臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：消費者網路購物之再購意圖和轉換意圖前因研究
作者：任明哲
作者(外文)：Ming-Zhe Ren
校院名稱：國立東華大學
系所名稱：企業管理學系
指導教授：池文海
學位類別：博士
出版日期：2020
主題關鍵詞：論點品質；來源可信度；信任賣家；信任獲得的資訊；賣家不確定；產品不確定；負向口碑；再購意圖；轉換意圖；Argument Quality；Source Credibility；Trust in Vendor；Trust-gaining Information；Vendor Uncertainty；Product Uncertainty；Negative Word of Mouth；Repeat Purchase Intention；Switching Intention
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:4
本研究從正向和負向觀點探討影響消費者網路購物行為的前因，先前研究探討網路購物情境下重覆購買意圖和轉換意圖的前因，但是與賣家和資訊信任有關的正向因素以及與賣家和產品不確定有關的負向因素作為再購意圖和轉換意圖的前因甚少被探討。本研究從正向觀點探討與賣家和資訊有關的信任與再購意圖之間的關係，並從負向觀點驗證與賣家和產品有關的不確定對轉換意圖的影響，且探討關係強度在與賣家和產品的不確定和負向口碑間調節效果。研究對象為中國有網路購物經驗的消費者，本研究分兩次分別收集346份和400份有效樣本。本論文經由兩個研究驗證這些關係，發現來源可信度對信任產生的影響比論點品質要強，對資訊的信任比對賣家的信任更容易提高消費者的再購買意圖。產品不確定更能促使消費者產生負向口碑，進而造成轉換意圖。關係強度在賣家不確定和負向口碑及產品不確定和負向口碑間產生負向調節作用。
This research explored the antecedents of consumers’ online shopping intentions from positive and negative perspectives. Although previous research has investigated various antecedents of repeat purchase intention and switching intention in online shopping context for positive factors as trust related to vendor and information and negative factors as uncertainty related to vendor and product as antecedents of repurchase intention and switching intention are rarely explored. This dissertation explored the relationships among trust in vendor, trust-gaining information and repeat purchase intention from positive perspective. Meanwhile, this dissertation also examined the effects of vendor uncertainty and product uncertainty on switching intention from negative perspective and conducted two studies to confirm these relationships with 346 and 400 valid respondents from China, respectively. The results indicated that source credibility of information has a stronger effect on trust than argument quality does. Trust-gaining information has a stronger effect on repeat purchase intention than trust in vendor does. Furthermore, product uncertainty is more likely to lead consumers’ negative word of mouth, which has a positive effect on switching intention. Relationship strength has moderating effects on the relationship between vendor uncertainty and negative word-of-mouth and relationship between product uncertainty and negative word-of-mouth.
1. Abraham, A. T. and Hamilton, R. W. (2018), “When does partitioned
pricing lead to more favorable consumer preferences? Meta-analytic
evidence”, Journal of Marketing Research, Vol. 55, No. 5, pp. 686-703.

2. Ahn, T., Ryu, S. and Han, I. (2007), “The impact of web quality and
playfulness on user acceptance of online retailing”, Information &
Management, Vol. 44, No. 3, pp. 263-275.

3. Akerlof, G. A. (1970), “The market for ‘lemons’: Quality uncertainty
and the market mechanism”, The Quarterly Journal of Economics, Vol.
84, No. 3, pp. 488-500.

4. Alexandrov, A., Lilly, B. and Babakus, E. (2013), “The effects of social-
and self-motives on the intentions to share positive and negative word
of mouth”, Journal of the Academy of Marketing Science, Vol. 41, No.
5, pp. 531-546.

5. Anderson, J. C. and Gerbing, D. W. (1988), “Structural equation
modeling in practice: A review and recommended two-step
approach”, Psychological Bulletin, Vol. 103, No. 3, pp. 411-423.

6. Angelis, M. D., Bonezzi, A., Peluso, A. M., Rucker, D. D. and Costabile,
M. (2012), “On Braggarts and Gossips: A self-enhancement account
of word-of-mouth generation and transmission”, Journal of
Marketing Research, Vol. 49, No. 4, pp. 551-563.

7. Ba, S. and Pavlou, P. (2002), “Evidence of the effect of trust building
technology in electronic markets: Price premiums and buyer
behavior”, MIS Quarterly, Vol. 26, No. 3, pp. 243-268.

8. Baker, A. M., Donthu, N. and Kumar, V. (2016), “Investigating how
word-of-mouth conversations about brands influence purchase and
retransmission intentions”, Journal of Marketing Research, Vol. 53,
No. 2, pp. 225-239.

