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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/118519


    Title: 智慧型手機之置換決策及其影響因素
    Replacement decision of smartphone and influencing factors
    Authors: 蔡昕儒
    Tsai, Hsin-Ju
    Contributors: 陳建維
    蔡昕儒
    Tsai, Hsin-Ju
    Keywords: 預期科技進步
    產品過時恐懼
    預期悔恨
    吸引力效果
    妥協效果
    置換決策
    Expectation of technology
    Fear of obsolescence
    Anticipated regret
    Attraction effect
    Compromise effect
    Replacement decision
    Date: 2018
    Issue Date: 2018-07-10 15:28:19 (UTC+8)
    Abstract: 科技產品充斥人們的生活，也改變了人們的消費習慣，廠商透過產品技術的創新、亮眼的外型加速了消費者的置換行為，使得消費者往往不會待到產品完全損壞後才進行更換，而在高科技產品中又以智慧型手機與人們的生活最形影不離，因此本研究希望藉由探討消費者對智慧型手機的置換決策，來了解其中的影響因素，並進行相關分析。
    本研究先探討消費者預期科技進步的程度對產品過時恐懼的影響，進而以消費者滿意度做為控制變數，探討消費者在不同的產品過時恐懼、預期悔恨下，對智慧型手機置換決策(產品升級意願、同品牌再購買意願、品牌轉換意願)的影響，此外，為了分析Apple於去年相繼推出iPhone 8和iPhone X的操作策略，本研究將以iPhone使用者的角度切入，最後在探討消費者升級決策的同時，將吸引力效果與妥協效果納入其中作為討論。希望透過研究消費者對智慧型手機的置換行為，分析Apple的商業決策，並做出商業回饋。

    本研究之結論如下：
    1. 消費者預期科技進步越強，則科技性、經濟性和心理性過時恐懼皆越強
    2. 消費者科技性過時恐懼越強，則產品升級意願越高
    3. 消費者心理性過時恐懼越強，則產品升級意願、品牌再購買意願和品牌轉換意願越高
    4. 消費者預期悔恨越高，則同品牌再購買意願越低
    5. 產品吸引力效果越強，則消費者升級意願越高
    Nowadays, technology products have fulfilled human’s life, and brought a big change on consumer behavior. Manufacturers kept rolling out more and more fascinating new products to accelerate the product replacement of consumers. Among the high-tech market, smartphones might be the most inseparable product for human. Therefore, this study would analyze the impact of different factors on smartphones replacement decision. Moreover, in order to analyze Apple’s strategy of launching iPhone 8 and iPhone X within two months last year, this study would be based on the perspective of iPhone users.
    This study first discusses the impact of expectation of technology on fear of obsolescence. Then take consumer satisfaction as the holding situation, to further discusses the impact of fear of obsolescence and anticipated regret on smartphones replacement decision, including product upgrade intention, brand repurchase intention and brand switching intention. Lastly, the study would discuss the impact of attraction effect and compromise effect on product upgrade intention.

    The conclusions of this study are as below:
    1. The stronger of consumer expectation of technology, the stronger of fear of technological, economic and psychological obsolescence.
    2. The stronger of consumer fear of technological obsolescence, the higher of product upgrade intention.
    3. The stronger of consumer fear of psychological obsolescence, the higher of product upgrade intention, brand repurchase intention and brand switching intention.
    4. The higher of consumer anticipated regret, the lower of brand repurchase intention.
    5. The higher of product attraction effect, the higher of product upgrade intention.
    Reference: 中文部分
    1.孫樣涵(2011)。從實質選擇權觀點分析消費者遞延購買易逝性高科技產品之行為: 以4G手機為例 。國立台灣大學管理學院國際企業研究所博士論文，未出版，台北。
    2.邱志聖(2014)，行銷研究實務與理論應用。臺北：智勝文化事業有限公司。
    3.鄭綦成(2015)。產品過時恐懼與購買間隔對智慧型手機置換決策之研究。國立政治大學國際經營與貿易研究所碩士論文，未出版，台北。
    4.資策會(2017)。2017年台灣寬頻網路使用調查報告。 財團法人台灣網路資訊中心。
    5.國家發展委員會(2017)，106年持有手機民眾數位機會調查報告」。聯合行銷研究股份有限公司。
    6.2017年台灣網購消費者透過行動裝置購物首度超越電腦 (2017)。取自2018年6月2日，尼爾森行銷研究顧問股份有限公司http://www.nielsen.com/tw/zh/press-room/2017/taiwan-mobile-shopping-overpassed-shopping-via-pc.html。

    英文部分
    1. Bayus, B. L. (1988). Accelerating the durable replacement cycle with marketing mix variables. Journal of Product Innovation Management, 5(3), 216-226.
