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eneration and problem solving (Tushman and O'Reilly, 1997), rapid information process and fast decision making (Eisenhardt and Tabrizi, 1995), new information is acquired from competitors (Tushman and O'Reilly, 1997) and customers (Drucker, 1998) and connected with existing knowledge (Galbraith, 1982) to create new product/processes. Implementation involves activities surrounding the adoption and assimilation of innovations designed and developed during the ‘development' stage. Process and product redesign leads to changes in different processes and control systems (Davenport, 1993), effective and reasonably strict control systems are required for efficiently accomplishing the administration and co-ordination activities necessary for implementation of the innovation (Galbraith, 1982).

Innovating with IT, according to Swanson and Ramiller (2004), is a journey that involves four core processes: comprehension, adoption, implementation, and assimilation. First, organizations collect and interpret information from their environments about the existence and basic idea of an IT innovation. Second, this comprehension effort informs organizations' decisions on whether to adopt the innovation, plus the articulation of supporting rationales. Third, where adoption is actually pursued, the innovation is deployed—hardware and software are installed, business processes are changed, users are trained, and so on. Fourth, in due course the innovation becomes assimilated into the routines of organizational work systems. Wang and Ramiller (2009) further define IT innovation as an information technology perceived as new by the adopting organization (Rogers 2003; Swanson 1994). Their perspective on innovation is oriented towards adopters and organizations innovate with IT by applying new IT to their business processes. Therefore, in this research, enterprise systems innovation could be defined as enterprise systems that comprised an integrated planning and resource management system that coordinates information across all enterprise functions (Bendoly et al, 2008) and the capability of the systems to provide valuable information for managements in determining the business and information strategy of an organization.

In recent years, there are a number of researches that examine the organizational adoption of IS/IT, IT payoff and its impact on organizational performance. IT adoption contributes to various competing models that have been tested in several industries (either services or non-services) and are different in terms of methodological approach, conceptual models and constructs, such as a research model on user acceptance of citation database interface (Lin et.al, 2009), mobile wireless (Kim et.al, 2009; Qi et.al, 2009), internet banking (Lee, 2009a), online trading (Lee, 2009b) and more. Indeed, there are various literatures on IT adoption and acceptance among researchers (Gallivan, 2001; Rogers, 2003; Swanson et.al, 2004; Zhu, Kraemer and Xu, 2006, Qi et al, 2009; Kim and Garrison, 2009) and IT-payoff (Brynjolfsson, 1996; Bharadwaj et. al, 2000; Devaraj et. al, 2000). Within this broad area of investigation, there are several streams of research. One stream of research focuses on individual acceptance of technology by using behavioural intention as a dependent variable (e.g Davis et.al, 1989; Bhattacher本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。