Mapping Information Technology Adoption in Smart Cities: A Literature Review and Research Themes

Nur Hadian


In the growing digital era, Information Technology (IT) has created major breakthroughs in various fields, before finally playing a significant role in the Smart City (SC) concept as has been proven in many studies. Previous studies have shown that IT implementation in SC varies greatly as it has to be customized to the SC domain. Thus, it is necessary to map the feasible IT adoption for each SC domain. Here, we conducted a literature review and found several research themes of IT adoption in SC. Our findings include: (i) IT adoption in SC, and (ii) SC domains. In this study, a literature review was conducted manually on journals that examined IT adoption in SC and SC domains. The extraction and synthesis process results identified several research themes, including Geographic Information Systems, Internet of Things (IoT), Big Data Analytics, and Wireless Sensor Networks. Research questions are posed in each theme, which can be helpful to insights for future research.

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J. Yang, Y. Han, Y. Wang, B. Jiang, Z. Lv, and H. Song, “Optimization of real-time traffic network assignment based on IoT data using DBN and clustering model in smart city,” Futur. Gener. Comput. Syst., vol. 108, pp. 976–986, 2020, doi: 10.1016/j.future.2017.12.012.

U. Majeed, L. U. Khan, I. Yaqoob, S. M. A. Kazmi, K. Salah, and C. S. Hong, “Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges,” J. Netw. Comput. Appl., vol. 181, no. August 2020, p. 103007, 2021, doi: 10.1016/j.jnca.2021.103007.

O. B. Mora, R. Rivera, V. M. Larios, J. R. Beltran-Ramirez, R. Maciel, and A. Ochoa, “A Use Case in Cybersecurity based in Blockchain to deal with the security and privacy of citizens and Smart Cities Cyberinfrastructures,” 2018 IEEE Int. Smart Cities Conf. ISC2 2018, pp. 0–3, 2019, doi: 10.1109/ISC2.2018.8656694.

P. Kumar, G. P. Gupta, and R. Tripathi, “TP2SF : A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning,” vol. 115, no. September 2020, 2021.

M. Babar, A. Saeed, M. Ahmad, and M. Usman, “Energy aware smart city management system using data analytics and Internet of Things,” Sustain. Energy Technol. Assessments, vol. 44, no. August 2020, p. 100992, 2021, doi: 10.1016/j.seta.2021.100992.

X. Xiao and C. Xie, “Rational planning and urban governance based on smart cities and big data,” Environ. Technol. Innov., vol. 21, p. 101381, 2021, doi: 10.1016/j.eti.2021.101381.

W. Wang, “Deployment and optimization of wireless network node deployment and optimization in smart cities,” Comput. Commun., vol. 155, no. February, pp. 117–124, 2020, doi: 10.1016/j.comcom.2020.03.022.

X. Zhou, S. Li, Z. Li, and W. Li, “Neurocomputing Information diffusion across cyber-physical-social systems in smart city : A survey,” Neurocomputing, vol. 444, pp. 203–213, 2021, doi: 10.1016/j.neucom.2020.08.089.

A. E. S. Setyadji et al., “Causes of Ineffective Implementation of It Governance in Risk Management: a Systematic Literature Review,” JIKO (Jurnal Inform. dan Komputer), vol. 6, no. 2, pp. 88–96, 2023, doi: 10.33387/jiko.v6i2.6182.

L. C. D. Reis, S. B. L. Ferreira, F. C. Bernardini, and C. Cappelli, “Towards a good practices catalog for ICT governance in the Brazilian smart cities context,” ACM Int. Conf. Proceeding Ser., pp. 670–673, 2020, doi: 10.1145/3428502.3428600.

M. E. Cortés-Cediel, I. Cantador, and O. Gil, “Recommender systems for e-governance in smart cities: State of the art and research opportunities,” ACM Int. Conf. Proceeding Ser., no. April, 2017, doi: 10.1145/3127325.3128331.

D. Ridwandono and A. P. Subriadi, “IT and organizational agility: A critical literature review,” Procedia Comput. Sci., vol. 161, pp. 151–159, 2019, doi: 10.1016/j.procs.2019.11.110.

R. M. D. Vito Albino, Azzurra Balice, “Environmental strategies and green product development: an overview on sustainability-driven companies,” Bus. Strateg. Environ., vol. 18, no. 2, 2009.

R. P. Dameri and F. Ricciardi, “Smart city intellectual capital : an emerging view of territorial systems innovation management,” 2015, doi: 10.1108/JIC-02-2015-0018.

