Do good things and talk about them: A Theory of Academics Usage of Enterprise Social Networks for Impression Management Tactics

Enterprise social networks provide benefits especially for knowledge-intensive work as they enable communication, collaboration and knowledge exchange. These platforms should therefore lead to increased adoption and use by knowledge-intensive workers such as consultants or indeed researchers. Our interest is in ascertaining whether scientific researchers use enterprise social networks as part of their work practices. This focus is motivated by an apparent schism between a need for researchers to exchange knowledge and profile themselves, and the aversion to sharing breakthrough ideas and joining in an ever-increasing publishing and marketing game. We draw on research on academic work practices and impression management to develop a model of academics’ ESN usage for impression management tactics. We describe important constructs of our model, offer strategies for their operationalization and give an outlook to our ongoing empirical study of the use of an ESN platform by 20 schools across six faculties at an Australian university

Community by Design: Prioritizing the Factors that Drive Knowledge Use in Online Question & Answers Platforms

The question of how knowledge assets are utilized in the context of online communities is the primary impetus of this research. Using a multilevel approach, this paper investigates factors that influence the use of knowledge in an online question and answer platform (OQA). It focuses on three levels including informational, individual, and community, and reviews interactions across each level. The study tests the multilevel model with data from StackOverflow.com, a renowned online community for programmers to exchange knowledge assets, especially questions and answers about coding issues. Traditional hierarchical regression analysis proved insufficient to explicate the complexity associated with human decision-making processes with respect to asset utilization. However, a machine learning technique with a Chi-square automatic interaction detection algorithm provided a richer understanding of the relative importance of factors and their thresholds for influencing knowledge asset use

Improving Co-Production Behavior and Citizenship Behavior of Client in Enterprise System Service: A View Based on Signaling Theory

In knowledge-intensive business service, the participation of clients is important to service providers to successfully deliver high-quality service. Our research discusses this topic in enterprise system (ES) service, where clients’ co-production behavior and citizenship behavior are critical because they need to provide specific business knowledge to vendors to develop a satisfactory ES. However, because clients are unaware of vendor’s competence and goodwill, the potential risk impedes them from performing such behaviors. As information asymmetry exists between vendors and clients, we adopt signaling theory to investigate how to improve clients’ co-production behavior and citizenship behavior. According to this theory, we consider vendor’s in-role and extra-role performance as the signal sent to clients, which influence clients’ trust in vendor’s competence and goodwill. This trust leads to co-production behavior and citizenship behavior as a consequence. The current study intends to conduct questionnaire survey among clients of a focal ES vendor. Expected contributions are specified at the end of this paper

Perceived Knowledge Quality: A Sensemaking Perspective

Due to ever-increasing uncertainty in the business environment, perceived knowledge quality has become an imperative, not an option, for innovativeness. Despite its growing recognition, few empirical studies have presented to the literature. This study addresses the understudied issue of what perceived knowledge quality is and how its substructures interact with one another. A model, including its antecedent and consequence, is drawn from a sensemaking perspective and validated using survey data. This study shows that perceived knowledge quality consists of perceived intrinsic, contextual, and actionable knowledge quality. Results indicate that knowledge sharing is a critical determinant of perceived knowledge quality and that perceived intrinsic knowledge quality is mostly affected by knowledge sharing. Perceived intrinsic knowledge quality, however, is not enough, and it should be transformed into perceived contextual, actionable knowledge quality to produce innovativeness. The findings have important theoretical and practical implications which are discussed in this paper

Building Organizational Knowledge Quality: Investigating the Role of Social Media and Social Capital

To the extent that knowledge is the most strategically important resource for sustainable competitive advantage, organizations must consciously and systematically manage their knowledge asset. In this paper, we explore how social media and social capital at organizational level help organizations benefit from their knowledge management initiatives through improving organizational knowledge quality. A research model was developed and survey data were used to test the model. The preliminary results show that social media helps to provide the technical environment conducive to knowledge exchange and social capital enables the actual knowledge sharing between businesses. Both facilitate an organizational emphasis on knowledge management, which leads to organizational knowledge of higher quality

