簡易檢索 / 詳目顯示

研究生: 文富倫
Wilson Jasper Ian Mamburam Tafalla
論文名稱: 評估文化適應對技術採用的影響:以在台灣的菲律賓臨時移民採用 LINE Pay 為例
Exploring the Effects of Acculturation on Technology Adoption: Evidence from LINE Pay Adoption of Filipino Temporary Migrants in Taiwan
指導教授: 李傳楷
LEE, CHUAN-KAI
口試委員: 胡美智
吳清炎
李柏毅
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 國際專業管理碩士班
International Master of Business Administration(IMBA)
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 35
中文關鍵詞: 行動支付文化適應行為意圖努力期望感知安全性菲律賓移民
外文關鍵詞: Mobile Payment, Acculturation, Behavioral Intention, Effort Expectancy, Perceived Security, Filipino Migrants
相關次數: 點閱:64下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 當數位交易迅速取代傳統現金交易時,行動錢包技術已經變得無所不在,徹底改變了全球金融交易的格局。本研究探討了在台灣的菲律賓臨時移民對電子支付(e-pay)系統的採用情況,重點關注文化適應如何影響他們使用LINE Pay。研究指出,關於文化因素,特別是文化適應,對移民社區技術採用的影響,在文獻中存在顯著的缺口。利用技術接受模型(TAM)及其相關構造,如努力期望和感知安全性,通過定量方法來探討這些動態。研究結果表明,文化適應顯著影響了使用LINE Pay的行為意圖,並受到努力期望和感知安全性的中介作用。研究結果強調了文化融合、用戶友好設計和強大的安全措施在促進移民採用電子支付方面的重要性,為政策制定者和數字金融服務提供商提供了見解。本研究有助於更廣泛地理解文化與技術在移民背景下的相互作用,解決了當前知識中的關鍵缺口,並為改善多元文化人群的數位支付生態系統提供了實際意義。


    In an era where digital transactions are swiftly replacing traditional cash exchanges, mobile wallet technology has become ubiquitous, revolutionizing the global financial transaction landscape. This study examines the adoption of electronic payment (e-pay) systems among Filipino temporary migrants in Taiwan, focusing on how acculturation influences their use of LINE Pay. The research identifies a significant gap in the literature concerning the impact of cultural factors, specifically acculturation, on technology adoption within migrant communities. Using the Technology Acceptance Model (TAM) and related constructs such as effort expectancy and perceived security, the study explores these dynamics through a quantitative methodology. Findings indicate that acculturation significantly affects the behavioral intention to use LINE Pay, mediated by effort expectancy and perceived security. The study's results highlight the importance of cultural integration, user-friendly design, and robust security measures in promoting e-pay adoption among migrants, offering insights for both policymakers and digital financial service providers. This research contributes to the broader understanding of the interplay between culture and technology in the context of migration, addressing critical gaps in current knowledge and providing practical implications for enhancing the digital payment ecosystem for culturally diverse populations.

    摘要 i Abstract ii Acknowledgement iii 1. Introduction 2 2. Research Gap 3 3. Review of Related Literature and Hypothesis Development 4 3.1. Technology Acceptance Model (TAM) 4 3.2. Behavioral intention 5 3.3. Acculturation 6 3.4. Attractiveness of alternatives 8 3.5. Effort expectancy 10 3.6. Perceived security 11 4. Methodology 12 3.1. Research design 12 3.2. Measurements and data collection 13 5. Data analysis 15 5.1 Main-effect Only Model Analysis 17 5.2 Moderation Model Analysis 18 5.3 Mediation Model Analysis 20 6. Summary and Discussion 23 7. Managerial Implications 26 8. Limitation and Future Research 28 References 30 Appendix 35

