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Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

Market evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There exist a lot of weak expert-generated texts on the Internet of their own subjective evaluations of products. Analyzing these texts can indirectly extract the opinions of weak experts and transform them into decision-support information that assists product designers in understanding the market.

In social networks, a subset of users, termed “weak experts”, possess specialized knowledge and frequently share their product experiences online. This study introduces a comparative opinion mining framework that leverages the insights of “weak experts” to analyze user opinions.

An automotive product case study demonstrates that evaluations based on weak expert insights offer managerial insights with a 99.4% improvement in timeliness over traditional expert analyses. Furthermore, in the few-shot sentiment analysis module, with only 10% of the sample, the precision loss is just 1.59%. In addition, the quantitative module of specialization weighting balances low-specialization expert opinions and boosts the weight of high-specialization weak expert views. This new framework offers a valuable tool for companies in product innovation and market strategy development.

This study introduces a novel approach to opinion mining by focusing on the underutilized insights of weak experts. It combines few-shot sentiment analysis with specialization weighting and AHP, offering a comprehensive and efficient tool for product evaluation and market analysis.

This study aims to explore how coworkers leverage epistemic objects and guanxi (a Chinese term defining relationships based on mutual dependence) network to promote knowledge integration of “who knows what” in the development of sustainable innovation.

This study used a mixed-methods research approach, including quantitative questionnaires, social network analyses and a qualitative ethnography, all of which were collected from a large enterprise in China.

Epistemic objects can promote knowledge integration of “who knows what” among coworkers during their innovation development process. In addition, structural holes in a coworker network will impede knowledge integration of “who knows what,” but guanxi can turn this impeding effect into a facilitating effect.

First, the focus on the role of epistemic objects in eliciting knowledge generates implications for creating employee identity and coordinating knowledge heterogeneity. Second, by demonstrating how epistemic objects trigger both affective and cognitive trust to promote knowledge integration of “who knows what,” the authors complement existing studies of knowledge management (KM). Third, by presenting how coworkers fill their structural holes in their collaborative innovation, the study reveals the nature of connecting the appropriate resources with the appropriate needs, which generates implications for social capital integration and innovation enhancement. Fourth, by showing how “structural hole controllers” become “structural hole fillers” under different conditions, the authors recognize the different ways in which brokers leverage their structural holes and highlight the unique role of Chinese guanxi culture in triggering a structural hole filling behavior, thereby contributing to the literature of structural hole theory and culture management. Fifth, by creating a full picture of how coworkers strategically leverage their knowledge of “who knows what” in the development of sustainable innovation, the authors identify the influential factor that stimulates innovation, adding to the literature on the interaction between KM and innovation. Sixth, the emphasis on the independent role of epistemic objects produces an implication for the interplay between object-control and human-control in innovation work.

This study supports organizational leaders to make optimal decisions in their innovation development process by suggesting them to invest in developing an integrated knowledge of “who knows what.” To achieve it, the authors suggest managers make good use of non-human artifacts to gain the identification with the knowledge of not only themselves but also the whole team, and award the “integrator” an honor for filling structural holes that may trigger the creation of more structural hole fillers. Furthermore, the focus on the independent role of epistemic objects as knowledge elicitors and trust triggers in innovation work generates another practical implication for managers to rethink the controlling role of objects and humans in the organization and modify their managerial practices accordingly.

By exploring how coworkers leverage epistemic objects and guanxi network to promote knowledge integration of “who knows what” in the development of sustainable innovation, this study reveals the role of object-control and human-control in facilitating knowledge practices for stimulating innovation, thereby contributing to the literature of KM and innovation.

Research on the impact of the engagement of online medical teams (OMTs) on patient evaluation, for example, satisfaction, remains insufficient. This study attempts to recognize the underlying mechanism of how OMTs’ engagement influences patient satisfaction by adopting social support as the mediator. This study also scrutinizes the moderating effects of the transactive memory system (TMS) on the link between OMTs’ engagement and social support.

We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5,000 samples was employed to test the mediation effect.

Our results reveal that OMTs’ engagement improves informational and emotional support, thereby promoting patient satisfaction. Specialization and credibility strengthen the impact of OMTs’ engagement on informational and emotional support. Simultaneously, coordination has an insignificant influence on the link between OMTs’ engagement and social support.

This study contributes to the literature on OMTs, social support, and TMS, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of online health communities and OMTs.

This paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process.

The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry.

The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness.

This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.

Effective use of data across public health organisations (PHOs) is essential for the provision of health services. While health technology and data use in clinical practice have been investigated, interactions with data in non-clinical practice have been largely neglected. The purpose of this paper is to consider what constitutes data, and how people in non-clinical roles in a PHO interact with data in their practice.

This mixed methods study involved a qualitative exploration of how employees of a large PHO interact with data in their non-clinical work roles. A quantitative survey was administered to complement insights gained through qualitative investigation.

Organisational boundaries emerged as a defining issue in interactions with data. The results explain how data work happens through observing, spanning and shifting of boundaries. The paper identifies five key issues that shape data work in relation to boundaries. Boundary objects and processes are considered, as well as the roles of boundary spanners and shifters.

The study was conducted in a large Australian PHO, which is not completely representative of the unique contexts of similar organisations. The study has implications for research in information and organisational studies, opening fields of inquiry for further investigation.

