Factores determinantes de la Analítica de Recursos Humanos y su impacto en el desempeño organizacional
Un estudio empírico
Palabras clave:
gestión de los recursos humanos, difusión de tecnologías, análisis de datosResumen
El objetivo de esta investigación es identificar los factores que determinan la intención de adopción de la analítica de recursos humanos (HRA) y su impacto en el desempeño organizacional. A partir de la aplicación de un cuestionario, diseñado a partir de la revisión de literatura, y contestado por 202 gerentes se logra identificar mediante análisis de factores exploratorio, una estructura de cuatro factores: Influencia Social, Expectativa de esfuerzo, Expectativa de desempeño y Actitud hacia el uso de la HRA. Así mismo, con base en el análisis factorial confirmatorio, se encuentra que la Influencia Social es la que presenta una relación significativa con la Intención de Adopción de HRA, siendo moderadora de los demás factores. Mediante un análisis de regresión se confirma que la intención de adopción de HRA tiene un impacto positivo sobre el desempeño organizacional, medido a partir del Desempeño Organizacional Percibido y el Desempeño de Mercado Percibido.
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Agirre-Aramburu, I., Freundlich, F., & Blázquez-Díaz, T. (2024). Managerial perspectives on human resource practice interaction effects and organizational performance in SMEs. Intangible Capital, 20(1), 215-235. https://doi.org/10.3926/ic.2418
Ajzen I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2: 314-324. https://doi.org/10.1002/hbe2.195
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In: Kuhl, J., Beckmann, J. (eds) Action Control. SSSP Springer Series in Social Psychology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
Alrowwad, A., Abualoush, S.H. & Masa'deh, R. (2020). Innovation and intellectual capital as intermediary variables among transformational leadership, transactional leadership, and organizational performance. Journal of Management Development, 39(2), 196-222. https://doi.org/10.1108/JMD-02-2019-0062
Al-Tit, A. (2017). Factors affecting the organizational performance of manufacturing firms. International Journal of Engineering Business Management, 9, 1-9. https://doi.org/10.1177/1847979017712628
Ameer, R. & Garg, P. (2022). Factors Impacting Adoption of Human Resource Analytics among HR Professionals in India. Transnational Marketing Journal, 10(3), 623-635. https://doi.org/10.33182/tmj.v10i3.2441
Ayaz, A. & Yanartas, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2(100032), 1-7. https://doi.org/10.1016/j.chbr.2020.100032
Bach, M.P.; Čeljo, A. & Zoroja, J. (2016). Technology Acceptance Model for Business Intelligence Systems: Preliminary Research. Procedia Computer Science, 100, 995-1001. https://doi.org/10.1016/j.procs.2016.09.270
Baker, J. (2012). The Technology–Organization–Environment Framework. In: Dwivedi, Y., Wade, M., Schneberger, S. (eds) Information Systems Theory. Integrated Series in Information Systems, 28, cap. 12, 231-245. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6108-2_12
Bonilla-Chaves, E.; Palos-Sánchez, P.; Folgado-Fernández, J. & Marino-Romero, J. (2024). The effect of innovation performance on the adoption of human resources analytics in business organizations. Electronic Research Archive, 32(2), 1126-1144. https://doi.org/10.3934/era.2024054
Carmeli, A., Gilat, G., & Waldman, D. A. (2007). The Role of Perceived Organizational Performance in Organizational Identification, Adjustment and Job Performance. Journal of Management Studies, 44(6), 972–992. https://doi.org/10.1111/j.1467-6486.2007.00691.x
Castro, M. & Miranda, H. (2021). La urbanización en Ecuador y la importancia de la planificación estatal en la creación de una ciudad intermedia (2007-2017): el caso de Milagro. Territorios, (44), 113-141. https://doi.org/10.12804/revistas.urosario.edu.co/territorios/a.9202
Chen, X.X. & Slade, E. (2024) Theory of Planned Behaviour: A review. In S. Papagiannidis (Ed), TheoryHub Book. https://open.ncl.ac.uk
