The ongoing dissemination of globalization and digitalization may suggest that personal relationships are becoming less crucial in the context of retail banking and financial services. In Hungary, in addition to private banking, which is associated with high income levels, personal banking also plays an important role. The objective of this study is to develop a model that can identify the factors that determine customer satisfaction and their relative importance. Furthermore, the aim is to incorporate gender and age as moderator variables to identify demographic differences in satisfaction. The analysis was conducted via a questionnaire survey in October to November 2023 employing a purposive sampling approach in a university environment, as the respondents are likely to possess the highest level of existing financial knowledge within this population. The 214 valid responses were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, with the objective of contributing to the development of theory in this field of study. The results demonstrate that perception (β = 0.519) and reliability (β = 0.253) collectively explained 51.8% of the variance in satisfaction. Moreover, the results indicate that perception accounts for 49.2% of the variance in reliability, suggesting the existence of an indirect effect on satisfaction. Therefore, the findings suggest that, despite the advent of digital banking, face to face service remains a pertinent concern in Hungary, and financial institutions should prioritize the factors that shape customer satisfaction. The study contributes to the literature and to the development of customer loyalty strategies for banks based on these findings.

Ahmed, R. R., Streimikiene, D., Channar, Z. A., et al. (2021). E-banking Customer Satisfaction and Loyalty: Evidence from Serial Mediation through Modified E-S-QUAL Model and Second-Order PLS-SEM. Engineering Economics, 32(5), 407-421. https://www.doi.org/10.5755/j01.ee.32.5.28997

Akinwande, M. O., Dikko, H. G., & Gulumbe, S. U. (2015). Identifying the Limitation of Stepwise Selection for Variable Selection in Regression Analysis. Am. J. Theor. Appl. Stat. 4(5), 414–419. https://doi.org/10.11648/j.ajtas.20150405.22

Akram, K., & Hilman, H. (2018). Effect of Knowledge Management Activities and Dynamic Capabilities on Employee Performance in the Banking Sector: Empirical Evidence from Pakistan. Studies in Business and Economics, 13(2), 41-60. https://www.doi.org/10.2478/sbe-2018-0019

Alhassany, H., & Faisal, F. (2018). Factors influencing the internet banking adoption decision in North Cyprus: evidence from the partial least square approach of the structural equation modeling. Financial Innovation, 4, 29. https://doi.org/10.1186/s40854-018-0111-3

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 3, 411–423.

Andrade, M. S., Westover, J. H., & Peterson, J. (2019). Journal of Business Diversity Vol. 19(3) 2019Job Satisfaction and Gender. Journal of Business Diversity, 19(3), 22-40.

Ates, S. (2022). A Validity and Reliability Study on Developing a Scale for Assessing Classroom Teachers’ Attitudes Towards Illustrated Children’s Books. Educ. Policy. Anal. Strat. Res. 17(3), 222–237. https://doi.org/10.29329/epasr.2022.461.11

Balkan, B. (2021). Impacts of Digitalization on Banks and Banking. In Kahyaoglu, S. B. (editors). The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume I, Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application. SpringerLink, https://doi.org/10.1007/978-981-33-6811-8_333499746_1_En_3_Chapter

Bátor, A. (2008). The Connection between Customer Satisfaction and Loyalty in the Field of Commercial Banks. Part 1. In: Kadocsa, Gy. (editors). 6th International Conference on Management, Enterprise and Benchmarking MEB 2008-Proceedings, Óbuda University, Keleti Faculty of Business and Management, pp. 427-438.

Becsei, A., Csányi, P., Bógyi, et al., (2023). Digital Citizenship, Digital Banking – Digitalization Proposals by the Hungarian Banking Association. Economy and Finance, 10(4), 369-403. https://www.doi.org/10.33908/EF.2023.4.4

Belás, J., & Gabčová, L. (2016). The Relationship Among Customer Satisfaction, Royality and Financial Performance of Commercial Banks. Finance, 19(1), 132-147. https://www.doi.org/10.15240/tul/001/2016-1-010

Bena, I. (2010). Evaluating Customer Satisfaction in Banking Services. Management & Marketing 5(2), 143-150.

