References
- AAPOR. (2016). Standard definitions: Final dispositions of case codes and outcome rates for surveys (9th ed.). American Association for Public Opinion Research.
- Breusch, T.S., & Pagan, A.R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294. Available at: https://doi.org/10.2307/1911963.
- Chen, S., Zhang, Y., Liang, L., & Shen, T. (2021). Does paradoxical leadership facilitate leaders’ task performance? A perspective of self-regulation theory. International Journal of Environmental Research and Public Health, 18(7), 3505. Available at: https://doi.org/10.3390/ijerph18073505.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
- Creswell, J.W., & Plano Clark, V.L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.
- Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
- Franken, E., Plimmer, G., & Malinen, S. (2020). Paradoxical leadership in public sector organizations: Its role in fostering employee resilience. Australian Journal of Public Administration, 79(1), 93-110. Available at: https://doi.org/10.1111/1467-8500.12396.
- Fetters, M.D., Curry, L.A., & Creswell, J.W. (2013). Achieving integration in mixed methods designs ‒ Principles and practices. Health Services Research, 48(6 Pt 2), 2134-2156. Available at: https://doi.org/10.1111/1475-6773.12117.
- Green, B. (2019). The smart enough city: Putting technology in its place to reclaim our urban future. MIT Press.
- 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. Available at: https://doi.org/10.1093/jopart/mus048.
- Hayes, A.F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press.
- 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. Available at: https://doi.org/10.1080/10705519909540118.
- Kotter, J.P. (2012). Leading change. Harvard Business Review Press.
- Liden, R.C., Sparrowe, R.T., & Wayne, S.J. (1997). Leader-member exchange theory: The past and potential for the future. In G.R. Ferris (Ed.), Research in personnel and human resource management (Vol. 15, pp. 47-119). Bingley, UK: JAI Press.
- Liden, R.C., & Maslyn, J.M. (1998). Multidimensionality of leader-member exchange: An empirical assessment through scale development. Journal of Management, 24(1), 43-72. Available at: https://doi.org/10.1177/014920639802400105.
- MacKinnon, J.G., & White, H. (1985). Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics, 29(3), 305-325. Available at: https://doi.org/10.1016/0304-4076(85)90158-7.
- Matta, F.K., Scott, B.A., Koopman, J., & Conlon, D.E. (2015). Does seeing “eye to eye” affect work behavior? A meta-analytic investigation of LMX agreement. Journal of Applied Psychology, 100(5), 1689-1708. Available at: http://dx.doi.org/10.5465/amj.2014.0106.
- Mueller, J., Renzl, B., & Will, M.G. (2020). Ambidextrous leadership: A meta-review applying static and dynamic multi-level perspectives. Review of Management Science, 14(1), 37-59. Available at: https://doi.org/10.1007/s11846-018-0297-9.
- Richardson, R., Schultz, J.M., & Crawford, K. (2019). Dirty data, bad predictions: How civil rights violations impact predictive policing systems. New York University Law Review Online, 94, 15-42.
- Rubin, D.B. (1987). Multiple imputation for nonresponse in surveys. Wiley. Subramanian, R., Fielding, J., Eisen, L.B., Stroud, H., & King, T. (2022). Research Report. Revenue over public safety. Brennan Center for Justice. Available at: https://www.brennancenter.org/our-work/research-reports/revenue-over-public-safety.
- Sunshine, J., & Tyler, T.R. (2003). The role of procedural justice and legitimacy in shaping public support for policing. Law & Society Review, 37(3), 513-548. Available at: https://doi.org/10.1111/1540-5893.3703002.
- Tyler, T.R., & Huo, Y.J. (2002). Trust in the law: Encouraging public cooperation with the police and courts. Russell Sage Foundation.
- Valderrama, M., Hermosilla, M.P., & Garrido, R. (2023). State of the Evidence: Algorithmic Transparency. Open Government Partnership. Available at: https://www.opengovpartnership.org/documents/state-of-the-evidence-algorithmic-transparency/.
- White, I.R., Royston, P., & Wood, A.M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377-399. Available at: https://doi.org/10.1002/sim.4067.
- Xue, Y., Li, X., Liang, H., & Li, Y. (2020). How Does Paradoxical Leadership Affect Employees’ Voice Behaviors in Workplace? A Leader-Member Exchange Perspective. International Journal of Environmental Research and Public Health, 17(4), 1162. Available at: https://doi.org/10.3390/ijerph17041162.
- Yasmeen, A., & Ajmal, S.K. (2024). How ambidextrous leadership enhances employee creativity: “a quantitative approach”. Evidence-Based HRM, 12(2), 421-440. Available at: https://doi.org/10.1108/EBHRM-09-2022-0221.
- Young, M.M., Bullock, J.B., & Lecy, J.D. (2019). Artificial discretion as a tool of governance: A framework for understanding the impact of artificial intelligence on public administration. Perspectives on Public Management and Governance, 2(4), 301-316. Available at: https://doi.org/10.1093/ppmgov/gvz014.
- Zhang, Y., Waldman, D.A., Han, Y.L., & Li, X.B. (2015). Paradoxical leader behaviors in people management: Antecedents and consequences. Academy of Management Journal, 58(2), 538-566. Available at: https://doi.org/10.5465/amj.2012.0995.