What sort of community is the European Conference on Information Systems? A social network analysis 1993–2005

This paper presents a social network analysis (SNA) of the European Conference on Information Systems (ECIS) community based on patterns of co-authorship. ECIS contributions are separated into research papers and panels to create social networks that are then analyzed using a range of global network level and individual ego (co-author, panellist) measures. The research community is found to have few properties of the ‘small world’ and to represent an agglomeration of co-authorships. The panels network has the properties of a ‘small world’ and displays a stronger sense of social cohesion. An analysis of individual actors (egos) provides insight into who is central to the ECIS community. Based on the SNA, a range of possible interventions are proposed that could aid the future development of the ECIS community. The paper concludes by considering the usefulness of SNA as a method to support IS research.     

The scholarly influence of Heinz Klein: ideational and social measures of his impact on IS research and IS scholars

Heinz Klein was a fine scholar and mentor whose work and life have inspired us to explore the notion of ‘scholarly influence’ which we cast as ‘ideational’ and ‘social influence’. We adopt a portfolio of measures approach, using the Hirsch family of statistics to assess ideational influence and Social Network Analysis centrality measures for social influence to profile Heinz Klein's contribution to information systems (IS) research. The results show that Heinz was highly influential in both ideational terms (a significant body of citations) and social terms (he is close to the heart of the IS research community). Reflecting on the major research themes and scholarly values espoused by Klein we define a ‘Kleinian view of IS research’, grounded in Habermas’ Theory of Communicative Action, and use that to frame four affirmative propositions to address what we observe to be a distortion and attenuation of the academic discourse on the evaluation of scholarly production. This paper argues that focus should be shifted from the venue of publication of the research to the uptake of the ideas contained in it, thus increasing the openness of the discourse, participation in the discourse, truthfulness, and reduction of the inequities in power distribution within academia.     

From information systems resources to effective use: Moderating effect of network embeddedness

This research examines how organizations can achieve effective information systems (IS) use by aligning internal IS resources with embeddedness in the IS outsourcing network. Leveraging the empirical opportunity of large-scale organization-wide meaningful use attestation of electronic health records, we conducted a longitudinal analysis of US hospitals from 2013 to 2017. We found that an organization’s network embeddedness amplifies the positive relationship between IS resources and effective IS use. We also identify different impacts depending on network embeddedness types and organization sizes. We found positive moderating effects of structural and positional embeddedness. However, junctional embeddedness has no direct or moderating effect on IS use. In addition, the moderating effects manifest differently for different-sized organizations – i.e., structural embeddedness has a stronger positive moderating effect for large organizations, while positional embeddedness’ positive moderating effect is stronger for small organizations. We also found heterogeneous direct effects of structural and positional embeddedness on organizational IS use. Solely depending on structural embeddedness will result in lower IS use, which is more prominent for small organizations. Positional embeddedness has a negative direct effect on small organizations’ IS use but positively relates to large organizations’ IS use. This research highlights the role of network embeddedness in facilitating IS use and offers a nuanced understanding of its impacts. Our findings also provide practical implications for organizational IS use through strategic IS outsourcing.     

Social networks,communication styles,and learning performance in a CSCL community

The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learners’ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operationalized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL.     

Understanding the consequences of information systems service quality on IS service reuse

IS researchers have normally assumed that satisfaction is the key factor influencing IS customers’ reuse of services; however, a focus on customer satisfaction does not always guarantee customer retention. We synthesized customer satisfaction and dissatisfaction models from prior service quality research to provide a comprehensive model predicting the behavioral intentions of customers to reuse IS services. Five research hypotheses were empirically tested by using a field study of 263 users of an IS service department. Our findings placed IS service quality in a causal network leading to IS service reuse and highlighted the relative importance that service quality value played in predicting behavioral intention to reuse the service.     

Crowdsourcing of information systems research

This paper addresses how technology-mediated mass collaboration offers a dramatically innovative alternative for producing IS research. We refer to this emerging genre as the crowdsourced research genre and develop a framework to structure discourse on how it may affect the production of IS research. After systematically traversing the alternative genre’s landscape using the framework, we propose a research agenda of the most substantial and imminent issues for the successful development of the genre, including contributor incentives, scholarly contribution assessment, anonymity, governance, intellectual property ownership, and value propositions. In addressing this research agenda, we reflect on what might be learned from other areas in which crowdsourcing has been established with success.     

