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Factors affecting the acceptance of information systems supporting emergency operations centres
Affiliation:1. Department of Chemistry, Siedlce University, 3 Maja 54, 08-110 Siedlce, Poland;2. Institute of Molecule and Crystal Physics, Ufa Research Centre, Russian Academy of Sciences, Prospect Oktyabrya 151, 450075 Ufa, Russia;3. St. Petersburg State University, Uljanovskaja, 1, 198504 St. Petersburg, Russia;4. Bashkir State Pedagogical University, Oktyabrskoy Revolutsii st., 3a, 450000 Ufa, Russia;1. Department of Marketing, Kainan University, No. 1 Kainan Road, Luchu, Taoyuan County 33857, Taiwan;2. Department of International Business, Hsing Wu University, No. 101, Sec. 1, Fenliao Rd., LinKou District, New Taipei City 24452, Taiwan;3. Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei 10607, Taiwan;1. Department of Orthopaedic Surgery, KK Women''s and Children''s Hospital, Singapore;2. Division of Surgery, KK Women''s and Children''s Hospital, Singapore;1. Emerging Markets ResearchCentre (EMaRC), School of Management, Swansea University Bay Campus, Swansea, SA1 8EN, Wales, UK;2. International Business, Marketing and Branding Research Centre, School of Management, University of Bradford, Bradford, UK;3. Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed) University, Pune, India
Abstract:Despite the recognition that information system acceptance is an important antecedent of effective emergency management, there has been comparatively very little research examining this aspect of technology acceptance. The current research responded to this gap in literature by adapting and integrating existing models of technology acceptance. This was done in order to examine how a range of technology acceptance factors could affect the acceptance of emergency operations centre information systems. Relationships between several of these factors were also examined. Questionnaire data from 383 end-users of four different emergency operations centre information systems were analysed using structural equation modelling. This analysis concluded that technology acceptance factors of performance expectancy, effort expectancy, social influence and information quality explained 65 percent of variance in symbolic adoption, which is a combination of mental acceptance and psychological attachment towards an information system. A number of moderating effects of age, gender, experience of use and domain experience were also identified. A mediating component, of performance expectancy, explained 49 percent of variance between facilitating conditions, information quality, effort expectancy, and resulting symbolic adoption. These findings highlight a need to re-focus technology acceptance research on both mediating and moderating effects and the importance of considering domain specific factors. Applied recommendations are also made, for successfully implementing relevant information systems.
Keywords:Technology acceptance  Structural equation modelling  Emergency management  Implementation  Information systems  Organisational change
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