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Doctor–medical institution collaboration (DMIC) services are an emerging service mode in focal online health communities (OHCs). This new service mode is anticipated to affect user satisfaction and doctors' engagement behaviors. However, whether and how DMIC occurs is still ambiguous because the topic is rarely examined. To bridge this gap, this study explores doctors' participation in DMIC services and its effects on their online performance, as well as its effect on patients' evaluation of them on OHC platforms.

The authors propose hypotheses based on structural holes theory. A unique dataset obtained from one of the most popular OHCs in China is used to test the hypotheses, and difference-in-differences estimation is adopted to test the causality of the relationship.

The results demonstrate that providing DMIC services improves doctors' online consultation performance and patients' evaluations of them but has no significant effect on doctors' knowledge-sharing performance on OHC platforms. Doctors' knowledge-sharing performance and consultation performance mediate the relationship between participation in DMIC services and patients' evaluation of doctors. Regarding doctors' participation in DMIC services, its impact on doctors' consultation performance and patients' evaluation of them is weaker for doctors with higher professional titles than for doctors with lower professional titles.

The findings clarify the value creation mechanisms of online collaboration between doctors and medical institutions and thereafter facilitate doctors' participation in DMIC services and enhance the sustainable development of OHCs.

The existing literature on business incubators has rarely addressed network establishments thus far. The purpose of this study is to shed light on the process of network formation and its structure during the incubator creation process. The study focuses on establishing a network involving three key types of partners in the initial phase of setting up four agribusiness incubators. These partners come from universities, research organisations and private companies operating in a developing context.

This study uses social network theory, using a combination of qualitative and network survey approaches in Kenya, Uganda and Zambia. The qualitative data were used to investigate partnership formation, while the network survey was conducted to map the organisational network of business incubator partners. Constructs of social network theory, including relational content, relational form, centrality of actors and instrumentality, were qualitatively measured in this study.

The findings indicate that partners rely on previous informal relationships, which are formalised during the creation of business incubator partnerships. In the African context, once these relationships are formalised, they become part of what is referred to as business networks, irrespective of the nature of the relationship content. Personal networks serve as precursors to establishing organisational networks that cater to incubated firms. Incubator partners facilitate the networking process and enhance the formation of new connections in the early-stage partnership-based tripartite business incubators. They act as brokers, bridging structural holes by coordinating actors across the hole and linking disconnected nodes by activating their sub-networks. The results reveal that the partners' level of embeddedness in various organisational settings increases the diversity of contacts integrated into the incubator networks. In terms of relational content, partners tend to perceive the ties as business-oriented, even though the content of the relationship may differ. The strength of relationships depends on their formalization and the frequency of interaction.

The findings of the study contradict the reviewed social network literature, emphasising the necessity to adapt methodological approaches based on the cultural and institutional context in which they are applied. The social network questionnaire requires modification when used in different contexts and settings. Specifically, methodologies should be adjusted in situations where actors need to be discreet concerning their various relationships. It is important to note that organisational culture does influence actors' behaviours.

This study is deemed relevant to managers and practitioners of business incubators alike. It highlights that understanding the contextual factors that influence networking practices, the type and strength of networks and the resources provided to participants are crucial elements that should be considered in future policy and intervention initiatives.

This paper addresses the identified gap in examining network formation during the establishment of business incubators. The research is significant as it provides insights into networking at the incubator level of analysis within a tripartite business incubator setup. Ultimately, this paper helps increase our understanding of networking within the context of emerging countries.

This study aims to propose a combined effect framework to explore the relationship between research and development (R&D) team networks, knowledge diversity and breakthrough technological innovation. In contrast to conventional linear net effects, the article explores three possible types of team configuration within enterprises and their breakthrough innovation-driving mechanisms based on machine learning methods.

Based on the patent application data of 2,337 Chinese companies in the biopharmaceutical manufacturing industry to construct the R&D team network, the study uses the K-Means method to explore the configuration types of R&D teams with the principle of greatest intergroup differences. Further, a decision tree model (DT) is utilized to excavate the conditional combined relationships between diverse team network configuration factors, knowledge diversity and breakthrough innovation. The network driving mechanism of corporate breakthrough innovation is analyzed from the perspective of team configurations.

