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This study explores the mechanism by which intellectual capital (IC) [i.e. human capital (HC), structural capital (SC) and relational capital (RC)] influences small and medium-sized enterprise (SME) efficiency in the presence of business model innovation (BMI) as a mediator.

Data collection is conducted through a survey completed by 319 owners and top managers of SMEs operating in the manufacturing sector in three cities in Pakistan. A simple random sampling method is used. A structural equation modeling artificial neural network (SEM-ANN)-based approach is applied to evaluate the role of IC predictors. The mediation results are authenticated using PROCESS.

The results indicate that HC, SC and RC significantly influence SME efficiency and BMI. Furthermore, BMI fully mediates the relationship between human capital and SME efficiency, while partially mediating the relationship between structural capital and SME efficiency, as well as between SC and SME efficiency.

This study pioneers research into the link between IC and SME efficiency. It contributes to the literature by defining IC as an antecedent of SME efficiency. It further contributes to the literature by defining IC as an antecedent and BMI as an intervening variable of SME efficiency.

This paper considers the importance of prohibitive voice in organizations' health. This study aims to explore the role of ethical leadership, reflective moral attentiveness and leader identification.

Two waves of data collection were conducted, including 534 responses in T1 and 242 in T2. This research evaluated hypotheses using Partial Least Squares Structural Equation Modeling approach with Smart PLS 3.2.9.

Ethical leadership has a direct positive effect on employees' prohibitive voice. Furthermore, reflective moral attentiveness mediates the associations between ethical leadership and prohibitive voice. Finally, leader identification moderates only the relationship between ethical leadership and employees' moral behavior (prohibitive voice), not moral cognition (reflective moral attentiveness).

This paper provided insight into how and when ethical leaders could promote prohibitive voice behavior. Specifically, the authors explored the mediating role of reflective moral attentiveness and the moderating role of leader identification.

Drawing upon the natural resource-based view (NRBV), the present study explores the role of green dynamic capability (GDC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the hotel industry. The research further assesses green performance (GP) as a resultant factor of GI.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave, two-week time-lagged design (N = 303). In addition, the study also intends to apply partial least squares structural equation modeling (PLS-SEM) and fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GDC. The results show numerous combinations using fsQCA that can be utilized to increase GP.

There is little empirical evidence to study GTL and GI in hospitality studies. This work empirically investigates GTL, GDC and GI relationships to fill a knowledge gap. It also explains undiscovered factors and provides causal recipes to improve GP using fsQCA.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

The research investigates the relationship between halal credence, awareness, certification, need for cognition (NC), effort, health consciousness, and satisfaction towards halal food (STHF). In addition, observe the influence of STHF on purchase intention explored. Finally, religiosity is examined as a moderator between STHF and halal purchase intention.

The data was collected from Muslim participants in Guangzhou and Shenzhen, China. A total of 476 respondents take part in this research. The data was collected from Muslims who eat food from halal food hotels. A purposive sampling technique is used to collect data from respondents. PLS-SEM is followed to test the proposed hypotheses.

The results reveal that halal credence, awareness, certification, effort, and health consciousness increase STHF. Conversely, NC does not influence STHF. Moreover, STHF significantly determines halal purchase intention. Finally, religiosity strengthens the positive association between STHF and purchase intention.

Food marketers and policy decision-makers can use research findings to enhance halal purchase intention. In China, Muslim customers usually search for halal food by putting in extra effort and seeing halal certification. They trust halal food because religiosity is their priority.

This initial research incorporates halal credence, halal awareness, certification, NC, effort, health consciousness, STHF, and religiosity to examine halal purchase intention using the theory of planned behavior (TPB).

This study aims to investigate the relationship between high-commitment human resource management (HCHRM) practices and emigration intentions in a developing country context. It further examines the mediating roles of perceived organizational support (POS) and job satisfaction in this relationship.

Using the survey method, data were collected online from 407 employees. Structural equation modeling (SEM) in Amos v. 23 was conducted to scrutinize the structural relationships among the variables.

The study revealed that HCHRM practices do not directly impact emigration intentions. However, they do significantly influence POS, which, in turn, has a positive effect on job satisfaction. Consequently, HCHRM practices indirectly affect emigration intentions through the serial mediation of POS and job satisfaction.

While this study provides valuable insights into the intricate dynamics of HCHRM practices, organizational support, job satisfaction and emigration intentions, it has certain limitations, such as its specific focus on Kosovo and its reliance on cross-sectional data. Future research could explore these relationships in diverse settings and use longitudinal designs for a more profound understanding.

To the best of the authors’ knowledge, this study represents the first empirical investigation into the connection between HCHRM practices and emigration intentions within a developing country context. It underscores the significance of considering not only specific HRM practices but also broader contextual factors and mediating mechanisms, shedding light on how HCHRM practices influence employee intentions to emigrate. The findings provide a unique perspective for organizations and policymakers dealing with emigration challenges in developing countries.

This study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models.

Questionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software.

The empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM.

This study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.

This study investigates the interaction between organizational strategic factors (Leadership and management support [LMS] and green learning orientation [GLO]) and green innovation performance (GIP), through the lens of resource-based view (RBV) theory. It examines both the direct and indirect impacts of these factors on GIP via green knowledge management (GKM), and explores how green absorptive capacity (GAC) enhances these relationships.

Using Partial least squares structural equation modeling (PLS-SEM) and moderated mediation analysis, we analyzed responses from 419 individuals across 154 manufacturing firms in Pakistan to understand these dynamics.

Results show that LMS and GLO significantly affect GIP, both directly and indirectly, through GKM. Furthermore, GAC intensifies the impact of GLO on GKM and the influence of GKM on GIP, indicating a moderated mediation effect.

Highlighting the importance of LMS, GLO, GKM, and GAC, the study suggests that focusing on these areas can help firms align their strategies with sustainability goals, enhancing their GIP. These insights can guide policymakers in creating supportive strategies for businesses to improve their GAC, facilitating better knowledge adoption and application.

The research contributes to the RBV theory by clarifying the role of strategic organizational factors in enhancing GIP within manufacturing firms, offering a clearer path to achieving sustainability goals.