IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-77083-9_6.html
   My bibliography  Save this book chapter

Technology and ‘Generation Next’ Business

In: Crowd-Based Business Models

Author

Listed:
  • Rajagopal

    (Tecnologico de Monterrey)

Abstract

Information technology is increasingly changing, which is providing more options in business modeling and implication of strategies involving stakeholders and market players. Crowdsourcing is emerging as a customer-centric tool through which firms develop and commercialize innovation. In view of the attributes of collective intelligence, this chapter discusses the critical role of social media and the digital interactions in collective business modeling using various technology platforms. This chapter discusses critically the role of social media in developing crowd-based business projects by explaining the transitions of crowd-based information to drive corporate decisions. Effects of emotions and personality of customers and investors in the crowd-based businesses are also discussed in this chapter. The discussions in this chapter also focus on the crowd-based innovation approaches in the context of transferability of innovations, ambidexterity, and commercialization of frugal innovations. Discussions on organizational design and digital transformation are also central to this chapter.

Suggested Citation

  • Rajagopal, 2021. "Technology and ‘Generation Next’ Business," Springer Books, in: Crowd-Based Business Models, chapter 0, pages 163-196, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-77083-9_6
    DOI: 10.1007/978-3-030-77083-9_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Keck, Felix & Jütte, Silke & Lenzen, Manfred & Li, Mengyu, 2022. "Assessment of two optimisation methods for renewable energy capacity expansion planning," Applied Energy, Elsevier, vol. 306(PA).
    2. Berry, Christopher & Douglas Hoffman, K., 2023. "Communicating intent: Effects of employer-controlled tipping strategy disclosures on tip amount and firm evaluations," Journal of Business Research, Elsevier, vol. 160(C).
    3. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2024. "Applying the root cause analysis methodology to study the lack of market success of micro gas turbine systems," Applied Energy, Elsevier, vol. 360(C).

    More about this item

    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:spr:sprchp:978-3-030-77083-9_6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.