Araştırma Makalesi
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The Effect of Smart City Applications on Smart City Life Inteniıon: The Moderating Role of Technology Anxiety

Yıl 2024, Sayı: 36, 90 - 111, 31.05.2024
https://doi.org/10.54600/igdirsosbilder.1438940

Öz

The human population living in cities in the world is constantly increasing. As a result of the increasing population, the use of digital technologies has become widespread to facilitate city life. The importance of a smart city has increased mainly due to the integration of artificial intelligence and Internet of Things technologies into cities. Therefore, this study aims to examine the effect of smart city applications on life intention and how technology anxiety moderates this effect. For this purpose, data were collected from 386 people using a questionnaire. The data were analysed with a structural equation model. As a result of the analyses, it was determined that smart public service, smart transportation and smart environmentalism practices significantly positively affect the intention to live in smart cities. As a result of the moderator analysis, it was found that technology anxiety has a moderating role in the effect of smart city applications on the intention to live in smart cities. Suggestions were made according to the research findings.

Kaynakça

  • Abu Salim, T., El Barachi, M., Onyia, O.P. & Mathew, S.S. (2021). Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention, Information Technology & People, 34 (1), 147-177. https://doi.org/10.1108/ITP-06-2019-0300
  • Agbali M., Trillo C., Ibrahim I. A., Arayici Y. & Fernando T. (2019). Are smart innovation ecosystems seeking to meet citizens’ needs? insights from the stakeholders’ vision on smart city strategy implementation. Smart Cities, 2, 307–327; doi:10.3390/smartcities2020019
  • Alderete, M.V. (2021). Determinants of smart city commitment among citizens from a middle city in Argentina. Smart Cities, 4, 1113–1129. https://doi.org/10.3390/smartcities4030059
  • Arar, M.; Jung, C., Awad, J.& Chohan, A.H. (2021). Analysis of smart home technology acceptance and preference for elderly in Dubai, UAE. Designs, 5, 1-19. https://doi.org/10.3390/designs5040070
  • Bachanek, K.H., Tundys, B., Wi´sniewski, T., Puzio, E. & Maroušková, A. (2021) Intelligent street lighting in a smart city concepts—a direction to energy saving in cities: an overview and case study. Energies, 14, 1-19. https://doi.org/10.3390/en14113018
  • Bamwesigye B. & Hlavackova P. (2019). Analysis of sustainable transport for smart cities. Sustainability, 11, 1-20; doi:10.3390/su11072140
  • Basbeth, F., Sedyowidodo, U., & Sumanto, A. (2019). Mobile application and smart city orientation: the moderating role of tech savvy population. In 2019 International Conference on ICT for Smart Society (ICISS), 7, (1-4). IEEE.
  • Berthon, P., Ewing, M., & Hah, L.L. (2005). Captivating company: dimensions of attractiveness in employer branding. International Journal of Advertising, 24(2), 151-172.
  • Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32(32), 470-483.
  • Byrne, B. M. (2011). Structural equation modeling with AMOS Basic concepts, applications, and programming (Multivariate Applications Series), Routledge, New York.
  • Campisi, T., Severino, A., Al-Rashid, M.A. & Pau, G. (2021) The Development of the smart cities in the connected and autonomous vehicles (cavs) era: from mobility patterns to scaling in cities. Infrastructures, 6, 1-21. https://doi.org/10.3390/infrastructures6070100
  • Dash, A. (2022). Modeling the moderating effect of technology anxiety on the relationship between smart city–built environment and the quality of life of citizens. Journal of Facilities Management, https://doi.org/10.1108/JFM-06-2022-0061
  • Farmanbar M., Parham K., Arild Ø & Rong C. (2019). A widespread review of smart grids towards smart cities. Energies, 12, 1-18; doi:10.3390/en12234484
