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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 adopt a resource-based view (RBV) to investigate the link between marketing (MRKT)–supply chain management (SCM) alignment, supply chain resilience (SCR) and firm performance. It aims to cover two gaps in the SCM literature: the missing links between MRKT–SCM alignment and the performance of a firm, mediated by the SCR, and the role of absorptive capacity (AC) in shaping such links.

After the identification of a key capability in SCM, i.e. firms’ ability to align their’ MRKT–SCM processes and the role of AC, the relationships with performance are empirically tested in a sample of 133 firms in the fast-moving consumer goods industry in Saudi Arabia. The data was analyzed using SPSS 27 through hierarchal multiple regression and the PROCESS macro.

First, MRKT–SCM alignment capabilities provide a significant direct effect on SCR, and in turn, SCR also had a significant indirect effect on firm performance. Second, there is a significant mediating effect of SCR on the MRKT –SCM alignment and firm performance relationship. Third, a novel finding shows a statistically significant interaction effect and the interaction pattern supported that absorptive capacity would substitute the positive effect of SCR on firm performance, which implies that in the absence of SCR, AC can substitute the role of SCR. Finally, the results suggest a significant moderation and mediation effect for the overall model.

The investigation is based on a self-reported cross-sectional analysis, and it is specific to a single economy. Nonetheless, it suggests a number of interesting implications. Achieving excellence in SCR requires the development of a distinct set of capabilities because the management of core supply chain activities and the alignment of MRKT with the supply chain are not mutually exclusive, rather they are complementary. Contrary to common expectations, an alignment of MRKT–SCM processes leads to improved interfunctional coordination.

In the postCOVID-19 world firms should develop and integrate their AC to capitalize on their MRKT–SCM alignment to pursue better performance. Investment in AC is required to develop, maintain and use it. It can play an important role against uncertainties in the long run.

This paper is unique in that it employs the RBV – to unpack the mechanisms through which MRKT–SCM activities contribute to SCR, and firm performance. It represents a first response to the call for research into the use of such theoretical frameworks which has recently been made in the SCM literature because of the COVID-19 pandemic. To the best of the authors’ knowledge, this paper also offers the first empirical test of how the MRKT–SCM interacts with existing capabilities to create SCR, providing clear guidance on how to exploit its often undervalued potential.

The purpose of this study was to examine the influence of socio-cognitive mindfulness on resilience, stress and thriving among middle managers in higher education at two separate periods during the COVID-19 pandemic. In Study 1, the authors examined how socio-cognitive mindfulness predicted perceived stress and whether the relationship between mindfulness and perceived stress was mediated by resilience. In Study 2, the authors replicated the first study and further hypothesized that the link between mindfulness and thriving was also mediated by resilience.

The authors conducted cross-sectional correlational studies to test the hypotheses using data from 163 middle managers in higher education early in the pandemic in Study 1 and 204 middle managers a year later in Study 2.

Study 1 findings showed socio-cognitive mindfulness predicted perceived stress, and that resilience fully mediated this relationship. In Study 2, socio-cognitive mindfulness did not predict perceived stress, but it did predict thriving, and that relationship was fully mediated by resilience.

This research is the first to address how socio-cognitive mindfulness directly impacts perceived stress and thriving and its impact through building resilience. To date, few studies have focused on stress in higher education middle managers or addressed the importance of building socio-cognitive mindfulness and resilience to thrive amid ongoing challenges. Implications of the pandemic's influence on the results are also addressed.

This study aims to explore the synergetic effects of total quality management and supply chain management (TQM–SCM) initiatives and their effects on organizational performance (OP). This research has been conducted in Pakistan’s logistics sector. The research reveals the synergistic effect of TQM and SCM initiatives and their effects on OP.

The constructs of the TQM and SCM were chosen after reviewing the literature that was critical for the logistics sector. The synergetic effect of TQM–SCM on OP has been evaluated. The mediating, direct and indirect effects were also evaluated in different models independently. Structural equation modelling was applied to drive the results via using AMOS.

