|
1. Lynn (2017)。雲端運算是什麼?Amazon、Google、Microsoft 等大廠爭相佈局,會如何改變人類生活?。硬塞科技字典 (INSIDE)。取自 https://www.inside.com.tw/2017/06/27/cloud-computing 2. 丁昱文 (2012)。以計畫行為理論探討國小學生參與運動代表隊之行為意圖—以獎勵制度為干擾變項。大葉大學管理學院碩士在職專班運動事業管理所碩士論文,彰化縣。取自 https://hdl.handle.net/11296/v9dve9 3. 王貞驊 (2010)。雲端運算是什麼?淺談雲端更上手。電子商務時報。取自 http://www.ectimes.org.tw/Shownews.aspx?id=101205204540 4. 王筱雯 (2015)。教育訓練與獎勵制度之連結對非財務績效影響之研究—以機電管理服務業個案公司為例。國立彰化師範大學企業管理學系國際企業經營管理 (IMBA) 碩士論文,彰化縣。取自 https://hdl.handle.net/11296/6bk478 5. 王餘厚,人事名詞釋義,人事叢書編輯委員會,一成印刷有限公司,台北縣,民國八十二年。 6. 王耀聰 (2010)。了解基本來龍去脈—淺談雲端運算新趨勢與 Hadoop 平台之崛起」。取自 http://www.netadmin.com.tw/article_content.aspx?sn=1006210016 7. 王麗娟 (2012)。雲端顧客關係管理之效益認定與實現模式研究。國立雲林科技大學資訊管理系博士班博士論文,雲林縣。取自 https://hdl.handle.net/11296/v7p6sf 8. 史懷哲 (1997)。績效獎金制度與醫院非醫師員工工作表現及滿意度關係之研究-以台北某教會醫院為例。國立臺灣大學醫療機構管理研究所碩士論文,台北市。取自 https://hdl.handle.net/11296/q3pcyx 9. 江明烜 (2012)。台灣中小企業雲端顧客關係管理雲端運用。淡江大學企業管理學系碩士班碩士論文,新北市。取自 https://hdl.handle.net/11296/abz87m 10. 江俊彥 (2012)。雲端服務在顧客關係管理之應用—以台灣綠色產品為例。大葉大學企業管理學系碩士班碩士論文,彰化縣。取自 https://hdl.handle.net/11296/3n4qmh 11. 行政院,雲端運算應用與產業發展方案,行政院科技會報,台北市,民國一0一年。 12. 行政院主計總處 (2016)。中華民國行業標準分類。取自 https://www.dgbas.gov.tw/ct.asp?xItem=38933&ctNode=3111&mp=1 13. 安迅資訊系統公司 (NCR),「客戶導向時代的企業智慧腦」,資訊與電腦,3,民國八十九年。 14. 吳其勳 (2008)。這是一朵好雲嗎?。iThome 電腦報。取自 https://www.ithome.com.tw/node/49411 15. 吳其勳 (2017)。從雲端四強全球大會看趨勢。iThome (2017.04.08)。取自 https://www.ithome.com.tw/voice/113297 16. 吳秉恩,策略性人力資源管理:理念運作與實務,中華經濟企業研究所,台北市,民國八十年。 17. 吳昇祐 (2010)。專案社會資本對專案知識流之影響—以組織層級專案獎勵制度與專案團隊層級團隊效能為調節變項。國立高雄師範大學人力與知識管理研究所碩士論文,高雄市。取自 https://hdl.handle.net/11296/mhb386 18. 吳明隆和涂金堂,SPSS 與統計應用分析,五南圖書出版有限公司,台北市,民國九十八年。 19. 吳靜芬 (2010)。以科技接受模式探討企業資源規劃 (ERP) 系統績效。世新大學資訊管理學研究所(含碩專班)碩士論文,台北市。取自 https://hdl.handle.net/11296/vb8p2g 20. 吴孔煜 (2018)。2018 年雲端發展趨勢。取自 www.google.com.tw/amp/s/unwire.pro/2018/03/18/2018-cloud-development-trend/news/amp/ 21. 李吉立 (2009)。組織氣候、獎勵制度、領導型態與工作績效之關係—以海運承攬運送業為例。國立臺灣海洋大學航運管理學系碩士論文,基隆市。取自 https://hdl.handle.net/11296/6qyuk4 22. 李明達 (2018)。淺談雲端科技。台肥季刊。取自 http://www.taifer.com.tw/taifer/tf/053002/46.html 23. 林威宇 (2000)。醫院醫療事務部門實施績效獎金制度前後,對其員工認知、態度及工作滿意改變之相關研究。國立臺灣大學醫療機構管理研究所碩士論文,台北市。取自 https://hdl.handle.net/11296/yxk52b 24. 林姿華 (2008)。全世界漫步在雲端—淺談科技新知識「雲端運算」。取自 http://www.nhu.edu.tw/~society/e-j/86/13.htm 25. 周祝瑛和劉豫敏,「雲端教育」,教育研究月刊,216,125-38 頁,民國一0一年。 26. 洪曉渝 (2018)。顧客關係管理導入雲端服務平台 Vital CRM 之研究—有機農產品為例。萬能科技大學資訊管理研究所在職專班碩士論文,桃園市。取自 https://hdl.handle.net/11296/n976jc 27. 姜怡如譯,「1999 年度台灣業者之顧客關係管理應用現狀調查(Brian Spengler著)」,電子化企業:經理人報告,3,9-15 頁,民國八十八年。 28. 徐郁雯 (2014)。雲端異質系統資訊交換之研究—以顧客關係管理與谷客 Cocker 雲端網站管理器整合為例。國立高雄第一科技大學資通訊服務創新產業碩士專班碩士論文,高雄市。取自 https://hdl.handle.net/11296/8282vc 29. 徐浩宸 (2007)。以科技接受模式探討基金網路交易系統使用意願之影響因素。銘傳大學管理學院高階經理碩士學程碩士論文,台北市。取自 https://hdl.handle.net/11296/8j5knu 30. 徐偉乾 (2014)。以期望確認理論、先驗知識探討中小企業導入雲端應用服務之顧客關係管理系統之研究以 Videgree 為例。萬能科技大學資訊管理研究所在職專班碩士論文,桃園市。取自 https://hdl.handle.net/11296/4ee4hr 31. 