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This strategic commentary aims to examine the benefits and drawbacks of rigid frameworks versus flexible approaches to measuring employee engagement, arguing for a hybrid model that incorporates the best of both to better correspond with organisational subtleties and strategic goals.

This study compares the standardised, benchmarking capabilities of inflexible frameworks such as Gallup’s Q12 to the adaptability and customisation potential of flexible approaches. It emphasises the creation and implementation of a hybrid methodology that preserves the integrity of engagement measurement while also incorporating organisational-specific insights.

Despite their different benefits, rigid frameworks may neglect distinct organisational cultures, whereas completely flexible techniques may suffer with measuring consistency. A hybrid model, which combines core standardised questions and unique items, provides a balanced solution for improving the relevance, actionability and reliability of engagement data across dynamic organisational landscapes.

The discussion culminates with the proposal of a hybrid measurement strategy as a strategic innovation in human resource management. By combining scientific rigour and contextual sensitivity, this model provides a nuanced roadmap for organisations looking to thoroughly understand and effectively negotiate the complexity of employee engagement in an evolving work environment.

The purpose of this paper is to explore the factors influencing office occupancy and the broader implications for workplace dynamics in Australia in the post-pandemic era.

The authors draw on industry insights, research data and expert opinions on remote work and office attendance to explain post-pandemic trends.

The paper finds that average office occupancy reached 71% of pre-pandemic levels in Q3 2023, indicating a significant rebound from earlier downturns. This can be explained by factors such as improved vaccination rates, clearer return-to-office policies by large corporations and a greater understanding of the virus.

This paper offers valuable insights on the implications of physical, hybrid and remote work highlighting the growing recognition of the importance of physical workspace in fostering collaboration, innovation and organisational culture. It also brings together evidence of the impact of flexible options that may support greater social and environmental sustainability.

Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance.

In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis.

Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to AI-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation.

The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals.

Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs’ CE performance.

This study aims to examine the multifaceted connection between perceived socially responsible human resource management (PSR-HRM), job insecurity (JI), psychological availability (PA) and employee voice behavior (VB). Furthermore, it delves into the mediating roles of PA, and JI in the linkage between PSR-HRM and VB and the moderating role of PA in the connection between JI and VB.

The empirical data for this study were collected from a sample of 385 full-time employees in Vietnam. To analyze the data and explore the relationships among the constructs, partial least squares structural equation modeling (PLS-SEM) was used.

The study reveals positive relationships between PSR-HRM, PA and VB. Furthermore, it demonstrates that PA serves as a partial mediator in the nexus between PSR-HRM and VB, while JI similarly partially mediates this association. In addition, the research identifies a positive moderating effect of PA on the linkage between JI and VB.

Grounded in social exchange theory and social cognitive theory, this study uncovers significant relationships, providing nuanced insights into the intricate interplay among PSR-HRM, JI, PA and VB. It represents one of the initial investigations into the moderating influence of PA on the connection between JI and VB.

This study aims to explore the drivers (i.e. service innovation, service exchange, customer wellbeing and employee wellbeing) and organizational culture in the service ecosystem in the hospitality sector.

This study adopted a quantitative approach by collecting data from employees and customers of the top 10 hotels (identified from three major websites, i.e. Goibibo, Trivago and MakeMyTrip) functional in Jammu city, North India. Exploratory factor analysis, confirmatory factor analysis and partial least square analysis are used to analyse the data.

The study findings reveal that among the four drivers (i.e., service innovation, service exchange, employee wellbeing and customer wellbeing) customer wellbeing shows a strong impact and significant impact on the service ecosystem. Following this, the study also exhibits that organizational culture significantly moderates the relationship between service innovation and the service ecosystem. However, it does not show any moderating influence among the other drivers of the service ecosystem.

This study is conducted only in the top 10 hotels (three and four stars) of Jammu city, North India, which might not represent all Indian hotels.

The study contributes by establishing the role of four service ecosystem drivers, namely service innovation, service exchange, employee wellbeing and customer wellbeing. Following this, the study empirically tested and validated the service ecosystem framework in the context of north Indian hotels. The study also establishes the significant role of organizational culture, particularly group culture and hierarchy culture, in strengthening the service ecosystem.

This study aims to conduct a geographical analysis of the distribution and type of activities developed by social enterprises in rural and urban areas of Ireland.

The study analyses data of more than 4,000 social enterprises against a six-tier rural/urban typology, using descriptive statistics and non-parametric tests to test six hypotheses.

The study shows a geographical rural–urban pattern in the distribution of social enterprises in Ireland, with a positive association between the remoteness of an area and the ratio of social enterprises, and a lack of capital-city effect related to the density of social enterprises. The analysis also shows a statistically significant geographical rural–urban pattern for the types of activities developed by social enterprises. The authors observe a positive association between the remoteness of the areas and the presence of social enterprises operating in the community and local development sector whereas the association is not significant for social enterprises developing welfare services.

