ERP project’s internal stakeholder network and how it influences the project’s outcome

So far little effort has been put into researching the importance of internal ERP project stakeholders’ mutual interactions, realizing the project’s complexity, influence on the whole organization, and high risk for a useful final outcome. This research analyzes the stakeholders’ interactions and positions in the project network, their criticality, potential bottlenecks and conflicts. The main methods used are Social Network Analysis, and the elicitation of drivers for the individual players. Information was collected from several stakeholders from three large ERP projects all in global companies headquartered in Finland,together with representatives from two different ERP vendors, and with two experienced ERP consultants. The analysis gives quantitative as well as qualitative characterization of stakeholder criticality (mostly the Project Manager(s), the Business Owner(s) and the Process Owner(s)) , degree of centrality, closeness , mediating or bottleneck roles, relational ties and conflicts (individual, besides those between business and project organizations) , and clique formations. A generic internal stakeholder network model is established as well as the criticality of the project phases. The results are summarized in the form of a list of recommendations for future ERP projects to address the internal stakeholder impacts .Project management should utilize the latest technology to provide tools to increase the interaction between the stakeholders and to monitor the strength of these relations. Social network analysis tools could be used in the projects to visualize the stakeholder relations in order to better understand the possible risks related to the relations (or lack of them).ERP; Social networks ; Enterprise resource planning; Stakeholders

Mapping bilateral information interests using the activity of Wikipedia editors

We live in a global village where electronic communication has eliminated the geographical barriers of information exchange. The road is now open to worldwide convergence of information interests, shared values, and understanding. Nevertheless, interests still vary between countries around the world. This raises important questions about what today's world map of in- formation interests actually looks like and what factors cause the barriers of information exchange between countries. To quantitatively construct a world map of information interests, we devise a scalable statistical model that identifies countries with similar information interests and measures the countries' bilateral similarities. From the similarities we connect countries in a global network and find that countries can be mapped into 18 clusters with similar information interests. Through regression we find that language and religion best explain the strength of the bilateral ties and formation of clusters. Our findings provide a quantitative basis for further studies to better understand the complex interplay between shared interests and conflict on a global scale. The methodology can also be extended to track changes over time and capture important trends in global information exchange.Comment: 11 pages, 3 figures in Palgrave Communications 1 (2015

Why journalists covered Syria the way they did : on the role of economic, social and cultural capital

While recent decades have seen the rise of a vast body of work on war reporting, there have been few sociological explanations of why journalists deal with challenging situations in particular ways. This article contributes to bridging the gap between practice-based studies of war reporting and general sociological studies of journalism as a profession, by providing a systematically sociological account of the factors that influenced how the Syrian conflict was covered by Dutch and Flemish reporters working for a wide range of media. In doing so, this article draws on 13 in-depth interviews with those reporters, which is informed by a content analysis of their work, and Pierre Bourdieu’s concepts of economic, social and cultural capital on both an institutional and an individual level. In addition, it is argued that Bourdieusian analyses may be developed further by distinguishing between endogenous and exogenous forms of cultural capital

Ties configuration in entrepreneurs’ personal network and economic performances in African urban informal economy

As to explore social networks influence in African informal economy, this paper fits in the conceptual framework of reticular embeddedness. By going into the analyse of ties strength, our purpose is to question the real influence of ties content. We use a recent original dataset to evaluate how entrepreneurs’ networks influence their activities economic outcomes. ‘Multiple name generators’ method provides a vast amount of information about ties content, which can be treated by factor analysis to describe and categorize networks. Finally, we show that not only business ties but the particular configuration of ties strength in networks improve informal earnings.Informal economy; embeddedness; social networks; informal earnings

Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games

In this work we explore cyberbullying and other toxic behavior in team competition online games. Using a dataset of over 10 million player reports on 1.46 million toxic players along with corresponding crowdsourced decisions, we test several hypotheses drawn from theories explaining toxic behavior. Besides providing large-scale, empirical based understanding of toxic behavior, our work can be used as a basis for building systems to detect, prevent, and counter-act toxic behavior.Comment: CHI'1

Ties configuration in entrepreneurs’ personal network and economic performances in African urban informal economy

As to explore social networks influence in African informal economy, this paper fits in the conceptual framework of reticular embeddedness. By going into the analyse of ties strength, our purpose is to question the real influence of ties content. We use a recent original dataset to evaluate how entrepreneurs’ networks influence their activities economic outcomes. ‘Multiple name generators’ method provides a vast amount of information about ties content, which can be treated by factor analysis to describe and categorize networks. Finally, we show that not only business ties but the particular configuration of ties strength in networks improve informal earnings.Informal economy ; embeddedness ; social networks ; informal earnings