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As technology development has made the world better, the benefits of such development are also increasingly related to sports activities. Many sports devices have been combined with Information Technology (IT). One great example is an IT-combined sport device called "Activity Tracker." It is a device that is worn on the body and records a user's body status such as calories burned, steps walked, or heart rates. With people's increasing attention to their health, it is expected that the popularity of the devices will increase. To aid in the sales of activity trackers in a competitive market, the manufacturers should be familiar with the impact of product cues such as brand, price, and design on consumers' perceived quality, which will influence their willingness to buy. The study was quantitative; paper and pencil questionnaires were utilized. The instruments were derived from three existing studies. The study participants were Florida State University undergraduate and graduate students; 200 questionnaires were distributed to students enrolled in Lifetime Activity Program (LAP) courses and/or visiting a recreation center on campus. The final sample size was 144 participants. The data was analyzed using several statistical methods with PASW Statistics 20.0. From the descriptive statistics, the frequency counts and/or mean scores were computed for profiling the participants. The Cronbach's alpha scores, and item-to-total correlations were utilized to assess the internal consistency of the factors measured with the questionnaires. The assumptions of multiple regression, including as normality, linearity, homoscedasticity, and multicollinearity were assessed. Multiple regressions were utilized to gauge the extent to which price, brand, and design influence perceived quality. As the final step, a simple regression was utilized to measure the relationship between perceived quality and willingness to buy. Examination of this data revealed several significant results regarding the relationships between product cues, perceived quality, and willingness to buy. While brand (t=6.779; p<.05; beta=.522) and design (t=5.934; p<.05; beta=.450) had a positive impact on perceived quality, price (t=-1.681; p>.05; beta=-.139) had no significant impact on perceived quality. Perceived quality (t=6.060; p<.05; beta=.453) had a positive impact on willingness to buy; however, the variance (20%) accounted for in willingness to buy was low, meaning that there may be mediating variables between perceived quality and willingness to buy.
Activity trackers, Perceived quality, Product cues, Willingness to buy
Date of Defense
April 14, 2014.
A Thesis submitted to the Department of Sport Management in partial fulfillment of the requirements for the degree of Master of Science.
Includes bibliographical references.
Jeffrey James, Professor Directing Thesis; Yu Kyoum Kim, Committee Member; Janelle E. Wells, Committee Member.
Florida State University
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