Béres, D., & Huzdik, K. (2022). A fiatal felnőttek és a hitelek (kockázatkerülési csapda). Pénzügyi Szemle, 67(1). https://doi.org/10.35551/PFQ_2022_1_2

Bharti, S.S., Prasad, K., Sudha, S. et al. (2023). Customer acceptability towards AI-enabled digital banking: a PLS-SEM approach. Journal of Financial Services Marketing, 28, 779–793. https://doi.org/10.1057/s41264-023-00241-9

Bhat, S., & Darzi, M. A. (2014). Exploring the role of gender on customer satisfaction: A customer relationship perspective from banking sector. The Business Review, 18(1-2), 44-51.

Bhatia, K., & Kaur, M. (2021). “HR Strategies in Banking Sector”: A Comparative Study. Journal of Emerging Technologies and Innovative Research, 8(7), 505-516.

Bhattacharya, S., & Bera, S. (2023). A PLS-SEM Approach to Investigate the Effect of Satisfaction on Willingness to Recommend M-wallet Services. Global Business Review, 0(0). https://doi.org/10.1177/09721509231202315

Boot, A., Thakor, A. V. (2024). Banks and Financial Markets in a Digital Age. In Berger, A., Mullineaux, P., Wilson, J. (editors). Oxford Handbook of Banking (fourth edition). SSRN, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593246

Bushashe, M. A. (2023). Determinants of private banks performance in Ethiopia: A partial least square structural equation model analysis (PLS-SEM). Cogent Business & Management, 10(1), 2174246. https://doi.org/10.1080/23311975.2023.2174246

Chen, X., Yu, H., & Yu, F. (2015). What is the optimal number of response alternatives for rating scales? From an information processing perspective. Journal of Marketing Analytics, 3(2), 69–78, DOI: 10.1057/jma.2015.4.

Cornwell, B., Gershuny, J., & Sullivan, O. (2019). The Social Structure of Time: Emerging Trends and New Directions. Annual Review of Sociology, 45, 301-320. https://doi.org/10.1146/annurev-soc-073018-022416

Damberg, S. (2023). Advanced PLS-SEM models for bank customer relationship management using survey data. Data in Brief, 48, 109187. https://doi.org/10.1016/j.dib.2023.109187

Darem, A. (2014). Validation and Verification of the Dimensionality of E-Government Quality Measurement Scale. International Journal of Emerging Trends & Technology in Computer Science, 11(3), 109-117. https://www.doi.org/10.14445/22312803/IJCTT-V11P124

De Vellis, R. F. (2003). Scale Development: Theory and Applications (2nd ed., Vol. 26). Sage Publications. Thousand Oaks.

Edith-Onajite-Hamilton-Ibama, L. (2020). Reliability and Business Performance in the Banking Industry in Nigeria. Journal of Business Administration and Management Sciences Research, 8(1), 26-33.

El-Meouch, N. M., Banai, Á., & Alpek, B. L. (2023). Can online banking replace personal banking? A survey of Hungarian banking habits. Acta Oeconomica, 74(6), 1-28. https://www.doi.org/ 10.1556/032.2023.00027

Emari H., Iranzadeh S., & Bakhshayesh S. (2011). Determining the dimensions of service quality in banking industry: Examining the Gronroos’s model in Iran. Trends Applied Sciences Research, 6, 57–64, https://www.doi.org/10.3923/tasr.2011.57.64

Eren, B. A. (2021). Determinants of customer satisfaction in chatbot use: evidence from a banking application in Turkey. International Journal of Bank Marketing, 39(2), 294-311. https://www.doi.org/10.1108/IJBM-02-2020-0056

Felix, K. (2015). Customer satisfaction in the Kenyan banking industry. Journal of International Studies, 8(2), 174-186. https://www.doi.org/10.14254/2071-8330.2015/8-2/15

