Search results

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.

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.

Networks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.

This study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.

The results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.

Local governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.

This study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

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.

The purpose of this scoping rapid review was to identify and analyse existing qualitative methodologies that have been used to investigate K-12 teachers' lived experiences of adult cyber abuse as a result of student content “going viral” to propose a novel methodological stance incorporating the Australian Online Safety Act 2021.

A search of Google Scholar was conducted using keywords and phrases related to cyber trauma, teachers, qualitative methods and the Online Safety Act. Inclusion criteria for the review were: (1) published in English, (2) focused on teachers' experiences of online abuse and cyberbullying associated with viral posts and (3) employed a qualitative inquiry methodology. Full-text articles were obtained for those that met the inclusion criteria. Data were extracted and analysed using a PRISMA flowchart and inductive thematic analysis.

This methodology is considered to be justified, as the eSafety Commissioner's Safety-by-Design principles do not have any legal or regulatory enforceability, whereas the Online Safety Act 2021 provides the Australian eSafety Commissioner an avenue to drive greater algorithmic transparency and accountability.

The findings of this review informed the development of a novel methodological stance for investigating Australian teachers' lived experiences of adult cyber abuse associated with viral posts. It provides a methodological positioning to support trauma informed qualitative research into adult cyber abuse, informed by the work of the eSafety Commissioner and the Online Safety Act.

Cybertrauma is described as “any trauma that is a result of self- or, other-directed interaction with, mediated through, or from any electronic Internet/cyberspace ready device or machine learning algorithm, that results in impact now or the future” (Knibbs, 2021). It may result from the tracking of movement through various mobile phone features and applications such as location sharing, non-consensual monitoring of social media, and humiliation or punishment through the sharing of intimate images online, through to direct messages of abuse or threats of violence or humiliation. These actions are further perpetuated through automated searches, insights and recommendations on social media (i.e. engagement metrics promote memes, Facebook posts, Tweets, Tiktoks, Youtubes and so on). This is a novel methodology, as it not only considers direct cybertrauma but also automated forms of cybertrauma.

The purpose of this paper is to illustrate the new technical demands and reliability challenges to printed circuit board (PCB) designs, materials and processes when the transmission frequency increases from Sub-6 GHz in previous generations to millimeter (mm) wave in fifth-generation (5G) communication technology.

The approach involves theoretical analysis and actual case study by various characterization techniques, such as a stereo microscope, metallographic microscope, scanning electron microscope, energy dispersive spectroscopy, focused ion beam, high-frequency structure simulator, stripline resonator and mechanical test.

To meet PCB signal integrity demands in mm-wave frequency bands, the improving proposals on copper profile, resin system, reinforcement fabric, filler, electromagnetic interference-reducing design, transmission line as well as via layout, surface treatment, drilling, desmear, laminating and electroplating were discussed. And the failure causes and effects of typical reliability issues, including complex permittivity fluctuation at different frequencies or environments, weakening of peel strength, conductive anodic filament, crack on microvias, the effect of solder joint void on signal transmission performance and soldering anomalies at ball grid array location on high-speed PCBs, were demonstrated.

The PCB reliability problem is the leading factor to cause failures of PCB assemblies concluded from statistical results on the failure cases sent to our laboratory. The PCB reliability level is very essential to guarantee the reliability of the entire equipment. In this paper, the summarized technical demands and reliability issues that are rarely reported in existing articles were discussed systematically with new perspectives, which will be very critical to identify potential reliability risks for PCB in 5G mm-wave applications and implement targeted improvements.