Chhetri, S. D., Kumar, D., & Ranabhat, D. (2024). Investigating research in human resource analytics through the lens of systematic literature review. Human Systems Management, 43(5), 755-771. https://doi.org/10.3233/HSM-230004
Coolen, P.; van den Heuvel, S.; Van De Voorde, K. & Paauwe, J. (2023). Understanding the adoption and institutionalization of workforce analytics: A systematic literature review and research agenda. Human Resource Management Review, 33(4), 100985. https://doi.org/10.1016/j.hrmr.2023.100985
Darwish, T. K., Singh, S., & Wood, G. (2015). The Impact of Human Resource Practices on Actual and Perceived Organizational Performance in a Middle Eastern Emerging Market. Human Resource Management, 55(2), 261–281. https://doi.org/10.1002/hrm.21664
Dasari, S. R., & Devi, V. R. (2024). Organizational Adoption Factors of HR Analytics: A Practitioner’s Perspective. Management and Labour Studies, 0(0). https://doi.org/10.1177/0258042X241249244
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. Journal Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Delaney, J.T. & Huselid, M.A. (1996). The Impact of Human Resource Management Practices on Perceptions of Organizational Performance. The Academy of Management Journal, 39(4), 949-969. https://doi.org/10.2307/256718
Drago, H.F., de Moura, G.L., da Silva, L.S.C.V.; da Veiga, C.P.; Kaczam, F.; Santa Rita, L.P.; da Silva, W.V. (2023). Reviewing the relationship between organizational performance, dynamic capabilities and strategic behavior. SN Business & Economics, 3, 5 (2023). https://doi.org/10.1007/s43546-022-00392-2
Dwivedi, Y.K.; Rana, N.P.; Jeyaraj, A.; Clement, M. & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21 (), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Eger, L., & Žižka, M. (2024). Industry 4.0, digital transformation and human re-source management: Emerging themes and research trends in the context of the Visegrad countries. Oeconomia Copernicana, 15(3),1021–1065. https://doi.org/10.24136/oc.3034
Ekka, S. & Singh, P. (2022). Predicting HR Professionals’ Adoption of HR Analytics: An Extension of UTAUT Model. Organizacija, 55(1), 77-93. https://doi.org/10.2478/orga-2022-0006
ElBadaway, G.; Amr, M.; Farouk, M.; Talaat, N.; Walid, N. & AbdelRaheem, Z. (2024). The Effect of Organizational Agility on Organizational Performance. Journal of Advances in Economics and Business Studies, 1(1), 1-28. https://journals.ekb.eg/article_386227_c92fbe22399ea0d13d9f668507bca0a5.pdf
Fenwick, A., Molnar, G., & Frangos, P. (2024). Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace. Frontiers in artificial intelligence, 6, 1272823. https://doi.org/10.3389/frai.2023.1272823
Fernández-Solís, C., González-Ramírez, R. y Gascó-Gascó, J. (2025). La intención de adopción de la analítica de recursos humanos y su impacto en el desempeño organizacional: una aproximación teórica. INNOVA Research Journal, 10(1), 93-111. https://doi.org/10.33890/innova.v10.n1.2025.2706
Ferrando P. J. (2021). Seven Decades of Factor Analysis: From Yela to the Present Day. Psicothema, 33(3), 378–385. https://doi.org/10.7334/psicothema2021.24
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley.
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Psychology Press. https://doi.org/10.4324/9780203838020
Galang, M. C., & Osman, I. (2015). HR managers in five countries: what do they do and why does it matter? The International Journal of Human Resource Management, 27(13), 1341–1372. https://doi.org/10.1080/09585192.2015.1072
Guo, Q. & Huang, W. (2024). Analyzing the Diffusion of Innovations Theory. Scientific and Social Research, 6(12), 95-98. https://doi.org/10.26689/ssr.v6i12.8947
Gupta, S., Mathur, N. & Narang, D. (2023). E-leadership and virtual communication adoption by educators: an UTAUT3 model perspective. Global Knowledge, Memory and Communication, 72(8/9), 902-919. https://doi.org/10.1108/GKMC-01-2022-0001
Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2018). Multivariate Data Analysis, 8thEdition. Pearson Prentice Hall.
