Group value and intention to use – A study of multi-agency disaster management information systems for public safety
This paper examines and extends the theory of information systems success in the context of large-scale management (DM) for public safety. In the recent past, various reports on DM efforts have concluded that information quality and system quality are major hurdles for efficient and effective multi-agency DM and are critical antecedents for information systems (IS) success. In contrast to the wealth of literature on IS success in profit-oriented business environments, research regarding drivers of public sector IS success is scarce. This research develops and empirically tests a model that explains IS usage intention as a reflective measure of IS success in the public sector DM domain. In this paper, the effects of the expected value of IS for the entire group of collaborating DM agencies, task support, user satisfaction, and three specific information/service quality dimensions on usage intention are examined. Data was collected from responders using a questionnaire survey method during multi-agency, cross-national DM exercises at the Dutch German border. The results of the data analysis revealed that expected group value is a key determinant of intention to use in the public sector DM domain. The data analysis also showed that perceived task support only has an indirect effect, through user satisfaction, on the usage intention. These findings imply that previously suggested IS success models for business environments are likely to fall short in their explanatory power and applicability for highly volatile complex environments that require immediate coordinated responses from a large number of organizations. Possible directions for future research are also discussed along with other findings and implications.
The collected data was analyzed using a path analysis technique utilizing PLS Graph software. Path analysis is a regression-based technique that examines causal relationships between multiple, interrelated constructs], each of which is represented by a single-item measure or an aggregated measure.
the study extends previous IS success models by theorizing and empirically validating the effects of expected group valuesecond contribution of the study comes from the examination of relevant information quality (IQ) and systems quality (SQ) attributes expected to play important roles in the management domain
expected group valueintention to useperceived task supportuser satisfactioninformation accessibilityresponse Timelinesstask relevance
empirical testing with analyze of questionnaire survey data collected from professional responders during a series of multi-agency, international management exercises at the Dutch–German border
adopts a survey method to collect data from professional responders participating in multi-agency management exercisesIn parallel to the quantitative data collection also qualitative data were collected before, during, and after the surveyed cross border exercises.
This research is geared toward improvement of IS design for public sector applications. In the process of achieving this objective the study also enhanced our understanding of IS success in the multi-agency management context.
the studied subjects were real management personnel on duty, which limited the time to survey and interview them after the exerciselarge number of stakeholders usually involved in multi-agency management environments makes it extremely difficult to reach a consensus on the measure
The results of the path analysis were graphically presented in the paper.The results of model testing indicate that most of the relationships hypothesized in the proposed model were observable in the collected data.
to close the in the understanding of information systems (IS) success this research develops and empirically tests a model of IS success for the management domain in the public sector
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