Fostering Collaboration by Location-Based Crowdsourcing

  • Christine Bauer
  • Andreas Mladenow
  • Christine Strauss
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8683)

Abstract

Crowdsourcing is a recently developed method that relies on various alternatives of collaboration to solve problems efficiently. Crowdsourcing is a recent development to solve a variety of problems efficiently, and which implies various alternatives of collaboration. However, as novel technologies are able to exploit location-sensing capabilities of mobile devices, location-based crowdsourcing (LBCS) developed as a new concept. This paper suggests a typology for LBCS as a means for fostering collaboration with the crowd through three types of LBCS: confirmation-based, digital good-based, and physical-based. Each type is underpinned with exemplary applications. Furthermore, opportunities and challenges are analysed; and future trends in LBCS are discussed.

Keywords

Location-based Crowdsourcing LBCS Collaboration Collaborative Crowdsourcing Time-dependency Location-dependency Typology Social Communities Mobile Crowdsourcing Applications 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bayus, B.L.: Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community. Manage. Sci. 59, 226–244 (2013)CrossRefGoogle Scholar
  2. 2.
    Hammon, L., Hippner, H.: Crowdsourcing. Bus Inform. Syst. Eng. 4, 163–166 (2012)CrossRefGoogle Scholar
  3. 3.
    Mladenow, A., Bauer, C., Strauss, C.: Social Crowd Integration in New Product Development: Crowdsourcing Communities Nourish the Open Innovation Paradigm. Global Journal of Flexible Systems Management 15, 77–86 (2014)CrossRefGoogle Scholar
  4. 4.
    Howe, J.: The rise of crowdsourcing. Wired 14, 176–183 (2006)Google Scholar
  5. 5.
    Babbage, C.: On the Economy of Machinery and Manufactures. Knight, London (1831)Google Scholar
  6. 6.
    Alt, F., Shirazi, A.S., Schmidt, A., Kramer, U., Nawaz, Z.: Location-based crowdsourcing: Extending crowdsourcing to the real world. In: NordiCHI 2010, pp. 13–22. ACM, New York (2010)Google Scholar
  7. 7.
    Väätäjä, H., Vainio, T., Sirkkunen, E.: Location-Based Crowdsourcing of Hyperlocal News: Dimensions of Participation Preferences. In: 17th ACM International Conference on Supporting Group Work (GROUP 2012), pp. 85–94. ACM, New York (2012)CrossRefGoogle Scholar
  8. 8.
    Marinez-Moyano, I.J.: Exploring the Dynamics of Collaboration in Interorganizational Settings. In: Schuman, S. (ed.) Creating a Culture of Collaboration: The International Association of Facilitators Handbook, pp. 69–86. Jossey-Bass, San Francisco (2006)Google Scholar
  9. 9.
    Wood, D.J., Gray, B.: Towards a comprehensive Theory of Collaboration. J. Appl. Behav. Sci. 27, 139–162 (1991)CrossRefGoogle Scholar
  10. 10.
    Kittur, A.: Crowdsourcing, Collaboration, and Creativity. ACM Crossroads 17, 22–26 (2010)CrossRefGoogle Scholar
  11. 11.
    Horton, J.J., Chilton, L.B.: The labor economics of paid crowdsourcing. In: 11th ACM Conference on Electronic Commerce (EC 2010), pp. 209–218. ACM, New York (2010)Google Scholar
  12. 12.
    Gassmann, O., Daiber, M., Muhdi, L.: Der Crowdsourcing-Prozess. In: Gassmann, O. (ed.) Crowdsourcing: Innovationsmanagement mit Schwarmintelligenz, pp. 31–55. Hanser, Munich (2010)CrossRefGoogle Scholar
  13. 13.
    Brabham, D.C.: Crowdsourcing as a Model for Problem Solving: An Introduction and Cases. Convergence: The International Journal of Research into New Media Technologies 14, 75–90 (2008)Google Scholar
  14. 14.
    Afuah, A., Tucci, C.L.: Crowdsourcing as a Solution to Distant Search. Academy of Management Review 37, 355–375 (2012)CrossRefGoogle Scholar
  15. 15.
    Bentley, F., Cramer, H., Müller, J.: Beyond the bar: the places where location-based services are used in the city. Personal Ubiquit Comput. (2014)Google Scholar
  16. 16.
    Celino, I., Cerizza, D., Contessa, S., Corubolo, M.: Urbanopoly: a Social and Location-based Game with a Purpose to Crowdsource your Urban Data. In: 4th IEEE Workshop on Social Media for Human Computation (SocialCom 2012), pp. 910–913. IEEE, New York (2012)Google Scholar
  17. 17.
    Goodchild, M.F., Glennon, J.A.: Crowdsourcing geographic information for disaster response: a research frontier. Int. J. Digit. Earth 3, 231–241 (2010)CrossRefGoogle Scholar
  18. 18.
    Pelzer, C., Wenzlav, K., Eisfeld-Reschke, J.: Crowdsourcing Report 2012: Neue digitale Arbeitswelten. epubli GmbH, Berlin (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Christine Bauer
    • 1
  • Andreas Mladenow
    • 2
  • Christine Strauss
    • 2
  1. 1.Department of Information Systems & OperationsVienna University of Economics and BusinessViennaAustria
  2. 2.Department of eBusinessUniversity of ViennaViennaAustria

Personalised recommendations