博碩士論文 etd-0810114-012910 詳細資訊

[回到前頁查詢結果 | 重新搜尋]

姓名 潘民偉(Min-Wei Pan) 電子郵件信箱 E-mail 資料不公開
畢業系所 資訊管理學系研究所(Information Management)
畢業學位 碩士(Master) 畢業時期 102學年第2學期
論文名稱(中) 整合規範焦點與人口遷移理論
論文名稱(英) Using Regulatory Focus Theory and Push-Pull-Mooring Model
to Explore Users’ Switching Intention on Smartphone Platforms
  • etd-0810114-012910.pdf
  • 本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。

    紙本論文:2 年後公開 (2016-09-10 公開)

    電子論文:使用者自訂權限:校內 2 年後、校外 2 年後公開

    論文語文/頁數 英文/158
    統計 本論文已被瀏覽 5358 次,被下載 3280 次
    摘要(中) 智慧型手機已經變成了現代人日常生活中不可或缺的一部分,而許多與智慧型手機相關的議題也在近幾年中被廣泛討論與研究,像是智慧型手機成癮、隱私與安全、以及轉換行為等等。此外,使用者的心理態度與傾向,也是影響消費者行為的一個重要因素,但在先前與資訊產品或服務相關的研究中,卻很少討論到這個部分。而本研究結合了人口遷移理論中的Push-Pull-Mooring (PPM) Model與廣泛應用在各領域的調節焦點理論(Regulatory Focus Theory)來探討使用者於智慧型手機上的轉換行為。
    本研究透過調節焦點理論,將使用者分成比較正向思考、勇於承擔風險(促進焦點,Promotion Focus)、以及負面思考、較為風險趨避(預防焦點,Prevention Focus)的兩種心理特質,並探討這兩種不同的心理特質對於PPM Model中的推力(Push Effect)、拉力(Pull Effect)、以及繫留力(Mooring Effect)分別有什麼樣的調節效果。除了能結合心理層面這個在使用者行為上很重要、卻一直被大家所忽略的影響因素,來補齊相關理論與研究上的缺陷外,也能在實務上為使用者在資訊產品上的轉換行為,提供另一個不同的觀點。
    本研究使用實證研究方式,於台灣共收集了682份來自使用者自行填寫的有效樣本來驗證本研究所提出的假說。研究結果指出促進焦點(Promotion Focus)的智慧型手機使用者,對於替代產品的拉力(Pull Effect)與轉換意圖間的關係有更顯著的影響;而預防焦點(Prevnetion Focus)的智慧型手機使用者,則對於現有產品的推力(Push Effect)與轉換意圖間的關係有顯著影響。研究成果除了支持我們一開始提出的研究假說,也在使用者對於資訊產品的轉換意圖上,提供了學術界與實務界另一個全新的認知。
    摘要(英) Nowadays, smartphones are used in more and more scenarios, and become a necessary part of our daily life. Hence, smartphones and other related issues have been widely discussed, such as smartphone addiction, privacy and security, and switching behavior. Furthermore, user’s attitude and psychological traits are also crucial factors in consumer’s behavior, but these parts are less discussed in previous literature of IT products and services. As a result, this research purpose is to explore users’ switching intention on smartphone platforms through Push-Pull-Mooring Model and Regulatory Focus Theory.
    There are three factors – push effect, pull effect, and mooring effect, which influencing the switching intention in the Push-Pull-Mooring Model, and two different tendencies of psychological states in Regulatory Focus Theory – promotion focus, and prevention focus. So the researcher would like to know whether different influences of push, pull, and mooring effects on different users with either promotion or prevention focus on smartphones.
    The researcher collected 682 valid samples in Taiwan for examining the hypotheses in this study. The analyses indicate that there is significant relation between pull effect and switching intention on promotion smartphone users, and significant relation between push effect and switching intention on prevention smartphone users. The re-sults of this research not only support the hypotheses we proposed, but also provide a novel perspective on IT product switching in both theoretical and practical.
  • 調節焦點理論
  • 人口遷移理論
  • 消費者行為
  • 智慧型手機
  • 轉換意圖
  • 轉換行為
  • 關鍵字(英)
  • Push-Pull-Mooring Model
  • Consumer Behavior
  • Switching Intention
  • Switching Behavior
  • Smartphones
  • Regulatory Focus Theory
  • 論文目次 Chapter 1 Introduction ……………………………………………... 1
    Chapter 2 Theoretical Background and Hypotheses ……………... 7
     2.1. The Development and Status of the Smartphone Market ………………… 7
     2.2. Switching as Migration ….……………………………………………….. 13
      2.2.1. Push-Pull-Mooring Model ………………………………………….. 18
      2.2.2. Push Effect ………………………………………………………….. 27
      2.2.3. Pull Effect ………………………………………………………..…. 33
      2.2.4. Mooring Effect …………………………………………………...… 36
     2.3. Regulatory Focus Theory ………………………………………………... 41
      2.3.1. Promotion Focus …………………………………………………… 46
      2.3.2. Prevention Focus …………………………………………………… 47
     2.4. Conceptual Research Model …………………………………………….. 48
    Chapter 3 Research Methodology ………………………………… 50
     3.1. Measurement Development ……………………………………………... 50
     3.2. Pilot Test ………………………………………………………………… 57
     3.3. Participants and Procedure ……………………………………………… 57
    Chapter 4 Results and Analysis …………………………………… 64
     4.1. Statistical Method ……………………………………………………….. 64
     4.2. Cross Factor Loading ……………………………………………………. 64
     4.3. Reliability and Validity ………………………………………………….. 66
     4.4. Common Method Variance ……………………………………………… 73
     4.5. Testing of Structural Model and Hypotheses …………………………… 78
    Chapter 5 Discussions …………………….……………………….. 83
    Chapter 6 Conclusions and Implications ………………………… 86
     6.1. Conclusuion …………………………………………………………….. 86
     6.2. Implications for Theory and Research ………………………………….. 87
     6.3. Implications for Practices ………………………………………………. 88
     6.4. Limitations and Suggestions for Future Research ……………………… 89
    Reference …………………………………………………………….. 92
    Appendix …………………………………………………………….. 137
     A. Qusstionnaire …………………………………………………………… 137
     B. Pilot Questionnaire ……………………………………………………... 145
    參考文獻 Aaker, J. L., & Lee, A. Y. (2001). "I" seek pleasures and "We" avoid pains: The role of self-regulatory goals in information processing and persuasion. Journal of Con-sumer Research, 28, 33–49. doi:10.1086/321946
    Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215. doi: 10.1287/isre.9.2.204
    Ahn, J., & Han, R. (2012). An indoor augmented-reality evacuation system for the smartphone using personalized pedometry. Human-centric Computing Infor-mation Science, 2(1), 18. doi: 10.1186/2192-1962-2-18
    Ahn, T., Ryu S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263–275. doi: 10.1016/j.im.2006.12.008
    Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior (Pbk. Ed.). Englewood Cliffs, N.J.: Prentice-Hall.
    Allam, S., Flowerday, S. V., & Flowerday, E. (2014). Smartphone information security awareness: A victim of operational pressures. Computers & Security, 42, 56–65. doi: 10.1016/j.cose.2014.01.005
    Amodio, D. M., Shah, J. Y., Sigelman, J., Brazy, P. C., & Harmon-Jones, E. (2004). Im-plicit regulatory focus associated with asymmetrical frontal cortical activity. Journal of Experimental Social Psychology, 40(2), 225–232. doi: 10.1016/S0022-1031(03)00100-8
    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.
    Anderson, E. W. & Sullivan, M. W. (1993). The antecedents and consequences of cus-tomer satisfaction for firms. Marketing Science, 12(2), 125–143. doi: 10.1287/mksc.12.2.125
    Andrews, L., Drennan, J., & Russell-Bennett, R. (2012). Linking perceived value of mobile marketing with the experiential consumption of mobile phones. European Journal of Marketing, 46(3/4), 357–386. doi: 10.1108/03090561211202512
    Antón, C., Camarero, C., & Carrero, M. (2007). Analysing firms' failures as determi-nants of consumer switching intentions: The effect of moderating factors. Euro-pean Journal of Marketing, 41(1/2), 135–158. doi: 10.1108/03090560710718157
    Appelt, K. C., Zou, X., Arora, P., & Higgins, E. T. (2009). Regulatory fit in negotiation: effects of “prevention-buyer” and “promotion-seller” fit. Social Cognition, 27(3), 365–384. doi: 10.1521/soco.2009.27.3.365
    Arkes, H. R., & Ayton, P. (1999). The sunk cost and concorde effects: Are humans less rational than lower animals?. Psychological Bulletin, 125(5), 591–600. doi: 10.1037/0033-2909.125.5.591
    Avolio, B. J., Waldman, D. A., & Yammarino, F. J. (1991). Leading in the 1990s: the four I's of transformational leadership, Journal of European Industrial Training, 15(4), 9–16. doi: 10.1108/03090599110143366
    Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The links that bind: Uncovering novel motivations for linking on Facebook. Computers in Human Behavior, 27(6), 2243–2248. doi: 10.1016/j.chb.2011.07.003
    Balakrishnan, V., & Raj, R. G. (2012). Exploring the relationship between urbanized Malaysian youth and their mobile phones: A quantitative approach. Telematics & Informatics, 29(3), 263–272. doi: 10.1016/j.tele.2011.11.001
    Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implica-tions of m-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348–361. doi: 10.1177/009207002236910
    Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. N.J.: Prentice Hall.
