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The present study seeks to explore the relationships among human resource management (HRM) practices, supply chain management (SCM) implementation and small and medium-sized enterprises' (SMEs) performance in Australia. It also investigates whether HRM practices have any mediating effect on such relationships.

In line with the research objective, a quantitative model was applied and a multi-item survey questionnaire was developed to collect primary data. Cross-sectional surveys of a sample of 216 SMEs from different industries were undertaken to collect data, and factor analysis and structural equation modelling (SEM) were used to analyse data and test hypotheses.

The statistical results inform that SCM implementation and HRM practices improve SMEs' performance in Australia. SCM implementation is also found to be positively linked to HRM practices and has a significant indirect effect on organisational performance when the HRM practices are mediating. HRM practices are, thus, found in this study to mediate the relationship between SCM implementation and Australia's SMEs performance.

The concurrent effects of SCM and HRM practices on SMEs' performance and how businesses' internal management such as HRM practices mediate and affect SCM and SMEs' performances have not been addressed previously in the Australian business context. This study, hence, addresses the gap in the literature concerning the effect of SCM on SMEs by integrating HRM practices as a significant behavioural support system to SCM implementation in Australia's SMEs.

This paper aims to investigate the relationships among supply chain management (SCM) implementation, human resource management (HRM) practices and small- and medium-sized enterprises (SMEs) firm performance in Thailand. It further examines whether HRM practices have a mediating effect on such relationship.

A survey instrument was developed based on the literature review which then was verified by SCM expert opinions. Cross-sectional surveys of sample employees of SMEs in Thailand were undertaken by both direct and mail surveys. Of about 779 questionnaires distributed, 203 usable questionnaires were returned. Structural equation modeling (SEM) was performed to analyze the obtained data.

The statistical results reveal that SCM indirectly improves firm performance of small- and medium-sized firms through HRM practices. The latter, HRM practices, is found to fully mediate the impact of SCM implementation on SME firm performance. These results suggest that SCM cannot enhance SME firm performance if its implementation is undertaken without effective HRM practices.

This study identified the research gap in SCM areas by recognizing the scarcity of research on SCM in SMEs and by identifying and integrating HRM practices as a significant behavioral support system to SCM implementation in SMEs. Its results reveal that HRM practices fully mediates the impact of SCM on SMEs’ firm performance.

The study aims at finding out major barriers for synergistic adoption of TQM-SCM in the medium- and large-scale manufacturing organizations in India. All these barriers create hurdles for the organizations as well as supply chain partners in improving their business performance. The study is a blend of theoretical and practical frameworks, which will focus on key barriers leading to interrupt the successful synergistic implementation of TQM-SCM in manufacturing organization.

Firstly, survey of 116 Indian organizations has been carried out to identify barriers that hinder successful implementation of TQM-SCM. Afterward, VIKOR approach was proposed to rank the major barriers of TQM-SCM implementation in Indian manufacturing organizations.

Identification of barriers to synergistic implementation of TQM-SCM in the manufacturing industry of India, ranking of these barriers in terms of their severity.

The adoption of TQM-SCM on synergistic basis is still in its early stages in India. To the authors’ knowledge, this is the first study that is designed to prioritize barriers responsible for hindering successful synergistic implementation of (TQM-SCM) in Indian manufacturing industry. Further, the results of the study will be helpful for managers in order to prepare action plans to overcome the hurdles to TQM-SCM implementation.

The purpose of this paper is to advance understanding of international differences in supply chain management (SCM) perspectives and practices, by comparing perceptions of Scandinavian and American supply chain managers.

The survey focused on the definition of SCM, along with facilitators of and barriers to SCM implementation. A four‐page questionnaire was designed and sent by mail. After follow‐ups, 23 Scandinavians and 104 Americans returned completed questionnaires.

While many similarities were found between Scandinavians and Americans, several differences were also identified. Both groups have adopted broad, multiple function perspectives on SCM; and both groups perceive SCM implementation to be slower and more difficult than expected. Two differences are the Americans' greater concern about incompatible systems and implementation costs as barriers to SCM, compared to the Scandinavians.

The study is based on relatively small samples, of limited functional (logistics) and geographic (Scandinavia and America) scope. Future research should expand the functional focus into purchasing, operations, and marketing; and the geographic coverage to other parts of the world.

Internal resistance is more of a barrier than external (customer or supplier) resistance to SCM. Thus, organizations should focus first on internal (functional) integration, and then move onto inter‐organizational integration. However, employees working with customers and suppliers should use these external relationships to inspire closer internal relationships. Further, people are more critical than technology in implementing SCM. Organizations should get the right people in place first, and then think about technology.

There is little empirical research on SCM implementation. Practitioners and researchers should find value in this unique comparative study.

The purpose of this paper is to evaluate the contribution of significant factors in the success of supply chain management (SCM) implementation and in synergistic approach (SCM-TQM) terms of business performance of Indian medium- and large-scale manufacturing industry.

This research paper deploys the fuzzy inference system (fuzzy logic tool box) to evaluate the success of SCM and synergistic approach’s implementation. For this purpose, significant factors for each SCM approach as well as synergistic approach are identified from relevant literature and validated by industry experts.