Identity ambiguity and the promises and practices of hybrid e-HRM project teams

The role of IS project team identity work in the enactment of day-to-day relationships with their internal clients is under-researched. We address this gap by examining the identity work undertaken by an electronic human resource management (e-HRM) ‘hybrid’ project team engaged in an enterprise-wide IS implementation for their multi-national organisation. Utilising social identity theory, we identify three distinctive, interrelated dimensions of project team identity work (project team management, team ‘value propositions’ (promises) and the team’s ‘knowledge practice’). We reveal how dissonance between two perspectives of e-HRM project identity work (clients’ expected norms of project team’s service and project team’s expected norms of themselves) results in identity ambiguity. Our research contributions are to identity studies in the IS project management, HR and hybrid literatures and to managerial practice by challenging the assumption that hybrid experts are the panacea for problems associated with IS projects.     

Information quality,user satisfaction,and the manifestation of workarounds: a qualitative and quantitative study of enterprise content management system users

In this paper, we focus on a critical aspect of work in organizations: using information in work tasks which is provided by information systems (IS) such as enterprise content management (ECM) systems. Our study based on the IS success model, 34 interviews, and an empirical study of 247 ECM system users at a financial service provider indicates that it is appropriate to differentiate between contextual and representational information quality as two information quality dimensions. Furthermore, we reveal that in addition to system quality, the two information quality dimensions are important in determining end-user satisfaction, which in turn influences the manifestation of workarounds. Our study also finds that employees using workarounds to avoid an ECM system implemented several years is negatively related to individual net benefits of the ECM system. Hence, we conclude that when investigating large-scale IS such as ECM systems, it is important to differentiate among information quality dimensions to more deeply understand end-user satisfaction and the resulting manifestation of workarounds. Moreover, this research guides organizations in implementing the most appropriate countermeasures based on the importance of either contextual or representational information quality.     

Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities

The global use of online communities has exploded to involve hundreds of millions of users. Despite the tremendous social impact and business opportunities afforded by these communities, little information systems (IS) research has addressed them – especially in a cross-cultural context. Our research proposes an online community self-disclosure model, tested in a cross-cultural setting using data provided by French and British working professionals. Our model is based on social exchange theory (SET) and social penetration theory (SPT), as well as on cross-cultural theory related to individualism-collectivism. SET explains that individuals engage in relationships when the perceived costs associated with the relationship are less than the expected benefits. SPT extends SET to explain that individuals participate in self-disclosure to foster relationships – reciprocation is the primary benefit of self-disclosure, whereas risk is the foundational cost of self-disclosure. Our study established several important findings: positive social influence to use an online community increases online community self-disclosure; reciprocity increases self-disclosure; online community trust increases self-disclosure; and privacy risk beliefs decrease self-disclosure. Meanwhile, a tendency toward collectivism increases self-disclosure. We further found that French participants had higher scores on horizontal individualism than British participants. Several other findings and their implications for practice are also discussed.     

Benefits and Risks of Social Business: Are Companies Considering E-Discovery?

Using social media in business, referred to as social business, is exploding. In reviewing past research according to brand-driving efforts for products, customers, employees, and business partners, we find a focus on benefits, with little attention to risks. Seemingly disregarded in the IS literature is the risk of electronic discovery resulting from legal actions. We categorize and exemplify risks, while analyzing the legal risk. We conclude by providing recommendations for practice and directions for future research.     

