2015
DOI: 10.1123/jsm.2014-0229
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Major League Baseball and Twitter Usage: The Economics of Social Media Use

Abstract: From the perspective of economic demand theory, this study examines the factors that determine daily changes in Twitter following of Major League Baseball teams as a form of derived demand for a sport product. Specifically, a linear regression model is constructed by taking consideration of factors relevant to fan interest: team performance, market characteristics, scheduling, and so on. The results reveal specific determinants that have significant relationship with Twitter following. From a team management p… Show more

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Cited by 46 publications
(69 citation statements)
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References 21 publications
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“…For attendance, this is consistent with Pérez (2013), even if the comparison is not fully reliable as his dependent variable is the twice weekly change in the number of Twitter followers, his exact explanatory variable is the number of season ticket holders and his focus is only on Spanish football teams. By contrast, our result for population is contrary to Watanabe et al (2015) who find a significant positive impact of a dummy for teams designated as being in a smaller market. However, their dependent variable is the percentage change from the previous day in the number of Twitter followers, while their focus is only on MLB teams.…”
Section: Resultscontrasting
confidence: 99%
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“…For attendance, this is consistent with Pérez (2013), even if the comparison is not fully reliable as his dependent variable is the twice weekly change in the number of Twitter followers, his exact explanatory variable is the number of season ticket holders and his focus is only on Spanish football teams. By contrast, our result for population is contrary to Watanabe et al (2015) who find a significant positive impact of a dummy for teams designated as being in a smaller market. However, their dependent variable is the percentage change from the previous day in the number of Twitter followers, while their focus is only on MLB teams.…”
Section: Resultscontrasting
confidence: 99%
“…His results show that the most successful and those with the most season ticket holders benefit from the highest rates of recruitment of new Twitter followers. Watanabe et al (2015) explain the percent change from the previous day in the number of Twitter followers for teams in MLB. The results reveal specific determinants that have a significant positive relationship with Twitter following: the number of tweets; participating in the playoffs or the World Series; a winning streak of four or more games (or negative impact of a losing streak of four or more games); 31 July trading deadline; the first day of free agency; all days compared to Sunday; February, March, and April compared to January (negative impact of November and December); teams participating in nationally televised games; and teams designated as being in a smaller market.…”
Section: Facebook And/or Twitter and Professional Sports Clubsmentioning
confidence: 99%
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