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Victor R. Prybutok
Researcher at University of North Texas
Publications - 270
Citations - 10112
Victor R. Prybutok is an academic researcher from University of North Texas. The author has contributed to research in topics: Service quality & Quality (business). The author has an hindex of 44, co-authored 239 publications receiving 8749 citations. Previous affiliations of Victor R. Prybutok include College of Business Administration & California State University, San Bernardino.
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An Integrated Model of Voice-User Interface Continuance Intention: The Gender Effect
TL;DR: The findings show that perceived risk (privacy concerns) and perceived ease of use are more influential on VUI use behavior of males than females, and the effect of trust and mobile self-efficacy play a more crucial role for females than males.
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Searching for New Answers: The Application of Task-Technology Fit to E-Textbook Usage.
TL;DR: In this article, the authors developed a model to test the relationship between perceived TTF of e-textbooks and UTAUT2-defined user characteristics that encourage adoption behaviors, thus facilitating student learning.
Journal Article
Predicting Airline Passenger Volume
TL;DR: This article compares the forecasting performance of neural networks with those of traditional forecasting techniques, regression and exponential smoothing, using monthly international airline passenger data between U. S and Mexico for the period of January 1982 - December 1993.
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Assessing The Fit And Stability Of Alternative Measures Of Service Quality
TL;DR: The five-Factor solution originally posited by Parasuraman, Zeithaml and Berry (1988) provides a better fit than the one-factor solution advanced by Cronin and Taylor (1992), and the strength of the model fit still suggests a need for continued development of measure to effectively assess service quality.
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Causal Latent Semantic Analysis (cLSA): An Illustration
TL;DR: The cLSA methodology illustrated in this study will provide academicians with a new approach to test causal models based on quantitative analysis of the textual data, and managers can get an aggregated understanding of their business models because the cLsa methodology provides a validation of them based on anecdotal evidence.