翁少白 (2006)。即時數位整合交通系統接受度調查研究。國立中山大學傳播管理研究所碩士論文,高雄市。取自 https://hdl.handle.net/11296/8x5zrh 32. 財團法人資訊工業策進會 (2011)。雲端運算課程主題館。取自 http://www.iiiedu.org.tw/ites/Cloud.htm 33. 陳文華,「應用資料倉儲系統建立 CRM」,資訊與電腦,226,122-27 頁,民國八十八年。 34. 陳文華,「運用資料倉儲技術於客戶關係管理」,能力雜誌,527,132-38 頁,民國八十九年。 35. 陳育亮和鄭淑慧,「網路教學與社群學習在成人教育的應用-以混成式網路學習探討其行為意向」,資訊管理學報,17 (1),177-96 頁,民國九十九年。 36. 陳彥勳 (2009)。以科技接受模型探討影響企業員工使用數位學習系統之研究。國立中央大學企業管理研究所碩士論文,桃園市。取自 https://hdl.handle.net/11296/vhqr43 37. 陳海鳴,管理學概論,華泰書局,台北市,民國八十四年。 38. 陳順宇,多變量分析,華泰書局,台北市,民國九十三年。 39. 陳瀅、王慶波、金涬、趙陽、何樂、鄒志樂、吳玉會、楊林,雲端策略,天下文化出版社,台北市,民國九十九年。 40. 許士軍,管理學,東華書局,台北市,民國七十七年。 41. 許文楷、黃秀慧和陳榮芳,「企業員工對新導入資訊科技之學習態度研究—以 ERP 系統之使用者為例」,教育心理學報,38 (1),19-36 頁,民國九十五年。 42. 郭崑謨、吳智、池進通、梁世安、黃營杉、王永正和詹毓玲,管理學,國立空中大學,台北市,民國八十四年。 43. 許雅棣 (2001)。主管領導型態、員工人格特質、組織激勵制度與員工工作績效之相關性—以保險業務員為例。國立東華大學企業管理學系碩士論文,花蓮縣。取自 https://hdl.handle.net/11296/7r63bt 44. 梁定澎,資訊管理理論,前程出版社,台北市,民國一0一年。 45. 黃美子 (2001)。台、菲、泰基層員工之激勵制度對工作投入之影響研究。中國文化大學國際企業管理研究所碩士論文,台北市。取自https://hdl.handle.net/11296/r286q9 46. 黃美芳,淺談雲端運算技術,新北市政府 101 年度自行研究報告,新北市,民國一0一年。 47. 黃重憲 (2009)。淺談雲端運算 (Cloud Computing)。國立台灣大學計算機與資訊網路中心電子報,第 0008 期 (2009.03.20)。取自 http://www.cc.ntu.edu.tw/chinese/epaper/0008/20090320_8008.htm 48. 黃彥智和李振宇,「激勵專案團隊創新:獎酬與團隊學習導向在新產品開發的角色」,科技管理學刊,22 (4),57-86 頁,民國一0六年。 49. 黃泰彬 (2011)。運用科技接受模式探討企業資源規劃系統導入成效之研究-以某資訊科技公司為例。龍華科技大學商學與管理研究所碩士論文,桃園市。取自 https://hdl.handle.net/11296/eyz2f4 50. 黃淑芬 (2016)。外商銀行獎勵制度對理財人員工作績效的影響。大葉大學人力資源暨公共關係學系碩士論文,彰化縣。取自 https://hdl.handle.net/11296/f66x47 51. 黃朝鎮 (2013)。我國警察人員獎勵制度公平性之研究。中央警察大學警察政策研究所碩士論文,桃園市。取自 https://hdl.handle.net/11296/4353qd 52. 黃霈蓁 (2012)。獎勵制度對派遣員工使用派遣公司人資系統意願之影響。輔仁大學資訊管理學系碩士論文,新北市。取自 https://hdl.handle.net/11296/p79p8u 53. 黃瀚平 (2016)。以本體論為基礎建構工業 4.0 結合雲端製造之架構。逢甲大學工業工程與系統管理學系碩士論文,台中市。取自 https://hdl.handle.net/11296/kduz93 54. 曾瑞譙,「電腦輔助教學軟體使用後之效益分析—科技接受模式的觀點與應用」,新竹教育大學教育學報,26 (2),127-63 頁,民國九十八年。 55. 湯志民,「雲端科技與未來教室」,教育研究月刊,216,40-56 頁,民國一0一年。 56. 彭秀琴和張念慈,雲端運算下資訊安全之探討,經建會管制考核處技術手冊,台北市,民國九十九年。 57. 楊敦質 (2007)。以科技接受模型分析數位有線電視之使用者採用行為。國立中山大學傳播管理研究所碩士論文,高雄市。取自 https://hdl.handle.net/11296/6yh77g 58. 董丁魁 (2011)。顧客關係管理雲端服務導入模式之研究。國立雲林科技大學資訊管理系碩士班碩士論文,雲林縣。取自 https://hdl.handle.net/11296/5yqmtj 59. 雷萬雲,直達雲端運算的核心:SaaS、IaaS、PaaS 的營運教戰手冊,佳魁資訊出版社,台北市,民國一00年。 60. 經濟部工業局,從 Industry 4.0 看臺灣生產力推升的契機,經濟部工業局,台北市,民國一0三年。 61. 經濟部中小企業處 (2015)。中小企業認定標準。取自 https://www.moeasmea.gov.tw/ct.asp?xItem=672&ctNode=214 62. 經濟部統計處 (2018)。工廠名錄。取自 https://dmz9.moea.gov.tw/gmweb/investigate/InvestigateFactory.aspx 63. 遠擎管理顧問公司 (ARC),「整合策略、科技、流程執行顧客關係管理」,電子化企業:經理人報告,ARC 遠擎管理顧問公司企業智慧部,民國八十八年。 64. 劉永堯 (2010)。以科技接受模式探討電腦稽核軟體之應用—連續性研究。國立中正大學會計與資訊科技研究所碩士論文,嘉義縣。取自 https://hdl.handle.net/11296/87h6us 65. 劉威麟 (2008)。雲端運算(雲計算)已經講到爛?Gartner 建議從二分法重新學起。取自 http://mr6.cc/?p=2281 66. 蔡文麟 (2016)。樂高教育系統補習班導入雲端顧客關係管理系統 VIdegree 之成效研究。萬能科技大學資訊管理研究所在職專班碩士論文,桃園市。取自 https://hdl.handle.net/11296/68rwpt 67. 鄭素鈴 (2000)。