    Bansal, H. S., & Taylor, S. F. (1999a). Beyond service quality and customer satisfaction: Investigating additional antecedents of service-provider switching intentions. In Developments in Marketing Science, vol. 22, Ed. Charles H. Noble. Coral Gables, FL: Academy of Marketing Science, 75–82.
    Bansal, H. S., & Taylor, S. F. (1999b). The service-provider switching model (SPSM): A model of consumer switching behavior in the services industry. Journal of Ser-vice Research, 2(2), 200–218. doi: 10.1177/109467059922007
    Bansal, H. S., Taylor, S. F., & James, Y. S. (2005). ’Migrating' to new service providers: toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96–115. doi: 10.1177/0092070304267928
    Bao, Y., Xiong, T., Hu, Z., & Kibelloh, M. (2013). Exploring gender differences on gen-eral and specific computer self-efficacy in mobile learning adoption. Journal of Educational Computing Research, 49(1), 111–132. doi: 10.2190/EC.49.1.e
    Baumgartner, H., & Steenkamp, J. B. (1996). Exploratory consumer buying behavior: Conceptualization and measurement. Internatinational Journal of Research in Marketing, 13(2), 121–137. doi: 10.1016/0167-8116(95)00037-2
    Bell, S. J., Auh, S., & Smalley, K. (2005). Customer relationship dynamics: Service quality and customer loyalty in the context of varying levels of customer exper-tise and switching costs. Journal of the Academy of Marketing Science, 33(2), 169–183. doi: 10.1177/0092070304269111
    Benson, D. H. (1983). A field study of end user computing: Findings and issues. MIS Quarterly, 7(4), 35–45. doi: 10.2307/248745
    Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009). Problematic internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence. Computers in Human Behavior, 25(5), 1182–1187. doi: 10.1016/j.chb.2009.03.001
    Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17. doi: 10.1509/jmkg.
    Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expec-tation-Confirmation Model. MIS Quarterly, 25(3), 351–370. doi: 10.2307/3250921
    Bhattacherjee, A., Limayem, M. & Cheung, C. M. (2012). User switching of infor-mation technology: A theoretical synthesis and empirical test. Information & Management, 49(7–8), 327–333. doi: 10.1016/j.im.2012.06.002
    Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology Behavior, 8(1), 39–51. doi: 10.1089/cpb.2005.8.39
    Billieux, J., Linden, M. V., D’acremont, M., Ceschi, G., & Zermatten, A. (2007). Does impulsivity relate to perceived dependence on and actual use of the mobile phone?. Applied Cognitive Psychology, 21(4), 527–537. doi: 10.1002/acp.1289
    Blut, M., Beatty, S. E., Evanschitzky, H., & Brock, C. (2014). The Impact of Service Characteristics on the Switching Costs–Customer Loyalty Link. Journal of Re-tailing, 90(2), 275–290. doi: 10.1016/j.jretai.2014.04.003
    Bogue, D. J. (1969). Principles of demography, New York: Wiley.
    Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of loyalty pro-gram membership and service experiences for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95–108. doi: 10.1177/0092070300281009
    Borland, J. (2005). Firefox passes 50 million download mark. CNET News. Retrieved June 22, 2014, from http://news.cnet.com/Firefox-passes-50-million-download-mark/2100-1032_3-5690558.html
    Bosmans, A., & Baumgartner, H. (2005). Goal-relevant emotional information: When extraneous affect leads to persuasion and when it does not. Journal of Consumer Research, 32(3), 424–434. doi: 10.1086/497554
    Boyle, P. J., Halfacree, K., & Robinson, V. (1998). Exploring Contemporary Migration. New York: Longman.
    Brady, M. K., & Cronin, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34–49. doi: 10.1509/jmkg.
    Bryant, P. (2007). Self-regulation and decision heuristics in entrepreneurial opportunity evaluation and exploitation. Management Decision, 45(4), 732–748. doi: 10.1108/00251740710746006
    Bryant, P. (2009). Self-regulation and moral awareness among entrepreneurs. Journal of Business Venturing, 24(5), 505–518. doi: 10.1016/j.jbusvent.2008.04.005
    Bryant, P., & Dunford, R. (2008). The influence of regulatory focus on risky deci-sion-making. Applied Psychology, 57(2), 335–359. doi: 10.1111/j.1464-0597.2007.00319.x
    Bulgurcu, B., Cavusoglu, H., & Benbasat, I. (2010). Information security policy com-pliance: an empirical study of rationality-based beliefs and information security awareness. MIS Quarterly, 34(3), 523–548.
    Burton, F. G., Chen, Y. N., Grover, V., & Stewart, K. A. (1992). An application of ex-pectancy theory for assessing user motivation to utilize an expert system. Journal of Management Information Systems, 9(3), 183–198.
    Butt, S., & Phillips, J. G. (2008). Personality and self-reported mobile phone use. Com-puters in Human Behavior, 24(2), 346–360. doi: 10.1016/j.chb.2007.01.019
    Camarero, C., Antón, C., & Carrero, M. (2010). Relationship exit in different legal en-vironments: a cross-cultural analysis. The Service Industries Journal, 30(9), 1457–1478. doi: 10.1080/02642060802621460
    Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. doi: 10.1037/h0046016
    Campbell, S. W., & Kwak, N. (2010). Mobile communication and social capital: An analysis of geographically differentiated usage patterns. New Media & Society, 12(3), 435–451. doi: 10.1177/1461444809343307
    Capraro, A. J., Broniarczyk, S., & Srivastava, R. K. (2003). Factors Influencing the Likelihood of Customer Defection: The Role of Consumer Knowledge. Journal of the Academy of Marketing Science, 31(2), 164–175. doi: 10.1177/0092070302250900
    Cesario, J., Grant, H., & Higgins, E. T. (2004). Regulatory fit and persuasion: transfer from “Feeling Right”. Journal of Personality and Social Psychology, 86(3), 388–404. doi: 10.1037/0022-3514.86.3.388
    Champion, T. & Fielding, T. (1992). Editorial Introduction. In Migration Processes and Patterns, Vol. 1: Research Progress and Prospects. Eds. T. Champion and T. Fielding. London: Belhaven Press, 1–14.
    Chan, S. H. (2009). The roles of user motivation to perform a task and decision support system (DSS) effectiveness and efficiency in DSS use. Computers in Human Behavior, 25(1), 217–228. doi: 10.1016/j.chb.2008.09.002
    Chang, I. C., Liu, C. C., & Chen, K. (2013). The push, pull and mooring effects in vir-tual migration for social networking sites. Information Systems Journal, 24(4), 323–346. doi: 10.1111/isj.12030
    Chatterjee, S., Malshe, A. V., & Heath, T. B. (2010). The effect of mixed versus blocked sequencing of promotion and prevention features on brand evaluation: The moderating role of regulatory focus. Journal of Business Research, 63(12), 1290–1294. doi: 10.1016/j.jbusres.2009.09.003
    Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Mar-keting, 65(2), 81–93. doi: 10.1509/jmkg.
    Chen, P. Y., & Hitt, L. M. (2002). Measuring Switching Costs and the Determinants of Customer Retention in Internet-enabled Businesses: A study of the Online Bro-kerage Industry. Information Systems Research, 13(3), 255–274. doi: 10.1287/isre.
    Cheong, S. N., Ling, H. C., & Teh, P. L. (2014). Secure encrypted steganography graph-ical password scheme for near field communication smartphone access control system. Expert Systems with Applications, 41(7), 3561–3568. doi: 10.1016/j.eswa.2013.10.060
    Chhablani, J., Kaja, S., & Shah, V. A. (2012). Smartphones in ophthalmology. Indian Journal of Ophthalmology, 60(2), 127–131. doi: 10.4103/0301-4738.94054
    Chin, W. W., Gopal, A., & Salisbury, W. D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropria-tion. Information Systems Research, 8(4), 342–367. doi:10.1287/isre.8.4.342
    Chin, W. W., Marcolin, B. L., & Newsted, P. R., (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study. Information System Research, 14(2), 189–217. doi: 10.1287/isre.
