Skip to main content

Pivotal Factors Affecting Citizens in Using Smart Government Services in Indonesia

  • Conference paper
  • First Online:
Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 693))

Included in the following conference series:

  • 422 Accesses

Abstract

The aim of this study is to examine the analysis factors affecting citizens in using smart government services in Indonesia. A questionnaire survey was sent to 300 people who used smart government services. The collected data was analyzed using SEM-PLS. This study found that accountability, user satisfaction, trust in government, trust in technology, and perceived cost positively and significantly affected citizens to use the smart government services, with their respective p-values 0.032, 0.004, 0.026, and 0.044. Meanwhile, perceived risk and community culture did not significantly affect the citizens, with p-values of 0.080 and 0.170, respectively. This study only examined these affecting pivotal factors on citizens in three local districts. The next research should observe wide areas. The findings of this study can help local government stakeholders which implement smart government services, particularly in improving the perceived cost of public services. This research can strengthen user satisfaction, service innovation, and low costs so that people’s trust increases in using smart government services. This study contributes to the development of the literature regarding smart government services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wirtz BW, Weyerer JC, Schichtel FT (2019) An integrative public IoT framework for smart government. Gov Inf Q 36(2):333–345. https://doi.org/10.1016/j.giq.2018.07.001

    Article  Google Scholar 

  2. Kankanhalli A, Charalabidis Y, Mellouli S (2019) IoT and AI for smart government: a research agenda. Gov Inf Q 36(2):304–309. https://doi.org/10.1016/j.giq.2019.02.003

    Article  Google Scholar 

  3. Cedillo-Elias EJ, Larios VM, Orizaga-Trejo JA, Lomas-Moreno CE, Ramirez JRB, Maciel R (2019) A cloud platform for smart government services, using SDN networks: the case of study at Jalisco State in Mexico. In: 2019 IEEE international smart cities conference (ISC2), Casablanca, Morocco, Oct 2019, pp 372–377. https://doi.org/10.1109/ISC246665.2019.9071680

  4. Ghasemi A, Saberi M (2020) The key factors in transforming Birjand city to a smart city: smart mobility, smart government. Indones J Electr Eng Comput Sci 19(1):317–324. https://doi.org/10.11591/ijeecs.v19.i1.pp317-324

    Article  Google Scholar 

  5. Alfalasi K, Ameen A, Isaac O, Khalifa GSA, Midhunchakkaravarthy D (2020) Impact of actual usage of smart government on the net benefits (knowledge acquisition, communication quality, competence, productivity, decision quality). TEST Eng Manage 82:14770–14782

    Google Scholar 

  6. Scholl HJ AlAwadhi S (2016) Creating smart governance: the key to radical ICT overhaul at the city of Munich. Inf Polity 21(1):21–42. https://doi.org/10.3233/IP-150369

  7. Fajar AN, Nugeraha Utama D (2018) SGSC framework: smart government in supply chain based on FODA. Bull Electr Eng Inf 7(3):411–416. https://doi.org/10.11591/eei.v7i3.817

  8. Jaradat M-IRM, Moustafa AA, Al-Mashaqba AM (2018) Exploring perceived risk, perceived trust, perceived quality and the innovative characteristics in the adoption of smart government services in Jordan. Int J Mob Commun 16(4):399–439

    Google Scholar 

  9. Witanto JN, Lim H, Atiquzzaman M (2018) Smart government framework with geo-crowdsourcing and social media analysis. Future Gener Comput Syst 89:1–9. https://doi.org/10.1016/j.future.2018.06.019

    Article  Google Scholar 

  10. Chatfield AT, Reddick CG (2019) A framework for Internet of Things-enabled smart government: a case of IoT cybersecurity policies and use cases in U.S. federal government. Gov Inf Q 36(2):346–357. https://doi.org/10.1016/j.giq.2018.09.007

    Article  Google Scholar 

  11. Puritat K (2019) A gamified mobile-based approach with web monitoring for a crowdsourcing framework designed for urban problems related smart government: a case study of Chiang Mai, Thailand. Int J Interact Mob Technol IJIM 13(12):55–66. https://doi.org/10.3991/ijim.v13i12.10989

    Article  Google Scholar 

  12. Cherrabi M, Benbrahim M, Boutahar J (2020) Adaptive enterprise architecture M-NEA for Moroccan national system: towards Moroccan smart-government. In: 2020 IEEE international conference of Moroccan geomatics (Morgeo), Casablanca, Morocco, May 2020, pp 1–8. https://doi.org/10.1109/Morgeo49228.2020.9121896

  13. Shan S, Duan X, Zhang Y, Zhang TT, Li H (2021) Research on collaborative governance of smart government based on blockchain technology: an evolutionary approach. Discrete Dyn Nat Soc 2021:1–23. https://doi.org/10.1155/2021/6634386

