Smart City Gnosys

Smart city article details

Title Barriers Of Big Data Analytics For Smart Cities Development: A Context Of Emerging Economies
ID_Doc 11630
Authors Khan, S
Year 2022
Published INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 17, 2
DOI http://dx.doi.org/10.1080/17509653.2021.1997662
Abstract Smart cities use Big Data Analytics (BDA) for efficient and effective utilisation of resources and the adoption of big data analytics faces several barriers. Therefore, the main purpose of this research is to investigate the key barriers towards the adoption of BDA in smart cities development. To fulfil this objective, initially, 13 barriers of BDA adoption is identified and then prioritise using Best Worst Method (BWM). The finding shows that data complexity, framework for BDA adoption, lack of technologies for BDA are the important barriers that hinder the incorporation of BDA in smart city development. The main contribution of this study is that it proposes a framework for the evaluation of the BDA adoption barrier related to smart city development. The proposed framework can be helpful for policy and decision-makers to analyse the barriers of BDA adoption in smart city design and development. This study is helpful in undertaking these barriers in an optimised manner for the accelerated development of smart cities.
Author Keywords Barriers; big data analytics; best worst method (bwm); sustainability; smart cities


Similar Articles


Id Similarity Authors Title Published
33464 View0.959Khan, MA; Siddiqui, MS; Rahmani, MKI; Husain, SInvestigation Of Big Data Analytics For Sustainable Smart City Development: An Emerging CountryIEEE ACCESS, 10 (2022)
12037 View0.902Cronemberger F.; Gil-Garcia J.R.Big Data And Analytics As Strategies To Generate Public Value In Smart Cities: Proposing An Integrative FrameworkPublic Administration and Information Technology, 35 (2019)
6388 View0.898Razavian B.; Hamed S.M., S; Fayyaz M.; Ghasemi P.; Ozkul S.; Tirkolaee E.B.Addressing Barriers To Big Data Implementation In Sustainable Smart Cities: Improved Zero-Sum Grey Game And Grey Best-Worst MethodJournal of Innovation and Knowledge, 9, 4 (2024)
841 View0.892Pourzolfaghar, Z; Bremser, C; Helfert, M; Piller, GA Comparison Of Smart City Development And Big Data Analytics Adoption ApproachesPROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS) (2018)
17410 View0.889Shahat Osman A.M.; Elragal A.A.; Ståhlbröst A.Data-Driven Decisions In Smart Cities: A Digital Transformation Case StudyApplied Sciences (Switzerland), 12, 3 (2022)
11987 View0.886Xie H.; Shi W.; Choudhary H.; Fu H.; Guo X.Big Data Analysis For Retrofit Projects In Smart CitiesProceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019 (2019)
4288 View0.88Malik M.; Chaturvedi R.; Kaushik A.; Ritu; PoonamA Review On Smart Cities With Big Data Analytics2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 (2022)
3974 View0.878Balakumar C.; Vydehi S.A Real-Time Data Processing To Empower Urban Smart City Planning Using Big Data AnalyticsLecture Notes in Networks and Systems, 1293 (2025)
3261 View0.876Osman, AMSA Novel Big Data Analytics Framework For Smart CitiesFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 91 (2019)
30057 View0.875Barham, H; Daim, TIdentifying Critical Issues In Smart City Big Data Project ImplementationPROCEEDINGS OF THE 1ST ACM/EIGSCC SYMPOSIUM ON SMART CITIES AND COMMUNITIES (SCC '18) (2018)