    Chiou, J. S. (2004). The Antecedents of Consumers' Loyalty toward Internet Service Providers. Information & Management, 41(6), 685–695. doi:10.1016/j.im.2003.08.006
    Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49–57. doi: 10.1016/j.chb.2014.01.024
    Chiu, C. M., & Wang, E. T. G., (2008). Understanding Web-based Learning Continu-ance Intention: The Role of Subjective Task Value. Information and Manage-ment, 45(3), 194–201. doi: 10.1016/j.im.2008.02.003
    Chiu, H. C., Hsieh, Y. C., Li, Y. C., & Lee, M. (2005). Relationship marketing and consumer switching behavior. Journal of Business Research, 58(12), 1681–1689. doi:10.1016/j.jbusres.2004.11.005
    Chiu, H. C., Hsieh, Y. C., Roan, J., Tseng, K. J., & Hsieh, J. K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Com-merce Research and Application, 10(2), 268–277. doi:10.1016/j.elerap.2010.07.002
    Chowdhury, T. G., Ratneshwar, S., & Desai, K. K. (2009). The role of exploratory buy-ing behavior tendencies in choices made for others. Journal of Consumer Psy-chology, 19(3), 517–525. doi:10.1016/j.jcps.2009.05.003
    Chowdhury, H. K., Parvin, N., Weitenberner, C., & Becker, M. (2006). Consumer atti-tude toward mobile advertising in an emerging market: An empirical study. In-ternational Journal of Mobile Marketing, 1(2), 33.
    Chuang, Y. F. (2011). Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions. Telecommunication Policy, 35(2), 128–140. doi: 10.1016/j.telpol.2010.12.003
    Chung, S., & Han, I. (2013). Factors influencing information distortion in online delib-erations: The effects of informational characteristics and regulatory focus. Com-puters in Human Behavior, 29(6), 2188–2196. doi: 10.1016/j.chb.2013.04.036
    Chung, K. S., & Lee, J. E. (2012). Design and development of m-learning service based on 3G cellular phones. Journal of Information Process Systems, 8(3), 521–538. doi: 10.3745/JIPS.2012.8.3.521
    Clabaugh, J. (2013). Tablet ownership reaches 40%. Washington Business Journal. Re-trieved June 22, 2014, from http://www.bizjournals.com/washington/blog/techflash/2013/04/tablet-ownership-reaches-40.html
    Clark, W. A. V. (1986). Human Migration. Beverly Hills: Sage Publications.
    Clark, D. E., & Knapp, T. A., & White, N. E. (1996). Personal and location-specific characteristics and elderly interstate migration. Growth & Change, 27(3), 327–351. doi:10.1111/j.1468-2257.1996.tb00909.x
    Clough, G., Jones, A., McAndrew, P., & Scanlon, E. (2008). Informal learning with PDAs and smartphones. Journal of Computer Assisted Learning, 24(5), 359–371. doi:10.1111/j.1365-2729.2007.00268.x
    CNN. (2011). Industry First: Smartphones Pass PCs in Sales. Fortune Industry First. Retrieved June 22, 2014, from http://tech.fortune.cnn.com/2011/02/07/idc-smartphone-shipment-numbers-passed-pc-in-q4-2010
    Cohen, R. (1996). Theories of migration. Cheltenham, UK: E. Elgar.
    Colwill, S. R., Aung, M., Kanitkar, V., & Holden, A. L. (2008). Towards a measure of service convenience: Multi-item scale development and empirical test. Journal of Service Marketing, 22(2), 160–169. doi: 10.1108/08876040810862895
    comScore (2009). comScore Reports December 2009 U.S. Mobile Subscriber Market Share. comScore. Retrieved June 22, 2014, from http://www.comscore.com/Insights/Press_Releases/2010/2/comScore_Reports_December_2009_U.S._Mobile_Subscriber_Market_Share
    comScore (2014). comScore Reports April 2014 U.S. Smartphone Subscriber Market Share. comScore. Retrieved June 22, 2014, from https://www.comscore.com/Insights/Press_Releases/2014/6/comScore_Reports_April_2014_US_Smartphone_Subscriber_Market_Share
    Cornelis, E., Adams, L., & Cauberghe, V. (2012). The effectiveness of regulatory (in)congruent ads: the moderating role of an ad's rational versus emotional tone. International Journal of Advertising, 31(2), 397–420. doi: 10.2501/IJA-31-2-397-420
    Couper, M. P., Traugott, M. W., & Lamias, M. J. (2001). Web survey design and ad-ministration. The Public Opinion Quarterly, 65(2), 230–253. doi: 10.1086/322199
    Couger, J. D., Zawacki, R. A., & Oppermann, E. B. (1979). Motivation levels of MIS managers versus those of their employees. MIS Quarterly, 3(3), 47–56. doi: 10.2307/248788
    Cronin, J. J. & Taylor, S. A. (1992). Measuring service quality. A re-examination and extension. Journal of Marketing, 56(3), 55–68. doi: 10.2307/1252296
    Cronin, J. J., Brady, M. K., & Hult, G. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environ-ments. Journal of Retailing, 76(2), 193–218. doi:10.1016/S0022-4359(00)00028-2
    Crowe, E., & Higgins, E. T. (1997). Regulatory focus and strategic inclinations: Promo-tion and prevention in decision making. Organizational Behavior and Human Decision Processes, 69(2), 117–132. doi:10.1006/obhd.1996.2675
    Cusumano, M. A. (2010). Platforms and services: Understanding the resurgence of Ap-ple. Communications of the ACM, 53(10), 22–24. doi:10.1145/1831407.1831418
    Dabholkar, P. A., & Walls, S. (1999). Service evaluation and switching behavior for ex-periential services: An empirical test of gender differences within a broader con-ceptual framework. Journal of Consumer Satisfaction, Dissatisfaction, and Com-plaining Behavior, 12, 123–137.
    Dai, H., & Palvi, P. C. (2009). Mobile commerce adoption in China and the United States: a cross-cultural study. ACM SIGMIS Database, 40(4), 43–61. doi:10.1145/1644953.1644958
    Dall, C., Andrus, J., Van’t Hof, A., Laadan, O., & Nieh, J. (2012). The design, imple-mentation, and evaluation of cells: A virtual smartphone architecture. ACM Transactions on Computer Systems, 30(3). doi:10.1145/2324876.2324877
    Daryanto, A., de Ruyter, K., & Wetzels, M. (2010a). Getting a discount or sharing the cost: The influence of regulatory fit on consumer responses to service pricing schemes. Journal of Services Research, 13(2), 153–167. doi:10.1177/1094670509351566
    Daryanto, A., de Ruyter, K., Wetzels, M., & Patterson, P. (2010b). Service firms and customer loyalty programs: A regulatory fit perspective of reward preferences in a health club setting. Journal of the Academy of Marketing Science, 38(5), 604–616. doi:10.1007/s11747-009-0165-x
    Das, T. K., & Kumar, R. (2011). Regulatory focus and opportunism in the alliance de-velopment process. Journal of Management, 37(3), 682–708. doi: 10.1177/0149206309356325
    de Boer, J., Hoogland, C. T., & Boersema, J. J. (2007). Towards more sustainable food choices. Values priorities and motivational orientations. Food Quality and Pref-erence, 18(7), 985–996. doi: 10.1016/j.foodqual.2007.04.002
    De Jong, G. F., & Gardner, R. W., (1981). Introduction and Overview. In Migration Decision Making: Multidisciplinary Approaches to Microlevel Studies in Devel-oped and Developing Countries. Eds. G. E De Jong and R. W. Gardner. Elms-ford, NY: Pergamon.
    De Jong, G. F. & Fawcett, J. T. (1981). Motivations for Migration: An Assessment and a Value-Expectancy Research Model. In Migration Decision Making: Multidisci-plinary Approaches to Microlevel Studies in Developed and Developing Coun-tries. Eds. G. E De Jong and R. W. Gardner. Elmsford, NY: Pergamon.
    de la Vega, R., Roset, R., Castarlenas, E., Sánchez-Rodríguez, E., Solé, E., & Miró, J. (2014). Development and testing of Painometer: A smartphone app to assess pain intensity. Journal of Pain. doi: 10.1016/j.jpain.2014.04.009
    de Lange, M. A., & van Knippenberg, A. F. M. (2009). To err is human: how regulatory focus and action orientation predict performance following errors. Journal of Experimental Social Psychology, 45(6), 1192–1199. doi: 10.1016/j.jesp.2009.07.009
    Delone, W. H. & McLean, E. R. (1992). Information Systems Success: The quest for the dependent variable. Information Systems Research (3)1, 60–95. doi: 10.1287/isre.3.1.60
    Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in China. Internation-al Journal of Information Management, 30(4), 289–300. doi: 10.1016/j.ijinfomgt.2009.10.001
    Desai, K. K., & Trivedi, M. (2014). Do consumer perceptions matter in measuring choice variety and variety seeking. Journal of Business Research, 67(1), 2786–2792. doi: 10.1016/j.jbusres.2012.08.019
    Desbarats, J. (1983). Spatial choice and constraints on behavior. Annals of the Associa-tion of American Geographers, 73(3), 340–357. doi: 10.1111/j.1467-8306.1983.tb01421.x
    Desouza, K. C., Jha, S., Sangareddy, S. R. P. & Ye, C. (2006). Choosing between technology solutions: rational or irrational decision making?. IEE Engineering Management Magazine, 42–45.
