簡易檢索 / 詳目顯示

研究生: 廖家頤
Liao, Chia-Yi
論文名稱: 生物辨識驗證系統中品質對於使用意圖的影響-以金融業為例
To Explore the Influence of Quality on Intention of Using Biometric Certification System – The Case of Financial Industry
指導教授: 黃瀞瑩
Huang, Ching-Ying
共同指導教授: 莊双喜
Chuang, Shuang-Shii
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 74
中文關鍵詞: 生物辨識技術資訊系統成功模式認知有用性使用意圖
外文關鍵詞: biometric, information system success model, perceived usefulness, intention to use
相關次數: 點閱:126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
  • 目前台灣致力於發展數位金融科技,不過當前在臨櫃及自動提款機大多仍以傳統出示印鑑、身分證、存摺以及提款卡的方式進行個人的金融業務處理。本文期許未來能藉由生物辨識驗證技術的發展取代準備各種繁複的身分證明資料,同時讓金融業因為生物辨識技術的發展提供更多方位貼心的服務,提升數位金融的層次。
    本研究以資訊系統成功模式為核心,藉由探討生物辨識驗證系統中資訊品質、服務品質、系統品質是否會影響使用者操作意願,同時加入科技接受模型中的認之有用性作為干擾因素,觀察模型中各變數間的因果關係。
    研究結果顯示,使用者對於生物辨識驗證系統的服務品質與系統品質認同度之平均值與標準差教資訊品質好,整體而言受測者對於銀行業之生物辨識驗證系統均有相當程度的使用意願。加入干擾因素「認知有用性」探討後發現在資訊品質與服務品質的層面均不產生干擾,而對於系統品質產生了弱化的影響。
    整體模型指出個品質構面能夠有效衡量受測者在金融業使用生物辨識驗證系統的意願,可作為未來發展客戶本身之身分特徵證明之參考。

    At present, Taiwan's financial industry committed to the development of digital finance, but most of the current products of banks and ATM use traditional methods of identification. This study hopes to replace the identity information of all kinds of heavy and complicated by biometrics, and the financial industry can provide more good customer service.
    Based on the of Information System Success Model, this study explored whether the information quality, service quality and system quality in the biometrics would affect the user's willingness to operate. At the same time, cognitive usefulness was added as the interfering factor to observe the causal relationship among the variables.
    The results show that the average value and standard deviation of the service quality and system quality recognition of the biometrics are better than information quality, and the participants' intention to use the biometrics in the banking industry are really high. After addition the disturbing factors- perceived usefulness, it is found that the information quality and service quality did not interfere, but had a weakened effect on the system quality. The possible reason is that banks manage the public's money. If we replacing existing identification documents, such as id, seal and passbooks, with biological features would cause psychological anxiety for users.
    The overall model indicates that each quality can effectively measure the respondents' willingness to use the biometrics in the financial industry, and can be used as a reference for the biometrics in the future.

    摘要 II 誌謝 VI 目錄 VII 圖目錄 VIII 表目錄 IX 第一章 緒論 1 第二章 文獻回顧 9 第一節 生物辨識 9 第二節 資訊系統成功模式 11 第三節 資訊品質 14 第四節 服務品質 15 第五節 系統品質 18 第六節 認知有用性 20 第七節 使用意圖 21 第三章 研究方法 24 第一節 研究架構與假設 24 第二節 研究變數之操作型定義與衡量 27 第三節 抽樣調查與分析方法 32 第四章 研究分析結果 36 第一節 樣本資料分布狀況 36 第二節 敘述性統計分析 39 第三節 因素分析及信度分析 44 第四節 PEARSON相關分析 46 第五節 模型建構與資料分析 47 第五章 結論與建議 54 第一節 研究結論 54 第二節 研究貢獻 57 第三節 研究限制與建議 58 參考文獻 61 附錄一 本研究之研究問卷 68

    參考文獻
    中文文獻
    刘忆成. (2011). 电子身份认证中生物辨识技术法律问题比较研究. 信息网络安全, 11(3), 0-0.
    劉波, 喬興媚, 楊永其, & 周馳岷. (2016). 面向成人移动学习平台的用户行为授权研究. 中国成人教育(9), 9-12.
