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Thomas Rusch

Researcher at Vienna University of Economics and Business

Publications -  40
Citations -  636

Thomas Rusch is an academic researcher from Vienna University of Economics and Business. The author has contributed to research in topics: Rasch model & Scaling. The author has an hindex of 11, co-authored 37 publications receiving 486 citations. Previous affiliations of Thomas Rusch include Harvard University.

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Capturing the Familiness of Family Businesses: Development of the Family Influence Familiness Scale (FIFS):

TL;DR: In this article, the authors developed a family influence scale measuring the family influence on the business via decision premises that express familiness. But they did not consider transgenerational orientation.
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Customer segmentation using unobserved heterogeneity in the perceived value - loyalty-intentions link

TL;DR: In this article, the authors identify three different segments that are internally consistent and stable across different service industries, using two data sets: the wireless telecommunication industry (sample size 1122) and the financial services industry(sample size 982), and compare the results of a single-class solution with finite mixture results confirms the existence of unobserved customer segments.
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Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding

TL;DR: This article elaborates on corresponding strategies and gives practical guidelines for researchers to obtain a clear picture of the goodness of fit of a solution, and focuses on goodness-of-fit assessment of an important variant of multidimensional scaling called unfolding.
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Linking cause assessment, corporate philanthropy, and corporate reputation

TL;DR: This article analyzed the link between cause assessment, corporate philanthropy, and dimensions of corporate reputation from different stakeholders' perspectives, using balance theory as a conceptual framework and the telecommunications industry in Austria and Egypt as the empirical setting.
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Breaking free from the limitations of classical test theory

TL;DR: This work presents item response theory (IRT) as a collection of viable alternatives for measuring continuous latent variables by means of categorical indicators (i.e., measurement variables) and explains the most appropriate circumstances for applying IRT, as well as the limitations of IRT.