    Dess, G. G., Lumpkin, G. T., & Eisner, A. B. (2007). Strategic Management: Text and Cases, 3 ed. New York: McGraw-Hill Irwin.
    Dillman, D. A. (2007). Mail and Internet Surveys: The Tailored Design Method – 2007 Update with New Internet, Visual, and Mixed-Mode Guide. New York: John Wiley & Sons.
    Dioko, L. A. N., So, S. I., Harrill, R. (2013). Hotel category switching behav-ior—Evidence of mobility, stasis or loyalty. International Journal of Hospitality Management 34, 234–244. doi: 10.1016/j.ijhm.2013.04.002
    Dorigo, G. & Tobler, W. (1983). Push-pull migration laws. Annals of the Association of American Geographers, 73(1), 1–17. doi: 10.1111/j.1467-8306.1983.tb01392.x
    Dornan, A. (2006). Impact of consumer technology hits business world. Information Week. Retrieved June 23, 2014, from: http://www.informationweek.com/news/showArticle.jhtml?articleID=181502671
    Drolet, A. (2002). Inherent rule variability in consumer choice: Changing rules for change's sake. Journal of Consumer Research, 29(3), 293–305. doi: 10.1086/344433
    Dubé, L., & Morgan, M. S. (1998). Capturing the dynamics of in-process consumption emotions and satisfaction in extended service transactions. International Journal of Research in Marketing, 15(4), 309–320. doi: 10.1016/S0167-8116(98)00009-3
    East, R., Muchineripi, R., Outerakou, A., Grandcolas, U., & Riley, F. D. (2010). Switching service providers: Reasons, service types, and sequences. Journal of Business Research, 4(1–2).
    Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and selfes-teem as predictors of young people’s technology use. CyberPsychology & Be-havior, 11(6), 739–741. doi: 10.1089/cpb.2008.0030
    Ek, K., Söderholm, P. (2008). Households' switching behavior between electricity sup-pliers in Sweden. Utilities Policy, 16(4), 254–261. doi: 10.1016/j.jup.2008.04.005
    Enck, W., Gilbert, P., Chun, B. G., Cox, L. P., Jung, J., McDaniel, P., & Sheth, A. N. (2014). TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. Communications of the ACM, 57(3), 99–106. doi: 10.1145/2494522
    Eom, S. J., & Kim, J. H. (2014). The adoption of public smartphone applications in Ko-rea: Empirical analysis on maturity level and influential factors. Government In-formation Quarterly. doi: 10.1016/j.giq.2014.01.005
    Ezoe, S., Toda, M., Yoshimura, K., Naritomi, A., Den, R., & Morimoto, K. (2009). Re-lationships of personality and lifestyle with mobile phone dependence among female nursing students. Social Behavior and Personality, 37(2), 231–238. doi: 10.2224/sbp.2009.37.2.231
    Fan. L., & Suh, Y. H. (2014). Why do users switch to a disruptive technology? An em-pirical study based on expectation-disconfirmation theory. Information & Man-agement, 51(2), 240–248. doi: 10.1016/j.im.2013.12.004
    Farquhar, J. D., & Rowley, J. (2009). Convenience: a services perspective. Marketing Theory, 9(4), 425–438. doi: 10.1177/1470593109346894
    Federal Bureau of Investigation (2006). 2005 FBI Computer Crime Survey. Federal Bureau of Investigation. Retrieved June 23, 2014, from: http://www.wheresthepaper.org/FBIccs2005.pdf
    Fellner, B., Holler, M., Kirchler, E., & Schabmann, A. (2007). Regulatory Focus Scale (RFS): Development of a scale to record dispositional regulatory focus. Swiss Journal of Psychology, 66(2), 109–116. doi: 10.1024/1421-0185.66.2.109
    Fernandes, D., & Mandel, N., (2014). Political conservatism and variety-seeking. Jour-nal of Consumer Psychology, 24(1), 79–86. doi: 10.1016/j.jcps.2013.05.003
    Fielding, T. (1992a). Migration and Culture. In Migration Processes and Patterns, vol. 1: Research Progress and Prospects. Eds. Tony Champion and Tony Fielding. London: Belhaven, 201–212.
    Fielding, T. (1992b). Migration and Social Change. In Migration Processes and Patterns, vol 1. Eds. John Stillwell, Philip Rees, and Peter Boden. London: Belhaven, 201–212.
    Firmin, M. W., Firmin, R. L., Orient, K. M., Edwards, A. J., & Cunliff, J. M. (2012). The BlackBerry image: Self-identified perceptions and motivations associated with college student BlackBerry use. Educational Media International, 49(1), 19–32. doi: 10.1080/09523987.2012.662622
    Flanagan, J. C. (1978). A research approach to improving our quality of life. American Psychologist, 33(2), 138–147. doi: 10.1037/0003-066X.33.2.138
    Florack, A., & Scarabis, M. (2006). How advertising claims affect brand preferences and category-brand associations: the role of regulatory fit. Psychology and Mar-keting, 23(9), 741–755. doi: 10.1002/mar.20127
    Florack, A., Palcu, J., & Friese, M. (2013). The moderating role of regulatory focus on the social modeling of food intake. Appetite, 69(1), 114–122. doi: 10.1016/j.appet.2013.05.012
    Fornell, C. (1992). A National Customer Satisfaction Barometer: The Swedish Experi-ence. Journal of Marketing, 56(1), 6–21. doi: 10.2307/1252129
    Fornell, C., Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. doi: 10.2307/3151718
    Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Un-observable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
    Förster, J., & Higgins, E. T. (2005). How global versus local perception fits regulatory focus. Psychological Science, 16(8), 631–636. doi: 10.1111/j.1467-9280.2005.01586.x
    Fournier, S., & Mick, D. G. (1999). Rediscovering satisfaction. Journal of Marketing, 63(4), 5–23. doi: 10.2307/1251971
    Fransen, M. L., Reinders, M. J., Bartels, J., & Maassen, R. L. (2010). The influence of regulatory fit on evaluation and intentions to buy genetically modified foods. The mediating role of social identification. Journal of Marketing Communica-tions, 16(1–2), 5–20. doi: 10.1080/13527260903342696
    Fried, I., & Festa, P. (2005). Reversal: Next IE divorced from new Windows. CNET News. Retrieved June 23, 2014, from: http://news.cnet.com/Reversal-Next-IE-divorced-from-new-Windows/2100-1032_3-5577263.html
    Fu, J. R. (2011). Understanding career commitment of IT professionals: Perspectives of push–pull–mooring framework and investment model. International Journal of Information Management, 31(3), 279–293. doi: 10.1016/j.ijinfomgt.2010.08.008
    Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000). Understanding the customer base of service providers: An examination of the differences between switchers and stayers. Journal of Marketing, 64(3), 65–87. doi: 10.1509/jmkg.
    Garbarino, E., & Johnson, M. J. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70–87. doi: 10.2307/1251946
    Gardner, R. W. (1981). Macrolevel Influences on the Migration Decision Process. In Migration Decision Making: Multidisciplinary Approaches to Microlevel Studies in Developed and Developing Countries. Eds. Gordon E De Jong and Robert W. Gardner. Elmsford, NY: Pergamon.
    Gartner. (2011). Gartner says worldwide mobile application store revenue forecast to surpass $15 billion in 2011. Gartner. Retrieved June 23, 2014, from: http://www.gartner.com/newsroom/id/1529214
    Gartner. (2013). Gartner says worldwide mobile advertising revenue to reach $11.4 bil-lion in 2013. Gartner. Retrieved June 23, 2014, from: http://www.gartner.com/newsroom/id/2306215
    Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Infor-mation Systems, 16(5), 91–109.
    Germani, G. (1965). Migration and Acculturation. In Handbook for Social Research in Urban Areas. Ed. Philip M. Hauser. Brussels, Belgium: UNESCO, 159–178.