    Abawajy, J. (2012). User preference of cyber security awareness delivery methods. Behaviour & Information Technology, 33(3), 237–248. https://doi.org/10.1080/0144929x.2012.708787
    Abidin, W. Z., Rivera, O., Maarop, N., & Hassan, N. H. (2017). Mobile Payment Framework for the unbanked Filipinos. 2017 International Conference on Research and Innovation in Information Systems (ICRIIS). https://doi.org/10.1109/icriis.2017.8002478
    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
    Amoroso, D. L., & Magnier-Watanabe, R. (2012). Building a research model for mobile wallet consumer adoption: The case of Mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 13–14. https://doi.org/10.4067/s0718-18762012000100008
    Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
    Cleveland, M., & Laroche, M. (2007). Acculturaton to the Global Consumer Culture: Scale Development and Research Paradigm. Journal of Business Research, 60(3), 249–259. https://doi.org/10.1016/j.jbusres.2006.11.006
    Collins, L. M. (2007). Research design and methods. Encyclopedia of Gerontology, 433–442. https://doi.org/10.1016/b0-12-370870-2/00162-1
    Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
    de Best, R. (n.d.). Topic: Mobile payments with digital wallets. Statista. https://www.statista.com/topics/4872/mobile-payments-worldwide/#topicOverview
    dos Santos, P. M., & Cirillo, M. Â. (2021). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics - Simulation and Computation, 52(4), 1639–1650. https://doi.org/10.1080/03610918.2021.1888122
    Dwivedi, Y. K., Khoumbati, K., Williams, & Lal, B. (2007). Factors affecting consumers’ behavioural intention to adopt broadband in Pakistan. Transforming Government: People, Process and Policy, 1(3), 285–297. https://doi.org/10.1108/17506160710778112
    FANG, X., CHAN, S., BRZEZINSKI, J., & XU, S. (2005). Moderating effects of task type on wireless technology acceptance. Journal of Management Information Systems, 22(3), 123–157. https://doi.org/10.2753/mis0742-1222220305
    Faqih, K. M. S. (2016). An empirical analysis of factors predicting the behavioral intention to adopt internet shopping technology among non-shoppers in a developing country context: Does gender matter? Journal of Retailing and Consumer Services, 30, 140–164. https://doi.org/10.1016/j.jretconser.2016.01.016
    Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571. https://doi.org/10.1016/j.jbusres.2008.06.016
    Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035
    Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259–274. https://doi.org/10.1016/s0022-4359(00)00024-5
    Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460–474. https://doi.org/10.1016/j.chb.2017.01.001
    Kim, C., Tao, W., Shin, N., & Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84–95. https://doi.org/10.1016/j.elerap.2009.04.014
    KIM, Y. Y. (1977). Communication patterns of foreign immigrants in the process of acculturation1. Human Communication Research, 4(1), 66–77. https://doi.org/10.1111/j.1468-2958.1977.tb00598.x
    Kizgin, H., Jamal, A., & Richard, M.-O. (2018). Consumption of products from heritage and host cultures: The role of acculturation attitudes and behaviors. Journal of Business Research, 82, 320–329. https://doi.org/10.1016/j.jbusres.2017.09.011
    Lam, T., Cho, V., & Qu, H. (2007). A study of Hotel employee behavioral intentions towards adoption of Information Technology. International Journal of Hospitality Management, 26(1), 49–65. https://doi.org/10.1016/j.ijhm.2005.09.002
    Lee, S. K., & Flores, M. L. (2019). Immigrant workers’ organizational temporality: Association with Cultural Time Orientation, acculturation, and mobile technology use. Management Communication Quarterly, 33(2), 189–218. https://doi.org/10.1177/0893318918821727
    Lee, S.-G., Trimi, S., & Kim, C. (2013). The impact of cultural differences on technology adoption. Journal of World Business, 48(1), 20–29. https://doi.org/10.1016/j.jwb.2012.06.003
    Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464–478. https://doi.org/10.1016/j.chb.2014.03.022
