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TV Sports Viewers – Who Are They?

A Norwegian Case Study

Harry Arne Solberg and Randi Hammervold

Programmes - Who is Willing to Pay to Watch?’, Journal of Media Economics, 19, pp. 147-162 Hirt, E.R., Zillmann, D., Erickson, G.A. & Kennedy, C. (1992) ‘Costs and Benefits of Allegiance: Changes in Fan’s Self-ascribed Competencies after Team Victory Versus Defeat’, Journal of Personality and Social Psychology, 63, pp. 724-738. Hoehn, T. & Szymanski, S. (1999) ‘The Americanisation of European Football’, Economic Policy, 28, pp. 205-240. Kenyon, G.S. (1969) ‘Sport Involvement: A Conceptual Go and Some Consequences Thereof’, in

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“Media Micro-Generations”

How New Technologies Change Our Media Morality

Stina Bengtsson and Bengt Johansson

-16. Clark, Lynn Schofield (2009). Digital Media and the Generation Gap: Qualitative Research on US Teens and Their Parents. Information, Communication & Society, 12(3): 388-407. Claudy, Marius; Michelsen, Claus & O’Driscoll, Aidan (2011). The Diffusion of Microgeneration Technologies – Assessing the Influence of Perceived Product Characteristics on Home Owners’ Willingness to Pay. Energy Policy, 39(3): 1459-1469. Colombo, Fausto & Fortunati, Leopoldina (eds.). (2011). Broadband Society and Generational Changes (Vol. 5). Frankfurt am Main: Peter Lang

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Sports Broadcasting

An Accelerator of Business Integration in the Media Industry

Harry Arne Solberg and Knut Helland

Sports Programming’, Nordicom Review , 21(2), Special Issue, 101-113. Gerrard, B. (2000) ‘Media Ownership of Pro Sports Teams: Who Are the Winners and Losers?’, S ports Marketing & Sponsorship, 2, 199-218. Gratton, C. & Solberg, H.A. (2007) The Economics of Sport Broadcasting . London: Routledge. Hammervold, R. & Solberg, H.A. (2006) TV Sports Programmes – Who is Willing to Pay to Watch? Journal of Media Economics 19, 147-162. Haugland, S.A. (2004) Samarbeid, allianser og nettverk [Cooperation, alliances and networks], second edition

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John Zhang, Ming Fan, Bin Gu, Vijay Mookerjee, Bin Zhang and J. Leon Zhao

, nearly everyone is using social media to record their life and thoughts. Therefore, what they think is recorded on the Internet. Seemingly, individuals are less sensitive about privacy. I have undertaken previous research on this topic and found empirical evidence. People tend to be more open and more willing to talk about their private preferences on social media than in the real world. Individuals tend to share their lives and opinions about products online, which provides us with many opportunities to analyze such content. In general, content analysis in IS

Open access

Tingting Jiang, Jiaqi Yang, Cong Yu and Yunxin Sang

without advertisements. But advertisements had little influence on mobile users’ browsing behavior ( Djamasbi, Hall-Phillips, & Yang, 2013 ). Online learning users also behaved differently when using different types of devices. Interesting results have been engendered from laboratory-based experiments. Learners prefer learning MOOCs on desktops because they encountered more difficulties in learning mobile MOOCs ( Dalipi, Imran, Idrizi, & Aliu, 2017 ). In contrast, users using tablets showed stronger willingness to learn than those using desktops ( Sung & Mayer, 2013