Fernandez-Gutierrez, M., & Ashton, J. (2024). “One size doesn’t fit all”. Bank switching decisions and customer vulnerability in Europe. International Journal of Bank Marketing, 42(6), 1264-1281. https://www.doi.org/10.1108/IJBM-03-2023-0141

Filho, B. A. C., Bezerra, M. V. R., & Bontempo, O. (2023). Evaluation of customer experience in the high-income segment of banking services. Revista Brasileira de Marketing, 22(3), 1191-1249. https://www.doi.org/10.5585/remark.v22i3.22381

Flaherty, K., Korir, M., & Chelangat, D. (2017). Do Customers All Respond the Same? Generational Differences on Customer Orientation and Satisfaction. Archives of Business Research, 5(8), 92-107. https://www.doi.org/10.14738/abr.58.3547

Fornell, C. G., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 9(4), 440-452.

Gelencsér, M., Kőmüves, Z. S., Hollósy-Vadász, G., et al. (2024). Modelling employee retention in small and medium-sized enterprises and large enterprises in a dynamically changing business environment. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-09-2023-3961

George, D., & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference. 17.0 update, 10th edition, Pearson, Boston.

Gonu, E., Agyei, P. M., Richard, O. K., et al. (2023). Customer orientation, service quality and customer satisfaction interplay in the banking sector: An emerging market perspective. Cogent Business & Management, 10 (1), 2163797. https://doi.org/10.1080/23311975.2022.2163797

Gupta, V. P., & Agarwal, P. K. (2013). Comparative study of customer satisfaction in public and private banks in India: A case study of Meerut region of U.P. Global Journal of Business Management, 7(1), 16-26. https://www.doi.org/10.13140/RG.2.2.24683.05927

Habing, B. (2003). Exploratory Factor Analysis. University of South Carolina, Columbia.

Hair, J. F., Hult, G. T. M., Ringle, C., et al. (2014a). A Primer on Partial Least Squares Structural Equation Modeling (PLS–SEM). Sage, New York.

Hair, J. F., Sarstedt, M., Hopkins, L., et al. (2014b), Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128

Hair, J., & Alamer, A., (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(1), 100027. https://www.doi.org/10.1016/j.rmal.2022.100027

Hair, Jr. J. F., Hult, G. T. M., Ringle, C. M., et al. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer Link, New York. https://link.springer.com/book/10.1007/978-3-030-80519-7

Hair, Jr., J.F., Matthews, L.M., Matthews, R.L., et al. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.087624

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

Ho, S., & Wong, A. (2022). The role of customer personality in premium banking services. Journal of Financial Services Marketing, 28(7), 1-21. https://www.doi.org/10.1057/s41264-022-00150-3

Hu, H., Cheng, K., Zhang, S., et al. (2023). Customer Satisfaction Assessment in Banks. Advances in Economics, Management and Political Sciences, 21, 346-355. https://doi.org/10.54254/2754-1169/21/20230271

Ibhar (2004). Employee satisfaction leads to better customer management: White Paper. Ibhar Technologies Private Limited, India.

Jahan, N., & Shahria, G. (2022). PLS-SEM Based Analysis of Customer Satisfaction of Mobile Banking in Bangladesh: A Study on Users’ Perspective. BGC Trust University Journal, 6, 319-348.

Kálmán, B., Bárczi, J., & Zéman, Z. (2021). The Impact of the First Wave of Covid-19 on the Financial Security of Economics Students in Higher Education. Pénzügyi Szemle/Public Finance Quarterly (1963-), 2021(3), 1–22. http://doi.org/10.35551/PFQ_2021_3_3

Karpagam, S., & Rajakrishnan, V. S. (2022). Effect of Reliability Variables on Customer Perception Over the Services of Bank. Quing International Journal of Commerce and Management, 2(2), 33-46. http://www.doi.org/10.54368/qijcm.2.2.0001

Kazár K. (2014). A PLS-útelemzés és alkalmazása egy márkaközösség pszichológiai érzetének vizsgálatára. Statisztikai Szemle, 92(1), 33–52.

