Výsledky vyhľadávania - "資訊管理學系"
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Alternate Title: 運用分段理論計算基本虹吸在派翠網路的僵局控制: 趙玉*,1陳俊廷1,2 政治大學資訊管理學系1 116 台北市文山區指南路二段64號 世新大學資訊管理學系2 (Chinese)
Autori:
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Dec2011, Vol. 28 Issue 8, p573-585, 13p, 5 Diagrams, 7 Charts
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Alternate Title: 啟發式物流作業人員排班推論模式: 侯建良* 國立清華大學工業工程與工程管理學系 30013 新竹市光復路二段 101 號 楊士霆 南華大學資訊管理學系 62249 嘉義縣大林鎮南華路一段 55 號 陳志源 國立清華大學工業工程與工程管理學系 30013 新竹市光復路二段 101 號 (Chinese)
Autori:
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Dec2012, Vol. 29 Issue 8, p544-558, 15p, 5 Color Photographs, 2 Diagrams, 3 Charts, 1 Graph
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Alternate Title: 製造智慧以建構半導體關鍵設備異常預警與先進設備控制之研究: 許嘉裕 元智大學資訊管理學系 32003 中壢市遠東路135號 簡禎富* 陳培穠 國立清華大學工業工程與工程管理學系 30043 新竹市光復路二段101號 (Chinese)
Autori:
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Jul2012, Vol. 29 Issue 5, p303-313, 11p, 2 Diagrams, 4 Charts, 1 Graph
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Alternate Title: 棘上肌磁振造影影像強化之診斷應用: 傅家啟 歐陽昆*王志男 國立雲林科技大學 工業工程管理研究所 林鎮江 國立台灣大學醫學院附設醫院雲林分院 骨科部 白炳豐 國立暨南國際大學資訊管理學系 (French)
Autori: a ďalší
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Mar2012, Vol. 29 Issue 2, p87-97, 11p
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Alternate Title: 二幂策略下使用延伸基本週期法求解經濟批量與檢驗排程問題: 姚銘忠* 國立交通大學運輸科技與管理學系 新竹市東區大學路 1001 號 陳世杰 東海大學工業工程與經營資訊研究所 台中市西屯區台中港路三段 181 號 985 號信箱 張育仁 東海大學資訊管理學系 台中市西屯區台中港路三段 181 號 894 號信箱 曾宗瑤 東海大學工業工程與經營資訊研究所 台中市西屯區台中港路三段 181 號 985 號信箱 (Chinese)
Autori: a ďalší
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Jan2012, Vol. 29 Issue 1, p43-60, 18p, 1 Diagram, 4 Charts
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Alternate Title: 企業導入網路服務系統之環境因素研究: 吳忠敏*台北科技大學經營管理系 106台北市忠孝東路三段一號 陳俊廷 陳春龍 政治大學資訊管理學系 (Chinese)
Autori:
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Jul2011, Vol. 28 Issue 5, p382-399, 18p, 9 Diagrams, 9 Charts
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Alternate Title: 資料包絡分析法中投入/產出變項特性之研究: 薄喬萍 義守大學工業工程與管理學系 李坤城* 和春技術學院觀光與休閒事業管理系 831高雄縣大寮鄉琉球村農場路1-10號 卜湘麟 稻江科技暨管理學院資訊管理學系 (Chinese)
Autori:
Zdroj: Journal of the Chinese Institute of Industrial Engineers; Nov2010, Vol. 27 Issue 6, p429-437, 9p, 2 Charts
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Intelligent Automation & Soft Computing. 36:2233-2252
Predmety: face detection, deep learning, equidistant track, human pose intention, Drone, remote monitoring
Popis súboru: 108 bytes; text/html
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: 隱私計算理論, 個人化服務, 感知資訊關聯, 資訊敏感度, 調節焦點, Information privacy, Personalized services, Privacy calculus, Relevance theory, Regulatory focus theory
Popis súboru: 4052177 bytes; application/pdf
Relation: 一、 中文文獻：\n[1] 何自然，冉永平（2000)。《關聯性：溝通與認知》導讀。外語教學與研究出版社。取自https://doi.org/10.1191/026765800673158592\n[2] 賴立芸（2019）。資訊隱私悖論因素探討。國立政治大學資訊管理學系碩士論文，台北市。取自https://hdl.handle.net/11296/uzx2qt\n[3] 林承穎（2017）。從調節焦點和隱私計算探討社群網站使用者隱私揭露之研究。淡江大學資訊管理學系碩士班碩士論文，新北市。取自https://hdl.handle.net/11296/xaf922\n[4] 趙庭瑋（2009）。調節焦點對尋求多樣化之影響。國立臺灣大學商學研究所碩士論文，台北市。取自http://ntur.lib.ntu.edu.tw//handle/246246/184558\n[5] 馬慶玲（2010）。調節焦點影響廣告效果之研究。國立政治大學心理學研究所碩士論文，台北市。 取自https://hdl.handle.net/11296/uemup5\n\n二、 英文文獻：\n[1] Anderson, C. L., &Agarwal, R. (2011). The digitization of healthcare: Boundary risks, emotion, and consumer willingness to disclose personal health information. In Information Systems Research (Vol. 22, Issue 3, pp. 469–490). https://doi.org/10.1287/isre.1100.0335\n[2] Bansal, G., Zahedi, F. M., &Gefen, D. (2010). The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems, 49(2), 138–150. https://doi.org/10.1016/j.dss.2010.01.010\n[3] Basyuk, D., Prymak, T., &Pohuda, N. (2018). The role of informational technologies in creating a personalized customer experience: a case study of tourism branch in Ukraine. Centre for European Studies (CES) Working Papers, 10(3),406–422. http://search.ebscohost.com/login.aspx?direct=true&db=asx&AN=133272521&lang=de&site=eds-live\n[4] Brown, J. O., Broderick, A. J., &Lee, N. (2007). Online Communities : Conceptualizing the Online Social Network. Journal of Interactive Marketing, 21(3), 2–20. https://doi.org/10.1002/dir\n[5] Celsi, R. L., &Olson, J. C. (1988). The Role of Involvement in Attention and Comprehension Processes. Journal of Consumer Research, 15(2), 210. https://doi.org/10.1086/209158\n[6] Chellappa, R. K., &Raymond G. Sin. (2005). Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma. Information Technology and Management, 6(2–3), 181–202. https://doi.org/10.3138/cras.42.1.7\n[7] Chellappa, R. K., &Shivendu, S. (2007). An economic model of privacy: A property rights approach to regulatory choices for online personalization. Journal of Management Information Systems, 24(3), 193–225. https://doi.org/10.2753/MIS0742-1222240307\n[8] Craciun, G. (2018). Choice defaults and social consensus effects on online information sharing: The moderating role of regulatory focus. Computers in Human Behavior, 88(June), 89–102. https://doi.org/10.1016/j.chb.2018.06.019\n[9] Culnan, M. J., Armstrong, P. K., Science, S. O., Feb, N. J., Culnan, M. J., &Armstrong, P. K. (1999). Information Privacy Concerns , Procedural Fairness , and Impersonal Trust : An Empirical Investigation. 10(1), 104–115.