9. Balaji, M. S., Khong, K. W. and Chong, A. Y. L. (2016), “Determinants of
negative word-of-mouth communication using social networking
sites”, Information & Management, Vol. 53, No. 4, pp. 528-540.

10. Bansal, H. and Taylor, S. (1999), “The service provider a switching
model (SPSM): A model of consumer Switching behavior in the
services industry”, Journal of Service Research, Vol. 2, No. 2, pp. 200-
218.

11. Bansal, H., Taylor, S. and James, Y. (2005), “Migrating’ to new service providers: Toward a unifying framework of consumers’ switching behaviors”, Journal of the Academy of Marketing Science, Vol. 33, No. 1, pp. 96-115.

12. Barry, J. M., Dion, P. and Johnson, W. (2008), “A cross-cultural examination of relationship strength in B2B services”, Journal of Services Marketing, Vol. 22, No. 2, pp. 114-135.

13. Bart, Y., Shankar, V., Sultan, F. and Urban, G. L. (2005), “Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study”, Journal of Marketing, Vol. 69, No. 4, pp. 133-152.

14. Baumgartner, H. and Homburg, C. (1996), “Applications of structural equation modeling in marketing and consumer research: A review”, International Journal of Research in Marketing, Vol. 13, No. 2, pp. 139-161.

15. Beldad, A., de Jong, M. and Steehouder, M. (2010), “How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust”, Computers in Human Behavior, Vol. 26, Issue 5, pp. 857-869.

16. Bentler, P. M. and Wu, E. J. C. (1993), EQS/Windows User Guide, BMDP Statistical Software, Los Angeles, CA.

17. Berger, J. (2014), “Word of mouth and interpersonal communication: A functional view and directions for future research”, Journal of Consumer Psychology, Vol. 24, No. 4, pp. 587-607.

18. Berger, J. and Iyengar, R. (2013), “Communication channels and word of mouth: How the medium shapes the message”, Journal of Consumer Research, Vol. 40, No. 3, pp. 567-579.

19. Berger, J. and Schwartz, E. M. (2011), “What drives immediate and ongoing word of mouth?”, Journal of Marketing Research, Vol. 49, No. 5, pp. 869-880.

20. Bhattacherjee, A. (2001a), “Understanding information systems continuance: An expectation- confirmation model”, MIS Quarterly, Vol. 25, No. 3, pp. 351-370.

21. Bhattacherjee, A. and Sanford, C. (2006), “Influence processes for information technology acceptance: An Elaboration Likelihood Model”, MIS Quarterly, Vol. 30, No. 4, pp. 805-825.

22. Blodgett, J. G., Granbois, D. H. and Walters, R. G. (1993), “The effects of perceived justice on complainants’ negative word-of-mouth behavior and repatronage intentions”, Journal of Retailing, Vol. 69, No. 4, pp. 399-428.

23. Brannon, D. C. and Samper, A. (2018), “Maybe I just got (Un)lucky: One-on-one conversations and the malleability of post-consumption product and service evaluations”, Journal of Marketing Research, Vol. 45, No. 4, pp. 810-832.

24. Brown, T. J., Barry, T. E., Dacin, P. A. and Gunst, R. F. (2005), “Spreading the word: Investigating antecedents of consumers' positive Word-of-Mouth intentions and behaviors in a retailing context”, Journal of the Academy of Marketing Science, Vol. 33, No. 2, pp.123-138.

25. Buttle, F. A. (1998), “Word of mouth: Understanding and managing referral marketing”, Journal of Strategic Marketing, Vol. 6, No. 3, pp. 241-254.

26. Calvo-Porral, C., Faíña-Medín, A. and Nieto-Mengotti, M. (2017), “Satisfaction and switching intention in mobile services: Comparing lock-in and free contracts in the Spanish market”, Telematics and Informatics, Vol. 34, No. 5, pp. 717-729.

27. Carpenter, C. (2015), “A meta-analysis of the ELM’s argument quality processing type predictions”, Human Communication Research, Vol. 41, No. 4, pp. 501-534.

28. Casidy, R. and Shin, H. (2015), “The effects of harm directions and service recovery strategies on customer forgiveness and negative word-of-mouth intentions”, Journal of Retailing and Consumer Services, Vol. 27, No. 6, pp. 103-112.

29. Celsi, R. L. and Olson, J. C. (1988), “The role of involvement in attention and comprehension processes”, Journal of Consumer Research, Vol. 15, No. 2, pp. 210-224.

30. Chan, H. and Cui, S. (2011), “The contrasting effects of negative word of mouth in the post-consumption stage”, Journal of Consumer Psychology, Vol. 21, No. 3, pp. 324-337.

