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Forecasting Turkish Informatics Valley via Computerised Argument Delphi Technique

Author

Listed:
  • Enes Emen
  • Ercan Salman
  • Gönül Sekendur
  • Şadi Evren Şeker

Abstract

The aim of this study is an actual foresight analysis of Information Valley in Turkey and its social analysis through scientific methodologies and interpretation of its outcomes. Computerized Argument Delphi method has been utilized in order to collect the information from social networks with crowd sourcing approach. The method also supplies the dialectic discussion on the arguments of the contributors. Also the outcomes achieved from the computerized Argument Delphi has been aggregated and evaluation within the technique. This paper covers the details of the methodology, demography of the contributors, outcomes and the meaning of outcomes from the job clustering perspective.

Suggested Citation

  • Enes Emen & Ercan Salman & Gönül Sekendur & Şadi Evren Şeker, 2015. "Forecasting Turkish Informatics Valley via Computerised Argument Delphi Technique," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 113-120, December.
    • Handle: RePEc:anm:alpnmr:v:3:y:2015:i:2:p:113-120
    DOI: http://dx.doi.org/10.17093/aj.2015.3.2.5000144683
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    References listed on IDEAS

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    3. Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
    4. Ewen Peters & Neil Hood, 2000. "Implementing the Cluster Approach," International Studies of Management & Organization, Taylor & Francis Journals, vol. 30(2), pages 68-92, June.
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    More about this item

    Keywords

    Crowd Sourcing; Delphi Technique; Information Valley; Job Clusters; Management Information Systems; Qualitative Forecasting Methods; Social Networks;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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