文化特徵、獎酬制度及其成效關係之研究—以台灣地區美商、日商、台商企業行銷部門為例。淡江大學會計學系碩士論文,新北市。取自 https://hdl.handle.net/11296/4xu3xj 68. 賴信榮,「員工激勵誘因」,產業金融季刊,92,87-95 頁,民國八十五年。 69. 賴崇閔、黃秀美、廖述盛和黃雯雯,「3D 虛擬實境應用於醫學教育接受度之研究」,教育心理學報,40 (3),341-361 頁,民國九十八年。 70. 賴國聲 (2018)。以延伸整合型科技接受模式探討手機遊戲持續使用意圖—以部落衝突為例。輔仁大學大眾傳播學研究所碩士論文,新北市。取自 https://hdl.handle.net/11296/r4yw97 71. 賴燊標 (2007)。自助服務技術 (SSTs) 使用者接受度之研究—以航空公司報到自助服務櫃台為例。國立台灣科技大學企業管理系碩士論文,台北市。取自 https://hdl.handle.net/11296/5mb879 72. 盧坤利 (2000)。台灣地區企業採用客戶關係管理系統之影響因素研究。國立台灣大學商學研究所碩士論文,台北市。取自 https://hdl.handle.net/11296/g8b2k6 73. 謝安田,人事管理,華泰書局,台北市,民國七十五年。 74. 謝依蓉 (2010)。評估獎勵制度與參與度在 E-Learning 2.0 學習成效之影響。國立成功大學資訊管理研究所碩士論文,台南市。取自 https://hdl.handle.net/11296/2zy2bn 75. 藍凱柔 (2017)。2017 企業必須掌握 6 大議題:AI、雲端平台、區塊鏈是關鍵。科技報橘 (TechOrange) (2017.01.26)。取自 https://buzzorange.com/techorange/2017/01/26/2017-technologies-trends/ 76. 61. 蘇雲龍 (2013)。以電話號碼為基礎之雲端顧客關係管理系統之開發。國立虎尾科技大學資訊管理研究所在職專班碩士論文,雲林縣。取自https://hdl.handle.net/11296/7gsbta 77. Abdalla, I., “Evaluating Effectiveness of e-Blackboard System Using TAM Framework: A Structural Analysis Approach,” AACE Journal, 15 (3), pp. 279-87. 2007. 78. Abrantt, R. & M. Smythe, “A Survey of Sales Incentive Programs,” Industrial Marketing Management, 18 (2), pp. 209-14. 1989. 79. Adams, D. A., R. R. Nelson, & P. A. Todd, “Perceived Usefulness, Ease of Use and Usage of Information Technology: A Replication,” MIS Quarterly, 16 (2), pp. 227-47. 1992. 80. Adams, J. S., “Toward an Understanding of Inequity,” Journal of Abnormal and Social Psychology, 67, pp. 422-36. 1963. 81. Agarwal, N. C., “Reward Systems: Emerging Trends and Issues,” Canadian Psychology, 39 (1/2), p. 60. 1998. 82. Ajzen, I., From Intentions to Actions: A Theory of Planned Behavior, In J. Kuhl & J. Beckman (Eds.), Action-Control: from Cognition to Behavior, Heidelberg: Springer. 1985. 83. Ajzen, I., “The Theory of Planned Behavior,” Organizational Behavior and Human Decision Processes, 50 (2), pp. 179-211. 1991. 84. Ajzen, I., “Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives,” Personality and Social Psychology Review, 6 (2), pp. 107-22. 2002. 85. Ajzen, I. & M. Fishbein, Understanding Attitudes and Predicting Social Behavior, New Jersey: Prentice-Hall. 1980. 86. Ajzen, I. (2006). Constructing a Theory of Planned Behavior Questionnaire. Retrieved from http://people.umass.edu/aizen/pdf/tpb.measurement.pdf 87. Bagozzi, R. P., F. Davis, & P. R. Warshaw, “Development and Test of a Theory of Technological Learning and Usage,” Human Relations, 45 (7), pp. 659-82. 1992. 88. Berelson, B. & G. A. Steiner, Human Behavior: An Inventory of Scientific Findings, Oxford, England: Harcourt, Brace & World. 1964. 89. Bhatia, A., Customer Relationship Management, Toolbox Portal for CRM, 1st ed, Mandeep Khera. 1999. 90. Boulter, D., “Simplify Your Journey to the Cloud,” Capgemini and SOGETI, 1-8. 2010. 