Applying Analytic Hierarchy Process Methodology in Determining Critical Challenges of Urban Big Data in a Developing City : The Case of Tehran
  • Metaadatok
Tartalom: https://press.mater.uni-mate.hu/918/
Archívum: MATER Press - Egyetemi Kiadványok
Gyűjtemény: ['viewname_eprint_status' not defined] = Megjelent
Szakterület = H Társadalomtudományok: HB Közgazdaságtudomány
Szakterület = H Társadalomtudományok: H Társadalomtudomány általában
['viewname_eprint_types' not defined] = Cikk
Cím:
Applying Analytic Hierarchy Process Methodology in Determining Critical Challenges of Urban Big Data in a Developing City : The Case of Tehran
Létrehozó:
Shojae Anari, Mahla
Jakobi, Ákos
Dátum:
2025-12-15
Téma:
H Társadalomtudomány általában
HB Közgazdaságtudomány
Tartalmi leírás:
Although urban big data holds significant potential for transforming the way cities are managed, harnessing this potential requires overcoming major challenges, particularly in developing countries like Iran. Obstacles like policy gaps, legal barriers, limited resources for data management and infrastructure or even the low level of community engagement and the lack of technological capabilities could backward the development of becoming a real data-driven smart city. This study aims to address the understanding of this issue, by identifying and evaluating urban big data challenges critically, and to formulate policy-related support for governmental bodies in a country considered to be a developing information society. After thorough analysis of academic publications we identified 32 urban big data challenges in Iran, which then were systematically evaluated and ranked by Analytic Hierarchy Process (AHP) methodology based on expert surveys. Outcomes confirmed that although social, educational and financial challenges have been perceived, the most important ones are of political and governmental origin.
Nyelv:
angol
Típus:
Cikk
PeerReviewed
Formátum:
text
Azonosító:
Shojae Anari, Mahla és Jakobi, Ákos (2025) Applying Analytic Hierarchy Process Methodology in Determining Critical Challenges of Urban Big Data in a Developing City : The Case of Tehran. REGIONAL AND BUSINESS STUDIES, 17 (2). pp. 5-15. ISSN 2061-2311
MTMT:36886727 DOI:10.33568/rbs.6914
Kapcsolat:
MTMT:36886727 DOI:10.33568/rbs.6914
Létrehozó:
cc_by_nc_nd_4