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This study aims to examine how an organization’s innovation capability could influence research and development (R&D) performance. It also investigates if industry–academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

The study found that industry–academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations’ R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

This study aims to investigate the influence of knowledge application, government policy and green market orientation (GMO) on organizational sustainable performance in Vietnam, with a particular focus on the mediating role of green innovation in these relationships.

Data were collected from 253 Vietnamese organizations using purposive random sampling and manager-administered questionnaires. The analysis was conducted using partial least squares structural equation modeling.

The findings underscore the critical role of government policy in facilitating green innovation and enhancing the sustainable performance of organizations. While knowledge application and GMO are important drivers of green innovation, their direct impact on sustainable performance is not significant. Furthermore, the study confirms the mediating role of green innovation in bridging these relationships.

The study offers critical insights for policymakers and organizational leaders in emerging markets like Vietnam, demonstrating that strategic investments in knowledge application, green innovation and alignment with GMO and government policies can substantially enhance sustainable performance.

This research extends the resource-based view and institutional theory by identifying key determinants of sustainable organizational performance. It underscores the pivotal role of knowledge application, GMO and government policy in promoting sustainable performance through the facilitation of green innovation.

This research paper explores how grassroots innovation initiatives address and resolve the challenges of translating broad and inviting values such as sustainability, inclusiveness and aesthetics into practical and actionable structures. This study examines the tensions and difficulties projects face in operationalizing these values, revealing the gap between idealistic goals and real-world implementation. Moreover, this paper analyzes how role expectations and the concept of invitation ambiguity affect top down and bottom up approaches, offering insights for improving mechanisms to support grassroots innovations.

This study uses an exploratory qualitative methodology with an embedded case study design, focusing on the New European Bauhaus (NEB) and its award-winning projects. Data were collected through online self-assessment surveys, secondary data analysis, and semi-structured interviews with project owners and NEB Unit representatives.

The findings reveal significant challenges in translating broad and inviting values (sustainability, inclusion and aesthetics) into actionable outcomes for grassroots projects. Key issues include the need for clearer role definitions, tailored support, and adaptability. Conflicts between those values and a mismatch between expectations about stakeholders’ contributions highlight the need for designing more flexible and robust frameworks and robust frameworks.

This research explores the effects of invitational ambiguity within grassroots innovation, revealing how broad values ‐ like sustainability, inclusion and aesthetics ‐ are operationalized in real-world settings. By applying collective action theoretical frameworks to the unique case study of NEB projects, this study provides fresh insights into the dynamics between top-down European policies and bottom-up grassroots practices.

This study aims to examine the impact of organizational culture of medical institutions on employee motivation and professional burnout, with occupation (i.e. doctor, nurse and administration employee) being a moderator.

A quantitative method (survey) was used for this study in Lithuania (EU), with a sum of 235 fulfilled questionnaires being obtained online. IBM SPSS software was used for statistical analysis and testing hypotheses.

The research results reveal that organizational culture is significantly related to both employee motivation and professional burnout in Lithuanian medical institutions. Moreover, theoretical and executive implications highlight the requisite role of and manner in which organizational culture and employee motivation can reduce employee turnover, retain talent, limit employee burnout and overall strengthen the design and implementation of long-term human resource management planning.

This research delineates, explicates and directs crucial aspects of medical institutions’ effective functioning, a concern of even the most developed nations, as health sector performance, individually, organizationally and collectively, is a natural principal factor of social well-being and health.

Further and unique to the extant research, the authors analyzed specific organizational interactions, which revealed different statistical relationships between organizational culture and doctors’, nurses’ and administration employees’ overload, lack of development and neglect. The authors, thus, identified that organizational culture does not have a statistically significant impact on neglect of doctors, nurses and administration employees; however, it does significantly influence overload and lack of development in all respondents’ groups.

Artificial intelligence (AI) services are vital in enhancing customer experience and purchase intentions in the international online fashion retail sector. This study explores customers’ intentions to use AI-enabled services, focusing on transaction utility, trust and product uniqueness across the customer journey in the context of international online fashion stores. This study also assesses how privacy moderates customer intentions.

This study adopted a longitudinal research design and purposive sampling technique to collect a total of 566 participants. The final data were analyzed using IBM SPSS Amos version 21 software.

The study highlights the significance of transaction utility, trust and product uniqueness in AI integration across the customer journey (pre-purchase, during purchase and post-purchase stages). Most of the direct relationships are significant, except the relationship between the during purchase and post-purchase stages. With a few exceptions, AI integration commonly does not mediate the relationship between antecedents and intention to use AI-enabled services. Privacy moderates AI integration in post-purchase, during purchase and intention to use AI-enabled services, except in the pre-purchase stage.

This study bridges important gaps in the literature by integrating AI-enabled services and customer behavior, contributing to a broader knowledge of customer interactions in global e-commerce fashion stores. The study examines multiple attributes that impact intention, such as transaction utility, trust, product uniqueness, AI integration in three stages of purchases (pre-purchase, during purchase and post-purchase) and privacy, using three major theories: mental accounting theory, trust commitment theory and commodity theory.