Analysing the change management process for digital transformation involving citizens using textual analysis techniques
DOI:
https://doi.org/10.4025/actascitechnol.v47i1.71028Palavras-chave:
Digital Transformation, Citizen Engagement, Change Management Process, Textual AnalysisResumo
The irreversible trend of digitalisation is reshaping our society, capturing citizens’ attention by delivering high-quality, real-time digital services across various domains. Prior research has primarily concentrated on addressing concerns and challenges related to utilising digital platforms for citizen engagement. This research aims to improve understanding of change management process for digital transformation involving citizens for prioritising problem handling and devising appropriate solutions at different stages of the process. Firstly, content and thematic analysis techniques were employed to identify and analyse the characteristics of the change management process from 33 relevant studies in a systematic review. Subsequently, a change management process model was developed, including five stages: determining a change initiative, developing a change plan, communicating changes resulting from digital transformation, monitoring the progress of changes, and learning from past lessons. This model was then applied to analyse the change management process in a case study using text clustering technique based on online news released by the Shanghai government in 2023, allowing to gain insights into challenges/problems and strategies used to address them at each stage in the process. The findings show the utility of the model for analysing the change management processes. Implications for academia and practitioners are also discussed.
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Acco Tives Leão, H., & Canedo, E. D. (2018). Best practices and methodologies to promote the digitization of public services citizen-driven: A systematic literature review. Information, 9(8), 197. https://doi.org/10.3390/info9080197 DOI: https://doi.org/10.3390/info9080197
Becker, J., Chasin, F., Rosemann, M., Beverungen, D., Priefer, J., Brocke, J., Matzner, M., del-Río-Ortega, A., Resinas, M., Santoro, F., Song, M., Park, K., Di Ciccio, C. (2023). City 5.0: Citizen involvement in the design of future cities. Electronic Markets, 33(1), 10. http://dx.doi.org/10.1007/s12525-023-00621-y DOI: https://doi.org/10.1007/s12525-023-00621-y
Braun, V., & Clarke, V. (2022). Conceptual and design thinking for thematic analysis. Qualitative Psychology, 9(1), 3–26. https://doi.org/10.1037/qup0000196 DOI: https://doi.org/10.1037/qup0000196
Chatterjee, S., Khorana, S., & Kizgin, H. (2022). Harnessing the potential of artificial intelligence to foster citizens’ satisfaction: An empirical study on India. Government Information Quarterly, 39(4), 101621. https://doi.org/10.1016/j.giq.2022.101621 DOI: https://doi.org/10.1016/j.giq.2021.101621
Falco, E., & Kleinhans, R. (2018). Beyond technology: Identifying local government challenges for using digital platforms for citizen engagement. International Journal of Information Management, 40, 17–20. https://doi.org/10.1016/j.ijinfomgt.2018.01.003 DOI: https://doi.org/10.1016/j.ijinfomgt.2018.01.007
Hassan, L., & Hamari, J. (2020). Gameful civic engagement: A review of the literature on gamification of e-participation. Government Information Quarterly, 37(3), 101461. https://doi.org/10.1016/j.giq.2020.101461 DOI: https://doi.org/10.1016/j.giq.2020.101461
Hwang, B.-G., & Low, L. K. (2012). Construction project change management in Singapore: Status, importance and impact. International Journal of Project Management, 30(7), 817–826. https://doi.org/10.1016/j.ijproman.2011.11.004 DOI: https://doi.org/10.1016/j.ijproman.2011.11.001
Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet allocation (LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications, 78, 15169–15211. https://doi.org/10.1007/s11042-018-6894-4 DOI: https://doi.org/10.1007/s11042-018-6894-4
