Authors:
Petteri Alahuhta
;
Pekka Abrahamsson
and
Antti Nummiaho
Affiliation:
VTT Technical Research Centre of Finland, Finland
Keyword(s):
Mobile service, technology foresight, user innovation, open innovation, lead-user innovation.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
M-Business and Ubiquitous Services
;
Mobile Services and Architectures
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Services Science
;
Software Agents and Internet Computing
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Telecommunications
;
User Interfaces and Usability
;
Web and Mobile Business Systems and Services
;
Web Services
;
Wireless Information Networks and Systems
Abstract:
Lead user driven innovation and open innovation paradigms seek to involve consumers and common people to innovative product development projects. In order to help developers choose ideas that meet the end users’ needs, we undertook a massive collaborative research effort and collected 40,000 ideas from 2,150 common people about future mobile services that they would like to use. We inspired each people to produce tens of mobile service ideas. In this paper we carry out an analysis for 4,000 ideas from the idea database. We had a particular interest in whether peoples’ ideas can be used in foreseeing the technology development needs. The results show that end users produce ideas that are conservative more than novel. Therefore, we claim that consumers’ technology foresight horizon is limited by the existing technological base. The second finding, linked to the previous one, is that the great majority of the ideas that consumers expressed could be realised utilizing existing technologi
es. The implication of this finding is that the idea database should be an interesting source of ideas for service developers. The third finding of the study, related to the methodology, is that a vast number of ideas can be collected fairly easily but analyzing them cost effectively is a challenge.
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