The economic significance of open research data is widely acknowledged, yet its quantification remains challenging. This paper presents an effective valuation instrument to help stakeholders understand and evaluate the economic benefits of open research data. By conducting a scoping review and prioritizing user engagement, this study introduces a…

Bootleg innovation is a common phenomenon in Chinese universities. However, little is known about its influencing factors and mechanisms. Based on the trait activation theory, the current study proposes and tests a moderated mediation model by conducting an online survey of 1,038 university teachers at four undergraduate universities using…

University-industry collaboration (UIC) has emerged as a focal point in the contemporary global higher education landscape. Nevertheless, the underlying objectives for endorsing UIC often vary across national contexts despite a consensus on its collective benefits. This study endeavors to juxtapose the social imaginary surrounding UIC within three…

Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…

The need for collaboration between researchers and practitioners to address the research-practice gap is a long-debated topic in applied linguistics. Little is known, however, about how researchers and practitioners can collaboratively develop teaching materials, as a potential venue to narrow the gap. This study explored how two groups of…

International research collaboration is a way to facilitate original knowledge production, share research equipment, promote learning together and talent pooling at a cross-border level. However, it takes place in a hierarchical and unequal global research space. Conditioned by various structural factors, researchers actively exercise their agency…

Background: There are various challenges to teachers' use of generative artificial intelligence (GenAI) for professional learning. Although GenAI is expected to play a transformative role in teachers' learning, its impact on them remains subtle. Objectives: Guided by community of practice, this paper examines the integration of GenAI into an…