This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Anagnoste, S., 2017. Robotic Automation Process-The next major revolution in terms of back-office operations improvement, in: Proceedings of the International Conference on Business Excellence. pp. 676–686.Search in Google Scholar
Bequé, A., Coussement, K., Gayler, R. and Lessmann, S., 2017. Approaches for credit scorecard calibration: An empirical analysis. Knowledge-Based Systems, 134, 213-227.Search in Google Scholar
Blei, D. M., Ng, A. Y. and Jordan, M. I., 2003. Latent Dirichlet Allocation. The Journal of Machine Learning Research, 3, 993–1022.Search in Google Scholar
Bonnet, D., Westerman, G., 2020. The New Elements of Digital Transformation. MIT Sloan Management Review.Search in Google Scholar
Crone, S. F., Lessmann, S., and Stahlbock, R. 2006. The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. European Journal of Operational Research, 173(3), 781-800.Search in Google Scholar
de Hond, A.A., Leeuwenberg, A.M., Hooft, L., Kant, I.M., Nijman, S.W., van Os, H.J., Aardoom, J.J., Debray, T.P., Schuit, E., van Smeden, M. and Reitsma, J.B., 2022. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ digital medicine, 5(1), p.2.Search in Google Scholar
Dilmegani, C., 2023. ChatGPT education use cases, benefits & challenges in 2023. AI Multiple.Search in Google Scholar
Gao, S., Kollmannsberger, S. and Meschke, G., 2019. AI in Construction Engineering and Management: Validation Challenges and Opportunities. Journal of Construction Engineering and Management, 145(10). DOI:10.1061/(ASCE)CO.1943-7862.0001697.Search in Google Scholar
Glennon, D., Kiefer, N. M., Larson, C. E. and Choi, H. S., 2008. Development and validation of credit scoring models. Journal of Credit Risk, Forthcoming.Search in Google Scholar
Huang, E. and Scott, C., 2007. Credit risk scorecard design, validation and user acceptance. HBOS Bank.Search in Google Scholar
Kalra, N. and Paddock, S.M., 2016. Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?. Transportation Research Part A: Policy and Practice, 94, pp.182-193. DOI:10.1016/j.tra.2016.09.010.Search in Google Scholar
Koopman, P. and Wagner, M., 2016. Challenges in Autonomous Vehicle Testing and Validation. SAE International Journal of Transportation Safety, 4(1), 15-24. DOI:10.4271/2016-01-0128.Search in Google Scholar
Menghi, C., Nejati, S., Gaaloul, K. and Briand, L. C., 2019. Generating Automated and Online Test Oracles for Simulink Models with Continuous and Uncertain Behaviors. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. DOI:10.1145/3338906.3338955. Search in Google Scholar
Myllyaho, L., Raatikainen, M., Männistö, T., Mikkonen, T. and Nurminen, J. K., 2021. Systematic literature review of validation methods for AI systems. Journal of Systems and Software, 181, 111050.Search in Google Scholar
Nardo, M., Saisana, M., Saltelli, A. and Tarantola, S., 2005. Tools for composite indicators building. European Comission, Ispra, 15(1), 19-20.Search in Google Scholar
Patrício, L., Ávila, P., Varela, L., Cruz-Cunha, M.M., Ferreira, L.P., Bastos, J., Castro, H. and Silva, J., 2023. Literature review of decision models for the sustainable implementation of Robotic Process Automation. Procedia Computer Science, 219, pp.870-878. https://doi.org/10.1016/j.procs.2023.01.362Search in Google Scholar
Policarpo, L.M., da Silveira, D.E., da Rosa Righi, R., Stoffel, R.A., da Costa, C.A., Barbosa, J.L.V., Scorsatto, R. and Arcot, T., 2021. Machine learning through the lens of e-commerce initiatives: An up-to-date systematic literature review. Computer Science Review, 41, p.100414.Search in Google Scholar
Pozdnyakova, U.A., Mukhomorova, I.V., Golikov, V.V., Sazonov, S.P. and Pleshakov, G.G., 2019. Internet of things as a new factor of production in the conditions of digital economy. Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT, pp.1145-1151.Search in Google Scholar
Quille, R.V.E., Almeida, F.V.D., Borycz, J., Corrêa, P.L.P., Filgueiras, L.V.L., Machicao, J., Almeida, G.M.D., Midorikawa, E.T., Demuner, V.R.D.S., Bedoya, J.A.R. and Vajgel, B., 2023. Performance Analysis Method for Robotic Process Automation. Sustainability, 15(4), p.3702. https://doi.org/10.3390/su15043702Search in Google Scholar
Siddiqi, N., 2017. Intelligent credit scoring: Building and implementing better credit risk scorecards. John Wiley & Sons.Search in Google Scholar
UiPath White Paper - Identifying the Real Business Outcomes of Automation, 2023. https://www.uipath.com/resources/automation-whitepapers/identifying-the-real-business-outcomes-of-automation (Accessed: 3 November 2023)Search in Google Scholar
Roberts, M.E., Stewart, B.M., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S.K., Albertson, B. and Rand, D.G., 2014. Structural topic models for open-ended survey responses. American journal of political science, 58(4), pp.1064-1082.Search in Google Scholar
Sagina, D.M., 2022. Pengaruh Kepemilikan Keluarga, Leverage, Dan Pengungkapan Corporate Social Responsibility (CSR) Terhadap Tax Avoidance Dengan Kepemilikan Insititutional Sebagai Variabel Moderasi (Studi Pada Perusahaan Sektor Industri Dasar, Kimia, dan Pertambangan Yang Terdaftar di Bursa Efek Indonesia Tahun 2021) (Doctoral dissertation, Universitas Muhammadiyah Malang).Search in Google Scholar
Varela, L., Ávila, P., Castro, H., Putnik, G.D., Fonseca, L.M.C. and Ferreira, L., 2022. Manufacturing and management paradigms, methods and tools for sustainable industry 4.0-oriented manufacturing systems. Sustainability, 14(3), p.1574. https://doi.org/10.3390/su14031574Search in Google Scholar
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S.D., Tegmark, M. and Fuso Nerini, F., 2020. The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), pp.1-10. https://doi.org/10.1038/s41467-019-14108-ySearch in Google Scholar
Warhurst, C. and Hunt, W., 2019. The digitalisation of future work and employment: Possible impact and policy responses (No. 2019/05). JRC Working Papers Series on Labour, Education and Technology.Search in Google Scholar
https://www.automationanywhere.com/resources (Accessed: 1 November 2023)Search in Google Scholar
https://www.statista.com/statistics/1259903/robotic-process-automation-market-size-worldwide/ (Accessed: 15 October 2023)Search in Google Scholar