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Purpose: The purpose of this article is to discuss the aptitude and readiness of companies to carry out effective integration of Customer Relationship Management (CRM) systems with Artificial Intelligence. Design/methodology/approach: The article attempts to answer the following research questions: RQ1: Are companies ready to use AI in their CRM systems? RQ2: What are the most common AI tools used in CRM systems? RQ3: What are the most common opportunities and threats of using AI in CRM systems? In view of the above, an analysis of national and international literature sources and an analysis of recent research from the IT industry on trends in the use of AI, particularly in customer service, as well as an original pilot study using an online questionnaire were adopted as the research method. The pilot research was conducted among 104 companies via the Internet. Findings: The evaluation of the data collected showed that companies are aware of the calls made on them by the evolution of modern technologies using artificial intelligence and how important it is, in view of the above, to integrate the CRM system with AI and, where possible, to use its facilities to improve customer service and business in general. Research limitations/implications: The conducted study was of a pilot nature, in the future it is planned to conduct a wider research in order to verify a greater number of variables affecting the integration of AI with CRM. Artificial Intelligence is a constantly evolving topic, limiting the verification of only a few variables affecting the integration of AI with CRM may quickly become obsolete. Practical implications: The integration of AI capabilities with CRM is recognised as one of the key factors for improving the speed and efficiency of customer service. The pilot survey indicated what the general sentiment and readiness of companies to use the potential of AI is, how the application of AI can help organisations gain the adaptive organisational capabilities needed to increase overall business efficiency and CRM effectiveness, paying attention to the key goals and opportunities, paying attention to the key goals and opportunities that have been described in detail, as well as the risks associated with the integration of artificial intelligence with CRM. Social implications: In view of the widespread fear of replacing some work positions with Artificial Intelligence, the conducted research indicates that some of them may be a bit exaggerated and some justified, especially when it comes to repetitive analytical tasks in the CRM system. Originality/value: The article deals with the current topic of using Artificial Intelligence solutions in business.
Rocznik
Tom
Strony
289--310
Opis fizyczny
Bibliogr. 89 poz.
Twórcy
- Częstochowa University of Technology, Faculty of Management
Bibliografia
- 1. Bag, S., Pretorius, J.H.C., Gupta, S., Dwivedi, Y.K. (2021). Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities. Technological Forecasting and Social Change, 163, 120420, https://doi.org/10.1016/j.techfore. 2020.120420
- 2. Balakrishnan, J., Dwivedi, Y.K. (2021). Role of cognitive absorption in building user trust and experience. Psychology and Marketing, 38(4), 643-668. https://doi.org/10.1002/ mar.21462
- 3. Baruffaldi, S., van Beuzekom, B., Dernis, H., Harhoff, D., Rao, N., Rosenfeld, D., Squicciarini, M. (2020). Identifying and measuring developments in artificial intelligence: Making the impossible possible. OECD Science. Technology and Industry Working Papers, 5, 1-68. DOI:10.1787/5f65ff7e-en.
- 4. Battina, D.S. (2018). The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Computers in Human Behavior, 123(4). DOI:10.1016/j.chb.2021.106878.
- 5. Bolton, T., Dargahi, T., Belguith, S., Al-Rakhami, M.S., Sodhro, A.H. (2021). On the Security and Privacy Challenges of Virtual Assistants. Sensors, 21(7), 2312. https://doi.org/10.3390/s21072312.
- 6. Business Ethics and Artificial Intelligence (2018). Business Ethics Briefing, 58, January. London: The Institute of Business Ethics. Retrieved from: https://www.ibe.org.uk/ resource/ibe-briefing-58-business-ethics-and-artificial-intelligence-pdf.html.
- 7. Cavalcante, R., Brasileiro, R.C., Souza, V.L.F., Nobrega, J.P., Oliveira, A.L.I. (2016). Computational intelligence and financial markets: A survey and future directions. Expert Systems with Applications, 55, 194-211. https://doi.org/10.1016/j.eswa.2016.02.006.
