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This paper aims to conceptualize two patterns of user recognition mechanisms and two kinds of user contribution behavior in enterprise-hosted online product innovation community and explain their relationships between user recognition mechanisms and user contribution behavior of online product innovation community.

A Chinese enterprise-hosted online innovation community and an American enterprise-hosted online innovation community are selected as research objects. Four Logit models are developed and some hypotheses are supposed from the perspective of prosocial behavior theory. Objective user data with three months from two online product innovation communities are collected to test with Logit regression analysis.

Findings show that there are obvious correlations between user recognition mechanisms and user contribution behavior, and there is also an obvious difference in community user activity level between the quantity-based user recognition mechanism community and the quality-based user recognition mechanism community. More specifically, in the online product innovation community with quantity-based recognition mechanism, both variables of peer recognition and community image motivation significantly affect user proactive contribution behavior. In the online product innovation community with quality-based recognition mechanism, the variable of peer recognition significantly affects both user proactive contribution behavior and user responsive contribution behavior; the variable of community image motivation significantly affects both user proactive contribution behavior and user responsive contribution behavior.

Although it is voluntary, online user voluntary contribution behavior still need to be presented, recognized and affirmed by community. For enterprise-hosted online community managers, they should pay more attention to design the reasonable online community user recognition mechanism with the coexistence of quantity and quality.

The theoretical contribution in this study is to enrich the existing research theme about enterprise-hosted online product innovation community. First, it conceptualizes two patterns of user recognition mechanisms. Second, it regards the variable of user contribution behavior as the co-existence of proactive contribution and responsive contribution. Third, from the perspective of prosocial behavior theory, it is an important supplement to explain the mechanism of user contribution behavior in enterprise-hosted online product innovation community. Fourth, it deepens the overall understanding of the relationship between user recognition mechanism and user contribution behavior. This study provides theoretical guidance for enterprises how to design reasonable and efficient online product innovation community platform. The theoretical contribution in this study is to enrich the existing research theme about enterprise-hosted online product innovation community. First, it conceptualizes two patterns of user recognition mechanisms. Second, it regards the variable of user contribution behavior as the co-existence of proactive contribution and responsive contribution. Third, from the perspective of prosocial behavior theory, it is an important supplement to explain the mechanism of user contribution behavior in enterprise-hosted online product innovation community. Fourth, it deepens the overall understanding of the relationship between user recognition mechanism and user contribution behavior. This study provides theoretical guidance for enterprises how to design reasonable and efficient online product innovation community platform.

Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous literature rarely focused on both. The purpose of this paper is to explain user contribution mechanism by identifying content contribution and product contribution.

This research chose Xiaomi-hosted online product community (bbs.xiaomi.cn) and Huawei-hosted online product community (club.huawei.com) where users can freely share ideas and buy products at the same time. Data were crawled from 109,665 community users to construct dependent variable measurement, and 611 questionnaires were used to verify research hypotheses.

The results indicate that both cognitive needs and personal integration needs have a significant positive impact on browse behavior; social integration needs and hedonic needs have a significant positive impact on content contribution behavior. Browse behavior not only directly affects but also indirectly influences product contribution through content contribution behavior.

Findings of this research provide community managers with useful insights into the relationship between content contribution and product contribution.

This study explains the formation mechanism of user product contribution and reveals the relationship between user content contribution and product contribution in online product community. This paper provides a different way of theorizing user contributions by incorporating uses and gratifications theory into the “Motivation-Behavior-Result” framework.

The purpose of this paper is to investigate to which extent the concept of communities of practice (CoPs) can be applied to online communities and to explore how organizations can better utilize online social structures for their knowledge management practice.

A case study was used to examine an online community with the practice‐and‐identity framework that characterizes conventional CoPs. Qualitative data analysis was conducted primarily on 7,853 messages downloaded from the online community during a six week period.

The results showed how an online community could manifest the practice and identity characteristics of conventional CoPs as community members actively engaged in their shared practice and identity development while pursuing a joint enterprise. Research limitations/implications – The study was conducted in a single Chinese online community on traveling, which may limit the generalizability of the findings.