Kazinczy, E. (2020). Growth Potential for Private Banking in Hungary. Economy and Finance, 7(1), 78-100. https://www.doi.org/10.33908/EF.2020.1.4

Kline, R. B. (2005). Principles and practice of structural equation modeling. Guilford Press, New York.

Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling. 4th Edition. Guilford Press, New York.

Kovács, G., & Vinkóczi, T. (2020). A digitalizáció banki szolgáltatásokkal összefüggő elemzési lehetőségei az Európai Unióban, 2017–2018. Területi Statisztika, 62(1), 35–58. https://www.doi.org/10.15196/TS620102

Kuchciak I, & Warwas I. (2021). Designing a Roadmap for Human Resource Management in the Banking 4.0. Journal of Risk and Financial Management, 14(12), 615. https://doi.org/10.3390/jrfm14120615

Kwok, S. Y., Jusoh, A., & Zainab, K. (2016). The influence of Service Quality on Satisfaction: Does gender really matter? Intangible Capital, 12(2), 444-461. https://doi.org/10.3926/ic.673

Kyriazos, T., & Poga, M. (2023). Dealing with Multicollinearity in Factor Analysis: The Problem, Detections, and Solutions. Open Journal of Statistics, 13, 404-424. https://doi.org/10.4236/ojs.2023.133020.

Lohmöller, J-B. (1989). Latent Variable Path Modeling with Partial Least Squares, Physica, Heidelberg, Germany.

Lupyan, G. (2017). How reliable is perception? Philosophical Topics, 45(1), 81-106. https://www.jstor.org/stable/26529426

Marko, L., Dusica, S., Luka, L., et al. (2015). Customer relationship management: Concept and importance for banking sector. UTMS Journal of Economics, 6(2), 241–254.

Mcdonald, S. M. (2011). Perception: A Concept Analysis. International Journal of Nursing Knowledge, 23(1), 2-9. https://www.doi.org/ 10.1111/j.2047-3095.2011.01198.x

Miah, M., Szabó-Szentgróti, G., & Walter, V. (2024). A systematic literature review on green human resource management (GHRM): an organizational sustainability perspective. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2371983

Mohr, J., & Nevin, J.R. (1990). Communication strategies in marketing channel: A theoretical perspective. Journal of Marketing, 54(4), 36-51. https://doi.org/10.2307/1251758

Mondego, D., & Gide, E. (2020). Exploring the Factors that Have Impact on Consumers’ Trust in Mobile Payment Systems in Australia. Journal of Information Systems and Technology Management, 17, e202017009. https://www.doi.org/10.4301/S1807-1775202017009

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of web of science and scopus: a comparative analysis. Scientometrics, 106, 213–228. https://www.doi.org/ 10.1007/s11192-015-1765-5

Mulat, G. W. (2017). The Effects of Service Quality on Customer Satisfaction: A Study among Private Banks in Mekelle Town. European Journal of Business and Management, 9(13), 72-79.

Nachtigall, C., Kroehne, U., Funka, F., et al. (2003). (Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling. Methods of Psychological Research Online, 8(2), 1-22. https://doi.org/10.23668/psycharchives.12783

Nagar, N., & Ghai, E. (2019). A Study of Bank Customer’s Reliability towards Electronic Banking (E-Banking) Channel’s! International Journal of Management Studies, 6(1), 34. https://www.doi.org/10.18843/ijms/v6i1(1)/04

Nagy, Á., & Fazekas, A. (2018). The transformation of young people’s online and offline leisure time, spaces and media use in Hungary. In Magkou, M., Schwalbach, R., Spruyt, B. (ed.), Perspectives on Youth: Young people in a digitalised world. Council of Europe, Strasbourg, 9-28.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd eds.). McGraw-Hill Inc., New York.