It was observed during the analysis that both the TQM and SCM have a significant effect on OP. Both TQM initiatives have directly correlated to the improvement in SCM, and both have a positive effect on an organization. This research study has aided logistics firms that are focusing on TQM and SCM planning and implementation. The results can give management a better and more in-depth knowledge of the TQM initiatives and OP.

The data was collected through email and personal visits from different organizations. The data was collected through an adopted questionnaire. It is found in the study that many people at the managerial level have limited knowledge regarding SCM and TQM. The results may vary if the knowledge of the employees is improved.

The current study presents an upscale addition by examining the function of SCM and TQM linkage in OP as well as their relationship. The evaluated model serves as a guideline for firms looking to expand and achieve maximal OP.

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The evaluated model is developed in this study that serves as a guideline for firms looking to expand a new method to reach maximum OP.

In view of the complexity of supply chain management (SCM) in the insurance industry, to the best of the authors’ knowledge, this paper was the first to use symmetrical and asymmetrical methos to examine how the insurer’s service quality and SCM can be configurated to explain the relationships between the insurance companies and brokers as the intermediaries. This study positions insurance brokers as the insurance companies’ customers and supply chain partners, aims to examine the relationships between service quality, SCM and relationship quality.

This paper undertook two studies and used two methods to examine how the insurer’s service quality and SCM can be configurated to explain the relationships between the insurance companies and brokers as the intermediaries. Both symmetrical and asymmetrical analyses were performed including regression and fuzzy-set qualitative comparative analysis (fsQCA).

The results from symmetrical analyses and fsQCA from two countries show substantial differences in how service quality and SCM affect relationship quality. In particular, fsQCA show that all service quality dimensions are important antecedent conditions of relationship quality for Portuguese brokers. Interestingly for Irish brokers, the combination of assurance, responsiveness and the insurer’ empathy conjunctively accounted for their satisfaction, whereas none of these quality factors are related to their commitment and trust. All SCM factors are important to explain the brokers’ relationship quality with their chosen insurers for both countries.

This study contributes to three areas of research: service quality, SCM and relationship marketing. Firstly, this study used an asymmetrical approach to providing insights into the effect of service quality dimensions by showcasing how these dimensions were configurated to explain the outcome of interest, rather than examining their symmetrical path coefficients. Secondly, this study identified the key factors of SCM in the insurance industry and how these factors can be configurated through Boolean algebra to explain relationship quality between supply chain partners. Finally, this study has implications for relationship marketing research.

As the study was conducted with the insurance brokers in Portugal and Ireland, the findings have implications for the insurance companies for the two countries. As different service quality factors and SCM exert different effects on relationship quality, the insurance companies should look into these factors to modify their current practice to improve relationship quality with their brokers.

Theoretically, to the best of the authors’ knowledge, this is the first study to approach from intermediaries to address effectiveness of SCM. Methodologically, to the best of the authors’ knowledge, this is the first study to use fsQCA – a case-based approach to understand SCM and relationship quality between stakeholders.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

The purpose of this paper is to provide a systematic analysis about the effects of additive manufacturing (AM) technology adoption on supply chain management (SCM) processes and SCM components in an engineer-to-order environment.

Based on two explorative case studies from the hearing systems industry, the impact of AM technology adoption on SCM processes and SCM components is investigated. General systems theory and the contingency approach serve as theoretical underpinning.

Not only the internal processes and management activities, e.g. in manufacturing and order fulfillment, of producers are affected by a changeover to AM, but also the SCM processes and components relating to the supply and demand side of a firm’s supply chain. Endogenous and AM technology-related factors are contingency factors that help to explain differing effects of AM technology adoption on SCM processes and SCM components.

It is proposed that AM’s ability to economically build custom products provides the potential to alleviate the common dilemma between product variety and scale economies.

