Proceedings Article•
Learning from Peers on Social Media Platforms
01 Jan 2011-
TL;DR: A theoretically-grounded, dynamic structural model with endogenized knowledge-sharing behavior that takes into account “learning by sharing” and “knowledge spillover,” which are two salient features that are enabled by social media platforms.
Abstract: More and more companies have adopted social media platforms for supporting knowledge sharing among customers and employees, where individuals ask and answer questions among each other. Hence, it is important to understand the knowledge-sharing behavior of users on these systems. We propose a theoretically-grounded, dynamic structural model with endogenized knowledge-sharing behavior that takes into account “learning by sharing” and “knowledge spillover,” which are two salient features that are enabled by so cial platforms. Our model recognizes the dynamic and interdependent nature of knowledge-seeking and sharing decisions and allows them to be driven by knowledge increments and social-status building in anticipation of future reciprocal rewards. Applying this model to a unique panel of data from an expertise-sharing forum used to shore up customer support at a Fortune 500 firm, we illustrate the dynamic interdependency between individual decisions. We show that an individual is more willing to contribute to the community when her peers are more knowledgeable. We further demonstrate how a “core/periphery” knowledge sharing structure emerges, discourage users with low social status from participating, and creates a barrier to knowledge sharing and integration for the company. An exploratory sensitivity analysis shows that hiding the identity of the knowledge seeker breaks the core/periphery structure and improves the knowledge sharing by 20.46%.
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TL;DR: A case study with text mining and content analysis was conducted to address three research questions covering community discourses, polarity of viewpoint, and learning surrounding XBRL in social media, indicating thatXBRL's theorization is not in doubt, while XB RL's translation remains challenging.
Abstract: Multiple discourses are critical in determining the success of information technology (IT) diffusion. Since its inception, such discourses also appear in the eXtensible Business Reporting Language (XBRL) diffusion sphere. To help explain XBRL diffusion, we explore the discourses relative to XBRL in social media. A case study with text mining and content analysis was conducted to address three research questions covering community discourses, polarity of viewpoint, and learning surrounding XBRL in social media. Our sample data consisted of members' posts and comments in LinkedIn XBRL groups over the period 2010 to 2013. Our analysis finds that XBRL discourses in social media have largely revolved around the dissemination of XBRL information to raise awareness among potential adopters (i.e., theorization) and to properly implement XBRL (i.e., translation). Our findings indicate that XBRL's theorization is not in doubt, while XBRL's translation remains challenging. Professionals generally view XBR...
20 citations
Proceedings Article•
01 Jan 2017TL;DR: The understanding of the outcome perspective of ESS use is advanced, thus answering various calls for research, and management of the value creation process becomes more transparent and more feasible due to the introduction of E SS.
Abstract: Growing numbers of companies are implementing enterprise social software (ESS) in its various forms. The adoption and use of those information systems (IS), such as wikis, weblogs, social networking sites, or platforms that combine and integrate various of those IS, is said to have various kinds of impact on organizations. Such impacts include increased productivity or improved innovation levels. In our study, we aim to provide a more holistic overview of the various outcomes of ESS use. In doing this, we conduct a literature review to collect a list of ESS use outcomes, and apply coding techniques to categorize and order these outcomes. Our study contributes to both theory and practice: Our understanding of the outcome perspective of ESS use is advanced, thus answering various calls for research, and management of the value creation process becomes more transparent and more feasible due to the introduction of ESS.
12 citations
Cites background from "Learning from Peers on Social Media..."
...Further, Lu et al. (2011) and Pfaff and Hasan (2007) also state learning as an important outcome of ESS....
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01 Jan 2013
TL;DR: In this article, the authors identify the overlap between information systems and gamification research, identify specific research needs, and suggest avenues for future research on gamification from an IS perspective, and investigate whether gamification is actually a new phenomenon in IS research or if it has already been researched previously.
Abstract: In recent years, gamification, the use of game design elements in non-game contexts, has found widespread adoption in online-communities and social media applications with the aim to enhance brand awareness and loyalty, innovation, and online user engagement. Information Systems (IS) research seems to have just started to pay attention to gamification as a phenomenon that is worth to be studied, although the interaction of technological and social systems is at the core of the discipline. By means of a thorough literature review, we investigate whether gamification is actually a new phenomenon in IS research or if it has already been researched previously, but simply using a terminology that is different from current gamification research in other disciplines. Through this study, we identify the overlap between IS and gamification research, identify specific research needs, and suggest avenues for future research on gamification from an IS perspective.
8 citations
Cites background from "Learning from Peers on Social Media..."
...Lu et al. (2011) study knowledge sharing on social media platforms used by both customers and employees providing customer support....
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Proceedings Article•
01 Dec 2012
TL;DR: Preliminary findings show that communities with low membership overlap enjoy higher responsiveness than communities with many overlapping members, but the latter communities can significantly improve responsiveness by seeking broad inter-community collaboration on shared threads.
