the contribution of different online communities in open innovation projects
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The Contribution of Different Online Communities in Open Innovation Projects. Michael A. Zeng Helmut-Schmidt-University Hamburg Institute of Technology and Innovation Management Prof. Dr. Hans Koller. Agenda. Research Questions Empirical Field Method Findings Future Research. - PowerPoint PPT PresentationTRANSCRIPT
The Contribution of Different Online Communities in Open Innovation Projects
Michael A. ZengHelmut-Schmidt-University Hamburg
Institute of Technology and Innovation ManagementProf. Dr. Hans Koller
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Agenda
1. Research Questions2. Empirical Field3. Method4. Findings5. Future Research
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Motivation
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Research Questions
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Idea generation Screening Development Testing Launch
How do brand communities and innovation communities differ?
How could they be used best in new product development processes?
Innovation community Brand community
? ? ?
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Empirical Field
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Innovation community Brand community
powered by
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Method: Sample
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Company Business area Number of employees
unserAller Project
α Jewelry eight Ring; collection set β Hosiery/ legwear three Garter for Oktoberfestγ Restaurant ten Wafer toppingδ Restaurant two Breakfast; business lunchε Fashion two Belt ζ Town planning two Suggestions for donationsη Cosmetic two Face care set θ Public bath one Suggestions to renew a public bathι Distillery three Carnival liqueurκ Social aid programs two Language application
Michael A. Zeng The Contribution of Different Online Communities in Open Innovation Projects
Method: Research design
July 28, 20147
Interview guideline developed
Interviews conducted
Interviews transcribed using the software F5
Category system developed (qualitative content analysis (Mayring 2010))
Interviews categorized in MaxQDA Inter-rater reliability: 89%
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Findings
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Idea generation Screening Development Testing Launch
Innovation communityo n c r o w d s o u r c in g p la tf o r m
Innovation communityon crowdsourcing platform
Brand loyalty
Innovative members
Ope
nin
nova
tion
proc
ess
Marketing effect
Would be best to bring the potential of both communities together in a harmonized form
Brand communityo n s o c ia l n e t w o r k
Brand communityon social network
Idea generation Screening Development Testing Launch
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Future Research
• Does this harmonized strategy work with a larger sample? And how?
• What about other fields? More complex products or processes?
• Brand communities with stronger social relations than among Facebook fans?
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Thank you! Questions?
ContactMichael ZengHelmut-Schmidt-University/ University of the Federal Armed Forces HamburgInstitute of Technology and Innovation ManagementHolstenhofweg 8522043 HamburgGermany
+49 40 6541 [email protected]
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BACKUP
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Findings
July 28, 2014
Idea generation Screening Development Testing Launch
Innovation communityo n c r o w d s o u r c in g p la tf o r m
Innovation communityon crowdsourcing platform
Brand loyalty
Innovative members
Ope
nin
nova
tion
proc
ess
Marketing effect
Would be best to bring the potential of both communities together in a harmonized form
Brand communityo n s o c ia l n e t w o r k
Brand communityon social network
Idea generation Screening Development Testing Launch
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Characteristics of a BC on FB
According to Loewenfeld (2006):
• Non-geographical
• Based on interests
• offline and/or online
• Admirer of the brand
• Interaction
• Sense of community/ corporate feeling
• Connection of values and needs
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Example
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Example
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References
• Chesbrough, H. W. (2006). Open Business Models: How to Thrive in the New Innovation Landscape. Boston, MA: Harvard Business School Press.
• Füller, J., Matzler, K., & Hoppe, M. (2008). Brand community members as a source of innovation. Journal of Product Innovation Management, 25(6), 608–619.
• Janzik, L., & Raasch, C. (2011). Online communities in mature markets: Why join, why innovate, why share? International Journal of Innovation Management, 15(04), 797–836.
• Mayring, P. (2010). Qualitative Inhaltsanalyse: Grundlagen und Techniken (11th ed.). Weinheim: Beltz.
• Kim, A. J. (2000). Community Building on the Web: Includes Index. Berkeley, CA: Peachpit Press. • Möslein, K. M., Reichwald, R., & Kölling, M. (2011). Open innovation in der
Dienstleistungsgestaltung. WSI Mitteilungen, 64(9), 484–490.• Muniz Jr., A.M., and O’Guinn, T.C. (2001). Brand Community. Journal of Consumer Research. 27, 4,
412–432.• Ollila, S., & Elmquist, M. (2011). Managing open innovation: Exploring challenges at the interfaces
of an open innovation arena. Creativity and Innovation Management, 20(4), 273–283.• Shani, A. B., Sena, J. A., & Olin, T. (2003). Knowledge management and new product development:
A study of two companies. European Journal of Innovation Management, 6(3), 137–149.• Schau, H. J., Muniz Jr., A. M., & Arnould, E. J. (2009). How Brand Community Practices Create
Value. Journal of Marketing(73)5, 30-51.• Schroll, A., & Römer, S. (2011). Open Innovation heute: Instrumente und Erfolgsfaktoren.
Zeitschrift für Information Management und Consulting, 26(1), 58–64.
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Theoretical Background: Online Communities
• Online communities: – Individuals with same interests or common goals– Discussion via an Internet platform, especially Web 2.0(Janzik, Raasch 2011; Kim 2000)
• Innovation communities: – Include Lead User characteristics and innovative skills– Ideas are collaboratively developed and discussed(Janzik, Raasch 2011; Shani, Sena, Olin 2003)
• Brand communities: – Strong connection to the brand and/or the product– Can be used as innovation sources(Schau, Muniz, Arnould 2009; Janzik, Raasch 2011; Muniz, O’Guinn 2001; Füller, Matzler, Hoppe 2008)
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• Self-designed platform– Better to control– Community is smaller(Schroll, Römer 2011)
• Third party platforms:– Innovation intermediary
• Helps other companies to implement open innovation into their business
• Two-sided market between innovator and inventor
(Schroll, Römer 2011, Chesbrough 2006; Möslein, Reichwald, Kölling 2011; Ollila, Elmquist 2011)
– Social media• Low-cost possibility to connect with
users• Critical mass cannot always be
reached(Schroll, Römer 2011)
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Theoretical Background: Online Community Platforms
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Method and Data: Interview Procedure
• Informed via email about the research project• 5 interviews personally at the company• 5 telephone interviews• Interview guideline ensured that the obtained data was comparable• Rather guided conversations, open-ended, and held in German• Tape-recorded• Conducted between August and September 2012• The length of an interview ranged between ten minutes and one hour with an
average duration of forty minutes• Audio files were transcribed with the software F5• Topics of the interview guideline:
– Experiences with open innovation and unserAller– Comparison with their brand community– Influence of open innovation on their product development process
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Method and Data: Evaluation Procedure
• Evaluated with a self-developed category system, based on Mayring’s (2010) qualitative content analysis– Inductive and deductive category generation– Five categories:
• Open innovation in general• Social media/ unserAller• Impact of customer integration• Growth• Future
• Interviews were coded with the software MaxQDA• Inter-rater reliability with an arithmetic mean of 88.75 %
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