91. Carvell, M. R. & Kuzmits F. E., Personal Management of Human Resource, Bell & Howell. 1982. 92. Chablo, “Engaging the Consumer through Event Marketing: Linking Attendees with the Sponsor, Community, and Brand,” Journal of Advertising Research, 46 (4), pp. 420-33. 2001. 93. Chung, D. & C. S. Nam, “An Analysis of the Variables Predicting Instant Messenger User,” New Media & Society, 9 (2), pp. 212-34. 2007. 94. Churchill, G. A., N. M. Ford, S. W. Hartely, & O. C.Walker, “Determinants of Salesperson Performance: AMeta-Analysis,” Journal of Marketing Research, 22 (5), pp. 103-18. 1985. 95. Davis, F. D., A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology. 1986. 96. Davis, F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, 13 (3), pp. 319-40. 1989. 97. Davis, F. D., R. P. Bagozzi, & P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, 35 (8), pp. 982-1002. 1989. 98. Davis, F. D., R. P. Bagozzi, & P. R. Warshaw, “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,” Journal of Applied Social Psychology, 22 (14), pp. 1111-32. 1992. 99. Davids, M., “How to Avoid the 10 Biggest Mistakes in CRM”, Journal of Business Strategy, 11, pp. 22-6. 1999. 100. Dessler, G., Human Resource Management, Englewood: Prevince Hall International, Inc. 1992. 101. Dessler, G., Human Resource Management (10th ed.), New Jersey: Prentice Hall. 2004. 102. Dolk, D. R., “Integrated Model Management in the Data Warehouse Era,” European Journal of Operational Research, 122, pp. 199-218, 2000. 103. Edward, E., “Creating High Performance Organizations,” Asia Pacific Journal of Human Resources, pp. 55-71. 2005. 104. Elwood, W. N., K. Greene, & K. K. Carter, “Gentlemen don’t Speak: Communication Norms and Condom Use in Bathhouses,” Journal of Applied Communication Research, 31 (4), pp. 277-97. 2003. 105. Fishbein, M. & I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley. 1975. 106. Fornell, C. & D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, 18 (1), pp. 39-50. 1981. 107. Gartner (2008). Gartner Says Cloud Computing Will Be As Influential As E-business: Special Report Examines the Realities and Risks of Cloud Computing. Retrieved from http://www.gartner.com/newsroom/id/707508 108. Gartner (2009). Gartner Highlights Five Attributes of Cloud Computing. Retrieved from https://www.gartner.com/newsroom/id/1035013 109. Gefen, D., “What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness,” Journal of Management Information Systems, 21 (1), pp. 263-88. 2004. 110. Gellerman, S., Motivation and Productivity (3rd ed.), New York: American Management Association. 1963. 111. Gibson, J. L., J. M. Ivancevich, & J. H. Donnelly, Organizations: Behavior, Structure, Processes, Business Publications. 1976. 112. Greenberg, J. & M. Liebman, “Incentives: The Missing Link in Strategic Performance,” Journal of Business Strategy, 11 (4), pp. 8-11. 