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Development of a citizen participation public service innovation model based on smart governance

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Abstract

This study explores an efficient approach to providing customized public services through a smart governance-based public service innovation model (SG-PSIM) that combines intelligent technology and co-creation. Multiple methodological approaches are applied to develop and evaluate the proposed SG-PSIM. Intelligent methodologies that can support the public service policy process are discussed, and the applicability of the SG-PSIM is demonstrated through four case studies. The study results showed that SG-PSIM can effectively collect the opinions of citizens in diverse ways and provide opportunities for citizens to actively participate in the development of public service policies.

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source: Hong et al. (2020), p. 85

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source: Hong et al. (2020), p. 117

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source: Hong et al. (2020), p. 120

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source: Hong et al. (2020), p. 52

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source: Hong et al. (2020), p. 153

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source: Hong et al. (2020), p. 183

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source: Hong et al. (2020), p. 185

Fig. 11

source: Park and Lee (2020), p. 71

Fig. 12

source: Kim and Hong (2021), p. 4

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Data availability

The data that support the findings of this study are available from the first author [hongsoongoo@dtu.edu.vn] upon request.

References

  • Androutsopoulou A, Charalabidis Y (2018) A framework for evidence based policy making combining big data, dynamic modelling and machine intelligence. In: ICEGOV ‘18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, pp 575–583

  • Araujo R, Taher Y, Heuvel W, Cappelli C (2013) Evolving government-citizen ties in public service design and delivery. In: Conference: IFIP WG 8.5 s Working Conference on EGOV, pp 19–26.

  • Arku RN, Buttazzoni A, Agyapon-Ntra K, Bandauko E (2022) Highlighting smart city mirages in public perceptions: a Twitter sentiment analysis of four African smart city projects. Cities 130:103857

    Article  Google Scholar 

  • Bright J, Margetts H (2016) Big data and public policy: can it succeed where e-participation has failed? Policy Internet 8(3):218–224

    Article  Google Scholar 

  • Bryson JM, Crosby BC, Stone MM (2006) The design and implementation of cross-sector collaborations: propositions form the literature. Public Adm Rev 66:44–55

    Article  Google Scholar 

  • City of Boston. https://www.boston.gov/departments/boston-311 Accessed 8 Feb 2023

  • Chin HS, Marasini DP, Lee DH (2023) Digital transformation trends in service industries. Serv Bus 17(1):11–36

    Article  Google Scholar 

  • Cole A, La, C, Stivas D, Tran É (2023) The ‘Smart City’ between urban narrative and empty signifier: the case of Hong Kong. In: Cole A, Healy A, Morel-Journel C. (2022) Constructing narratives for city governance: Transnational perspectives on urban narration Edward Elgar, pp 135–150

  • Cornwall Council, United Kingdom, Tell us once, gok.uk, https://www.cornwall.gov.uk/births-marriages-deaths/deaths-funerals-and-cremation/tell-us-once/ Accessed 24 Jan 2023

  • Drissa OB, Melloulib S, Trabelsib Z (2019) From citizens to government policy-makers: social media data analysis. Gov Inf Q 36:560–570

    Article  Google Scholar 

  • Emerson K, Nabatchi T, Balogh S (2012) An integrative framework for collaborative governance. J Public Admin Res Theory 22(1):1–29

    Article  Google Scholar 

  • Eom SJ, Lee J (2022) Digital government transformation in turbulent times: responses, challenges, and future direction. Gov Inf Q 39(2): 101690 https://doi.org/10.1016/j.giq.2022.101690

    Article  Google Scholar 

  • Givoni M (2012) Re-assessing the results of the London congestion charging scheme. Urban Stud 49(5):1089–1105

    Article  Google Scholar 

  • Grindle MS (2004) Good enough governance: poverty reduction and reform in developing countries. Governance 17(4):525–548

    Article  Google Scholar 

  • Hartley K (2023) Public perceptions about smart cities: governance and quality-of-life in Hong Kong. Soc Indic Res 166:731–753. https://doi.org/10.1007/s11205-023-03087-9

    Article  Google Scholar 

  • Hassani H, Beneki C, Unger S, Mazinani MT, Yeganegi MR (2020) Text mining in big data analytics. Big Data Cogn Comput 4(1):1. https://doi.org/10.3390/bdcc4010001

    Article  Google Scholar 

  • Hong S, Kim N, Lee T, Han EJ (2017) New regional innovation model: smart governance. Youwon Books, Seoul

    Google Scholar 

  • Hong S, Ryu S, Ahn S (2019) Sentimatal analysis on urban regeneration policy: focused on reviews of Gamcheon culture village. J Korean Data Inform Sci Soci 30(6):1233–1244

    Google Scholar 

  • Hong S, Ryu S, Kim N, Lee T, Lee SM, Ahn S (2020) Smart governance: policy process innovation. Youwon Books, Seoul

    Google Scholar 

  • Howlett M, Ramesh M (2003) Studying public policy: policy cycles and policy subsystems. Oxford University Press, Toronto

    Google Scholar 

  • Iqbal A, Amin R, Iqbal J, Alroobaea R, Binmahfoudh A, Hussain M (2022) Sentiment analysis of consumer reviews using deep learning. Sustainability 14(17):10844. https://doi.org/10.3390/su141710844