\n[10] Culnan, M. J., &Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323–342. https://doi.org/10.1111/1540-4560.00067\n[11] Dienlin, T., &Metzger, M. J. (2016). An Extended Privacy Calculus Model for SNSs: Analyzing Self-Disclosure and Self-Withdrawal in a Representative U.S. Sample. Journal of Computer-Mediated Communication, 21(5), 368–383. https://doi.org/10.1111/jcc4.12163\n[12] Dinev, T., &Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080\n[13] Dinev, T., Xu, H., Smith, J. H., &Hart, P. (2013). Information privacy and correlates: An empirical attempt to bridge and distinguish privacyrelated concepts. European Journal of Information Systems, 22(3), 295–316. https://doi.org/10.1057/ejis.2012.23\n[14] Gauzente, C. (2004). Web Merchants’ Privacy and Security Statements : How Reassuring Are They for Consumers ? a Two-Sided Approach. Journal of Electronic Commerce Research, 5(3), 181–198.\n[15] Gerber, N., Gerber, P., &Volkamer, M. (2018). Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior. Computers and Security, 77, 226–261. https://doi.org/10.1016/j.cose.2018.04.002\n[16] Gupta, Ashish; Patel, Vimla L.; Greenes, R. A. (2016). Advances in Healthcare Informatics an Analytics. https://doi.org/10.1007/978-3-319-23294-2\n[17] Higgins, E. T. (1998). Promotion and Prevention: Regulatory Focus as A Motivational Principle. Advances in Experimental Social Psychology, 30(C), 1–46. https://doi.org/10.1016/S0065-2601(08)60381-0\n[18] Hsiao, C. H., Tsai, C. F., &Hsu, Y. H. (2012). The influences of self-construal and regulatory focus on impulsive buying behavior. NTU Management Review, 23(1), 119–150. https://doi.org/10.6226/NTURM2012.AUG.M5\n[19] Jung, A. R. (2017). The influence of perceived ad relevance on social media advertising: An empirical examination of a mediating role of privacy concern. Computers in Human Behavior, 70, 303–309. https://doi.org/10.1016/j.chb.2017.01.008\n[20] Kehr, F., Kowatsch, T., Wentzel, D., &Fleisch, E. (2015). Blissfully ignorant: The effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Information Systems Journal, 25(6), 607–635. https://doi.org/10.1111/isj.12062\n[21] Krasnova, H., Spiekermann, S., Koroleva, K., &Hildebrand, T. (2010). Online Social Networks: Why We Disclose Author Version. Journal of Information Technology, 25(2), 109–125.\n[22] Krishnan, M. S., &Awad, N. F. (2006). The Personalization Privacy Paradox : An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization. 30(1), 13–28.\n[23] Laufer, R. S., &Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22–42.\n[24] Li, H., &Sarathy, R. (2007). Understanding online information disclosure as a privacy calculus adjusted by exchange fairness. In ICIS 2007 Proceedings - Twenty Eighth International Conference on Information Systems.\n[25] Li, H., Sarathy, R., &Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62–71. https://doi.org/10.1080/08874417.2010.11645450\n[26] Li, H., Sarathy, R., &Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434–445. https://doi.org/10.1016/j.dss.2011.01.017\n[27] Li, Y. (2012). Theories in online information privacy research: A critical review and an integrated framework. Decision Support Systems, 54(1), 471–481. https://doi.org/10.1016/j.dss.2012.06.010\n[28] Liberman, N., Idson, L. C., Camacho, C. J., &Higgins, E. T. (1999). Promotion and prevention choices between stability and change. Journal of Personality and Social Psychology, 77(6), 1135–1145. https://doi.org/10.1037/0022-3514.77.6.1135\n[29] Liu, X. (2013). How Are People Enticed to Disclose Personal Information Despite Privacy Concerns in Social Network Sites? The Calculus Between Benefit and Cost. Journal of the American Society for Information Science and Technology, 64(July), 1852–1863. https://doi.org/10.1002/asi\n[30] Lockwood, P., Jordan, C. H., &Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854–864. https://doi.org/10.1037/0022-3514.83.4.854\n[31] Malhotra, N. K., Kim, S. S., &Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. https://doi.org/10.1287/isre.1040.0032\n[32] Milne, G. R. (1997). Consumer participation in mailing lists: A field experiment. Journal of Public Policy and Marketing, 16(2), 298–309. https://doi.org/10.1177/074391569701600210\n[33] Milne, G. R., &Gordon, M. E. (1993). Direct Mail Privacy-Efficiency Trade-offs within an Implied Social Contract Framework. Journal of Public Policy & Marketing, 12(2), 206–215. https://doi.org/10.1177/074391569101200206\n[34] Milne, G. R., Pettinico, G., Hajjat, F. M., &Markos, E. (2017). Information Sensitivity Typology: Mapping the Degree and Type of Risk Consumers Perceive in Personal Data Sharing. Journal of Consumer Affairs, 51(1), 133–161. https://doi.org/10.1111/joca.12111\n[35] Mingwei Hsu, Kharlamov, A., &Glenn Parry. (2019). Managing personalization-privacy paradox of digital services: A systematic literature review. Data for Policy.\n[36] Norberg, P. A., Horne, D. R., &Horne, D. A. (2007). The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs, 41(1), 100–126. https://doi.org/10.1111/j.1745-6606.2006.00070.x\n[37] Nowak, G. J., &Phelps, J. (1992). Understanding privacy concerns.An assessment of consumers’ information-related knowledge and beliefs. Journal of Direct Marketing, 6(4), 28–39. https://doi.org/10.1002/dir.4000060407\n[38] Odel, L. I. M., Ersuasion, I. N. P., &Angst, B. C. M. (2009). Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion.pdf. Management Information Systems Quarterly, 33(2), 339–370.