Kevin Mason

Dr. Kevin Mason

Department of Marketing, Arkansas Tech University, Russellville, Arkansas, USA
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 1998 in Journal of Consumer Marketing
Verified
Journal Article
Closed access
PDF file
Kevin MasonKevin Mason
Kevin Mason
JBJoyce Bequette
Joyce Bequette
Consumers’ product evaluations are often influenced by information contained in their memories. Prior to product evaluations, consumers are often exposed to data that permits them to judge the covariation relationships among different product attributes. However, these attribute covariance perceptions may lead to biased product evaluations. Using an experimental design, this study examines the accuracy of consumers’ product attribute covariance beliefs as a function of their product experience and the relevancy of product information to which they are exposed prior to evaluating product performances. The results indicate that even limited product information affects consumers’ beliefs about product performances on attributes for which no information is available. In other words, specific product information may serve as a cue or indicator for other product characteristics via attribute covariance inferences. The accuracy of these inferences appears to be, at least partly, the function of the consumers’ product experience. Consumers with high levels of product experience are more effective at encoding and retrieving product attribute performance information. Implications of the findings are discussed and suggestions for future research are provided.

1 June 2022 in Healthcare
Verified
Journal Article
Open access
PDF file
AMAndrew N. Mason
Andrew N. Mason
MBMatt Brown
Matt Brown
Kevin MasonKevin Mason
Kevin Mason
Background: A multi-dimensional telemedicine patient satisfaction measure is utilized to provide managerial insights into where service improvements are needed and factors that impact patient service perceptions. This research explores the influence of patient demographics on telemedicine satisfaction. Four dimensions of telemedicine patient satisfaction (health benefits, patient-centered care, monetary costs, and non-monetary costs) were compared across patient gender, income, and education levels. Methods: A survey of 440 US telemedicine patients on patient satisfaction was measured with Likert scale items to create a multi-dimensional construct using the SERVQUAL model. MANOVA, ANOVA, and linear contrasts were used to examine the impact of patient demographics on telemedicine satisfaction dimensions. Results: The findings revealed that patient demographic characteristics moderated various dimensions of their telemedicine experience satisfaction. Satisfaction with telemedicine health benefits was moderated by patient gender and income levels. Patient-centered care was moderated by patient gender, income, and education levels. Satisfaction with the monetary cost of telemedicine was associated with patient gender and education level. Patient education level influenced their satisfaction with telemedicine non-monetary costs. Discussion: Notable trends include generally higher patient satisfaction for women and those with lower education levels. Patient income showed mixed trends regarding the four dimensions of patient satisfaction. Improvements in patient health literacy along with customized services may improve telemedicine patient care satisfaction and health outcomes. Conclusions: Measuring telemedicine patient satisfaction with a multi-dimensional assessment tool provides insights into how patient demographics influence perceptions of services received. The findings highlighted perceptions of telemedicine patient satisfaction dimensions that differed across patient demographics and provided insights into their overall impact on telemedicine patient satisfaction.

1 June 2001 in Journal of the Academy of Marketing Science
Verified
Journal Article
Closed access
PDF file
Kevin MasonKevin Mason
Kevin Mason
TJThomas Jensen
Thomas Jensen
SBScot Burton
Scot Burton
DRDave Roach
Dave Roach

18 May 2016 in Journal of Foodservice Business Research
Verified
Journal Article
Closed access
Kevin MasonKevin Mason
Kevin Mason
SJStephen Jones
Stephen Jones
MBMichael Benefield
Michael Benefield
JWJim Walton
Jim Walton
The quick-service restaurant industry is a significant and growing aspect of the restaurant industry. For long-term success, quick-service restaurants must generate positive relationships with consumers. More specifically, quick-service restaurants need to produce satisfied consumers that ultimately lead to loyalty behaviors toward the restaurant. This article investigates factors that may enhance quick-service restaurant consumer dining satisfaction and behavior intentions. Based upon the findings, quick-service restaurants can improve consumers’ dining satisfaction and future behavioral intentions if they provide food quality, service quality, and an atmosphere that meets or exceeds consumers’ expectations. Implications for developing effective consumer relationships are provided.

1 May 1996 in International Advances in Economic Research
Verified
Journal Article
Closed access
PDF file
GBGenie Black
Genie Black
Kevin MasonKevin Mason
Kevin Mason
GCGene Cole
Gene Cole

15 May 2023 in International Journal of Healthcare Management
Verified
Journal Article
Closed access
AMAndrew N. Mason
Andrew N. Mason
MBMatt Brown
Matt Brown
Kevin MasonKevin Mason
Kevin Mason