Community based innovation: its antecedents and its impact on innovation success.

Internet Research (Impact Factor: 1.64). 01/2009; 19:496-516. DOI: 10.1108/10662240910998887
Source: DBLP

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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    • "To test our hypotheses we identified and selected four interest-based online communities in Taiwan, including Fashion Guide, Map Diary, DCView, and several software development discussion communities, such as Microsoft MSDN (Chu and Chan, 2009). Data were collected using an online survey questionnaire sent to members of several well-known interest-based online communities. "
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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). DOI:10.1108/OIR-01-2011-0220 · 1.44 Impact Factor
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    ABSTRACT: VTT Tiedotteita - Research Notes 2552 The importance of user orientation in innovation activities is nowadays emphasized not only in business life but also in political and societal discussions. In today's competed and changing market situations, one promising way to support market success are innovations originating from the needs of the customers. The traditional division to product-oriented and service-oriented business is blurring as traditional products are equipped with service elements that bring additional value to customers. Service orientation in business changes the connection to the customers: it is not enough to be able to sell the product to the customer once but the service customer has to be kept satisfied every day. Service providers need to know their customers better and to offer them better possibilities to be involved in service development. In this report we present a review of the current state of the art in user involvement in service innovations. The review is based on three different research viewpoints: marketing and business research, human-centred design and media research. In each of these research fields we can see a similar trend of changing the attitude towards users; from passive research object to an active design partner, potential resource and co-producer. The transition from product design to service design requires that design and usage should be more firmly connected - the design does not end when the service is launched but the design continues in use where the users are creating content for the service. The users shape usage practises in actual use and this may indicate needs to refine the service. That is why service providers should have good channels to monitor the users and to listen to their ideas and feedback. In addition to user involvement in the actual design process and during use, users should increasingly be involved also in early innovation phases, in ideating what kinds of services should be designed for them and with them. Different users can give different contributions to service innovation and their motivations and preferred ways to participate vary. Different roles in the innovation process should be available to user groups such as lead users, ordinary users, advanced users, critical users and non-users. User communities are increasingly important sources of innovations, either existing communities or new communities that are grown around the service. Customer interaction may shorten the development cycle and improve the quality of innovations. Successful user involvement, however, requires that the organisation has methods and processes to gather and analyse user data as well as to integrate user data in the design process. User involvement is especially useful in the early stages of service development processes due to their high uncertainty and low formalisation. Direct user-designer interaction helps in transferring user feedback and ideas to service innovations. Designers' direct interaction with users is also beneficial as it seems to change designers' mindset smoothly from technical features to user experience, thus boosting better designs. User experience of the service is improved when users themselves can contribute to developing the service.
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    ABSTRACT: Although administrators of online communities (OCs) may focus on improving their OCs through upgrading technology and enhancing the usability of their OCs to attract additional users, the level of OC participation may be associated with social motives. The purpose of this study is to understand how social motivations (that is, network externalities and social norms) affect members committed to OCs. This study tests the hypotheses on data collected from 396 undergraduate students. Data analyses show that network externalities and social norms directly influence social interaction ties, which subsequently results in commitment toward a community. Social norms also directly influence relationship commitments to a community. The results provide insights into how social motivations lead to commitment to an OC, reminding OC administrators to encourage member commitment to the OC from the perspective of social motivations.
    Computers in Human Behavior 03/2012; 28(2):570-575. DOI:10.1016/j.chb.2011.11.002 · 2.69 Impact Factor