challenges socially sustainable supply chain management (SSSCM) due to the increasing competition. Identifying market convergence trends allows companies to respond quickly to market changes and improve supply chain resilience (SCR). Conventional approaches are one-sided and biased and cannot predict market convergence trends comprehensively and accurately. To address this issue, we propose a framework based on info2vec that solves the problem of matching multidimensional data by using the technology layer as the focal layer and the supply chain as the supporting layer. The framework enriches the supply chain dimension with the technology dimension. A knowledge graph is constructed to facilitate cross-domain information connectivity by integrating different data sources. The nodes in the knowledge graph were characterized using a representation learning algorithm, which enhanced feature mining during supply chain and market convergence. Changes in market demand were predicted based on link prediction experiments. Market convergence has an impact on firm cooperation and, thus, on SCR. The framework recommends potential technological and innovative cooperation opportunities for firms. In this way, it has been demonstrated to improve SSSCM through network resilience experiments. This method predicts market convergence efficiently based on the supply chain knowledge graph, which provides decision support for enterprise development. Full article
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18 pages, 921 KiB  
Article
Assessing the Impact of Corporate Social Responsibility, Green Shared Vision on Voluntary Green Work Behavior: Mediating Role of Green Human Resource Management
by Jiang Yang, Saqib Yaqoob Malik, Yasir Hayat Mughal, Tamoor Azam, Wajid Khan, Muhammad Asif Chuadhry, Muhammad Ilyas and Yukun Cao
Sustainability 2023, 15(23), 16398; https://doi.org/10.3390/su152316398 - 28 Nov 2023
Viewed by 1623
Abstract
Due to increasing concerns and pressure from stakeholders, firms are eager to initiate green initiatives to produce ecofriendly products and services, which are less harmful for the environment. Consumers are willing to pay high prices for ecofriendly products and services. Thus, firms need [...] Read more.
Due to increasing concerns and pressure from stakeholders, firms are eager to initiate green initiatives to produce ecofriendly products and services, which are less harmful for the environment. Consumers are willing to pay high prices for ecofriendly products and services. Thus, firms need a motivated workforce to achieve their green objectives. This is only possible if firms adopt their green policies in their green shared vision and start socially responsible activities to gain society’s and stakeholders’ attention, which is possible if firms start CSR activities at regular intervals. The purpose of this study was to examine the mediating role of “Green Human Resource Management” (GHRM) on the relation between corporate social responsibility (CSR), green shared vision (GSV), and voluntary green work behavior (VGWB). Employees of manufacturing companies were the participants of the present study and a non-probability convenience sampling technique was employed to determine the sample size. Data were gathered from manufacturing companies using a cross-sectional survey method. The total number of firms included was 100, and information on the firms included in the study included cement (10), sugar (26), leather (22), steel (8), food (21), beverages (2), furniture (3), construction (2), pharmaceutical (2), plastic (2), and dairy (2). The total number of questionnaires distributed among employees of the above-mentioned manufacturing firms was 700, and 500 completed questionnaires were used in the analysis, thus yielding a response rate of 71.42%. Using the smart PLS partial least square software (Version 4), the structural equation modeling (PLS-SEM) technique was applied for the statistical analysis. It was evident from the results that the measurement model had established convergent and discriminant validities. A structural model for testing hypotheses was established in the second step. Findings of the study revealed that CSR, GSV, and GHRM practices and VGWB were significantly related with each other. CSR, GSV, and GHRM have significant effects on VGWB. Additionally, it can be inferred from the results that GHRM significantly mediated the relationship between corporate social responsibility and green shared vision and VGWB. From Pakistan’s perspective, the research study has applied and validated the natural resource-based view (NRBV) theory, and practitioners and researchers may benefit from its findings. This study has opened doors and paved a path for future studies to use this model and come up with interesting findings by adding more mediating variables. For any organization, it is imperative to have a motivated team which is capable enough to help firms to achieve their green targets. Hiring talented and hardworking employees and initiating socially responsible activities help firms to obtain a competitive advantage and enhance the VGWB of their employees. Full article
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28 pages, 648 KiB  
Article
Development of Ecosystem for Corporate Green Innovation: Resource Dependency Theory Perspective
by Daquan Gao, Christina W. Y. Wong and Kee-hung Lai
Sustainability 2023, 15(6), 5450; https://doi.org/10.3390/su15065450 - 20 Mar 2023
Cited by 5 | Viewed by 2094
Abstract
Although research on green innovation has increased dramatically in recent years, little is known about the system mechanisms for the innovation. Grounded in the resource dependency theory (RDT) and national innovation system (NIS) literature, this study examines the ecosystem in promoting green innovation [...] Read more.
Although research on green innovation has increased dramatically in recent years, little is known about the system mechanisms for the innovation. Grounded in the resource dependency theory (RDT) and national innovation system (NIS) literature, this study examines the ecosystem in promoting green innovation from both theoretical and empirical perspectives. This study constructs a Nash-Cournot equilibrium to address the effects of national green innovation systems on corporate green innovation. Using data of 2136 A-share listed enterprises, 31 provincial-level R&D data, and 329 prefectural-level government annual work reports in China, this study finds that corporate collaboration, government subsidies, regional university R&D intensity, long-term credit, and government attention enhance the number of green innovation patents and patent diversity. Government attention strengthens the positive effects of corporate R&D cooperation, government subsidies, R&D intensity of regional research institutions, and long-term credit on the number of green innovation patents. Full article
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21 pages, 569 KiB  
Article
Social Sustainability Orientation and Supply Chain Performance in Mexico, Colombia and Chile: A Social-Resource-Based View (SRBV)
by Miguel Reyna-Castillo, Paola Selene Vera Martínez, Lisette Farah-Simón and Nadima Simón
Sustainability 2023, 15(4), 3751; https://doi.org/10.3390/su15043751 - 17 Feb 2023
Cited by 3 | Viewed by 2563
Abstract
The global crisis caused by the COVID-19 pandemic has taught us the importance of reflecting on the essential resources and capabilities that enable companies to react to disruptions. In this regard, studies have shown that social sustainability is a crucial resource for the [...] Read more.
The global crisis caused by the COVID-19 pandemic has taught us the importance of reflecting on the essential resources and capabilities that enable companies to react to disruptions. In this regard, studies have shown that social sustainability is a crucial resource for the operational performance of supply chains in emerging contexts. Although the literature has responded to the call for research on the social dimension of sustainability in emerging economies, most research has focused on emerging Asia, leaving a void in Latin America. Two socially focused frameworks are used to address the ontological challenge of defining sustainable human well-being around the firm. Amartya Sen’s capabilities approach and the theoretical extension of the Social-Resource-Based View (SRBV) are appropriate to address social sustainability under two essential aspects: (1) the firm as a generator of social performance and (2) social sustainability as a generator of firm performance. This paper aims to analyze the predictive capacity of Social Sustainability Orientation on social performance and supply chain operational performance in the context of emerging Latin America, with representative cases from Mexico, Colombia, and Chile. The methodology was empirical–statistical and based on a structured questionnaire applied to 217 purchasing managers of large multisector companies (Mx n = 64, Co n = 100, and Cl n = 53). Hypotheses were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show the intrasample and extrasample predictive ability of Social Sustainability Orientation on social and Supply Chain Performance. It is concluded that socially sustainable culture and investment orientation is a valuable resource that provides the capability for Latin supply chain welfare and operational performance. A call is made to procurement and public policy managers to disseminate and care for the social aspects of sustainability as a resource that enhances business competitiveness and social justice in the Latin American region. Full article
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