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Transport and logistics companies (TLCs) have adopted green practices to reduce their emission and waste in support of environmental protection requirements. However, not all green practices of TLCs have resulted in green performance (GP) because of inherent variations in internal abilities and external factors affecting firms in different operational environments. Using institutional (INT) and resource-based view (RBV) theories we develop a model that shows how institutional pressures and internal abilities impact TLCs’ GP.

Underpinned by INT and RBV theories, this study utilised structural equation modelling on a cross-sectional survey of 222 TLC firms operating in the Philippines.

The study reveals that TLCs’ regulatory compliance, social obligations and competitor pressures have significant direct effects on TLCs’ GP while supplier integration and resource capabilities serially mediate the relationships. The findings indicate that institutional pressures and internal abilities that shape firms’ environmental policies and procedures explain TLCs’ GP.

As a result of the cross-sectional nature of our data, findings may be time, population and prevailing situation dependent. The long-term validity of the research can be improved if longitudinal design is employed. We collected data from a single respondent considered as the best respondent. However, with time and resource availability, a jury of executives for each company would have been a better alternative respondent.

The findings of this research provide TLC managers, policymakers and other stakeholders with much-needed guidance for crafting policies and strategies for handling the challenges of caring for the planet and maintaining sustainable operations.

Improving green practices of TLCs to enable waste and emission reductions is critical to the health and well-being of people and the planet. An environment free of pollution will result in fewer health challenges, fewer medical/insurance-related expenses, and, above all, enable a higher quality of life and a more productive workforce.

Studies have extensively explored the green practices of TLCs as well as the influences of both institutional pressures and internal abilities of TLCs on their green practices. This study identifies critical factors that significantly affect the GP of TLCs and provides a conceptual framework for a better understanding of the dynamics of strategic, tactical and operational issues that TCLs may face in their effort at greening the sector.

This paper aims to how ethical leadership influences innovative behavior and employee motivation, focusing on the mediating role of corporate social responsibility within the framework of social exchange theory (SET).

Data were collected from 341 bank employees using convenience sampling, and hypotheses were rigorously tested with SPSS 22.

The results highlight the significant impact of ethical leadership on enhancing both employee innovation and motivation, with corporate social responsibility initiatives playing a crucial mediating role.

Drawing on SET, the research illustrates how ethical leadership fosters a reciprocal exchange environment, leading to deeper employee engagement and innovation driven by positive corporate social responsibility practices. By advancing theoretical understanding and providing practical insights, this study offers valuable guidance for organizations aiming to leverage ethical leadership and corporate social responsibility to cultivate a workforce that is both innovative and motivated.

This work aims to analyze the factors that influence the performance and efficiency of Portuguese companies, namely the influence of social and environmental features.

To achieve our aim, we have used the Portuguese benchmark index, the Portuguese stock index – PSI, during the period from 2016 to 2020. To test the hypothesis panel data methodology was used, specifically, the GMM system originally proposed by Arellano and Bond (1991) and the Value-Based DEA developed by Gouveia et al. (2008).

The results of the GMM model show that social performance has a negative relationship with the company’s performance, from the perspective of different stakeholders, reinforcing that the cost-benefit trade-off of social spending is not yet understood as advantageous for the company’s performance. On the other hand, environmental performance, for external stakeholders, positively influences the company’s performance, perhaps due to pressure from society and the tradition of disclosing environmental matters. The value-based DEA results reinforce that from the perspective of the external stakeholder, non-efficient companies must increase their environmental performance to become efficient, highlighting the role of environmental performance in explaining efficiency. It is unanimous that social performance is still not seen as a lever of efficiency.

This is the first work to use a hybrid methodology to understand the performance determinants of a small banking-oriented country, emphasizing environmental and social aspects.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

This paper presents a comprehensive study using bibliometric and social network analysis (SNA) to depict the academic community, research hotspots and the correlation between research performance and social network measurements within Library Hi Tech.