  • Fialová, J., Bamwesigye, D., Łukaszkiewicz, J. & Fortuna-Antoszkiewicz, B. (2021). Smart cities landscape and urban planning for sustainability in Brno City. Land, 10, 1-17. https://doi.org/10.3390/land10080870
  • George, D., & Mallery, M. (2010). SPSS for windows step by step: a simple guide and reference. 17.0 update (10th Edition), Pearson.
  • Georgiadis, A.; Christodoulou, P. & Zinonos, Z. (2021). Citizens’ perception of smart cities: a case study. Appl. Sci., 11, 1-20. https://doi.org/10.3390/app11062517
  • Giao, H. N. K., Vuong, B. N., Duy Tung, D., & Quan, T. N. (2020). A model of factors influencing behavioral intention to use internet banking and the moderating role of anxiety: evidence from Vietnam. WSEAS, Transactions on Business and Economics, 17, 551-561.
  • Guo K., Lu Y., Gao H. & Cao R. (2018). Artificial intelligence-based semantic internet of things in a user-centric smart city. Sensors, 18, 1-22; doi:10.3390/s18051341
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: global perspective. New Jersey: Pearson Education, Prentice Hall.
  • He Z. & Haasis H.D. (2020). A theoretical research framework of future sustainable urban freight transport for smart cities. Sustainability 12, 1975, 1-28 ; doi:10.3390/su12051975
  • Jeng, M.Y., Pai, F.Y. & Yeh, T.M. (2022). Antecedents for older adults’ intention to use smart health wearable devices-technology anxiety as a moderator. Behav. Sci., 12, 1-16. https://doi.org/10.3390/bs12040114
  • Karagöz, Y. (2017). SPSS ve AMOS uygulamalı nicel-nitel-karma bilimsel araştırma yöntemleri ve yayın etiği, Nobel Akademik Yayıncılık.
  • Koval, V., Olczak, P., Vdovenko, N., Boiko, O., Matuszewska, D.& Mikhno, I. (2021). Ecosystem of environmentally sustainable municipal infrastructure in Ukraine. Sustainability, 13, 1-22. https://doi.org/10.3390/su131810223
  • Lai C.S., Jia Y., Dong Z., Wang D., Tao Y., Lai Q.H., Wong R.T.K., Zobaa A.F., Ruiheng Wu & Lai L.L. (2020). A review of technical standards for smart cities. Clean Technologies, 2, 290–310 doi:10.3390/cleantechnol2030019
  • Lim, S.B., Malek, J.A., Yussoff, M.F.Y.M. & Yigitcanlar, T. (2021). Understanding and acceptance of smart city policies: practitioners’ perspectives on the malaysian smart city framework. Sustainability, 13, 1-31. https://doi.org/10.3390/su13179559
  • Lin C., Zhao G., Yu C. & Wu Y.J. (2019). Smart city development and residents’ well-being. Sustainability, 11, 1-17; doi:10.3390/su11030676
  • Lytras M.D., Visvizi A., Choptar P.K., Sarirete A. & Alhalabi W. (2021). Information management in smart cities: turning end users’ views into multi-item scale development, validation, and policy-making recommendations. International Journal of Information Management. 56, 1-10.
  • Martins, F., Patrão, C., Moura, P. & de Almeida, A.T. (2021) A review of energy modeling tools for energy efficiency in smart cities. Smart Cities, 4, 1420–1436. https://doi.org/ 10.3390/smartcities4040075
  • Meidute-Kavaliauskiene, I., Yıldız, B., Çiğdem, Ş., & Činčikaitė, R. (2021). Do people prefer cars that people don’t drive? a survey study on autonomous vehicles. Energies, 14(16), 4795.
  • Müller, J. M. (2019). Comparing technology acceptance for autonomous vehicles, battery electric vehicles, and car sharing—A study across Europe, China, and North America. Sustainability, 11(16), 4333.
  • Myeong, S., Kim, Y. & Ahn, M.J. (2021) Smart city strategies—technology push or culture pull? a case study exploration of Gimpo and Namyangju, South Korea. Smart Cities, 4, 41–53. https://dx.doi.org/10.3390/smartcities4010003
  • Neupane, C., Wibowo, S., Grandhi, S. & Deng, H. (2021). A trust-based model for the adoption of smart city technologies in Australian regional cities. Sustainability, 13, 9316. https://doi.org/10.3390/su13169316