    Article  MathSciNet  MATH  Google Scholar 

  14. Kennedy R (2016) E-regulation and the rule of law: smart government, institutional information infrastructures, and fundamental values. Inf Polity 21(1):77–98. https://doi.org/10.3233/IP-150368

    Article  Google Scholar 

  15. Kravchenko AG, Litvinova SF (2015) The prospects for legislative modeling ‘Smart Government’ in political and legal realities of Russia. Mediterr J Soc Sci 6(3):341–346. https://doi.org/10.5901/mjss.2015.v6n3p341

    Article  Google Scholar 

  16. Al-Obthani F, Ameen A (2019) Association between transformational leadership and smart government among employees in UAE public organizations. Int J Emerg Technol 10(1a): 98–104

    Google Scholar 

  17. Melati C, Janissek-Muniz R (2020) Smart government: analysis of dimensions from the perspective of public managers. Rev Adm Pública 54(3):400–415. https://doi.org/10.1590/0034-761220190226x

  18. Sensuse DI, Arief A, Mursanto P (2022) An empirical validation of foundation models for smart government in Indonesia. Int J Adv Sci Eng Inf. Technol. 12(3):1132. https://doi.org/10.18517/ijaseit.12.3.13442

    Article  Google Scholar 

  19. Hashim KF, Hashim NL, Ismail S, Miniaoui S, Atalla S (2020) Citizen readiness to adopt the new emerging technologies in Dubai smart government services. In: 2020 6th international conference on science in information technology (ICSITech), Palu, Indonesia, Oct 2020, pp 1–5. https://doi.org/10.1109/ICSITech49800.2020.9392071

  20. Obedait AA, Youssef M, Ljepava N (2019) Citizen-centric approach in delivery of smart government services. In: Al-Masri A, Curran K (eds) Smart technologies and innovation for a sustainable future. Springer, Cham, pp 73–80. https://doi.org/10.1007/978-3-030-01659-3_10

  21. Sanjifa ZN, Sumpeno S, Suprapto YK (2019) Community feedback analysis using latent semantic analysis (LSA) to support smart government. In: 2019 International seminar on intelligent technology and its applications (ISITIA), Surabaya, Indonesia, Aug 2019, pp 428–433. https://doi.org/10.1109/ISITIA.2019.8937137

  22. Hermanto A, Binti Ibrahim R, Kusnanto G (2020) Improving value-based e-government towards the achievement of smart government. In: 2020 Fifth international conference on informatics and computing (ICIC), Gorontalo, Indonesia, Nov 2020, pp 1–7. https://doi.org/10.1109/ICIC50835.2020.9288609

  23. Algebri HK, Husin Z, Abdulhussin AM, Yaakob N (2017) Why move toward the smart government. In: 2017 international symposium on computer science and intelligent controls (ISCSIC), Budapest, Oct 2017, pp 167–171. https://doi.org/10.1109/ISCSIC.2017.34

  24. Sankowska P (2018) Smart government: an European approach toward building sustainable and secure cities of tomorrow. Int J Technol 9(7):1355. https://doi.org/10.14716/ijtech.v9i7.2517

    Article  Google Scholar 

  25. Al Enezi A, Al Meraj Z, Manuel P (2018) Challenges of IoT based smart-government development. In: 2018 IEEE green technologies conference (GreenTech), Austin, TX, Apr 2018, pp 155–160. https://doi.org/10.1109/GreenTech.2018.00036

  26. Zhang S, Lan Y (2019) Study on smart government construction of big data-oriented. J Phys Conf Ser 1288(1):012073. https://doi.org/10.1088/1742-6596/1288/1/012073

    Article  Google Scholar 

  27. Gil-Garcia JR, Helbig N, Ojo A (2014) Being smart: emerging technologies and innovation in the public sector. Gov Inf Q 31:I1–I8. https://doi.org/10.1016/j.giq.2014.09.001

    Article  Google Scholar 

  28. Sawafi AMA Awad MA (2020) Citizen engagement in smart government: content analysis of Mohammed Bin Rashid tweets. In:2020 14th international conference on innovations in information technology (IIT), Al Ain, United Arab Emirates, Nov 2020, pp 160–164. https://doi.org/10.1109/IIT50501.2020.9299046

  29. Fu’adi DK, Arief A, Sensuse DI, Syahrizal A (2020) Conceptualizing smart government implementation in smart city context: a systematic review. In: 2020 fifth international conference on informatics and Computing (ICIC), Gorontalo, Indonesia, Nov 2020, pp 1–7. https://doi.org/10.1109/ICIC50835.2020.9288656

