The effects of digital innovations and sustainable supply chain management on business competitive performance post-COVID-19

Purpose: Sustainable supply chain management (SSCM) practices and green entrepreneurial preference (GEP) have gained increasing attention from academicians;however, their impacts on business' competitive performance (BCP) post-coronavirus disease of 2019 (COVID-19) remain unclear. Although SSCM is vital for supporting BCP, the previous publications indicate the absence of significant relationships among GEP, SSCM and BCP. This study tries to fill this literature gap by investigating if GEP and SSCM can shape BCP. This study also suggests the moderation effect of digital innovations such as artificial intelligence and big data analytics (AIBD) on those relationships from a COVID-19 viewpoint. Design/methodology/approach: Data were collected from 245 Halal food firms in Yemen, and the research framework was assessed using structural equation modeling (SEM). Findings: The empirical findings show that there are significant impacts of GEP on SSCM and subsequently on BCP. The findings also reveal that SSCM practice mediates GEP-BCP link. Besides, digital innovations such as AIBD positively moderate the link of GEP-SSCM. Originality/value: This study is the first attempt that advises Halal food firms to formally adopt GEP, SSCM and digital innovations to boost BCP, especially in uncertain times like post-COVID-19. Unlike earlier studies that observe SSCM usage as a direct predictor of firm performance, this study delivers an innovative insight that digital innovations can assist in GEP and SSCM incorporation in the in-house operations of the firms post-COVID-19. © 2023, Emerald Publishing Limited.

Does the market value sustainable supply chain management? New evidence from the outbreak of COVID-19

This study aims to determine why a firm would ever engage in sustainable supply chain management (SSCM) during a turbulent era. Combining stakeholder theory, the resource-based view, and the literature on SSCM, we argue that SSCM can alleviate negative market reactions to severe external crises. Based on analyses of a sample of firms listed in China from 2019 to 2020, the results robustly display a positive relationship between SSCM and the abnormal returns surrounding the outbreak of COVID-19. The findings of this study extend the supply chain literature by constituting an important addition in external crisis times rather than only in normal times.JEL Classification: M14

Enhancing sustainable supply chain performance by adopting sustainable lean six sigma-Industry 4.0 practices

PurposeThe Sustainable Lean Six Sigma (SLSS) adoption approach, advancements in Internet technologies and the use of Industry4.0 technologies has resulted in faster customer need fulfilment. The Industry4.0 technologies have resulted in a new paradigm where strategic and operational decisions are in favour of profitability and long-term viability. The purpose of this study is to identify Industry4.0-SLSS practices and sustainable supply chain performance metrics, as well as to develop a framework for decision-makers and managers to make supply chains more sustainable.Design/methodology/approachThe 33 Industry4.0-SLSS practices and 24 performance metrics associated with the sustainable supply chain are shortlisted based on extensive literature review and expert opinion. The Pythagorean Fuzzy Analytical Hierarchy Process (PF-AHP) approach is used to evaluate the weights of Industry4.0-SLSS practices after collecting expert panel opinions. The Weighted Aggregated Sum Product Assessment (WASPAS) methodology used these weights to rank performance metrics.FindingsAccording to the results of PF-AHP, "Product development competencies (PDC)" are first in the class of major criteria, followed by "Advanced technological competencies (ATC)" second, "Organisational management competencies (OMC)" third, "Personnel and sustainable competencies (PSC)" fourth and "Soft Computing competencies (SCC)" fifth. The performance metric "Frequency of NPD" was ranked first by the WASPAS method.Research limitations/implicationsThe proposed paradigm helps practitioners to comprehend Industry4.0 technology and SLSS practices well. The identified practices have the potential to boost the sustainability and supply chain's performance. Organizational effectiveness will benefit from practices that promote a sustainable supply chain and the use of developing technology. Managers can evaluate performance using performance metrics that have been prioritized.Originality/valueThe present study is one of the unique attempts to establish a framework for enhancing the performance of the sustainable supply chain. The idea of establishing Industry4.0-SLSS practices and performance measures is the authors' original contribution.