  • Patrão C., Moura P. & de Almeida A.T. (2020). Review of smart city assessment tools. Smart Cities, 3, 1117–1132; doi:10.3390/smartcities3040055
  • Pinochet, L. H. C., Romani, G. F., de Souza, C. A., & Rodríguez-Abitia, G. (2019). Intention to live in a smart city based on its characteristics in the perception by the young public. Revista de Gestão, 26(1), 73-92.
  • Popova, Y. & Zagulova, D. (2022) UTAUT model for smart city concept implementation: use of web applications by residents for everyday operations. Informatics, 9, 1-19. https://doi.org/10.3390/informatics9010027
  • Ptak, A. (2021) Smart city management in the context of electricity consumption savings. Energies, 14, 1-15. https://doi.org/10.3390/en14196170
  • Razmjoo, A., Nezhad, M.M., Kaigutha, L.G., Marzband, M., Mirjalili, S., Pazhoohesh, M., Memon, S., Ehyaei, M.A.& Piras, G. (2021). Investigating smart city development based on green buildings, electrical vehicles and feasible indicators. Sustainability, 13, 1-14. https://doi.org/10.3390/su13147808
  • Rocha, N.P., Bastardo, R., Pavão, J., Santinha, G., Rodrigues, M., Rodrigues, C., Queirós, A. & Dias, A. (2021). Smart cities’ applications to facilitate the mobility of older adults: a systematic review of the literature. Appl. Sci., 11, 1-22. https://doi.org/10.3390/app11146395
  • Sabory, N.R., Senjyu, T., Danish, M.S.S., Hosham, A., Noorzada, A., Amiri, A.S. & Muhammdi, Z. (2021). Applicable smart city strategies to ensure energy efficiency and renewable energy integration in poor cities: Kabul case study. Sustainability, 13, 1-12. https://doi.org/10.3390/su132111984
  • Sassen, S.& Kourtit, K. A. (2021) Post-corona perspective for smart cities: ‘should i stay or should i go?’ Sustainability, 13, 9988. https://doi.org/10.3390/su13179988
  • Shin, S.Y., Kim, D. & Chun, S.A. (2021). Digital divide in advanced smart city innovations. Sustainability, 13, 1-22. https://doi.org/10.3390/su13074076
  • Shore L., Power V., de Eyto A. & O’Sullivan L.W. (2018). Technology acceptance and user-centred design of assistive exoskeletons for older adults: a commentary. Robotics, 7, 1-13; doi:10.3390/robotics7010003
  • Simon, D., Kriston, L., Loh, A., Spies, C., Scheibler, F., Wills, C., & Harter, M. (2010). Confirmatory factor analysis and recommendations for improvement of the autonomy-preference-index (api), Health Expectations, 13(3), 234-243.
  • Sukhwani V., Shaw R., Deshkar S., Mitra B.K. & Yan W. (2020). Role of smart cities in optimizing water-energy-food nexus: opportunities in Nagpur, India. Smart Cities, 3, 1266–1292; doi:10.3390/smartcities3040062
  • Szpilko D. (2020). Foresight as a tool for the planning and implementation of visions for smart city development. Energies, 13, 1-24; doi:10.3390/en13071782
  • Tantau, A. & Santa, A.M.I. (2021). New energy policy directions in the European union developing the concept of smart cities. Smart Cities, 4, 241–252. https://doi.org/10.3390/smartcities4010015
  • Treiblmaier H., Rejeb A. & Strebinger A. (2020). Blockchain as a driver for smart city development: application fields and a comprehensive research agenda. Smart Cities, 3, 853–872; doi:10.3390/smartcities3030044
  • Troisi O., Fenza G., Grimaldi M. & Loia F. (2022). Covid-19 sentiments in smart cities: the role of technology anxiety before and during the pandemic. Computers in Human Behavior. 126, 1-16.
  • Vinod Kumar, T.M. & Dahiya, B. (2017). Smart economy in smart cities. In Smart Economy in Smart Cities, Advances in 21st Century Human Settlements; Vinod Kumar, T.M., Ed.; Springer: Singapore, 3–76.
  • Vo, K. N., Le, A. N. H., Thanh Tam, L., & Ho Xuan, H. (2022). Immersive experience and customer responses towards mobile augmented reality applications: The moderating role of technology anxiety. Cogent Business & Management, 9(1), 1-17.
  • Yeh, H. (2017). The effects of successful ICT-based smart city services: From citizens' perspectives. Government Information Quarterly, 34(3), 556-565.

