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The new era of supply chain management is characterised by key change drivers, e.g. Industry 4.0, and post-COVID-19 VUCA (volatility, uncertainty, complexity and ambiguity) business environment, in addition to the rising requirements for sustainability, responsiveness and customer centrism. An important and topical question in this context is what supply chain managerial competence logistics managers need to possess in order to enhance their individual performance in the new era. This question is addressed in this paper, which also explores the nexus of supply chain managerial competence expectation and possession upon which human resource development strategies are proposed accordingly.

The survey research design is adopted to empirically examine logistics managers’ supply chain managerial competence in the new era, and the forward-backward translation process was strictly followed. Data were collected through a survey conducted with owners or managers of Vietnamese firms whose business is in the logistics and related business areas, and 269 valid responses were used for analysis.

Results indicated that the proposed profile of four groups (foundation, core, specialist and technology-IT) and 38 competencies are valid and important to the individual performance of logistics managers in the context of Vietnam, which supports the tenet that logistics managers in the new era need to have a well-rounded profile of competencies, including those derived from contemporary change drivers. It was also found that the foundation competency group is perceived as more important than others, which is context specific given the current logistics development in Vietnam. Besides, it was also revealed that respondents in this research currently possess those competencies at a level which is lower than their perceived importance. An Importance-Possession (IPM) Matrix of Competency Development was mapped accordingly.

The generalisation of this study would require further empirical examination from similar studies in other contexts, i.e. in other manufacturing and service sectors as well as in other developing and developed countries where logistics development is at different stages.

This research provides insights into the current competency profile of logistics managers in Vietnam, which can assist senior management with human resources development in their firms. Specifically, it is essential that Vietnamese logistics firms focus on providing education and training opportunities, both internally and externally, to enhance the level of possession of all competencies whose gaps between perceived importance and possession are the largest across the groups, especially those in the Maintaining Sustainably and Growing quadrants of the IPM.

Firstly, this research introduces an improvised framework of logistics managers’ supply chain managerial competence adopting the contingency approach, contributing to expanding the body of knowledge on how the competency profile of logistics managers should be developed. Secondly, the IPM matrix of competencies introduced in this research can be used as both the conceptual and managerial tool to classify and prioritise competencies for various purposes, e.g. education, training and policy implementation based on the nexus of supply chain competence expectation and possession.

This paper aims to study the bibliometric analysis of resource orchestration research in management and businessareas.

The research method is based on a three-step protocol of dataset setting, dataset refining and analyzing the data. First, the 202 published articles in the resource orchestration field were collected from the Web of Science database. Second, the document information was refined. Finally, we used the bibliometric analysis toolbox to investigate the documents. Also, bibliometric analysis in this research has been conducted using VOSviewer and SPSS software.

The findings of this research examined the evolution of the resource orchestration theory. Also, this paper has identified five major themes in this field: resource orchestration for entrepreneurship and innovation, orchestrating supply chain, orchestrating information technology resources, orchestrating intangible resources and the role of resource orchestration in small firm performance. Finally, emerging trends in the resource orchestration area include sustainable development, innovation and information technology.

This paper is the first to use bibliometric analysis to examine resource orchestration theory. Accordingly, this research contributes to the resource orchestration area through the theoretical evolution, underlying streams of research and emerging themes in research topics and methodologies.

Using the cognitive-affective-normative (CAN) model, this study highlights the role of self-regulated learning (SRL) and organisational culture and delves into the link between technophobia and a manager’s intention to adopt generative artificial intelligence (AI) in management practices.

An empirical study was conducted through a survey of 528 business managers from China.

The study reveals that technophobia is negatively related to a manager’s intention to adopt generative AI, while SRL is positively related to the intention to adopt generative AI. Moreover, SRL reduces the negative impact of technophobia on AI adoption. Open organisational cultures reduce the need for SRL.

This study goes beyond a purely technical perspective towards a “human-side” view on understanding managers’ adoption of generative AI. This study is an early attempt to apply the CAN model to analysing the connection between technophobia, SRL, organisational culture and the intention to adopt generative AI.