- 8. Chatterjee, S., Ghosh, S.K., Chaudhuri, R., Nguyen, B. (2019). Are CRM systems ready for AI integration? A conceptual framework of organizational readiness for effective AI-CRM integration. The Bottom Line, 32(2), 144-157. https://doi.org/10.1108/BL-02- 2019-0069.
- 9. Chopra, K. (2019). Indian shopper motivation to use artificial intelligence: Generating Vroom’s expectancy theory of motivation using grounded theory approach. International Journal of Retail & Distribution Management, 47(3), 331-347. https://doi.org/10.1108/ IJRDM-11-2018-0251.
- 10. Co dalej z CRM? Pięć wyzwań w zarządzaniu relacjami z klientami (2019). MIT Sloan Managment Review Polska. Retrieved from: https://mitsmr.pl/b/co-dalej-z-crm-piec- wyzwan-w-zarzadzaniu-relacjami-z-klientami/PfAZoc70M.
- 11. Cowls, J., Tsamados, A., Taddeo, M., Floridi, L. (2021). A definition, benchmark and database of AI for social good initiatives. Nat. Mach. Intell., 3, 111-115. https://doi.org/10.1038/s42256-021-00296-0.
- 12. Deryugina, O.V. (2010). Chatterbots. Scientific and Technical Information Processing 37(2), 143-147, https://doi.org/10.3103/S0147688210020097.
- 13. Dignum, V. (2018), Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, Vol. 20, No. 1, 1-3, doi: 10.1007/s10676-018-9450-z.
- 14. Dwivedi, Y.K., Wang, Y. (2022). Guest editorial: Artificial intelligence for B2B marketing: Challenges and opportunities. Industrial Marketing Management, 105, 109¬113; https://doi.Org/10.1016/j.indmarman.2022.06.001.
- 15. Dwivedi, YK., Hughes, L., Ismagilova, E. et al. (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, 101994, https://doi.org/10.1016/j.ijinfomgt.2019.08.002.
- 16. Enholm, I.M., Papagiannidis, E., Mikalef, P., Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734. https://doi.org/10.1007/s 10796-021-10186-w.
- 17. European Commission. Artificial Intelligence for Europe (COM(2018) 237 final) (2018). Retrieved from: https://digital-strategy.ec.europa.eu/en/library/communication-artificial- intelligence-europe.
- 18. European Commission. Building Trust in Human Centric Artificial Intelligence (COM(2019)168), (2019). Retrieved from: https://digital-strategy.ec.europa.eu/en/library/ communication-building-trust-human-centric-artificial-intelligence.
- 19. European Commission. Coordinated Plan on Artificial Intelligence (COM(2018) 795 final) (2018). Retrieved from: https://digital-strategy.ec.europa.eu/en/library/coordinated- plan-artificial-intelligence.
- 20. European Parliament. Report on a comprehensive European industrial policy on artificial intelligence and robotics (2018/2088(INI)). (2019). Retrieved from: https://www.europarl.europa.eu/doceo/document/A-8-2019-0019_EN.html.
- 21. European Parliament. Resolution on Autonomous Weapon Systems (2018/2752(RSP)). (2018). Retrieved from: https://www.europarl.europa.eu/doceo/document/TA-8-2018- 0341_EN.html.
- 22. European Parliament. Resolution on Civil Law Rules on Robotics (2015/2103(INL)). (2017). Retrieved from: https://www.europarl.europa.eu/RegData/etudes/ATAG/2017/ 599250/EPRS_ATA(2017)599250_EN.pdf.
- 23. Eurostat 2021. Retrieved from: https://ec.europa.eu/eurostat/statistics-explained/ index.php?title=Use_of_artificial_intelligence_in_enterprises#Enterprises_using_artificia l_intelligence_technologies.
