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We aim to compare multifunctionality, ecosystem services and just transition as overall conceptual approaches to understand agri-food systems.

This is a theory-motivated literature study.

This paper argues that the concepts of multifunctionality and ecosystem services are unsuitable for considering the systemic complexities of today’s food system in order to tackle its grave environmental and social problems. Furthermore, these two concepts tend to neglect the negative externalities of food systems and overemphasize the positive ones. The notion of just transition puts justice and sustainability at the center of agri-food studies and defines targeted systemic interventions in food systems.

While the approach of just transition is only starting to be widely applied to the agriculture–food nexus, we argue that it is better suited to re-orient diets, production processes, the value chain and labor conditions in a more sustainable direction. The just transition approach is also useful in drafting systemic policy innovations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0740

This paper investigates the relationship between teleworkers' perceptions of corporate social responsibility (CSR) and employee engagement (EE) in remote work.

A quantitative research approach was used, involving a questionnaire distributed via convenience sampling. Data from 205 valid responses from teleworking employees in Spain were analysed using structural equation modelling to test the hypothesis regarding the association between CSR and EE.

The study found that CSR’s social and environmental dimensions positively impact EE among teleworkers. However, the economic dimension of CSR only partially influences EE in a telework setting.

The findings suggest organisations can enhance EE during telework periods by focusing on social and environmental CSR initiatives. This approach can mitigate the reduced EE associated with remote work, improving organisational performance, productivity, satisfaction and employee well-being.

This study provides empirical evidence on the positive effects of CSR’s social and environmental dimensions on EE in a telework context, offering valuable insights for organisations navigating the post-pandemic landscape. Also, specific CSR strategies can establish a competitive advantage by fostering a motivated and engaged remote workforce.

Este artículo investiga la relación entre las percepciones de los teletrabajadores sobre la responsabilidad social corporativa (RSC) y el compromiso de los empleados (EE) en el trabajo remoto.

Se utilizó un enfoque de investigación cuantitativa, mediante un cuestionario distribuido a través de un muestreo por conveniencia. Se analizaron datos de 205 respuestas válidas de empleados teletrabajadores en España utilizando modelos de ecuaciones estructurales para probar la hipótesis sobre la asociación entre RSC y EE.

El estudio encontró que las dimensiones sociales y ambientales de la RSC impactan positivamente en el EE entre los teletrabajadores. Sin embargo, la dimensión económica de la RSC solo influye parcialmente en el EE en un entorno de teletrabajo.

Los hallazgos sugieren que las organizaciones pueden mejorar el EE durante los períodos de teletrabajo al enfocarse en iniciativas de RSC social y ambiental. Este enfoque puede mitigar la reducción del EE asociada con el trabajo remoto, mejorando el rendimiento organizacional, la productividad, la satisfacción y el bienestar de los empleados.

Este estudio proporciona evidencia empírica sobre los efectos positivos de las dimensiones sociales y ambientales de la RSC en el EE en un contexto de teletrabajo, ofreciendo valiosas ideas para las organizaciones que navegan el paisaje post-pandémico. Además, estrategias específicas de RSC pueden establecer una ventaja competitiva al fomentar una fuerza laboral remota motivada y comprometida.

In today’s business landscape, drawing upon the critical role of environmental sustainability, this study investigates the intricate relationship between green human resource management practices (GHRMP), big data analytics capability (BDAC), green competitive advantage (GCA) and environmental performance (EP), further moderated by managerial environmental concern (MEC).

This study employs a quantitative approach using the latest version of SmartPLS 4 version 4.0.9.6 on a data sample of 467 participants representing a diverse range of manufacturing SMEs. Data were collected from managers and directors using a structured questionnaire and analyzed using structural equation modeling (SEM). This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a comprehensive understanding of how these practices enhance SME`s sustainability.