Assembly process based on supply chain management of prefabricated houses using BIM

The assembly of modular containers using building information modelling (BIM) technologies was studied. The purpose of this study was to analyse the literature on prefabricated (prefab) houses and explore the concept of creating a digital prototype of a building based on Huoshenshan hospital using Autodesk Revit software. This hospital was constructed to treat Covid-19 patients in early 2020. The article describes the methodology of installing modular containers and assembly structures using BIM technologies for rapid construction. The results of this study showed that building object implementation depends directly on a proper model with a step-by-step mechanism for installation. Due to the supply of prefab structures at the construction site, both initial project cost and project time can be reduced. Prefab house technology demonstrated the high efficiency of using BIM technology in the assembly of Huoshenshan hospital, which was constructed in 10 days. The need for information modelling data exchange with modern technology and systems, which allows the team to become acquainted with the project before installation work starts at the construction site, is investigated.

Assembly process based on supply chain management of prefabricated houses using building information modeling

The paper analyzes the assembly process by the example of assembly-modular containers using building information modeling technologies. This paper simulates a 3D model of the Huoshenshan Hospital with a description of the assembly mechanism process based on information modeling of prefabricated buildings. The purpose of this paper is to analyze the sources on prefabricated houses and explore the concept of creating a digital prototype of a building based on Huoshenshan Hospital, using the Autodesk Revit software. The article describes the methodology of installing modular containers and assembly structures using building information modeling technologies to improve rapid construction technology. The study results showed that building object implementation directly depends on a proper model with a step-by-step mechanism for installation, which can reduce the initial project cost due to the supply of prefabricated structures on the construction site, as well as reduce the project time. The prefabricated house technology demonstrated the high efficiency of using information technology in the assembly of the Huoshenshan Hospital, with which the simulated facility was implemented in 10 days. The need for information modeling data exchange with modern gadgets and systems is investigated, which allows one to get acquainted with the object at the construction site before installation work start. © 2022 ICE Publishing: All rights reserved.

Building up more sustainable food supply chains: Implications for sustainable development

The global supply chain experienced unprecedented disruption due to the Covid-19 crisis in a dynamic world. Consequently, this situation has resulted in many businesses' discontinuity or closure due to disruptions that seriously affect the possibility of maintaining operations, especially micro, small and medium-sized enterprises (MSMEs) in emerging markets. In this scenario, the food value chain is deeply concerned because of its vulnerability and importance to food security. Therefore, this study aims to examine the mechanism that enables businesses in the food value chain to overcome the challenging post-pandemic while rebuilding the foundation for long-term viability and sustainable development. Accordingly, this study examines the relationships between the responsible driving factors (towards the environment, society, and the economy) and the food value chain sustainability (FSCS) of MSMEs by exploiting the mediating role of sustainable supply chain management (SSCM) in an emerging market. This study applies a quantitative research approach using primary data from a questionnaire-based survey. 568 valid responses were received from managers at senior and middle levels. In analysis, this study uses a smart PLS 3.3.2 version, Structural Equation Modeling (SEM) technique, to analyze the structural relationships. The novelty of this study contributes beyond the extant body of knowledge of supply chain management (SCM) by providing a comprehensive approach to promoting FSCS by incorporating socially, environmentally, and economically responsible practices into SCM practices. In addition, this study contributes to broadening the concept of corporate social responsibility by broadening the perspective of sustainability by shifting the enterprise-based perspective to the food value chain-based perspective. Above all, this research provides a new approach to the food value chain in an emerging market that is inherently too challenging to afford the sustainability concept of the food value chain. In sum, the value of this study's contribution is significant to bridging the knowledge-practice gap by providing profound knowledge and an empirically proven framework for the mechanism boosting sustainability for MSMEs in the food value chain in emerging economies. Drawn upon the above highlights, the findings of this study may be of high interest to academics, business practitioners, and policy-makers.

An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM.

Environmental deterioration, the COVID-19 pandemic and the Russian-Ukrainian conflict had brought chronic and dramatic impacts on agricultural supply chain around the world, resulting in high inflation rates and unavoidable costs. In order to reduce the adverse impacts and achieve sustainability in agricultural supply chain, it's necessary to scientifically explore composite indicators interlinked with agricultural sustainable supply chain management (ASSCM). The current study developed an integrated rough-fuzzy WINGS-ISM method to reveal the hierarchal and causal structure of indicators. It is found that environmental legislation, regulation, licensing, and government subsidies are the main drivers of ASSCM. Specifically, the government can guide the sustainable development of ASSCM by regulating the business environment. The financial support needs to be enlarged to optimize the structure in science and technology of ASSCM. Moreover, corporates and organizations are highly motivated by the increasing awareness of social responsibility and sustainability consciousness to improve the economic performance and achieve the ASSCM goals. A comparative analysis is proposed to illustrate the practicality and reliability of the results obtained from the proposed method, which can be utilized as a reference in ASSCM.

