Khan, M I; Khan, S; Khan, U and Haleem, A (2023) Modeling the big data challenges in context of smart cities: an integrated fuzzy ISM-DEMATEL approach. International Journal of Building Pathology and Adaptation, 41(2), pp. 422-453. ISSN 23984708
Abstract
Purpose: Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships. Design/methodology/approach: The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL). Findings: Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities. Research limitations/implications: This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities. Originality/value: This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | big data; challenges; fuzzy DEMATEL; fuzzy interpretive structural modelling; smart cities; sustainability |
| Index terms: | modelling, methodology, integration, decision-making, planner, integrated approach, population, implementation, laboratory, big data, practitioner, smart city, literature review, face, interpretive structural modelling |
| Subjects: | practitioner, analytical methods, research management, information systems, research methods, profession, data analysis and analytics, contractual arrangements, decision analysis, psychology, organizational analysis, demography, urban sustainability |
| Topics: | Digital Applications, Organizational Design, Research Practice, Roles and Professions, Engineering Principles, Urban Studies, Risk Management, Procurement |
| Descriptive scope: | 4 PCTA |
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