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| Title: | 生物辨識邊境管理系統設計之期望落差探討
Investigating Expectation Disconfirmation on Biometric Recognition System Design for Border Management |
| Authors: | 林逸塵
Lin, I-Chen |
| Contributors: | 洪為璽
季延平
Hung, Wei-Hsi
Chi, Yan-Ping
林逸塵
Lin, I-Chen |
| Keywords: | 生物辨識系統
設計科學
邊境管理
電子化服務品質
期望落差
Biometric recognition system
Design science research methodology
Border control
E-service quality
Expectation disconfirmation |
| Date: | 2021 |
| Issue Date: | 2021-12-01 14:29:35 (UTC+8) |
| Abstract: | 隨著各國邊境旅運量迅速成長，在邊境安全與通關服務造成挑戰，利用資訊科技執行邊境管理成為趨勢，故瞭解使用者對於資訊科技的期望落差，在達成邊境任務至為關鍵。在智慧通關場域，生物辨識邊境管理系統優化既有查驗工作，在旅客到達查驗檯前進行生物特徵採擷，透過生物特徵資料庫進行比對，輔助邊境人員正確識別旅客身分，以資訊科技取得保障國家安全與通關便利的效果。本研究探討生物辨識技術應用在邊境管理資訊系統服務品質，以設計科學方法建置指紋生物特徵辨識系統時，指紋擷取與比對流程能滿足邊境人員與旅客使用需要。更進一步，本研究以我國查驗作業整合生物辨識科技之情境，來探討資訊人員、邊境人員與委外廠商不同角色對於電子化服務品質認知程度，並以層級分析法蒐集生物辨識邊境管理系統設計之期望落差，系統電子化服務品質構面包含：「效率」、「系統可用性」、「履行性」、「隱私與安全性」、「回應性」、「網站設計」，針對不同角色，進行AHP問卷調查。從整體認知的服務品質權重觀點，本研究發現資訊人員與邊境人員前三大期望落差為「保護旅客基本資料(3.4%)」、「保護旅客的特種個人資訊(3.2%)」及「不會當機(3.0%)」，而資訊人員與委外廠商前三大期望落差為「即時處理使用者問題(3.2%)」、「系統提供的資訊是可信賴的(2.9%)」及「不會當機(2.5%)」。以上經由資深資訊人員的深度訪談，歸納出落差因素為「專業差異」、「責任差異」、「認知差異」、「自我特性差異」及「目的差異」，未來利害關係人透過落差因素進行充分溝通，可以縮小彼此落差程度，讓系統整體服務品質更符合使用者期望，進而增加使用系統的滿意度。
Rapidly increasing traveler traffic has burdened border security and clearance service. Therefore, assisting border guards and travelers to carry out sustainable border strategies with information technology (IT) is becoming crucial. The key of such a strategy is centered on the interaction between IT and user characteristics. When travelers arrive at the border, the system will compare a live biometric sample of a traveler against images of them obtained from the database for border control. The system offers a solution to balance the convenience of passengers and the role of inspectors. This research explores the needs of identification derived from border management using design science research methodology to implement a fingerprint system. The expectation disconfirmation among IT staff, outsourcing contractors and border guards on e-service quality are investigated. The constructs of e-service quality include "efficiency", "system availability", "fulfilment", "privacy and security", "responsiveness", and "website design". This research adopts the AHP questionnaire to study the expectation disconfirmation among different roles. The top three expectation disconfirmations (IT staff vs. border guard) are "protecting personal information (3.4%)", "protecting special personal information (3.2%)", and "no system crash (3.0%)". The expectation disconfirmations (IT staff vs. outsourcing contractor) are "handling of user problems in real-time (3.2%)", "the reliable information provided by the system (2.9%)", and "no system crash (2.5%)". Semi-structured interviews were conducted with three senior IT staff. The major disconfirmation factors are "professional differences", "responsibility differences", "cognitive differences", "characteristics of the self-concept differences", and "purpose differences". It is necessary to pay more attention to the expectation disconfirmation of e-service quality in order to increase user satisfaction on the system. |