\n[39] Pavlou, P. A., &Stewart, D. W. (2000). Measuring the Effects and Effectiveness of Interactive Advertising. Journal of Interactive Advertising, 1(1), 61–77. https://doi.org/10.1080/15252019.2000.10722044\n[40] Pham, M. T., &Avnet, T. (2004). Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion. Journal of Consumer Research, 30(4), 503–518. https://doi.org/10.1086/380285\n[41] Phelps, J., Nowak, G., &Ferrell, E. (2000). Privacy concerns and consumer willingness to provide personal information. Journal of Public Policy and Marketing, 19(1), 27–41. https://doi.org/10.1509/jppm.19.1.27.16941\n[42] Pötzsch, S. (2009). Privacy awareness: A means to solve the privacy paradox? IFIP Advances in Information and Communication Technology, 298(216483), 226–236. https://doi.org/10.1007/978-3-642-03315-5_17\n[43] Rohm, A. J., &Milne, G. R. (2004). Just what the doctor ordered. The role of information sensitivity and trust in reducing medical information privacy concern. Journal of Business Research, 57(9), 1000–1011. https://doi.org/10.1016/S0148-2963(02)00345-4\n[44] Sassenberg, K., Landkammer, F., &Jacoby, J. (2014). The influence of regulatory focus and group vs. individual goals on the evaluation bias in the context of group decision making. Journal of Experimental Social Psychology, 54, 153–164. https://doi.org/10.1016/j.jesp.2014.05.009\n[45] Schoenbachler, D. D., &Gordon, G. L. (2002). Trust and customer willingness to provide information in database-driven relationship marketing. Journal of Interactive Marketing, 16(3), 2–16. https://doi.org/10.1002/dir.10033\n[46] Sharma, S., &Crossler, R. E. (2014). Disclosing too much? Situational factors affecting information disclosure in social commerce environment. Electronic Commerce Research and Applications, 13(5), 305–319. https://doi.org/10.1016/j.elerap.2014.06.007\n[47] Sheehan, K. B., &Hoy, M. G. (2000). Dimensions of Privacy Concern Among Online Consumers. Journal of Public Policy & Marketing, 19(1), 62–73.\n[48] Sheng, H., Nah, F. F. H., &Siau, K. (2008). An experimental study on ubiquitous commerce adoption: Impact of personalization and privacy concerns. Journal of the Association for Information Systems, 9(6), 344–376.\n[49] Siegrist, M., Cvetkovich, G., &Roth, C. (2000). Salient value similarity, social trust, and risk/benefit perception. Risk Analysis, 20(3), 353–362. https://doi.org/10.1111/0272-4332.203034\n[50] Sitkin, S. B., &Pablo, A. L. (1992). Reconceptualizing the Determinants of Risk Behavior Author ( s ): Sim B . Sitkin and Amy L . Pablo Source : The Academy of Management Review , Vol . 17 , No . 1 ( Jan ., 1992 ), pp . 9-38 Published by : Academy of Management Stable URL : http://www.jstor. Academy of Management, 17(1), 9–38.\n[51] Sperber, D., &Wilson, D. (1986). Relevance: Communication and Cognition. In Cambridge, MA: Harvard University Press. (Vol. 142). https://doi.org/10.1111/j.1468-0017.1989.tb00246.x\n[52] Spiekermann, S., Grossklags, J., &Berendt, B. (2001). E-privacy in 2nd generation E-commerce: Privacy preferences versus actual behavior. Proceedings of the ACM Conference on Electronic Commerce, 38–47.\n[53] Stone, D. L. (1981). The effects of the valence of outcomes for providing data and the perceived relevance of the data requested on privacy-related behaviors, beliefs, and attitudes.\n[54] Sutanto, J., Palme, E., Tan, C.-H., &Phang, C. W. (2013). Addressing the personalization-privacy paradox: an empirical assessment from a field experiment on smartphone users. MIS Quarter, 37(4), 1141–1164.\n[55] Wang, T., Duong, T. D., &Chen, C. C. (2016). Intention to disclose personal information via mobile applications: A privacy calculus perspective. International Journal of Information Management, 36(4), 531–542. https://doi.org/10.1016/j.ijinfomgt.2016.03.003\n[56] Xu, H., Luo, X., Carroll, J. M., &Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52. https://doi.org/10.1016/j.dss.2010.11.017\n[57] Xu, H., Teo, H. H., Tan, B. C. Y., &Agarwal, R. (2009). The role of push-pull technology in privacy calculus: The case of location-based services. Journal of Management Information Systems, 26(3), 135–174. https://doi.org/10.2753/MIS0742-1222260305\n[58] Zhang, B., &Xu, H. (2016). Privacy nudges for mobile applications: Effects on the creepiness emotion and privacy attitudes. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 27, 1676–1690. https://doi.org/10.1145/2818048.2820073\n[59] Zhang, E. M. (2010). Beauty as a tool: The effect of model attractiveness, product relevance, and elaboration likelihood on advertising effectiveness. Psychology & Marketing, 30(6), 461–469. https://doi.org/10.1002/mar\n[60] Zhou, T. (2011). The impact of privacy concern on user adoption of location-based services. In Industrial Management and Data Systems (Vol. 111, Issue 2, pp. 212–226). https://doi.org/10.1108/02635571111115146\n[61] Zhu, Y. Q., &Chang, J. H. (2016). The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Computers in Human Behavior, 65, 442–447. https://doi.org/10.1016/j.chb.2016.08.048\n[62] Zimmer, J. C., Arsal, R. E., Al-Marzouq, M., &Grover, V. (2010). Investigating online information disclosure: Effects of information relevance, trust and risk. Information and Management, 47(2), 115–123. https://doi.org/10.1016/j.im.2009.12.003; G0107356029; https://nccur.lib.nccu.edu.tw//handle/140.119/131499; https://nccur.lib.nccu.edu.tw/bitstream/140.119/131499/1/602901.pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Information Sciences. 120:239-256
