An Economic Analysis of Peer Disclosure in Online Social Communities

Cao, Zhiyuan; Hui, Kai Lung; Xu, Hong

doi:10.1287/isre.2017.0744

Cited by 12 publications

(4 citation statements)

References 54 publications

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“…Contributors will perceive that they have a better reputation when more members come to appreciate the knowledge they have shared (Beck et al., 2014; Kankanhalli et al., 2005). Thus, feeling a sense of connection to a greater number of VC members naturally elevates the contributor's feeling of recognition: Put simply, this positive externality indicates that the contributor's knowledge sharing is recognized by a greater number of members (Cao et al., 2018). Therefore, a member who feels connected to a greater number of members is more likely to perceive that their reputation is bolstered by knowledge sharing.…”

Section: Theory Developmentmentioning

confidence: 99%

The effects of perceived network characteristics on knowledge exchange in virtual communities

2023

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Understanding virtual community (VC) networks is essential because the characteristics of these networks play a fundamental role in knowledge exchange. This survey‐based study proposes two network‐related antecedents: perceived closeness with VC members (PCL) and perceived connectedness with VC members (PCN). Using a structural equation modeling approach, we examined the two antecedents' associations with the knowledge‐exchange drivers that, in turn, are related to two endogenous variables: intention to acquire knowledge and intention to share knowledge. The results of our bootstrapping mediation tests suggest that the perceived network characteristics indirectly influence members' knowledge‐exchange intentions through mediators such as identification, knowledge self‐efficacy, reputation, and shared vision. We conclude that PCN can positively influence the four mediators and is a key network characteristic that facilitates knowledge exchange in virtual spaces. By studying the antecedents of users' intentions to share and acquire knowledge, this research provides a holistic view of information exchange on VCs.

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Section: Theory Developmentmentioning

confidence: 99%

The effects of perceived network characteristics on knowledge exchange in virtual communities

2023

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“…If a population is composed of just one type of entity, for example, a group of people, it can be called unimodal (Alhajj & Rokne, 2018, p. 1241). Instances of unimodal decentralized networks include dispersed social media communities (Bapna et al, 2017; Cao et al, 2018; Lee et al, 2016; Zeng & Wei, 2013) and organization networks (Chellappa & Saraf, 2010; Kwon et al, 2007; Sykes et al, 2009). When more than one type of entity exists, for example, a group of people and the documents they collectively edit, it is referred to as a ‘bimodal’ network (Alhajj & Rokne, 2018, p. 1241).…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring bimodal multi‐level networks: Network structure and dynamics driving herding effects and growth in livestreaming

Lin,

Liao,

et al. 2023

Information Systems Journal

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The majority of social network research in the IS field relies on assumptions that social networks are single‐level unified entities, disregarding the potential bimodal network structure with the coexistence of centralized and decentralized networks and overlooking the essential role of adjacent nodes as decision‐makers. By challenging these assumptions, we propose that both centralized and decentralized networks can coexist within multi‐level bimodal platforms via various role‐based subgroups with different types of decision‐makers. Livestreaming platforms, exemplifying the coexistence of multi‐level networks within a single digital ecosystem, have become increasingly popular in various industries. Drawing on social impact theory (SIT), we examine the role of information from host‐audience centralized and host–host decentralized networks in shaping subscription increment and herding effects. Using a panel dataset in livestreaming, we find that bidirectional ties in host–host networks strengthen fan acquisition and herding effect in the host‐audience decentralized network, with hosts of lower social status gaining more fans than those with higher status in bidirectional ties. Our study contributes to the understanding of social network structure, herding effect, SIT and livestreaming by problematizing assumptions and offering a contextual explanation of livestreaming. Moreover, our work provides practitioners with valuable insights into leveraging network effects for hosts' success in livestreaming.

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“…More recent studies on online privacy assessed that the combination of different claims and supporting arguments is most promising to nudge an increase in privacy concerns [2]. Meanwhile, providing information about the incompatibility of goods during the purchasing process improves the online shopping behavior [29], while digital nudging may also influence users to reflect on their own sharing behavior and potentially related privacy concerns [30].…”

Section: Theoretical Background 21 Bounded Rationality and Digital Nmentioning

confidence: 99%

Ethical Guidelines for the Construction of Digital Nudges

Meske¹,

Amojo²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Under certain circumstances, humans tend to behave in irrational ways, leading to situations in which they make undesirable choices. The concept of digital nudging addresses these limitations of bounded rationality by establishing a libertarian paternalist alternative to nudge users in virtual environments towards their own preferential choices. Thereby, choice architectures are designed to address biases and heuristics involved in cognitive thinking. As research on digital nudging has become increasingly popular in the Information Systems community, an increasing necessity for ethical guidelines has emerged around this concept to safeguard its legitimization in distinction to e.g. persuasion or manipulation. However, reflecting on ethical debates regarding digital nudging in academia, we find that current conceptualizations are scare. This is where on the basis of existing literature, we provide a conceptualization of ethical guidelines for the design of digital nudges, and thereby aim to ensure the applicability of nudging mechanisms in virtual environments.The paper is structured as follows: in section 2, we will provide the background and basic understandings of the nudging concept by emphasizing on ethical

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An Economic Analysis of Peer Disclosure in Online Social Communities

Cited by 12 publications

References 54 publications

The effects of perceived network characteristics on knowledge exchange in virtual communities

The effects of perceived network characteristics on knowledge exchange in virtual communities

Exploring bimodal multi‐level networks: Network structure and dynamics driving herding effects and growth in livestreaming

Ethical Guidelines for the Construction of Digital Nudges

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