Hakim, A. N. & Madyatmadja, E. D. (2023). Examining the Employees’ Acceptance of Human Resource Information Systems: An Empirical Study with UTAUT Model. Journal of System and Management Sciences, 13(4), 40-58. https://doi.org/10.33168/JSMS.2023.0403
Halawi, A., Rasheed, R., & Belushi, B. A. (2024). The Effect of Human Resource Analytics on Employee Performance. Revista de Gestão Social e Ambiental, 18(5), e05569. https://doi.org/10.24857/rgsa.v18n5-060
Hamann, P.M. & Schiemann, F. (2021). Organizational performance as a set of four dimensions: An empirical analysis. Journal of Business Research, 127(4), 45-65. https://doi.org/10.1016/j.jbusres.2021.01.012
Harlianto, J., Rahim, R.K., Hamsal, M., Furinto, A. (2024). The Lagging of HR Analytics Adoption Rate: Understanding from Individual Attitude of HR Professionals. En: Busu, M. (eds) Rethinking Business for Sustainable Leadership in a VUCA World. ICBE 2023. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-50208-8_13
Hauff, S., Alewell, D., & Hansen, N. K. (2018). Further exploring the links between high-performance work practices and firm performance: A multiple-mediation model in the German context. German Journal of Human Resource Management, 32(1), 5-26. https://doi.org/10.1177/2397002217728251
Hox, J.J. (2021). Confirmatory Factor Analysis. En C. Barnes, David R. Forde (Eds.) The Encyclopedia of Research Methods in Criminology and Criminal Justice, Cap. 158. https://doi.org/10.1002/9781119111931.ch158
Hülter, S. M.; Ertel, C. & Heidemann, A. (2024). Exploring the individual adoption of human resource analytics: Behavioural beliefs and the role of machine learning characteristics. Technological Forecasting and Social Change, 208, 123709. https://doi.org/10.1016/j.techfore.2024.123709
Jashari, A., & Kutllovci, E. (2020). The impact of human resource management practices on organizational performance case study: manufacturing enterprises in Kosovo. Business: Theory and Practice, 21(1), 222-229. https://doi.org/10.3846/btp.2020.12001
Juchnowicz, M., Kinowska, H. & Gąsiński, H. (2024). The importance of emotions in contemporary human resource management. Central European Management Journal, 32(3), 408-420. https://doi.org/10.1108/CEMJ-05-2023-0202
Kale, H.; Aher, D. & Anute, N. (2022). HR Analytics and its impact on organizations performance. International Journal of Research and Analytical Reviews, 9(3), 619-630. http://www.ijrar.org/IJRAR22C1936.pdf
Kess-Momoh, A.J.; Tula, A.T.; Bello, B.G.; Omotoye, G.B. & Ifesinachi D., DA. (2024). Strategic human resource management in the 21st century: A review of trends and innovations. World Journal of Advanced Research and Reviews, 21(01), 746-757. https://doi.org/10.30574/wjarr.2024.21.1.0105
Kiran, P.; Sujitha, S.; Anisha, S. & Vasantha, S. (2023). Effect of HR Analytics, Human Capital Management on Organisational Performance. Journal for Educators, Teachers and Trainers, 14(2). 117-129. https://doi.org/10.47750/jett.2023.14.02.011
Knies, E.; Jacobsen, C.B. & Tummers, L. (2016). Leadership and Organizational Performance: State of the Art and Research Agenda. En: Storey, J., Denis, J.L., Hartley, J. & ‘t Hart, P. (Eds.). Routledge Companion to Leadership (pp. 404-418). Routledge. https://doi.org/10.4324/9781315739854
Kondeti, M. & Reddy, T. N. (2024). Factors Influencing Adoption of HR Analytics in IT Industry. European Economic Letters, 14(4), 196–201. https://doi.org/10.52783/eel.v14i4.2112
Kosasih, K. (2024). The Role of Human Resource Management in Sustainable Development: A Systematic Literature Review. (2024). Economics Studies and Banking Journal, 1(2), 61-74. https://doi.org/10.62207/q4jya069
Lee, G.; Sukhumpong, C. & Kulpornpath, W. (2023). Human resource management and organizational performance. International Journal of Advanced Research, 11(5), 872-881. http://dx.doi.org/10.21474/IJAR01/16940
Lévy, J. (2003). Modelización y análisis con ecuaciones estructurales. En: Lévy, J. & Varela, J. (Coords.) Análisis Multivariable para las Ciencias Sociales. Pearson Educación.