    吳語軒. (2015). 網路銀行之使用意圖分析─ 混合創新擴散及科技接受模型.
    呂宜瑾. (2018). 遊戲式學習融入大學英語口語溝通課程之行動研究.
    楊小冬. (2013). 自動指纹識別系统原理與實現. In: 北京: 科学出版社.
    楊貞翎. (2018). 中國金融業場景金融案例分析. 臺灣大學國際企業學研究所學位論文(2018 年), 1-58.
    洪西進, & 陸本正. (2009). 虹膜辨識系統. In.
    王千云, & 袁建中. (2010). 2030 年雲端生活下生物辨識系統的發展與應用.
    王郁琦. (2006). 生物辨識技術之運用對隱私權的影響. 科技法學評論, 3(2), 49-106.
    王靜音. (2007). 生物辨識技術專利資訊分析.
    褚德坤. (2006). 網络釣鱼現狀與對策—訪國家計算機病毒應急處理中心常務副主任張健. 信息网络安全, 6(5), 0-0.
    許麗玲, 陳至柔, & 陳澔輝. (2013). 雲端 ERP 系統服務品質與持續使用意圖之研究. 電子商務學報, 15(2), 195-233.
    鄭淑禎. (2014). 博物館 APP 導覽系統之系統品質覺知及體驗價值與使用意圖相關研究.
    黃甫邦. (2015). 專利分析探討生物辨識.

    英文文獻
    Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39): Springer.
    Ajzen, I. (1987). Attitudes, traits, and actions: Dispositional prediction of behavior in personality and social psychology. In Advances in experimental social psychology (Vol. 20, pp. 1-63): Elsevier.
    Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
    Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
    Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888.
    Akdere, M., Top, M., & Tekingündüz, S. (2020). Examining patient perceptions of service quality in Turkish hospitals: The SERVPERF model. Total quality management & business excellence, 31(3-4), 342-352.
    Ali, M., & Raza, S. A. (2017). Service quality perception and customer satisfaction in Islamic banks of Pakistan: the modified SERVQUAL model. Total Quality Management & Business Excellence, 28(5-6), 559-577.
    Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management science, 29(5), 530-545.
    Belk, R. W. (1974). An exploratory assessment of situational effects in buyer behavior. Journal of marketing research, 11(2), 156-163.
    Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 351-370.
    Bloemer, J., & De Ruyter, K. (1998). On the relationship between store image, store satisfaction and store loyalty. European Journal of marketing.
    Bradley, R. V., Pridmore, J. L., & Byrd, T. A. (2006). Information systems success in the context of different corporate cultural types: an empirical investigation. Journal of Management Information Systems, 23(2), 267-294.
    Brillouin, L. (2013). Science and information theory: Courier Corporation.
    Butt, M. M., & de Run, E. C. (2010). Private healthcare quality: applying a SERVQUAL model. International journal of health care quality assurance.
    Büyüközkan, G. (2009). Determining the mobile commerce user requirements using an analytic approach. Computer Standards & Interfaces, 31(1), 144-152.
    Carman, J. M. (1990). Consumer perceptions of service quality: an assessment of T. Journal of retailing, 66(1), 33.
    Cheung, R., & Vogel, D. (2012). Designing Web 2.0 collaboration tools to support project-based learning: An activity-oriented approach. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 3(2), 1-14.
    Chow, M., Herold, D. K., Choo, T.-M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Computers & Education, 59(4), 1136-1144.
    Conklin, J. H., Gotterer, M. H., & Rickman, J. (1982). On-line terminal response time: The effects of background activity. Information & Management, 5(3), 169-173.
    Cronin Jr, J. J., & Taylor, S. A. (1994). SERVPERF versus SERVQUAL: reconciling performance-based and perceptions-minus-expectations measurement of service quality. Journal of marketing, 58(1), 125-131.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    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.
    Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
    Fishbein, M., & Ajzen, I. (1980). Predicting and understanding consumer behavior: Attitude-behavior correspondence. Understanding attitudes and predicting social behavior, 148-172.
    Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2019). IS success model in e-learning context based on students' perceptions. Journal of Information systems education, 21(2), 4.
    Frodi, A., & Thompson, R. (1985). Infants' affective responses in the strange situation: Effects of prematurity and of quality of attachment. Child development, 1280-1290.