Abstract: Organization-bounded online communities compete as well as collaborate regarding valued member resources. Membership overlap creates competition amongst communities because their overlapping members must choose where to allocate their limited time. But members also collaborate across communities in inter-community discussion threads to tackle common problems together. This paper examines how membership overlap across communities and inter-community collaboration individually and jointly affect community responsiveness, or the level of participation in a discussion thread. We analyzed a panel data of 155 online communities internal to a global company with 2,103 community-month observations. Preliminary findings show that communities with low membership overlap enjoy higher responsiveness than communities with many overlapping members, but the latter communities can significantly improve responsiveness by seeking broad inter-community collaboration on shared threads. We explain community responsiveness by the participants’ desire to maintain an optimal balance between the need to be similar and the need to be different.
Cites background from "Learning from Peers on Social Media..."
...In this paper, our focus is on organization-bounded work-focused online communities that are open to all interested employees (Ardichvili et al. 2003; Teigland and Wasko 2003; Lu et al. 2011; Gu and Jarvenpaa 2011)....
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References
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TL;DR: The homophily principle as mentioned in this paper states that similarity breeds connection, and that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics.
Abstract: Similarity breeds connection. This principle—the homophily principle—structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange, comembership, and other types of relationship. The result is that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics. Homophily limits people's social worlds in a way that has powerful implications for the information they receive, the attitudes they form, and the interactions they experience. Homophily in race and ethnicity creates the strongest divides in our personal environments, with age, religion, education, occupation, and gender following in roughly that order. Geographic propinquity, families, organizations, and isomorphic positions in social systems all create contexts in which homophilous relations form. Ties between nonsimilar individuals also dissolve at a higher rate, which sets the stage for the formation of niches (localize...
15,738 citations
TL;DR: In this paper, a model is presented to account for the natural selection of what is termed reciprocally altruistic behavior, and the model shows how selection can operate against the cheater (non-reciprocator) in the system.
Abstract: A model is presented to account for the natural selection of what is termed reciprocally altruistic behavior. The model shows how selection can operate against the cheater (non-reciprocator) in the system. Three instances of altruistic behavior are discussed, the evolution of which the model can explain: (1) behavior involved in cleaning symbioses; (2) warning cries in birds; and (3) human reciprocal altruism. Regarding human reciprocal altruism, it is shown that the details of the psychological system that regulates this altruism can be explained by the model. Specifically, friendship, dislike, moralistic aggression, gratitude, sympathy, trust, suspicion, trustworthiness, aspects of guilt, and some forms of dishonesty and hypocrisy can be explained as important adaptations to regulate the altruistic system. Each individual human is seen as possessing altruistic and cheating tendencies, the expression of which is sensitive to developmental variables that were selected to set the tendencies at a balance ap...
9,318 citations
TL;DR: The psychosocial conditions and mechanisms underlying the Matthew effect are examined and a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science is found—a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance.
Abstract: This account of the Matthew effect is another small exercise in the psychosociological analysis of the workings of science as a social institution. The initial problem is transformed by a shift in theoretical perspective. As originally identified, the Matthew effect was construed in terms of enhancement of the position of already eminent scientists who are given disproportionate credit in cases of collaboration or of independent multiple discoveries. Its significance was thus confined to its implications for the reward system of science. By shifting the angle of vision, we note other possible kinds of consequences, this time for the communication system of science. The Matthew effect may serve to heighten the visibility of contributions to science by scientists of acknowledged standing and to reduce the visibility of contributions by authors who are less well known. We examine the psychosocial conditions and mechanisms underlying this effect and find a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science—a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance. This self-assurance, which is partly inherent, partly the result of experiences and associations in creative scientific environments, and partly a result of later social validation of their position, encourages them to search out risky but important problems and to highlight the results of their inquiry. A macrosocial version of the Matthew principle is apparently involved in those processes of social selection that currently lead to the concentration of scientific resources and talent ( 50 ).
5,689 citations
TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
Abstract: 2In an influential paper, Freeman (1979) identified three aspects of centrality: betweenness, nearness, and degree. Perhaps because they are designed to apply to networks in which relations are binary valued (they exist or they do not), these types of centrality have not been used in interlocking directorate research, which has almost exclusively used formula (2) below to compute centrality. Conceptually, this measure, of which c(ot, 3) is a generalization, is closest to being a nearness measure when 3 is positive. In any case, there is no discrepancy between the measures for the four networks whose analysis forms the heart of this paper. The rank orderings by the
4,482 citations
Book•
01 Jan 1999
TL;DR: The results of research on factors explaining organizational learning curves and the persistence and transfer of productivity gains acquired through experience are described and integrated.
Abstract: From the Publisher:
Organizational Learning: Creating, Retaining and Transferring Knowledge describes and integrates the results of research on factors explaining organizational learning curves and the persistence and transfer of productivity gains acquired through experience. Chapter One provides an overview of research on organizational learning curves. Chapter Two introduces the concept of organizational 'forgetting' or knowledge depreciation. Chapter Three discusses the concept of organizational memory. Chapter Four argues that analyzing small groups provides understanding at a micro level of the social processes through which organizations create and combine knowledge. Chapter Five describes results on knowledge transfer. Chapter Six discusses various tensions and trade-offs in the organizational learning process.
2,856 citations