The Effects of Innovation Adoption and Social Factors between Sustainable Supply Chain Management Practices and Sustainable Firm Performance: A Moderated Mediation Model

The aim of this study was to develop higher-order scales for assessing sustainable supply chain management practices, innovation adoption, and sustainable firm performance in the restaurant sector. Three different higher-order scales were developed for assessing the SSCM, SFP and innovation adoption. The first scale for SSCM higher-order construct consisted of service–product supply chain management practices (SPSSCM), service–setting supply chain management practices (SSSSCM), and service–delivery supply chain management practices (SDSSCM). The second higher-order scale for sustainable firm performance (SFP) consisted of economic, operational, environmental, and socio-cultural performance. The third higher-order scale for innovation adoption (INNO) consisted of “product- and process-based innovation”, “marketing-based innovation”, “technology-based innovation” and “organizational innovation”. The face, content, construct, convergent, and discriminant validity was tested using pilot study, expert opinion, EFA, and CFA. With 178 responses collected from restaurateurs, managers, and supervisors of casual restaurants in Prachuap Khiri Khan province in Thailand, this study evaluates the direct effects of SSCM on SFP. It further evaluates the mediating role of innovation adoption between sustainable supply chain management practices and firm performance and the moderated mediation effects of socio-demographic factors such as age, gender, education, and experience. The results reveal that sustainable supply chain management practices can positively lead to sustainable firm performance. However, irrespective of the indirect effects of socio-demographic factors, adopting innovation completely mediates the relationship between sustainable supply chain management practices and firm performance.

Sustainable supply chain management in tourism: a systematic literature review

The tourism industry was seen as one of the main beneficiaries of globalisation prior to the outbreak of the Covid-19 pandemic. However, while tourism is a major driver of economic growth and social well-being, a transformation of the industry towards more sustainable practices along the tourism supply chain (TSC) is needed to ensure that sustainable development goals can be reached. As sustainable supply chain management (SSCM) practices are critical for this transformation, the present study maps previous research on SSCM in tourism within a systematic literature review. Based on an analysis of 44 peer-reviewed journal papers, we found a strong emphasis on tour operators, hotels, and transport providers being concerned with practicing SSCM while actors managing the destination (e.g., Destination Management Organizations) have rarely been studied. Sustainability practices in TSCs can be enhanced by linking traditional and non-traditional actors on the multiple tiers and levels of a tourist destination. We accordingly propose potential research avenues to stimulate future research activities. © 2022 Kedge Business School.

Development and Validation of a Measurement Instrument for Sustainability in Food Supply Chains

The purpose of this paper is to develop a measurement instrument for sustainable supply chain management (SSCM) critical factors, practices and performance and validate it in the food industry. A literature review was conducted in order to identify pertinent variables and propose relevant measuring items. An email survey was carried out in 423 Greek companies in the food and beverage sector. The questionnaire was sent by e-mail in the Google Forms format and it was requested to be answered by a representative of the company. The collected data was processed using exploratory factor analysis in order to extract the latent constructs of the SSCM critical factors, practices and performance measures. The validity of the proposed instrument was confirmed through confirmatory factor analysis. The extracted SSCM critical factors are “firm-level sustainability critical factors” and “supply chain sustainability critical factors”. The extracted SSCM practices are “supply chain collaboration” and “supply chain strategic orientation”. The extracted SSCM performance factors are “economic performance”, “social performance” and “environmental performance”. The three developed constructs constitute a measurement instrument that can be used both by practitioners who desire to implement SSCM and by researchers who can apply the proposed scales in other research projects or use them as assessment tools.

