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• W178116008 abstract "Abstract:The (TBM), first introduced in 1969, has been used in several fields including sociology, economics, marketing, and communication studies to understand of products and innovations, but has received limited attention in information systems (IS) and practice. TBM views as occurring through a combination of innovation (p) and imitation (q). Innovation and imitation describe the extents to which influences external to the population and influences internal to the population respectively affect diffusion. To encourage and enable greater use of TBM in IS and practice, we describe an application process for using TBM and illustrate applications of TBM.Keywords: Model, Diffusion, Information Systems, Innovation, Imitation.(ProQuest: ... denotes formulae omitted.)INTRODUCTIONConsiderable has been conducted on the of innovations (Mahajan & Peterson, 1985; Rogers, 1995; Ruiz Conde, 2008). Two works-Rogers' (1962, 1983) innovation theory and the (TBM) (Bass, 1963, 1969)-have significantly affected and practice. The empirically based innovation theory has received significant attention in information systems (IS) literature (Ilie, Van Slyke, Green, & Lou, 2005; Karahanna, Straub, & Chervany, 1999; Mustonen-Ollila & Lyytinen, 2003; Ramamurthy & Premkumar, 1995), but the mathematically based and empirically supported TBM has been less used. In contrast, TBM-either directly or indirectly (as the mixed influence or through extensions)-has had considerable impact on practice and in numerous fields, including sociology, economics, marketing, and organizational theory.TBM can be used to: a) determine the patterns of IS innovations in a population, b) quantify the spread of IS innovations through the innovation and imitation coefficients, and c) predict the of future IS innovations using information about the spread of similar older innovations-none of which are known for many IS innovations. As IS expenditures continue to rise (e.g., Henderson, Kobelsky, Richardson, & Smith, 2010) and a number of IS innovations continue to be conceived, developed, and deployed in populations comprising organizations, teams, or individuals, it important to plan for and predict diffusion, which TBM can enable.This paper contributes to and practice in the area of of IS innovations by encouraging the use of TBM and its variants. It pursues this goal by describing and illustrating applications of TBM (Bass, 1969). More specifically, we discuss application areas of TBM for IS using examples from literature, analyses of two datasets that we assembled for illustrative purposes, and further use of data from one study that has employed TBM (Teng, Grover, & Guttler, 2002). In addition, we draw on prior TBM literature, including 13 prior IS studies, to highlight ways in which TBM can be used in IS and practice.The remainder of the paper organized as follows. The diffusion research section overviews existing research. The Bass model section describes TBM, and the empirical methods for the model section introduces the estimation and analytical methods for TBM. The review: the Model in information systems research section summarizes prior IS using TBM. The potential applications of the model section illustrates several applications of TBM. The paper ends with a conclusion section.DIFFUSION RESEARCHThe of an innovation has been defined as the process through which innovation is communicated through certain channels over time among the members of a social (Rogers, 1983, p. 5). The innovation could be any idea, practice, or object that new to the members of the social system or population (Mahajan & Peterson, 1985), such as a medicine, an information technology (IT) product, or a software development approach. …" @default.
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• W178116008 title "The Bass Model of Diffusion: Recommendations for Use in Information Systems Research and Practice" @default.
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