Tuesday, March 26, 2013

Diffusion in Social Networking


DIFFUSION OF INNOVATION IN SOCIAL NETWORKING
Karol I. PELC [1]
 
Paper accepted for publication as a chapter in the book "Technology - Society - Sustainability" ed. L. Zacher, Kozminski University, Warsaw, Poland. Forthcoming in 2014.
ABSTRACT
The purpose of this paper 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 vs. time or by penetration rate within given population. On 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.



[1] Dr. Karol I. Pelc is a professor of technology and innovation management, emeritus, at the Michigan Technological University, Houghton, Michigan, U.S.A. Please address any comments or questions to kipelc@mtu.edu

Innovations in Social Networking


GLOBAL DYNAMICS OF INNOVATION IN SOCIAL NETWORKING

Pelc, Karol I.
Michigan Technological University

Paper presented at the 20th Annual Conference of the American Society of Business and Behavioral Sciences, Feb. 21 -24, 2013, Las Vegas, NV. Published in the ASBBS Proceedings   2013, v. 20, p. 340 -350. http://asbbs.org/files/ASBBS2013V1/Index.htm
 
ABSTRACT

The purpose of this paper is to present a three dimensional model of innovation process applicable for analysis of global dynamics of innovation in social networking. It refers to known models of technological innovation based on two dimensions: (1) Performance evolution in time, usually exponential in nature, e.g. Moore’s law for microelectronic chips and (2) Innovation diffusion with rate expressed by number of adopters vs. time e.g. due to imitation of early adopters or due to public access to innovation sources. On basis of literature review and available empirical data, a new third dimension called (3) Interactivity level is proposed and defined in this paper. It is specific to innovations in social networking. 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 feasibility of assessment of this dimension. By introducing a  scale of interactivity level, expressed by mode and intensity of interactive contacts among users of different social media, it is possible to improve evaluation of dynamics of innovation in social networking. 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. Theoretical basis for such measurement is derived from communication studies on interactivity viewed as a sociological phenomenon.