社会网络分析技术在科研信息化中的应用

e-Science 和 Web2.0 的发展,促进了科研信息的开放和共享。科研人员对信息的依赖程度日渐加深,对知识服务、社会化信息的感知提出了更高的要求。科研人员在科研活动中形成了一张无形的社会网络,即学术社会网络。应用社会网络分析技术研究学术社会网络,一方面可以从宏观上通过对网络结构进行分析,了解当前的科研合作状况,提供科研管理的科学支持,另一方面可从微观的个人影响力、关系预测等多个侧面进行分析,深化信息服务。本文将重点介绍社会网络分析技术在当前科研信息化的应用实例,包括针对学术社会网络开展的实证研究工作,基于学术社会网络的合作者推荐技术,以及面向科研用户的支持知识共享和学术交流的学术社交平台。     

Us and them: a social capital perspective on the relationship between the business and IT departments

In this paper, a social capital perspective is applied to the relationship between the IT department and the Business organization. IT and Business are conceptualized as different occupational communities, with different understandings of their work. Our focus is on the level of social capital and the process of knowledge sharing between these occupational communities. We analyze the role that these factors play in reaching a mutual understanding within the process of IS development, and the influence this has on the perceived performance of the IT organization. Our study, combining qualitative and quantitative methods, points out that a lack of social capital (structural, relational as well as cognitive) can serve as an explanation for the often problematic relationship between these communities. Our analyses also show that social capital is especially relevant for the Business organization's perception of IT performance, whereas the IT department's perception is that performance is primarily dependent on the exchange of information.     

Social Network Clustering and Visualization using Hierarchical Edge Bundles

The hierarchical edge bundle (HEB) method generates useful visualizations of dense graphs, such as social networks, but requires a predefined clustering hierarchy, and does not easily benefit from existing straight‐line visualization improvements. This paper proposes a new clustering approach that extracts the community structure of a network and organizes it into a hierarchy that is flatter than existing community‐based clustering approaches and maps better to HEB visualization. Our method not only discovers communities and generates clusters with better modularization qualities, but also creates a balanced hierarchy that allows HEB visualization of unstructured social networks without predefined hierarchies. Results on several data sets demonstrate that this approach clarifies real‐world communication, collaboration and competition network structure and reveals information missed in previous visualizations. We further implemented our techniques into a social network visualization application on facebook.com and let users explore the visualization and community clustering of their own social networks.     

Social ties,knowledge sharing and successful collaboration in globally distributed system development projects

Traditionally, the main focus of the information system (IS) literature has been on technical aspects related to system development projects. Furthermore, research in the IS field has mainly focused on co-located project teams. In this respect, social aspects involved in IS projects were neglected or scarcely reported. To fill this gap, this paper studies the contribution of social ties and knowledge sharing to successful collaboration in distributed IS development teams. Data were drawn from two successful globally distributed system development projects at SAP and LeCroy. Data collected were codified using Atlas.ti software. The results suggest that human-related issues, such as rapport and transactive memory, were important for collaborative work in the teams studied. The paper concludes by discussing the implications for theory and suggesting a practical guide to enhance collaborative work in globally distributed teams.     

Twenty years of the European information systems academy at ECIS: emergent trends and research topics

While the information systems (IS) community is increasingly international, it is reasonable to expect that different regions might display different research approaches, interests and publication orientations. This paper contributes to the growing number of historical accounts in the IS field by further developing the profile of European IS research that was reported on in EJIS following the first 10 years of the European Conference on Information Systems (ECIS). On the basis of an analysis of all papers published in ECIS proceedings during the 10-year period 2003–2012, the paper highlights three key characteristics of the developing European IS research profile: (1) continuation of the traditional European IS research profile as developed in the first decade; (2) convergence with aspects of the North American tradition and (3) development of a distinct approach to design science. We place these observed characteristics within broader historical and contextual features such as the changing European academic landscape, with increasing pressures to ‘publish or perish’ in order to be internationally competitive. Our contribution lies in providing a contemporaneous account of the dominant contextual factors influencing the European IS academy in recent years as well as our interpretation of the developing research profile, thus informing future understanding of European IS research and the choices facing individual IS researchers.     

Promoting social network awareness: A social network monitoring system

To increase communication and collaboration opportunities, members of a community must be aware of the social networks that exist within that community. This paper describes a social network monitoring system – the KIWI system – that enables users to register their interactions and visualize their social networks. The system was implemented in a distributed research community and the results have shown that KIWI facilitates collecting information about social interactions. Furthermore, the visualization of the social networks, given as feedback, appeared to have a positive impact on the group, augmenting their social network awareness.     