Predmety: fuzzy real number, Fuzzy distribution function, fuzzy distribution function, fuzzy random variable, Fuzzy random variable, 4. Education, central limit theorem, canonical fuzzy number, 02 engineering and technology, 16. Peace & justice, fuzzy normal distribution, 03 medical and health sciences, Limit theorems in probability theory, 0302 clinical medicine, Canonical fuzzy number, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy normal distribution, Fuzzy real number, fuzzy random variables
Popis súboru: application/xml; 111 bytes; text/html
Prístupová URL adresa: https://zbmath.org/1417241
https://doi.org/10.1016/s0020-0255(99)00063-8
http://ir.ncnu.edu.tw/handle/310010000/6057
https://dblp.uni-trier.de/db/journals/isci/isci120.html#Wu99
http://www.sciencedirect.com/science/article/pii/S0020025599000638
https://doi.org/10.1016/S0020-0255(99)00063-8
https://dl.acm.org/doi/10.1016/S0020-0255%2899%2900063-8
https://www.sciencedirect.com/science/article/abs/pii/S0020025599000638 -
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: International Journal of Human–Computer Interaction. 34:166-176
Predmety: ADOPTION, 4. Education, 0502 economics and business, 05 social sciences, INTERNET USE, ACCEPTANCE, DETERMINANTS, ATTITUDES, USAGE, OLDER-ADULTS, PERSPECTIVE, EFFICACY, DIGITAL DIVIDE
Popis súboru: 111 bytes; text/html
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Online Information Review. 40:146-167
Predmety: Consumption value theory, 2. Zero hunger, Food industry, Virtual community, Potential customer, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Popis súboru: 106 bytes; text/html
Prístupová URL adresa: https://www.emeraldinsight.com/doi/abs/10.1108/OIR-12-2014-0295
https://dialnet.unirioja.es/servlet/articulo?codigo=5351581
https://dblp.uni-trier.de/db/journals/oir/oir40.html#ChenLC16
https://www.emerald.com/insight/content/doi/10.1108/OIR-12-2014-0295/full/html
https://researchoutput.ncku.edu.tw/zh/publications/a-method-of-potential-customer-searching-from-opinions-of-network -
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: blockchain, call auction, Hyperledger Fabric, loyalty program
Popis súboru: 104 bytes; text/html
Relation: Journal of Theoretical and Applied Electronic Commerce Research開放取用卷 17, 期 3, 頁 1107 - 1123 September 2022; https://irlib.pccu.edu.tw//handle/987654321/51903; https://irlib.pccu.edu.tw/bitstream/987654321/51903/2/index.html
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: 金融科技, 文獻回顧, 資訊系統, 金融, Fintech, Literature review, Information systems, Finance
Popis súboru: 1354941 bytes; application/pdf
Relation: Abbasi, A., Sarker, S., & Chiang, R. H. L. (2016). Big Data Research in Information Systems: Toward an Inclusive Research Agenda. Journal of the Association of Information Systems, 17(2), 3-32.\nAdam, M., Werner, D., Wendt, C., & Benlian, A. (2020). Containing COVID-19 through physical distancing: The impact of real-time crowding information. European Journal of Information Systems, 29(4), 401-420.\nAgarwal, A., Leung, A. C. M., & Konana, P. (2017). Cosearch attention and stock return predictability in supply chains. Information Systems Research, 28(3), 675-694.\nAggarwal, N., Dai, Q., & Walden, E. A. (2011). The more, the merrier? How the number of partners in a standard-setting initiative affects shareholders` risk and return. MIS Quarterly, 35(1), 127-153.\nAkey, P., Grégoire, V., & Martineau, C. (2022). Price revelation from insider trading: Evidence from hacked earnings news. Journal of Financial Economics, 147(1), 100-119.\nAkyildirim, E. (2020). 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MIS Quarterly, 37(2), 1-3.\nBhattacherjee, A., & Lin, C.-P. (2014). A unified model of IT continuance - Three complementary perspectives and crossover effects. European Journal of Information Systems, 23(4), 385-400.\nBiais, B., Bisière, C., Bouvard, M., & Casamatta, C. (2019). The Blockchain Folk Theorem. The Review of Financial Studies, 32(5), 1662-1715.\nBianchi, D. (2022). On the performance of cryptocurrency funds. Journal of Banking & Finance, 137, 106544.\nBianchi, D. (2022). Trading volume and liquidity provision in cryptocurrency markets. Journal of Banking & Finance, 135, 106165.\nBogusz, C. I., & Morisse, M. (2018). How infrastructures anchor open entrepreneurship: The case of Bitcoin and stigma. Information Systems Journal, 28(6), 1194-1217.\nBogusz, C. I., Teigland, R., & Vaast, E. (2019). Designed entrepreneurial legitimacy: The case of a Swedish crowdfunding platform. European Journal of Information Systems, 28(4), 412-436.\nBollaert, H. (2021). 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MIS Quarterly, 38(3), 773-794.\nBurtch, G., Ghose, A., & Wattal, S. (2016). Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding. Information Systems Research, 27(3), 531-546.\nBurtch, G., Ghose, A., & Wattal, S. (2019). Talking Up a Storm: How Backers Use Public Discourse to Exert Control in Crowdfunded Systems Development Projects. Information Systems Research, 30(3), 815-834.\nBurtch, G., Hong, Y., & Liu, D. (2018). The Role of Provision Points in Online Crowdfunding. Journal of Management Information Systems, 35(2), 510-540.\nButaru, F., Chen, Q., & Siddique, A. (2016). Risk and risk management in the credit card industry. Journal of Banking & Finance, 73, S135-S145.\nCahill, D. (2021). Limitations of imitation: Lessons from another Bitcoin copycat. Journal of Corporate Finance, 66, 101788.\nChaboud, A. P., Chiquoine, B., Hjalmarsson, E., & Vega, C. (2014). 