- 24. Frey, C.B., Osborne, M.A. (2013). The Future of Employment: How susceptible are jobs to computerisation? University of Oxford, Retrieved from: https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_ Employment.pdf.
- 25. Gantz, J.F., Murray, G., Schubmehl, D., Vesset, D., Wardley, M. (2017). A Trillion-Dollar Boost: The Economic Impact ofAI on Customer Relationship Management Sponsored by: Salesforce, June, Retrieved from: https://www.salesforce.com/content/dam/web/en_us/ www/documents/white-papers/the-economic-impact-of-ai.pdf.
- 26. Goyal, A., Aneja, R. (2020). Artificial intelligence and income inequality: Do technological changes and worker's position matter? Journal of Public Affairs, 20(4), DOI:10.1002/pa.2326.
- 27. Graca, S.S., Barry, J.M., Doney, P.M. (2015). Performance outcomes of behavioral attributes in buyer-supplier relationships. Journal of Business and Industrial Marketing, Vol. 30, No. 7, 805-816, https://doi.org/10.1108/JBIM-04-2014-0072.
- 28. Grover, P., Kar, A.K., Dwivedi, Y.K. (2020). Understanding artificial intelligence adoption in operations management: Insights from the review of academic literature and social media discussions. Ann. Oper. Res., https://doi.org/10.1007/s10479-020-03683-9.
- 29. Ince, H., Aktan, B. (2009). A comparison of data mining techniques for credit scoring in banking: A managerial perspective. Journal of Business Economics and Management, 10(3), 233-240. https://doi.org/10.3846/1611-1699.2009.10.233-240.
- 30. Ismail, N. (2017). A Trillion-Dollar Boost: The Economic Impact of AI on Customer Relationship Management. IDC, Retrieved from: https://www.information-age.com/ trillion-dollar-industry-economic-impact-ai-crm-6258/.
- 31. Jak sztuczna inteligencja przyczynia się do poprawy obsługi klienta call center? Technologia Ender Turing (2022). Retrieved from: https://www.forbes.pl/jak-sztuczna- inteligencja-przyczynia-sie-do-poprawy-obslugi-klienta-call-center/xsyv61p.
- 32. Jarek, K., Mazurek, G., Hałas-Dej, S. (2018). Marketing i sztuczna inteligencja. Przedsiębiorczość i Zarządzanie, XIX, 5, 191-206.
- 33. Josiassen, A., Assaf, A.G., Cvelbar, L.K. (2014). CRM and the Bottom Line: Do All CRM Dimensions Affect Firm Performance? International Journal of Hospitality Management, 36, 130-136. https://doi.org/10.1016/j.ijhm.2013.08.005.
- 34. Kansbod, J. (2022). The Implementation of social CRM : Key features and significant challenges associated with thepractical implementation of social Customer Relationship Management. Retrieved from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-45240.
- 35. Karimova, F. (2016). A survey of e-commerce recommender systems. European Scientific Journal, 12(34), 75-89. https://doi.org/10.19044/esj.2016.v12n34p75.
- 36. Kietzmann, J., Paschen, J., Treen, E. (2018). Artificial Intelligence in Advertising: How Marketers Can Leverage Artificial Intelligence Along the Consumer Journey. Journal of Advertising Research, vol. 58, no. 3, p. 264.
- 37. Kitsios, F., Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 2025.
- 38. Kochański, T. (2016). Pozyskiwanie wiedzy z systemów klasy Customer Relationship Management. Przedsiębiorczość i Zarządzanie, 17(3.3), 21-29.
- 39. Kozłowska, A., Rodzik, A. (2018). Chatboty: perspektywy rozwoju technologii informatycznych w kontakcie z klientem. Acta Universitatis Nicolai Copernici Zarządzanie, 45(1).
- 40. Kurzweil, R. (2000). The Age of Spiritual Machines: When Computers Exceed Human Intelligence. New York: Penguin.