Listiyani, S. R. & Princes, E. (2024). The Unified Theory of Acceptance and use of Technology (UTAUT) Modelon the Quality of Employee Information Service Sites and Learning Centers at XYZ Company. Journal of System and Management Sciences, 14(10), 333-349. https://doi.org/10.33168/JSMS.2024.10xx
Lloret-Segura, S.; Ferreres-Traver, A.; Hernández-Baeza, A. & Tomás-Marco, I. (2014). El Análisis Factorial Exploratorio de los Ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://dx.doi.org/10.6018/analesps.30.3.199361
Lochab, A.; Kumar, S. & Himanshi, T. (2020). Dilemma to decision: Human resource analytics for organizational performance-an empirical analysis. Asian Journal of Multidimensional Research, 9(2), 143-151. https://doi.org/10.5958/2278-4853.2020.00028.2
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), 3-9. https://doi.org/10.1177/0146167292181001
Mandal, T.K. & Chanodkar, A. (2024). Impact of HR Practices on Organizational Performance – A Review. Unnayan “International bulletin of management and economics”, 16(1), 73-88. https://www.ipsacademy.org/unnayan/
Márquez, J.; Gallego, C.; Tapia, A. & Schlosse, M. (2024). Applying the technology acceptance model to online self-learning: A multi group analysis. Journal of Innovation & Knowledge, 9 (2024) 1005712. https://doi.org/10.1016/j.jik.2024.1005712
Martín-Alcázar, F., Ruiz-Martínez, M. & Sánchez-Gardey, G. (2024). Research across disciplines: influence of human resource management practices. Management Decision, 62(13), 26-45. https://doi.org/10.1108/MD-03-2023-0397
Mattalatta, M., & Andriani, Y. (2023). Influence of Human Resource Management on Organizational Performance with Talent Management Mediation. Innovation Business Management and Accounting Journal, 2(3), 147-156. https://doi.org/10.56070/ibmaj.v2i3.53
Mbatha, B. (2024). Diffusion of Innovations: How Adoption of New Technology Spreads in Society. En: Ocholla, D., Onyancha, O.B., Adesina, A.O. (eds) Information, Knowledge, and Technology for Teaching and Research in Africa. Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer, Cham. https://doi.org/10.1007/978-3-031-60267-2_1
McCartney, S. & Fu, N. (2022). Bridging the gap: why, how and when HR analytics can impact organizational performance. Management Decision, 60(13), 25-47. https://doi.org/10.1108/MD-12-2020-1581
Méndez, A. (2024). El análisis factorial: una introducción conceptual para la enseñanza y aprendizaje. Enseñanza e Investigación en Psicología Nueva Época, 6(1), 1-13. https://doi.org/10.62364/cneip.6.1.2024.240
Mensah, I. K., & Khan, M. K. (2024). Unified Theory of Acceptance and Use of Technology (UTAUT) Model: Factors Influencing Mobile Banking Services’ Adoption in China. Sage Open, 14(1). https://doi.org/10.1177/21582440241234230
Miranda, N. & Fernando, W. R. P. K. (2020). The Impact of Human Resource Management Practices of the Managers on Perceived Organizational Performance—A Study on Ceylon Fisheries Corporation in Sri Lanka. Open Access Library Journal, 7(e7034), 1-21. http://dx.doi.org/10.4236/oalib.1107034
Naik, B. S. (2024). Impact of Artificial Intelligence Technology on HR Practices in Indian IT Companies. Management Journal for Advanced Research, 4(3), 1–5. https://doi.org/10.5281/zenodo.11481464
Natrajan, N.S.; Sanjeev, R. & Jain, R.U. (2024). Sustainability in small and medium enterprises: A circular economy approach using cloud computing. Business Strategy & Development, 7(2), e370. https://doi.org/10.1002/bsd2.370
Natsir, I., Ode, H., Irfana, T. B., Pulungan, D. R., & Sihite, M. (2024). An Analysis of the Role of Human Resource Management in Enhancing Organizational Efficiency and Effectiveness. International Journal of Economics, 3(2), 1089–1097. https://doi.org/10.55299/ijec.v3i2.1097
