Forecasting Turkish Informatics Valley via Computerised Argument Delphi Technique

Enes Emen, Ercan Salman, Gönül Sekendur and Şadi Evren Şeker

Alphanumeric Journal, 2015, vol. 3, issue 2, 113-120

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.

Keywords: Crowd Sourcing; Delphi Technique; Information Valley; Job Clusters; Management Information Systems; Qualitative Forecasting Methods; Social Networks (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:3:y:2015:i:2:p:113-120

DOI: 10.17093/aj.2015.3.2.5000144683

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