The findings provide valuable insights into the manufacturing sector, aiming to enhance SMEs' green competitive advantage. Implementing GHRMP fosters environmental awareness within the workforce, and building BDAC allows for effectively translating that GHRMP into actionable insights, maximizing the potential for achieving GCA. Furthermore, recognizing MEC’s moderating role strengthens positive environmental outcomes associated with GCA. The findings confirm that GHRMP and BDAC are valuable resources and key drivers contributing to competitive advantage in sustainability of enterprises.

For SMEs, our findings suggest that strategically integrating GHRMP with BDAC not only boosts environmental stewardship but also improves operational efficiency and market positioning. This research outlines actionable steps for SMEs aiming to achieve sustainability targets while enhancing profitability. This research provides actionable insights for SMEs in strategic decision-making and policy formulation, aiding SMEs in navigating the complexities of sustainable development effectively.

This study contributes to the existing knowledge by integrating GHRMP and BDAC within the GCA framework, providing a robust theoretical explanation of how HRM practices and BDAC help SMEs gain green competitiveness. The implication of this study reveals that SMEs implementing and integrating green HRM practices with advanced data analytics are more likely to gain competitive advantage. This study draws theoretical support from the resource-based view (RBV) theory, positing that a firm’s sustainable competitive advantage stems from its unique and valuable resources and capabilities that are difficult for competitors to imitate or substitute.

Based on social exchange theory and self-determination theory, this study explores the influence mechanism of empowering leadership on employees’ creative deviance and innovation performance.

The data were collected from 312 employees on Internet and other high-tech corporation in China. Hierarchical linear regression models and bootstrapping analysis outlined by Hayes were used to test the hypotheses.

Empowering leadership is positively correlated with employees’ innovation performance (EIP), and employees’ creative deviance plays an intermediary role in the above relationship. Power distance positively moderates the relationship between empowering leadership and employees’ creative deviance. Time pressure moderates the moderating effect of power distance on empowering leadership and employees’ creative deviance.

This study advances the empowering leadership and employees’ innovation performance by establishing creative deviance as the mediator. This study is also helpful to clarify the role of time press and power distance as boundary condition in the relationship between empowering leadership and employees’ creative deviance, which have certain reference significance for organization practices.

The mental healthcare is experiencing an ever-growing surge in understanding the consumer (e.g., patient) engagement paradox, aiming to vouch for the quality of care. Despite this surge, scant attention has been given in academia to conceptualize and empirically investigate this particular aspect. Thus, drawing on the Stimulus-Organism-Response (S-O-R) paradigm, the study explores how patients engage with healthcare service providers and how they perceive the quality of the healthcare services.

Data were collected from 279 respondents, and the derived conceptual model was tested by using Smart PLS 3.2.7 and PROCESS. To complement the findings of partial least squares (PLS)-based structural equation modeling (SEM), the present study also applied fuzzy set qualitative comparative analysis (fsQCA) to identify the necessary and sufficient conditions to explore substitute conjunctive paths that emerge.

Findings show that patients’ perceived intimacy (PI), cohesion and privacy enhance the quality of mental healthcare service providers. The results also suggest that patients’ PI, cohesion and privacy have indirect effects on the perceived quality of care (PQC) by the service providers through consumer engagement. The fsQCA results derive that the relationship among conditions leading to patients’ perception of the quality of care in regard to mental healthcare service providers is complex and is best reflected as multiple and conjectural causation configurations.

The findings from this research contribute to the advancement of studies on patients’ experiences by empirically examining the unique dynamics of interaction between consumers (patients) and mental healthcare service providers, thereby enriching both the literature on social interactions and the understanding of the consumer–provider relationship.

The results of this study provide practical implications for mental healthcare service providers on how to combine the study variables to enhance the quality of care and satisfy more patients.

A significant research gap has ascertained the inter-relationship between PI, cohesion, privacy, engagement and PQC from the perspective of mental healthcare service providers. This research is one of the primary studies from a managerial and methodological standpoint. The study contributes by combining symmetric and asymmetric statistical tools in service marketing and healthcare research. Furthermore, the application of fsQCA helps to understand the interactions that might not be immediately obvious through traditional symmetric methods.