Akıllı Şehir Uygulamalarının Akıllı Şehir Yaşam Niyetine Etkisi: Teknoloji Kaygısının Moderatör Rolü

Yıl 2024, Sayı: 36, 90 - 111, 31.05.2024
https://doi.org/10.54600/igdirsosbilder.1438940

Öz

Dünyada şehirlerde yaşayan insan nüfusu sürekli artmaktadır. Artan nüfusun bir sonucu olarak şehir hayatını kolaylaştırmak için dijital teknolojilerin kullanımı yaygınlaşmıştır. Özellikle yapay zekâ ve nesnelerin interneti teknolojilerinin şehirlere entegre edilmesiyle akıllı şehrin önemi artmıştır. Bu nedenle, bu çalışma akıllı şehir uygulamalarının yaşam niyeti üzerindeki etkisini ve teknoloji kaygısının bu etkiyi nasıl ılımlılaştırdığını incelemeyi amaçlamaktadır. Bu amaçla 386 kişiden anket yoluyla veri toplanmıştır. Veriler yapısal eşitlik modeli ile analiz edilmiştir. Analizler sonucunda akıllı kamu hizmeti, akıllı ulaşım ve akıllı çevrecilik uygulamalarının akıllı şehirlerde yaşama niyetini anlamlı şekilde pozitif yönde etkilediği tespit edilmiştir. Yapılan moderatör analizi sonucunda akıllı şehir uygulamalarının akıllı şehirlerde yaşama niyeti üzerindeki etkisinde teknoloji kaygısının moderatör rolü olduğu tespit edilmiştir. Araştırma bulgularına göre önerilerde bulunulmuştur.

