Copenhagen Business School

About: Copenhagen Business School is a education organization based out in Copenhagen, Hovedstaden, Denmark. It is known for research contribution in the topics: Corporate governance & Context (language use). The organization has 2194 authors who have published 9649 publications receiving 341898 citations.

Local players in global games : the strategic constitution of a multinational corporation

Abstract: 1. Introduction: Multinational Corporations as Lead Agents of Globalization? PART I: LOCAL PATHWAYS TO MUTLINATIONAL ENTERPRISE 2. Associating Local Strategies of Global Reach: Horsens, Lake Mills, Eastbourne, and APV PART II: A GLOBAL GAME ENACTED BY LOCAL PLAYERS 3. Horsens: Local Strategies on a Global Stage 4. Lake Mills: Self-Limiting Strategies of a Solidaristic Plant Community 6. Lygon Place: A Corporate Headquarters at War With Itself 7. Strategic Positions and Positional Strategies PART III: MANAGERIAL CHALLENGES AND HUMAN PROMISES OF GLOBALIZATION 8. Managing the Multinational: Administrative and Human Challenges 9. The Functions of the Executive Revisited: contributions, Inducements, and Constitutional Ordering 10. Pragmatic Solutions: From Procedural Justice to Learning by Monitoring 11. Creating a Multinational Public for the Corporation 12. Conclusion: Sideshadowing the Future of Globalization

The Role of Communication and Trust in Global Virtual Teams: A Social Network Perspective

Abstract: The importance of communication and trust in the context of global virtual teams has been noted and reiterated in the information systems (IS) literature. Yet precisely how communication and trust influence certain outcomes within virtual teams remains unresolved. In this study, we seek to contribute some clarity to the understanding of the theoretical linkages among trust, communication, and member performance in virtual teams. To this end, we identify and test three proposed models (additive, interaction, and mediation) describing the role of trust in its relationship with communication to explain performance. In testing the relationships, we note that the concepts of communication and trust are inherently relational and not properties of individuals. Thus, we argue that a social network approach is potentially more appropriate than attribute-based approaches that have been utilized in prior research. Our results indicate that the "mediating" model best explains how communication and trust work together to influence performance. Overall, the study contributes to the existing body of knowledge on virtual teams by empirically reconciling conflicting views regarding the interrelationships between key constructs in the literature. Further, the study, through its adoption of the social network analysis approach, provides awareness within the IS research community of the strengths of applying network approaches in examining new organizational forms.

Good Friends, Bad News - Affect and Virality in Twitter

Abstract: The link between affect, defined as the capacity for sentimental arousal on the part of a message, and virality, defined as the probability that it be sent along, is of significant theoretical and practical importance, e.g. for viral marketing. A quantitative study of emailing of articles from the NY Times finds a strong link between positive affect and virality, and, based on psychological theories it is concluded that this relation is universally valid. The conclusion appears to be in contrast with classic theory of diffusion in news media emphasizing negative affect as promoting propagation. In this paper we explore the apparent paradox in a quantitative analysis of information diffusion on Twitter. Twitter is interesting in this context as it has been shown to present both the characteristics social and news media. The basic measure of virality in Twitter is the probability of retweet. Twitter is different from email in that retweeting does not depend on pre-existing social relations, but often occur among strangers, thus in this respect Twitter may be more similar to traditional news media. We therefore hypothesize that negative news content is more likely to be retweeted, while for non-news tweets positive sentiments support virality. To test the hypothesis we analyze three corpora: A complete sample of tweets about the COP15 climate summit, a random sample of tweets, and a general text corpus including news. The latter allows us to train a classifier that can distinguish tweets that carry news and non-news information. We present evidence that negative sentiment enhances virality in the news segment, but not in the non-news segment. We conclude that the relation between affect and virality is more complex than expected based on the findings of Berger and Milkman (2010), in short 'if you want to be cited: Sweet talk your friends or serve bad news to the public'.