This study suggested how organizations can nurture online CoPs. In addition, a hierarchical model was proposed to help organizations identify the appropriate online social structure for their knowledge management purposes. Originality/value – This study empirically verified that CoPs can emerge from online communities and demonstrated that the concept of CoPs can be used to guide knowledge sharing and knowledge creation in online environments.

The purpose of this paper is to create an online enterprise community for all logistics employees of Bosch Car Multimedia division in the Bosch Group, for an internal collaboration of the entire Bosch Group based on an IBM Connections platform: Bosch Connect. An additional concern, collected throughout the project, was to bring employees to join the platform, making it a tool of your daily work. The final objective is to implement and promote a tool to foster internal and external integration of the Bosch logistics community.

A case study is presented to illustrate the use of a Design for Six Sigma (DFSS) methodology to support all the process creation of a collaborative community. There are several variants of the methodology DFSS. For the context of this project, will be used the define, measure, analyze, design and verify (DMADV) methodology, that is appropriated to design services processes and it addresses specifically to the remodeling processes.

The use of DMADV methodology allows establish, systematically, a model which was in accordance with the target population needs.

Since this is a case study, it is not possible to generalize the results. Furthermore, this project was developed in a limit time (about four months). Thus, was not possible to obtain a large community.

The case study brings some evidence of how a systematic approach to the design of a online enterprise community can support designers to meet user’s needs.

A new approach is proposed to meet an online enterprise community user’s needs.

To the best of the authors’ knowledge, there is no evidence the use of this methodology to support a construction of an online enterprise community.

In order to explore how informal pedagogical moments are being renegotiated by the technology woven into people's lives, this paper aims to focus on online communities as sites of learning; more specifically, the informal work‐related learning practices of self‐employed workers in these cyberspaces.

This paper draws on the notion of legitimate peripheral participation (LPP) from situated learning theory in order to examine the development of work‐learning practices online. Semi‐structured interviews were conducted with own‐account self‐employed workers (contractors and consultants who do not have staff) about their engagement in online communities for work learning.

Findings indicate that these self‐employed workers were learning work practices, the viability of doing particular work, how to participate in online communities for work learning, and how to participate in fluid knowledges. The significance of developing a work‐learning practice is emphasized, as is the impact of multiple and peripheral positionings across on‐ and offline spaces.

Web technologies and shifting configurations of online collectives shake up notions of expertise, beliefs about who is able to produce, and consume information, and where one locates themselves, in order to build work‐learning practices. Multiple positioning across several online communities, and ways of participating that are peripheral, partial and part‐time warrant further examination.

The value of this paper is its exploration of how self‐employed workers develop an online work‐learning practice and the tensions that these practices bring. The paper also attempts to discuss the utility of LPP for contemporary learning practices.

Social information is crucial to credit ratings and can improve the accuracy of the traditional credit assessment model. Drawing on the resource-based view (RBV) and social capital theory (SCT), this research explores the relationships between corporate social activities, network centrality and corporate credit behavior.

The authors used social network analysis (SNA) and regression analysis to analyze the data collected from 14,544 enterprises on the Alibaba platform.

The results indicate that among the four types of social activities, the number of corporate questions and posts shows a positive relationship with credit behavior; while the number of corporate comments has negative relationship with credit behavior. Further, degree and betweenness centralities mediate the relationship between the number of corporate questions, posts and comments with credit behavior.

This study contributes to the literature on non-financial factors (soft information) by exploring the social behavioral factors related to corporate credit. In addition, this study offers a new theoretical lens and reasonable explanations for investigating the relationship between corporate social activities, network centrality and credit behavior from the perspective of the resource-based view, while most studies are predictive and methodological. Moreover, this study provides new insights for platforms to evaluate enterprise credit and for managers to improve credit behavior.

Community-based social enterprises (CBSEs), a spatially defined subset of social enterprise, are independent, not-for-profit organisations managed by community members and committed to delivering long-term benefits to local people. CBSEs respond to austerity and policy reforms by providing services, jobs and other amenities for residents in deprived communities, thus contributing to neighbourhood regeneration. This paper aims to develop a better understanding of how CBSEs perceive accountability, how they apply it in the management and representation of their business and why.

Nine case studies of CBSEs across three European countries (England, the Netherlands and Sweden) are analysed, using data from semi-structured interviews with initiators, board members and volunteers in CBSEs.