Meinungs?u?erung und -bildung in sozialen Medien

Emerging cyber-collective social movements (CSMs) have frequently made headlines in the news. Despite their popularity, there is a lack of systematic methodologies to empirically study such movements in complex online environments. Using the Al-Huwaider online campaign as a case to illustrate our methodology, this contribution attempts to establish a rigorous and fundamental analysis that explains CSMs. We collected 150 blogs from 17 countries ranging between April 2003 and July 2010 with a special focus on Al-Huwaider??s campaigns capturing multi-cultural aspects for our analysis. Bearing the analysis upon three central tenets of individual, community, and transnational perspectives, we develop novel algorithms modeling CSMs by utilizing existing collective action theories and computational social network analysis. This article contributes a methodology to study the diffusion of issues in social networks and examines roles of influential community members. The proposed methodology provides a rigorous tool to understand the complexity and dynamics of CSMs. Such methodology also assists us in observing the transcending nature of CSMs with future possibilities for modeling transnational outreach. Our study addresses the lack of fundamental research on the formation of CSMs. This research contributes novel methodologies that can be applied to many settings including business, marketing and many others, beyond the exemplary setting chosen here for illustrative purposes.     

Using big data techniques for measuring productive friction in mass collaboration online environments

The advent of the social web brought with it challenges and opportunities for research on learning and knowledge construction. Using the online-encyclopedia Wikipedia as an example, we discuss several methods that can be applied to analyze the dynamic nature of knowledge-related processes in mass collaboration environments. These methods can help in the analysis of the interactions between the two levels that are relevant in computer-supported collaborative learning (CSCL) research: The individual level of learners and the collective level of the group or community. In line with constructivist theories of learning, we argue that the development of knowledge on both levels is triggered by productive friction, that is, the prolific resolution of socio-cognitive conflicts. By describing three prototypical methods that have been used in previous Wikipedia research, we review how these techniques can be used to examine the dynamics on both levels and analyze how these dynamics can be predicted by the amount of productive friction. We illustrate how these studies make use of text classifiers, social network analysis, and cluster analysis in order to operationalize the theoretical concepts. We conclude by discussing implications for the analysis of dynamic knowledge processes from a learning sciences perspective.     

Learning to acquire: how serial acquirers build organisational knowledge for information systems integration

This paper develops a knowledge-based model of information systems (IS) integration in acquisition-based growth programs. Previous research has found important differences in the acquirers’ abilities for acquisition IS integration, and that these differences play key roles in explaining the economic benefits of acquisition-based growth. A knowledge-based view of acquisition IS integration contributes explanation to how differences in abilities arise. Our knowledge-based model is developed by an analytic induction approach, comprising both deductive and inductive analysis of the industry group Trelleborg. The analyses yield five propositions that explain the building of knowledge for acquisition IS integration by the mechanisms of routine refinement, superstitious learning, expertise building, sub-activity refinement and related expertise building. Together, the five propositions form a knowledge-based model of acquisition IS integration. The model suggests that ‘serial acquirers’ form the knowledge necessary for attending to an IS integration challenge over a series of heterogeneous acquisitions. Differences in acquirers’ abilities for acquisition IS integration that depend on knowledge variations are therefore persistent and hard to overcome for the inexperienced acquirer.     

Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online games

It has long been a challenge for online game providers that online game players frequently switch to alternative games without much hesitation. Current IS continuance theories are mainly developed to interpret user continuance of general utilitarian IS and are ineffective in interpreting user continuance of hedonic IS. In this study based on the uses and gratifications theory, a hedonic IS continuance model is developed by incorporating three types of gratification: hedonic gratification (enjoyment, fantasy and escapism); social gratification (social interaction and social presence); and utilitarian gratification (achievement and self-presentation). Age and gender are the moderating factors in the model. The research model is empirically assessed based on 3919 validated responses from the users of a social network game in China. In this study we found that three types of gratification affect an individual’s continuance intention to use a social network game: hedonic gratification (enjoyment, fantasy and escapism), utilitarian gratification (achievement) and social gratification (social interaction and social presence). The results provide weak support for the moderating effect of gender on the relationship between each antecedent and continuance intention, but offer strong support for the moderating effect of age on the relationships.