Kaynakça

  • Abu Salim, T., El Barachi, M., Onyia, O.P. & Mathew, S.S. (2021). Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention, Information Technology & People, 34 (1), 147-177. https://doi.org/10.1108/ITP-06-2019-0300
  • Agbali M., Trillo C., Ibrahim I. A., Arayici Y. & Fernando T. (2019). Are smart innovation ecosystems seeking to meet citizens’ needs? insights from the stakeholders’ vision on smart city strategy implementation. Smart Cities, 2, 307–327; doi:10.3390/smartcities2020019
  • Alderete, M.V. (2021). Determinants of smart city commitment among citizens from a middle city in Argentina. Smart Cities, 4, 1113–1129. https://doi.org/10.3390/smartcities4030059
  • Arar, M.; Jung, C., Awad, J.& Chohan, A.H. (2021). Analysis of smart home technology acceptance and preference for elderly in Dubai, UAE. Designs, 5, 1-19. https://doi.org/10.3390/designs5040070
  • Bachanek, K.H., Tundys, B., Wi´sniewski, T., Puzio, E. & Maroušková, A. (2021) Intelligent street lighting in a smart city concepts—a direction to energy saving in cities: an overview and case study. Energies, 14, 1-19. https://doi.org/10.3390/en14113018
  • Bamwesigye B. & Hlavackova P. (2019). Analysis of sustainable transport for smart cities. Sustainability, 11, 1-20; doi:10.3390/su11072140
  • Basbeth, F., Sedyowidodo, U., & Sumanto, A. (2019). Mobile application and smart city orientation: the moderating role of tech savvy population. In 2019 International Conference on ICT for Smart Society (ICISS), 7, (1-4). IEEE.
  • Berthon, P., Ewing, M., & Hah, L.L. (2005). Captivating company: dimensions of attractiveness in employer branding. International Journal of Advertising, 24(2), 151-172.
  • Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32(32), 470-483.
  • Byrne, B. M. (2011). Structural equation modeling with AMOS Basic concepts, applications, and programming (Multivariate Applications Series), Routledge, New York.
  • Campisi, T., Severino, A., Al-Rashid, M.A. & Pau, G. (2021) The Development of the smart cities in the connected and autonomous vehicles (cavs) era: from mobility patterns to scaling in cities. Infrastructures, 6, 1-21. https://doi.org/10.3390/infrastructures6070100
  • Dash, A. (2022). Modeling the moderating effect of technology anxiety on the relationship between smart city–built environment and the quality of life of citizens. Journal of Facilities Management, https://doi.org/10.1108/JFM-06-2022-0061
  • Farmanbar M., Parham K., Arild Ø & Rong C. (2019). A widespread review of smart grids towards smart cities. Energies, 12, 1-18; doi:10.3390/en12234484
  • Fialová, J., Bamwesigye, D., Łukaszkiewicz, J. & Fortuna-Antoszkiewicz, B. (2021). Smart cities landscape and urban planning for sustainability in Brno City. Land, 10, 1-17. https://doi.org/10.3390/land10080870
  • George, D., & Mallery, M. (2010). SPSS for windows step by step: a simple guide and reference. 17.0 update (10th Edition), Pearson.
  • Georgiadis, A.; Christodoulou, P. & Zinonos, Z. (2021). Citizens’ perception of smart cities: a case study. Appl. Sci., 11, 1-20. https://doi.org/10.3390/app11062517
  • Giao, H. N. K., Vuong, B. N., Duy Tung, D., & Quan, T. N. (2020). A model of factors influencing behavioral intention to use internet banking and the moderating role of anxiety: evidence from Vietnam. WSEAS, Transactions on Business and Economics, 17, 551-561.
  • Guo K., Lu Y., Gao H. & Cao R. (2018). Artificial intelligence-based semantic internet of things in a user-centric smart city. Sensors, 18, 1-22; doi:10.3390/s18051341
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: global perspective. New Jersey: Pearson Education, Prentice Hall.
  • He Z. & Haasis H.D. (2020). A theoretical research framework of future sustainable urban freight transport for smart cities. Sustainability 12, 1975, 1-28 ; doi:10.3390/su12051975
  • Jeng, M.Y., Pai, F.Y. & Yeh, T.M. (2022). Antecedents for older adults’ intention to use smart health wearable devices-technology anxiety as a moderator. Behav. Sci., 12, 1-16. https://doi.org/10.3390/bs12040114
  • Karagöz, Y. (2017). SPSS ve AMOS uygulamalı nicel-nitel-karma bilimsel araştırma yöntemleri ve yayın etiği, Nobel Akademik Yayıncılık.
  • Koval, V., Olczak, P., Vdovenko, N., Boiko, O., Matuszewska, D.& Mikhno, I. (2021). Ecosystem of environmentally sustainable municipal infrastructure in Ukraine. Sustainability, 13, 1-22. https://doi.org/10.3390/su131810223
  • Lai C.S., Jia Y., Dong Z., Wang D., Tao Y., Lai Q.H., Wong R.T.K., Zobaa A.F., Ruiheng Wu & Lai L.L. (2020). A review of technical standards for smart cities. Clean Technologies, 2, 290–310 doi:10.3390/cleantechnol2030019
  • Lim, S.B., Malek, J.A., Yussoff, M.F.Y.M. & Yigitcanlar, T. (2021). Understanding and acceptance of smart city policies: practitioners’ perspectives on the malaysian smart city framework. Sustainability, 13, 1-31. https://doi.org/10.3390/su13179559
  • Lin C., Zhao G., Yu C. & Wu Y.J. (2019). Smart city development and residents’ well-being. Sustainability, 11, 1-17; doi:10.3390/su11030676
  • Lytras M.D., Visvizi A., Choptar P.K., Sarirete A. & Alhalabi W. (2021). Information management in smart cities: turning end users’ views into multi-item scale development, validation, and policy-making recommendations. International Journal of Information Management. 56, 1-10.
  • Martins, F., Patrão, C., Moura, P. & de Almeida, A.T. (2021) A review of energy modeling tools for energy efficiency in smart cities. Smart Cities, 4, 1420–1436. https://doi.org/ 10.3390/smartcities4040075
