MoBiS-Q: a tool for evaluating the success of mobile business services

M Markova, A Aula, T Vainio, H Wigelius… - Proceedings of the 9th …, 2007 - dl.acm.org
M Markova, A Aula, T Vainio, H Wigelius, M Kulju
Proceedings of the 9th international conference on Human computer …, 2007dl.acm.org
Companies deploy mobile business services to enable efficient work processes and gain
increases in productivity. However, the success of the services in fulfilling these goals
depends on several factors from the usability of the service to its success in supporting the
business processes of the companies. This paper reviews existing measures for the usability
of services and measures for evaluating the effects of mobile business services on the
productivity of the company. We discuss the usefulness of the existing measures in the …
Companies deploy mobile business services to enable efficient work processes and gain increases in productivity. However, the success of the services in fulfilling these goals depends on several factors from the usability of the service to its success in supporting the business processes of the companies. This paper reviews existing measures for the usability of services and measures for evaluating the effects of mobile business services on the productivity of the company. We discuss the usefulness of the existing measures in the mobile business context, where both mobility and work-context pose specific demands for the services. The review showed that existing measures rarely consider the great contextual variation caused by mobility of the services and the demands this poses on usability; which, in turn, affects productivity. To build a measurement tool that better meets the requirements of mobile business services, we completed case studies on two mobile business services, one used in passenger transport and the other in construction sites. Based on the understanding gained from the case studies, we propose a list of themes addressing both usability and productivity measures that work as the basis for a multidisciplinary measurement tool, MoBiS-Q.
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