| Reference: | 內政部(2020)。Statistical Yearbook of Interior移民業務年報。內政部網站統計主題專區。取自：https://www.moi.gov.tw/files/site_stuff/321/2/year/year_en.html
世界衛生組織(2021)。Coronavirus (COVID-19) Dashboard。COVID-19統計專區網站。取自：https://covid19.who.int/
行政院(2021)。國土安全政策核心任務。行政院國土安全政策會報網站。取自：https://ohs.ey.gov.tw/
李政展(2009)。全球化人口移動之國境管理安全之研究。國立中山大學中國與亞太區域研究所碩士論文，未出版，高雄市。
邱顯貴(2003)。電子商務網站信任管理之研究。國立政治大學資訊管理研究所博士論文，未出版，台北市。
周桂田(2008)。全球在地化風險典範之衝突－生物特徵辨識作為全球鐵的牢籠。政治與社會哲學評論，(24)，頁101-189。
許季暐(2019)。國土安全脈絡下台灣反恐之研究。國立中正大學戰略暨國際事務研究所碩士論文。未出版。嘉義。
陳建華(2011)。歐盟國境管理運用生物特徵辨識及其對個人資料保護影響之研究。中央警察大學外事警察研究所碩士論文。未出版。桃園。
鄧振源、曾國雄(1989)。層級分析法(AHP)的內涵特性與應用(上)。中國統計學報。27(6)，頁5-22。
Abomhara, M., Yayilgan, S. Y., Nymoen, A. H., Shalaginova, M., Székely, Z., & Elezaj, O. (2019). How to do it right: a framework for biometrics supported border control. proceedings of the International Conference on e-Democracy, pp. 94-109.
Aguila-Obra, D., Padilla-Meléndez, A., & Al-dweeri, R. (2013). The influence of electronic service quality on loyalty in postal services: The mediating role of satisfaction. Total Quality Management & Business Excellence, 24(9-10), 1111-1123.
Akinci, S., Atilgan-Inan, E., & Aksoy, S. (2010). Re-assessment of E-S-Qual and E-RecS-Qual in a pure service setting. Journal of Business Research, 63(3), 232-240.
Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of Marketing, 58(3), 53-66.
Barnes, S., & Vidgen, R. (2000). Webqual: An exploration of web-site quality. Proceedings of the 8th European Conference on Information Systems, pp. 298-305.
Barrutia, J. M., & Gilsanz, A. (2009). e‐Service quality: Overview and research agenda. International Journal of Quality and Service Sciences, 1(1), 29-50.
Bernardo, M., Llach, J., Marimon, F., & Alonso-Almeida, M. M. (2013). The balance of the impact of quality and recovery on satisfaction: the case of e-travel. Total Quality Management & Business Excellence, 24(12), 1390-1404.
Blanco-Gonzalo, R., Lunerti, C., Sanchez-Reillo, R., & Guest, R. M. (2018). Biometrics: Accessibility challenge or opportunity?. PloS one, 13(3), e0196372.
Blanco-Gonzalo, R., Miguel-Hurtado, O., Lunerti, C., Guest, R. M., Corsetti, B., Ellavarason, E., & Sanchez-Reillo, R. (2019). Biometric systems interaction assessment: The state of the art. IEEE Transactions on Human-Machine Systems, 49(5), 397-410.
Boshoff, C. (2007). A psychometric assessment of E-S-QUAL: A scale to measure electronic service quality. Journal of Electronic Commerce Research, 8(1), 101-114.
Caldwell, T. (2015). Market report: border biometrics. Biometric Technology Today, 2015(5), 5-11.
Cantarero, D. C., Herrero, D. A. P., & Méndez, F. M. (2013). A multi-modal biometric fusion implementation for ABC systems. Proceedings of the 2013 European Intelligence and Security Informatics Conference, pp.277-280.
Carlos-Roca, L. R., Torres, I. H., & Tena, C. F. (2018). Facial recognition application for border control. Proceedings of the 2018 International Joint Conference on Neural Networks, pp.1-7.
