Agarwal, R., Gao, G. G., DesRoches, C., & Jha, A. K. (2010). The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21(4), 796–809. https://doi.org/10.1287/isre.1100.0327
Ahmad, G. N., Widyastuti, U., Susanti, S., & Mukhibad, H. (2020). Determinants of the islamic financial literacy. Accounting, 6(6), 961–966. https://doi.org/10.5267/j.ac.2020.7.024
Alkhwaldi, A. F., Alobidyeen, B., Abdulmuhsin, A. A., & Al-Okaily, M. (2023). Investigating the antecedents of HRIS adoption in public sector organizations: integration of UTAUT and TTF. International Journal of Organizational Analysis, 31(7), 3251–3274. https://doi.org/10.1108/IJOA-04-2022-3228
Alolabi, Y. A., Ayupp, K., & Al Dwaikat, M. (2021). Issues and implications of readiness to change. Administrative Sciences, 11(4), 140. https://doi.org/10.3390/admsci11040140
Alvarenga, A., Matos, F., Godina, R., & Matias, J. C. O. (2020). Digital transformation and knowledge management in the public sector. Sustainability (Switzerland), 12(14), 5824. https://doi.org/10.3390/su12145824
Blut, M., & Wang, C. (2020). Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48(4), 649–669. https://doi.org/10.1007/s11747-019-00680-8
Broderick, R., & Boudreau, J. W. (1992). Human resource management, information technology, and the competitive edge. Academy of Management Perspectives, 6(2), 7–17. https://doi.org/10.5465/ame.1992.4274391
Caldeira, M. M., & Ward, J. M. (2002). Understanding the successful adoption and use of IS/IT in SMEs: An explanation from Portuguese manufacturing industries. Information Systems Journal, 12(2), 121–152. https://doi.org/10.1046/j.1365-2575.2002.00119.x
Crook, T. R., Todd, S. Y., Combs, J. G., Woehr, D. J., & Ketchen, D. J. (2011). Does human capital matter? a meta-analysis of the relationship between human capital and firm performance. Journal of Applied Psychology, 96(3), 443–456. https://doi.org/10.1037/a0022147
Curtis, S. (2019). Digital transformation—the silver bullet to public service improvement? Public Money and Management, 39(5), 322–324. https://doi.org/10.1080/09540962.2019.1611233
da Silva, L. B. P., Soltovski, R., Pontes, J., Treinta, F. T., Leitão, P., Mosconi, E., de Resende, L. M. M., & Yoshino, R. T. (2022). Human resources management 4.0: Literature review and trends. Computers and Industrial Engineering, 168, 108111. https://doi.org/10.1016/j.cie.2022.108111
Eom, S. J., & Lee, J. (2022). Digital government transformation in turbulent times: Responses, challenges, and future direction. In Government Information Quarterly (Vol. 39, Issue 2, p. 101690). Elsevier. https://doi.org/10.1016/j.giq.2022.101690
Erdoǧmu, N., & Esen, M. (2011). An investigation of the effects of technology readiness on technology acceptance in e-HRM. Procedia - Social and Behavioral Sciences, 24, 487–495. https://doi.org/10.1016/j.sbspro.2011.09.131
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
Genoveva, Syahrivar, J., & Ariestiningsih, E. S. (2023). Technology Readiness During the COVID-19 Pandemic: Lessons Learned from Indonesia. CommIT Journal, 17(1), 93–102. https://doi.org/10.21512/commit.v17i1.8068
Ghozali, I. (2009). Econometrics theory, concepts, and applications with SPSS 17. In Semarang: Badan Penerbit Universitas Diponegoro.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: Global edition. NJ: Pearson Higher Education Upper Saddle River.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. Cengage. https://books.google.co.id/books?id=0R9ZswEACAAJ
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). Upper Saddle River, NJ: Pearson Prentice Hall.
Harman, H. H. (1976). Modern factor analysis. University of Chicago press.
Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106
Indonesia. (2022). Laporan Pelaksanaan Pemantauan dan Evaluasi SPBE 2022. https://www.menpan.go.id/site/publikasi/unduh-dokumen/buku/file/6796-5-buku-laporan-pelaksanaan-pemantauan-dan-evaluasi-spbe-tahun-2022
Jacobson, E. H. (1957). The effect of changing industrial methods and automation on personnel. Symposium on Preventive and Social Psychiatry, Washington, DC.