  30. Vujković P, Ravšelj D, Umek L, Aristovnik A (2022) Bibliometric analysis of smart public governance research: smart city and smart government in comparative perspective. Soc Sci 11(7):293. https://doi.org/10.3390/socsci11070293

    Article  Google Scholar 

  31. Susanto TD, Diani MM, Hafidz I (2017) User acceptance of e-government citizen report system (a case study of City113 app). Procedia Comput. Sci. 124:560–568. https://doi.org/10.1016/j.procs.2017.12.190

    Article  Google Scholar 

  32. Adiyarta K, Napitupulu D, Nurdianto H, Rahim R, Ahmar A (2018) User acceptance of e-government services based on TRAM model. IOP Conf Ser Mater Sci Eng 352:012057. https://doi.org/10.1088/1757-899X/352/1/012057

    Article  Google Scholar 

  33. Alryalat MAA (2017) Measuring citizens’ adoption of electronic complaint service (ECS) in Jordan: validation of the extended technology acceptance model (TAM). Int J Electron Gov Res 13(2):47–65. https://doi.org/10.4018/IJEGR.2017040103

    Article  Google Scholar 

  34. Pribadi U (2021) Citizens’ intention to use e-government services: the case of e-complaint service in Indonesia. Int J Electron Gov 13(2):114–131. https://doi.org/10.1504/IJEG.2021.116884

    Article  Google Scholar 

  35. Mensah IK (2018) E-government services adoption: the important elements of trust and transparency. Int J Electron Gov Res 14(3):12–31. https://doi.org/10.4018/IJEGR.2018070102

    Article  Google Scholar 

  36. Ameen A, Alfalasi K, Gazem NA, Isaac O (2019) Impact of system quality, information quality, and service quality on actual usage of smart government. In: 2019 first international conference of intelligent computing and engineering (ICOICE), Hadhramout, Yemen, Dec 2019, pp 1–6. https://doi.org/10.1109/ICOICE48418.2019.9035144

  37. Chohan SR, Hu G (2020) Success factors influencing citizens’ adoption of IoT service orchestration for public value creation in smart government. IEEE Access 8:208427–208448. https://doi.org/10.1109/ACCESS.2020.3036054

    Article  Google Scholar 

  38. Weerakkody V, Irani Z, Lee H, Hindi N, Osman I (2016) Are U.K. citizens satisfied with e-government services? Identifying and testing antecedents of satisfaction. Inf Syst Manag 33(4):331–343. https://doi.org/10.1080/10580530.2016.1220216

    Article  Google Scholar 

  39. Kurfalı M, Arifoğlu A, Tokdemir G, Paçin Y (2017) Adoption of e-government services in Turkey. Comput Hum Behav 66:168–178. https://doi.org/10.1016/j.chb.2016.09.041

    Article  Google Scholar 

  40. Al-Obthani F, Ameen A (2019) Influence of overall quality and innovativeness on actual usage of smart government: an empirical study on the UAE public sector. Int J Emerg Technol 10(1a):141–146

    Google Scholar 

  41. Hartanti FT, Abawajy JH, Chowdhury M, Shalannanda W (2021) Citizens’ trust measurement in smart government services. IEEE Access 9:150663–150676. https://doi.org/10.1109/ACCESS.2021.3124206

    Article  Google Scholar 

  42. Gil-Garcia JR, Zhang J, Puron-Cid G (2016) Conceptualizing smartness in government: An integrative and multi-dimensional view. Gov Inf Q 33(3):524–534. https://doi.org/10.1016/j.giq.2016.03.002

  43. Alghawi K, Ameen A, Bhaumik A (2019) Empirical study of the UAE-based smart government’s characteristics and its effect on performance quality. Int J Emerg Technol 10(1a):59–65

    Google Scholar 

  44. Alghawi K, Ameen A, Bhaumik A (2019) The role of smart government characteristics for enhancing UAE’s public service quality. Int J Emerg Technol 10(1a):01–07

    Google Scholar 

  45. Shi D, Tian Z (2020) The current situation of China’s governance from the perspective of smart government. In: 2020 International conference on big data economy and information management (BDEIM), Zhengzhou, China, Dec 2020, pp 137–141. https://doi.org/10.1109/BDEIM52318.2020.00040

  46. Althunibat A et al (2021) Sustainable applications of smart-government services: a model to understand smart-government adoption. Sustainability 13(6):3028. https://doi.org/10.3390/su13063028

    Article  Google Scholar 

  47. Assegaff S, Andrianti A, Astri LY (2021) Evaluation of the factors influencing the trust of Millennial citizens in e-government. J Phys Conf Ser 1898(1):012009. https://doi.org/10.1088/1742-6596/1898/1/012009

