Suchergebnisse

Das Buch beschreibt den aktuellen Stand der digitalen Transformation von Geschäfts-, Organisations- und Führungsmodellen anhand der Digital Stars - der erfolgreichsten Unternehmen der Digitalwirtschaft. Inspiriert von den Innovationen dieser digitalen Stars, werden erfolgreiche Praktiken vorgestellt, die Unternehmen dabei unterstützen können, ihre Unternehmensführung, Organisation und Strategie neu zu überdenken.

Future-oriented cognition has been shown to be an important driver of several functional behaviors. In the present article, we build and test theory empirically on the influence of dispositional future focus on organizational citizenship behavior (OCB). We integrate future focus research with regulatory focus theory to examine the two regulatory foci (i.e. promotion and prevention focus) as mediating mechanisms through which future focus influences five distinct organizational citizenship behaviors (i.e. altruism, civic virtue, conscientiousness, courtesy, and sportsmanship). In line with our hypotheses, results from a study of 845 employees show that future focus has a positive influence on altruism, civic virtue, and courtesy over and above important predictors of OCB identified in previous research. Mediation analyses support our theoretical model, indicating that different OCBs are influenced by future focus through either promotion or prevention focus at work.

In their comment, Jungherr, Jürgens, and Schoen (2010) challenged part of the results presented in our original article ( Tumasjan, Sprenger, Sandner, & Welpe, 2010 ). The present response addresses their points of concern and demonstrates that the conclusions drawn in Tumasjan et al. (2010) are well supported by both data and analyses.

This study investigates whether microblogging messages on Twitter validly mirror the political landscape off-line and can be used to predict election results. In the context of the 2009 German federal election, we conducted a sentiment analysis of over 100,000 messages containing a reference to either a political party or a politician. Our results show that Twitter is used extensively for political deliberation and that the mere number of party mentions accurately reflects the election result. The tweets' sentiment (e.g., positive and negative emotions associated with a politician) corresponds closely to voters' political preferences. In addition, party sentiment profiles reflect the similarity of political positions between parties. We derive suggestions for further research and discuss the use of microblogging services to aggregate dispersed information.