Identification of Influencing Factors on Implementation of Smart city Plans based on Approach of Technical and Social System
محورهای موضوعی : Information SystemsAli Safarzadeh 1 , Ghasemali Bazaei 2 , Mehdi Faghihi 3
1 - IT Management, Department of IT Management, Qeshm Branch, Islamic Azad University, Qeshm, Iran
2 - Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Management, Olom va tahghighat Tehran Branch, Islamic Azad
کلید واژه: Smart city, technical and social systems, Data mining, Big data, Sustainable Development,
چکیده مقاله :
The current research seeks to identify the influencing factors on implementation of smart city plans based on approach of technical and social systems. For this goal, the library study is done and then based on that a research plan is written that include using expert opinions and data mining technique, feature selection ,clustering and also Delphi technique to identify and screen factors and then using clustering, the final factors are leveled. Here the aim is not ranking but is leveling. Meanwhile because of high numbers of factors, screening them in both steps using Delphi and feature selection is conducted. Delphi is one of the classic tests in qualitative approaches and feature selection include data mining techniques. Finally leveling factors include technical and social factors and the most influencing ones are determined. technical factors including digital infrastructure, ICT base transportation, ICT based logistic, building alarm systems, energy consumption adjustment, ICT based process are placed in level one. Social factors including digital and smart innovation, knowledge sharing, smart education, participation in sustainable development, access to educational plans, waste recycling, pollution control, productivity and flexibility of labor market are placed in level one.
The current research seeks to identify the influencing factors on implementation of smart city plans based on approach of technical and social systems. For this goal, the library study is done and then based on that a research plan is written that include using expert opinions and data mining technique, feature selection ,clustering and also Delphi technique to identify and screen factors and then using clustering, the final factors are leveled. Here the aim is not ranking but is leveling. Meanwhile because of high numbers of factors, screening them in both steps using Delphi and feature selection is conducted. Delphi is one of the classic tests in qualitative approaches and feature selection include data mining techniques. Finally leveling factors include technical and social factors and the most influencing ones are determined. technical factors including digital infrastructure, ICT base transportation, ICT based logistic, building alarm systems, energy consumption adjustment, ICT based process are placed in level one. Social factors including digital and smart innovation, knowledge sharing, smart education, participation in sustainable development, access to educational plans, waste recycling, pollution control, productivity and flexibility of labor market are placed in level one.
Anthopoulos, L. G., Janssen, M., & Weerakkody, V. (2015, May). Comparing Smart Cities with different modeling approaches. In Proceedings of the 24th International Conference on World Wide Web (pp. 525-528). ACM.
Anthopoulos, L., 2017. Smart utopia VS smart reality: learning by experience from 10 smart city cases. Cities 63, 128–148
Aguaded-Ramírez, E. (2017). Smart City and Intercultural Education. Procedia-Social and Behavioral Sciences, 237, 326-333.