Chang, W. L. (2011). A mixed-initiative model for quality-based e-services pricing. Total Quality Management & Business Excellence, 22(9), 975-991.
Choo, C. W. (1996). The knowing organization: How organizations use information to construct meaning, create knowledge and make decisions. International journal of information management, 16(5), 329-340.
Choo, C. W. (2005). The knowing organization how organizations use information to construct meaning, create knowledge, and make decisions. New York, USA: Oxford University Press.
Choo, C. W., & Johnston, R. (2004). Innovation in the knowing organization: a case study of an e‐commerce initiative. Journal of Knowledge Management, 8(6), 77-92
Ministry of Transportation and Communications(2018). Accelerate the promotion of smart airports and improve the efficiency of clearance service. Retrieved from https://www.motc.gov.tw/ch/home.jsp?id=2&parentpath=0&mcustomize=news_view.jsp&dataserno=201812180008&aplistdn=ou=data,ou=news,ou=chinese,ou=ap_root,o=motc,c=tw&toolsflag=Y&imgfolder=img%2Fstandard
Connolly, R., Bannister, F., & Keaney, A. (2010). Government website service quality: A study of the Irish revenue online service. European Journal of Information Systems, 19(6), 649-667.
Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). New York: McGraw-Hill.
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55-68.
Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29-51.
De Ruyter, K., Bloemer, J., & Peeters, P. (1997). Merging service quality and service satisfaction. An empirical test of an integrative model. Journal of Economic Psychology, 18(4), 387-406.
Department of Homeland Security. (2002). First National Strategy for Homeland Security. Retreive from https://www.dhs.gov/publication/first-national-strategy-homeland-security
El-Abed, M., Giot, R., Hemery, B., & Rosenberger, C. (2010). A study of users` acceptance and satisfaction of biometric systems. Proceedings of the 44th Annual 2010 IEEE International Carnahan Conference on Security Technology, pp.170-178.
Fassnacht, M., & Koese, I. (2006). Quality of electronic services: Conceptualizing and testing a hierarchical model. Journal of Service Research, 9(1), 19-37.
Fergusson, J. (2014). Twelve seconds to decide: The principle of best practice. Luxembourg: Publications Office of the European Union.
Frontex. (2012). Best practice operational guidelines for automated border control (ABC), Retrieved from http://frontex.europa.eu/assets/Publications/Research/Best_Practice_Operational_Guidelines_ ABC.pdf
Genovese, A., Piuri, V., & Scotti, F. (2014). Touchless palmprint recognition systems. Cham, Switzerland: Springer.
Gingras, L., & McLean, E. R. (1982). A study in differing profiles. Proceedings of the Third International Conference on Information Systems, pp. 169.
Gold, S. (2012). Border control biometrics and surveillance. Biometric Technology Today, 2012(7), 9-11.
Gorodnichy, D. O. (2011). Multi-order biometric score analysis framework and its application to designing and evaluating biometric systems for access and border control. Proceedings of the 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, pp. 44-53.
Herington, C., & Weaven, S. (2009). E‐retailing by banks: e‐service quality and its importance to customer satisfaction. European Journal of Marketing, 43(9/10), 1220-1231.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design research in information systems research. MIS Quarterly, 28(1), 75-105.
Hong, L., Jain, A. K., & Pankanti, S. (1999). Can multibiometrics improve performance? Proceedings of IEEE Workshop on Automatic Identification Advanced Technologies, pp. 59-64.
iBorderCtrl. (2016). Intelligent Portable Control System. Retrieved from www.iborderctrl.eu/
International Civil Aviation Organisation (2015). Machine Readable Travel Documents 9303. Retrieved from https://www.icao.int/publications/pages/publication.aspx?docnum=9303
Jain, A. K., & Pankanti, S. (2008). Beyond fingerprinting: is biometrics the best bet for fighting identity theft? Scientific American, 299(3), 78-81.
Jain, A. K., Ross, A., & Prabhakar, S. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4-20.