    Gill, T. G. (1996). Expert systems usage: Task change and intrinsic motivation. MIS Quarterly, 20(3), 301–329. doi: 10.2307/249658
    Gillard, M., Desmette, D., & Keller, J. (2011). Regulatory focus moderates the influence of age-related stereotypic expectancies on older adults’ test performance and threat-based concerns. European Review of Applied Psychology, 61(1), 23–29. doi: 10.1016/j.erap.2010.11.001
    Givon, M. (1984). Variety Seeking through Brand Switching. Marketing Science, 3(1), 1–22. doi: 10.1287/mksc.3.1.1
    Glynn, R. W., O’Duffy, F., O’Dwyer, T. P., Colreavy, M. P., & Rowley, H. M. (2013). Patterns of Internet and smartphone use by parents of children attending a pedi-atric otolaryngology service. International Journal of Pediatric Otorhinolaryn-gology, 77(5), 699–702. doi: 10.1016/j.ijporl.2013.01.021
    Gollwitzer, P. M., & Sheeran, P. (2009). Self-regulation of consumer decision making and behavior: The role of implementation intentions. Journal of Consumer Psy-chology, 19(4), 593–607. doi: 10.1016/j.jcps.2009.08.004
    Gomez, P., Borges, A., & Pechmann, C. (2013). Avoiding poor health or approaching good health: Does it matter? The conceptualization, measurement, and conse-quences of health regulatory focus. Journal of Consumer Psychology, 23(4), 451–463. doi: 10.1016/j.jcps.2013.02.001
    Goodhue, D. L. & Straub, D. W. (1991). Security Concerns of System Users: A Study of Perceptions of the Adequacy of Security. Information & Management, 20(1), 13–27. doi: 10.1016/0378-7206(91)90024-V
    Goth, G. (2004). IE security flaws spike interest in alternative browsers. IEEE Internet Computing, 8(6), 8–11. doi: 10.1109/MIC.2004.1260696
    Greenwood, M. J., Mueser, P. R., Plane, D. A., & Schlottmann, A. M. (1991). New Di-rections in Migration Research: Perspectives from Some North American Re-gional Science Disciplines. The Annals of Regional Science, 25(4), 237–270. doi: 10.1007/BF01581852
    Grewal, D., Motyka, S., Puccinelli, N., Roggeveen, A., Daryanto, A., & de Ruyter, K., et al. (2010). A meta-analytic review of regulatory fit effects. Marketing Science Institute Research Report, 10–117.
    Grimm, L. R., Markman, A. B., Maddox, W. T., & Baldwin, G. C. (2009). Stereotype threat reinterpreted as a regulatory mismatch. Journal of Personality and Social Psychology, 96(2), 288–304. doi: 10.1037/a0013463
    Guielford, J. P. (1965). Fundamental Statistics in Psychology and Education. New York: McGraw-Hill.
    Gwebu, K. L., & Wang, J. (2011). Adoption of Open Source Software: The role of so-cial identification. Decision Support Systems, 51(1), 220–229. doi: 10.1016/j.dss.2010.12.010
    Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: The customer's perspective. Journal of the Academy of Marketing Science, 26(2), 101–114. doi: 10.1177/0092070398262002
    Ha, J. H., Chin, B., Park, D. H., Ryu, S. H., & Yu, J. (2008). Characteristics of exces-sive cellular phone use in Korean adolescents. CyberPsychology & Behavior, 11(6), 783–784. doi: 10.1089/cpb.2008.0096
    Haddington, P., & Rauniomaa, M. (2011). Technologies, multitasking, and driving: At-tending to and preparing for a mobile phone conversation in a car. Human Communication Research, 37(2), 223–254. doi: 10.1111/j.1468-2958.2010.01400.x
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. doi: 10.2753/MTP1069-6679190202
    Haj-Salem, N., Chebat, J. C. (2014). The double-edged sword: The positive and nega-tive effects of switching costs on customer exit and revenge. Journal of Business Research, 67(6), 1106–1113. doi: 10.1016/j.jbusres.2013.05.050
    Hamka, F., Bouwman, H., de Reuver, M., & Kroesen, M. (2014). Mobile customer seg-mentation based on smartphone measurement. Telematics and Informatics, 31(2), 220–227. doi: 10.1016/j.tele.2013.08.006
    Hamstra, M. R. W., Bolderdijk, J. W., & Veldstra, J. L. (2011). Everyday risk taking as a function of regulatory focus. Journal of Research in Personality, 45(1), 134–137. doi: 10.1016/j.jrp.2010.11.017
    Han, H., Kim, W., & Hyun, S. S. (2011). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the ho-tel industry. International Journal of Hospitality Management, 30(3), 619–629. doi: 10.1016/j.ijhm.2010.11.006
    Hart, W., Albarracin, D., Eagly, A. H., Brechan, I., Lindberg, M. J., & Merrill, L. (2009). Feeling Validated Versus Being Correct: A Meta-Analysis of Selective Exposure to Information. Psychological Bulletin, 135(4), 555–588. doi: 10.1037/a0015701
    Hawkes, C. P., Walsh, B. H., Ryan, C. A., & Dempsey, E. M. (2013). Smartphone technology enhances newborn intubation knowledge and performance amongst paediatric trainees. Resuscitation, 84(2), 223–226. doi: 10.1016/j.resuscitation.2012.06.025
    Haws, K. L., Dholakia, U. M., & Bearden, W. O. (2010). An assessment of chronic reg-ulatory focus measures. Journal of Marketing Research, 47(5), 967–982. doi: 10.1509/jmkr.47.5.967
    Heitz-Spann, S. (2013). Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories. Journal of Retailing and Consumer Services, 20(6), 570–578. doi: 10.1016/j.jretconser.2013.07.006
    Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2002). Understanding relation-ship marketing outcomes: An integration of relational benefits and relationship quality. Journal of Service Research, 4(3), 230–247. doi: 10.1177/1094670502004003006
    Hertzberg, R. (2007). I.T.’s Top 84 R&D Spenders. Baseline. Retrieved June 23, 2014, from: http://www.baselinemag.com/c/a/IT-Management/ITs-Top-84-RD-Spenders
    Hess, R. L., Ganesan, S. & Klein, N. M. (2003). Service failure and recovery: The im-pact of relationship factor on customer satisfaction. Journal of the Academy of Marketing Science, 31(2), 127–147. doi: 10.1177/0092070302250898
    Higgins, E. T. (1996). The “Self digest”: Self-knowledge serving self-regulatory func-tions. Journal of Personality and Social Psychology, 71(6), 1062–1083. doi: 10.1037//0022-3514.71.6.1062
    Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280–1300. doi: 10.1037/0003-066X.52.12.1280
    Higgins, E. T. (1998). Promotion and prevention: Regulatory focus as a motivational principle. Advances in Experimental Social Psychology, 30, 1–46. doi: 10.1016/S0065-2601(08)60381-0
    Higgins, E. T. (2012). Beyond pleasure and pain. How motivation works. NY: Oxford University Press.
    Higgins, E. T., & Silberman, I. (1998). Development of regulatory focus: Promotion and prevention as ways of living. In J. Heckhausen & C. S. Dweck (Eds.), Motivation and self-regulation across the life span, 78–113. New York: Cambridge Univ. Press.
    Higgins, E. T., Cesario, J., Hagiwara, N., Spiegel, S., & Pittman, T. (2010). Increasing or decreasing interest in activities: the role of regulatory fit. Journal of Personality and Social Psychology, 98(4), 559–572. doi: 10.1037/a0018833
    Hmieleski, K. M., & Baron, R. A. (2008). Regulatory focus and new venture perfor-mance: A study of entrepreneurial opportunity exploitation under conditions of risk versus uncertainty. Strategic Entrepreneurship Journal, 2(4), 285–299. doi: 10.1002/sej.56
    Holler, M., Hoelzl, E., Kirchler, E., Leder, S., & Mannetti, L. (2008). Framing of infor-mation on the use of public finances, regulatory fit of recipients and tax compli-ance. Journal of Economic Psychology, 29(4), 597–611. doi: 10.1016/j.joep.2008.01.001
    Holzer, A., & Ondrus, J. (2011). Mobile application market: A developer's perspective. Telematics and Informatics, 28(1), 22–31. doi: 10.1016/j.tele.2010.05.006
    Homburg, C., & Giering, A. (2001). Personal characteristics as moderators of the rela-tionship between customer satisfaction and loyalty–An empirical analysis. Psy-chology & Marketing, 18(1), 43–66. doi: 10.1002/1520-6793(200101)18:1<43::AID-MAR3>3.0.CO;2-I
    Hong, J., & Lee, A. Y. (2008). Be fit and be strong: mastering self-regulation through regulatory fit. Journal of Consumer Research, 34(5), 682–695. doi: 10.1086/521902
    Hong, F. Y., Chiu, S. I., & Huang, D. H. (2012). A model of the relationship between psychological characteristics, smartphone addiction and use of mobile phones by Taiwanese female university students. Computer in Human Behavior, 28(6), 2152–2159. doi: 10.1016/j.chb.2012.06.020
    Hou, A. C. Y., Chern, C. C., Chen, H. G., & Chen, Y. C. (2009). Using demographic migration theory to explore why people switch between online games. 42nd Hawaii International Conference on System Sciences, 1–9. doi: 10.1109/HICSS.2009.493
    Hou, A. C. Y., Chern, C. C., Chen, H. G. & Chen, Y. C. (2011). 'Migrating to a new virtual world': Exploring MMORPG switching through human migration theory. Computers in Human Behavior, 27(5), 1892–1903. doi: 10.1016/j.chb.2011.04.013
    Hsieh, J. K. & Hsieh, Y. C. (2013). Appealing to Internet-based freelance developers in smartphone application marketplaces. International Journal of Information Man-agement, 33(2), 308–317. doi: 10.1016/j.ijinfomgt.2012.11.010
    Hsieh, J. J. P. A., Rai, A., & Keil, M. (2008). Understanding digital inequality: compar-ing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS Quarterly, 32(1), 97–126. doi: 10.2307/25148830
    Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Post-adoption Switching Behavior for Online Service Substitutes: A Perspective of the Push-Pull-Mooring Framework. Computer in Human Behavior, 28(5), 1912–1920. doi: 10.1016/j.chb.2012.05.010
    Hsu, J. S. C. (2014). Understanding the role of satisfaction in the formation of per-ceived switching value. Decision Support Systems, 59, 152–162. doi: 10.1016/j.dss.2013.11.003
    Hsu, C. L., & Lin, J. C. C., (2008). Acceptance of Blog Usage: The Roles of Technolo-gy Acceptance, Social Influence and Knowledge Sharing Motivation. Infor-mation and Management, 45(1), 65–74. doi: 10.1016/j.im.2007.11.001
    Hsu, C. L., Chen, M. C., Chang, K. C., & Chao, C. M. (2010). Applying loss aversion to investigate service quality on logistics: a moderating effect on service conven-ience. International Journal of Operations and Production Management, 30(5), 508–525. doi: 10.1108/01443571011039605
    Hu, A. W. L., & Hwang, I. S. (2006). Measuring the effects of customer switching costs on switching intention in Taiwan mobile telecommunication services. Journal of American Academy of Business, 9(1), 75–85.
