V
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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Shirking behavior and socially desirable responding in online surveys
TL;DR: This study examines how shirking behavior and socially desirable responding result in incomparable responses between online surveys and paper surveys and investigates how the cultural constructs of individualism and collectivism relate toShirking and social desirability.
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A nomological model of RFID privacy concern
TL;DR: A theoretical model to explicate the construct of concern for information privacy (CFIP) is proposed within a nomological model, which advances that awareness of the RFID technology itself, awareness of information security risks entailed by RFID use, and awareness of privacy protective measures are direct antecedent to CFIP.
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Smart recovery decision-making for end-of-life products in the context of ubiquitous information and computational intelligence
TL;DR: A generalized SRDM implementation framework with a methodology roadmap is proposed to assist practitioners in applying the framework to practice and shows that the research on SRDM remains at an early stage.
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Inside sales agent’s sales activities influence on work outcomes and sales agent tenure through autonomous motivation
Richard Conde,Victor R. Prybutok +1 more
TL;DR: In this article, the authors assess the effect of sales activities on sales performance and sales agent engagement on sales agent tenure through the lens of autonomous motivation to better understand sales activities as an overall sales process antecedent.
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User Perceptions of Aesthetic Visual Design Variables within the Informing Environment: A Web-Based Experiment
TL;DR: Results show that changes in aesthetic elements of interface design, specifically, visual value and color, do ripple across a transition zone between visual design and IS variables and suggest that bias and randomness are reduced in the informing process if system interfaces are designed with mindful and skilled use of design and aesthetic elements.