Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1377999.1378013 | Mobile HCI |
Keywords | Field | DocType |
mobile business context,business process,construction site,productivity measure,existing measure,multidisciplinary measurement tool,measurement tool,efficient work process,case study,mobile business service,productivity,measurement,usability,questionnaire | Services computing,Industrialization of services business model,Multidisciplinary approach,Business process,Usability engineering,Mobile business development,Usability,Usability goals,Knowledge management,Business | Conference |
Citations | PageRank | References |
5 | 0.46 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maiju Markova | 1 | 7 | 1.18 |
| Anne Aula | 2 | 681 | 39.20 |
| Teija Vainio | 3 | 183 | 17.07 |
| Heli Wigelius | 4 | 44 | 3.21 |
| Minna Kulju | 5 | 87 | 8.42 |