A. Zanella et al., “Internet of Things for Smart Cities,” IEEE Internet Things J., vol. 1, no. 1, pp. 22–32, 2014, doi: 10.1109/JIOT.2014.2306328.

S. E. Bibri and J. Krogstie, “Generating a vision for smart sustainable cities of the future : a scholarly backcasting approach,” vol. 0, no. 7491, pp. 1–20, 2019.

J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A Survey on Internet of Things : Architecture , Enabling Technologies , Security and Privacy , and Applications,” vol. 4, no. 5, pp. 1125–1142, 2017.

J. P. D. Comput, P. G. Vinueza, Z. Pooranian, M. Shojafar, and M. Conti, “FOCAN : A Fog-supported smart city network architecture for management of applications in the Internet of Everything environments,” J. Parallel Distrib. Comput., vol. 132, pp. 274–283, 2019, doi: 10.1016/j.jpdc.2018.07.003.

A. A. Diro and N. Chilamkurti, “Distributed attack detection scheme using deep learning approach for Internet of Things,” Futur. Gener. Comput. Syst., vol. 82, pp. 761–768, 2018, doi: 10.1016/j.future.2017.08.043.

A. Kotsev, S. Schade, M. Craglia, M. Gerboles, L. Spinelle, and M. Signorini, “Next Generation Air Quality Platform : Openness and Interoperability for the Internet of Things,” pp. 1–16, doi: 10.3390/s16030403.

X. Zhang, G. Manogaran, and B. A. Muthu, “IoT enabled integrated system for green energy into smart cities,” Sustain. Energy Technol. Assessments, vol. 46, no. February, p. 101208, 2021, doi: 10.1016/j.seta.2021.101208.

M. B. Dowlatshahi, M. Kuchaki Rafsanjani, and B. B. Gupta, “An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities,” Appl. Soft Comput., vol. 108, p. 107473, 2021, doi: 10.1016/j.asoc.2021.107473.

M. Sharma, S. Joshi, D. Kannan, and K. Govindan, “Internet of Things ( IoT ) adoption barriers of smart cities ’ waste management : An Indian context,” J. Clean. Prod., vol. 270, p. 122047, 2020, doi: 10.1016/j.jclepro.2020.122047.

A. Sharma, P. K. Singh, and Y. Kumar, “An integrated fire detection system using IoT and image processing technique for smart cities,” Sustain. Cities Soc., vol. 61, no. December 2019, p. 102332, 2020, doi: 10.1016/j.scs.2020.102332.

P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations,” Int. J. Inf. Manage., vol. 51, no. May 2019, p. 101952, 2020, doi: 10.1016/j.ijinfomgt.2019.05.008.

I. Abaker et al., “International Journal of Information Management The role of big data in smart city,” Int. J. Inf. Manage., vol. 36, no. 5, pp. 748–758, 2016, doi: 10.1016/j.ijinfomgt.2016.05.002.

A. M. S. Osman, “A novel big data analytics framework for smart cities,” Futur. Gener. Comput. Syst., vol. 91, pp. 620–633, 2019, doi: 10.1016/j.future.2018.06.046.

Y. Zhang, P. Geng, C. B. Sivaparthipan, B. Anand, and B. A. Muthu, “Big data and artificial intelligence based early risk warning system of fire hazard for smart cities,” Sustain. Energy Technol. Assessments, vol. 45, no. March, p. 100986, 2021, doi: 10.1016/j.seta.2020.100986.

A. R. Honarvar and A. Sami, “Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures,” Big Data Res., vol. 17, pp. 56–65, 2019, doi: 10.1016/j.bdr.2018.05.006.

K. M. Shahanas and P. B. Sivakumar, “Framework for a Smart Water Management System in the Context of Smart City Initiatives in India,” Procedia - Procedia Comput. Sci., vol. 92, pp. 142–147, 2016, doi: 10.1016/j.procs.2016.07.337.

I. Figueiredo, P. Esteves, P. Cabrita, I. Figueiredo, P. Esteves, and P. Cabrita, “ScienceDirect ScienceDirect Water wise – a digital water solution for smart cities and water Water wise – a digital water solution for smart cities and water management entities management entities,” Procedia Comput. Sci., vol. 181, no. 2019, pp. 897–904, 2021, doi: 10.1016/j.procs.2021.01.245.

M. Singh and S. Ahmed, “Materials Today : Proceedings IoT based smart water management systems : A systematic review,” Mater. Today Proc., no. xxxx, 2020, doi: 10.1016/j.matpr.2020.08.588.

M. Brunner, C. Sauerwein, M. Felderer, and R. Breu, “Risk management practices in information security: Exploring the status quo in the DACH region,” Comput. Secur., vol. 92, p. 101776, 2020, doi: 10.1016/j.cose.2020.101776.