CBSEs shape accountability and representation in response to the needs of local communities and in the wake of day-to-day challenges and opportunities. Apart from financial reporting, CBSEs apply informal strategies of accountability which are highly embedded in their way of working and contingent upon their limited resources.

Although research has shown the complex governance position of CBSEs, their application of accountability to target communities and other stakeholders is unclear. The paper coins the term “adaptive accountability,” reflecting a relational, dialectic approach in which formal, costly accountability methods are only applied to legally required forms of accounting, and informal practices are accepted by funding agencies and governments as valid forms of accountability, assessing CBSEs’ societal value in more open terms.

The purpose of this paper is to explore the dynamics of an online community by examining its participants’ centrality measures: degree, closeness, and the betweenness centrality. Each centrality measure shows the different roles and positions of an individual participant within an online community. To be specific, this research examines how an individual participant’s role and position affects her/his information sharing activities within an online community over time. Additionally, it investigates the differences between two different online communities (a personal interest focussed community and a social interest focussed community), in terms of the interaction patterns of participants.

For this research, the authors collected log files from Korean online discussion communities (café.naver.com) using a crawler program. A social network analysis was used to explore the interaction patterns of participants and calculate the centrality measures of individual participants. Time series cross-sectional analysis was used to analyze the effects of the roles and the positions on their information sharing activities in a longitudinal setting.

The results of this research showed that all three centrality measures of an individual participant in previous time periods positively influenced his/her information sharing activity in the current periods. In addition, this research found that, depending on the nature of the discussion issues, the participants showed different interaction patterns. Throughout this research, the authors explored the interaction patterns of individual participants by using a network variable, the centrality, within a large online community, and found that the interaction patterns provided strong impact on their information sharing activities in the following months.

To investigate the changes of participant’s behaviors, this study simply relies on the numbers of comments received and posted without considering the contents of the comments. Future studies might need to analyze the contents of the comments exchanged between participants, as well as the social network among participants.

Online communities have developed to take a more active role in inviting public opinions and promoting discussion about various socio-economic issues. Governments and companies need to understand the dynamics which are created by the interactions among many participants. This study offers them a framework for analyzing the dynamics of large online communities. Furthermore, it helps them to respond to online communities in the right way and in the right time.

Online communities do not merely function as a platform for the free exchange and sharing of personal information and knowledge, but also as a social network that exerts massive influence in various parts of society including politics, economy, and culture. Now online communities become playing an important role in our society. By examining communication or interaction behaviors of individual participants, this study tries to understand how the online communities are evolved over time.

In the area of online communities, many previous studies have relied on the subjective data, like participant’s perception data, in a particular time by using survey or interview. However, this study explores the dynamics of online communities by analyzing the vast amount of data accumulated in online communities.

The purpose of this paper is to examine participation in online social platforms consisting of information exchange, social network interactions, and political deliberation. Despite the proven benefits of online participation, the majority of internet users read social media data but do not directly contribute, a phenomenon called lurking.

A survey was administered electronically to 507 participants and consisted of ten sections in a questionnaire to gather data on the relationship between online participation and the following variables: anonymity, social value orientation, motivations, and participation in offline activities, as well as the internet’s political influence and personality traits.

Findings show that users with high levels of participation also identify themselves, report higher levels of extroversion, openness, and activity outside the internet, the motivations being an intermediary variable in the relationship between the variables value.

The study shows that participation in online social platforms is not only related to personality traits, but they are impacted by the nature of the motivations that drive them to participate in the particular social platform, as well as by the interest toward the specific topic, or the type or nature of the social group with whom they are communicating.

This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with this issue, to ease the extension of our understanding with future research.

In this paper, keywords such as “CQA”, “Social Question Answering”, “expert recommendation”, “question routing” and “expert finding” are used to search major digital libraries. The final sample includes a list of 83 relevant articles authored in academia as well as industry that have been published from January 1, 2008 to March 1, 2019.

This study proposes a comprehensive framework to categorize extant studies into three broad areas of CQA expert recommendation research: understanding profile modeling, recommendation approaches and recommendation system impacts.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, it was found that conflicting and contradictory research results and research gaps in the existing research, and then put forward the urgent research topics.