Driving the Future: The Role of Smart Cities and Social Connectivity in Transforming Business Dynamics and Advancing the Smart Economy

Authors

  • Riyadhusholihah Riyadhusholihah Perbanas Institute
  • Mardiana Purwaningsih Perbanas Institute

Abstract

The emergence of smart cities represents a transformative shift in urban development, integrating digital technologies, data-driven governance, and sustainable infrastructure to enhance quality of life and economic efficiency. This article explores how smart city initiatives are reshaping business dynamics and driving the growth of the smart economy. By leveraging technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, smart cities enable new business models, optimize operational efficiency, and support innovation ecosystems. The paper also highlights the critical role of public–private partnerships, regulatory frameworks, and digital infrastructure in creating an economic environment that is responsive, adaptive, and inclusive. Through a multidisciplinary analysis, this study reveals the interconnection between urban intelligence and economic competitiveness, offering strategic insights for policymakers, business actors, and urban planners. Ultimately, smart cities do not merely transform how cities operate—they also redefine how businesses compete and collaborate in the digital age.

Keyword: Smart City; Business Dynamics; Smart Economy; Urban Innovation; Digital Transformation; Economic Competitiveness;

References

Al-Yasiri, Q., & Szabó, M. (2022). Phase change material coupled building envelope for thermal comfort and energy-saving: Effect of natural night ventilation under hot climate. Journal of Cleaner Production, 365. https://doi.org/10.1016/j.jclepro.2022.132839
Chauhan, A., Jakhar, S. K., & Chauhan, C. (2021). The interplay of circular economy with industry 4.0 enabled smart city drivers of healthcare waste disposal. Journal of Cleaner Production, 279. https://doi.org/10.1016/j.jclepro.2020.123854
Galarus, D. E., & Angryk, R. A. (2016). Spatio-temporal quality control: implications and applications for data consumers and aggregators. Open Geospatial Data, Software and Standards, 1(1). https://doi.org/10.1186/s40965-016-0003-2
Horck, S., Steens, S., & Kaminski, J. (2024). Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes. International Journal of Information Management Data Insights, 4(2). https://doi.org/10.1016/j.jjimei.2024.100284
Huda, M., Rahayu, A., Furqon, C., Sultan, M. A., Hartati, N., & Sugiana, N. S. S. (2025). Improving Performance with Big Data: Smart Supply Chain and Market Orientation in SMEs. International Journal of Advanced Computer Science and Applications, 16(2), 798–804. https://doi.org/10.14569/IJACSA.2025.0160280
Huda, M., Susi, N., Sugiana, S., Arfiansyah, F., Hapsari, A., & Aziz, E. (2024). Driving Economic Growth : Public Engagement as a Catalyst for Smart City Tourism Branding. 172–178.
Kanda, W., Hjelm, O., Johansson, A., & Karlkvist, A. (2022). Intermediation in support systems for eco-innovation. Journal of Cleaner Production, 371. https://doi.org/10.1016/j.jclepro.2022.133622
Leminen, S., Rajahonka, M., Westerlund, M., & Hossain, M. (2021). Collaborative innovation for sustainability in Nordic cities. Journal of Cleaner Production, 328. https://doi.org/10.1016/j.jclepro.2021.129549
Li, J., Zhang, S., Hua, Y., Lin, Y., Wen, X., Mijowska, E., Tang, T., Chen, X., & Ruoff, R. S. (2023). Facile synthesis of accordion-like porous carbon from waste PET bottles-based MIL-53(Al) and its application for high-performance Zn-ion capacitor. Green Energy and Environment. https://doi.org/10.1016/j.gee.2023.01.002
Melander, L., & Arvidsson, A. (2022). Green innovation networks: A research agenda. In Journal of Cleaner Production (Vol. 357). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2022.131926
Möslinger, M., Ulpiani, G., & Vetters, N. (2023). Circular economy and waste management to empower a climate-neutral urban future. Journal of Cleaner Production, 421. https://doi.org/10.1016/j.jclepro.2023.138454
Ninčević Pašalić, I., Ćukušić, M., & Jadrić, M. (2021). Smart city research advances in Southeast Europe. International Journal of Information Management, 58. https://doi.org/10.1016/j.ijinfomgt.2020.102127
Ong, J. O., Sutawijaya, A. H., & Saluy, A. B. (2020). Strategi Inovasi Model Bisnis Ritel Modern Di EraIndustri 4.0. Jurnal Ilmiah Manajemen Bisnis, 6(2), 201–210. https://www.cnbcindonesia.com
Prakash, R., Anoop, V. S., & Asharaf, S. (2022). Blockchain technology for cybersecurity: A text mining literature analysis. International Journal of Information Management Data Insights, 2(2). https://doi.org/10.1016/j.jjimei.2022.100112
Russo, I., Confente, I., Scarpi, D., & Hazen, B. T. (2019). From trash to treasure: The impact of consumer perception of bio-waste products in closed-loop supply chains. Journal of Cleaner Production, 218, 966–974. https://doi.org/10.1016/j.jclepro.2019.02.044
Sakas, D. P., Reklitis, D. P., Terzi, M. C., & Glaveli, N. (2023). Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis. International Journal of Information Management Data Insights, 3(2). https://doi.org/10.1016/j.jjimei.2023.100190
Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., Hennessey, J., Bull, J. S., & Waddoups, R. (2021). How Technology is Changing Retail. Journal of Retailing, 97(1), 13–27. https://doi.org/10.1016/j.jretai.2020.10.006
Shin, J., Lee, C., Lim, C., Shin, Y., & Lim, J. (2022). Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 3878–3888. https://doi.org/10.1145/3534678.3539199
Stone, T. (2021). Design for values and the city. Journal of Responsible Innovation, 8(3), 364–381. https://doi.org/10.1080/23299460.2021.1909813
Sugiana, N. S. S., Dirgantari, P. D., Hurriyati, R., Musty, B., Pakpahan, A. V, Sofyan, D. H., & Udin, M. (2024). Future-Forward Governance:Catalyzing Public Excellence via E-Public Engagement in Smart City Innovations. 410–415. https://doi.org/10.1145/3670013.3670084
Ulas, D. (2019). Digital Transformation Process and SMEs. Procedia Computer Science, 158, 662–671. https://doi.org/10.1016/j.procs.2019.09.101
Wang, S., Li, J., Du, P., & Zhao, E. (2022). A game theoretic technique for risk-based optimal bidding strategies in energy aggregators of markets: Knowledge management approach. Journal of Innovation and Knowledge, 7(4). https://doi.org/10.1016/j.jik.2022.100279
Wang, X., Lin, X., & Shao, B. (2022). How does artificial intelligence create business agility? Evidence from chatbots. International Journal of Information Management, 66. https://doi.org/10.1016/j.ijinfomgt.2022.102535
Yang, J., Kwon, Y., & Kim, D. (2021). Regional Smart City Development Focus: The South Korean National Strategic Smart City Program. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2020.3047139

Published

2025-09-21