    Article  Google Scholar 

  • Kankanhalli A, Charalabidis Y, Mellouli S (2019) IoT and AI for smart government: a research agenda. Gov Inf Q 36(2):304–309

    Article  Google Scholar 

  • Kenter JO, O’Brien L, Hockley N, Ravenscroft N, Fazey I, Irvine KN, Reed MS, Christie M, Brady E, Bryce R, Church A, Cooper N, Davies A, Evely A, Everard M, Fish R, Fisher JA, Jobstvogt N, Molloy C, Orchard-Webb J, Ranger S, Ryan M, Watson V, Williams S (2015) What are shared and social values of ecosystems? Ecol Econ 111:86–99

    Article  Google Scholar 

  • Kim N, Hong S (2021) Automatic classification of citizen requests for transportation using deep learning: case study from Boston city. Inf Process Manage 58(1):102410

    Article  Google Scholar 

  • Kowalski R, Esteve M, Mikhaylov SJ (2020) Improving public services by mining citizen feedback: an application of natural language processing. Public Administartion 98(4):1011–1026

    Article  Google Scholar 

  • Lee S, Lee D (2020) “Untact”: a new customer service strategy in the digital age. Serv Bus 14(1):1–22

    Article  Google Scholar 

  • Lee S, Lee D (2021) Opportunities and challenges for contactless healthcare services in the post-COVID-19 Era. Technol Forecast Soc Chang 167:120712

    Article  Google Scholar 

  • Lee T, Hong S, Jeong H (2020) An automatic analysis of public debate of local assembly by utilizing a facet analysis. Korea Assoc Policy Stud 29(1):47–68

    Article  Google Scholar 

  • Lindgren I, Madsen ØC, Hofmann S, Melin U (2019) Close encounters of the digital kind: a research agenda for the digitalization of public services. Gov Inf Q 36(3):427–436

    Article  Google Scholar 

  • Marinov R (2019) New intelligent technologies - interactivity and information issues. Adv J Commun 7:94–108

    Google Scholar 

  • McCombs M (2005) A look at agenda-setting: past, present and future. J Stud 6(4):543–557

    Google Scholar 

  • Ministry of Land, Infrastructure, and Transport of Korea, http://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?id=95081734, Accessed 23 Dec 2018

  • Munné R (2016) Big data in the public sector. In: Cavanillas J, Curry E, Wahlster W (eds) New Horizons for a data-driven economy. Springer, New York

    Google Scholar 

  • Oosthuizen RM (2022) The fourth industrial revolution - smart technology, artificial intelligence, robotics and algorithms: industrial psychologists in future workplaces. Front Artif Intell 1(5):1–13

    Google Scholar 

  • Park JS, Lee SM (2020) Big data analysis of Busan civil affairs using the LDA topic modeling technique. Inform Policy 27(2):66–83

    Google Scholar 

  • Rha JS, Lee HH (2022) Research trends in digital transformation in the service sector: a review based on network text analysis. Serv Bus 16:77–98

    Article  Google Scholar 

  • Ritchey T (2006) Problem structuring using computer-aided morphological analysis. J Oper Res Soc 57(7):792–801

    Article  Google Scholar 

  • Ryu SE, Kim HJ, Hong SG (2022) Public service innovation using smart governance. J Public Policy Admin 7(1):1–20

    Google Scholar 

  • Sadilek A, Caty S, DiPrete L, Mansour R, Jr S, Bergtholdt M, Jha A, Ramaswami P, Gabrilovich E (2018) Machine-learned epidemiology: real-time detection of foodborne illness at scale. Digital Med 1(36):1. https://doi.org/10.1038/s41746-018-0045-1

    Article  Google Scholar 

  • Sarker M, Wu M, Hossin M (2018) Smart governance through bigdata: digital transformation of public agencies. Int Conf Artif Intell Big Data (ICAIBD) 2018:62–70

    Article  Google Scholar 

  • Schofield J (2001) Time for a revival? public policy implementation: a review of the literature and an agenda for future research. Int J Manag Rev 3(3):245–263

    Article  Google Scholar 

  • Scholta H, Mertens W, Kowalkiewicz M, Becker J (2019) From one-stop shop to no-stop shop: an e-government stage model. Gov Inf Q 36(1):11–26

    Article  Google Scholar 

  • Shiffman J (2008) Agenda setting in public health policy. In: Quah S, Heggenhougen K (eds) International encyclopedia of public health. Academic Press, Cambridge

    Google Scholar 

  • Statista, https://www.statista.com/ Accessed 6 Jan 2023

  • Vial G (2019) Understanding digital transformation: a review and a research agenda. J Strateg Inf Syst 28(2):118–144

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A3A2075240).

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Authors and Affiliations

  1. International School, Duy Tan University, Danang, 254 Nguyen Van Linh, Vietnam

    Soon Goo Hong

  2. College of Business Administration, Inha University, 100 Inharo, Michuhol-gu, Incheon, South Korea

    DonHee Lee

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  1. Soon Goo Hong
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  2. DonHee Lee
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Correspondence to DonHee Lee.

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Hong, S.G., Lee, D. Development of a citizen participation public service innovation model based on smart governance. Serv Bus 17, 669–694 (2023). https://doi.org/10.1007/s11628-023-00536-w

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