    Meadows, M., Vijaygopal, R., & Dibb, S. (2013). Does Acculturation Affect Brand Preference? a Study of British Indians. E - European Advances in Consumer Research , Volume 10, 51–63. https://doi.org/http://www.acrwebsite.org/volumes/1013745/volumes/v10e/E-10
    National Immigration Agency, R.O.C. (Taiwan). (2024, April 25). 2024.3foreign residents by nationality. National Immigration Agency, R.O.C. (Taiwan) - 2024.3Foreign Residents by Nationality. https://www.immigration.gov.tw/5475/5478/141478/141380/367759/cp_news
    Nikbin, D., Aramo, T., Iranmanesh, M., & Ghobakhloo, M. (2022). Impact of brands’ facebook page characteristics and followers’ comments on Trust Building and purchase intention: Alternative attractiveness as moderator. Journal of Consumer Behaviour, 21(3), 494–508. https://doi.org/10.1002/cb.2018
    Ochoa, N. C. M., Alfaro, L. D., Villamil, J. R., & Espeleta, R. R. A. (2022). Preferences of Filipino and Foreign College Students Towards Online Translation Tools. Universal Journal of Educational Research, 1((4):215-223).
    Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
    Ou, X. (2024, February 27). Taiwan: Most used mobile payment apps. Statista. https://www.statista.com/statistics/1134038/taiwan-most-used-mobile-payment-apps/#:~:text=According%20to%20a%20Taiwanese%20internet,methods%20as%20of%20August%202020.
    Pham, T.-T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/j.techsoc.2015.05.004
    Ping, R. A. (1993). The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect. Journal of Retailing, 69(3), 320–352. https://doi.org/10.1016/0022-4359(93)90010-g
    Segev, S., Ruvio, A., Shoham, A., & Velan, D. (2014). Acculturation and consumer loyalty among immigrants: A cross-national study. European Journal of Marketing, 48(9/10), 1579–1599. https://doi.org/10.1108/ejm-06-2012-0343
    Shaw, N., Eschenbrenner, B., & Brand, B. M. (2022). Towards a mobile app diffusion of innovations model: A multinational study of Mobile Wallet Adoption. Journal of Retailing and Consumer Services, 64, 102768. https://doi.org/10.1016/j.jretconser.2021.102768
    Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of Mobile Wallet. Computers in Human Behavior, 25(6), 1343–1354. https://doi.org/10.1016/j.chb.2009.06.001
    Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending utaut with Innovativeness, risk, and Trust. Psychology & Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823
    Sung, Y., & Kim, J. (2010). Effects of brand personality on brand trust and brand affect. Psychology & Marketing, 27(7), 639–661. https://doi.org/10.1002/mar.20349
    Swaidan, Z., Vitell, S. J., Rose, G. M., & Gilbert, F. W. (2006). ‘consumer ethics: The role of acculturation in U.S. immigrant populations.’ Journal of Business Ethics, 64(1), 1–16. https://doi.org/10.1007/s10551-005-4663-6
    Tort, M. (2024, April 10). Cash is king but not for long. BusinessWorld Online. https://www.bworldonline.com/opinion/2024/04/11/587199/cash-is-king-but-not-for-long/#:~:text=In%20the%20Philippines%2C%20there,technology%20adoption%20among%20Filipino%20consumers.
    Venkatesh, Morris, Davis, & Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
    What do the stars next to the P-values mean?. FAQs. (n.d.). https://faq.edqm.eu/pages/viewpage.action?pageId=1377305#:~:text=Answer%3A,stars%20(***).
    Yahoo! (n.d.). Digital payment market projected to reach US$ 24.31 trillion by 2030 – new research insights on trends and Global Forecast. Yahoo! Finance. https://finance.yahoo.com/news/digital-payment-market-projected-reach-160800498.html
    Yu, L. S. (2023, September 18). Filipinos lose P155 million to scams in 2023 as authorities try to catch up. RAPPLER. https://www.rappler.com/business/scams-cost-philippines-senate-hearing-bank-fraud/
    Yu, S.-Y., & Chen, D. C. (2022). Consumers’ switching from cash to mobile payment under the fear of covid-19 in Taiwan. Sustainability, 14(14), 8489. https://doi.org/10.3390/su14148489
    Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257

    QR CODE