    Hu, P. J. H., Lin, C., & Chen, H. (2005). User Acceptance of Intelligence and Security Informatics Technology: A Study of COPLINK. Journal of the American Socie-ty for Information Science and Technology, 56(3), 235–244. doi: 10.1002/asi.20124
    Hu, P. J. H., Brown, S. A., Thong, J. Y. L., Chan, F. K. Y., & Tam, K. Y. (2009). De-terminants of Service Quality and Continuance Intention of Online Service: The Case of eTax. Journal of the American Society for Information Science and Technology, 60(2), 292–306. doi: 10.1002/asi.20956
    Huang, L. Y., & Hsieh, Y. J. (2012). Consumer electronics acceptance based on innova-tion attributes and switching costs: The case of e-book readers. Electronic Com-merce Research and Applications, 11(3), 218–228. doi: 10.1016/j.elerap.2011.12.005
    Humphreys, L., Von Pape, T., & Karnowski, V. (2013). Evolving mobile media: Uses and conceptualizations of the mobile internet. Journal of Computer-Mediated Communication, 18(4), 491–507. doi: 10.1111/jcc4.12019
    Hung, S. Y., Ku, C. Y., & Chang, C. M. (2003). Critical factors of wap services adop-tion: and empirical study. Electronic Commerce Research and Applications, 2(1), 42–60. doi: 10.1016/S1567-4223(03)00008-5
    Hung, S. Y., Chang, C. M., & Kuo, S. R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33–44. doi: 10.1016/j.giq.2012.07.008
    Idson, L. C., Liberman, N., & Higgins, T. E. (2000). Distinguishing gains from nonloss-es and losses from nongains: A regulatory focus perspective on hedonic intensity. Journal of Experimental Social Psychology, 36(3), 252–274. doi: 10.1006/jesp.1999.1402
    Im, I., Hong, S., & Kang, M. S. (2011). An International Comparison of Technology Adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8. doi: 10.1016/j.im.2010.09.001
    Inman, J. J. (2001). The role of sensory-specific satiety in attribute-level variety seeking. Journal of Consumer Research, 28(1), 105–120. doi: 10.1086/321950
    Ip, R. K. F., & Wagner, C. (2008). Weblogging: A Study of Social Computing and Its Impact on Organizations. Decision Support Systems, 45(2), 242–250. doi: 10.1016/j.dss.2007.02.004
    Jackson, J. A. (1986). Migration. In Aspects of Modern Sociology: Social Processes, Longman, London and New York.
    Jain, S. P., Lindsey, C., Agrawal, N., & Maheswaran, D. (2007). For better or for worse? Valenced comparative frames and regulatory focus. Journal of Consumer Re-search, 34(1), 57–65. doi: 10.1086/513046
    Jamaluddin, J., Zotou, N., & Coulton, P. (2004). Mobile phone vulnerabilities: a new generation of malware. In: IEEE International Symposium on Consumer Elec-tronics, 199–202. doi: 10.1109/ISCE.2004.1375935
    Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems. MIS Quarterly, 29(3), 525–557.
    Jin, S. A. A. (2012). To disclose or not to disclose, that is the question": A structural equation modeling approach to communication privacy management in E-health. Computers in Human Behavior, 28(1), 69–77. doi: 10.1016/j.chb.2011.08.012
    Joireman, J., Shaffer, M. J., Balliet, D., & Strathman, A. (2012). Promotion orientation explains why future-oriented people exercise and eat healthy. Evidence from the two-factor Consideration of Future Consequences–14 Scale. Personality and So-cial Psychology Bulletin, 38(10), 1272–1287.
    Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and re-purchase intentions in service. Journal of Retailing, 76(2), 259–274. doi: 10.1016/S0022-4359(00)00024-5
    Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: Meas-uring the underlying dimensions of services switching costs and managing their differential strategic Outcomes. Journal of Business Research, 55(6), 441–450. doi: 10.1016/S0148-2963(00)00168-5
    Jones, M. A., Reynolds, K. E., Mothersbaugh, D. L., & Beatty, S. E. (2007). The Posi-tive and Negative Effects of Switching Costs on Relational Outcomes. Journal of Service Research, 9(4), 335–355. doi: 10.1177/1094670507299382
    Jost, J. T., Glaser, J., Kruglanski, A. W., & Sulloway, F. J. (2003). Political conservatism as motivated social cognition. Psychological Bulletin, 129(3), 339–375. doi: 10.1037/0033-2909.129.3.339
    Jost, J. T., Napier, J. L., Thorisdottir, H., Gosling, S. D., Palfai, T. P., & Ostafin, B. (2007). Are needs to manage uncertainty and threat associated with political conservatism or ideological extremity?. Personality and Social Psychology Bulle-tin, 33(7), 989–1007. doi: 10.1177/0146167207301028
    Jung, J., Chan-Olmsted, S. M., & Kim, Y. (2013). From access to utilization: Factors affecting smartphone application use and its impacts on social and human capital acquisition in South Korea. Journalism and Mass Communication Quarterly, 90(4), 715–735. doi: 10.1177/1077699013503163
    Kahn, B. E., & Raju, J. (1991). Effects of price promotions on variety-seeking and rein-forcement behavior. Marketing Science, 10(4), 316–337. doi: 10.1287/mksc.10.4.316
    Kalkbrenner, J., & McCampbell, A. (2011). The advent of smartphones: A study on the effect of handheld electronics on personal and professional productivity. Journal of Applied Global Research, 4(8), 1–9.
    Kang, S., & Jung, J. (2014). Mobile communication for human needs: A comparison of smartphone use between the US and Korea. Computers in Human Behavior, 35, 376–387. doi: 10.1016/j.chb.2014.03.024
    Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353–364. doi: 10.1016/j.chb.2009.11.006
    Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adop-tion across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213. doi: 10.2307/249751
    Karikoski, J., & Soikkeli, T. (2013). Contextual usage patterns in smartphone communi-cation services. Personal and Ubiquitous Computing, 17(3), 491–502. doi: 10.1007/s00779-011-0503-0
    Kay, R. H., & Lauricella, S. (2011). Gender differences in the use of laptops in higher education: A formative analysis. Journal of Educational Computing Research, 44(3), 361–380. doi: 10.2190/EC.44.3.f
    Keaveney, S. M. (1995). Customer switching behavior in service industries: An explor-atory study. Journal of Marketing, 59(2), 71–82. doi: 10.2307/1252074
    Keaveney, S. M., & Parthasarathy, M. (2001). Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. Journal of the Academy of Marketing Science, 29(4), 374–390. doi: 10.1177/03079450094225
    Keeling, D. I., Daryanto, A., de Ruyter, K., & Wetzels, M. (2013). Take it or leave it: Using regulatory fit theory to understand reward redemption in channel reward programs. Industrial Marketing Management, 42(8), 1345–1356. doi: 10.1016/j.indmarman.2013.07.005
    Kees, J., Burton, S., & Tangari, A. H. (2010). The impact of regulatory focus, temporal orientation, and fit on consumer responses to health-related advertising. Journal of Advertising, 39(1), 19–34. doi: 10.2753/JOA0091-3367390102
    Keil, M., Tan, B. C. Y., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24(2), 299–325. 10.2307/3250940
    Keller, P. A. (2006). Regulatory focus and efficacy of health messages. Journal of Con-sumer Research, 33(1), 109–114. doi: 10.1086/504141
    Khajehzadeh, S., Oppewal, H., & Tojib, D. (2014). Consumer responses to mobile cou-pons: The roles of shopping motivation and regulatory fit. Journal of Business Research. doi: 10.1016/j.jbusres.2014.02.012
    Kibelloh, M., & Bao, Y. (2013). Can online MBA programms allow professional work-ing mothers to balance work, family, and career progression? A case study in China. The Asia-Pacific Education Researcher, 23(2), 249–259. doi: 10.1007/s40299-013-0101-1
    Kim, J. A. (2006). Toward an Understanding of Web-based Subscription Database Ac-ceptance. Journal of the American Society for Information Science and Technol-ogy, 57(13), 1715–1728. doi: 10.1002/asi.20355
    Kim, H. S., & Drolet, A. (2003). Choice and self-expression: A cultural analysis of vari-ety-seeking. Journal of Personality and Social Psychology, 85(2), 373–382. doi: 10.1037/0022-3514.85.2.373
    Kim, Y. J., & Han, J. Y. (2014). Why smartphone advertising attracts customers: A model of web advertising, flow, and personalization. Computers in Human Be-havior, 33, 256–269. doi: 10.1016/j.chb.2014.01.015
    Kim, J. H., & Jang, S. C. (2014). The fading affect bias: Examining changes in affect and behavioral intentions in restaurant service failures and recoveries. Interna-tional Journal of Hospitality Management, 40, 109–119. doi: 10.1016/j.ijhm.2014.03.011
    Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An in-tegrative view of four mechanisms underlying postadoptioin phenomena. Man-agement Science, 51(5), 741–755. doi: 10.1287/mnsc.1040.0326
    Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly, 33(1), 49–70.
    Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. doi: 10.1016/j.dss.2005.05.009
    Kim, J. W., James, J. D., & Kim, Y. K. (2013). A model of the relationship among sport consumer motives, spectator commitment, and behavioral intentions. Sport Management Review, 16(2), 173–185. doi: 10.1016/j.smr.2012.08.004
    Kim, E. E. Y., Kang, J., & Mattila, A. S. (2012). The impact of prevention versus pro-motion hope on CSR activities. International Journal of Hospitality Management, 31(1), 43–51. doi: 10.1016/j.ijhm.2011.05.004
    Kim, G. M., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884–893. doi:10.1016/j.im.2006.08.004
    Kirmani, A., & Zhu, R. (2007). Vigilant against manipulation: The effect of regulatory focus on the use of persuasion knowledge. Journal of Marketing Research, 44(4), 688–701. doi: 10.1509/jmkr.44.4.688
    Klemperer, P. (1987). Market with consumer switching costs. The Quarterly Journal of Economic, 102(2), 375–394. doi: 10.2307/1885068
    Ko, E., Kim, E. Y., & Lee, E. K. (2009). Modeling consumer adoption of mobile shop-ping for fashion products in Korea. Psychology and Marketing, 26(7), 669–687. doi: 10.1002/mar.20294
    Koenig, A. M., Cesario, J., Molden, D. C., Kosloff, S., & Higgins, E. T. (2009). Inci-dental experiences of regulatory fit and the processing of persuasive appeals. Personality and Social Psychology Bulletin, 35(10), 1342–1355. doi: 10.1177/0146167209339076
    Kopytoff, V. G. (2011). Blogs wane as the young drift to sites like Twitter. The New York Times. Retrieved June 23, 2014, from: http://www.nytimes.com/2011/02/21/technology/internet/21blog.html.
    Krebs, B. (2004). Virus Designed to Steal Windows Users’ Data. The Washington Post. Retrieved June 23, 2014, from: http://www.washingtonpost.com/wp-dyn/articles/A6746-2004Jun25.html
    Kruglanski, A. W., Thompson, E. P., Higgins, E. T., Atash, M. N., Pierro, A., Shah, J. Y., et al. (2000). To ‘do the right thing’ or to ‘just do it’: locomotion and as-sessment as distinct self-regulatory imperatives. Journal of Personality and So-cial Psychology, 79(5), 793–815. doi: 10.1037/0022-3514.79.5.793
    Kulviwat, S., Bruner II, G. C., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private con-sumption. Journal of Business Research, 62(7), 706–712. doi: 10.1016/j.jbusres.2007.04.014
    Kumar, V., & Leone, R. P. (1988). Measuring the effect of retail store promotions on brand and store substitution. Journal of Marketing Research, 25(2), 178–185. doi: 10.2307/3172649
    Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887–896. doi: 10.1016/j.chb.2009.03.003
    Kwon, T., & Na, S. (2014). TinyLock: Affordable defense against smudge attacks on smartphone pattern lock systems. Computers & Security, 42, 137–150. doi: 10.1016/j.cose.2013.12.001
    Kwon, Y., Kang, K., & Bae, C. (2014). Unsupervised learning for human activity recognition using smartphone sensors. Expert Systems with Applications, 41(14), 6067–6074. doi: 10.1016/j.eswa.2014.04.037
    La Polla, M., Martinelli, F., & Sgandurra, D. (2013). A survey on security for mobile devices. Communication Survey & Tutorials IEEE, 15(1), 446–471. doi: 10.1109/SURV.2012.013012.00028
    Lanaj, K., Chang, C. H. D., & Johnson, R. E. (2012). Regulatory focus and work-related outcomes: A review and meta-analysis. Psychological Bulletin, 138(5), 998–1034. doi: 10.1037/a0027723
    Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014). Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organizational Behavior and Human Decision Processes, 124(1), 11–23. doi: 10.1016/j.obhdp.2014.01.001
    Lattin, J. M., & McAlister, L. (1985). Using a variety-seeking model to identify substi-tute and complementary relationships among competing models. Journal of Marketing Research, 22(3), 330–339.
    Law, K. S., Wong, C. S., & Mobley, W. H. (1998). Toward a taxonomy of multidimen-sional constructs. Academy of Management Review, 23(4), 741–755. doi: 10.5465/AMR.1998.1255636
    Leder, S., Mannetti, L., Hölzl, E., & Kirchler, E. (2010). Regulatory fit effects on per-ceived fiscal exchange and tax compliance. The Journal of Socio-Economics, 39(2), 271–277. doi: 10.1016/j.socec.2009.12.003
    Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57.
    Lee, A. Y. (2009). Engaging the consumer: The opposing forces of regulatory nonfit versus fit. Journal of Consumer Psychology, 19(2), 134−136. doi: 10.1016/j.jcps.2009.02.006
    Lee, S. Y. (2014). Examining the factors that influence early adopters’ smartphone adoption: The case of college students. Telematics and Informatics, 31(2), 308–318. doi: 10.1016/j.tele.2013.06.001
    Lee, B. G., & Chung, W. Y. (2012). A smartphone-based driver safety monitoring sys-tem using data fusion. Sensors. 12(12), 17536–17552. doi: 10.3390/s121217536
    Lee, M., & Cunningham, L. F. (2001). A cost/benefit approach to understanding service loyalty. The Journal of Services Marketing, 15(2), 113–123. doi: 10.1108/08876040110387917
    Lee, A. Y., & Semin, G. R. (2009). Culture through the lens of self-regulatory orienta-tions. In: Wyer R, Hong Y, Chiu CY, editors. Understanding culture: theory, research and application. New York: Psychology Press; 2009. 291–301.
    Lee, M., Bak, C., & Lee, J. W. (2014). A prediction and auto-execution system of smartphone application services based on user context-awareness. Journal of Systems Architecture. doi: 10.1016/j.sysarc.2014.04.001
    Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2007). Understanding User Acceptance of Multimedia Messaging Services: An Empirical Study. Journal of the American Society for Information Science and Technology, 58(13), 2066–2077. doi: 10.1002/asi.20670
    Lee, J., Lee, J., & Feick, L. (2001). The impact of switching costs on the customer satis-faction-loyalty link: Mobile phone service in France. The Journal of Services Marketing, 15(1), 35–48. doi: 10.1108/08876040110381463
    Lee, K. W., Tsai, M. T., & Lanting, M. C. L. (2011). From marketplace to marketspace: Investigating the consumer switch to online banking. Electronic Commerce Re-search and Applications, 10(1), 115–125. doi: 10.1016/j.elerap.2010.08.005
    Leikas, S., Lindeman, M., Roininen, K., & Lähteenmäki, L. (2009). Boundaries of regu-latory fit: is it the thought that counts?. Basic and Applied Social Psychology, 31(4), 289–294. doi: 10.1080/01973530903316757
    Lemish, D., & Cohen, A. A. (2005). Tell me about your mobile and I will tell you who you are: Israelis talk about themselves. Mobile communications Computer Sup-ported Cooperative Work, 31, 187–202. doi: 10.1007/1-84628-248-9_12
    Lewis, G. J. (1982). Human Migration: A Geographical Perspective. London and Can-berra, Australia: Croom Helm.