    Frohman, M. A., Dush, M. K., & Martin, G. R. (1988). Rapid production of full-length cDNAs from rare transcripts: amplification using a single gene-specific oligonucleotide primer. Proceedings of the National Academy of Sciences, 85(23), 8998-9002.
    Gay, L. R., Mills, G. E., & Airasian, P. W. (1992). Educational research: Competencies for analysis and application.
    Ghobadian, A., Speller, S., & Jones, M. (1994). Service quality. International journal of quality & reliability management.
    Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. The Journal of Strategic Information Systems, 19(3), 207-228.
    Grew, N. (1984). The description and use of the pores in the skin of the bands and feet, by the learned and ingenious Nehemiah Grew, MD Fellow of the College of physicians and of the Royal Society. Philosophical Transactions of the Royal Society of London, 14(159), 566-567.
    Gronroos, C. (1984). A service quality model and its marketing implications.
    Haas, E. P. (2004). Back to the Future-The Use of Biometrics, Its Impact of Airport Security, and How This Technology Should Be Governed. J. Air L. & Com., 69, 459.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
    Hamilton, S., & Chervany, N. L. (1981). Evaluating information system effectiveness-Part I: Comparing evaluation approaches. MIS quarterly, 55-69.
    Hong, S.-C., & Goo, Y. J. (2004). A causal model of customer loyalty in professional service firms: an empirical study. International Journal of Management, 21(4), 531.
    Jain, A., Hong, L., & Pankanti, S. (2000). Biometric identification. Communications of the ACM, 43(2), 90-98.
    Jain, A. K., Bolle, R., & Pankanti, S. (2006). Biometrics: personal identification in networked society (Vol. 479): Springer Science & Business Media.
    Jain, S. K., & Gupta, G. (2004). Measuring service quality: SERVQUAL vs. SERVPERF scales. Vikalpa, 29(2), 25-38.
    Johnson, N. L., Kemp, A. W., & Kotz, S. (2005). Univariate discrete distributions (Vol. 444): John Wiley & Sons.
    Juran, J. M., Gryna, F. M., & Bingham, R. S. (1974). Quality control handbook: McGraw Hill.
    Kautonen, T., Van Gelderen, M., & Fink, M. (2015). Robustness of the theory of planned behavior in predicting entrepreneurial intentions and actions. Entrepreneurship theory and practice, 39(3), 655-674.
    Kettinger, W. J., & Lee, C. C. (1997). Pragmatic perspectives on the measurement of information systems service quality. MIS quarterly, 223-240.
    Kheng, L. L., Mahamad, O., & Ramayah, T. (2010). The impact of service quality on customer loyalty: A study of banks in Penang, Malaysia. International journal of marketing studies, 2(2), 57.
    Kingsbury, N. R. (2002). Review of Studies of the Economic Impact of the September 11, 2001, Terrorist Attacks on the World Trade Center: DIANE Publishing.
    Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision support systems, 29(3), 269-282.
    Leong, L.-Y., Hew, T.-S., Lee, V.-H., & Ooi, K.-B. (2015). An SEM–artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline. Expert Systems with Applications, 42(19), 6620-6634.
    Lewis, B. R. (1989). Quality in the service sector: a review. International Journal of Bank Marketing.
    Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.
    Lutz, R. J., & Kakkar, P. (1975). The psychological situation as a determinant of consumer behavior. ACR North American Advances.
    Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & management, 1(4), 219-234.
    Mayer, J. C. A. (1777). JCA Mayers Anatomische Beschreibung der Blutgefässe des menschlichen Körpers: Decker.
    McGill, T., Hobbs, V., & Klobas, J. (2003). User developed applications and information systems success: A test of DeLone and McLean's model. Information Resources Management Journal (IRMJ), 16(1), 24-45.
    McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information systems research, 13(3), 296-315.
    McKnight, D. H., Lankton, N. K., Nicolaou, A., & Price, J. (2017). Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust. The Journal of Strategic Information Systems, 26(2), 118-141.
    Miller, J., & Doyle, B. A. (1987). Measuring the effectiveness of computer-based information systems in the financial services sector. MIS quarterly, 107-124.
