Using attitude functions, self-efficacy, and norms to predict attitudes and intentions to use mobile devices to access social media during sporting event attendance

Mobile Media and Communication - Tập 3 Số 1 - Trang 75-90 - 2015
Xiao Wang1
1Rochester Institute of Technology, USA

Tóm tắt

The recent years have observed an increased use of social media through mobile devices on different occasions. The present investigation examines why sports spectators use social media (e.g., Facebook and Twitter) while attending sporting events. Based on a cross-sectional survey of 466 participants who generally attended games with friends or family, structural equation modeling analysis revealed that social media use through a mobile device during sporting event attendance served four functions: information-based and game pleasure-based utilitarian functions, an ego-defensive function, and a value-expressive function. The first three functions, descriptive norms, and self-efficacy predicted attitudes toward social media use. When placed within a larger theoretical framework, attitudes, self-efficacy, descriptive norms, and the ego-defensive function predicted intentions to use social media during sporting event attendance. Both theoretical and practical implications are discussed.

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Tài liệu tham khảo

10.1016/0749-5978(91)90020-T

Ajzen I. (2002). Constructing a theory of planned behavior questionnaire. Retrieved from http://people.umass.edu/aizen/pdf/tpb.measurement.pdf

10.1080/08870440008400299

10.1348/014466601164939

Bandura A., 2009, Handbook of principles of organizational behavior: Indispensable knowledge for evidence-based management, 2, 179

Brousell L. (2014). NFL’s CIO looks to improve fan experience with in-stadium tech. Retrieved from http://www.cio.com/article/746643/NFL_s_CIO_Looks_to_Improve_Fan_Experience_With_In_Stadium_Tech?page=1&taxonomyId=3061

Cialdini R. B., 1998, The handbook of social psychology, 4, 151

Conner M., 1996, Predicting health behaviour: Research and practice with social cognition models, 1, 121

Eagly A. H., 1993, The psychology of attitudes

Fishbein M., 2010, Predicting and changing behavior: The reasoned action approach

10.1111/j.1460-2466.2006.00280.x

Game change: Social media in the sports world. (2012). KT Tape. Retrieved from http://www.kttape.com/game-change-social-media-in-the-sports-world-infographic/

10.1089/cyber.2009.0411

10.4324/9781315088556-39

10.1086/266945

Krcmar M., 2009, Media choice: A theoretical and empirical overview, 53

Laird S. (2012). Super Bowl gets social-media command center. http://www.cnn.com/2012/01/23/tech/social-media/super-bowl-social-media-center/index.html

10.1016/j.chb.2010.12.009

10.4324/9781410602138

McQuail D., 1972, Sociology of mass communication, 135

O’Keefe D., 2002, Persuasion: Theory and research

10.1089/cpb.2009.0109

Raney A. A., 2006, Handbook of sports and media, 313

Research demographics. (2013). ESPN. Retrieved from http://espn.go.com/mediakit/research/demographics.html

Rogers E. M., 2003, Diffusion of innovations

Rubin A. M., 2009, Media effects: Advances in theory and research, 3, 165

10.1207/S15327825MCS0301_02

10.1006/ceps.1999.1020

Schwarzer R., 1995, Measures in health psychology: A user’s portfolio. Causal and control beliefs, 35

10.1016/0022-1031(90)90072-T

Smith M. B., 1956, Opinions and personality

10.1016/j.smr.2013.11.004

10.1089/cpb.2006.9.584

10.1080/10410230903023477

10.1177/0093650211424406

10.1016/j.chb.2013.01.031

10.1080/00224499.2012.687411

10.1080/08870446.2012.761340

10.1177/1461444810378225

10.1177/019372395019004004

10.1089/cyber.2011.0615