Manufacturing firms are encouraged to consider the potential effects of AM on SCM processes and SCM components when deciding whether to adopt AM technologies in the production of industrial parts.

The research adds to the widely unexplored effects that AM technology usage in customized parts production has on SCM processes and components. Moreover, the general lack of case studies analyzing the implications of AM technology adoption from a supply chain perspective is addressed. The resulting propositions may serve as a starting point for further research on the impact of AM in engineer-to-order supply chains.

This paper aims to present the results of a study of supply chain management (SCM) practice in small‐ to medium‐sized enterprises (SMEs) in Merseyside, UK.

A questionnaire is used to identify the perceived benefits, barriers and attitudes towards SCM. The questionnaire was distributed to 250 SMEs in the Merseyside area. A total of 60 usable replies were received.

The results reveal the perceived benefits of SCM to SMEs, which centre on SCM as a means to improve customer responsiveness. It also reveals concerns over SMEs' ability to adapt to these new working relationships and therefore gain the desired benefits. Analysis of these barriers highlights that they reside at the individual, relational and organisational level, thus increasing the complexity of adapting to SCM.

Given the focus of the paper, this only looked at SMEs in the Merseyside area.

The paper provides thoughts on how SMEs can improve SCM within their own organisations and supply chains. This includes the adoption of a multi‐faceted change management approach to facilitate the adoption of SCM. This needs to cover the individual, relational and organisational levels.

Much of the SCM literature is dominated by case studies of large manufacturing organisations. The focus on the barriers and benefits to SMEs in a regional area is thus an identified gap in the extant literature.

This study pinpoints the critical factors influencing the acceptance of blockchain technology in supply chain management in the light of the extended unified theory of acceptance and use of technology (UTAUT2) with additional factors personal innovativeness in technology and user's self-efficacy.

The questionnaire-based data was obtained from SC professionals in China (Beijing). The essential factors influencing it are evaluated through structural equation modeling (SEM), using AMOS software.

The empirical findings specify that performance expectancy, facilitating conditions, price value, hedonic motivation, user self-efficacy, and personal innovativeness are positively influencing user satisfaction. User satisfaction has a substantial progressive effect on habit. Furthermore, facilitating conditions, price value, habit, user self-efficacy, personal innovativeness, and user satisfaction have a progressive impact on continued intention to use blockchain technology in supply chain management.

Although numerous studies investigated the influencing factors of blockchain technology adoption in supply chain management, no study examined the determinants of UTAUT2. However, this study not only empirically studied the UTAUT2 model but also extended it with the most influencing elements such as personal innovativeness in technology and user's self-efficacy. Furthermore, this study contributes to the BT-enabled SCM literature by studying the continued use and acceptance, rather than testing behavioral intention and initial adoption which is common in previous studies of BT-enabled SCM. Finally, this study discusses the limitations, future directions, and managerial implications of the results so that supply chain professionals can deliver what supply chain stakeholders require.

The purpose of this paper is to review a sample of the literature relating to the financial impacts of supply chain management (SCM) and suggest future research directions.

49 research articles between 1990 and 2011 are collected from various academic databases and online sources. By conducting content analysis, empirical findings on the relationship between SCM and firm-level financial performance are summarized and classified. Performance drivers are identified from the literature to guide future SC practices.

Both accounting- and market-based financial performances are closely related to the effectiveness of SCM. As important performance drivers, sourcing strategy, information technology (IT), SC integration, and external relationships play critical roles to improve firm-level financial performance. In particular, optimal levels of outsourceability, SC alignment and integration with IT infrastructure, and SC relationship management are essential to realize full financial advantages of effective SCM.

A better understanding and demonstration on how SCM makes positive contributions to financial performance help SCM managers to better communicate with top management and substantiate their roles in the organization.

To the authors' best knowledge, this paper is the first and the most comprehensive literature review in a much-needed research area. A number of performance drivers are identified to provide practical guidance. Some promising research areas are suggested for further investigation.