1990. 113. Hair, Jr. F., R. E. Anderson, R. L. Tatham, & W. C. Black, Multivariate Data Analysis, 5th ed, New York: Macmillan. 1998. 114. Hale, J. L., B. J. Householder, & K. Greene, Theory of Reasoned Action, In J. P. Dillard & M. Pfau (Eds.), The Persuasion Handbook: Developments in Theory and Practice, Thousand Oaks, CA: Sage. 2002. 115. Hartwick, J. & H. Barki, “Explaining the Role of User Participation in Information System Use,” Management Science, 40 (4), pp. 440-65. 1994. 116. Herzberg, F., B. Mausner, & B. Snyderman, The Motivation to Work, New York: John Willey & Sons Inc. 1959. 117. Hu, P. J., P. Y. K. Chau, O. R. Liu, & K. Y. Tam, “Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology,” Journal of Management Information Systems, 16 (2), pp. 91-112. 1999. 118. Hung, S. Y., C. Y. Ku, & C. M. Chang, “Critical Factors of WAP Services Adoption: An Empirical Study,” Electronic Commerce Research and Applications, 2 (1), pp. 42-60. 2003. 119. Igbaria, M., N. Zinatelli, P. Cragg, & A. Cavaye, “Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model,” MIS Quarterly, 21 (3), pp. 279-302. 1997. 120. Ivancevich, J. M. & M. T. Matteson, Stress and Work: A Managerial Perspective, New York: Scott Foresman Glenview Illinois. 1980. 121. Johnston, M., J. Boles, & J. Hair, “Motivation and Supervision of the Sales Force,” Working Paper, 87 (3). 1987. 122. Kalakota, R. & M. Robinson, e-Business: Roadmap for Success, New York: Addison-Wesley. 1999. 123. Kast, F. E., Organization and Management: A System and Contingency Approach, New York: McGraw-Hill. 1979. 124. Kelly, J., Organization Behavior, 2nd ed., Homewood Ⅲ: Richard D. Irwin. 1974. 125. Koch, R, The 80/20 Principle: The Secret of Achieving More with Less, New York: Knopf Doubleday Publishing Group. 1998. 126. Kotler, P. & G. Armstrong, Principles of Marketing (8th ed). 1998. 127. Kotler, P., K. L. Keller, S. H. Ang, S. M. Leong & T. C. Tan, Marketing Management: An Asian Perspective (4th ed.), New York: Pearson/Prentice Hall. 2006. 128. Lee, M., “Explaining and Predicting Users' Continuance Intention toward e-Learning: An Extension of the Expectation-Confirmation Model,” Computers & Education, 54 (2), pp. 506-16. 2010. 129. Malhotra, N. K., Marketing Research, Library of Congress Cataloging. 1993. 130. Martinez-Torres, M. R., S. L. Marin Toral, & F. Barrero Garcia, “A Technological Acceptance of E-Learning Tools Used in Practical and Laboratory Teaching, According to the European Higher Education Area,” Behaviour & Information Technology, 27 (6), pp. 495-505. 2008. 131. MaShane, S. L. & M. A. V. Glinow, Organizational Behavior, New York: MyGraw-Hill, Inc. 2001. 132. Maslow, A. H., Motivation and Personality, New York: Harper and Row. 1954. 133. McComb, S. A., “Project Team Effectiveness: the Case for Sufficient Setup and Top Management Involvement,” Production Planning & Control, 19 (4), pp. 301-11. 