The results of fuzzy rule viewer and surface view tool of fuzzy tool box in MATLAB have highlighted that synergistic approach is better as compared to SCM approach. Furthermore, top management support and leadership role, SCM issues and total quality management (TQM) issues have emerged as significant predictor variables for successful synergistic implementation of TQM-SCM in Indian industries.

TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM-SCM) initiatives have contributed more as compared to only SCM approach in the business performance of Indian manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry.

In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches.

The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance.

TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

Much has already been written about the effects of ISO 9000 standards on business performance, mostly supporting the notion that implementing a standardized quality management system is beneficial. That said, no studies have been made into the impact that the implementation of these regulations has had on improvements, if any, to supply chain management (SCM). This paper aims to give an initial outline on this subject.

Using the five strategies proposed by Chandra and Kumar in 2000 that aimed at stimulating the implementation of correct SCM, along with an empirical study carried out in nearly 400 companies certified to ISO 9000 standard, how this quality assurance standard contributes to successful SCM implementation is analysed.

From the obtained results, it is interesting to point out that not only those indicators which show clear improvements in the SCM have been found but also those aspects in which the companies themselves recognize their limitations.

This paper is one of the first to analyse the effects of the implementation of a Quality Management Standard such as the ISO 9000, through SCM.

The metaverse is a virtual world where users can communicate with each other in a computer-generated environment. The use of metaverse technology has the potential to revolutionize the way businesses operate, interact with customers, and collaborate with employees. However, several obstacles must be addressed and overcome to ensure the successful implementation of metaverse technology. This study aims to examine the implementation of metaverse technology in the management of an organization's supply chain, with a focus on predicting potential barriers to provide suitable strategies.

Covariance-based structural equation modeling (CB-SEM) was used to test the model. In addition, artificial neural network modeling (ANN) was also performed.

The CB-SEM results revealed that a firm's technological limitations are among the most significant barriers to implementing metaverse technology in the supply chain management (SCM). The ANN results further highlighted that the firm's technological limitations are the most crucial input factors, followed by a lack of governance and standardization, integration challenges, poor diffusion through the network, traditional organizational culture, lack of stakeholder commitment, lack of collaboration and low perception of value by customers.

Because metaverse technology has the potential to provide organizations with a competitive advantage, increase productivity, improve customer experience and stimulate creativity, it is crucial to discuss and develop solutions to implementation challenges in the business world. Companies can position themselves for success in this fascinating and quickly changing technological landscape by conquering these challenges.

This study provides insights to metaverse technology developers and supply chain practitioners for successful implementation in SCM, as well as theoretical contributions for supply chain managers aiming to implement such environments.

The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain market orientation, Just-in-Time (JIT) and Total Quality Management (TQM) as antecedents and agile production (AP) and green SCM (GSCM) practices as consequences.

Data from a sample of 136 US manufacturing managers were collected via an on-line survey firm. A partial least squares structural equation modeling is used to assess the efficacy of the theorized model.

Generally, market orientation supports the implementation of JIT and TQM, JIT and TQM support implementation of SCM, SCM supports implementation of AP and green supply chain management practices (GSCMP) and AP and GSCMP positively impact organizational performance.

The model tested reflects the synergy created though the implementation of management improvement programs that support the six strategic imperatives of customer focus, efficiency, effectiveness, integration with supply chain partners, responsiveness, and environmental sustainability and the effects of those programs on the marketing and financial performance of manufacturing organizations.

The theorized model and results provide practicing managers with a blueprint for the systematic implementation of the improvement programs.

A comprehensive operations and SCM model is proposed and empirically assessed. The results of this investigation support the proposition that market orientation, JIT, TQM, SCM, AP and GSCMPs combine to positively affect organizational performance. The central role of the SCM construct is emphasized.

The implementation of sustainable supply chain management (SCM) calls for an acknowledgement of uncertainty inherent in complex environment. Confucianist society forms social networks in Confucianist society, called guanxi networks, influence economic behaviours and business practices in the workplace. The purpose of this study is to explore how these social networks influence the implementation of sustainable SCM. In doing so, this study aims to critically investigate the constructs of guanxi networks, their impact on flow of supply chain capital and how this leverages the implementation of sustainable SCM.

Two systematic literature reviews are conducted to understand the constructs of social networks in Confucianist culture and their impacts on the flow of supply chain capitals. The reviews also analyse evidence related to the economic, social and environmental practices to reveal the current state of the literature and research gaps. Propositions and a framework are developed to support future research in this area.

The constructs of ganqing, renqing, xinren and mianzi in guanxi networks have expanded the contexts of social networks in Western literature. Guanxi networks increase the flow of supply chain capital and generate trust between players, thus enhancing capabilities to implement sustainable SCM. Guanxi networks also create the mechanism of network governance with which to increase sustainable SCM implementation under the institutional logics of sustainability.

The conceptual framework and justification are based on the reviews of current studies in the field. Future empirical study is encouraged to test the propositions, both in Confucianist culture and other countries with culture of social networks.

Social networks are socially constructed concepts. The constructs of guanxi networks revealed in this study have developed the knowledge of Western-based social network theory. Besides, arguments from a social network perspective provide an alternative answer to explain increased behavioural commitment and companies’ investment in sustainable SCM. This study helps practitioners understand the logic of this social norm and to use it to maximise their operation outputs, including sustainable SCM implementation.