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An Extensive Examination of Regression Models with a Binary Outcome Variable. Journal of the Association of Information Systems, 18(12), 1018-1056.\nChatterjee, S., Sarker, S., Lee, M. J., Xiao, X., & Elbanna, A. (2020). A possible conceptualization of the information systems (IS) artifact - A general systems theory perspective. Information Systems Journal, 30(4), 651-685.\nChava, S., & Ganduri, R. (2021). Impact of marketplace lending on consumers` future borrowing capacities and borrowing outcomes. Journal of Financial Economics, 141(2), 567-589.\nChavez-Demoulin, V. (2012). High-frequency financial data modeling using Hawkes processes. Journal of Banking & Finance, 36(12), 3415-3426.\nChen, K., Li, X., Luo, P., & Zhao, J. L. (2021). News-Induced Dynamic Networks for Market Signaling: Understanding the Impact of News on Firm Equity Value. Information Systems Research, 32(3), 872-889.\nChen, L., Xu, P., & Liu, D. (2020). Effect of Crowd Voting on Participation in Crowdsourcing Contests. Journal of Management Information Systems, 37(1), 176-207.\nChen, M. A., Wu, Q., & Yang, B. (2019). How Valuable Is FinTech Innovation? The Review of Financial Studies, 32(5), 2068-2106.\nChen, R. R., Ou, C. X., Wang, W., Peng, Z., & Davison, R. M. (2019). Moving beyond the direct impact of using CRM systems on frontline employees` service performance. Information Systems Journal, 29(2), 262-286.\nChen, T., Cheng, H. K., Jin, Y. (J.), Li, S., & Qiu, L. (2021). Impact of Competition on Innovations of IT Industry: An Empirical Investigation. Journal of Management Information Systems, 38(2), 475-502.\nChen, X. (2019). Gender gap in peer-to-peer lending: Evidence from China. Journal of Banking & Finance, 100, 280-296.\nChen, X. (2020). Naïve or sophisticated? Information disclosure and investment decisions in peer to peer lending. Journal of Corporate Finance, 62, 101576.\nChen, Y., Deng, S., Kwak, D.-H., Elnoshokaty, A., & Wu, J. (2019). A Multi-Appeal Model of Persuasion for Online Petition Success: A Linguistic Cue-Based Approach. Journal of the Association of Information Systems, 20(8), 980-1009.\nChiu, J., & Koeppl, T. V. (2019). Blockchain-Based Settlement for Asset Trading. The Review of Financial Studies, 32(5), 1716-1753.\nChong, A. Y. L., Lim, E. T. K., Hua, X., & Zheng, S. (2019). Business on Chain: A Comparative Case Study of Five Blockchain-Inspired Business Models. Journal of the Association of Information Systems, 20(12), 1742-176\nChuang, S. H., & Lin, H. N. (2017). Performance implications of information-value offering in e-service systems: Examining the resource-based perspective and innovation strategy. The Journal of Strategic Information Systems, 26(2), 137-156.\nClarke, J., Chen, H., Du, D., & Hu, Y. J. (2020). Fake News, Investor Attention, and Market Reaction. Information Systems Research, 31(3), 844-861.\nConboy, K., Gleasure, R., & Morgan, L. (2020). When crowds play god: A Promethean perspective on crowdfunding. European Journal of Information Systems, 29(1), 23-42.\nCong, L. W. (2022). Token-based platform finance. Journal of Financial Economics, 146(1), 1-23.\nCong, L. W., & He, Z. (2019). Blockchain Disruption and Smart Contracts. The Review of Financial Studies, 32(5), 1754-1797.\nCong, L. W., Li, Y., & Wang, N. (2021). Tokenomics: Dynamic Adoption and Valuation. The Review of Financial Studies, 34(5), 2314-2365.\nCooper, R., Seddon, J., & Van Vliet, B. (2017). High-Frequency Trading and Conflict in the Financial Markets. Journal of Information Technology, 32(3), 192-205.\nCortés, K., Duchin, R., & Sosyura, D. (2016). Clouded judgment: The role of sentiment in credit origination. Journal of Financial Economics, 121(2), 392-413.\nCui, T., Tong, Y., Teo, H.-H., & Li, J. (2021). Managing Knowledge Distance: IT-Enabled Inter-Firm Knowledge Capabilities in Collaborative Innovation. Journal of Management Information Systems, 38(1), 222-253.\nCumming, D. (2019). New directions in entrepreneurial finance. Journal of Banking & Finance, 100, 357-360.\nCumming, D. J. (2019). The role of due diligence in crowdfunding platforms. Journal of Banking & Finance, 107, 105615.\nCurrie, W. L., & Lagoarde-Segot, T. (2017). Financialization and Information Technology: Themes, Issues, and Critical Debates - Part I. Journal of Information Technology, 32(3), 231-247.\nCurrie, W. L., Gozman, D. P., & Seddon, J. J. M. (2018). Dialectic Tensions in the Financial Markets: A Longitudinal Study of Pre- and Post-Crisis Regulatory Technology. Journal of Information Technology, 33(4), 256-275.\nCurrie, W. L., Seddon, J. J., & M. (2017). The Regulatory, Technology, and Market `Dark Arts Trilogy` of High-Frequency Trading: A Research Agenda. Journal of Information Technology, 32(3), 206-219.\nCurto-Millet, D., & Shaikh, M. (2017). The emergence of openness in open-source projects: The case of openEHR. Journal of Information Technology, 32(4), 327-343.\nD`Acunto, F., Prabhala, N., & Rossi, A. G. (2019). The Promises and Pitfalls of Robo-Advising. The Review of Financial Studies, 32(5), 1983-2020.\nDaníelsson, J., Macrae, R., & Uthemann, A. (2021). Artificial intelligence and systemic risk. Journal of Banking & Finance, 125, 106046.\nDaníelsson, J., Macrae, R., & Uthemann, A. (2021). Artificial intelligence and systemic risk. Journal of Banking & Finance, 126, 106271.\nDas, S. R. (2019). The future of fintech. Financial Management, 48(4), 925-952.