Abstract
The purpose of this paper was is to present a model of innovation diffusion process applicable for analysis of innovation in social networking. Until recently, the innovation diffusion was measured by the rate of adoption expressed by the number of adopters versus time or by penetration rate within given population. On the basis of literature review and available empirical data, a new, additional dimension called “interactivity level” is proposed in this paper. It is specific to innovations in social networking, where the main purpose of innovation is to improve interactive contacts among actors in a network. The interactivity level reflects amount of active knowledge and effective use of social media/technologies. This dimension has not been systematically studied yet. However, some recent surveys of social media users demonstrate a need and suggest application of that dimension. It is possible to improve evaluation of diffusion of innovation in social networking by introducing a scale of interactivity level, expressed by the mode/scope and intensity of interactive contacts among users of different social media. Such approach implies that adoption of innovation should not be viewed just as an event but rather as a learning process of each adopter. Hence, some phases of that process need to be identified and assessed in terms of dynamics of learning. Six basic phases of this process are proposed in this paper. Comparative study of average interactivity levels of users in different countries is proposed as an indicator of evolution of social media in the global business environment.
Keywords
- Interactivity level
- Innovation adoption
- Penetration rate
- Diffusion model
- Social networking
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Benkler Y (2006) The wealth of networks: how social production transforms markets and freedom. Yale University Press, New Haven and London
Brown B, Sikes J (2012) Minding your digital business: McKinsey Global Survey results. McKinsey Q. https://www.mckinseyquarterly.com/article=2975. Accessed 17 Aug 2012
Bughin J, Chui M (2010) The rise of the networked enterprise: Web 2.0 finds its payday. McKinsey Q. https://www.mckinseyquarterly.com/article=2716. Accessed 17 Aug 2012
Bughin J, Byers AH, Chui M (2011) How social technologies are extending the organization. McKinsey Q November 2011,10
Bughin J (2012) Wiring the open-source enterprise. McKinsey Q January 2012, 4
Carlsson B (2004) The digital economy: What is new and what is not? Struct Change Econ Dyn 15:245–264
De Kare-Silver M (2011) E-shock 2020: how the digital technology revolution is changing business and all our lives. Palgrave Macmillan, Basingstoke and New York
Girifalco LA (1991) Dynamics of technological change. Van Nostrand Reinhold, New York
Kaplan AM, Haenlein M (2010) Users of the world, unite! The challenges and opportunities of Social Media. Bus Horiz 53:59–68
Kiousis S (2002) Interactivity: a concept explication. New Media Soc 3:355–383
Knowledge@Wharton (2012) Barry Libert’s four steps for harnessing the power of social media. http://knowledge.wharton.upenn.edu/articleID=3054
Li C, Bernoff J (2008) Groundswell: winning in a world transformed by social technologies. Harvard Business Press, Boston
Li C, Bernoff J (2011) Groundswell, expanded and revised edition: winning in a world transformed by Social technologies. Harvard Business Press, Boston
Mahajan V, Schoeman M (1977) Generalized model for the time pattern of the diffusion process. IEEE Trans Eng Manage 24(1):12–18
Pelc KI (2012) A model of global network environment for innovation. In: Proceedings of the 2012 global business & international management conference. Orlando, FL, January 15–17, 2012. ISSN 2155-1219: 118–129
Pelc KI (2013) Global dynamics of innovation in social networking. In: ASBBS proceedings 2013, 20th annual conference of the American society of business and behavioral sciences, Las Vegas Feb. 21–24, 2013, 20:340–350. http://asbbs.org/files/ASBBS2013V1/Index.htm
Rainie L, Wellman B (2012) Networked: the new social operating system. The MIT Press, Cambridge, MA
Rogers EM (2003) Diffusion of innovations, 5th edn. Free Press, New York
Sharif MN, Ramanathan K (1981) Binomial innovation diffusion models with dynamic potential adopter population. Technol Forecast Soc Chang 20(1):63–87
Skiadas C (1985) Two generalized rational models for forecasting innovation diffusion. Technol Forecast Soc Chang 27(1):39–61
Socialbakers (2013) Facebook statistics by country. http://www.socialbakers.com/. Accessed 01 Mar 2013
Tapscott D (2009) Grown up digital: how the net generation is changing our world. McGraw-Hill, New York
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Pelc, K.I. (2017). Diffusion of Innovation in Social Networking. In: Zacher, L. (eds) Technology, Society and Sustainability. Springer, Cham. https://doi.org/10.1007/978-3-319-47164-8_1
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DOI: https://doi.org/10.1007/978-3-319-47164-8_1
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