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The study examined the influence of small and medium enterprise (SME) owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Data were collected from SME agro-processing firms. The determined sample size for the agro-processing firms was 200, while an effective sample size of 177 was obtained. The Covariance Structural Equation Modelling software was used to obtain results on the influence of SME owner-managers' managerial competencies on supply chain performance, the mediation role of information quality on the SME owner-managers' managerial competencies and supply chain performance relationship, the mediating role of information quality on the information sharing and supply chain performance relationship and the mediating role of both information sharing and information quality on SME owner-managers' managerial competences and supply chain performance relationship.

Findings indicated that a positive significant influence of SME owner-managers' managerial competencies on supply chain performance and the presence of partial mediation effects when the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance relationship and the information sharing and supply chain performance relationship is tested. Also, a partial mediating role of information sharing and information quality is obtained in the SME owner-managers' managerial competencies and supply chain performance relationship.

The study mainly focused on SME agro-processing firms eliminating other SME manufacturing firms. Also, the research employed a wholistic approach when studying the SME agro-processing firms without focusing on how SME owner-managers' managerial competencies would affect information sharing, information quality and supply chain performance based on the market type (local or foreign) and the source of raw materials (local or foreign) and the impact of information sharing on information quality hasn't been given significant attention in the existing literature.

The research focused on the mediation role of quality of information shared by SME owner-managers in the relationship between information sharing and supply chain performance, the mediating role of information quality in the SME owner-managers' managerial competencies and supply chain performance and the mediating role of both SME owner-manager's information sharing and quality of information shared in the relationship between SME owner-managers' managerial competences and supply chain performance. These mediation effects haven't been given significant attention in previous research. Further, while information sharing and information quality have been studied, they have been studied at a supply chain level, not at a managerial level.

The supply chain agility (SCA) is becoming a source of competitive differentiation but debate on its antecedents which can result in optimal firm performance is still non-pervasive in the literature. Taking this gap into consideration, the current research aimed at investigating various enablers of supply chain agility of Pakistani pharmaceutical industry.

The data were collected from 204 top executives working in different supply chain functions including planning, supplying, operations and purchasing in national and multinational pharmaceutical companies in Pakistan.

Through serial-mediation model, results revealed the strength of various SCA enablers, along with the mediating roles of delivery dependability.

This study adds in the literature on how various supply chain enablers and competencies help the organizations to achieve supply chain agility and performance, especially in a developing country.

This research aims to understand how competencies for supply chain professionals are developed and how they can affect the manager's performance, especially the manager's resilience in times of significant supply chain disruptions.

A research model was developed based on a comprehensive literature survey in the area of individual competencies grounded in the knowledge-based view of the firm. We tested our research model using a quantitative, survey-based study with a sample of 175 Pakistani supply chain managers. The hypotheses were tested using structural equation modelling (SEM).

The analysis identified corporate training and knowledge sharing as the main antecedents of supply chain professional's competencies. It also showed that these competencies result in higher performance in the form manager's resilience and job performance.

This study provides a valuable framework for organisations to focus on skill-developing training and promoting a knowledge-sharing culture among employees to achieve desired performance levels.

This study is unique as no prior research studied such a comprehensive model of antecedents and consequences of supply chain professionals' competencies.

Today’s marketplace has witnessed intense competitive pressures and high levels of uncertainty and disruption. Therefore, supply chains require agility to obtain a sustainable competitive advantage and cope with uncertainties as well as disruptions. Although a wide range of studies exists on supply chain agility (SCA) from the perspective of antecedents or consequences, there is little research on the investigation of enablers of SCA and their relations among them. Furthermore, the literature has investigated proactive and reactive enablers for enhancing SCA, but most studies have not sufficiently framed their analysis of both aspects synchronically. This paper aims to find out the interrelationships among the proactive and reactive enablers for enhancing SCA.

An extensive literature review has been conducted to identify SCA enablers and a Delphi study has been performed to elucidate SCA enablers in the manufacturing industry in Turkey. Interpretive structural modeling (ISM) has been used to identify the contextual relationship among the SCA enablers, and the model has been validated based on Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC) analysis.

On theoretical and practical levels, the proposed ISM model in this study can help organizations analyze and interpret interrelationships among enablers of SCA. For managers, it can provide better insights and understanding of the facilitators of SCA to enhance the effectiveness of the supply chain and cope with uncertainties and turbulence. According to results, enhancing “supply and demand side competency”, “delivery speed” and “strategic sourcing” are the most significant enablers of SCA.