\nde Vaujany, F.-X., Fomin, V. V., Haefliger, S., & Lyytinen, K. (2018). Rules, Practices, and Information Technology: A Trifecta of Organizational Regulation. Information Systems Research, 29(3), 566-585.\nDegryse, H. (2021). Two shades of opacity: Hidden orders and dark trading. Journal of Financial Intermediation, 46, 100889.\nDemetis, D. S., & Lee, A. S. (2018). When Humans Using the IT Artifact Becomes IT Using the Human Artifact. Journal of the Association of Information Systems, 19(7), 671-700.\nDemir, T. (2021). Crowdfunding as gambling: Evidence from repeated natural experiments. Journal of Corporate Finance, 66, 101846.\nDeng, S., Huang, Z. J., Sinha, A. P., & Zhao, H. (2018). The Interaction between Microblog Sentiment and Stock Return: An Empirical Examination. MIS Quarterly, 42(2), 577-602.\nDhar, V., & Ghose, A. (2010). Research Commentary—Sponsored Search and Market Efficiency. Information Systems Research, 21(4), 760-772.\nDi Maggio, M., & Yao, V. (2020). Fintech Borrowers: Lax Screening or Cream-Skimming? The Review of Financial Studies, 33(10), 4786-4831.\nDimpfl, T., & Peter, F. J. (2021). Nothing but noise? Price discovery across cryptocurrency exchanges. Journal of Financial Markets, 55, 100699.\nDing, N. (2022). Fintech, financial constraints and innovation: Evidence from China. Journal of Corporate Finance, 74, 101864.\nDing, R., Zhou, H., & Li, Y. (2019). Social media, financial reporting opacity, and return comovement: Evidence from Seeking Alpha. Journal of Financial Markets, 44, 1-22.\nDong, J. Q., & Wu, W. (2015). Business value of social media technologies: Evidence from online user innovation communities. The Journal of Strategic Information Systems, 24(3), 163-174.\nDong, W., Liao, S., & Zhang, Z. (2018). Leveraging Financial Social Media Data for Corporate Fraud Detection. Journal of Management Information Systems, 35(4), 1080-1113.\nDong, W., Liao, S., & Zhang, Z. (2018). Leveraging Financial Social Media Data for Corporate Fraud Detection. Journal of Management Information Systems, 35(4), 1080-1113.\nDong, Y., Song, S., Venkataraman, S., & Yao, Y. (2019). Mobile Money and Mobile Technologies: A Structural Estimation. Information Systems Research, 30(4), 1265-1288.\nDong, Y., Song, S., Venkataraman, S., & Yao, Y. (2021). Mobile Money and Mobile Technologies: A Structural Estimation. Information Systems Research, 32(4), 1451-1472.\nDorfleitner, G. (2016). Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms. Journal of Banking & Finance, 66, 136-149.\nDrummer, D., Feuerriegel, S., & Neumann, D. (2017). Crossing the Next Frontier: The Role of ICT in Driving the Financialization of Credit. Journal of Information Technology, 32(3), 263-279.\nDu, W. (D.), Pan, S. L., & Zhou, N. (2017). From a marketplace of electronics to a digital entrepreneurial ecosystem (DEE). Information Systems Journal, 27(6), 621-646.\nDu, W. D., Pan, S. L., Leidner, D. E., & Ying, W. (2019). Affordances, experimentation and actualization of FinTech. The Journal of Strategic Information Systems, 28(4), 643-659.\nDugast, J. (2018). Data abundance and asset price informativeness. Journal of Financial Economics, 130(2), 357-381.\nEasley, D., López de Prado, M., O`Hara, M., & Zhang, Z. (2021). Microstructure in the Machine Age. The Review of Financial Studies, 34(5), 2275-2313.\nEaton, B., Hedman, J., & Medaglia, R. (2018). Three different ways to skin a cat: Financialisation in the emergence of national e-ID solutions. Journal of Information Technology, 33(3), 202-217.\nFarag, H. (2021). How alternative finance informs central themes in corporate finance. Journal of Corporate Finance, 68, 101970.\nFayard, A.-L., Gkeredakis, E., & Levina, N. (2016). Framing innovation opportunities while staying committed to an organizational epistemic stance. Information Systems Research, 27(4), 724-743.\nFeller, J., Gleasure, R., & Treacy, S. (2017). Information sharing and user behavior in internet-enabled peer-to-peer lending systems: An empirical study. Journal of Information Technology, 32(3), 272-287.\nFoster, C., & Heeks, R. (2013). Innovation and scaling of ICT for the bottom-of-the-pyramid. Journal of Information Technology, 28(4), 273-284.\nFu, J. (2022). Fintech in the time of COVID−19: Technological adoption during crises. Journal of Financial Intermediation, 51, 100981.\nFu, R., Huang, Y., & Singh, P. V. (2021). Crowds, lending, machine, and bias. Information Systems Research, 32(3), 1029-1050.\nFügener, A., Grahl, J., Gupta, A., & Ketter, W. (2021). Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation. Information Systems Research, 32(3), 810-828.\nGao, Q., Lin, M., & Wu, D. J. (2021). Education Crowdfunding and Student Performance: An Empirical Study. Information Systems Research, 32(2), 484-506.\nGe, R., Feng, J., Gu, B., & Zhang, P. (2017). Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending. Journal of Management Information Systems, 34(4), 1102-1133.\nGe, R., Zheng, Z. (E.), Tian, X., & Liao, L. (2021). Human-Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending. Information Systems Research, 32(4), 1399-1418.\nGlaser, F., & Risius, M. (2016). Effects of transparency: Analyzing social biases on trader performance in social trading. Journal of Information Technology, 31(3), 219-235.\nGlaser, F., & Risius, M. (2018). Effects of transparency: Analyzing social biases on trader performance in social trading. Journal of Information Technology, 33(2), 148-163.