IDEAS home Printed from https://ideas.repec.org/a/idt/journl/cs8904.html
   My bibliography  Save this article

Crowdsourcing for Device Manufacturers in the Convergent Media Industry

Author

Listed:
  • Jaeheung YOO

    (Department of Internet Business, Kosin University, Republic of Korea)

  • Kibaek LEE

    (Korea Advanced Institute of Science & Technology (KAIST))

  • Munkee CHOI

    (Korea Advanced Institute of Science & Technology (KAIST))

Abstract

Crowdsourcing has been distinguished as an effective means of open innovation for collecting creative ideas from people who have various degrees of expertise and diversity in knowledge. Online platforms enable open innovation using the crowd in an efficient way in terms of cost and time management. Manufacturers in the convergent media industry have recently adopted crowdsourcing activities because understanding the variety of customers' hidden needs and identifying new market opportunities has become more critical to maintain a competitive edge in the market. However, it is difficult to empirically verify the effect of crowdsourcing activities on the market success of these device manufacturers. As such, this paper attempts to validate the effectiveness of crowdsourcing through qualitative studies including a literature review and case study analyses. As a result of the evaluations, several practical guidelines on how to integrate crowdsourcing into new product development processes are suggested for firms.

Suggested Citation

  • Jaeheung YOO & Kibaek LEE & Munkee CHOI, 2013. "Crowdsourcing for Device Manufacturers in the Convergent Media Industry," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(89), pages 73-93, 1st quart.
  • Handle: RePEc:idt:journl:cs8904
    as

    Download full text from publisher

    File URL: http://repec.idate.org/RePEc/idt/journl/CS8904/CS89_YOO_LEE_CHOI.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baldwin, Carliss & Hienerth, Christoph & von Hippel, Eric, 2006. "How user innovations become commercial products: A theoretical investigation and case study," Research Policy, Elsevier, vol. 35(9), pages 1291-1313, November.
    2. Cooper, Robert G., 1990. "Stage-gate systems: A new tool for managing new products," Business Horizons, Elsevier, vol. 33(3), pages 44-54.
    3. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kibaek Lee & Jaeheung Yoo & Munkee Choi & Hangjung Zo & Andrew P Ciganek, 2016. "Does External Knowledge Sourcing Enhance Market Performance? Evidence from the Korean Manufacturing Industry," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    2. Kibaek Lee & Jaeheung Yoo, 2019. "How does open innovation lead competitive advantage? A dynamic capability view perspective," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-18, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klaudia Bracio & Marek Szarucki, 2020. "Mixed Methods Utilisation in Innovation Management Research: A Systematic Literature Review and Meta-Summary," JRFM, MDPI, vol. 13(11), pages 1-27, October.
    2. Michael G. Jacobides & Sidney G. Winter, 2012. "Capabilities: Structure, Agency, and Evolution," Organization Science, INFORMS, vol. 23(5), pages 1365-1381, October.
    3. Aaron K. Chatterji & Kira Fabrizio, 2012. "How Do Product Users Influence Corporate Invention?," Organization Science, INFORMS, vol. 23(4), pages 971-987, August.
    4. Patsali, Sofia, 2024. "University procurement-led innovation: Sources, procedures, and effects. Some field-study evidence," Technovation, Elsevier, vol. 130(C).
    5. Narayanan, V.K. & Chen, Tianxu, 2012. "Research on technology standards: Accomplishment and challenges," Research Policy, Elsevier, vol. 41(8), pages 1375-1406.
    6. Gabriel A. Giménez Roche & Didier Calcei, 2021. "The role of demand routines in entrepreneurial judgment," Small Business Economics, Springer, vol. 56(1), pages 209-235, January.
    7. Aaron K. Chatterji & Kira R. Fabrizio, 2014. "Using users: When does external knowledge enhance corporate product innovation?," Strategic Management Journal, Wiley Blackwell, vol. 35(10), pages 1427-1445, October.
    8. Arman Avadikyan & Gilles Lambert & Christophe Lerch, 2016. "A Multi-Level Perspective on Ambidexterity: The Case of a Synchrotron Research Facility," Working Papers of BETA 2016-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    10. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    11. Grillitsch, Markus & Asheim, Björn & Fünfschilling, Lea & Kelmenson, Sophie & Lowe, Nichola & Lundquist, Karl Johan & Mahmoud, Yahia & Martynovich, Mikhail & Mattson, Pauline & Miörner, Johan & Nilsso, 2023. "Rescaling: An Analytical Lense to Study Economic and Industrial Shifts," Papers in Innovation Studies 2023/11, Lund University, CIRCLE - Centre for Innovation Research.
    12. Verena Brinks, 2016. "Situated affect and collective meaning: A community perspective on processes of value creation and commercialization in enthusiast-driven fields," Environment and Planning A, , vol. 48(6), pages 1152-1169, June.
    13. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    14. Oliver Falck & Anita Fichtl & Tobias Lohse & Friederike Welter & Heike Belitz & Cedric von der Hellen & Carsten Dreher & Carsten Schwäbe & Dietmar Harhoff & Monika Schnitzer & Uschi Backes-Gellner & C, 2019. "Steuerliche Forschungsförderung: Wichtiger Impuls für FuE-Aktivitäten oder zu wenig zielgerichtet?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(09), pages 03-25, May.
    15. Silverberg, Gerald & Verspagen, Bart, 2002. "A Percolation Model of Innovation in Complex Technology," Research Memorandum 032, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    16. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    17. Carolina Castaldi & Roberto Fontana & Alessandro Nuvolari, 2009. "‘Chariots of fire’: the evolution of tank technology, 1915–1945," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 545-566, August.
    18. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    19. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    20. Luigi Orsenigo & Fabio Pammolli & Massimo Riccaboni & Andrea Bonaccorsi & Giuseppe Turchetti, 1997. "The Evolution of Knowledge and the Dynamics of an Industry Network," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 1(2), pages 147-175, June.

    More about this item

    Keywords

    crowdsourcing; convergent device; open innovation; new product development; user innovation.;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:idt:journl:cs8904. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: BLAVIER Thomas (email available below). General contact details of provider: https://edirc.repec.org/data/idatefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.