It has been discerned that in the biopharmaceutical manufacturing industry, there exist three main types of enterprise R&D team configurations: tight collaboration, knowledge expansion and scale orientation, which reflect the three resource investment preferences of enterprises in technological innovation, network relationships, knowledge resources and human capital. The results highlight both the crowding-out effects and complementary effects between knowledge diversity and team network characteristics in tight collaborative teams. Low knowledge diversity and high team structure holes (SHs) are found to be the optimal team configuration conditions for breakthrough innovation in knowledge-expanding and scale-oriented teams.

Previous studies have mainly focused on the relationship between the external collaboration network and corporate innovation. Moreover, traditional regression methods mainly describe the linear net effects between variables, neglecting that technological breakthroughs are a comprehensive concept that requires the combined action of multiple factors. To address the gap, this article proposes a combination effect framework between R&D teams and enterprise breakthrough innovation, further improving social network theory and expanding the applicability of data mining methods in the field of innovation management.

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

The authors used a pooled panel dataset of 12,111 self-organizing innovation groups in 463 game product creative workshop communities from Steam support to test the hypothesis. The pooled ordinary least squares (OLS) model is used for analyzing the data.

The results show that network constraint is negatively associated with the innovation performance of online groups. The average path length of the inter-community group network negatively moderates the relationship between network constraint and group innovation, while the average path length of the intra-community group network positively moderates the relationship between network constraint and group innovation. In addition, both the network density of inter-community group networks and intra-community group networks can negatively moderate the negative relationship between network constraint and group innovation.

The findings of this study suggest that network structural characteristics of inter-community networks and intra-community networks have different effects on online groups’ product innovation, and therefore, group members should consider their inter- and intra-community connections when choosing other groups to form a collaborative innovation relationship.

Rare book collections are special, not only in terms of their physical appearance but also because of their historical significance and the information they contain. The purpose of this study is twofold: to identify the physical condition of rare book collections and to determine the main causes of damage to rare books collection that belongs to a museum library in Indonesia.

This research involved conducting a survey of the physical condition of the collection of rare books owned by a museum library in Indonesia. Supporting data was also obtained through interviews with one of the staff who served as the museum collection conservator. This study used random sampling to take samples from the collection, which consisted of 950 rare books, with total sample of 91.

The results obtained state that the condition of the existing rare book collection is classified as severely damaged. One of the causes of damage that can be addressed immediately is the cleaning regime: the collection and library space should be cleaned thoroughly and regularly so that dust and dirt in and around the rare book collection can be reduced.

This research was limited to physical identification, which can be done easily because it does not require various kinds of laboratory tests. It was a case study examining a single collection in a single museum library. The pool of books from which the samples were taken was therefore relatively homogenous. Therefore, it is hoped that further research can identify other factors and types of damage in more detail so that all damage to rare book collections can be identified and mitigated.

Research discussing the condition of rare book collections, especially for special libraries in museums in Indonesia, is still very limited. Detailed surveys of the physical condition of collections, especially rare book collections in museums, have rarely been discussed by previous research. The work will contribute to assessing the physical condition of rare book collections.

This study was conducted with the main purpose of recording primary data related to environmental factors, which has become the main criteria in the selection of the Sungai Batu Archaeological Complex (SBAC) as the center of the iron smelting industry and trade in ancient Kedah.

To fulfill this purpose, field studies involving drone photogrammetry mapping, augering, core drilling and geophysical mapping methods were carried out.

The results obtained through the application of the method have shown that SBAC has a good environment, which has a wide and deep river flow, the existence of Mount Jerai and the abundance of iron ores, mangrove Merbok and clay.

Resources did not allow for environment studies of the by-products tourism sites as part of the current study.

The study also included a survey and mapping to obtain potential primary data around SBAC in the process of developing it as the center of the world iron industry.

One finding is that attention to heritage policy and protection must be ongoing at all levels of government and the local community to ensure that the survey and mapping data carried out can be developed as a sustainable heritage tourism product.

This study reveals primary data related to the suitability of paleoenvironment in the SBAC development process as a world iron smelting industry area.