31. Chau, P. Y. K., Hu, P. J. H., Lee, B. L. P. and Au, A. K. K. (2007), “Examining customers’ trust in online vendors and their dropout decisions: An empirical study”, Electronic Commerce Research and Applications, Vol. 6, No. 2, pp. 171-182.

32. Chen, A. H., Lu, Y. B. and Wang, B. (2017), “Customers’ purchase decision-making process in social commerce: A social learning perspective”, International Journal of Information Management, Vol. 37, No. 6, pp. 627-638.

33. Chen, X. Y., Huang, Q. and Davison, R. M. (2017), “The role of website quality and social capital in building buyers’ loyalty”, International Journal of Information Management, Vol. 37, No. 1, pp. 1563-1574.

34. Cheung, C. M., Lee, M. K. and Rabjohn, N. (2008), “The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities”, Internet Research, Vol. 18, No. 3, pp. 229-247.

35. Cheung, C. M., Sia, C. L. and Kuan, K. (2012), “Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective”, Journal of the Association for Information Systems, Vol. 13, No. 8, pp. 618-635.

36. Cheung, C. M. K. and Thadani, D. R. (2012), “The impact of electronic word-of-mouth communication: A literature analysis and integrative mode”, Decision Support Systems, Vol. 54, No. 1, pp. 461-470.

37. Cheung, M. Y., Luo, C., Sia, C. L. and Chen, H. (2009), “Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations”, International Journal of Electronic Commerce, Vol. 13, No. 4, pp. 9-38.

38. Chin, W. W. (1998), “The partial least squares approach to structural equation modeling”, In MarCoulidies, G. A. (Ed.), Modern Methods for Business Research (pp. 295-336), Lawrence Erlbaum, Mahwah, NJ.

39. China Internet Association (2019), “Development of e-commerce in China”, China Internet Report, Retrieved July 11, 2019 from http://www.sohu.com/a/32 6269234_120106425.

40. Chiu, C. M., Chang, C. C., Cheng, H. L. and Fang, Y. H. (2009), “Determinants of customer repurchase intention in online shopping”, Online Information Review, Vol. 33, No. 4, pp. 761-784.

41. Chiu, C. M., Hsu, M. H., Lai, H. and Chang, C. M. (2012), “Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents”, Decision Support Systems, Vol. 53, No. 4, pp. 835-845.

42. Cho, B. I. K. and Matsui, A. (2018), “Search, adverse selection, and market clearing”, International Economic Review, Vol. 59, No. 3, pp. 1437-1466.

43. Cho, J. (2004), “Likelihood to abort an online transaction: Influences from cognitive evaluations, attitudes, and behavioral variables”, Information & Management, Vol. 41, No. 7, pp. 827-838.

44. Chou, C. H., Wang, Y. S. and Tang, T. I. (2015), “Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective”, International Journal of Information Management, Vol. 35, No. 3, pp. 364-376.

45. Chou, S. W. and Hsu, C. S. (2016), “Understanding online repurchase intention: Social Exchange Theory and shopping habit”, Information Systems and e-Business Management, Vol. 14, No. 1, pp. 19-45.

46. Chu, S. C. and Kamal, S. (2008), “The effect of perceived blogger credibility and argument quality on message elaboration and brand attitudes: An exploratory study”, Journal of Interactive Advertising, Vol. 8, No. 2, pp. 26-37.

47. Chung, C. M. Y. and Darke, P. R. (2006), “The consumer as advocate: Self-relevance, culture, and word-of-mouth”, Marketing Letters, Vol. 17, No. 4, pp. 269-279.

48. Cyr, D., Head, M., Lim, E. and Stibe, A. (2018), “Using the elaboration likelihood model to examine online persuasion through website design”, Information & Management, Vol. 55, No. 7, pp. 807-821.

49. Dadzie, K. Q., Chelariu, C. and Winston, E. (2005), “Customer service in the internet-enabled logistics supply chain: Website design antecedents and loyalty effects”, Journal of Business Logistics, Vol. 26, No. 1, pp. 53-78.

50. Dagger, T. S., Danaher, P. J. and Gibbs, B. J. (2009), “How often versus how long the interplay of contact frequency and relationship duration in customer-reported service relationship strength”, Journal of Service Research, Vol. 11, No. 4, pp. 371-388.

51. De Cannière, M. H., De Pelsmacker, P. and Geuens, M. (2010), “Relationship quality and purchase intention and behavior: The moderating impact of relationship strength”, Journal of Business and Psychology, Vol. 25, No. 1, pp. 87-98.