- 41. Latinovic, Z., Chatterjee, S.C. (2022). Achieving the promise of AI and ML in delivering economic and relational customer value in B2B. Journal of Business Research, 144, 966-974. https://doi.org/10.1016/j.jbusres.2022.01.052.
- 42. Ledro, C., Nosella, A., Vinelli, A. (2022). Artificial intelligence in customer relationship management: literature review and future research directions. Journal of Business & Industrial Marketing, Vol. 37, No. 13, 48-63. https://doi.org/10.1108/JBIM-07-2021-0332.
- 43. Lee, L.W., Dabirian, A., McCarthy, I.P., Kietzmann, J. (2020). Making sense of text: Artificial intelligence-enabled content analysis. European Journal of Marketing, 54(3), 615-644. https://doi.org/10.1108/EJM-02-2019-0219.
- 44. Li, B., Hou, B., Yu, W., Lu, X., Yang, C. (2017). Applications of artificial intelligence in intelligent manufacturing: A review. Frontiers of Information Technology & Electronic Engineering, 18(1), 86-96. https://doi.org/10.1631/FITEE.1601885.
- 45. Libai, B., Bart, Y., Gensler, S., Hofacker, C.F., Kaplan, A., Kotterheinrich, K., Kroll, E.B. (2020). Brave new world? On AI and the management of customer relationships. Journal of Interactive Marketing, 51, 44-56, https://doi.org/10.1016/j.intmar.2020.04.002.
- 46. Loureiro, S.M.C., Guerreiro, J., Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of business research, 129, 911-926.
- 47. Maknickiene, N., Maknickas, A. (2013). Financial market prediction system with Evolino neural network and Delphi method. Journal of Business Economics and Management, 14(2), 403-413. https://doi.org/10.3846/16111699.2012.729532.
- 48. Massi, M., Rod, M., Corsaro, D. (2021). Is co-created value the only legitimate value? An institutional-theory perspective on business interaction in B2B-marketing systems. Journal of Business & Industrial Marketing, Vol. 36, No. 2, 337-354. https://doi.org/10.1108/JBIM-01-2020-0029.
- 49. McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174-1182. https://doi.org/10.1016/j.artint.2007.10.009.
- 50. Microsoft i ChatGPT. Amerykański gigant szuka swojego miejsca w branży sztucznej inteligencji (2023). Retrieved from: https://forsal.pl/lifestyle/technologie/artykuly/ 8644794,microsoft-i-chatgpt-gigant-miejsce-branza-sztucznej-inteligencji.html.
- 51. Miliardy dolarów od Microsoftu. Gigant chce zainwestować we właściciela ChatGPT (2023). Retrieved from: https://www.money.pl/gospodarka/miliardy-dolarow-od- microsoftu-gigant-chce-zainwestowac-we-wlasciciela-chatgpt-6854002590583360a.html.
- 52. Monod, E., Lissillour, R., Koster, A., Jiayin, Q. (2022) Does AI control or support? Power shifts after AI system implementation in customer relationship management. Journal of Decision Systems, 1-24. DOI: 10.1080/12460125.2022.2066051.
- 53. Neves, A.M.M., Barros, F.A. (2003). XbotML: A Markup Language for Human Computer Interaction via Chatterbots. In: J.M.C. Lovelle, B.M.G. Rodriguez, J.E.L. Gayo, M. del Puerto Paule Ruiz, L.J. Aguilar (eds.), Web Engineering. ICWE 2003. Lecture Notes in Computer Science, vol 2722. Berlin-Heidelberg: Springer. https://doi.org/10.1007/3- 540-45068-8_31.
- 54. Ng, D.T.K., Leung, J.K.L., Chu, K.W.S., Qiao, M.S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509. doi: 10.1002/pra2.487.
- 55. Ngai, E., Moon, K., Liu, J.N., Tsang, K., Law, R., Suk, F., Wong, I. (2008). Extending CRM in the Retail Industry: An RFID-Based Personal Shopping Assistant System. Communications of the Association for Information Systems, 23. https://doi.org/10.17705/ 1CAIS.02316.