Effective systems-wide data use can improve health service efficiencies and outcomes. There are also implications for the provision of services by other health and public sectors.

The study contributes to closing a significant research gap in understanding interactions with data in the workplace, particularly in non-clinical roles in health. Research analysis connects concepts of knowledge boundaries, boundary spanning and boundary objects with insights into information behaviours in the health workplace. Boundary processes emerge as an important concept to understand interactions with data. The result is a novel typology of interactions with data in relation to organisational boundaries.

This study aims to explore how the absorptive capacity of emerging market multinationals (EMNEs) facilitates increased acquirer performance in industry exploration and technology exploration cross-border acquisitions (CBAs).

The research context for this study is Brazilian EMNEs and their CBAs. The final database contains 101 CBAs.

The authors find that industry exploration strategies negatively affect financial performance, but technology exploration strategies have a positive effect. The acquirer’s absorptive capacity can exacerbate the negative effects, except in instances of technology exploration strategies, where there is a demonstrable benefit from the acquirer’s absorptive capacity.

The study contributes first by providing a more nuanced understanding of the effects of absorptive capacity on postacquisition performance, depending on the type of knowledge explored. Second, by drawing on EMNE learning perspectives, the authors demonstrate the versatility of absorptive capacity in emerging markets.

Higher education institutions like Effat University play a critical role in realizing the ambitious goals of Saudi Arabia’s Vision 2030, which emphasizes adaptability, agility, and sustainability in the educational sector. With the higher education landscape undergoing rapid transformation globally, institutions are compelled to rethink curricula and align more closely with the changing needs of students, industry, and the government. Effat University, situated at the confluence of Saudi Arabia’s Vision 2030 and the global Sustainable Development Goals (SDGs), shows adaptability, agility, and sustainability in the higher education sector. At the heart of Effat’s mission lies the IQRA core values, anchoring its academic and administrative endeavors and fostering graduates who are holistic, ethically grounded, and attuned to global challenges. This book chapter investigates Effat University’s distinctive approach, fortified by innovative initiatives, transformative leadership, expansive research activities, and the unwavering IQRA principles, as it positions itself to further the goals of Vision 2030 and the SDGs. Effat’s research, diverse in its scope and impact, ranges from cutting-edge technological advancements to interdisciplinary collaborations that address both local and global challenges.

Using a mixed-method approach and drawing from internal data and insights from the university’s archives the chapter underscores Effat University’s commitment to innovation, interdisciplinary education, research excellence, international collaborations, and sustainable practices, all harmonized by the guiding IQRA values. These concerted efforts resonate deeply with Vision 2030 and the SDGs, setting the stage for sustained academic excellence and solid foundation for future academic and societal progress.

This study investigates the impact of large-scale teaching in higher education on students’ preparedness for the workforce within the context of evolving labour market demands, the expansion of higher education and the application of high-impact teaching strategies. It synthesizes perspectives on employer work readiness, the challenges and opportunities of large-scale teaching and strategies for fostering a dynamic academia-industry feedback loop. This multifaceted approach ensures the relevance of curricula and graduates’ preparedness while addressing the skills gap through practical recommendations for aligning teaching methodologies with employer expectations.

The research methodically examines the multifaceted challenges and opportunities inherent in large-scale teaching. It focuses on sustaining student engagement, maintaining educational quality, personalizing learning experiences and cultivating essential soft skills in extensive student cohorts.

This study highlights the critical role of transversal skills in work readiness. It also uncovers that despite its challenges, large-scale teaching presents unique opportunities. The diversity of large student groups mirrors modern workplace complexities, and technological tools aid in personalizing learning experiences. Approaches like peer networking, innovative teaching methods, real-world simulations and collaborative resource utilization enrich education. The importance of experiential learning for augmenting large-scale teaching in honing soft skills is emphasized.

This manuscript contributes to the discourse on large-scale teaching, aligning it with employer expectations and the dynamic requirements of the job market. It offers a nuanced perspective on the challenges and opportunities this educational approach presents, providing insights for crafting engaging and effective learning experiences in large cohorts. The study uniquely integrates experiential learning, co-creation in education and industry-academia feedback loops, underscoring their importance in enhancing student work readiness in large-scale teaching.

This study aims to understand the perception of young people regarding different communication strategies to promote proenvironmental disposal behavior. Based on the attention-interest-desire-action (AIDA) model, the study analyses how university students react to different communication approaches used by a university aiming at the correct disposal of waste.

The authors conducted a qualitative exploratory research in two steps: (i) a narrative bibliographic review and (ii) a case study. The (i) bibliographic review was conducted about proenvironmental behavior and disposal of solid waste and response hierarchy models, with emphasis on the AIDA model. The (ii) case study was executed through an in-depth interview with a manager of the environmental sanitation area and a qualitative survey with undergraduate students from a university in southern Brazil.

The findings reveal that young people tend to prefer communication strategies related to triggers for long-term memory, especially when evaluating the cognitive stage of the response hierarchy. For example, the provision of bins identified with stickers and colors is a communication strategy that leads to a memory model of associative networks. By viewing a certain color or image of an object, the individual can quickly retrieve information already known about the act of properly disposing of waste. Additionally, convenience is a key factor for the behavioral intention of properly disposing of waste to become a reality.

Few studies have identified the most effective communication strategies to promote proper disposal behavior among young people in universities. This study addresses this gap, based on the AIDA model.