    2. Bayus, B. L. (1991). The consumer durable replacement buyer. The Journal of Marketing, 55(1), 42-51.
    3. Beach, L. R., & Connolly, T. (2005). The psychology of decision making: People in organizations. CA：Sage.
    4. Benartzi, S., & Thaler, R. H. (2002). How much is investor autonomy worth?. The Journal of Finance, 57(4), 1593-1616.
    5. Bell, D. E. (1982). Regret in decision making under uncertainty. Operations research, 30(5), 961-981.
    6. Bird, M., & Ehrenberg, A. S. (1966). Intentions-to-buy and claimed brand usage. Journal of the Operational Research Society, 17(1), 27-46.
    7. Boone, D. S., Lemon, K. N., & Staelin, R. (2001). The impact of firm introductory strategies on consumers’ perceptions of future product introductions and purchase decisions. Journal of Product Innovation Management, 18(2), 96-109.
    8. Boninger, D. S., Gleicher, F., & Strathman, A. (1994). Counterfactual thinking: From what might have been to what may be. Journal of Personality and Social Psychology, 67(2), 297.
    9. Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of loyalty program membership and service experiences for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95-108.
    10. Bridges, E., Yim, C. K., & Briesch, R. A. (1995). A high-tech product market share model with customer expectations. Marketing Science, 14(1), 61-81.
    11. Brown, S. A., & Gulycz, M. (2001). Customer relationship management: A strategic imperative in the world of e-business. New York: Wiley.
    12. Bulow, J. (1986). An economic theory of planned obsolescence. The Quarterly Journal of Economics, 101(4), 729-749.
    13. Chow, C. S., & Zhang, L. L. (2008). Measuring consumer satisfaction and dissatisfaction intensities to identify satisfiers and dissatisfiers. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 21, 66.
    14. Cripps, J. D., & Meyer, R. J. (1994). Heuristics and biases in timing the replacement of durable products. Journal of Consumer Research, 21(2), 304-318.
    15. Cronin Jr, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.
    16. Cooper, T. (2004). Inadequate life? Evidence of consumer attitudes to product obsolescence. Journal of Consumer Policy, 27(4), 421-449.
    17. Cohen, J. B., and Areni, C. S. (1991). Affect and consumer behavior. Handbook and Consumer Behavior, 188-240
    18. Dhar, Ravi , Nowlis, Stephen M., and Sherman, Steven J.(2000). Trying Hard or Hardly Trying: An Analysis of Context Effects in Choice. Journal of Consumer Psychology, 9(4), 189-200
    19. De Clippel, G., & Eliaz, K. (2012). Reason‐based choice: A bargaining rationale for the attraction and compromise effects. Theoretical Economics, 7(1), 125-162.
    20. Dhar, R., & Simonson, I. (2003). The effect of forced choice on choice. Journal of Marketing Research, 40(2), 146-160.
    21. Dhar, R., Menon, A., & Maach, B. (2004). Toward extending the compromise effect to complex buying contexts. Journal of Marketing Research, 41(3), 258-261.
    22. Dick, A. S., & Basu, K. (1994). Customer loyalty: toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99-113.
    23. Erdem, T., Keane, M. P., Öncü, T. S., & Strebel, J. (2005). Learning about computers: An analysis of information search and technology choice. Quantitative Marketing and Economics, 3(3), 207-247.
    24. Fishman, A., Gandal, N., & Shy, O. (1993). Planned obsolescence as an engine of technological progress. The Journal of Industrial Economics, 41(4), 361-370.
