Community based innovation: its antecedents and its impact on innovation success.
ABSTRACT Purpose – This paper aims to combine Mäkipää et al., Füller et al., and Ahonen et al. with regard to CBI ideas, and applies them to the new product development process of the firm. The main research links user innovation and commercialization, and the discussion between the members creates centripetal and condensation strengthening factors. A complete model is developed for empirical testing. Design/methodology/approach – The sample is 143 participants from five online communities of firms operating in Taiwan, namely Microsoft, Working House, Inventec Corporation, Hometec Technology Inc., and Asustek Computer Inc., that were contacted and asked to participate in the study. Data were collected from March 19 to May 31, 2008 via the web for internet users using a standardized questionnaire. Excluding those surveys that were undeliverable and those who believed that it was inappropriate to respond, the overall effective response rate was 87 percent (125 of 143). Findings – This research proposes four other factors to promote the member participation CBI degree effectively, and further affects them to participate in the company's desire for three stages of new product development. But studies regarding the participation product concepts and design stage also find the members comparatively are not interested. Finally, a complete model is developed for empirical testing. It seems to be a promising source of innovation capabilities for new product development. Research limitations/implications – The focus in this study is on how the integration of community members into new product development using the community based innovation method leads to encouraging results. Nevertheless, it is difficult to claim its general usability. So far, there is no study indicating the effectiveness and efficiency of CBI for ongoing, continued consumer integration. Then studies concerning the impact of CBI on innovation success are just beginning, and are restricted to the initial findings of a few case studies. Therefore, the actual market impacts of co-developed products has not been tested on a large scale, as most of the CBI projects have not been carried to the point of testing the innovations in an actual marketplace. Originality/value – The main contribution of the CBI method lies in the systematic utilization of the existing, but so far merely exploited, innovative potential of online communities. However, none of the previous studies have integrated these variables into a more comprehensive framework. A complete model is developed for empirical testing. And the discussion between the members creates centripetal and condensation strengthening factors. The main research links user innovation and commercialization.
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ABSTRACT: The prediction of new product success is still a challenging task. Traditional market research tools are expensive, time consuming, and error prone. Prediction markets have been introduced as a viable alternative. Utilizing inputs from various participants in game-like environments, they have been shown to produce accurate results by combining dispersed knowledge via market-based aggregation mechanisms. While most previous studies use employees or experts as a sample, we test whether online consumer communities can be used to predict the sale of new skis via prediction markets. Sixty-two users took part in the study. The prediction market was open for 12 days before the main skiing season 2010/2011 began. The outcomes of the prediction markets were compared with the actual sales numbers provided by the ski producers. The mean average errors were between 2.74% and 9.09% in the four markets. Overall, it can be concluded that the prediction markets based on consumer communities produce accurate results.R& D Management 07/2013; 43(5):420-432. · 2.51 Impact Factor
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ABSTRACT: Purpose ‐ Bridging indistinct relationships and online loyalty has become an important strategy for online interest-based communities' operators and firms. The objective of this study is to draw on the elaboration likelihood model (ELM) to advance our understanding of the influences on the development of relationship quality and the consequent impact on members' loyalty to online communities. Design/methodology/approach ‐ To test the hypotheses the authors identified and selected four interest-based online communities in Taiwan. The online survey yielded 331 completed questionnaires from members of interest-based online communities and the authors analysed the results using the structural equation modelling approach. Findings ‐ The findings show that argument quality and source credibility positively affect members' perceived relationship quality, which has a positive and significant effect on behavioural loyalty, and personal relevance and user expertise positively moderate the relationship between argument quality and relationship quality and negatively moderate the relationship between source credibility and relationship quality. Research limitations/implications ‐ While this study has produced meaningful insights for investigating the informational processing influences on relationship quality and subsequent behavioural loyalty through the ELM perspective, the samples may not allow researchers to draw more general conclusions across different types of community contexts. The data were collected only from interest-based communities. Examining this model across different types of online communities, such as transaction-, relationship-, or fantasy-based ones, would help establish the generalisability of these results beyond the current context. Practical implications ‐ The present study can help managers of online communities recognise the differential effects of these information processes across a user population and customise optimal strategies that best fit the unique characteristics of their community members. For making argument quality more convincing, Toulmin's (1958) model of argumentation could serve as an appropriate mechanism. Moreover it is crucial to provide various indicators of source credibility for information content. Originality/value ‐ The paper addresses a gap in the research by using ELM to better understand the influences on the development of relationship quality and the impact on members' loyalty. Understanding these dynamics is critical since it: enriches the relationship marketing and information management literature by addressing the role of information content in the management and success of online communities; helps online community managers customise optimal strategies for their members, thereby fostering members' loyalty and their platform's competitive advantage; and illuminates two influential processes that can achieve the desired attitude change in the context of online communities.Online Information Review 09/2013; 37(5). · 1.44 Impact Factor
- Proceedings of the 17th Pacific Asia Conference on Information Systems; 01/2013