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Top1. Introduction
The importance of decision making and information management during crisis response and disaster management has been extensively studied (Comfort, Ko, & Zagorecki, 2004; Fiedrich, Gehbauer, & Rickers, 2000; Van de Walle & Turoff, 2008). While this importance has been established for quite some years, ongoing innovation and developments continue to present new opportunities for innovations to support disaster responders and crisis managers. Due to an ever more connected world, the development of mobile technology and technological advances in the field of computer science and software engineering, new opportunities for information gathering, analysis and dissemination continue to emerge. These innovations emerge through a three-step process of innovation: (1) conception: generating new ideas and possibilities for innovation, (2) development: maturing the innovation from the conception stage to a workable solution and (3) deployment: delivering the innovation to the end users (Pavitt, 2005).
Depending on the specific application, the resulting innovations aim to introduce an improvement in the field of information management, decision support or other disaster management processes. The specific aim or objective differs between innovations, for example new technology may be introduced to improve efficiency of an assessment process, or allow the affected population to communicate, so they can request and offer help to each other. While an innovation has often been designed with a specific aim in mind, the innovation in itself is not sufficient to reach that objective. In order to achieve the intended objectives and leverage the potential, innovations have to be adopted by the user (Damanpour, 1987). Adoption of an innovation, follows according to Rogers (2010) a 5-step process: (1) knowledge: the user is exposed to the innovation, (2) persuasion: the user’s interest is piqued and actively searches out more information, (3) decision: the user weighs the advantages and disadvantages and reaches a decision about acceptance or rejection, (4) implementation, where the user actively deploys and employs an innovation while continuing to determine its usefulness and (5) confirmation: the user finalizes the decisions for continued use of the innovation.
The processes of innovation development and innovation adoption are not disconnected, and innovation processes are increasingly a collaborative effort between developers and (potential) users (Aldrich, 2003; Rogers, 2010). Research, amongst others by Abrahamson (1991), illustrates the importance of user involvement in the development of innovations to increase the likelihood of adoption. In these cases the adoption process does not start after the innovation process but happens simultaneously.
Combining the innovation development and user adoption processes, we can identify different possibilities for a connection between the innovation process and the user adoption stages. As shown in Figure 1, involving the user in the innovation development process can be realized through the organization of specific user centered activities. Depending on the specific stage in the innovation development and user adoption process, we can distinguish different types of activities that support collaboration and alignment between the two processes.
Figure 1. User centered activities in development and adoption process