    25. Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. the Journal of Marketing, 56(1), 6-21.
    26. 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.
    27. Gleicher, F., Kost, K. A., Baker, S. M., Strathman, A. J., Richman, S. A., & Sherman, S. J. (1990). The role of counterfactual thinking in judgments of affect. Personality and Social Psychology Bulletin, 16(2), 284-295.
    28. Granberg, B. (1997). The quality re-evaluation process: Product obsolescence in a consumer-producer interaction framework. University of Stockholm.
    29. Hennig-Thurau, T. (2004). Customer orientation of service employees: Its impact on customer satisfaction, commitment, and retention. International Journal of Service Industry Management, 15(5), 460-478.
    30. Hetts, J. J., Boninger, D. S., & David, A. Armor, Faith Gleicher, and Ariel Nathanson (2000), The Influence of Anticipated Counterfactual Regret on Behavior. Psychology and Marketing, 17(4), 345-68.
    31. Higgins, S. H., & Shanklin, W. L. (1992). Seeking mass market acceptance for high-technology consumer products. Journal of Consumer Marketing, 9(1), 5-14.
    32. Huber J, Payne J. W. and Puto C. (1982). Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis. Journal of Consumer Research, 9(1), 90-98
    33. Huber J. and Puto C. (1983). Market Boundaries and Product Choice: Illustrating Attraction and Substitution Effects. Journal of Consumer Research, 10 (1), 31-44
    34. Hume, M., Mort, G. S., & Winzar, H. (2007). Exploring repurchase intention in a performing arts context: who comes? and why do they come back?. International Journal of Nonprofit and Voluntary Sector Marketing, 12(2), 135-148.
    35. Jacoby, J., Berning, C. K., & Dietvorst, T. F. (1977). What about disposition?. The Journal of Marketing, 41(2), 22-28.
    36. Janis, I. L., & Mann, L. (1977). Decision making: A psychological analysis of conflict, choice, and commitment. New York, NY, US: Free Press.
    37. Jones, T. O., & Sasser, W. E. (1995). Why satisfied customers defect. Harvard business review, 73(6), 88.
    38. Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259-274.
    39. Kahneman, D., & Miller, D. T. (1986). Norm theory: Comparing reality to its alternatives. Psychological Review, 93(2), 136.
    40. Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. The Journal of Marketing, 71-82.
    41. Kim, N., Srivastava, R. K., & Han, J. K. (2001). Consumer decision-making in a multi-generational choice set context. Journal of Business Research, 53(3), 123-136.
    42. Kim, H. S., & Yoon, C. H. (2004). Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market. Telecommunications policy, 28(9-10), 751-765.
    43. Kim, S. H., & Srinivasan, V. (2009). A Conjoint‐Hazard Model of the Timing of Buyers` Upgrading to Improved Versions of High‐Technology Products. Journal of Product Innovation Management, 26(3), 278-290.
    44. Kivetz, R., Netzer, O., & Srinivasan, V. (2004). Alternative models for capturing the compromise effect. Journal of marketing research, 41(3), 237-257.
    45. LaTour, M. S., & Rotfeld, H. J. (1997). There are threats and (maybe) fear-caused arousal: Theory and confusions of appeals to fear and fear arousal itself. Journal of advertising, 26(3), 45-59.
    46. Lattin, J. M., & Roberts, J. H. (1988). Modeling the role of risk-adjusted utility in the diffusion of innovation. Graduate School of Business, Stanford University.
    47. Landman, J. (1987). Regret and elation following action and inaction: Affective responses to positive versus negative outcomes. Personality and Social Psychology Bulletin, 13(4), 524-536.
    48. Lee, I. H., & Lee, J. (1998). A theory of economic obsolescence. The Journal of Industrial Economics, 46(3), 383-401.
    49. Lehmann, D. R., & Pan, Y. (1994). Context effects, new brand entry, and consideration sets. Journal of Marketing Research, 364-374.
    50. Levinthal, D. A., & Purohit, D. (1989). Durable goods and product obsolescence. Marketing Science, 8(1), 35-56.
    51. Liao, C. H., & Hsieh, I. Y. (2013). Determinants of consumer’s willingness to purchase gray-market smartphones. Journal of business ethics, 114(3), 409-424.