2008. 134. Mell, P., & T. Grance, Effectively and Securely Using the Cloud Computing Paradigm, National Institute of Standards and Technology. 2009a. 135. Mell, P., & T. Grance, “The NIST Definition of Cloud Computing,” National Institute of Standards and Technology, 53 (6), p. 50. 2009b. 136. Mell, P. & T. Grance, The NIST Definition of Cloud Computing, National Institute of Standards and Technology Special Publication (NIST), SP 800-145. 2011. 137. Mell, P. & T. Grance, The NIST Definition of Cloud Computing, National Institute of Standards and Technology Special Publication (NIST), SP 800-146. 2012. 138. Moore, G. C., & I. Benbasat, “Development of An Instrument to Measure the Perceptions of Adopting An Information Technology Innovation,” Information Systems Research, 2 (3), pp. 192-222. 1991. 139. Notani, A. S., “Moderators of Perceived Behavioral Control’s Predictiveness in the Theory of Planned Behavior: A Meta-Analysis,” Journal of Consumer Psychology, 7 (3), pp. 247-71. 1998. 140. Nunnally, J. C., Psychometric Theory, New York: McGraw-Hill. 1987. 141. Nunnally, J. C. & I. H. Bernstein, Psychometric Theory (3rd ed.), New York: McGraw-Hill. 1994. 142. Okazaki, S., R. Skapa, & I. Grande, “Capturing Global Youth: Mobile Gaming in the U.S., Spain, and the Czech Republic,” Journal of Computer-Mediated Communication, 13 (4), pp. 827-55. 2008. 143. O’Neal, S., “The Phenomenon of Total Rewards,” ACA Journal, 7 (3), 6. 1998. 144. Ott, J., “Successfully Development and Implementing Continuous Relationship Management”, e-Business Executive Report, 3, pp. 26-30. 2000. 145. Pedersen, P. E. “Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters,” Journal of Organizational Computing and Electronic Commerce, 15 (2), pp. 203-22. 2005, 146. Peppers, D. & M. Rogers, The One to One Future: Building Relationships One Customer at A Time, Sagalyn Literary Agency. 1993. 147. Peppers, D., M. Rogers, & B. Dorf, “Is Your Company Ready for One-to-One Marketing?,” Harvard Business Review, Jan./Feb., pp. 151-60. 1999. 148. Pivotal Co., Electronic Business Relationship Management, Pivotal Co. Business Report. 1999. 149. Rainey, H. G., Understanding and Managing Public Organizations (5th ed.), Jossey-Bass. 2014. 150. Raymond, A. K. & E. T. Donna, “An Integrative Model of Work Attitudes, Motivation, and Performance,” Human Performance, 3 (2), pp. 63-85. 1990. 151. Robbins, S. P., Personnel: the Management of Human Resource, New Jersey: Prentice-Hall Inc. 1982. 152. Robbins, S. P., Management: Concepts and Practices, Prentice Hall. 1983. 153. Robbins, S. P., Management (4th ed.), Englewood Cliffs, New Jersey: Prentice Hall. 1993. 154. Robbins, S. P., Organizational Behavior, Englewood Cliff, New Jersey: Prentice-Hall Inc. 1994. 