This study seeks to improve the understanding of the motivation driving the entrepreneurs of micro, small and medium enterprises (MSMEs) to integrate ICTs and why this process is easier for some. The unified theory of acceptance and use of technology (UTAUT) is a suitable framework for this analysis. Our research aims to establish an explanatory typology based on the optimization of individual perceptions of entrepreneurs and usage intentions which enables identification of those groups that possess a greater intention to use ICTs in their businesses. This sheds light on how these factors influence their information and communication technology (ICT) adoption intentions within their businesses.

This study adopts an alternative approach and methodology to contribute new insights into academic discourse regarding the Unified Theory of Acceptance and Use of Technology (UTAUT). Building upon the theoretical foundation of the UTAUT, the present study pioneers the application of Data Envelopment Analysis (DEA) to a dataset encompassing 436 Spanish entrepreneurs. The objective is to examine the combination of diverse UTAUT perceptions that optimise the intention to implement ICTs in their companies while minimising anxiety associated with the adoption of new technologies (the outputs). Based on the results obtained, an explanatory typology is established that combines perceptions and usage intentions.

When applied to our group of entrepreneurs, DEA reveals that certain individuals can optimise their intentions with their current perception levels. This discovery has enabled us to create an explanatory typology through an examination of the efficiency of various perception-intention and/or anxiety combinations. Our proposed typology aims to shed light on the debate as to why not all perceptions translate into intentions and why certain entrepreneurs have a greater intention to use ICTs. An investigation of these efficient entrepreneurs reveals a wide range of combinations, which encompasses both those in harmony with effective usage behaviour and those deviating from such behaviour.

DEA provides a snapshot of efficiency at a specific point in time and does not account for dynamic changes or adjustments over time, and DEA efficiency scores are relative measures that depend on the efficiency of other decision-making units in the dataset. The identification of appropriate benchmark units for comparison can be challenging, especially in heterogeneous datasets and cross-cultural analysis. In this respect, the UTAUT literature is lacking in cross-technology and cross-cultural comparisons.

Our methodology and results have implications for business management, business accelerators and economic policy. A detailed study of these clusters could reveal potential barriers and obstacles hindering the effective implementation of ICTs in MSMEs, thereby enabling researchers to focus on individuals who do not align with the model. Entrepreneurs classified in the most unfavourable typologies can take steps to enhance their perceptions, while administration and business accelerators can focus their efforts on these entrepreneurs.

The application of the UTAUT model on individual entrepreneurs receives limited coverage in the existing literature. To the best of our knowledge, this is the first study to utilise a DEA methodology within the framework of the UTAUT model (in contrast to the prevalent use of structural equation modelling in previous studies related to UTAUT). This analysis contributes fresh empirical evidence to the academic discourse on technology adoption models among individual entrepreneurs. Our methodology is a tool that reveals potential barriers and obstacles in individual perceptions that hinder the effective implementation of ICT in certain types of entrepreneurs.

In the face of frequent supply chain disruptions, this study aims to identify the relationships between human capital (HC), digital supply chain practice (DSCP) and supply chain robustness and resilience (i.e. SCRO and SCRE).

To examine the proposed conceptual model based on the resource-based view and organizational information processing theory, an empirical study was conducted using a sample of Chinese manufacturers. Hierarchical regression is applied to understand the direct effect, mediating effect and moderating effect among HC, DSCP, SCRO, SCRE and digital culture.

The results reveal that HC positively influences digital maturity and supply chain resilience. DSCP positively affects both SCRO and SCRE. However, HC does not significantly influence the adoption of digital tools, and only employees’ capital has a positive relationship with SCRO. In addition, the moderating effect of digital culture on the relationship between HC and DSCP was examined.

As an early exploration of the relationships among HC, DSCP, SCRO and SCRE, this study enriches the literature by offering new insights and responding to the call for more empirical research and theoretical application. It emphasizes the importance of HC and DSCP as strategic resources and highlights the need for a digital culture to implement DSCP.