- 56. Nguyen, B., Simkin, L. (2017), Internet of things and marketing: the state of play, future trends and the implications for marketing. Journal of Marketing Management, Vol. 33, No. 1/2, 6. DOI:10.1080/0267257X.2016.1257542.
- 57. Nguyen, T.H. and Waring, T.S. (2013), The adoption of customer relationship management (CRM) technology in SMEs: An empirical study. Journal of Small Business and Enterprise Development, Vol. 20 No. 4, 824-848. https://doi.org/10.1108/JSBED-01-2012-0013.
- 58. Perifanis, N.-A., Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14, 85. https://doi.org/10.3390/info14020085.
- 59. Pięć sposobów, jak sztuczna inteligencja może zmienić systemy CRM w 2019 roku (2019). Retrieved from: https://initius.pl/news/piec-sposobow-jak-sztuczna-inteligencja-moze- zmienic-oprogramowanie-crm-w-2019-roku/.
- 60. Ramakrishna, S., Ngowi, A., De Jager, H., Awuzie, B.O. (2020). Emerging industrial revolution: Symbiosis of Industry 4.0 and circular economy: The role of universities. Science Technology and Society, 25(3), 505-525. https://doi.org/10.1177/0971721820912918.
- 61. Rizvi, M. (2017). Implications of internet of things (IoT) for CRM. Customer Think. Retrieved from: https://customerthink.com/implications-of-internet-of-things-iot-for-crm/.
- 62. Rogowska, D. (2010). The use of programs based on artificial intelligence method - chatterbots in creating relations with clients. Ekonomia i Zarządzanie, 2(4), 137-146.
- 63. Rzepecka, P. (2019). W jakim stopniu sztuczna inteligencja jest w stanie zastąpić człowieka? Studia Pedagogiczne. Problemy Społeczne, Edukacyjne i Artystyczne, 34(34), 161-171.
- 64. Saxena, S. (2017). Enhancing ICT Infrastructure in Public Services: Factors Influencing Mobile Government (M-Government) Adoption in India. The Bottom Line: Managing Library Finances, 30, 279-296. https://doi.org/10.1108/BL-08-2017-0017.
- 65. Schmidt, B., Borrison, R., Cohen, A., Dix, M., Gârtler, M., Hollender, M. et al. (2018, October). Industrial virtual assistants: Challenges and opportunities. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 794-801.
- 66. Schuett, J. (2019). A legal definition of AI. arXiv preprint arXiv:1909.01095.
- 67. Shafeeg, A., Shazhaev, I., Mihaylov, D., Tularov, A., Shazhaev, I. (2023). Voice Assistant Integrated with Chat GPT. Indonesian Journal of Computer Science, 12(1). DOI: https://doi.org/10.33022/ijcs.v12i1.3146.
- 68. Shang, D., Shang, D., Wu, W., Wu, W. (2017), Understanding mobile shopping consumers’ continuance intention. Industrial Management and Data Systems, Vol. 117, No. 1, 213-227. DOL10.1108/IMDS-02-2016-0052.
- 69. Shaw, J., Rudzicz, F., Jamieson, T., Goldfarb, A. (2019). Artificial intelligence and the implementation challenge. Journal of medical Internet research, 21(7). DOI: 10.2196/13659.
- 70. Sheta, F.A., Ahmed, S.E.M., Faris, H. (2015). A comparison between regression, artificial neural networks and support vector machines for predicting stock market index. International Journal of Advanced Research in Artificial Intelligence, 4(7). https://doi.org/10.14569/IJARAI.2015.040710.
- 71. Shravan Kumar, B., Ravi, V. (2016). A survey of the applications of text mining in financial domain. Knowledge-Based Systems, 114, 128-147. https://doi.org/10.1016/ j.knosys.2016.10.003.
