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MoBiS-Q: a tool for evaluating the success of mobile business services
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Source ACM International Conference Proceeding Series; Vol. 309 archive
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services table of contents
Singapore
Pages 238-245  
Year of Publication: 2007
ISBN:978-1-59593-862-6
Authors
Maiju Markova  Tampere University of Technology, Tampere, Finland
Anne Aula  Tampere University of Technology, Tampere, Finland
Teija Vainio  Tampere University of Technology, Tampere, Finland
Heli Wigelius  Tampere University of Technology, Tampere, Finland
Minna Kulju  VTT, Tampere, Finland
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Maiju Markova: colleagues
Anne Aula: colleagues
Teija Vainio: colleagues
Heli Wigelius: colleagues
Minna Kulju: colleagues