Jeandesboz, J. (2016). Smartening border security in the European Union: An associational inquiry. Security Dialogue, 47(4), 292-309.
Jiang, X., & Ji, S. (2014). E-Government web portal adoption: The effects of service quality. e-Service Journal, 9(3), 43-60.
Jun, M., Yang, Z., & Kim, D. (2004). Customers` perceptions of online retailing service quality and their satisfaction. International Journal of Quality & Reliability Management, 21(8), 817-840.
Kanak, A. (2018). Biometric ontology for semantic biometric-as-a-service (BaaS) applications: a border security use case. IET Biometrics, 7(6), 510-518.
Kim, M., Kim, J., & Lennon, S. J. (2006). Online service attributes available on apparel retail web sites: An E-S-Qual approach. Managing Service Quality, 16(1), 51-77.
Kim, S., & Stoel, L. (2004). Apparel retailers: website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(2), 109-117.
Ku, E. C. S., & Chen, C. D. (2013). Fitting facilities to self-service technology usage: Evidence from kiosks in Taiwan airport. Journal of Air Transport Management, 32, 87-94.
Kukula, E. P., Sutton, M. J., & Elliott, S. J. (2010). The human–biometric-sensor interaction evaluation method: Biometric performance and usability measurements. IEEE Transactions on Instrumentation and Measurement, 59(4), 784-791.
Labati, R., Genovese, A., Muñoz, E., Piuri, V., Scotti, F., & Sforza, G. (2016). Biometric recognition in automated border control: A Survey. ACM Computing Surveys, 49(2), 24:1-24:39.
Labati, R. D., Genovese, A., Ballester, E. M., Piuri, V., Scotti, F., & Sforza, G. (2015). Automatic classification of acquisition problems affecting fingerprint images in automated border controls. Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence, pp. 354-361.
Labati, R. D., Genovese, A., Muñoz, E., Piuri, V., Scotti, F., & Sforza, G. (2015). Advanced design of automated border control gates: Biometric system techniques and research trends. Proceedings of the 2015 IEEE International Symposium on Systems Engineering, pp. 412-419.
Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e‐service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176.
Lee, T. (2016). Biometrics and disability rights: Legal compliance in biometric identification programs. Journal of law, technology & policy, 2016(2), 209.
Lewis, J. R. (2001). Current issues in usability evaluation. International Journal of Human-Computer Interaction, 13(4), 343-349.
Lin, I. C., & Hung, W. H. (2021). Establishment of biometric verification system based on design science research methodology and sensing system for smart border control. Sensors and Materials, 33(6), 1897-1916.
Lin, S. P., Chan, Y. H., & Tsai, M. C. (2009). A transformation function corresponding to IPA and gap analysis. Total Quality Management & Business Excellence, 20(8), 829-846.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. CA: Sage. Beverly Hills.
Loiacono, E., Watson, R., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing Theory and Applications, 13(3), 432-438.
MacLeod, V., & McLindin, B. (2011). Methodology for the evaluation of an international airport automated border control processing system. Innovations in Defence Support Systems-2, 338, 115-145.
Madu, C. N., & Madu, A. A. (2002). Dimensions of e‐quality. International Journal of Quality & Reliability Management, 19(3), 246-258.
Maltoni, D., Maio, D., Jain, A. K., & Prabhakar, S. (2009). Handbook of fingerprint recognition. Berlin: Springer Science & Business Media.
March, S. T., & Smith, G. F. (1995). Design and natural science research on information technology. Decision Support Systems, 15(4), 251-266.
Martínez-Caro, E., Cegarra-Navarro, J. G., & Cepeda-Carrión, G. (2015). An application of the performance-evaluation model for e-learning quality in higher education. Total Quality Management & Business Excellence, 26(5-6), 632-647.
Mitsilegas, V. (2012). Immigration control in an era of globalization: Deflecting foreigners, weakening citizens, and strengthening the state. Indiana Journal of Global Legal Studies, 19(1), 3-60.