    Miller, R. B. (1968). Response time in man-computer conversational transactions. Paper presented at the Proceedings of the December 9-11, 1968, fall joint computer conference, part I.
    Moo-Young, R. (2001). Eyeing the future: Surviving the criticisms of biometric authentication. NC Banking Inst., 5, 421.
    Negash, S., Ryan, T., & Igbaria, M. (2003). Quality and effectiveness in web-based customer support systems. Information & management, 40(8), 757-768.
    Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of management information systems, 21(4), 199-235.
    Notani, A. S. (1998). Moderators of perceived behavioral control's predictiveness in the theory of planned behavior: A meta‐analysis. Journal of consumer psychology, 7(3), 247-271.
    Ojo, A. I. (2017). Validation of the DeLone and McLean information systems success model. Healthcare informatics research, 23(1), 60-66.
    Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50.
    Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.
    Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. MIS quarterly, 173-187.
    Planning, S. (2002). The economic impacts of inadequate infrastructure for software testing. National Institute of Standards and Technology.
    Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50-69.
    Rezaei, J., Kothadiya, O., Tavasszy, L., & Kroesen, M. (2018). Quality assessment of airline baggage handling systems using SERVQUAL and BWM. Tourism Management, 66, 85-93.
    Rudie, M. J., & Wansley, H. B. (1985). The merrill lynch quality program. Paper presented at the Services Marketing in a changing Environment.
    Saeed, A., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., . . . Thiagarajan, M. (2003). TM4: a free, open-source system for microarray data management and analysis. Biotechniques, 34(2), 374-378.
    Saha, P., Nath, A. K., & Salehi‐Sangari, E. (2012). Evaluation of government e‐tax websites: an information quality and system quality approach. Transforming Government: People, Process and Policy.
    Saracevic, T., & Kantor, P. B. (1997). Studying the value of library and information services. Part I. Establishing a theoretical framework. Journal of the American Society for Information Science, 48(6), 527-542.
    Seddon, P., & Kiew, M.-Y. (1996). A partial test and development of DeLone and McLean's model of IS success. Australasian Journal of Information Systems, 4(1).
    Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253.
    Sedera, D., Gable, G., & Chan, T. (2004). A factor and structural equation analysis of the enterprise systems success measurement model. Paper presented at the Proceedings of the 10th Americas Conference on Information Systems.
    Shannon, C. E., & Weaver, W. (1949). A mathematical model of communication. Urbana, IL: University of Illinois Press, 11.
    Sheeran, P., & Orbell, S. (1998). Do intentions predict condom use? Metaanalysis and examination of six moderator variables. British journal of social psychology, 37(2), 231-250.
    Swanson, E. B. (1974). Management information systems: appreciation and involvement. Management science, 21(2), 178-188.
    Taylor, R. S., & Taylor, R. S. (1986). Value-added processes in information systems: Greenwood Publishing Group.
    Teas, R. K. (1993). Expectations, performance evaluation, and consumers’ perceptions of quality. Journal of marketing, 57(4), 18-34.
    Trauring, M. (1963). Automatic comparison of finger-ridge patterns. Nature, 197(4871), 938-940.
    Venkatesh, V., & Agarwal, R. (2006). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Science, 52(3), 367-382.
    Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
    Wang, J.-S., Liu, C.-H., & Shyu, J. Z. (2013). Biometrics technology evaluating and selecting model building. Technology Analysis & Strategic Management, 25(9), 1067-1083.
    Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of management information systems, 12(4), 5-33.
    Webster, D. M., & Kruglanski, A. W. (1994). Individual differences in need for cognitive closure. Journal of personality and social psychology, 67(6), 1049.
    Yadav, R., & Pathak, G. S. (2016). Young consumers' intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732-739.
    Zeithaml, V., Bitner, M., & Gremler, D. (2003). Customer perceptions of service. Services Marketing: Integrating Customer Focus across the Firm.
    Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1988). Communication and control processes in the delivery of service quality. Journal of marketing, 52(2), 35-48.
    Zhang, H., & Deng, Y. (2018). Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory. Advances in Mechanical Engineering, 10(11), 1687814018809184.

    下載圖示 校內:2025-09-01公開
    校外:2025-09-01公開
    QR CODE