Public Service Innovation Using Smart Governance
DOI:
https://doi.org/10.47604/jppa.1447Keywords:
Big Date, Text Mining, Smart Governance, Policies, Citizen ParticipationAbstract
Purpose: This study determines the possibility of public service innovation to meet the rapid changes in information technology (IT) and the need for new governance by analyzing three cases in South Korea.
Methodology: The Smart Governance-Decision Support Systems (SG-DSS) in this study is a new form that guarantees the voluntary participation of citizens by applying IT to governance. SG-DSS supports the demand response that fulfills universal values and decisions about priorities by collecting citizens' needs. It also encourages citizens or stakeholders to participate in establishing implementation plans that are more specific and fit for reality, giving legitimacy to public service policies and developing them into a driving force.
Findings: The three case studies on Korean public policies show how public opinions reflect public service policies. Therefore, the findings of this study could lay the foundation for customized public services based on intelligent citizen participation by overcoming the current limitations.
Unique contribution to theory, practice and policy: SG-DSS supports the demand response that fulfills universal values and decisions about priorities by collecting citizens' needs. It also encourages citizens or stakeholders to participate in establishing implementation plans that are more specific and fit for reality, giving legitimacy to public service policies and developing them into a driving force. The core value of smart governance is to apply IT innovations such as big data and AI to public services. Furthermore, advanced technology enables the collection and application of actual public opinions, thereby improving public to be more objective and efficient.
Downloads
References
Ameis, S. H., Lai, M. C., Mulsant, B. H., & Szatmari, P. (2020). Coping, fostering resilience, and driving care innovation for autistic people and their families during the COVID-19 pandemic and beyond. Molecular Autism, 11(1), 1-9.
Baptista, J., & Galliers, R. D. (2012, January). Social media as a driver for new rhetorical practices in organisations, In 2012 45th Hawaii International Conference on System Sciences (pp. 3540-3549). IEEE.
Bell, S., & Hindmoor, A. (2009). Rethinking governance: The centrality of the state in modern society. Cambridge University Press.
Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010). Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies. Government information quarterly, 27(3), 264-271.
Bowler, S., Dobbs, R., & Nicholson, S. (2020). Direct Democracy and Political Decision Making. In Oxford Research Encyclopedia of Politics.
Bovaird, T. (2007). Beyond engagement and participation: User and community coproduction of public services. Public administration review, 67(5), 846-860.
Brem, A., Viardot, E., & Nylund, P. A. (2021). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?. Technological forecasting and social change, 163, 120451.
Bright, J., & Margetts, H. (2016). Big Data and Public Policy: Can It Succeed Where E"Participation Has Failed?.
Davies, R. (2015). e-Government: Using technology to improve public services and democratic participation. European Parliamentary Research Service.
de Jong, M. D., Neulen, S., & Jansma, S. R. (2019). Citizens' intentions to participate in governmental co-creation initiatives: Comparing three co-creation configurations. Government information quarterly, 36(3), 490-500.
Fang, X. & Zhan, J. (2015), "Sentiment analysis using product review data," Journal of Big Data, 2-5.
Frederick, E., Lim, C. H., Clavio, G., Pedersen, P. M., & Burch, L. M. (2014). Choosing between the one-way or two-way street: An exploration of relationship promotion by professional athletes on Twitter. Communication & Sport, 2(1), 80-99.
Gustafson, P., & Hertting, N. (2017). Understanding participatory governance: An analysis of participants' motives for participation. The American Review of Public Administration, 47(5), 538-549.
Holland, B. (2019). Factors and strategies that influence faculty involvement in public service. Building the Field of Higher Education Engagement: Foundational Ideas and Future Directions.
Hong, S. G., Ryu, S. E., Kim, N. R., Lee, T. H., Lee, S. M., & Ahn, S. J.(2020) Smart Governance Policy Process Innovation, Youwon Books, 2020
Hong, S. G., Lee, H. M., Han, S. E., & Kim, J. W. (2015). A Study on the Youth Job Creation Problem Solving with a Co-creation Approach: Focusing on the Busan City. Journal of the Korea Industrial Information Systems Research, 20(1), 91-102.
Hong, S. G., Ryu, S., E., & Ahn, S., J. (2019), Sentimatal analysis on urban regeneration policy: Focused on reviews of Gamcheon culture village, Journal of the Korean Data And Information Science Society, 30(6), 1233-1244.
Horvitz, E. (2016). One hundred year study on artificial intelligence.
Ju, J., Liu, L., & Feng, Y. (2018). Citizen-centered big data analysis-driven governance intelligence framework for smart cities. Telecommunications Policy, 42(10), 881-896.