Kassim, N. M., Ramayah, T., & Kurnia, S. (2012). Antecedents and outcomes of human resource information system (HRIS) use. International Journal of Productivity and Performance Management, 61(6), 603–623. https://doi.org/10.1108/17410401211249184
Kraiger, K., Passmore, J., Santos, N. R. dos, & Malvezzi, S. (2014). The Psychology of Training, Development, and Performance Improvement. In The Wiley Blackwell Handbook of the Psychology of Training, Development, and Performance Improvement. https://doi.org/10.1002/9781118736982.ch1
Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for digital transformation. MIS Quarterly, 40(2), 267–278. https://doi.org/10.25300/misq/2016/40:2.03
Mauro, T. G., & Borges-Andrade, J. E. (2020). Human resource system as innovation for organisations. Innovation & Management Review, 17(2), 197–214. https://doi.org/10.1108/INMR-03-2019-0037
Munir, M., & Djaelani, M. (2022). Information Technology and Repositioning of Human Resource Management Functions. Journal of Social Science Studies (JOS3), 2(2), 50–55. https://doi.org/10.56348/jos3.v2i2.28
Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2014). Learning in the twenty-first-century workplace. Annu. Rev. Organ. Psychol. Organ. Behav., 1(1), 245–275. https://doi.org/10.1146/annurev-orgpsych-031413-091321
Nugroho, M. A., & Andryzal Fajar, M. (2017). Effects of Technology Readiness Towards Acceptance of Mandatory Web-Based Attendance System. Procedia Computer Science, 124, 319–328. https://doi.org/10.1016/j.procs.2017.12.161
Odlum, M. (2016). Technology readiness of early career nurse trainees: Utilization of the Technology Readiness Index (TRI). In Studies in Health Technology and Informatics (Vol. 225, pp. 314–318). IOS Press. https://doi.org/10.3233/978-1-61499-658-3-314
Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
Peng, M. Y. P., & Yan, X. (2022). Exploring the Influence of Determinants on Behavior Intention to Use of Multiple Media Kiosks Through Technology Readiness and Acceptance Model. Frontiers in Psychology, 13, 852394. https://doi.org/10.3389/fpsyg.2022.852394
Presidential Regulation No. 86 Year 2007 about Badan Pusat Statistik, Pub. L. No. 86 (2007). https://peraturan.bpk.go.id/Details/42158/perpres-no-86-tahun-2007
Rajawat, M. S., & Sharma, N. (2022). Statistical Analysis and Significance of Information and Communication Technology based Improved Human Resource Information System (HRIS) in HR Performance for Banking and Financial Systems. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 243–247. https://ijisae.org/index.php/IJISAE/article/view/2287
Sidek, S., Rahman, A. A., & Saif, A. N. M. (2022). HRIS implementation in apparel manufacturing industry of developing economy: Identification of challenges through qualitative systematic review and bibliographic exploration. International Journal of Business Information Systems, 1(1), 1. https://doi.org/10.1504/ijbis.2022.10049738
Taherdoost, H. (2019). What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / AttitudeScale / Likert Scale. International Journal of Academic Research in Management (IJARM), 8(1), 2296–1747. https://hal.science/hal-02557308
Taib, A., Awang, Y., Shuhidan, S. M., Rashid, N., & Hasan, M. S. (2022). Digitalization in Accounting: Technology Knowledge and Readiness of Future Accountants. Universal Journal of Accounting and Finance, 10(1), 348–357. https://doi.org/10.13189/ujaf.2022.100135
Tannenbaum I. Scott. (1990). Human Resource Information Systems User Group Implications. Journal of Systems Management, 41(1), 27–27.
Tansey, O. (2009). Process Tracing and Elite Interviewing: A Case for Non-probability Sampling BT - Methoden der vergleichenden Politik- und Sozialwissenschaft: Neue Entwicklungen und Anwendungen (S. Pickel, G. Pickel, H.-J. Lauth, & D. Jahn (eds.); pp. 481–496). VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-91826-6_24
Troshani, I., Jerram, C., & Hill, S. R. (2011). Exploring the public sector adoption of HRIS. Industrial Management and Data Systems, 111(3), 470–488. https://doi.org/10.1108/02635571111118314
Tsaramirsis, G., Kantaros, A., Al-Darraji, I., Piromalis, D., Apostolopoulos, C., Pavlopoulou, A., Alrammal, M., Ismail, Z., Buhari, S. M., Stojmenovic, M., Tamimi, H., Randhawa, P., Patel, A., & Khan, F. Q. (2022). A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management. Journal of Sensors, 2022(1), 5023011. https://doi.org/10.1155/2022/5023011
Weiner, B. J. (2009). A theory of organizational readiness for change. Implementation Science, 4(1), 67. https://doi.org/10.1186/1748-5908-4-67
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care, 8(3), 1–13. https://doi.org/10.33151/ajp.8.3.93
Xiao, J., Han, L., & Zhang, H. (2022). Exploring Driving Factors of Digital Transformation among Local Governments: Foundations for Smart City Construction in China. Sustainability (Switzerland), 14(22), 14980. https://doi.org/10.3390/su142214980
Zaman, M., Novitasari, D., Goestjahjanti, F. S., Fahlevi, M., Nadeak, M., Fahmi, K., Setiawan, T., & Asbari, M. (2020). Effect of readiness to change and effectiveness of transformational leadership on workers’ performance during COVID-19 pandemic. Solid State Technology, 63(1), 185–200.