Nawaz, N.; Arunachalam, H.; Pathi, B.K.& Gajenderan, V. (2024). The adoption of artificial intelligence in human resources management practices. International Journal of Information Management Data Insights, 4(1), 100208. https://doi.org/10.1016/j.jjimei.2023.100208
Nisson, C. & Earl, A. (2021). The Theories of Reasoned Action and Planned Behavior. En The Wiley Encyclopedia of Health Psychology, Kate Sweeny, Megan L. Robbins, Lee M. Cohen (Eds.), p. 755-761, John Wiley & Sons Ltd. https://doi.org/10.1002/9781119057840.ch129
Nnaji, C., Okpala I., Awolusi I., Gambatese, J. (2023). A systematic review of technology acceptance models and theories in construction research. Journal of Information Technology in Construction, 28, 39-69. https://doi.org/10.36680/j.itcon.2023.003
Nye, C. D. (2023). Reviewer Resources: Confirmatory Factor Analysis. Organizational Research Methods, 26(4), 608-628. https://doi.org/10.1177/10944281221120541
Peña-García-Pardo, I. (2009). Dirección estratégica de recursos humanos: revisión teórica y aplicación empírica [Tesis Doctoral, Universidad Castilla-La Mancha]. Repositorio RUIdeRA UCLM. https://ruidera.uclm.es/
Raj, A., Dwivedi, G., Sharma, A., de Sousa, L., Jabbour, A. B., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546. https://doi.org/10.1016/j.ijpe.2019.107546
Restrepo-Morales, J. A., Giraldo-Betancur, E. A., López-Cadavid, D. A., Grados-Vásquez, M. M., & Olórtiga-Cóndor, L. W. (2023). Enhanced Organizational Performance: Integrating Dimensions for Sustainable Growth. Sustainability, 15(21), 15186. https://doi.org/10.3390/su15211518
Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring Organizational Performance: Towards Methodological Best Practice. Journal of Management, 35(3), 718-804. https://doi.org/10.1177/0149206308330560
Rogers, E.M. (2003). Diffusion of innovations. Fifth edition. New York: Free Press.
Roos, J. M. & Bauldry, S. (2022). Confirmatory Factor Analysis. Quantitative Applications in the Social Sciences Serie. Vol. 189. SAGE.
Sakib, M.N., Chowdhury, S.R., Younus, M. et al. (2024). How HR analytics evolved over time: a bibliometric analysis on Scopus database. Future Business Journal, 10(87). https://doi.org/10.1186/s43093-024-00375-9
Salehzadeh, R. & Ziaeian, M. (2024). Decision making in human resource management: a systematic review of the applications of analytic hierarchy process. Frontiers in Psychology, 15, 1400772, 1-18. https://doi.org/10.3389/fpsyg.2024.1400772
Salman, M., Anwar, I., Ganie, S. A., & Saleem, I. (2024). Impact of Human Resource Management Practices on Organizational Performance: Evidence from the Indian Banking Industry. Management and Labour Studies, 49(1), 97-118. https://doi.org/10.1177/0258042X231187224
Satyro, W. C., Contador, J. C., Gomes, J. A., Monken, S. F. d. P., Barbosa, A. P., Bizarrias, F. S., Contador, J. L., Silva, L. S., & Prado, R. G. (2024). Technology-Organization-External-Sustainability (TOES) Framework for Technology Adoption: Critical Analysis of Models for Industry 4.0 Implementation Projects. Sustainability, 16(24), 11064. https://doi.org/10.3390/su162411064
Saxena, M.; Bagga, T.; Gupta, S. & Mittal, A. (2022). Employees’ Experiences of Accepting and Adopting HR Analytics: A Phenomenology Study. Open Psychology Journal, 15(1), e187435012208040. https://doi.org/10.2174/18743501-v15-e2208040
Shrivastava, N. (2024). Adopting HR Analytics: Factors influencing Human Resource Professionals. International Journal of Research and Analytical Reviews, 11(1), 1-11. https://www.ijrar.org/papers/IJRAR1DFP001.pdf
