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The main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.

Data were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.

Empirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.

Findings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.

This research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

The purpose of this paper is to empirically examine the mediating role of potential and realized absorptive capacity in intellectual capital (IC) and business performance. It also investigates the direct impact of the components of IC on business performance.

Partial least square-structural equation modeling (PLS-SEM) was used to assess the effect of IC dimensions on performance and to analyze the mediating role of absorptive capacity in this relationship. Data were collected from 192 managers using a survey questionnaire with Likert scale items.

The findings of the study show that potential absorptive capacity does not intervene in the relationship between the components of IC and those of business performance. However, realized absorptive capacity, measured as the transformation and exploitation of knowledge, played a positive mediating role in the relationship between the dimensions of IC and those of business performance. Social capital was also noted as a weak predictor of business performance, while human capital and organizational capital had a profound positive influence.

This study contributes to the literature on IC by examining the role of realized and potential absorptive capacity in the relationship between IC components and firm performance. This research also helps practitioners recognize the importance of transformation and the exploitation of knowledge for business performance.

Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.

A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.

The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.

The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.

The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.

The study aims to develop a construct to measure talent management (TM) in an organization.

The study adopts a fourfold approach to develop the construct. Data were collected through close-ended questionnaires by conducting surveys from human resource professionals. Exploratory factor analysis and confirmatory factor analysis techniques were employed to analyze the data and develop the construct.

Results of the study indicate that TM practices are crucial in changing business dynamics. A final 26 items under 5 factors (identification of critical positions, talent acquisition, talent development, talent engagement, and talent retention) were found significant and integrated TM strategies in uncertain economic environments.

This research focuses on the entire process of the TM cycle and develops an integrated construct of TM; thus, the study will provide an in-depth understanding of TM strategies to practitioners and researchers, facilitate researchers for the effective conduct of empirical research work on TM, whereas, for practitioners, this work will support in designing of TM strategies leading to organizational performance.

This is the first research study that has been done in the context of South Asia. It will help build up TM strategies to the necessity of a business environment.

By taking the theory of entrepreneurial legacy as the baseline, this study explores the various aspects of succession planning in indigenous family businesses especially the role of female family members in succession and conflicts in family businesses.

The study is qualitative in nature and adopts narrative inquiry to explore the aspects of succession planning. In doing so, the study utilizes an in-depth interviewing technique with nine participants who run their family-owned firms which are mostly in their second or third generation for analysis.

The findings are concurrent with the literature that indicates a lack of strategic succession planning although ordinary or natural succession does occur in some firms. The study also reports a lack of consideration for female members in succession, daughters in particular, for traditional family firms (FFs) in contrast to entrepreneurial FFs.

The study has many implications for family-owned firms in Pakistan as they need to align their family business with the theory of entrepreneurial legacy and its three strategic activities in order to ensure the longevity of their business.

Exploring how succession planning takes place in family indigenous family businesses and what is the role of female family members in succession and conflicts in family businesses are original contributions of this study.

This study examines the outsourcing criteria prevalent in the Hotel industry of Pakistan. In doing so, the study investigates the role of trust in the association between relationship marketing dimensions—communication, opportunistic behavior, reputation, satisfactory prior outcomes and specific investment—and third-party logistics provider’s (3PL) selection.

Using a close-ended questionnaire, data were collected from 97 hotels of various categories operating in Pakistan and involved in 3PL outsourcing. Partial Least Square–Structural Equation Modeling was employed to estimate the modeled relationships.

With a high predictive relevance of the model, communication, satisfactory prior outcome and reputation were found to have a significant effect on the trust, whereas the results showed a significant mediating role of trust in the association between communication, reputation and 3PL provider’s selection.

The study uses static data from selected firms and cannot be used to analyze behavior over a period of time. Hence, a generalization of results should be made carefully.

Findings imply that for fully capitalizing on the benefits by virtue of their prospective relationship, the managers must streamline their processes and activities according to path directions that endorse a higher degree of trust in their service providers and establish an effective system of communications interconnecting their mutual goals and objectives.

The outcome of the research study illustrated the perceptions of the local businesses with regards to the 3PL service provider(s) selection via the establishment of trust.

Implementing sustainable practices in multi-tier supply chains (MTSCs) is a difficult task. This study aims to investigate why such endeavours fail and how MTSC partners can address them.

A single-case study of a global food retail company was used in this study. Semi-structured interviews with the case firm and its first- and second-tier suppliers were used to collect data, which were then qualitatively analysed using thematic analysis.

Major barriers impeding the implementation of sustainability in multi-tier food supply chains were revealed such as the cost of sustainability, knowledge gap, lack of infrastructure and supply chain complexity. Furthermore, the findings reveal five possible solutions such as multi-tier collaboration and partnership, diffusion of innovation along the chain, supply chain mapping, sustainability performance measurement and capacity building, all of which can aid in the improvement of sustainability practices.

Future research should investigate how specific barriers and drivers affect specific aspects of sustainability, pointing practitioners to specific links between the variables that can aid in tailoring sustainability oriented investment.

This research supports managerial comprehension of MTSC sustainability, pointing out ways to improve sustainability performance despite the complex multi-tier system of food supply chains.

The research on MTSC sustainability is still growing, and this research contributes to the debate about how MTSCs can become more sustainable from the perspective of the triple bottom line, particularly food supply chains which face significant sustainability challenges.

This study examines the influence of human capital, overall and by dimensions, on the export performance of small and medium enterprises (SMEs) in the manufacturing sector of Pakistan. The study also investigates the role of absorptive capacity in the relationship between human capital dimensions and export performance.

Data from 586 manufacturing sector SMEs were collected for analysis. The study applied covariance-based structural equation modeling (SEM) to estimate the hypothesized relationships.

As a whole, human capital was found to exert a direct and indirect impact on export performance, particularly for the medium-sized firms and for firms with medium to high levels of export intensities. Nevertheless, not all dimensions of human capital mattered for export performance. Education and training were found to pose the greatest influence on export performance of those firms.

The results suggest that when devising appropriate policies for SMEs, the impact of different dimensions of human capital need to be considered for addressing challenges related to the internationalization of firms. In short, developing the right human capital is essential for SMEs to compete at the international level.

Unlike previous studies, this study decomposed the influence of different dimensions of human capital on export performance and assessed the mediating role of absorptive capacity. The study is also among the pioneering studies in SMEs sector of Pakistan to analyze the role of absorptive capacity in the relationship between various dimensions of human capital and export performance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2019-0198

The purpose of the study is to ascertain the mediating role of meaning between servant leadership and work engagement. The study also explores the relationship between servant leadership and work engagement.

The data were collected from 704 service sector employees working in Pakistan through survey design. The data analysis was done through structural equation modeling using PLS-Smart and hierarchical regression using SPSS.

The results revealed that servant leadership was related to meaning and work engagement. Moreover, meaning was found to be related to work engagement. Finally, meaning was found to mediate the relationship between servant leadership and work engagement.

The research has ascertained the previously unexplored mediating role of meaning between servant leadership and work engagement.