The study extends the existing literature related to the enablers of SCA by modeling the proactive and reactive enablers of SCA based on the Al Humdan et al. (2020) classification. Arranging the enablers of SCA in a hierarchy and classifying the enablers into different levels with the help of the ISM-MICMAC approach is an exclusive effort to achieve successful management of the supply chain.

The purpose of this paper is twofold: firstly, to provide a measurement instrument for supply chain 4.0 ambidexterity by applying the theoretical perspective of ambidexterity to advance Industry 4.0; secondly, to empirically analyse how supply chain 4.0 ambidexterity and lean supply chain management contribute to enhancing the focal firm’s operational performance.

Empirical results are obtained through analysis of survey data from a sample of 209 Spanish focal firms in industrial sectors in an intermediate position in the supply chain. Structural equation modelling was performed to test the three proposed hypotheses.

Drawing on resource orchestration theory and the relational resource-based view, this study empirically demonstrates the full mediating role of lean supply chain management in the relationship between supply chain 4.0 ambidexterity and the focal firm’s operational performance.

Although recent research has highlighted the pertinence of applying inter-organisational ambidexterity to foster Industry 4.0 (Hofmann et al., 2019), to the best of the authors’ knowledge, this is one of the first studies to apply this theoretical framework to explain the transition to supply chain 4.0. In addition, to date, to the best of the authors’ knowledge, no study exists that has developed a measurement scale and used this concept in an empirical analysis to advance theory development.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

This study aims to explore how inter-organizational systems (IOSs) drive tourism businesses to a new normal based on the resource-based view through the supply chain of tourism and information and computer technology used in IOSs.

Data were collected from the management of tourism businesses, and stratified sampling was used in the study. The authors selected 1,000 travel agencies as the study sample, mailed the research questionnaire to their managers and received 252 completed questionnaires. The authors analyzed the data using the partial least squares approach.

IOS is seen as a transformational service mechanism that provides a dynamic support weapon for members of the tourism supply chain. Tourism businesses should look for suppliers providing comprehensive services through IOS, excellent quality tourism products and customized tourism products to enhance the competitiveness of tourism businesses in the new normal.

This study provides an industrial marketing research perspective on tourism businesses facing the challenges of the new normal. For tourism businesses, technological innovation allows for changes in the strategies and procedures for their transformation and improves the business model of tourism businesses in the new normal.

Proactive risk assessment suggests that risk assessment should emphasize the consequences that it might cause and the opportunities it might create for firms. Hence, this study aims to validate risk impact on supply chain performance in the context of the Vietnamese construction sector. Also, a complex network, in which multiple risk factors mutually affect, impede or promote each other, is developed to assist managers in tackling unpredictable risks proactively. In particular, the authors investigate whether certain risks could be considered either challenges or opportunities for businesses in turbulent times to improve SC performance.

The construction industry is the focal study context as it is one of the most essential industries in charge of providing accommodations, infrastructures and employment for society. 289 valid responses used in this research are from a large-scale survey result, supported by a Japanese government project promoting sustainable socio-economic development in Vietnam.

From the study findings, the authors find that external risk brings opportunities for supply chain performance. Meanwhile, demand risk, when it occurs, can reduce the danger level of operational risk, which is an interesting finding of this research. It is evident that when multiple risk factors mutually affect, impede or promote each other, it provides a more meaningful examination of mutually interconnected supply chain risks.

Practitioners should perceive risks as an opportunity than a threat. This study contributes to preventing risks and guaranteeing an effective and efficient supply chain by tackling unpredictable risks in a disruptive period. Moreover, data on validating research models collected during the Covid-19 pandemic and Ukraine and Russia conflicts reflect the topicality of this study.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.

The purpose of this study is to examine how supply chain strategy affects a firm's sustainability performance and how the strength of that relationship is influenced by managerial authentic leadership (AL) and its associated impact on interorganizational citizenship behavior (ICB).

Building on the intersection of three theories: organizational ambidexterity, AL and ICB, a mediated moderation model is developed and tested using structural equation modeling based on the responses from a cross-sectional survey administered by the authors.

The results reveal that an ambidextrous supply chain strategy is positively related to firm sustainability performance and this relationship is strengthened by AL. Furthermore, this study finds that this moderating relationship is partially mediated by ICB.

To the best of the authors’ knowledge, this paper is among the first to empirically test the effect of supply chain ambidexterity on sustainability performance by explicitly considering how leadership characteristics can both directly and indirectly affect the efficacy of this relationship. The findings complement existing literature by providing novel insights into the ability of firm supply chain strategy to affect sustainability performance.