The paper shows the potential of using recently developed rural–urban typologies and tools such as geographical information systems for conducting geographical research on social enterprises. The findings also have implications for informing spatially sensitive policymaking on social enterprises.

The merging of a large national data set of social enterprises with geographical tools and data at subregional level contributes to the methodological advancement of the field of social enterprises, providing tools and frameworks for a nuanced and spatially sensitive analysis of these organisations.

This study aims to understand the impact of student entrepreneurship and university support on faculty intrapreneurship. The authors also analyze the role of the university’s dynamic and ordinary capabilities and the environmental dynamism in which the university is embedded.

With a large survey data set involving 680 professors and 2,230 students from 70 Brazilian universities, the authors use a multimethod approach with partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

The PLS-SEM results demonstrate that student entrepreneurship indirectly influences faculty intrapreneurship through the interaction of students with faculty and entrepreneurs, in addition to proving the intense influence of university support on faculty intrapreneurship, especially in a slow-growth environment. Additionally, the authors confirmed the moderating effect of universities’ dynamic and ordinary capabilities on student interaction and university support, respectively, and some exciting differences considering the ecosystem dynamism. The fsQCA results deepened the differences between environments, presenting different configurations between the antecedents that lead to high levels of faculty intrapreneurship in fast and slow-growth environments.

The study makes a unique and significant contribution to the literature on faculty intrapreneurship by examining the cross-interactions between individual, organizational and environmental levels about the promotion of faculty intrapreneurship. From a practical point of view, it is possible to identify more effective, innovative and systematic ways to encourage faculty intrapreneurship in a developing country. The findings help open up the black box of faculty intrapreneurship.

The integration of industry 4.0 has become a priority for many organizations. However, not all organizations are suitable and capable of implementing industry 4.0 because it requires a dynamic and flexible implementation strategy. The implementation of industry 4.0 often involves overcoming several tensions between internal and external stakeholders. This paper aims to explore the paradoxical tensions that arise for health-care organizations when integrating industry 4.0. Moreover, it discusses how a paradox lens can support the conceptualization and proposes techniques for handling tensions during the integration of industry 4.0.

This qualitative and in-depth study draws upon 32 semi-structured interviews. The empirical case concerns how two health-care organizations handle paradoxical tensions during the integration of industry 4.0.

The exploration resulted in six recurring technology tensions: technology invention (modularized design vs. flexible design), technology collaboration (automation vs. human augmentation), technology-driven patient experience (control vs. autonomy), technology uncertainty (short-term experimentation vs. long-term planning), technology invention and diffusion through collaborative efforts among stakeholders (selective vs. intensive collaboration) and technological innovation (market maintenance vs. disruption).

A paradox theory-informed conceptual model is proposed for how to handle tensions during the integration of industry 4.0. To the best of the authors’ knowledge, this is the first paper to introduce paradox theory for quality management, including lean and Six Sigma.

This study focusses on the intersection of social sustainability and human resource management (HRM) as a strategy for crisis management. It aims to provide detailed insight by exploring the associations between socially sustainable HRM (SSHRM), employee well-being, trust in social capital and employee resilience.

This study used a cross-sectional research design to test relationships amongst variables. Data was gathered from employees in India’s private-sector information technology (IT) industry, making the framework relevant to this specific context. The study employed the partial least squares structural equation modelling (PLS-SEM) to analyse complex relationships between the variables.

The results indicate that organisations can boost employee resilience through SSHRM implementation, promote personal well-being (PWB) and family well-being (FWB) and foster trust in social capital. Additionally, the study highlights the moderating impact of employee empowerment, improving the translation of positive employee behaviour in organisational settings.

Our research emphasises the importance of sustainability efforts and strategies focused on social capital to build long-lasting employee connections. This highlights the necessity of incorporating social sustainability objectives into the organisation’s strategic blueprint, ensuring integration into decision-making procedures.

This study uniquely explores the underlying mechanisms through which SSHRM influences employee resilience. An in-depth empirical analysis evinces the causal mechanism between SSHRM, employee well-being, social capital trust and employee resilience.

Through the lens of resource-based view (RBV), knowledge-based view (KBV) and DCV, this paper aims to investigate the relationship of entrepreneurial leadership (EL) on the project success (PS) and further examines the mediating effect of knowledge infrastructure capability (KIC), knowledge-based dynamic capability (KBDC) and Big data analytic capability (BDAC).

The data were collected from 467 employees working on project in software companies. The data were evaluated using SMART-PLS, a structural equation modeling (SEM) tool.

The study revealed a significant impact of EL on the PS, the study also found the significant mediation role of KIC, KBDC and BDAC on the EL and PS relationship.

The research gives valuable insight into the effective role of EL as a contemporary leadership style in project-based firms. Also, this research is one of the first to examine knowledge-oriented dynamic capabilities (DC) as a knowledge fulcrum in project execution. These DC have been empirically proven to facilitate EL in achieving PS and support the firm in competing in an uncertain environment.