    Li, D., & Walejko, G. (2008). Splogs and Abandoned Blogs: The Perils of Sampling Bloggers and Their Blogs. Information, Communication and Society, 11(2), 279–296. doi: 10.1080/13691180801947976
    Li, D., Browne, G. J., & Wetherbe, J. C. (2007). Online consumers’ switching behavior: a buyer-seller relationship perspective. Journal of Electronic Commerce in Or-ganizations, 5(1), 30–42. doi: 10.4018/978-1-60566-126-1.ch002
    Liang, D., Ma, Z., & Qi, L. (2013). Service quality and customer switching behavior in China's mobile phone service sector. Journal of Business Research, 66(8), 1161–1167. doi: 10.1016/j.jbusres.2012.03.012
    Liberman, N., Molden, D. C., Idson, L. C., & Higgins, E. T. (2001). Promotion and prevention focus on alternative hypotheses: Implications for attributional func-tions. Journal of Personality and Social Psychology, 80, 5–18.
    Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quar-terly, 31(4), 705–737.
    Lin, W. B. (2010). Service failure and consumer switching behaviors: Evidence from the insurance industry. Expert Systems with Applications, 37(4), 3209–3218. doi: 10.1016/j.eswa.2009.09.059
    Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interac-tive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85–108. doi: 10.2753/JEC1086-4415130103
    Lin, K. Y., & Lu, H. P. (2011). Why People Use Social Networking Sites: An Empirical Study Integrating Network Externalities and Motivation Theory. Computers in Human Behavior, 27(3), 1152–1161. doi: 10.1016/j.chb.2010.12.009
    Lin, H. F., & Shen, F. (2012). Regulatory focus and attribute framing: evidence of compatibility effects in advertising. International Journal of Advertising, 31(1), 169–188.
    Lin, J., Chan, H. C., Wei, K. K. (2006). Understanding competing application usage with the theory of planned behavior. Journal of the American Society for Infor-mation Science and Technology, 57(10), 1338–1349. doi: 10.1002/asi.20453
    Lin, Y. C., Chang, C. C. A., & Lin, Y. F. (2012). Self-construal and regulatory focus in-fluences on persuasion: The moderating role of perceived risk. Journal of Busi-ness Research, 65(8), 1152–1159. doi: 10.1016/j.jbusres.2011.08.001
    Ling, R. (2005). Mobile communication vis-a` -vis teen emancipation, peer group inte-gration and deviance. In: R. Harper, A. Taylor, and L. Palen, eds. The inside text: social perspectives on SMS in the mobile age. London: Klewer.
    Liu, B. S. C., Furrer, O., & Sudharshan, D. (2001). The Relationships between Cultures and Behavioral Intentions toward Services?” Journal of Service Research, 4(2), 118–129.
    Liu, C. L. E., Sinkovics, R. R., Pezderka, N., & Haghirian, P. (2012). Determinants of consumer perceptions toward mobile advertising — A comparison between Ja-pan and Austria. Journal of Interactive Marketing, 26(1), 21–32. doi: 10.1016/j.intmar.2011.07.002
    Longino, C. F. (1992). The forest and the trees: micro-level considerations in the study of geographic mobility in old age. In Rogers. A (Ed.), Elderly Migration and Population Redistribution, Bellhaven, London, 23–34.
    Lockwood, P., Chasteen, A. L., & Wong, C., (2005). Age and regulatory focus deter-mine preferences for health-related role models. Psychology and Aging, 20(3), 376–389. doi: 10.1037/0882-7974.20.3.376
    Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive and negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854–864. doi: 10.1037/0022-3514.83.4.854
    Low, B., & Johnston, W. J. (2006). Relationship equity and switching behaviour in the adoption of new telecommunication services. Industrial Marketing Management, 35(6), 676–689. doi: 10.1016/j.indmarman.2005.05.007
    Lu, J., Liu, C., Yu, C. S., & Wang, K. (2008). Determinants of accepting wireless mo-bile data services in China. Information & Management, 45(1), 52–64. doi: 10.1016/j.im.2007.11.002
    Lui, S. M. (2005). Impacts of information technology commoditization: selected studies from ubiquitous information service. in Department of Information and Systems Management. Hong Kong: Hong Kong University of Science and Technology, 139.
    Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common Method Variance in IS Re-search: A Comparison of Alternative Approaches and a Reanalysis of Past Re-search. Management Science, 52(12), 1865–1883. doi: 10.1287/mnsc.1060.0597
    Mansfield, S. (2013). Q & A: Colin Tankard - raising security awareness. Network Secu-rity, 6, 16–19.
    Markovits, Y., Boer, D., & van Dick, R. (2014). Economic crisis and the employee: The effects of economic crisis on employee job satisfaction, commitment, and self-regulation. European Management Journal, 32, 413–422. doi: 10.1016/j.emj.2013.09.005
    Markovits, Y., Ullrich, J., van Dick, R., & Davis, A. J. (2008). Regulatory foci and or-ganizational commitment. Journal of Vocational Behavior, 73, 485–489. doi: 10.1016/j.jvb.2008.09.004
    Marshall, R., Huan, T. C., Xu, Y., & Nam, I. (2011). Extending prospect theory cross-culturally by examining switching behavior in consumer and busi-ness-to-business contexts. Journal of Business Research, 64(8), 871–878. doi: 10.1016/j.jbusres.2010.09.009
    Maxham III, J. G., & Netemeyer, R. G. (2002). A Longitudinal Study of Complaining Customers’ Evaluations of Multiple Service Failures and Recovery Efforts. Journal of Marketing, 66 (4), 57–71.
    Mazursky, D., LaBarbera, P., & Aiello, A. (1987). When Consumers Switch Brands. Psychology & Marketing, 4 (1), 17–30.
    McAlister, L., & Pessemier, E. (1982). Variety seeking behavior: An interdisciplinary re-view. Journal of Consumer Research, 9, 311–322.
    McCarthy, P. S., Kannan, P. K., Chandrasekharan, R. & Wright, G. P. (1992). Estimat-ing Loyalty and Switching with an Application to the Automobile Market”, Management Science, 38, (10), 1371–1392.
    McDougall, G. H. G. & Levesque, T. (2000). Customer Satisfaction With Services: Put-ting Perceived Value Into the Equation?” Journal of Services Marketing, 14 (5), 392–410.
    McElroy, J. C., Hendrickson, A. R., Townsend, A. M., & DeMarie, S. M. (2007). Dis-positional Factors in Internet Use: Personality versus Cognitive Style. MIS Quarterly, 31 (4), 809–820.
    McHugh, K. E., Hogan, T. D., & Happel, S. K. (1995). Multiple Residence and Cyclical Migration: A Life Course Perspective. The Professional Geographer, 47 (3), 251–267.
    McKay-Nesbitt, J., Bhatnagar, N., & Smith, M. C. (2013). Regulatory fit effects of gender and marketing message content. Journal of Business Research, 66, 2245–2251.
    McMillan, R. (2004). Mozilla gains on IE. PCWorld. Retrieved September 10, 2014 from http://www.pcworld.com/article/116848/article.html
    Meeker, M. (2014). Internet Trends 2014, Kleiner Perkins Caufield & Byers, retrieved at June 4, 2014 from http://www.kpcb.com/internet-trends
    Menon, S., & Kahn, B. E. (1995). The impact of context on variety seeking in product choices. Journal of Consumer Research, 22, 285–295.
    Micu, C. C., & Chowdhury, T. G. (2010). The effect of message's regulatory focus and product type on persuasion. Journal of Marketing Theory and Practice, 18, 181–190.
    Mittal, V., Ross, W. T. Jr., & Baldasare, P. M. (1998). The Asymmetric Impact of Nega-tive and Positive Attribute-Level Performance on Overall Satisfaction and Re-purchase Intentions. The Journal of Marketing, 62 (1), 33–47.
    Mobithinking. (2013). http://mobithinking.com/blog/mobile-advertising-statistics-2013, Accessed September 10, 2014.
    Mohan, G., Sivakumaran, B., & Sharma, P. (2012). Store Environment's Impact on Va-riety Seeking Behavior. Journal of Retailing and Consumer Services, 19, 419–428.
    Moon, B. (1995). Paradigm in migration research: exploring 'moorings' as a schema. Progress in Human Geography, 19, 504–524.
    Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192–222.
    Motyka, S., Grewal, D., Puccinelli, N. M., Roggeveen, A. L., Avnet, T., Daryanto, A., de Ruyter, K., & Wetzels, M. (2013). Regulatory fit: A meta-analytic synthesis. Journal of Consumer Psychology. doi: 10.1016/j.jcps.2013.11
  • 孫培真 - 召集委員
  • 劉勇志 - 委員
  • 徐士傑 - 指導教授
  • 林東清 - 指導教授
  • 口試日期 2014-07-01 繳交日期 2014-09-10

    [回到前頁查詢結果 | 重新搜尋]