Exploring Supply Chain Collaboration for Green Innovations: Evidence from the High-Tech Industry in Poland

The purpose of this article is to investigate whether the wide scope of supply chain collaboration including both customers and suppliers (Upstream–downstream External Collaboration) determines the greening of innovation more significantly than the scope limited only to suppliers (Upstream External Collaboration) or customers (Downstream External Collaboration). This goal was achieved as part of extensive research on the impact of relational capital on the innovativeness of high-tech companies in Poland. The results of the research were analysed using fuzzy conversion scales and descriptive statistics based on triangular fuzzy numbers. The application of the achievements of the fuzzy sets theory made it possible to test the hypotheses presented in the article with the use of fuzzy analysis of variance (fuzzy ANOVA). The findings confirm that the subjective scope of collaboration in the supply chain is important for greening innovation. Companies that cooperate with both suppliers and customers (Upstream–downstream External Collaboration) declared a greater tendency to green their innovations than those that cooperate with only one group of partners. The research findings contribute to the literature on the role of collaboration in the ecological responsibility and environmental performance of supply chain partners. The conclusions may have practical implications for the design and implementation of strategies in sustainable supply chain management. The study provides important lessons for SC managers facing the challenge of sustainable management during and after the COVID-19 outbreak.

System Dynamic Modeling for Plastic Supply Chain in Klang Valley, Malaysia

Plastic packaging wastes are increasing due to the COVID-19 pandemic as consumers tend to stay home and purchase online. Plastic packaging waste is difficult to break down. It pollutes the environment and then enters the food chain, putting people and wildlife at risk. This paper presents the development of system dynamic models for sustainable plastic supply chain management in Klang Valley, Malaysia. System dynamic models for plastic supply chains, including forward, open-loop and closed-loop supply chains, were developed using Vensim 7.2 PLE software. To estimate the amount of plastic packaging wastes discharged at landfill, these models were simulated using various waste diversion rates. The results indicated that, when all stakeholders in the supply chain recycled 10% of their plastic packaging waste, the total amount of plastic packaging waste going to landfill could be reduced by approximately 65%. However, the means of open-loop and closed-loop supply chains, did not differ much. © 2022, HARD Publishing Company. All rights reserved.

Going green supply chain management during covid-19, assessing the best supplier selection criteria: A triple bottom line (tbl) approach

In the past ten years, sustainable supply chain management (SSCM) attach great importance due to consumers, for-profit and profitless organizations, laws and regulations to the social and corporate responsibilities of consumers, so it has been recognized by practitioners and scholars. Supplier selection, environmental effect like a lockdown, and social cooperation and other SSCM programs can play an important part in realizing the triple bottom line (TBL) of economic, environmental, social assistances. In supply chain management (SCM), the sustainable supplier selection (SSS) and firm performance plays an important role. Traditionally, when evaluating SSS performance, organizations will consider a new framework to obtain the overall criteria/sub-criteria of the sustainability index by encapsulating sustainability. In this paper 12 sub-criteria for 3 pillars of sustainability as economic, environment and social performance is collected. Although there are many articles on SSS and evaluation, so far, research on sustainability issues is very limited. This study endeavours to propose a fuzzy multi-criteria approach to discuss SSCM planning, and studies the issue of determining a current model for SSS in the supply chain during COVID-19 based on the TBL method. For express the linguistic value of the subjective preference of experts we use triangular fuzzy numbers. By using fuzzy numbers to find standard weights for qualitative performance evaluation, then fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed to find the ranking of SSS. However, COVID-19 has a negative role in SSS and in firm performance. The situation of lockdown due to COVID-19 has a negative effect on the performance of the organizations. An example is given of the proposed method. © 2022, Politechnika Lubelska. All rights reserved.

Business continuity through customer engagement in sustainable supply chain management: outlining the enablers to manage disruption.

Business continuity in disruptions like the COVID-19 pandemic involves sustainable supply chain management (SSCM) with limited resources and risks for the well-being and prosperity of stakeholders and customers involved with limited environmental effects. The purpose of the paper is to outline enablers in customer engagement that supports SSCM in times of disruption like the COVID-19 pandemic. This research uses an extensive literature review followed by academic and industry practitioners' opinions to identify customer engagement enablers in SSCM for business continuity. Hybrid stepwise weight assessment ratio analysis (SWARA) and rough set numbers rank customer engagement enablers that support SSCM in disruption. The research builds on stakeholder theory and the sustainability framework for economic performance through non-economic aspects. The research concludes that the focus on agility for target customers through collaboration and information sharing in SSCM will support business continuity. It shall support decision-making in the supply chain in uncertainties. Engagement with stakeholders leads to focused execution in response to customer demand through faster communication and crucial information sharing, thus eliminating bottlenecks for business continuity.