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At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Users' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships.

Via Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models.

Preference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information.

This work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.

Social media networks make their services freely available to all users. Users pay for the service received with the time and attention taken by the advertisements. This chapter argues that social media platforms are a unique form of monopoly driven by “the more the merrier” effect (i.e., network effects) in users' consumption. These monopolies exercise market power, not by charging higher prices to users but by “tying” larger amounts of advertising to their content. Traditional antitrust instruments designed to address excessive pricing and reduced output by monopolies need to be reframed to tame the attention economy problems in the social media industry. This chapter discusses five antitrust instruments grouped in three categories: structural, behavioral, and market-based remedies. Market-based solutions are the least explored in the literature, despite being the most promising instruments to lower the attention costs imposed on users, while preserving the economies of scope in production and the network effects in consumption, and possibly maintaining free access to social media, as we know it today.

Social media has the potential to enable exchange of diverse opinions, foster dialogue on important social issues and exert positive influence on stakeholders and society. However, evidence is contradictory as to whether this is the case; it is possible that millennials' behaviors on social media are mainly driven by conservation (conformity and safety) or self-enhancement (power and achievement). In this research, the authors examine the extent to which different human values (self-transcendence, conservation, self-enhancement and openness to change) influence millennials' activities and behaviors on social media.

The authors conduct three separate surveys on Facebook, Twitter and Instagram with 491 millennials (18–34 years of age) in the USA, examining the influence of four higher-order values of the Schwartz human values model (open self-transcendence, conservation, self-enhancement and openness to change) on specific social media activities (consumption, self-focused and sharing nonpersonal content activities).

First, the authors find that for millennial users, human values significantly influence social media activities. Second, conservation values, followed by self-enhancement values, overshadow the expression of open self-transcendence values on social media. Thus, social media platforms may function more as agents of conservation and self-enhancement than agents of personal growth.

This is among the first studies to examine the influence of human values on social media and to find that human values such as conservation and self-enhancement have a strong influence on users' social media activities, while open self-transcendence values, which lead to expansion and growth, do not find genuine expression on social media.

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.

This essay engages with scholarship on history as a discipline, curriculum documents and academic and public commentary on the teaching of history in Australian, British and Canadian secondary contexts to better understand the influence of the tension between political pressure and disciplinary practice that drives the history wars in settler-colonial nations, how this plays out in secondary history classrooms and the ramifications this may have on students' democratic dispositions.

This article aims to compare secondary history curricula and pedagogies in Australia, Britain and Canada to better articulate and conceptualise the influence of the “history wars” over the teaching of national histories upon the intended and enacted curriculum and how this contributes to the formation of democratic dispositions within students. A conceptual model, drawing on the curriculum assessment of Porter (2006) and Gross and Terra's definition of “difficult pasts” has been developed and used as the basis for this comparison. This model highlights the competing influences of political pressure upon curriculum creation and disciplinary change shaping pedagogy, and the impact these forces may have upon students' experience.

The debate around what content students learn, and why, is fraught because it is a conversation about what each nation values and how they construct their own national identity(ies). This is particularly timely when the democratic self-identification of many nations is being challenged. The seditious conspiracy to storm the US Capitol on 6 January 2021, Orban's “illiberal democracy” in Hungary and the neo-Nazis in Melbourne, Australia are examples of the rise of anti-democratic sentiment globally. Thus, new consideration of how we teach national histories and the impact this has on the formation of democratic dispositions and skills is pressing.

The new articulation of a conceptual model for the impact of the history wars on education is an innovative synthesis of wide-ranging research on: the impacts of neoliberalism and cultural restorationism upon the development of intended curriculum; discipline-informed inquiry pedagogies used to enact the curriculum; and the teaching of national narratives as a political act. This comprehensive comparison of the ways in which history education in settler-colonial nations has developed over time provides new insight into the common elements of national history education, and the role this education can play in developing democratic dispositions.

Fierce competition among over-the-top (OTT) platforms has rendered branding a precondition for consumer appeal. This study proposes a new structural equation model for OTT brands, especially Netflix, where hedonic and eudaimonic entertainment motives function as facilitators of consumer brand engagement.

An online survey was conducted. Structural Equation Modeling was used to build the model and test for various direct, mediation, and moderation effects.

The results suggest a multiple mediation model in which the relationship between the two types of entertainment and intention to use Netflix is sequentially mediated by consumer attention and consumer brand engagement. Moreover, this study confirms that female consumers, compared to male consumers, exhibit higher levels of consumer brand engagement when motivated by hedonic entertainment.

This is the first study to present a novel structural model for the content consumption of OTT brands and test the role of the two types of entertainment in the intention to use Netflix.

Wikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.

The authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).

The authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.

The results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.

Knowledge sharing is increasingly important in today’s information age and extant literature considers knowledge hoarding as an undesirable form of knowledge-withholding behavior. As knowledge hoarding is a generic, nonintentional behavior, specific attitudes and organizational processes are unlikely to curb it. Hence, the study postulates that reflection, awareness and group identification are necessary to combat innate tendencies toward knowledge hoarding. To test these hypotheses, this study aims to explore the role of mindfulness and relational systems in reducing employees’ knowledge hoarding by increasing their meaning-making through work.

The study results are based on a cross-sectional survey of 203 employees in India working for different organizations. Standardized scales were used for capturing data, and partial least squares structural equation modeling was used for analysis.

Mindfulness and team cohesion were positively related to an increase in meaning-making through work. Supervisor support improved perceptions of team cohesion. However, contrary to expectations, team cohesion and meaning-making through work were positively, rather than negatively, related to knowledge hoarding.

The cross-sectional nature of the study prevents strong inference of causal relationships. Future studies may use a longitudinal design to test the relationships.

It highlights the role of meditation sessions and supervisory support in improving employees’ perceptions of meaning-making through work. It exhorts managers to systematically assess the impact and societal perceptions regarding knowledge hoarding rather than automatically assume a negative attitude.

To the best of the authors’ knowledge, this is the first study to investigate the impact of mindfulness, team cohesiveness and meaning-making through work on employees’ knowledge hoarding behaviors. The study results suggest that knowledge hoarding may be perceived positively in certain cultures. It highlights the inconsistencies in the conceptualization and operationalization of knowledge hoarding and suggests the need for better construct delineation and empirical studies related to knowledge hoarding.

Using social capital theory as the theoretical framework, the purpose of this study is to examine if shared value, the norm of reciprocity and social bonding within a small fashion brand's Instagram page transfers to the overall perception and purchase intention toward the brand. Further, the authors test perceived benefit (i.e. perceived usefulness and perceived enjoyment) as anteceding variables along with the social capital variables. More specifically, this study investigates (1) the influence of shared value and norm of reciprocity on social bonding on the Instagram page, (2) the influence of perceived usefulness and perceived enjoyment on social bonding on the Instagram page, (3) the mediating effect of brand trust and brand identification on the relationship between social bonding and purchase intention and (4) and the moderating role of the generational cohort on the hypothesized relationships.

Through an online survey, 599 usable data were collected to test the proposed research framework using partial least squares structural equation modeling.

The results identify significant influences of shared value, norm of reciprocity and perceived enjoyment on social bonding. Brand identification and brand trust both have significant mediating effects between social bonding and purchase intention. Further, the results show that the mediating effect of brand trust is significantly higher for Generation Y, while the mediating effect of brand identification is significantly higher for Generation Z.

The study findings provide important implications for small fashion brands operating in a social media realm.