Mohsin, A. H., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Albahri, A. S., Alsalem, M. A., & Mohammed, K. I. (2019). Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication. Computer standards and interfaces, 66, 103343.
National September 11 Memorial & Museum (2021). The Memorial. Retrieved from https://www.911memorial.org/visit/memorial
Neurotechnology (2020). Fingerprint identification for stand-alone or Web solutions. Retrieved from https://www.neurotechnology.com/verifinger.html
Ngugi, B., Kamis, A., & Tremaine, M. (2011). Intention to use biometric systems. e-Service Journal, 7(3), 20-46.
Nguyen, H. M., Rattani, A., & Derakhshani, R. (2019). Biometrics fusion with applications in passenger re-authentication for automated border control Systems. Proceedings of the 2019 IEEE International Symposium on Technologies for Homeland Security, pp. 1-7.
Nusair, K., Kandampully, J., & Nusair, K. (2008). The antecedents of customer satisfaction with online travel services: A conceptual model. European Business Review, 20, 4-19.
Oh, J., Lee, U., & Lee, K. (2019). Usability evaluation model for biometric system considering privacy concern based on MCDM model. Security and Communication Networks, 2019, 8715264.
Oliver, R. L. (1993). A conceptual model of service quality and service satisfaction : Comparative goals, different concepts. Advances in Service Marketing and Management, 2, 65-85.
Oliver, R. L. (1994). Conceptual issues in the structural analysis of consumption emotion, satisfaction, and quality: Evidence in a service setting. Advances in Consumer Research, 21. 16-22.
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., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL:A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
Peffers, K., Tuunanen, T., Gengler, C. E., Rossi, M., Hui, W., Virtanen, V., & Bragge, J. (2006). Design science research process: A model for producing and presenting information systems research. Proceedings of the First International Conference on Design Science Research in Information Systems and Technology, pp. 83-106.
Peffers, K., Tuunanen, T., & Niehaves, B. (2018). Design science research genres: Introduction to the special issue on exemplars and criteria for applicable design science research. European Journal of Information Systems, 27(2), 129-139.
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45-77.
Pisani, P. H., Mhenni, A., Giot R., Cherrier, E., Poh, N., Ferreira de Carvalho, A. C. P. d. L., Rosenberger C., & Amara, N. E. B. (2019). Adaptive biometric systems: Review and perspectives. ACM Computer Survey, 52(5), 1-38.
Rafiq, M., Lu, X., & Fulford, H. (2012). Measuring Internet retail service quality using E-S-QUAL. Journal of Marketing Management, 28, 1159-1173.
Robertson, J. J., Guest, R. M., Elliott, S. J., & Connor, K. O. (2017). A framework for biometric and interaction performance assessment of automated border control processes. IEEE Transactions on Human-Machine Systems, 47(6), 983-993.
Saaty, T. L. (2006). Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. PA, U.S.A: RWS.
Sahadev, S., & Purani, K. (2008). Modelling the consequences of e‐service quality. Marketing Intelligence & Planning, 26(6), 605-620.
Salmela, L., Toivonen, S., Kulju, M., & Ylikauppila, M. (2018). Digital transformation in border checks: Mapping border guard training in automated processes. Proceddings of the 2018 European Intelligence and Security Informatics Conference, pp. 61-64.
Santos, J. (2003). E-service quality: A model of virtual service quality dimensions. Managing Service Quality, 13, 233-246.
Sasse, M. A. (2007). Red-Eye Blink, Bendy Shuffle, and the Yuck Factor: A user experience of biometric airport systems. IEEE Security & Privacy, 5(3), 78-81.
Schniederjans, M. J., Hamaker, J. L., & Schniederjans, A. M. (2010). Information technology investment: Decision-making methodology. New Jersey: World Scientific.
Shankar, A., & Datta, B. (2020). Measuring e-service quality: A review of literature. International Journal of Services Technology and Management, 26(1), 77-100.
Snead, K. C., & Ndede-Amadi, A. A. (2002). Attributional bias as a source of conflict between users and analysts in an information systems development context-Hypotheses development. Systemic Practice and Action Research, 15(5), 353-365.