C. Giudicianni, M. Herrera, A. Carravetta, H. M. Ramos, and K. Adeyeye, “Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems +,” J. Clean. Prod., vol. 252, p. 119745, 2020, doi: 10.1016/j.jclepro.2019.119745.

K. A. Nguyen, R. A. Stewart, H. Zhang, and O. Sahin, “Environmental Modelling & Software Re-engineering traditional urban water management practices with smart metering and informatics,” Environ. Model. Softw., vol. 101, pp. 256–267, 2018, doi: 10.1016/j.envsoft.2017.12.015.

S. Idwan, I. Mahmood, J. A. Zubairi, and I. Matar, “Optimal Management of Solid Waste in Smart Cities using Internet of Things,” Wirel. Pers. Commun., vol. 110, no. 1, pp. 485–501, 2020, doi: 10.1007/s11277-019-06738-8.

B. Fataniya, A. Sood, D. Poddar, and D. Shah, “Implementation of iot based waste segregation and collection system,” Int. J. Electron. Telecommun., vol. 65, no. 4, pp. 579–584, 2019, doi: 10.24425/ijet.2019.129816.

K. D. Kang, H. Kang, I. M. S. K. Ilankoon, and C. Y. Chong, “Electronic waste collection systems using Internet of Things (IoT): Household electronic waste management in Malaysia,” J. Clean. Prod., vol. 252, p. 119801, 2020, doi: 10.1016/j.jclepro.2019.119801.

S. Murugesan, S. Ramalingam, and P. Kanimozhi, “Materials Today : Proceedings Theoretical modelling and fabrication of smart waste management system for clean environment using WSN and IOT,” Mater. Today Proc., vol. 45, pp. 1908–1913, 2021, doi: 10.1016/j.matpr.2020.09.190.

S. Dubey, P. Singh, P. Yadav, and K. K. Singh, “ScienceDirect ScienceDirect Household Waste Management System Using IoT and Machine Learning Household Waste Management System Using IoT and Machine,” Procedia Comput. Sci., vol. 167, no. 2019, pp. 1950–1959, 2020, doi: 10.1016/j.procs.2020.03.222.

X. Lu, X. Pu, and X. Han, “Sustainable smart waste classi fi cation and collection system : A bi- objective modeling and optimization approach,” J. Clean. Prod., vol. 276, p. 124183, 2020, doi: 10.1016/j.jclepro.2020.124183.

S. A. Bagloee, M. Heshmati, H. Dia, H. Ghaderi, C. Pettit, and M. Asadi, “Blockchain: The operating system of smart cities,” Cities, vol. 112, no. August 2020, p. 103104, 2021, doi: 10.1016/j.cities.2021.103104.

C. Vagnoli et al., “The SensorWebBike for air quality monitoring in a smart city,” IET Semin. Dig., vol. 2014, no. 15564, 2014, doi: 10.1049/ic.2014.0043.

Z. Ma and Y. Ren, “Integrated Application of BIM and GIS: An Overview,” Procedia Eng., vol. 196, no. June, pp. 1072–1079, 2017, doi: 10.1016/j.proeng.2017.08.064.

B. Esmaeilian, B. Wang, K. Lewis, F. Duarte, C. Ratti, and S. Behdad, “The future of waste management in smart and sustainable cities: A review and concept paper,” Waste Manag., vol. 81, pp. 177–195, 2018, doi: 10.1016/j.wasman.2018.09.047.

M. I. Pramanik, R. Y. K. Lau, H. Demirkan, and M. A. K. Azad, “Smart health: Big data enabled health paradigm within smart cities,” Expert Syst. Appl., vol. 87, no. 2017, pp. 370–383, 2017, doi: 10.1016/j.eswa.2017.06.027.

Z. Rayan, M. Alfonse, and A. B. M. Salem, “Machine Learning Approaches in Smart Health,” Procedia Comput. Sci., vol. 154, no. 1985, pp. 361–368, 2018, doi: 10.1016/j.procs.2019.06.052.

Y. A. Aina, “Achieving smart sustainable cities with GeoICT support: The Saudi evolving smart cities,” Cities, vol. 71, no. May, pp. 49–58, 2017, doi: 10.1016/j.cities.2017.07.007.

N. Nasser, N. Khan, L. Karim, M. ElAttar, and K. Saleh, “An efficient Time-sensitive data scheduling approach for Wireless Sensor Networks in smart cities,” Comput. Commun., vol. 175, no. November 2020, pp. 112–122, 2021, doi: 10.1016/j.comcom.2021.05.006.



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