Borsekova, Korony, Vanova & Vitalisova, Kamila, Samuel, Anna & Katarina (2018), Functionality between the size and indicators of smart cities: A research challenge with policy implications, Cities, https://doi.org/10٫1016/j.cities.2018٫03٫010
Eremia, Toma & Sanduleac, Mircea, Lucian & Mihai (2017), the smart city concept in the 21st century, Procedia Engineering 181 (2017) 12 ˚ 19 10-
Huiying Zhu , Liyin Shen, Yitian Ren(2022), How can smart city shape a happier life? The mechanism for developing a Happiness Driven Smart City, Sustainable Cities and Society 80 (2022) 103791
Islam Panah, Maryam and Fatemeh Salimi, 2015. Studying the function and position of the smart city and tomorrow's school in the next twenty years, the second national conference on the psychology of educational and social sciences, Mazandaran, Babol: Kome Alamavaran Scientific Research Institute. - Retrieved on 3/11/2016,
Judki Saba; Maryam Fayyaz and Nasim Ahmadi, 2016, What Big Data Do in Smart City, Second National Conference on New Approaches in Electrical and Computer Engineering, Khorramabad, Islamic Azad University, Khorramabad Branch
Judge, Seyed Mehdi; Bromandania, Ali and Farhang Adib, Somia 2015. Challenges in the Internet of Things and ways to deal with them in reaching a smart city, National Conference of Computer Science and Engineering and Information Technology, Babol, Kome Alam Avran Danesh Scientific Research InstituteAnthopoulos, L. G., & Fitsilis, P. (2015, May). Understanding smart city business models: A Comparison. In Proceedings of the 24th International Conference on World Wide Web
Liu, L., Chen, W., Nie, M., Zhang, F., Wang, Y., He, A. & Yan, G. (2016). iMAGE cloud: medical image processing as a service for regional healthcare in a hybrid cloud environment. Environmental health and preventive medicine, 21(6), 563-571
Mydlarz, C., Salamon, J., & Bello, J. P. (2017). The implementation of low-cost urban acoustic monitoring devices. Applied Acoustics, 117, 207-218
Meijer, A., & Bolívar, M. P. R. (2016). Governing the smart city: a review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392-408.
Mert Duygan Manuel Fischer, Rea P¨arli, Karin Ingold(2022), Where do Smart Cities grow? The spatial and socio-economic configurations of smart city development, Sustainable Cities and Society 77 (2022) 103578
Mohamad Kashef , Anna Visvizi Orlando Troisi(2021), Smart city as a smart service system: Human-computer interaction and smart city surveillance systems, Computers in Human Behavior 124 (2021) 106923
Nilssen, M. (2019). To the smart city and beyond? Developing a typology of smart urban innovation. Technological Forecasting and Social Change, 142, 98-104.
Ratih Dyah Kusumastuti,*, N. Nurmala Juliana Rouli, Herdis Herdiansyah(2022), Analyzing the factors that influence the seeking and sharing of information on the smart city digital platform: Empirical evidence from Indonesia, Technology in Society 68 (2022) 101876
Silva, B. N., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697-713.
Snow, C. C., Håkonsson, D. D., & Obel, B. (2016). A smart city is a collaborative community: lessons from Smart Aarhus. California Management Review, 59(1), 92-108.
Sosna, M., Trevinyo-Rodríguez, R.N., Velamuri, S.R., 2010. Business model innovation through trial-and-error learning: the Naturhouse case. Long Range Plan. 43 (2), 383–407
Taverna, M., Piccinini, L. C., Chang, T. F. M., & Iseppi, L. (2013). Structures and Paths for the Exploration of Landscape-Cultural Mosaic. In Society, Integration, Education, Proc. of Intern. Conference: Sabiedriba, Integracija, Izglitiba (Vol. 1, pp. 517-527).
Khadijeh Bahrami1, Houshang Taghizadeh*2, Mortaza Honarmand Azimi(2022), Innovation Capability Based on Clustering and Ranking Approach (Case Study: Food and Beverage Industries of Urmia Metropolis), Journal of System Management (JSM) Online ISSN: 2538-1571, Print ISSN: 2322-2301 Doi: 10.30495/JSM.2022.1959461.1651 8(4), 2022, pp. 19-32
Mahdi Ahmadipanah 1, Kamyar Chalaki 2*, Roya Shakeri(2022), Designing Cell Production Arrangement Scenarios with the Approach of Artificial Neural Networks, Journal of System Management (JSM) Online ISSN: 2538-1571, Print ISSN: 2322-2301 Doi: 10.30495/JSM.2022.1964485.1673 8(4), 2022, pp. 49-64
Majid Ahmadi1, Alireza Rousta2*, Mohammad Hasan Maleki 3, Farzad Asayesh(2022), Future Study of Marketing in the Banking Industry with a focus on Blockchain Technology, Journal of System Management (JSM) Online ISSN: 2538-1571, Print ISSN: 2322-2301
Doi: 10.30495/JSM.2022.1967454.1687 8(4), 2022, pp. 133-146