Nunnally, J. C., (1978). Psychometric testing. 2nd edition. McGraw-Hill Inc., New York.

Ozili, P. K. (2023). The acceptable R-square in empirical modelling for social science research. Munich Personal RePEc Archive. Munich. https://mpra.ub.uni-muenchen.de/11649

Panibratov, A., Kalinin, A., Zhang, Y., et al. (2022). The belt and road initiative: a systematic literature review and future research agenda. Eurasian Geography and Economics, 63(1), 82–115. https://doi.org/10.1080/15387216.2020.1857288

Pena-García, N., Losada-Otálora, M., Juliao-Rossi, J., et al. (2021). Co-Creation of Value and Customer Experience: An Application in Online Banking. Sustainability, 13, 10486. https://doi.org/10.3390/su131810486

Pisnik, A., & Snoj, B., (2010). Development, Validity and Reliability of Perceived Service Quality in Retail Banking and its Relationship with Perceived Value and Customer Satisfaction. Managing Global Transitions, 8(2), 187-205.

Radomir, L., & Moisescu, O. I. (2019). Discriminant validity of the customer-based corporate reputation scale: Some causes for concern. Journal of Product & Brand Management, 29(4), 457–469.

Ramachandran, A., & Chidambaram, V. (2012). A review of customer satisfaction towards service quality of banking sector. Periodica Polytechnica Social and Management Sciences, 20(2), 71–79. https://doi.org/10.3311/pp.so.2012-2.02

Ranatunga, R.V.S.P.K., Priyanath, H. M. S., & Megama. R.G.N. (2020). Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review. Journal of Social Science Research, 15, 102–109. https://doi.org/10.24297/jssr.v15i.8670

Reddy, L. S., & Kulshrestha, P. (2019). Performing the KMO and Bartlett’s Test for Factors Estimating the Warehouse Efficiency, Inventory and Customer Contentment for E-retail Supply Chain. Int. J. Res. Eng. Appl. Manag., 5(9), 1–13. https://www.doi.org/10.35291/2454-9150.2019.0531

Ritter, N. L. (2012). A comparison of distribution free and nondistribution free factor analysis methods. In N. D. (Ed.), Annual Meeting of the Southwest Educational Research Association. Southwest Educational Research Association, New Orleans, LA, USA, 1–15.

Rozman, M., Tominc, P., & Milfelner, B. (2020). A Comparative Study Using Two SEM Techniques on Different Samples Sizes for Determining Factors of Older Employee’s Motivation and Satisfaction. Sustainability, 12(6), 2189. http://www.doi.org/0.3390/su12062189

Saris, W. E., & Stronkhorst, H. (1984). Causal modelling in nonexperimental research. Sociometric Research Foundation, Amsterdam.

Sarstedt, M., Ringle C. M., & Hair J. F. (2021). Partial Least Squares Structural Equation Modeling. In Homburg, C., Klarmann M,, Vomberg, A. E. (Ed.), Handbook of Market Research. Springer Cham, Berlin. 1-47. https://www.doi.org/10.1007/978-3-319-05542-8_15-2

Sedunov, J. (2020). Small Banks and Consumer Satisfaction (May 2019). Journal of Corporate Finance, 60, 1-46. http://www.doi.org/10.2139/ssrn.3274803

Sekaran, U. (2006). Research Methods for Business: A Skill Building Approach, 4Th. Wiley India Pvt. Limited, India.

Serwadda, I. (2018). Determinants of Commercial Banks’ Profitability. Evidence from Hungary. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 66(5), 1325-1335. https:/6www.doi.org/10.11118/actaun201866051325

Simundic, A.-M. (2008). Confindence interval. Biochemia Medica, 18(2), 154–61. https://www.doi.org/10.11613/BM.2008.015

Suleiman, S., & Abdulkadir, Y. (2022). Bank ATM user’s perceptions towards ATM service quality: A structural equation modelling approach. International Journal of Research and Innovation in Social Science, 6(5), 140-145.