155. Robbins, S. P., Organizational Behavior, New Jersey: Prentice-Hall. 2002. 156. Rue, L.W. &, L. L. Byars, Management Skills and Application (6th ed.), New Jersey: Prentice-Hall International. 1992. 157. Scott-Young, C. & D. Samson, “Project Success and Project Team Management: Evidence from Capital Projects in the Process Industries,” Journal of Operations Management, 26, pp. 749-66. 2008. 158. Skinner, B. F., Contingencies of Reinforcement: A Theoretical Analysis, Englewood Cliffs, New Jersey: Prentice Hall Inc. 1969. 159. Skinner, B. F., Beyond Freedom and Dignity, New York: Alfred A. Knopf Inc. 1971. 160. Sarah, H. & V. Tricia, “Determining the Impact of an Organization’s Performance Management System,” Asia Pacific Journal of Human Resources, 43 (1), pp. 76-97. 2005. 161. Steers, R. M., Introduction to Organizational Behavior (4th ed.), New York: Harper Collins Publishers Inc. 1994. 162. Stone, M. & N. Woodcock, Relationship Marketing, London: Kogan Page. 1995. 163. Stone, M., N. Woodcock, & M. Wilson, “Managing the Change from Marketing Planning to Customer Relationship Management”, Long Range Planning, 29 (5), pp. 675-83. 1996. 164. Strader, M. K., & B. M. Katz, “Effects of Persuasive Communication on Beliefs, Attitudes, and Career Choice,” The Journal of Social Psychology, 130 (2), pp. 141-50. 1990. 165. Subashini, S., & V. Kavitha, “A Survey on Security Issues in Services Issues,” Future Generation Computer Systems, 28, pp. 583-92. 2012. 166. Swift, R., Accelerating Customer Relationships, Prentice Hall. 2001. 167. Teo, T., “Examining the Influence of Subjective Norm and Facilitating Conditions on the Intention to Use Technology among Pre-Service Teachers: A Structural Equation Modeling of an Extended Technology Acceptance Model,” Asia Pacific Education Review, 11 (2), pp. 253-62. 2010. 168. Urbanski, A., “Incentives Get Specific,” Sales and Marketing Management, 9, pp. 98-102. 1986. 169. Venkatesh, V. & F. D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, 46 (2), p. 186. 2000. 170. Venkatesh, V., M. G. Morris, G. B. Davis, & F. D. Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27 (3), pp. 425-78. 2003. 171. Vroom, V., Work and Motivation, New York: John Wiley & Sons. 1964. 172. Waldrop, H., “The Rewards of Non-Cash Incentives,” Sales and Marketing Management, April, pp. 110-12. 1987. 173. Wang, Y. S., H. H. Lin, & P. Luarn, “Predicting Consumer Intention to Use Mobile Service,” Information Systems Journal, 16 (2), pp. 157-79. 2006. 174. Wikipedia (2018). Cloud Computing. Retrieved from https://en.wikipedia.org/wiki/Cloud_computing 175. Zhou, Y., “Voluntary Adopters Versus Forced Adopters: Integrating the Diffusion of Innovation Theory and the Technology Acceptance Model to Study Intra-Organization Adoption,” New Media & Society, 10 (3), pp. 475-96. 2008.
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