Kambil, A., Friesen, G. B., & Sundaram, A. (1999). Co-creation: A new source of value. Outlook Magazine, 3(2), 23-29.
Kang, S. N. (2014). A Diffusion of Social Media and the Change of Policy Governance, Seoul Association For Public Administration, 24(4), 261-287.
Kim, H. S. (2006). A Critic of the Relationship between On-line Citizen Participation and Electronic Democracy: Comparison of Responsiveness and Collaboration. Social Science Research, 22(1), 91-119.
Kim, H. J., Lee, T. H., Ryu, S. E., Kim, N. R. (2018), Study on Text Mining Methods to Analyze Civil Complaints: Structured Association Analysis, 23(3), 13-24.
Kim I. (2006), Influence of Governance Structure on Performance in Public Service Delivery of Local Governments Comparative Analysis by Service Type, The Korean Association for Local Government Studies, 5-39.
Kim. Y. & Lee, S. (2018). "Combinations of Text Preprocessing and Word Embedding Suitable for Neural Network Models for Document Classification," Journal of KIISE, 45(7), pp. 690-700.
Kowalski, R., Esteve, M., & Mikhaylov, S. J. (2019). Improving Public Services by Mining Citizen Feedback: An Application of Natural Language Processing. EasyChair preprint, 1103.
Lee, N. M., & VanDyke, M. S. (2015). Set it and forget it: The one-way use of social media by government agencies communicating science. Science Communication, 37(4), 533-541.
Lee, S. M., Ryu, S. E., & Ahn, S. J. (2020), Mass Media and Social Media Agenda Analysis Using Text Mining: focused on '5-day Rotation Mask Distribution System', Journal of The Korea contents association, 20(6), 460-469.
Lemos, M. C., & Agrawal, A. (2006). Environmental governance. Annu. Rev. Environ. Resour., 31, 297-325.
Michael, K., & Miller, K. W. (2013). Big data: New opportunities and new challenges [guest editors' introduction]. Computer, 46(6), 22-24.
Lu, Y., Mei, Q., & Zhai, C. (2011). Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA. Information Retrieval, 14(2), 178-203.
Nikita, M. (2016). Select number of topics for LDA model. Retrieved from.
Orben, A. (2020). The Sisyphean cycle of technology panics. Perspectives on Psychological Science, 15(5), 1143-1157.
Rhodes, R. A. W. (1996). The new governance: governing without government. Political studies, 44(4), 652-667.
Ross, K., Fountaine, S., & Comrie, M. (2015). Facing up to Facebook: politicians, publics and the social media (ted) turn in New Zealand. Media, culture & society, 37(2), 251-269.
Ryu, S. E., Hong, S. G., Lee, T. H., & Kim, N. R. (2018), A Pattern Analysis of Bus Civil Complaint in Busan City Using the Text Network Analysis, Korean Computers and Accounting Review, 16(2), 19-43.
Sarker, M. N. I., Wu, M., & Hossin, M. A. (2018, May). Smart governance through bigdata: Digital transformation of public agencies. In 2018 international conference on artificial intelligence and big data (ICAIBD) (pp. 62-70). IEEE.
Scholl, H. J., & Scholl, M. C. (2014). Smart governance: A roadmap for research and practice. IConference 2014 Proceedings.
Šiugždinienė, J., Gaulė, E., & Rauleckas, R. (2019). In search of smart public governance: The case of Lithuania. International Review of Administrative Sciences, 85(3), 587-606.
Smiraglia, R. P., Henry, J., Milonas, E., Marchese, C., & Zherebchevsky, S. (2021). A Formal Taxonomy of Knowledge Organization: Meta-Analysis and Facet Analysis. KO KNOWLEDGE ORGANIZATION, 47(7), 558-573.
Smismans, S. (2008). New modes of governance and the participatory myth. West European Politics, 31(5), 874-895.
Tang, Z., Zhang, L., Xu, F., & Vo, H. (2015). Examining the role of social media in California's drought risk management in 2014. Natural Hazards, 79(1), 171-193.
Tormey, S. (2014). The contemporary crisis of representative democracy. Democratic Theory, 1(2), 104-112.
Urbinati, N. (2011). Representative democracy and its critics. The future of representative democracy, 23-49.
Wickramarachchi, P. M. (2014). Perceived impact of two-way communication in social media on contemporary SRI LANKAN TELECOMMUNICATION brands.
Zhao, W., Chen, J., & Zen, W. (2015). Best practices in building topic models with LDA for mining regulatory textual documents. Cder 9th November..
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Seung Eui Ryu , Hyun Jong Kim, Soon Goo Hong
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