Szabó-Szentgróti, E., Konczos-Szombathelyi, M., Rámháp, S., et al. (2023b). How Consumers Accept Unmanned Smart Stores?–Introducing a Proposed Technology Acceptance Model. Chemical Engineering Transactions, 107, 373-378. https://doi.org/10.3303/CET23107063

Szabó-Szentgróti, E., Rámháp, S., & Kézai, P. K. (2023a). Systematic Review of Cashierless Stores (Just Walk Out Stores) Revolutionizing The Retail. Management & Marketing, 18(s1), 427-448. https://doi.org/10.2478/mmcks-2023-0023

Szabó-Szentgróti, E., Rámháp, S., & Kézai, P. K. (2024). Az UTAUT2-modell alkalmazása a kassza nélküli technológiák felhasználói elfogadásának vizsgálatában magyar egyetemista hallgatók körében. Statisztikai Szemle, 102(4), 344-366. https://doi.org/10.20311/stat2024.04.hu0344

Szemán, J., Bozsik, S., & Süveges, G. (2022). A bankszektor digitalizálása Magyarországon. Acta Academiae Beregsasiensis. Economics, 2(2), 163-171. https://doi.org/10.58423/2786-6742/2022-2-163-171

Szili, D, Guzsvinecz, T, & Szűcs, J. (2022). How Banks Were Chosen and Rated in Hungary before and during the COVID-19 Pandemic. Sustainability, 14(11), 6720. https://doi.org/10.3390/su14116720

Ton, A.D., Szabó-Szentgróti, G., & Hammerl, L. (2022). Competition within Cross-Functional Teams: A Structural Equation Model on Knowledge Hiding. Social Sciences (BASEL), 11(1), 30, https://www.doi.org/10.3390/socsci11010030

Tulcanaza-Prieto, A. B., Aguilar-Rodríguez, I. E., & Lee, C. W. (2022). Customer Perception and Its Influence on the Financial Performance in the Ecuadorian Banking Environment. Sustainability, 14, 6960. https://doi.org/10.3390/su14126960

Uddin, M. B., & Akhter, B. (2012). Determinants of customer satisfaction of banking industry in Bangladesh. Pakistan Journal of Commerce and Social Science, 6 (2), 242-256.

Vijayabanu, C., Renganathan, R., & Govindarajan, K. (2015). The Upshot of the Learning Organisation: Case Study of an Indian Private-Sector Bank Using the PLS-SEM Model. Journal of Organisational Transformation & Social Change, 12(2), 178–192. https://doi.org/10.1179/1477963315Z.00000000041

Vinkóczi, T., Herimné, R. É., & Koltai, J. P. (2024). Exploratory analysis of zero waste theory to examine consumer perceptions of sustainability: A covariance-based structural equation modeling (CB-SEM). Cleaner Waste Systems, 8, 100146, https://doi.org/10.1016/j.clwas.2024.100146

Wirtz, J., & Lovelock, C. (2016). Services marketing: People, technology, strategy (8th Edition). World Scientific Publishing Co. Inc., Singapore.

Zaato, S. G., Ismail, M., Uthamaputhran, S., et al. (2023). SmartPLS-SEM Analyses Approach in Validity and Reliability of Entrepreneurial Orientation, Social Capital and Government Support Policies on SMEs Performance Instrument. Journal of Harbin Engineering University, 44(5), 579-587.

Zéman, Z., Kálmán, B. G., Bárczi, J., et al. (2023). The Evolution of University Students’ Financial Attitudes and Their Role in the Sustainability of Personal Finances. Sustainability, 15(8). http://doi.org/10.3390/su15086385

Zhang, D., Huang, G., Yin, X., et al. (2015). Residents’ waste separation behaviors at the source: Using SEM with the theory of planned behavior in Guangzhou, China. International Journal of Environmental Research and Public Health. 12(8), 9475–9491.