    52. Loomes, G., & Sugden, R. (1982). Regret theory: An alternative theory of rational choice under uncertainty. The economic journal, 92(368), 805-824.
    53. Luce, R. D. (1959). Individual Choice Behavior: a theoretical analysis. New York: John Wiley & Sons, Inc.
    54. Lutz, R. J., and Bettman, J. R. (1977). Multiattribute models in marketing: A bicentennial review. Consumer and Industrial Buying Behavior, 137-149.
    55. Mahajan, V., Muller, E., & Srivastava, R. K. (1990). Determination of adopter categories by using innovation diffusion models. Journal of Marketing Research, 27(1), 37-50.
    56. McIntyre, S. H., & Miller, C. M. (1999). The selection and pricing of retail assortments: An empirical approach. Journal of Retailing, 75(3), 295–319.
    57. Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(2), 123-143.
    58. Müller, H., Kroll, E. B., & Vogt, B. (2012). Do real payments really matter? A re-examination of the compromise effect in hypothetical and binding choice settings. Marketing Letters, 23(1), 73-92.
    59. Mishra S., Umesh U. N., and Stem D. E. (1993). Antecedents of the Attraction Effect: An Information-Processing Approach. Journal of Marketing Research, 30(3), 331-349
    60. Moreau, C. P., Lehmann, D. R., & Markman, A. B. (2001). Entrenched knowledge structures and consumer response to new products. Journal of Marketing Research, 38(1), 14-29.
    61. Morwitz, V. G., Steckel, J. H., & Gupta, A. (2007). When do purchase intentions predict sales?. International Journal of Forecasting, 23(3), 347-364.
    62. Morgan, N. A., & Rego, L. L. (2006). The value of different customer satisfaction and loyalty metrics in predicting business performance. Marketing Science, 25(5), 426-439.
    63. Mowen, J. C., & Mowen, M. M. (1991). Time and outcome valuation: Implications for marketing decision making. The Journal of Marketing, 55(4), 54-62.
    64. Murray, K. B. (1991). A test of services marketing theory: consumer information acquisition activities. The Journal of Marketing, 55(1), 10-25.
    65. Narayandas, D. (1998). Measuring and managing the benefits of customer retention: An empirical investigation. Journal of Service Research, 1(2), 108-128.
    66. Okada, E. M. (2006). Upgrades and new purchases. Journal of Marketing, 70(4), 92-102.
    67. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
    68. Packard, Vance. (1960). The waste makers. New York: D. McKay Co.
    69. Payne, J. W. (1982). Contingent Decision Behavior. Psychological Bulletin, 92 (2), 382-402.
    70. Payne, J. W., Bettman, J. R., & Johnson, E. J. (1992). Behavioral decision research: A constructive processing perspective. Annual Review of Psychology, 43(1), 87-131.
    71. Peyrot, M., & DOREN, D. (1994). Effect of a class action suit on consumer repurchase intentions. Journal of Consumer Affairs, 28(2), 361-379.
    72. Punj, G. N., & Stewart, D. W. (1983). An interaction framework of consumer decision making. Journal of Consumer Research, 10(2), 181-196.
    73. Reynolds, K. E., Folse, J. A. G., & Jones, M. A. (2006). Search regret: Antecedents and consequences. Journal of Retailing, 82(4), 339-348.
    74. Rosenberg, N. (1976). On technological expectations. The Economic Journal, 86(343), 523-535.
    75. Rosenberg, Nathan (1976), Perspectives on Technology, Cambridge University Press.
    76. Rust, R. T., & Zahorik, A. J. (1993). Customer satisfaction, customer retention, and market share. Journal of Retailing, 69(2), 193-215.
    77. Sánchez Pérez, M., Carlos Gázquez Abad, J., María Marín Carrillo, G., & Sánchez Fernández, R. (2007). Effects of service quality dimensions on behavioural purchase intentions: A study in public-sector transport. Managing Service Quality: An International Journal, 17(2), 134-151.