Publications from Library Hi Tech between 2010 and 2022 are reviewed and analysed through coauthorship analysis, co-occurrence analysis, SNA and the Spearman rank correlation test.

The annual number of publications in Library Hi Tech increased from 2016 to 2022, indicating that this research has gradually gained global attention. The USA and China are the most significant contributors to the relevant publications. Scholars in this field mainly engage in small-scale cooperation. Academic libraries, digital libraries, libraries, information technology and COVID-19 were hot topics during the study period. In light of the COVID-19 pandemic, there was a marked increase in research on healthcare. Academic interest in the internet of Things and social media has proliferated recently and may soon attract more attention. Spearman rank correlation analysis shows that research performance (i.e. publication count and citation count) is significantly and positively correlated with social network measurements (i.e. degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) in studies of Library Hi Tech.

This paper reveals a systematic picture of the research landscape of Library Hi Tech and provides a potential guide for future research. The relationship between scientific research performance and social network measurements can be objectively identified based on statistical knowledge.

This study aims to find out whether firms in the local textiles industry are benefiting from the combined implementation of lean practices (LPs) and quick-response manufacturing (QRM) during the era of COVID-19. The study further explores the mediating role played by quick response manufacturing in the relationship between LPs, internal process performance (IPP) and customer performance.

A questionnaire is used to garner data from 123 local firms in Ghana’s textile industry. The analysis for all the hypothesized relationships is done using partial least square structural equation.

The results of the study indicate that LPs significantly strengthen the implementation of QRM. The result also suggests that LPs and QRM can be combined to influence IPP and customer performance. The results further suggest that QRM mediates the relationship between LPs, IPP and customer performance.

This study proposes and develops an integrated research model that explores the synergistic application of LPs and QRM in achieving improvements in IPP and customer performance from an emergent country perspective during the era of COVID-19. QRM serves as an important mechanism through which the relationship between LPs, IPP and customer performance can be explained.

The view that dynamic capabilities theory can help explain how lean organizations improve has been put forward by scholars. However, there is still a lack of research on the matching relationship between the application of lean practice and the internal elements of enterprise organization from the perspective of dynamic capabilities. The purpose of this study is to validate the moderating effect of dynamic capabilities on the relationship between lean practices and operational performance.

This study used the method of survey and empirical research to collect sample data from 263 enterprises in China. Through literature review, this study put forward the moderating hypotheses around dynamic capabilities, lean practices and operation performance and used the method of regression analysis to validate these hypotheses.

The results showed that dynamic capabilities have a partially moderating effect on the application of lean practices. Specifically, dynamic capabilities have a significant moderating effect on the relationship between just-in-time, total quality management, total preventive maintenance and operational performance, while dynamic capabilities have no significant moderating effect on the relationship between human resource management and operational performance.

The research conclusion complements and enriches the lean practices literature from the perspective of dynamic capabilities. Existing studies mainly focus on the moderating role of external environmental factors, while there is a lack of empirical research on the role of dynamic capabilities in lean practices literature. The research results will help enterprises further understand the matching relationship between lean practices and dynamic capabilities and then improve the success of lean practices application.

This paper aims to explore advances in indirect personality assessment, with emphasis on the psychology of digital behavior based on the analysis of new technological devices and platforms for interpersonal relationships, identifying – along the way – those findings that may be useful to carry out a reconstructive psychological assessment (RPA) of applicability in the legal context.

Different fields of knowledge are explored, transferring the findings to the field of psychology of digital behavior, analyzing the publications that report findings on the analysis of new technological devices and platforms for interpersonal relationships and identifying – along the way – those findings that may result useful to carry out an RPA of applicability in the legal context.

The application of RPA represents a significant advance in the integration of criminal psychology and forensic technology in legal contexts, opening new fields of action for forensic psychology.

The article has transferred advances in computer science to the field of forensic psychology, with emphasis on the relevance of RPA (from the analysis of digital behavioral residues) in the interpretation of behavioral evidence for the indirect evaluation of the personality and within the judicial context (when the victim and/or accused are not included).