Early childhood and early elementary are key times when children develop internal and external antifat attitudes; thus, it is necessary to better understand the available children’s literature around fatness.This paper aims to examine children's picture books with fat protagonists to better understand the current landscape of children's literature. Drawing on relevant literature around fat characters and the fat studies movement, this critical content analysis considers five children’s books featuring fat protagonists.

This study uses critical content analysis to analyze texts featuring fat protagonists, including two rounds of initial reading and analysis. Using lenses of critical literacy and critical multicultural analysis, the author looks for common themes, silences and absences in the texts, images and peritext.

This paper identifies themes of characters initially internalizing antifatness, then pushing back against antifat bias toward existing with joy and without stigma. Several of these texts even draw on the history of fat activism, highlighting societal critique and a potential activist component of children’s literature with fat protagonists.

The study has a small number of books, due to the limited number of texts that fit the study parameters.

The paper concludes with examples of scaffolding for teachers and parents to have conversations with young children about antifat bias while also acknowledging notable absences, particularly boy protagonists.

These themes illustrate the power of young children to push back against antifat bias and critique oppressive social structures.

There have been very few studies looking at antifatness in children’s picture books. With more books with fat protagonists coming out in the 2020s, this study offers an understanding of the themes present, while also emphasizing the need for an intersectional approach to literature with fat protagonists.

The authors designed a science and engineering curricular program that includes design features that promote student interest and motivation and examined teachers' and students' views on meaningfulness, motivation and interest.

The research approach consisted of mixed methods, including content analyses and descriptive statistics.

The curricular program successfully included all four of the US National Academies of Sciences' design features for promoting interest and motivation through scientific investigation and engineering design. During interviews, teachers and students expressed evidence of design features associated with interest and motivation. After experiencing the program, more than 60% of all students scored high on all four science and engineering meaningfulness and interest survey items.

A curricular program that extends science learning through the engineered design of solutions is an innovative approach to foster both conceptual knowledge development and interest and motivation in science and engineering.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

The purpose of this study is to explore the antecedents of digital technology adoption by firms, specifically the role of strategic leader social ties such as board networks and executive academic connections in promoting digital transformation. Moreover, the authors also aim to examine the moderating effect of exploratory innovation strategy on the relationship between board networks, academic connections and digital transformation.

This study uses the panel data of Chinese A-share listed companies from 2010 to 2019. Through text analysis of data such as company annual report, media interaction, asset annotation and International Patent Classification, the authors measure degrees of digital transformation from four dimensions: management attention, media discussion, digital input and digital output. Further, this study employs social network analysis and instrumental variable method to examine the causal relationship between strategic leader social ties and digital transformation.

The study finds that an expansive board network can significantly promote the digital transformation process of companies, in which academic connection of senior executives plays a positive synergistic role with board network. Additionally, firms with exploratory innovation strategies are more likely to utilize board networks to accelerate their digital transformation process.

One limitation of this study is the use of Chinese A-share listed companies as the sample, which may limit the generalizability of the findings to other contexts. Additionally, the study focuses only on two types of strategic leader social ties and does not consider other potential antecedents of digital transformation.

This research provides insights for governments to promote digital economy and industrial upgrading. Policymakers can facilitate industrial digital transformation by creating a supportive policy environment that encourages university–industry collaboration. By fostering academic entrepreneurship and cross-border knowledge transfer, governments can create a thriving ecosystem for digital innovation, thereby enhancing industrial competitiveness and economic growth.

This study helps to improve social welfare. By reducing production costs and enhancing customer experience, digital transformation increases economic surplus for both consumers and manufacturers, enabling society as a whole to benefit from the digital dividend. By promoting collaboration across borders and embracing a digital-friendly culture, businesses and governments can achieve long-term success in the digital age and contribute to building more prosperous and sustainable societies.

This research makes several contributions to the literature on digital transformation and leadership. Firstly, this paper empirically examines the role of board network and executive academic connection in promoting the adoption of digital technology, filling the research gap of leadership antecedents of digital transformation. Secondly, the authors put forward a relatively comprehensive measure for digital transformation, which could help to advance the literature on digital transformation and provide a more nuanced perspective on this topic. Finally, the paper enriches the theoretical understanding of board network and executive academic connection from the perspective of social capital theory and organizational learning theory.