The Effect of Information Sources and Communication Channels on the diffusion of Innovation in a Data Base Development Environment

Abstract

Increasing importance of emerging information technology, especially the data base component, has prompted the examination of the process of diffusion of innovations in the context of data base system development. This paper (1) examines the extent to which information sources and communication channels facilitate the diffusion of data base design tools and techniques, (2) studies how different information sources and communication channels influence diffusion and (3) assesses whether data base design tools and techniques applicable to the different stages of system development are diffused at different rates. In facilitating the diffusion of data base design tools and techniques, organizational resources such as information sources, communication channels and a technical support function are found to influence only certain classes of these innovations.diffusion of innovation, data base design, information sources, communication channels, information technology

Using alternative scales to measure knowledge sharing behavior: Are there any differences?

“…In their study into the relationship between the quality of knowledge and IN in teams in the USA, the composite reliability was 0.86 for IN. The IN items were developed by Yoo et al (2011) based on Grover and Goslar (1993) and Nilakanta and Scamell (1990).…”

Diffusion of Corporate Responsibility Practices to Companies: The Experience of the Forest Sector

“…Some common communication channels are: mass communication channels (communication that involves mass media, such as radio, television, and newspapers), interpersonal channels (personal communication between two or more individuals), written materials (e.g., library, reports, and subscriptions), and contacts with outside specialists via telephone, e-mail/mail, and events (e.g., conferences, meetings, and workshops) (Nilakanta and Scamell, 1990;Rogers, 2003).…”

Diffusion of Information Technology Outsourcing: Influence Sources and the Kodak Effect

“…This perspective has been adopted to understand the pattern of diffusion of a wide range of innovations technological and administrative innovations (see Mahajan, Muller, and Bass, 1990 for a recent review pertaining to the case of marketing). In the context of IT innovations, the diffusion approach has been used in studies such as: Zmud (1983) for modern software practices, Brancheau and Wetherbe (1990) for spreadsheet software, Gurbaxani (1990) for BITNET, and Nilakanta and Scamell (1990) (Blair, Roberts, and McKechnie, 1985;Mueller, 1986 (1) where N(t) is the cumulative number of adoptions at time period t, q is the coefficient of internal influence (q>0), and m is the potential number of adopters in the social system. A plot of N(t) with t results in a standard S-shaped curve.…”