Using discriminant analysis to classify satisfaction data to facilitate planning in a franchise context

Facca, Tina M.

doi:10.1080/0965254x.2012.752400

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…and has closed its operation in some emerging markets recently (e.g., Singapore). Therefore, further research is warranted on how ridesharing franchises can build a long term and sustainable business model (e.g., Thaichon et al, 2019;Facca, 2013;Bordonaba-Juste and Polo-Redondo, 2008).…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Consumer attitude and intention toward ridesharing

Cheah

Shimul

Liang

et al. 2020

Journal of Strategic Marketing

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This paper aims to provide insights on collaborative consumption (e.g., accommodation rental and ridesharing services), that is, the peer-to-peer (P2P) exchange of goods and services facilitated by online platforms. The aim of this study is to examine the factors affecting consumer's intention to participate in the sharing economy in particular toward ridesharing services. Data were collected from UberX users in Australia (n=278) and New Zealand (n=295) using online survey and analysed through Structural Equation Modelling in AMOS 25. The research model is tested and compared across three studies. The results show that perceived usefulness and word-of-mouth significantly influence the consumers' attitude toward ridesharing. The results across two samples show that the positive relationship between perceived usefulness as well as word of mouth and attitude toward service innovation is moderated by the consumers' attitude toward the advertising. In addition, currently the ridesharing application ridesharing requires more effort from the users, especially those who have a lower self-efficacy or are risk adverse towards using this type of service innovation. This paper suggests ridesharing services utilise the power of the word of mouth and peer recommendations in the brand's promotional strategies. Practitioners may also improve the consumers' perceived ease of use of the services. Furthermore, personalised e-guides and instructions can form part of the service user interface which would help curb the negative perception around app usage and complexity, and thus increase consumer confidence.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Consumer attitude and intention toward ridesharing

Cheah

Shimul

Liang

et al. 2020

Journal of Strategic Marketing

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“…Discriminant analysis has been used in numerous sports research studies (e.g., Rubin & Rosser, 2014;Oh et al, 2014;Facca, 2013). In our study, the data was separated into two groups based on the NBA player's salary.…”

Section: Discriminant Analysismentioning

confidence: 99%

Examining the Impact of Social Media Following on Player Salary in the National Basketball Association: A Multivariate Statistical Analysis

2023

JABE

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The National Basketball Association (NBA) has the highest average player salary of any professional sports league that exists. In previous studies, it has been found that on-court performance statistics, such as points per game and rebounds per game, are key determinants of NBA players' salaries. This study contributes to the literature by examining the effects of other on-court performance statistics such as real plus minus, field goal percentage, and free throw percentage. In addition, we test the relationship between NBA players' social media following and their salaries. The multivariate analyses in our study show that points per game, real plus minus, and social media following are the most essential three factors determining NBA players' salaries. The implications for NBA research and practice are discussed.

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