Strandvik, T., & Liljander, V. (1995). A comparison of episode performance and relationship performance for a discrete service. Dienstleistungsmarketing-Konzaptionen und Andewendungen ,Berlin: Springer.
Sun, Q., Wang, C., & Cao, H. (2009). Applying E-S-QUAL scale to analysis the factors affecting consumers to use internet banking services. Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering, pp. 242-245.
Surjadjaja, H., Ghosh, S., & Antony, J. (2003). Determining and assessing the determinants of e‐service operations. Managing Service Quality, 13(1), 39-53.
Theofanos, M. F., Stanton, B. C., & Wolfson, C. (2008). Usability and Biometrics: Ensuring Successful Biometric Systems. Retrieved from https://www.nist.gov/publications/usability-and-biometrics-ensuring-successful-biometric-systems
Vinothkumar, C., & Parakkal, P. J. B. (2015). Multimodal biometric authentication process for high secured border control. Research Journal of Pharmacy and Technology, 8(9), 1264-1268.
Waltz, C. F., Strickland, O. L., & Lenz, E. R. (2010). Measurement in nursing and health research, New York, USA: Springer.
Wang, R., & Fang, B. (2008). Affective computing and biometrics based HCI surveillance system. Proceedings of the 2008 international symposium on information science and engineering, pp. 192-195.
Whyte, G., Bytheway, A., & Edwards, C. (1997). Understanding user perceptions of information systems success. The Journal of Strategic Information Systems, 6(1), 35-68.
Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.
Wu, K. W., & Ding, M. C. (2007). Validating the american customer satisfaction index model in the online context: An empirical study of U.S. consumer electronics e-tailers. The International Journal of Business and Information, 2(2), 199-220.
Yang, H.E., Cheng, W.J., Chan, J.Y., Pan, B.C., & Chen, C.S. (2010). Applying an extended ES-Qual scale to assess the effects of e-service quality on online loyalty with customer satisfaction and perceived value as mediators. Proceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, pp. 55-59.
Yang, H. E., & Tsai, F. S. (2007). General E-S-QUAL scales applied to websites satisfaction and loyalty model. Communications of the IIMA, 7(2), 115-126.
Yang, Z., & Fang, X. (2004). Online service quality dimensions and their relationships with satisfaction. International Journal of Service Industry Management, 15(3), 302-326.
Yanushkevich, S. N., Stoica, A., & Shmerko, V. P. (2006). Semantic framework for biometric-based access control systems. Proceedings of the 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, pp. 11-16.
Yaya, L. H. P., Marimon, F., & Fa, M. C. (2012). Assessing e-service quality: the current state of E-S-QUAL. Total Quality Management & Business Excellence, 23(12), 1363-1378.
Yaya, L. H. P., Marimon, F., & Casadesus, M. (2011). Customer`s loyalty and perception of ISO 9001 in online banking. Industrial Management & Data Systems, 111(8), 1194-1213.
Ylikauppila, M., Toivonen, S., Kulju, M., & Jokela, M. (2014). Understanding the factors affecting UX and technology acceptance in the context of automated border controls. Proceedings of the 2014 IEEE Joint Intelligence and Security Informatics Conference, pp. 168-175.
Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an internet shopping Site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31-45.
Yuan, X., Hui, S. C., Leung, M. H. K., & Gao, Y. (2004). Towards a BioAPI compliant face verification system. Computer standards and interfaces, 26(4), 289-299.
Zeithaml, V. A., & Bitner, M. J. (2000). Services marketing: Integrating customer focus across the firm (2nd ed.). Boston, Mass: McGraw-Hill.
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375.
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| Description: | 博士
國立政治大學
資訊管理學系
106356502 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0106356502 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202101734 |
| Appears in Collections: | [資訊管理學系] 學位論文
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Files in This Item:
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Description |
Size | Format | |
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| 650201.pdf | | 4324Kb | Adobe PDF2 | 0 | View/Open |
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