As quality becomes increasingly prioritized in supply chain management, understanding how supply chain quality risk management (SCQRM) practices impact quality performance (QP) is essential. This study investigates the effects of two SCQRM practices – risk prevention (RP) and proactive product recall (PPR) – on QP, with a particular focus on the mediating role of supply chain quality integration (SCQI).

A structured survey was administered to gather data from 400 Chinese manufacturing firms. Structural equation modeling was employed to evaluate the proposed relationships among SCQRM practices (RP and PPR), SCQI and QP.

The findings reveal that both RP and PPR significantly and positively influence QP. Specifically, in the structural model, RP exerts a positive effect on SCQI, while PPR also positively impacts SCQI. Additionally, SCQI serves as a mediator between RP and QP, as well as between PPR and QP.

This study contributes to the supply chain management literature by elucidating the beneficial effects of RP and PPR on QP and identifying SCQI as a key mediating factor in these relationships. Leveraging information processing theory (IPT), the study provides new theoretical insights into the mechanisms through which SCQRM enhances QP via SCQI.

While the importance of supply chain learning (SCL) is widely recognized by both academia and industry, the mechanisms through which SCL is developed and its effects on environmental performance remain insufficiently understood. This study conceptualizes and empirically investigates the role of relational capital and information technology (IT) in enhancing SCL and improving environmental performance.

Drawing on socio-technical system theory (STS) and a knowledge-based view, this research employs structural equation modeling to test the proposed model, utilizing survey data collected from Chinese manufacturing companies.

The results demonstrate that relational capital with supplier and customer significantly enhances both supplier and customer learning. While IT does not directly impact supplier and customer learning, it exerts an indirect influence through its positive effect on relational capital. In other words, relational capital mediates the relationship between IT and supplier and customer learning. Additionally, this study finds that both supplier and customer learning enhance environmental performance.

This study provides actionable insights for managers, emphasizing the importance of relational capital in fostering SCL and improving environmental performance. By understanding these relationships, managers can develop more effective strategies for leveraging SCL as a tool for sustainability.

This study adds to the existing body of knowledge in supply chain management by offering a more nuanced and holistic model to explain how relational capital, IT and SCL interact to influence environmental performance, particularly within the context of Chinese manufacturing companies.

This study investigates the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and improving the firm performance. It also studies the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance.

This article aims to develop an empirical study using a random sampling technique and survey data collected from 368 managers and owners of different food enterprises in Vietnam. The study adopted a methodological approach quantitatively. Analysis of the relationships and confirmatory factors was performed using structural equation modeling (SEM), a technique to evaluate the proposed relationships.

In line with expectations, the findings emphasize the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and the role of supply chains as both direct and indirect mediators of the correlation between digitalization and improving the firm performance, in the context of emerging markets.

This is an important investigation, according to the authors' knowledge, regarding the role of developing human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) as a key strategy for accelerating the digitalization process and improving the firm performance. Further, the study's novelty reinforces the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance in the Vietnamese food companies, where a market economy is emerging.

This study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.

This study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.

At present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.

This study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

This paper empirically aims to investigate the influence of coercive, normative and mimetic pressures on sustainability and supply chain management (SCM) practices in a developing economy’s oil and gas industry. It examines the moderating role of firm size on these relationships, focusing on the three dimensions of the triple bottom line (TBL) approach: environmental, economic and social sustainability.

The hypotheses were tested using data from a comprehensive survey of 144 oil and gas firms operating in Nigeria. The analysis employs regression models to explore the direct effects of institutional pressures on SCM and sustainability practices and the moderating influence of firm size.

The findings confirm that coercive and normative pressures significantly enhance sustainability and SCM practices. However, mimetic pressures did not exhibit a significant impact. Additionally, firm size did not moderate the relationships between institutional pressures and sustainability or SCM practices, indicating that these pressures affect firms uniformly regardless of size.

This study contributes to the evolving literature on sustainability by understanding how different institutional pressures influence the adoption of sustainability and supply chain management practices in the oil and gas industry from a TBL perspective. It uniquely highlights the limited role of mimetic pressures and the uniform influence of institutional pressures across firms of varying sizes.