    78. Shih, E., & Schau, H. J. (2011). To justify or not to justify: the role of anticipated regret on consumers’ decisions to upgrade technological innovations. Journal of Retailing, 87(2), 242-251.
    79. Shugan, Steven M. (1980). The Cost of Thinking. The Journal of Consumer Research, 7(2), 99-111.
    80. Shocker, A. D., & Srinivasan, V. (1979). Multiattribute approaches for product concept evaluation and generation: A critical review. Journal of Marketing Research, 16(2), 159-180.
    81. Smartphone Volumes Decline Slightly in the Second Quarter of 2017 Amid Anticipation of Strong Second Half Product Launches (2017). Retrieved June 2, 2018 from International Data Corporation, https://www.idc.com/getdoc.jsp?containerId=prUS42935817.
    82. Smith, D., & Park, C. W. (1992). The effects of brand extensions on market share and advertising efficiency. Journal of Marketing Research, 29(3), 296–313.
    83. Silk, A. J., & Urban, G. L. (1978). Pre-test-market evaluation of new packaged goods: A model and measurement methodology. Journal of Marketing Research, 171-191.
    84. Sinn, F., Milberg, S. J., Epstein, L. D., & Goodstein, R. C. (2007). Compromising the compromise effect: Brands matter. Marketing Letters, 18(4), 223-236.
    85. Simonson, I. (1989). Choice based on reasons: The case of attraction and compromise effects. Journal of Consumer Research, 16(2), 158-174.
    86. Simonson, I., & Tversky, A. (1992). Choice in context: Tradeoff contrast and extremeness aversion. Journal of Marketing Research, 29(3), 281.
    87. Simonson, I. (1992). The influence of anticipating regret and responsibility on purchase decisions. Journal of Consumer Research, 19(1), 105-118.
    88. Simonson, I., & Nowlis, S. M. (2000). The role of explanations and need for uniqueness in consumer decision making: Unconventional choices based on reasons. Journal of Consumer Research, 27(1), 49-68.
    89. Taiwan: Internet User Metrics, 2017 (2017). Retrieved June 2, 2018 from eMarketer, https://www.emarketer.com/Chart/Taiwan-Internet-User-Metrics-2017/212750.
    90. Taylor, K. (1997). A regret theory approach to assessing consumer satisfaction. Marketing letters, 8(2), 229-238.
    91. Tseng, F. M., & Lo, H. Y. (2011). Antecedents of consumers’ intentions to upgrade their mobile phones. Telecommunications Policy, 35(1), 74-86.
    92. Tsiros, M., & Mittal, V. (2000). Regret: A model of its antecedents and consequences in consumer decision making. Journal of Consumer Research, 26(4), 401-417.
    93. Tversky, A. (1972). Elimination by Aspects: A Theory of Choice. Psychological Review, 79(4), 281-99.
    94. Tushman, M. L., & Nelson, R. R. (1990). Introduction: Technology, organizations, and innovation. Administrative Science Quarterly, 35(1), 1-8.
    95. Venkatesh, Viswanath and Susan A. Brown (2001), A Longitudinal Investigation of Personal Computers in the Home: Adoption Determinants amd Emerging Challenges. MIS Quarterly, 25(1), 75-102.
    96. Wernerfelt, B. (1995). A rational reconstruction of the compromise effect: Using market data to infer utilities. Journal of Consumer Research, 21(4), 627-633.
    97. Weiss, A. M., & John, G. (1989). Leapfrogging behavior and the purchase of industrial innovations: theory and evidence. 89-110
    98. Weiss, A. M. (1994). The effects of expectations on technology adoption: some empirical evidence. The Journal of Industrial Economics, 42(4), 341-360.
    99. Zeelenberg, M., Beattie, J., Van der Pligt, J., & De Vries, N. K. (1996). Consequences of regret aversion: Effects of expected feedback on risky decision making. Organizational Behavior and Human Decision Processes, 65(2), 148-158.
    100. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22.
    101. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. the Journal of Marketing, 60(2), 31-46.
    102. Zineldin, M. (2006). The royalty of loyalty: CRM, quality and retention. Journal of Consumer Marketing, 23(7), 430-437.
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    105351023
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105351023
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.IB.012.2018.F06
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

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