\nGleasure, R. (2015). Resistance to crowdfunding among entrepreneurs: An impression management perspective. The Journal of Strategic Information Systems, 24(2), 85-102.\nGleasure, R., & Feller, J. (2016). Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (PART 1/2). Journal of the Association of Information Systems, 17(10), 710-733.\nGleasure, R., & Morgan, L. (2017). The pastoral crowd - Exploring self-hosted crowdfunding using activity theory and social capital. Information Systems Journal, 27(2), 137-162.\nGleasure, R., O`Reilly, P., & Cahalane, M. (2017). Inclusive technologies, selective traditions: A socio-material case study of crowdfunded book publishing. Journal of Information Technology, 32(4), 285-301.\nGoldstein, I., Jiang, W., & Karolyi, G. A. (2019). To FinTech and Beyond. The Review of Financial Studies, 32(5), 1647-1686.\nGomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35(1), 220-265.\nGong, J., Pavlou, P. A., & Zheng, Z. (2021). On the Use of Probabilistic Uncertain Rewards on Crowdfunding Platforms: The Case of the Lottery. Information Systems Research, 32(4), 1369-1386.\nGozman, D., & Currie, W. (2014). The role of Investment Management Systems in regulatory compliance: A Post-Financial Crisis study of displacement mechanisms. Journal of Information Technology, 29(3), 220-235.\nGozman, D., Liebenau, J., & Mangan, J. (2018). The Innovation Mechanisms of Fintech Start-Ups: Insights from SWIFT’s Innotribe Competition. Journal of Management Information Systems, 35(1), 28-63.\nGrennan, J. (2020). FinTechs and the Market for Financial Analysis. Journal of Financial and Quantitative Analysis, 55(5), 1809-1850.\nGrønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(1), 18-35.\nGrover, V., & Niederman, F. (2021). Research Perspectives: The Quest for Innovation in Information Systems Research: Recognizing, Stimulating, and Promoting Novel and Useful Knowledge. Journal of the Association of Information Systems, 22(1), Article 1.\nGrover, V., Chiang, R. H. L., Liang, T.-P., & Zhang, D. (2018). Creating Strategic Business Value from Big Data Analytics: A Research Framework. Journal of Management Information Systems, 35(2), 388-423.\nGrover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). The Perils and Promises of Big Data Research in Information Systems. Journal of the Association of Information Systems, 21(9), 1510-1524.\nGünther, W. A., Mehrizi, M. H. R., Huysman, M., & Feldberg, F. (2017). Debating Big Data: A Literature Review on Realizing Value from Big Data. The Journal of Strategic Information Systems, 26(3), 191-209.\nHacker, J. (2020). Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis. European Journal of Information Systems, 29(5), 563-586.\nHaferkorn, M. (2017). High-Frequency Trading and its Role in Fragmented Markets. Journal of Information Technology, 32(4), 302-315.\nHasan, I. (2021). Social Capital, Trusting, and Trustworthiness: Evidence from Peer-to-Peer Lending. Journal of Financial and Quantitative Analysis, 56(3), 849-884.\nHashim, M. J., Kannan, K. N., & Maximiano, S. (2017). Information Feedback, Targeting, and Coordination: An Experimental Study. Information Systems Research, 28(1), 145-165.\nHatch, B. C., & Johnson, S. A. (2021). Algorithmic trading and firm value. Journal of Banking & Finance, 123, 106060.\nHe, Z. (2018). Money held for moving stars: Talent competition and corporate cash holdings. Journal of Corporate Finance, 52, 320-342.\nHendershott, T. (2011). Does Algorithmic Trading Improve Liquidity? Journal of Finance, 66(1), 1-33.\nHinzen, F. J. (2022). Bitcoin’s limited adoption problem. Journal of Financial Economics, 143(1), 1-24.\nHoleman, I., & Barrett, M. (2017). Insights from an ICT4D Initiative in Kenya`s Immunization Program: Designing for the Emergence of Sociomaterial Practices. Journal of the Association of Information Systems, 18(11), 904-933.\nHong, Y., Hu, Y., & Burtch, G. (2018). Embeddedness, prosociality, and social influence: Evidence from online crowdfunding. MIS Quarterly, 42(2), 413-436.\nHowell, S. T., Niessner, M., & Yermack, D. (2020). Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales. The Review of Financial Studies, 33(1), 79-111.\nHsu, C., Lin, Y.-T., & Wang, T. (2014). A legitimacy challenge of a cross-cultural interorganizational information system. European Journal of Information Systems, 23(6), 604-620.\nHu, D., Zhao, J. L., Hua, Z., & Wong, M. C. S. (2012). Network-based modeling and analysis of systemic risk in banking system. MIS Quarterly, 36(4), 1165-1188.\nHuang, J. C., Henfridsson, O., Liu, M. J., & Newell, S. (2017). Growing on steroids- Rapidly scaling the user base of digital ventures through digital innovation. MIS Quarterly, 41(1), 301-314.\nHuang, J., Henfridsson, O., & Liu, M. J. (2022). Extending Digital Ventures Through Templating. Information Systems Research, 33(1), 309-327.\nHuang, Y. (2021). What does peer-to-peer lending evidence say about the Risk-Taking Channel of monetary policy? Journal of Corporate Finance, 67, 101940.\nHuang, Y., Lim, K. H., & Lin, Z. (2021). Leveraging the Numerosity Effect to Influence Perceived Expensiveness of Virtual Items. Information Systems Research, 32(4), 1245-1266.\nHuber, R. X. R., Püschel, L. C., & Röglinger, M. (2019). Capturing smart service systems: Development of a domain-specific modelling language. Information Systems Journal, 29(2), 325-356.