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Auflistung nach Autor:in "Graf-Vlachy, Lorenz"

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  • Textdokument
    3. Wissenschaftsforum: Digitale Transformation (WiFo21) - Komplettband
    (3. Wissenschaftsforum: Digitale Transformation (WiFo21), 2021) Ahrend, Klaus-Michael; Stille, Wolfgang; Goltz, Katharina; Sandkuhl, Kurt; Schnell, Oliver; Ziehmann, Janek; Diekmann, Julian; Eggert, Mathias; Dreyer, Jana; Zimmermann, Birgit; Preußer, Sven; Müller, Holger; Hossnofsky, Verena; Junge, Sebastian; Graf-Vlachy, Lorenz; Reiche, Finn; Badura, Andrea; Jacobs, Stephan; Seidl, Sonja; Burkart, Marco A.; Pfeuffer, Nicolas
  • Textdokument
    If and where: Environmental antecedents of CDO adoption
    (3. Wissenschaftsforum: Digitale Transformation (WiFo21), 2021) Hossnofsky, Verena; Junge, Sebastian; Graf-Vlachy, Lorenz
    The opportunities and challenges of digital transformation lead many firms to adopt the position of a chief digital officer (CDO). Prior studies have started investigating the antecedents of CDO presence. However, they do not directly distinguish between CDOs positioned at the top management team level and CDOs located at lower levels of the organizational hierarchy. Additionally, pressures arising from a firm’s external environment have not been considered comprehensively and in detail from a theoretical as well as an empirical point of view. Our study addresses these points by performing panel data regression analyses on publicly listed German firms between 2016 and 2019. Our results indicate that the effects of environmental antecedents vary significantly for CDOs at different hierarchical levels.
  • Zeitschriftenartikel
    Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language
    (Business & Information Systems Engineering: Vol. 63, No. 4, 2021) Graf-Vlachy, Lorenz; Goyal, Tarun; Ouardi, Yannick; König, Andreas
    Online reviews, i.e., evaluations of products and services posted on websites, are ubiquitous. Prior research observed substantial variance in the language of such online reviews and linked it to downstream consequences like perceived helpfulness. However, the understanding of why the language of reviews varies is limited. This is problematic because it might have vital implications for the design of IT systems and user interactions. To improve the understanding of online review language, the paper proposes that consumers’ personality, as reflected in their political ideology, is a predictor of such online review language. Specifically, it is hypothesized that reviewers’ political ideology as measured by degree of conservatism on a liberal–conservative spectrum is negatively related to review depth (the number of words and the number of arguments in a review), cognitively complex language in reviews, diversity of arguments, and positive valence in language. Support for these hypotheses is obtained through the analysis of a unique dataset that links a sample of online reviews to reviewers’ political ideology as inferred from their online news consumption recorded in clickstream data.