  • Meidute-Kavaliauskiene, I., Yıldız, B., Çiğdem, Ş., & Činčikaitė, R. (2021). Do people prefer cars that people don’t drive? a survey study on autonomous vehicles. Energies, 14(16), 4795.
  • Müller, J. M. (2019). Comparing technology acceptance for autonomous vehicles, battery electric vehicles, and car sharing—A study across Europe, China, and North America. Sustainability, 11(16), 4333.
  • Myeong, S., Kim, Y. & Ahn, M.J. (2021) Smart city strategies—technology push or culture pull? a case study exploration of Gimpo and Namyangju, South Korea. Smart Cities, 4, 41–53. https://dx.doi.org/10.3390/smartcities4010003
  • Neupane, C., Wibowo, S., Grandhi, S. & Deng, H. (2021). A trust-based model for the adoption of smart city technologies in Australian regional cities. Sustainability, 13, 9316. https://doi.org/10.3390/su13169316
  • Patrão C., Moura P. & de Almeida A.T. (2020). Review of smart city assessment tools. Smart Cities, 3, 1117–1132; doi:10.3390/smartcities3040055
  • Pinochet, L. H. C., Romani, G. F., de Souza, C. A., & Rodríguez-Abitia, G. (2019). Intention to live in a smart city based on its characteristics in the perception by the young public. Revista de Gestão, 26(1), 73-92.
  • Popova, Y. & Zagulova, D. (2022) UTAUT model for smart city concept implementation: use of web applications by residents for everyday operations. Informatics, 9, 1-19. https://doi.org/10.3390/informatics9010027
  • Ptak, A. (2021) Smart city management in the context of electricity consumption savings. Energies, 14, 1-15. https://doi.org/10.3390/en14196170
  • Razmjoo, A., Nezhad, M.M., Kaigutha, L.G., Marzband, M., Mirjalili, S., Pazhoohesh, M., Memon, S., Ehyaei, M.A.& Piras, G. (2021). Investigating smart city development based on green buildings, electrical vehicles and feasible indicators. Sustainability, 13, 1-14. https://doi.org/10.3390/su13147808
  • Rocha, N.P., Bastardo, R., Pavão, J., Santinha, G., Rodrigues, M., Rodrigues, C., Queirós, A. & Dias, A. (2021). Smart cities’ applications to facilitate the mobility of older adults: a systematic review of the literature. Appl. Sci., 11, 1-22. https://doi.org/10.3390/app11146395
  • Sabory, N.R., Senjyu, T., Danish, M.S.S., Hosham, A., Noorzada, A., Amiri, A.S. & Muhammdi, Z. (2021). Applicable smart city strategies to ensure energy efficiency and renewable energy integration in poor cities: Kabul case study. Sustainability, 13, 1-12. https://doi.org/10.3390/su132111984
  • Sassen, S.& Kourtit, K. A. (2021) Post-corona perspective for smart cities: ‘should i stay or should i go?’ Sustainability, 13, 9988. https://doi.org/10.3390/su13179988
  • Shin, S.Y., Kim, D. & Chun, S.A. (2021). Digital divide in advanced smart city innovations. Sustainability, 13, 1-22. https://doi.org/10.3390/su13074076
  • Shore L., Power V., de Eyto A. & O’Sullivan L.W. (2018). Technology acceptance and user-centred design of assistive exoskeletons for older adults: a commentary. Robotics, 7, 1-13; doi:10.3390/robotics7010003
  • Simon, D., Kriston, L., Loh, A., Spies, C., Scheibler, F., Wills, C., & Harter, M. (2010). Confirmatory factor analysis and recommendations for improvement of the autonomy-preference-index (api), Health Expectations, 13(3), 234-243.
  • Sukhwani V., Shaw R., Deshkar S., Mitra B.K. & Yan W. (2020). Role of smart cities in optimizing water-energy-food nexus: opportunities in Nagpur, India. Smart Cities, 3, 1266–1292; doi:10.3390/smartcities3040062
  • Szpilko D. (2020). Foresight as a tool for the planning and implementation of visions for smart city development. Energies, 13, 1-24; doi:10.3390/en13071782
  • Tantau, A. & Santa, A.M.I. (2021). New energy policy directions in the European union developing the concept of smart cities. Smart Cities, 4, 241–252. https://doi.org/10.3390/smartcities4010015
  • Treiblmaier H., Rejeb A. & Strebinger A. (2020). Blockchain as a driver for smart city development: application fields and a comprehensive research agenda. Smart Cities, 3, 853–872; doi:10.3390/smartcities3030044
  • Troisi O., Fenza G., Grimaldi M. & Loia F. (2022). Covid-19 sentiments in smart cities: the role of technology anxiety before and during the pandemic. Computers in Human Behavior. 126, 1-16.
  • Vinod Kumar, T.M. & Dahiya, B. (2017). Smart economy in smart cities. In Smart Economy in Smart Cities, Advances in 21st Century Human Settlements; Vinod Kumar, T.M., Ed.; Springer: Singapore, 3–76.
  • Vo, K. N., Le, A. N. H., Thanh Tam, L., & Ho Xuan, H. (2022). Immersive experience and customer responses towards mobile augmented reality applications: The moderating role of technology anxiety. Cogent Business & Management, 9(1), 1-17.
  • Yeh, H. (2017). The effects of successful ICT-based smart city services: From citizens' perspectives. Government Information Quarterly, 34(3), 556-565.
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sürdürülebilir Kalkınma
Bölüm Araştırma Makaleleri
Yazarlar

Bülent Yıldız 0000-0002-5368-2805

Erken Görünüm Tarihi 31 Mayıs 2024
Yayımlanma Tarihi 31 Mayıs 2024
Gönderilme Tarihi 17 Şubat 2024
Kabul Tarihi 29 Mart 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 36

Kaynak Göster

APA Yıldız, B. (2024). The Effect of Smart City Applications on Smart City Life Inteniıon: The Moderating Role of Technology Anxiety. Iğdır Üniversitesi Sosyal Bilimler Dergisi(36), 90-111. https://doi.org/10.54600/igdirsosbilder.1438940