Showing papers by "Victor R. Prybutok published in 2020"
TL;DR: This study is among the first to empirically determine which factors most affect residents’ and public servants’ intention to use smart-city services, and reveals perceived security and perceived privacy to be strong determinants of trust in technology, and price value a determinant of Trust in government.
Abstract: While some cities attempt to determine their residents’ demand for smart-city technologies, others simply move forward with smart-related strategies and projects. This study is among the first to e...
47 citations
TL;DR: In this paper, the authors proposed a theoretical model explaining the roles of multiple mediating factors (i.e., product quality, service quality, and information search) in the association between product involvement and store loyalty.
46 citations
TL;DR: This research integrates SCM and QM within the context of a quality focused organizational framework by proposing a modified version of the Baldrige framework and validate the proposed framework, showing the importance of SCM as a major organizational construct with a significant positive direct influence on organizational results.
Abstract: A paucity of research has explored the integration of supply chain management (SCM) and quality management (QM) within an overall organizational context. The investigation of integrating SCM and QM...
26 citations
TL;DR: A meta-analysis of a sample of 28 empirical studies spanning a twenty-year period from 1995 to 2015 shows that most individual QM practices have a positive impact on aggregate organizational performance and performance dimensions including financial performance, operational performance, customer service, and product quality, and reveals that moderators exist among relationships between most pairs of QM practice.
20 citations
TL;DR: The results support that five trusting base constructs have a statistically significant influence on the development of trusting beliefs in the use of OCAS, including situational normality, structural assurance, cognitive trusting base, perceived ease of use, and self-efficacy.
Abstract: An online clinic appointment system (OCAS) is an example of health information technology (HIT) innovation in the healthcare industry. An OCAS can help healthcare organizations to improve the effic...
19 citations
TL;DR: An extended Expectation-Confirmation Model (ECM) framework is developed and tested to investigate IT continuance behavior for the workplace and personal use and indicates that perceived benefit exhibits a strong positive effect on both cognitive and emotional satisfaction, as well as on user continuance intention.
Abstract: This research develops and tests an extended Expectation-Confirmation Model (ECM) framework to investigate IT continuance behavior for the workplace and personal use. After collecting empirical dat...
18 citations
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.
13 citations
TL;DR: In this article, the authors explored the acceptance and use of telematics technology among the new Millennials generation, which represents both a challenge and an opportunity for insurers, and provided empirical confirmation of the integrative and predictive power of the proposed combined theoretical framework (TAM-TPB) to explain the adoption and use.
Abstract: Insurance telematics is a recent technology-enabled service innovation advanced by insurance companies and adopted by millions of drivers worldwide. This research study explores the insurance telematics technology acceptance and use among the new Millennials generation, which represents both a challenge and an opportunity for insurers. Drawing on the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB), the study uses data from 138 Millennials in the USA to delve into their perceived attitudinal behavior and intention to use insurance telematics. The findings provide empirical confirmation of the integrative and predictive power of the proposed combined theoretical framework (TAM-TPB) to explain insurance telematics adoption and use. The results also suggest a sophistication-level shift in Millennials preferences from functionality evaluation to applicability value sought through the adoption and use. And the findings ascertain the role of perceived enjoyment, trust, and social media as critical factors influencing Millennials attitudinal behavior and intention to use insurance telematics. Considering these results, the authors further discuss implications for scholars and practitioners, and suggest future research directions.
8 citations
TL;DR: A machine-based method for model and instrument development and updating that integrates large sample qualitative data is introduced that integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.
Abstract: The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed.,The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling.,As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model.,The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.
6 citations
TL;DR: A two-stage meta-heuristic method is developed to solve the demand-dependent product recovery decision-making problem for a batch of products that undergo remanufacturing/dismantling via a hybrid recovery system, and the effectiveness of the new model and approach is verified.
6 citations
25 Jun 2020
TL;DR: A user-oriented judgment approach is proposed and test that allows testing under controlled customer-oriented corpora and generates effect size measures and concludes that none of the systems reviewed possess a repeatable statistical advantage over the others.
Abstract: There is a surge in the development of decision-oriented analysis tools intended to extract actionable information from text These tools integrate various text-mining methods that were performance
TL;DR: There is significant support for method effects as shown by the suggested model paths in the trait convergent validity model with medium-large factor coefficients and the fit of the correlated uniqueness model indicates respondents can distinguish between the gap theory dimensions of the IS-adapted SERVQUAL instrument.
TL;DR: The model successfully explains the learning-learning-process-and-provides-essential-antecedents-of-eHealth-Behavioral-Intention and results show that the results are consistent with respect to results.
Abstract: eHealth offers promising tools and services to manage and improve the quality of health as well as the potential to provide accessible health information all over the world. The relatively low adoption rates among eHealth users motivates us to develop an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention. The integrated model is empirically tested by using different structural equation modeling (SEM) methods, including partial least squares SEM (PLS-SEM), PLSc, and covariance-based SEM (CB-SEM). The model successfully explains the learning process and provides essential antecedents of eHealth behavioral intention. The findings support the interplay of social, cognitive, and personal factors that impact 18-30-year-old users' learning process related to eHealth behavioral intention. The results empirically show that these three types of SEM techniques provide consistent results with respect to path coefficients and coefficients of determination. The findings indicate that CB-SEM and PLS-SEM provide adverse consequences of interaction-term path coefficients.
TL;DR: This research extends the existing technology acceptance literature to a healthcare context, provides an improved generalized understanding of the consumer’s trusting mechanism in emerging biotechnology and discusses practical insights for regulatory authorities, healthcare institutes and medical professionals.
Abstract: The purpose of this research is to investigate how the consumer’s trusting mechanism influences their behavioral adoption intention in the context of genetic testing.,Based on the technology acceptance theory and trust formation theory, the research posits and develops a comprehensive trust model by integrating trust-related factors that correlate to the consumer’s trusting beliefs and trusting intention. Survey data with 525 respondents allow to test and validate the model.,The tested model shows that technology institutional trust base, end-user’s cognitive trust base and social influence are significant determinants of trusting beliefs. The findings also reveal that mediation effects of performance expectancy and perceived risks exist in the relationship between trusting beliefs and trusting intention.,The foreseeable positive impact and rapid market growth of emerging healthcare technologies necessitate the strong need to study user acceptance. However, there is a lack of research on how consumers trust and their adoption intention of such innovations. Prior empirical evidence from different contexts and perspectives also show contradictory findings. This research extends the existing technology acceptance literature to a healthcare context, provides an improved generalized understanding of the consumer’s trusting mechanism in emerging biotechnology and discusses practical insights for regulatory authorities, healthcare institutes and medical professionals.
TL;DR: This article explored the effect of air quality on review comprehensiveness by using a large-scale daily restaurant review dataset, and reported an emotion-based underlying mechanism for the link between ambient air pollution levels and review comprehension.
Abstract: Comprehensiveness is one of the most important textual content features of online review and exhibits significant impacts on consumer’s buying decisions. This paper explores the effect of air quality on review comprehensiveness by using a large-scale daily restaurant review dataset. By applying panel data and text mining method, we report an emotion-based underlying mechanism for the link between ambient air pollution levels and review comprehensiveness. Specifically, we show that air pollution levels significantly decrease review comprehensiveness, and emotion arousal mediates the relationship. Besides, our analyses reveal that the effect of the changing natural environment on reviews is asymmetrical, such that the negative relationship between air pollution levels and emotional arousal is stronger among novice reviewers. This research extends our current understanding of air pollution’s psychological and behavioral effects on review writers and suggests the importance of integrating air quality information into online review management strategies.