Multidimensional Online Self in Collective Action: an empirical study on Wikipedia’s deletion discussion

A user’s trust and trustworthiness is an important facet of her motivation for online knowledge exchange. Current online knowledge exchange becomes increasingly interactive and collaborative, which calls for a more dynamic understanding of online users in this regard. We argue that an online user’s self can be reified through her experience and activities within an online community over time rather than becomes a displacement of a corporal self. Drawing upon Goffman’s concept of the presentation of self (1959), we propose a three-dimensional view of online self: backstage activity, an artifact of self-representation, and frontstage performance. We develop a research model that explains how a user establishes and maintains self as a trustworthy social member through the three dimensions of online self during collective action

Combating Phishing Attacks: A Knowledge Management Approach

This paper explores how an organization can utilize its employees to combat phishing attacks collectively through coordinating their activities to create a human firewall. We utilize knowledge management research on knowledge sharing to guide the design of an experiment that explores a central reporting and dissemination platform for phishing attacks. The 2x2 experiment tests the effects of public attribution (to the first person reporting a phishing message) and validation (by the security team) of phishing messages on reporting motivation and accuracy. Results demonstrate that knowledge management techniques are transferable to organizational security and that knowledge management can benefit from insights gained from combating phishing. Specifically, we highlight the need to both publicly acknowledge the contribution to a knowledge management system and provide validation of the contribution. As we saw in our experiment, doing only one or the other does not improve outcomes for correct phishing reports (hits)

Implications of Rewards and Punishments for Content Generations by Key Opinion Leaders

Nowadays, e-commerce platforms have increasingly relied on contents generated by key opinion leaders to engage customers and drive product sales. To stay on top of the growth, e-commerce content platforms have introduced rewards and punishments policies to ensure content quality. However, effectiveness has remained less clear. Besides, there is a dearth of research that focuses on such performance-based output control in the extant platform governance and user-generated content (UGC) literature. In this study, based on the reinforcement theory and UGC literature, we investigate the effects of monetary rewards and punishments on the quantity and quality of contents generated by KOLs in the e-commerce content platform context. Using data collected from JD WeChat Shopping Circle, we empirically testified our hypotheses. Our results indicate that punishments significantly increase the quantity and quality of content generated by KOLs. Monetary rewards only have significantly positive effects on the quality of KOLs\u27 generated content. Nevertheless, the magnitude of the effects of monetary rewards is larger compared with that of punishments. Theoretical and practical implications are discussed

How Online Customer Reviews Influence Creditability and Business Performance of Tourism Websites?

Online customer reviews provide a rich shopping experience for potential customers and share information of products and services of tourism websites. Potential customers who have purchase intention can achieve useful information to decrease perceived risk with purchase uncertainty and help to make rational decisions. Prior research concentrates on how online customer reviews affect customer purchase intention, customer purchase behavior and website business performance, while all of the studies ignore the research perspective of website creditability. As credit is becoming a key factor to judge the operation quality of tourism websites, for filling the research gap, we firstly provide empirical evidence to explore how online customer reviews influence business performance with website creditability as an intermediary variable and additionally verify the significance of information quality as a moderator. The research findings show that the intermediary effects of creditability on online customer reviews and website business performance are significant, however, the moderate effect is not significant, which is distinguished from a large number of previous studies

Knowledge Nurturing Reflexivity: The Internal Conversation Approach

Leveraging intellectual capital has become imperative to facilitate individuals’ innovativeness. However, little is known about the process of knowledge nurturing reflexivity where newborn ideas and newfound knowledge, which may be incomplete or ineffective in their infancy, are further developed instead of being criticized or discarded. Without proper nurturing, they may be abandoned prematurely and never be transformed into innovativeness. To fill this research gap, this study explores knowledge nurturing reflexivity which is drawn upon the internal conversation. Data collected from 140 IS individuals were used to test the research framework. Empirical results show that sociability and solidarity are conducive to absorptive capacity which in turn influences knowledge nurture. In addition, innovativeness is significantly affected by knowledge nurture. This study contributes to overcoming the weakness of reflexivity modeling in the IS literature. It also provides important insights about the essential role of the internal conversation in building knowledge nurturing reflexivity