Liu, C., & Zowghi, D. (2023). Citizen involvement in digital transformation: A systematic review and a framework. Online Information Review, 47(4), 644–660. https://doi.org/10.1108/OIR-12-2021-0656 DOI: https://doi.org/10.1108/OIR-04-2022-0237
Mehta, V., Agarwal, M., & Kaliyar, R. K. (2024). A comprehensive and analytical review of text clustering techniques. International Journal of Data Science and Analytics, 1–20. https://doi.org/10.1007/s41060-023-00456-6
Mento, A., Jones, R., & Dirndorfer, W. (2002). A change management process: Grounded in both theory and practice. Journal of Change Management, 3(1), 45–59. https://doi.org/10.1080/714042520 DOI: https://doi.org/10.1080/714042520
Nicoletti, R. S., Souza, A. S. C. de, & Rossi, A. (2023). Effective width of steel-concrete composite box girder bridges: A review and method comparison. Acta Scientiarum. Technology, 46(1), e64764. https://doi.org/10.4025/actascitechnol.v46i1.64764 DOI: https://doi.org/10.4025/actascitechnol.v46i1.64764
Pohontsch, N. J. (2019). Qualitative content analysis. Rehabilitation, 58(6), 413–418. https://doi.org/10.1055/a-0943-8648 DOI: https://doi.org/10.1055/a-0801-5465
Purwanto, A., Zuiderwijk, A., & Janssen, M. (2020). Citizen engagement with open government data: Lessons learned from Indonesia’s presidential election. Transforming Government: People, Process and Policy, 14(1), 1–30. https://doi.org/10.1108/TG-06-2019-0054 DOI: https://doi.org/10.1108/TG-06-2019-0051
Qaiser, S., & Ali, R. (2018). Text mining: Use of TF-IDF to examine the relevance of words to documents. International Journal of Computer Applications, 181(1), 25–29. https://doi.org/10.5120/ijca2018917395 DOI: https://doi.org/10.5120/ijca2018917395
Rueckel, D., Muehlburger, M., & Koch, S. (2020). An updated framework of factors enabling digital transformation. Pacific Asia Journal of the Association for Information Systems, 12(4). https://doi.org/10.17705/1pais.12401 DOI: https://doi.org/10.17705/1pais.12401
Sánchez-Corcuera, R., Nuñez-Marcos, A., Sesma-Solance, J., Bilbao-Jayo, A., Mulero, R., Zulaika, U., Azkune, G., & Almeida, A. (2019). Smart cities survey: Technologies, application domains and challenges for the cities of the future. International Journal of Distributed Sensor Networks, 15(6), 1550147719853984. https://doi.org/10.1177/1550147719853984 DOI: https://doi.org/10.1177/1550147719853984
Saxena, D., Muzellec, L., & McDonagh, J. (2022). From bureaucracy to citizen-centricity: How the citizen-journey should inform the digital transformation of public services. International Journal of Electronic Government Research, 18(1), 1–17. https://doi.org/10.4018/IJEGR.295954 DOI: https://doi.org/10.4018/IJEGR.305230
Sestino, A., Prete, M. I., Piper, L., & Guido, G. (2020). Internet of Things and Big Data as enablers for business digitalization strategies. Technovation, 98, 102173. https://doi.org/10.1016/j.technovation.2020.102173 DOI: https://doi.org/10.1016/j.technovation.2020.102173
Simonofski, A., Vallé, T., Serral, E., & Wautelet, Y. (2021). Investigating context factors in citizen participation strategies: A comparative analysis of Swedish and Belgian smart cities. International Journal of Information Management, 56, 102011. https://doi.org/10.1016/j.ijinfomgt.2020.102011 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.09.007
Sujova, A., & Rajnoha, R. (2012). The management model of strategic change based on process principles. Procedia - Social and Behavioral Sciences, 62, 1286–1291. https://doi.org/10.1016/j.sbspro.2012.09.220 DOI: https://doi.org/10.1016/j.sbspro.2012.09.220
Y?ld?r?m, M. S., Aydin, M. M., & Gökku?, Ü. (2022). Multimethod simulation approach for capacity design of a truck parking area in city ports. Acta Scientiarum. Technology, 44(1), e58110. https://doi.org/10.4025/actascitechnol.v44i1.58110 DOI: https://doi.org/10.4025/actascitechnol.v44i1.58110
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Copyright (c) 2024 Caihua Liu, Quangui Wan, Zhaonian Sun, Shufeng Kong (Autor)
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