Singh, S.; Srivastava, D.; Verma, M. & Muhuri, S. (2025). Information diffusion analysis: process, model, deployment, and application. The Knowledge Engineering Review, 39(e11), 1-45. https://doi.org/10.1017/S0269888924000109
Singh, T. (2024). The Impact of Artificial Intelligence on Human Resource Practices. International Journal for Multidisciplinary Research, 6(2), 1-17. https://www.ijfmr.com/papers/2024/2/17040.pdf
Stef, A. & Crișan, E.L. (2024). Analysis of the impact of human resources employees’ perceptions on the process of digital transformation. IIMT Journal of Management, en prensa. https://doi.org/10.1108/IIMTJM-02-2024-0023
Szajna, B. (1996). Empirical Evaluation of the Revised Technology Acceptance Model. Management Science, 42(1), 85-92. http://www.jstor.org/stable/2633017
Takahashi, C.K.; Figueiredo, J.C. & Scornavacca, E. (2024). Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications, Technological Forecasting and Social Change, 198, 122991. https://doi.org/10.1016/j.techfore.2023.122991
Tanantong, T., & Wongras, P. (2024). A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand. Systems, 12(1), 28. https://doi.org/10.3390/systems12010028
Tunsi, W.; Tayyoun, R.A.; Othman, M.; Saleh, Y.; Assaf, R.; Bakir, A.; Kanan, M.; Binsaddig, R.; Alramahi, N. & Al-Sartawi, A. (2023). Factors Influencing Adoption of HR Analytics by Individuals and Organizations. Information Sciences Letters, 12(7), 3193-3204. http://dx.doi.org/10.18576/isl/120744 Tornatzky, L.G. & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington Books, Lexington.
Uthman, A. A. (2024). The relevance of human resources management to today’s business environment. International Journal of Social Science and Human Research, 7(5), 2620-2628. https://doi.org/10.47191/ijsshr/v7-i05-10
Vanisree, D., & Vijaya Shree, D. (2024). Role of AI in human resource management. International Journal of Scientific Research in Engineering and Management, 8(4), 1-4. https://doi.org/10.55041/IJSREM31361
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Venkatesh, V.; Thong, J. & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead, Journal of the Association for Information Systems, 17(5), 328-376, https://aisel.aisnet.org/jais/vol17/iss5/1
Wang, L.; Zhou, Y.; Sanders, K.; Marler, J. & Zou, Y. (2024). Determinants of effective HR analytics Implementation: An In-Depth review and a dynamic framework for future research. Journal of Business Research, 170, 114312. https://doi.org/10.1016/j.jbusres.2023.114312
Watkins, M. W. (2018). Exploratory Factor Analysis: A Guide to Best Practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/0095798418771807
Wiguna, S., & Dellyana, D. (2023). Implementation of Theory of Reasoned Action (TRA) to Understand Factors that Influence Working Mothers to Rent Breast Pumps using PLS-SEM. European Journal of Business and Management Research, 8(4), 237-248. https://doi.org/10.24018/ejbmr.2023.8.4.2011
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of enterprise information management, 28(3), 443-488. https://doi.org/10.1108/JEIM-09-2014-0088
Wurster, F., Di Gion, P., Goldberg, N.; Volker Hautsch, V.; Hefter, K.; Herrmann, C. & Langebartels, G.; Pfaf, H. & Karbach, U. (2024). Roger’s diffusion of innovations theory and the adoption of a patient portal’s digital anamnesis collection tool: study protocol for the MAiBest project. Implementation Science Communications, 5(74), 1-8. https://doi.org/10.1186/s43058-024-00614-8
Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review. Sage Open, 14(1), 1-22. https://doi.org/10.1177/21582440241229570
Yzer, M. (2022). Theories of Reasoned Action and Planned Behavior. The International Encyclopedia of Health Communication. https://doi.org/10.1002/9781119678816.iehc0777
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