The Role of Digital Human Capital in the Relationship between Smart Technologies and Public Value Creation in Iran's Public Sector

Authors

Keywords:

Smart Technologies, Public Value Creation, Digital Human Capital, Smart Government, Social Trust, Transformational Leadership

Abstract

Digital transformation has become one of the most important trends in public governance over the past decade. Governments are striving to enhance the quality of public services, transparency, and citizen satisfaction by utilizing smart technologies such as artificial intelligence, big data, the Internet of Things, and decision support systems. However, global experiences and findings in Iran indicate that the mere introduction of technology does not guarantee public value creation; rather, the success of smart government depends on the interaction between technology, digital human capital, social trust, and transformational leadership. This study aims to explain the mediating role of digital human capital in the relationship between smart technologies and public value creation, as well as to examine the moderating role of social trust and transformational leadership in this relationship. This article is based on the data, conceptual model, and findings of the dissertation "Designing a Public Value Creation Model in the Public Sector Based on Smart Technology." The results showed that smart technologies lead to public value creation only when they are embedded in the context of digital human capital, social trust, and transformational leadership.

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References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. SAGE Publications. https://books.google.com/books?hl=en&lr=&id=LcWLUyXcmnkC&oi=fnd&pg=PP11&dq=Aiken,+L.+S.+and+S.+G.+West+(1991).+Multiple+regression:+Testing+and+interpreting+interactions,+SAGE+Publications.+%09&ots=fqjk0cUX-j&sig=NHDlNm4gJ__v6fBqV681aotrKoY

Bass, B. M., & Avolio, B. J. (1994). Improving organizational effectiveness through transformational leadership. SAGE Publications. https://books.google.com/books?hl=en&lr=&id=_z3_BOVYK-IC&oi=fnd&pg=PP11&dq=Bass,+B.+M.+and+B.+J.+Avolio+(1994).+Improving+organizational+effectiveness+through+transformational+leadership,+SAGE+Publications.+%09&ots=aUy-4aAnPM&sig=8blTXgRn_bGV6rRvGejlo1wQmsM

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Bryson, J. M., Crosby, B. C., & Bloomberg, L. (2014). Public value governance: Moving beyond traditional public administration and the new public management. Public Administration Review, 74(4), 445-456. https://doi.org/10.1111/puar.12238

Bryson, J. M., Crosby, B. C., & Bloomberg, L. (2018). Public value and public administration. Georgetown University Press. https://www.researchgate.net/profile/Timo-Meynhardt/publication/327982683_Public_Value_turning_a_conceptual_Framework_into_a_scorecard/links/5e98486c4585150839e09a81/Public-Value-turning-a-conceptual-Framework-into-a-scorecard.pdf

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Modern Methods for Business Research (pp. 295-336). Lawrence Erlbaum Associates. https://books.google.com/books?hl=en&lr=&id=EDZ5AgAAQBAJ&oi=fnd&pg=PA295&dq=Chin,+W.+W.+(1998).+The+partial+least+squares+approach+to+structural+equation+modeling.+Modern+Methods+for+Business+Research,+Lawrence+Erlbaum+Associates:+295-336.+%09&ots=4axI6qq5el&sig=4wM0YeA9owt6wdbswxMfNidJGSY

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116. https://academichelptoday.com/assets/documents/Artificial_Intelligence_for_the_Real_World_-_HBR.pdf

Demircioglu, M. A. (2024). Artificial intelligence in the public sector: A systematic literature review and research agenda. Public Management Review.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107. https://doi.org/10.1093/biomet/61.1.101

Gil-Garcia, J. R., Dawes, S. S., & Pardo, T. A. (2018). Digital government and public management research: Finding the crossroads. Public Management Review, 20(5), 633-646. https://doi.org/10.1080/14719037.2017.1327181

Grimmelikhuijsen, S. G., & Meijer, A. J. (2014). Effects of transparency on the perceived trustworthiness of a government organization: Evidence from an online experiment. Journal of Public Administration Research and Theory, 24(1), 137-157. https://doi.org/10.1093/jopart/mus048

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications. https://doi.org/10.1007/978-3-030-80519-7

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 29(4), 258-268. https://doi.org/10.1080/10580530.2012.716740

Kelly, G., Mulgan, G., & Muers, S. (2002). Creating public value: An analytical framework for public service reform. https://cdi.mecon.gob.ar/bases/docelec/dp4080.pdf

Lee, J. Y., Kim, B., & Yoon, S. H. (2024). A conceptual digital policy framework via mixed-methods approach: Navigating public value for value-driven digital transformation. Government Information Quarterly, 41(3), 101961. https://doi.org/10.1016/j.giq.2024.101961

Meijer, A. J. (2013). Understanding the complex dynamics of transparency. Public Administration Review, 73(3), 429-439. https://doi.org/10.1111/puar.12032

Moore, M. H. (1995). Creating public value: Strategic management in government. Harvard University Press. https://books.google.com/books?hl=en&lr=&id=itAuEAAAQBAJ&oi=fnd&pg=PR11&dq=Moore,+M.+H.+(1995).+Creating+public+value:+Strategic+management+in+government,+Harvard+University+Press.+%09&ots=UlTBJIh5Sk&sig=2cJIsA52ceyYCjlF3YvpSk-jXG8

Nam, T., & Pardo, T. A. (2011). Conceptualizing smart city with dimensions of technology, people, and institutions. Proceedings of the 12th Annual International Digital Government Research Conference,

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill. https://www.scirp.org/reference/referencespapers?referenceid=1017362

O'Flynn, J. (2007). From new public management to public value: Paradigmatic change and managerial implications. Australian Journal of Public Administration, 66(3), 353-366. https://doi.org/10.1111/j.1467-8500.2007.00545.x

Oecd. (2021). OECD Digital Government Policy Framework.

Piotrowski, S. J., & Van Ryzin, G. G. (2007). Citizen attitudes toward transparency in local government. The American Review of Public Administration, 37(3), 306-323. https://doi.org/10.1177/0275074006296777

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. https://doi.org/10.3758/BRM.40.3.879

Scholl, H. J., & Scholl, M. C. (2014). Smart Governance: A Roadmap for Research and Practice. IConference 2014 Proceedings,

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B, 36(2), 111-147. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x

Talbot, C. (2008). Measuring public value: A competing values approach. http://publiccommons.ca/public/uploads/literature/measuring_pv_final2.pdf

Tolbert, C. J., & Mossberger, K. (2006). The effects of e-government on trust and confidence in government. Public Administration Review, 66(3), 354-369. https://doi.org/10.1111/j.1540-6210.2006.00594.x

Van Wart, M. (2013). Administrative leadership theory: A reassessment after 10 years. Public Administration, 91(3), 521-543. https://doi.org/10.1111/padm.12017

Welch, E. W., Hinnant, C. C., & Moon, M. J. (2005). Linking citizen satisfaction with e-government and trust in government. Journal of Public Administration Research and Theory, 15(3), 371-391. https://doi.org/10.1093/jopart/mui021

Wright, B. E., Moynihan, D. P., & Pandey, S. K. (2012). Pulling the levers: Transformational leadership, public service motivation, and mission valence. Public Administration Review, 72(2), 206-215. https://doi.org/10.1111/j.1540-6210.2011.02496.x

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Hosseinpour, D. ., Raeesi Vanani, I. ., Roodsaz, H. ., & Karimi, A. (2027). The Role of Digital Human Capital in the Relationship between Smart Technologies and Public Value Creation in Iran’s Public Sector. AI and Tech in Behavioral and Social Sciences, 1-13. https://journals.kmanpub.com/index.php/aitechbesosci/article/view/5868