- 72. Smith, A.D., Rupp, W.T. (2002). Application service providers (ASP): moving downstream to enhance competitive advantage. Information Management & Computer Security, 10(2), 64-72. DOI:10.1108/09685220210424113.
- 73. Stein, A.D., Smith, M.F., Lancioni, R.A. (2013). The development and diffusion of customer relationship management (CRM) intelligence in business-to-business environments. Industrial Marketing Management, 42(6), 855-861. https://doi.org/ 10.1016/j.indmarman.2013.06.004.
- 74. Sulikowski, K. (2022). Microsoft Viva Sales: nowa aplikacja towarzysząca dla systemów CRM. Retrieved from: https://www.centrumxp.pl/Publikacja/Microsoft-Viva-Sales-nowa- aplikacja-towarzyszaca-dla-systemow-CRM.
- 75. Sztuczna Inteligencja rozlewa się po świecie (2022). Retrieved from: https://www.erp- view.pl/rynek-it/30036-sztuczna-inteligencja-rozlewa-sie-po-swiecie.html.
- 76. Sztuczna inteligencja to bajka dla dorosłych (2022). Retrieved from: https://www.erp- view.pl/rynek-it/29983-sztuczna-inteligencja-to-bajka-dla-doroslych.html.
- 77. Sztuczna inteligencja: co to jest i jakie ma zastosowania? (2020). Retrieved from: https://www.europarl.europa.eu/news/pl/headlines/society/20200827STO85804/sztuczna- inteligencja-co-to-jest-i-jakie-ma-zastosowania.
- 78. The state of AI in 2021. Retrieved form: https://www.mckinsey.com/capabilities/ quantumblack/our-insights/global-survey-the-state-of-ai-in-2021.
- 79. Tulshan, A.S., Dhage, S.N. (2019). Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa. In: S. Thampi, O. Marques, S. Krishnan, KC. Li, D. Ciuonzo, M. Kolekar (eds.), Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol. 968 (pp. 190-201). Singapore: Springer, https://doi.org/10.1007/978-981-13-5758-9_17.
- 80. Verma, D., Verma, D.S. (2013). Managing customer relationships through mobile CRM in organized retail outlets. International Journal of Engineering Trends and Technology, Vol. 4, No. 5, 1696-1701.
- 81. Vla“ci'c, B., Corbo, L., Costa e Silva, S., Dabi'c, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 128, 187-203. https://doi.org/10.1016/j.jbusres.2021.01.055.
- 82. Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J.R., Tchatchouang Wanko, C.E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, Vol. 26, No. 7, 1893-1924. https://doi.org/10.1108/BPMJ-10-2019-0411.
- 83. Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), 1-37.
- 84. Warszycki, M. (2019). Wykorzystanie sztucznej inteligencji do predykcji emocji konsumentów. Studies and Papers of the Collegium of Management and Finance, 173, 111-121.
- 85. West, J., Bhattacharya, M. (2016). Intelligent financial fraud detection. Computers & Security, 57, 47-66. https://doi.org/10.1016/j.cose.2015.09.005.
- 86. Wirth, N. (2018). Hello marketing, what can artificial intelligence help you with? International Journal of Market Research, 60(5), 435-438. https://doi.org/10.1177/ 1470785318776841.
- 87. Xing, F.Z., Cambria, E., Welsch, R.E. (2018). Natural language based financial forecasting: A survey. Artificial Intelligence Review, 50(1), 49-73. https://doi.org/10.1007/ s10462-017-9588-9.
- 88. Yu, P., Xia, Z., Fei, J., Lu, Y. (2021). A survey on deepfake video detection. IET Biometrics, 10(6), 607-624. https://doi.org/10.1049/bme2.12031.
- 89. Zawacki-Richter, O., Marin, V.I., Bond, M., Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education - where are the educators? Int. J. Educ. Technol. Higher Edu., 16, 39. doi: 10.1186/s41239- 019-0171-0.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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