\nIlk, N., Shang, G., Fan, S., & Zhao, J. L. (2021). Stability of Transaction Fees in Bitcoin: A Supply and Demand Perspective. MIS Quarterly, 45(2), 673-697.\nInternational Monetary Fund. (2019). 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Journal of Information Technology, 31(2), 166-182.\nWebsites\n1. DBS Bank engages IBM’s Watson to achieve next generation customer\nexperience\n2. glo-core-digital-twins-in-logistics.pdf (dhl.com)\n3. Line Revenue and Usage Statistics (2022) - Business of Apps\n4. Distributed Ledger Software & Technology - Amazon Managed Blockchain -\nAWS\n5. Top fintech trends for 2022\n6. Ranking of Largest Fintech Companies in 2022 [Full List] - CFTE\n7. 125 Top Fintech Companies & Startups To Know In 2023 %7C Built In\n8. Why ease of integration is key to generating value from fintech technologies\n(globalbankingandfinance.com); G0110356030; https://nccur.lib.nccu.edu.tw//handle/140.119/146576; https://nccur.lib.nccu.edu.tw/bitstream/140.119/146576/1/603001.pdf
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Predmety: Acoustic wave reflection, Control systems, Flexible manufacturing systems, Manufacture, Petri nets, Closed form solutions, Closed-form formulae, Infinite system, Marked graphs, Order systems, Process steps, Recursions, Resource allocation systems, Discrete event simulation
Popis súboru: 207 bytes; text/html
Relation: IMA Journal of Mathematical Control and Information, 32(4), 823-837; https://nccur.lib.nccu.edu.tw//handle/140.119/111655; https://nccur.lib.nccu.edu.tw/bitstream/140.119/111655/1/index.html
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Zdroj: Social Behavior and Personality: an international journal. 36:373-384
Predmety: 5. Gender equality, 9. Industry and infrastructure, 0502 economics and business, 05 social sciences, 8. Economic growth, 1. No poverty, 12. Responsible consumption
Popis súboru: 405139 bytes; application/pdf
Prístupová URL adresa: https://aws.sbp-journal.com/index.php/sbp/article/view/1712
https://www.ingentaconnect.com/content/sbp/sbp/2008/00000036/00000003/art00008
https://www.sbp-journal.com/index.php/sbp/article/view/1712
https://www.questia.com/library/journal/1P3-1502905151/an-evaluation-of-explanation-effects-on-consumer-perceptions -
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Distribution of frequency, Library science, Lotka`s law, Management of technology, Information science, Information technology, Management science, Productivity, Industrial management
Relation: ACM International Conference Proceeding Series,4031351-1356; https://nccur.lib.nccu.edu.tw//handle/140.119/75470
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: 80/20 法則, 銷售策略, 顧客關係管理, 80/20 rule, sales strategy, Customer Relationship Management
Popis súboru: 144 bytes; text/html
Relation: 一、 中文文獻 [1] 李翠琴，2004，顧客關係管理之個案實證研究-以顧客利潤分析為例，國立中正大學會計與資訊科技研究所碩士論文。 [2] 吳春貴，2016，客戶消費行為與投資金額的關聯強度探討，國立中興大學高階經理系碩士論文。 [3] 吳松融，2002，在分析型的顧客關係管理模式下顧客區隔策略之研究，朝陽科技大學資訊管理系碩士論文。 [4] 林幸忞，2005，顧客屬性對顧客利潤影響之研究-以資訊通路個案公司為例，國立政治大學經營管理碩士學程會計組碩士論文。 [5] 洪莉萍，2013，客戶結構管理與經營績效之研究-以資訊通路U公司為例，碩士論文，國立政治大學經營管理系碩士論文。 [6] 徐茂練，2012，顧客關係管理（第四版），新北市：全華圖書。 [7] 張川裕，2002，關鍵客戶管理，國立台北大學企業管理學系碩士論文。 [8] 張良榮，2007，應用資料採礦技術協助制訂交叉銷售與垂直銷售策略-以某披薩業為例，逢甲大學工業工程與系統管理學研究所碩士論文。 [9] 胡政源，2013，顧客關係管理（第二版），新北市：新文京開發出版。 [10] 黃瓊華，2016，資訊通路商顧客服務策略之分析－以B公司為例，淡江大學國際企業學系碩士論文。 [11] 黃柏堯，2014，資訊系統整合商競爭策略之研究-以D公司為例，世新大學資訊管理學研究所碩士論文。 [12] 莊雅薰，2011，影響顧客利潤因素之實證研究-以定期航運產業為例，國立交通大學管理學院經營管理學程碩士論文。 [13] 賈光宇，1999，結合客戶特徵資料與消費模式探勘信用卡客戶及行銷策略之研究，私立銘傳大學資訊管理學系碩士論文。 [14] 劉文良，2013，顧客關係管理（第三版）-新時代的決勝關鍵，台北：碁峰資訊。 [15] 蔡承孝，2015，頂尖業務員的研究-探討台灣科技產業B2B 業務員個人因素對銷售行為的影響，國立清華大學科技管理研究所碩士論文。 [16] 謝曜聲，2006，資訊服務業之銷售管理策略，國立清華大學科技管理研究所碩士論文。 [17] 鄭翠琴，2003，資料探勘應用於顧客關係管理之研究-以零售業為例，國立台北大學資訊管理研究所碩士論文。 二、 英文文獻 [1] Fox, T. and Stead, S. 2001. “Customer Relationship Management: Delivering the Benefits,” White Paper, CRM（UK） Ltd. And SECOR Consulting Ltd., Stitling and Surrey, UK. [2] Kumar, V. 2010. “Customer relationship management.” John Wiley & Sons, Ltd. [3] Wayland, R. E., and Cole, P. M. 1997. “Customer connections: new strategies for growth.” Harvard Business Press. [4] Zeithaml, V. A., Rust, R. T., and Lemon, K. H. 2001. “The Customer Pyramid: creating and serving profitable customers,” California Management Review, 4; https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/114504; https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/114504/1/index.html
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Future Internet, Vol 13, Iss 9, p 226 (2021)
Future Internet
Volume 13
Issue 9Predmety: Sentiment analysis, Online travel agency, sentiment analysis, 0502 economics and business, 05 social sciences, online travel agency, 0202 electrical engineering, electronic engineering, information engineering, SWOT matrix, web crawler, Information technology, 02 engineering and technology, T58.5-58.64, Web crawler
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Zdroj: Journal of Mathematical Analysis and Applications. 264:324-343
Predmety: (improper) fuzzy Riemann integrals, convergence, strong law of large numbers, Fuzzy measure theory, Applied Mathematics, Fuzzy real analysis, mathematical programming problems, Monte Carlo methods, fuzzy numbers, 02 engineering and technology, Numerical quadrature and cubature formulas, Monte Carlo method, 0202 electrical engineering, electronic engineering, information engineering, Analysis, fuzzy Riemann integral
Popis súboru: application/xml; 104 bytes; text/html
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