    Article  Google Scholar 

  48. Arief A, Sensuse DI (2018) Designing a conceptual model for smart government in Indonesia using Delphi 2nd round validity. In: 2018 International conference on advanced computer science and information systems (ICACSIS), Yogyakarta, Oct 2018, pp 93–98. https://doi.org/10.1109/ICACSIS.2018.8618239

  49. Grossi G, Meijer A, Sargiacomo M (2020) A public management perspective on smart cities: ‘Urban auditing’ for management, governance and accountability. Public Manage Rev 22(5):633–647. https://doi.org/10.1080/14719037.2020.1733056

    Article  Google Scholar 

  50. Gil O, Cortés-Cediel ME, Cantador I (2019) Citizen participation and the rise of digital media platforms in smart governance and smart cities. Int J E-Plan Res 8(1):19–34. https://doi.org/10.4018/IJEPR.2019010102

  51. Pribadi U, Kim H (2021) Impacts of cultural behavior of civil servants on citizens’ satisfaction: a survey on licensing services of Indonesian local government agencies. J Public Aff e2662:1–9. https://doi.org/10.1002/pa.2662

  52. Yaghi A, Al-Jenaibi B (2018) Happiness, morality, rationality, and challenges in implementing smart government policy. Public Integr 20(3):284–299. https://doi.org/10.1080/10999922.2017.1364947

  53. Chen T, Peng L, Yin X, Rong J, Yang J, Cong G (2020) Analysis of user satisfaction with online education platforms in China during the COVID-19 pandemic. Healthcare 8(3):200. https://doi.org/10.3390/healthcare8030200

    Article  Google Scholar 

  54. Junnonyang E (2021) Integrating tam, perceived risk, trust, relative advantage, government support, social influence and user satisfaction as predictors of mobile government adoption behavior in Thailand. Int J Ebus Egov Stud 13(1):159–178. https://doi.org/10.34109/ijebeg.202113108

    Article  Google Scholar 

  55. Ameen A, Al-Ali D, Isaac O, Mohammed F (2020) Examining relationship between service quality, user satisfaction, and performance impact in the context of smart government in UAE. Int J Electr Comput Eng IJECE 10(6):6026–6033. https://doi.org/10.11591/ijece.v10i6.pp6026-6033

    Article  Google Scholar 

  56. Habib A, Alsmadi D, Prybutok VR (2020) Factors that determine residents’ acceptance of smart city technologies. Behav Inf Technol 39(6):610–623. https://doi.org/10.1080/0144929X.2019.1693629

    Article  Google Scholar 

  57. Mensah IK, Luo C, Abu-Shanab E (2021) Citizen use of e-government services websites: a proposed e-government adoption recommendation model (EGARM). Int J Electron Gov Res 17(2):19–42. https://doi.org/10.4018/IJEGR.2021040102

  58. Almuraqab NAS, Jasimuddin SM, Mansoor W (2021) An empirical study of perception of the end-user on the acceptance of smart government service in the UAE. J Glob Inf Manage 29(6):1–29. https://doi.org/10.4018/JGIM.20211101.oa11

    Article  Google Scholar 

  59. Kamalrudin M, Thaiban HHM, Sidek S, Hakimi H (2019) Research on trust model in online information of smart government. Int J Recent Technol Eng IJRTE 8(2S11):762–767. https://doi.org/10.35940/ijrte.B1124.0982S1119

  60. Alkhwald AF, Al-Ajaleen RT (2022) Toward a conceptual model for citizens’ adoption of smart mobile government services during the COVID-19 pandemic in Jordan. Inf Sci Lett 11(2):573–579. https://doi.org/10.18576/isl/110225

  61. Kuo Y-F, Yen S-N (2009) Towards an understanding of the behavioral intention to use 3G mobile value-added services. Comput Hum Behav 25(1):103–110. https://doi.org/10.1016/j.chb.2008.07.007

    Article  Google Scholar 

  62. Eom S-J, Choi N, Sung W (2016) The use of smart work in government: empirical analysis of Korean experiences. Gov Inf Q 33(3):562–571. https://doi.org/10.1016/j.giq.2016.01.005

    Article  Google Scholar 

  63. Schedler K, Guenduez AA, Frischknecht R (2019) How smart can government be? Exploring barriers to the adoption of smart government. Inf Polity 24(1):3–20. https://doi.org/10.3233/IP-180095

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ulung Pribadi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pribadi, U., Juhari, Ibrahim, M.A., Kurniawan, C. (2023). Pivotal Factors Affecting Citizens in Using Smart Government Services in Indonesia. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 693. Springer, Singapore. https://doi.org/10.1007/978-981-99-3243-6_89

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3243-6_89

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3242-9

  • Online ISBN: 978-981-99-3243-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics