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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 謝冠雄 | zh_TW |
| dc.contributor.advisor | Edward Hsieh | en |
| dc.contributor.author | 張瑋凌 | zh_TW |
| dc.contributor.author | Chong Wei Ling | en |
| dc.date.accessioned | 2024-07-23T16:16:00Z | - |
| dc.date.available | 2024-07-24 | - |
| dc.date.copyright | 2024-07-23 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-07-15 | - |
| dc.identifier.citation | Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine learning with applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006
Alam, S. S., Hassan, F., & Musa, R. (2009). Corporate customers’ adoption of Internet banking: case of Klang Valley business firm in Malaysia. International Journal of Business and Management, 4(4). https://doi.org/10.5539/ijbm.v4n4p13 Alliance Bank Berhad. (2024). BOB - BizSmart® User Guides 24/7 Assistance for Businesses No More Call Waiting and Branch Visit. https://www.alliancebank.com.my/bizSmart_user_guides Alt, M.-A., Vizeli, I., & Săplăcan, Z. (2021). Banking with a chatbot – A study on technology acceptance. Studia Universitatis Babes-Bolyai Oeconomica, 66(1), 13–35. https://doi.org/10.2478/subboec-2021-0002 Anic, V., & Wallmeier, M. (2020). Perceived attractiveness of structured financial products: The role of presentation format and reference instruments. Journal of Behavioral Finance, 21(1), 78–102. https://doi.org/10.1080/15427560.2019.1629441 Antoun, C., Couper, M. P., & Conrad, F. G. (2017). Effects of mobile versus PC web on survey response quality: A crossover experiment in a probability web panel. Public Opinion Quarterly, 81(S1), 280–306. https://doi.org/10.1093/poq/nfw088 Atadoga, A., Obi, O. C., Onwusinkwue, S., Dawodu, S. O., Osasona, F., & Daraojimba, A. I. (2024). AI's evolving impact in US banking: An insightful review. International Journal of Science and Research Archive, 11(1), 904-922. https://doi.org/10.30574/ijsra.2024.11.1.0157 Athari, S. A., Irani, F., & Hadood, A. A. (2023). Country risk factors and banking sector stability: Do countries’ income and risk-level matter? Evidence from global study. Heliyon, 9(10), e20398. https://doi.org/10.1016/j.heliyon.2023.e20398 Bala, K., Kumar, M., Hulawale, S., & Pandita, S. (2018). Chat-Bot for college management system using A.I. International Research Journal of Engineering and Technology, 4(11), 2395–0056. Balcilar, M., Gupta, R., Lee, C.-C., & Olasehinde-Williams, G. (2018). The synergistic effect of insurance and banking sector activities on economic growth in Africa. Economic Systems, 42(4), 637–648. https://doi.org/10.1016/j.ecosys.2018.08.002 Bank Negara Malaysia. (2000). Bank Negara Malaysia Annual Report 1999. https://www.bnm.gov.my/web/guest/-/laporan-tahunan-bank-negara-malaysia-1999 Bank Negara Malaysia. (2001). Bank Negara Malaysia Annual Report 2000. https://www.bnm.gov.my/-/bank-negara-malaysia-annual-report-2000 Bank Negara Malaysia. (2009). Bank Negara Malaysia Annual Report 2008. https://www.bnm.gov.my/-/bank-negara-malaysia-annual-report-2008 Bank Negara Malaysia. (2010). Bank Negara Malaysia Annual Report 2009. https://www.bnm.gov.my/-/bank-negara-malaysia-annual-report-2009 Bank Negara Malaysia. (2020). Risk management in technology (RMiT). https://www.bnm.gov.my/-/risk-management-in-technology-rmit-policy-document Bank Negara Malaysia. (2022, April 29). Five successful applicants for the digital bank licences. https://www.bnm.gov.my/-/digital-bank-5-licences Bank Negara Malaysia. (2022). Financial Stability Review 2nd Half 2022, pp. 27–31. https://www.bnm.gov.my/publications/fsr2022h2 Bank Negara Malaysia. (n.d.). Financing for Small & Medium Enterprises. https://www.bnm.gov.my/sme-financing Bank of America. (2023, September 18). Enhancements to BofA’s CashPro® Chat Create Greater Efficiencies for Business Clients. https://newsroom.bankofamerica.com/content/newsroom/pressreleases/2023/09/enhancements-to-bofa-s-cashpro--chat-create-greater-efficiencies.html Bank of America. (2024, April 8). BofA’s Erica Surpasses 2 billion interactions, helping 42 million clients since launch. https://newsroom.bankofamerica.com/content/newsroom/press-releases/2024/04/bofa-serica-surpasses-2-billion-interactions--helping-42-millio.html Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: Understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411–1430. https://doi.org/10.1108/IMDS-08-2018-0368 BNP Paribas. (2022, April 7). BNP Paribas Repo BOT. https://globalmarkets.cib.bnpparibas/digital/repo-bot/ Cheam, W.-Y., Lau, L.-S., & Wei, C.-Y. (2021). Factors influencing the residence’s intention to adopt solar photovoltaic technology: A case study from Klang Valley, Malaysia. Clean Energy, 5(3), 464–473. https://doi.org/10.1093/ce/zkab021 Cheng, W.-H., Kadir, K. A., & Bohari, A. M. (2014). The strategic planning of SMEs in Malaysia: A view of external environmental scanning. International Journal of Business and Society, 15(3), 437–446. https://www.researchgate.net/publication/290763088_The_strategic_planning_of_smes_in_malaysia_A_view_of_external_environmental_scanning Cheng, X., & Degryse, H. (2010). The impact of bank and non-bank financial institutions on local economic growth in China. Journal of Financial Services Research, 37(2–3), 179–199. https://doi.org/10.1007/s10693-009-0077-4 Chong, H. L., Islam, Md. A., Abdul Manaf, A. H., & Wan Mustafa, W. M. (2015). Users satisfaction towards online banking in Malaysia. International Business Management, 9(1). https://doi.org/10.3923/ibm.2015.15.27 Chung, T., & Mohd, A. (2018). Whither competition in Malaysia’s banking industry ex post a restructuring. Journal of Economic Studies, 45(2), 263–282. https://doi.org/10.1108/JES-01-2017-0009 CIMB Bank Berhad. (2021). CIMB Unveils EVA, the First-in-Market Chatbot for Commercial Banking in Malaysia. https://www.cimb.com/en/newsroom/2021/cimb-unveils-eva-thefirst-in-market-chatbot-for-commercial-banking-in-malaysia.html CIMB Group Holdings Berhad. (2022). Integrated Annual Report 2022. https://www.cimb.com/en/investor-relations/annual-reports-listing.html Connor Desai, S., & Reimers, S. (2019). Comparing the use of open and closed questions for Web-based measures of the continued-influence effect. Behavior Research Methods, 51(3), 1426–1440. https://doi.org/10.3758/s13428-018-1066-z Consumer Financial Protection Bureau. (6/23). Chatbots in Consumer Finance. https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumerfinance/chatbots-in-consumer-finance/ Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982 DBS Bank. (n.d.). Chat with “Joy” ready to assist you 24/7 with corporate banking needs. https://www.dbs.com/in/sme/business-banking/joychatbot.page De Andrade, I. M., & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestão, 29(3), 238-251. https://doi.org/10.1108/REGE-07-2021-0120. Deutsche Bank AG. (2019). Artificial Intelligence in banking - A lever for profitability with limited implementations to date. https://www.dbresearch.com/PROD/RPS_ENPROD/Artificial_intelligence_in_banking%3A_A_lever_for_pr/RPS_EN_DOC_VIEW.calias?rwnode=PROD0000000000435631&ProdCollection=PROD0000000000495172 Dewasiri, N. J., Karunarathna, K. S. S. N., Rathnasiri, M. S. H., Dharmarathne, D. G., & Sood, K. (2024). Unleashing the challenges of chatbots and ChatGPT in the banking industry: Evidence from an emerging economy. In N. Kumar, K. Sood, E. Özen, & S. Grima (Eds.), The Framework for Resilient Industry: A Holistic Approach for Developing Economies (pp. 23–37). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83753-734-120241002 Elekdag, S., Lall, S., & Alp, H. (2012). An assessment of Malaysian monetary policy during the global financial crisis of 2008-09. IMF Working Papers, 12(35). https://doi.org/10.5089/9781463933203.001 Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11. Fadzlah, A. F. A. (2013). Stableness measurement model: A Mathematical approach for measuring the stability of handheld application usage. International Journal of Software Engineering & Applications, 4(5), 49. https://doi.org/10.5121/ijsea.2013.4504 Fasano, F., & La Rocca, T. (2023). Does the Bank-Firm human relationship still matter for SMEs? The game-changing role of digitalisation. Small Business Economics, 62, 159–178. https://doi.org/10.1007/s11187-023-00758-2 Finextra Research. (2022, December 5). Wells Fargo Launches Persona and AI-Driven Digital Banking Platform, Vantage. https://www.finextra.com/newsarticle/41430/wells-fargolaunches-persona-and-ai-driven-digital-banking-platformvantage?utm_medium=rssfinextra&utm_source=finextrafeed Fitch Ratings. (2022). Malaysia’s New Digital Banks Unlikely to Shake up Sector. https://www.fitchratings.com/research/banks/malaysia-new-digital-banks-unlikely-toshake-up-sector-03-05-2022 Holland, J. B. (1992). Relationship banking: Choice and control by the multinational firm. The International Journal of Bank Marketing, 10(2), 29. https://doi.org/10.1108/02652329210012140. Hong Kong Academy of Finance. (2020). Artificial Intelligence in Banking the Changing Landscape in Compliance and Supervision. https://www.aof.org.hk/research/HKIMR/publications-and-research/applied-researchreports Hwang, S., & Kim, J. (2021). Toward a chatbot for financial sustainability. Sustainability, 13(6), 3173. https://doi.org/10.3390/su13063173 Hyman, M., & Sierra, J. (2016). Open- versus close-ended survey questions. NM State University Business Outlook, 14(2). https://www.researchgate.net/publication/282249876_Open_versus_close-ended_survey_questions IBM. (2024, January 17). Chatbot Examples: A Beginner’s Guide. https://www.ibm.com/blog/chatbot-examples-a-beginners-guide/ Idrissi, A. B. E., & Bennis, K. (2018). Impact of the bank/company relationship on information asymmetry. Business and Economics Journal, 9(2). https://doi.org/10.4172/2151-6219.1000354 International Monetary Fund. Asia and Pacific Dept. (2020). Malaysia: Selected Issues. International Monetary Fund, 2020(058). https://doi.org/10.5089/9781513531960.002 Ismail, F., Shabri Abd. Majid, M., & Rahim, R. A. (2013). Efficiency of Islamic and conventional banks in Malaysia. Journal of Financial Reporting and Accounting, 11(1), 92-107. https://doi.org/10.1108/JFRA-03-2013-0011 Jakšič, M., & Marinč, M. (2018). Relationship banking and information technology: The role of artificial intelligence and FinTech. Macmillan Publishers Ltd., Part of Springer Nature 2018, 21, pages 1-18. https://doi.org/10.1057/s41283-018-0039-y Johnston, H. R., & Vitale, M. R. (1988). Creating competitive advantage with interorganizational information systems. MIS Quarterly, 12(2), 153. https://doi.org/10.2307/248839 Kambur, E., & Yildirim, T. (2022). From traditional to smart human resources management. International Journal of Manpower, 44(3), 422–452. https://doi.org/10.1108/IJM-10-2021-0622 Keil, M., Beranek, P. M., & Konsynski, B. R. (1995). Usefulness and ease of use: Field study evidence regarding task considerations. Decision Support Systems, 13(1), 75–91. https://doi.org/10.1016/0167-9236(94)E0032-M Königstorfer, F., & Thalmann, S. (2020). Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 27, 100352. https://doi.org/10.1016/j.jbef.2020.100352 Kumar, S. S., Muthukumaran, V., Devi, A., Geetha, V., & Yadav, P. N. (2023). A quantitative approach of purposive sampling techniques for security and privacy issues in IoT healthcare applications: In J. Zhao, V. V. Kumar, R. Natarajan, & T. R. Mahesh (Eds.), Advances in Computational Intelligence and Robotics (pp. 281–299). IGI Global. https://doi.org/10.4018/978-1-6684-6971-2.ch016 Lai, S.-T., Leu, F.-Y., & Lin, J.-W. (2019). A banking chatbot security control procedure for protecting user data security and privacy. In L. Barolli, F.-Y. Leu, T. Enokido, & H.-C. Chen (Eds.), Advances on Broadband and Wireless Computing, Communication and Applications (Vol. 25, pp. 561–571). Springer International Publishing. https://doi.org/10.1007/978-3-030-02613-4_50 Lazo, M., & Ebardo, R. (2023). Artificial intelligence adoption in the banking industry: Current state and future prospect. Journal of Innovation Management, 11(3), 54–74. https://doi.org/10.24840/2183-0606_011.003_0003 Leruth, L. E., Khatri, Y., & Piesse, J. (2002). Corporate performance and governance in Malaysia. IMF Working Papers, 02(152). https://doi.org/10.5089/9781451857108.001 Marcinkowska, M. (2013). Regulation and self-regulation in banking: In search of optimum. Bank i Kredyt, National Bank of Poland, 44(2), 119–158. https://ideas.repec.org/a/nbp/nbpbik/v44y2013i2p119-158.html McKinsey & Company. (2015) 8; Leveraging the Digital Potential in Corporate Banking. https://www.mckinsey.com/industries/financial-services/our-insights/leveraging-thedigital-potential-in-corporate-banking Meadows, K. A. (2003). So you want to do research? 4: An introduction to quantitative methods. British Journal of Community Nursing 8, no. 11 (November 2003): 519–26. https://doi.org/10.12968/bjcn.2003.8.11.11823. Ministry of Economy, Department of Statistics Malaysia. (n.d.). Malaysia’s Economic Performance, 2022. https://www.dosm.gov.my/portal-main/release-content/grossdomestic-product-gdp-by-state- Moriarty, R. T., Kimball, R. C., & Gay, J. H. (1983). The management of corporate banking relationships. Sloan Management Review (pre-1986), 24(3), 3. https://www.proquest.com/docview/206801833/fulltextPDF/1E549203EEE4BBEPQ/1?accountid=12690&sourcetype=Scholarly%20Journals Mulyono, J. A., & Sfenrianto, S. (2022). Evaluation of customer satisfaction on Indonesian banking chatbot services during the COVID-19 pandemic. CommIT (Communication and Information Technology) Journal, 16(1), 69–85. https://doi.org/10.21512/commit.v16i1.7813 Nambiar, S. (2006). Malaysia’s response to the financial crisis: Reconsidering the viability of unorthodox policy. Asia-Pacific Development Journal, 10(1), 1–23. https://doi.org/10.18356/4c71473d-en Nicolescu, L., & Tudorache, M. T. (2022). Human-Computer interaction in customer service: The experience with AI chatbots—A systematic literature review. Electronics, 11(10), 1579. https://doi.org/10.3390/electronics11101579 Ng, M., Coopamootoo, K. P. L., Toreini, E., Aitken, M., Elliot, K., & Van Moorsel, A. (2020). Simulating the effects of social presence on trust, privacy concerns & usage intentions in automated bots for finance. 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 190–199. https://doi.org/10.1109/EuroSPW51379.2020.00034 Nguyen, D. M., Chiu, Y.-T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in Vietnam: A necessity for sustainable development. Sustainability, 13(14). https://doi.org/10.3390/su13147625 Oly Ndubisi, N., & Jantan, M. (2003). Evaluating IS usage in Malaysian small and medium‐sized firms using the technology acceptance model. Logistics information management, 16(6), 440-450. https://doi.org/10.1108/09576050310503411 Ong, H.-B., Jaffar, N., Yap, V.-C., & Norhashim, M. (2023). Empirical analysis of internet and mobile banking in Malaysia. Asian Economic and Financial Review, 13(2), 138–147. https://doi.org/10.55493/5002.v13i2.4717 Porter, M. E., & Millar, V. A. (1985). How information gives you competitive advantage (1st ed.). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9780080509761-6/information-gives-competitive-advantage-michael-porter-victor-millar Quah, J. T. S., & Chua, Y. W. (2019). Chatbot assisted marketing in financial service industry. In J. E. Ferreira, A. Musaev, & L.-J. Zhang (Eds.), Services Computing – SCC 2019 (Vol. 11515, pp. 107–114). Springer International Publishing. https://doi.org/10.1007/978-3-030-23554-3_8 Qureshi, O. A., Wilkins, S., & Iqbal, H. (2024). Chatbots: Can they satisfy customers in the banking sector? In K. Al Marri, F. A. Mir, S. A. David, & M. Al-Emran (Eds.), BUiD Doctoral Research Conference 2023 (Vol. 473, pp. 360–376). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56121-4_34 Rai, N., & Thapa, B. (2015). A study on purposive sampling method in research. Kathmandu: Kathmandu School of Law, 5(1), 8–15. https://www.academia.edu/28087388/A_STUDY_ON_PURPOSIVE_SAMPLING_METHOD_IN_RESEARCH Randhawa, D. S. (2011). Banking and capital market reforms in Malaysia. ASEAN Economic Bulletin, 28(3), 388. https://doi.org/10.1355/ae28-3g Rating Agency Malaysia. (2020). Digital Banks Will Spur Financial Innovation, but Pose Limited Threat to Traditional Banks. https://www.ram.com.my/pressrelease/?prviewid=5350 Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145–1168. https://doi.org/10.1108/IJBM-01-2017-0015 Rogers, E. M. (1995). Diffusion of Innovation (Fourth Edition). The Free Press New York. Rotchanakitumnuai, S., & Speece, M. (2003). Barriers to Internet banking adoption: A qualitative study among corporate customers in Thailand. International Journal of Bank Marketing, 21(6/7), 312–323. https://doi.org/10.1108/02652320310498465 Slintak, K., & Dvorský, J. (2019). The purpose of firms and its influence on formulating their missions and visions. Montenegrin Journal of Economics, 15(2), 15–29. https://doi.org/DOI:10.14254/1800-5845/2019.15-2.2 Suhaimi, W. N. E., Zaato, S. G., Salman, A., & Bidin, A. (2022). WhatsApp usage in the workplace among SME employees in metropolis. Journal of Positive School Psychology, 6(4). https://journalppw.com/index.php/jpsp/article/view/5290 Tambe, H., & Mehta, S. S. (2014). A case study of a multinational bank’s use of relationship marketing in corporate banking. Proceedings of the 1995 Academy of Marketing Science (AMS) Annual Conference, 240,241. https://doi.org/10.1007/978-3-319-13147-4_60 Tammewar, A., Pamecha, M., Jain, C., Nagvenkar, A., & Modi, K. (2017). Production ready chatbots: Generate if not retrieve. AAAI Workshop. https://www.researchgate.net/publication/321325955_Production_Ready_Chatbots_Generate_if_not_Retrieve The Banker. (2023, June 1). The Banker’s Top 30 Asean Bank 2023. https://www.thebanker.com/The-Banker-s-Top-30-Asean-Banks-2023-1685603779 The Boston Consulting Group. (2015). Digital in Corporate Banking Reaches the Tipping Point - Is Everyone One Ready?. https://www.bcg.com/publications/2015/financial-institutionstechnology-digital-corporate-banking-reaches-tipping-point The Official Monetary and Financial Institutions Forum. (2020). Digital currencies: A question of trust. https://www.omfif.org/questionoftrust/ The World Bank. (n.d.). GDP growth (annual %) - Malaysia. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=MY Turnbull, P. W., & Demades, M. (1995). Marketing bank services to corporate clients. Journal of Marketing Management, 11(1–3), 187–205. https://doi.org/10.1080/0267257X.1995.9964337 Turnbull, P. W., & Gibbs, M. J. (1989). The selection of banks and banking services among corporate customers in South Africa. International Journal of Bank Marketing, 7(5), 36–39. https://doi.org/10.1108/02652328910134662 Turnbull, P. W., & Gibbs, M. L. (1987). Marketing bank services to corporate customers: The importance of relationships. International Journal of Bank Marketing, 5(1), 19–26. https://doi.org/10.1108/eb010796 Tyler, K., & Stanley, E. (1999). UK bank-corporate relationships: Large corporates’ expectations of service. The International Journal of Bank Marketing; Bradford, 17(4), 158–170. https://doi.org/10.1108/02652329910278851 Unisys Corporation. (2018). 2018 Unisys Security Index - Malaysia Report, p. 2. 'https://www.unisys.com/news-release/my-data-security-tops-malaysia-public-concernsaccording-to-index/ The U.S. Securities and Exchange Commission. (2023). SEC adopts rules on cybersecurity risk management, strategy, governance, and incident disclosure by public companies. https://www.sec.gov/news/press-release/2023-139 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93201 | - |
| dc.description.abstract | This study investigates the factors influencing the adoption of banking chatbots by Malaysian firms, their preferred chatbot characteristics, and the banking chatbot functionalities they are willing to adopt. A quantitative approach was employed, using a structured questionnaire to collect data from Malaysian firms that primarily interact with banks through relationship managers. A total of 32 completed questionnaires were received and data were analyzed using descriptive analysis (i.e.; frequency and mean). The findings suggest that concerns about security and data protection outweigh the potential benefits of adopting banking chatbots, emphasizing the critical role of security and risk mitigation in the adoption of financial technologies. To alleviate these concerns, Malaysian firms believe regulators should ensure banks adhere to strong cyber risk governance and management practices, and expect banks to regularly deploy advanced security mechanisms for their chatbots. The study also reveals that Malaysian firms prioritize reliable, timely, clear, and understandable information from chatbots, while personalized recommendations are less valued. They prefer chatbot functionalities that provide information and support routine tasks over those involving sensitive financial transactions. The results contribute to the limited knowledge on chatbot adoption in the organizational context and provide valuable insights for banks seeking to implement chatbot solutions for their business clients. The findings offer guidance for banks to customize their chatbot offerings to meet Malaysian firms' specific needs and concerns. | zh_TW |
| dc.description.abstract | This study investigates the factors influencing the adoption of banking chatbots by Malaysian firms, their preferred chatbot characteristics, and the banking chatbot functionalities they are willing to adopt. A quantitative approach was employed, using a structured questionnaire to collect data from Malaysian firms that primarily interact with banks through relationship managers. A total of 32 completed questionnaires were received and data were analyzed using descriptive analysis (i.e.; frequency and mean). The findings suggest that concerns about security and data protection outweigh the potential benefits of adopting banking chatbots, emphasizing the critical role of security and risk mitigation in the adoption of financial technologies. To alleviate these concerns, Malaysian firms believe regulators should ensure banks adhere to strong cyber risk governance and management practices, and expect banks to regularly deploy advanced security mechanisms for their chatbots. The study also reveals that Malaysian firms prioritize reliable, timely, clear, and understandable information from chatbots, while personalized recommendations are less valued. They prefer chatbot functionalities that provide information and support routine tasks over those involving sensitive financial transactions. The results contribute to the limited knowledge on chatbot adoption in the organizational context and provide valuable insights for banks seeking to implement chatbot solutions for their business clients. The findings offer guidance for banks to customize their chatbot offerings to meet Malaysian firms' specific needs and concerns. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-07-23T16:16:00Z No. of bitstreams: 0 | en |
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| dc.description.tableofcontents | Acknowledgement .......................................................................................................................... ii
Abstract .......................................................................................................................................... iii Table of Contents........................................................................................................................... iv List of Tables ................................................................................................................................ vii List of Figures .............................................................................................................................. viii List of Abbreviations ..................................................................................................................... ix 1. Background................................................................................................................................. 1 1.1 Introduction .......................................................................................................................... 1 1.2 Research Problem................................................................................................................. 5 1.3 Research Aims and Objective .............................................................................................. 5 1.4 Research Methodology......................................................................................................... 6 1.5 Importance and Significance of the Study............................................................................ 6 1.6 Structure of the Thesis.......................................................................................................... 6 2. Literature Review........................................................................................................................ 8 2.1 Malaysian Banking System.................................................................................................. 8 2.2 Banking Chatbot................................................................................................................. 11 2.3 State of Digitalization of Malaysian Commercial Banks................................................... 17 2.4 Relationship Marketing ...................................................................................................... 21 2.5 Studies on Adoption of Internet Banking by Firms in Southeast Asia............................... 23 2.6 Conceptual Model .............................................................................................................. 25 2.7 Characteristics of Banking Chatbots and Security and Data Protection Features Prioritized by Malaysian Firms.................................................................................................................. 27 3. Method ...................................................................................................................................... 35 3.1 Research Design and Research Instrument ........................................................................ 35 3.2 Sampling Unit and Location............................................................................................... 36 3.3 Respondents of the Survey................................................................................................. 36 3.4 Data Collection Method ..................................................................................................... 37 4. Design of the Questionnaire Survey ......................................................................................... 39 4.1 Questionnaire Development ............................................................................................... 39 4.2 Method of Data Analysis.................................................................................................... 45 5. Results....................................................................................................................................... 46 5.1 Survey Response and Data Screening................................................................................ 46 5.2 Profile of the Surveyed Firms............................................................................................. 46 5.3 Factors Affecting Firm’s Intention to Adopt Banking Chatbot.......................................... 53 5.4 Features and Measures to Alleviate Concern on Security and Data Protection ................. 54 5.5 Characteristics of Banking Chatbot Related to Usefulness................................................ 56 5.6 Characteristics of Banking Chatbot Related to Ease of Use .............................................. 58 5.7 Summary of Characteristics of Banking Chatbots and Security and Data Protection Features Prioritized by Malaysian Firms.................................................................................. 59 5.8 Banking Chatbot Functionality That Malaysian Firms are Likely to Adopt...................... 60 6. Discussion ................................................................................................................................. 62 6.1 Findings 1: Concern on Security and Data Protection as Most Important Factor, Ease of use as Least Important Factor................................................................................................... 62 6.2 Findings 2: Characteristics of Banking Chatbots and Security and Data Protection Features Prioritized by Malaysian Firms ................................................................................................ 64 6.3 Findings 3: Banking Chatbot Functionality That Malaysian Firms Are Likely to Adopt.. 69 7. Conclusion ................................................................................................................................ 72 7.1 Research Contribution........................................................................................................ 72 7.2 Theoretical Implications..................................................................................................... 73 7.3 Practical Implications......................................................................................................... 73 7.4 Limitations.......................................................................................................................... 74 7.5 Future Research Suggestions.............................................................................................. 75 References..................................................................................................................................... 77 Appendix 1: Questionnaire Survey............................................................................................... 91 | - |
| dc.language.iso | en | - |
| dc.subject | banking | zh_TW |
| dc.subject | organization | zh_TW |
| dc.subject | banking chatbot | zh_TW |
| dc.subject | corporate banking | zh_TW |
| dc.subject | banking | en |
| dc.subject | banking chatbot | en |
| dc.subject | organization | en |
| dc.subject | corporate banking | en |
| dc.title | 影響馬來西亞企業客戶在商業銀行採用人工智慧驅動的多通路銀行服務意願的因素 | zh_TW |
| dc.title | Factors Affecting the Intention of Corporate Customers in Malaysia to Adopt AI-Driven Multichannel Banking Services in Commercial Banks | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 曹承礎 | zh_TW |
| dc.contributor.coadvisor | Seng-Cho Chou | en |
| dc.contributor.oralexamcommittee | 陳建錦;杜志挺 | zh_TW |
| dc.contributor.oralexamcommittee | Chien Chin Chen;Timon Du | en |
| dc.subject.keyword | banking chatbot,organization,corporate banking,banking, | zh_TW |
| dc.subject.keyword | banking chatbot,organization,corporate banking,banking, | en |
| dc.relation.page | 94 | - |
| dc.identifier.doi | 10.6342/NTU202401768 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-07-16 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 企業管理碩士專班 | - |
| 顯示於系所單位: | 管理學院企業管理專班(Global MBA) | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-112-2.pdf | 1.16 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