52. Devaraj, S., Fan, M. and Kohli, R. (2002), “Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics”, Information Systems Research, Vol. 13, No. 3, pp. 316-333.

53. Dimoka, A., Hong, Y. L. and Pavlou, P. A. (2012), “On product uncertainty in online markets: Theory and evidence”, MIS Quarterly, Vol. 36, No. 2, pp. 395-426.

54. Dimoka, A. and Pavlou, P. A. (2008), “Understanding and mitigating product uncertainty in online auction marketplaces”, Proceeding of the 2008 Sloan Industry Studies Conference, Industry Studies Association, Chicago, IL.

55. Donaldson, B. and O’Toole, T. (2000), “Classifying relationship structures: Relationship strength in industrial markets”, Journal of Business & Industrial Marketing, Vol. 15, No. 7, pp. 491-506.

56. Dubois, D., Bonezzi, A. and De Angelis, M. (2016), “Sharing with friends versus strangers: How interpersonal closeness influences word-of-mouth valence”, Journal of Marketing Research, Vol. 53, No. 5, pp. 712-727.

57. East, R., Hammond, K. and Lomax, W. (2008), “Measuring the impact of positive and negative word of mouth on brand purchase probability”, International Journal of Research in Marketing, Vol. 25, No. 3, pp. 215-224.

58. Eichhorn, B. R. (2014), “Common method variance techniques”, Retrieved December 20, 2016 from http://www.sascommunity.org/mwiki/images/3/36/MWSUG_2014_2.pdf.

59. Etikan, Musa, S. A. and Alkassim, R. S. (2016), “Comparison of Convenience Sampling and Purposive Sampling”, American Journal of Theoretical and Applied Statistics, Vol. 5, No. 1, pp. 1-4.

60. Fabrigar, L. R., Porter, R. D. and Norris, M. E. (2010), “Some things you should know about structural equation modeling but never thought to ask”, Journal of Consumer Psychology, Vol. 20, No. 2, pp. 221-225.

61. Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E. and Lim, K. (2014), “Trust, satisfaction, and online repurchase intention: The moderating role of perceived effectiveness of e-commerce institutional mechanisms”, MIS Quarterly, Vol. 38, No. 2, pp. 407-427.

62. Filieri, R. (2016), “What makes an online consumer review trustworthy?” Annals of Tourism Research, Vol. 58, No. C, pp. 46-64.

63. Filieri, R., Alguezaui, S. and McLeay, F. (2015), “Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth”, Tourism Management, Vol. 51, No. C, pp. 174-185.

64. Filieri, R. and McLeay, F. (2013), “E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews”, Journal of Travel Research, Vol. 53, No. 1, pp. 44-57.

65. Flanagin, A. J. and Metzger, M. J. (2007), “The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information”, New Media & Society, Vol. 9, No. 2, pp. 319-342.

66. Fornell, C. and Larcker, D. F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, No. 2, pp. 39-50.

67. Gázquez-Abad, J. C., De Canniére, M. H. and Martínez-López, F. J. (2011), “Dynamics of customer response to promotional and relational direct mailings from an apparel retailer: The moderating role of relationship strength”, Journal of Retailing, Vol. 87, No. 2, pp. 166-181.

68. Gefen, D. (2000), “E-commerce: The role of familiarity and trust”, Omega, Vol. 28, No. 6, pp. 725-737.

69. Gefen, D., Karahanna, E. and Straub, D. W. (2003), “Trust and TAM in online shopping: An integrated model”, MIS Quarterly, Vol. 27, No. 1, pp. 51-90.

70. Gefen, D. and Straub, D. W. (2004), “Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services”, Omega, Vol. 32, No. 6, pp. 407-424.

71. Gershkov, A. and Perry, M. (2012), “Dynamic contracts with moral hazard and adverse selection”, Review of Economic Studies, Vol. 79, No. 1, pp. 268-306.

72. Ghose, A. (2009), “Internet exchanges for used goods: An empirical analysis of trade patterns and adverse selection”, MIS Quarterly, Vol. 33, No. 2, pp. 163-291.

73. Grégoire, Y. and Fisher, R. J. (2006), “The effects of relationship quality on customer retaliation”, Marketing Letters, Vol. 17, No. 1, pp. 31-46.

74. Grégoire, Y., Laufer, D. and Tripp, T. M. (2010), “A comprehensive model of customer direct and indirect revenge: Understanding the effects of perceived greed and customer power”, Journal of the Academy Marketing Science, Vol. 38, No. 6, pp. 738-758.

75. Grégoire, Y., Tripp, T. M. and Legoux, R. (2009), “When customer love turns into lasting hate: The effects of relationship strength and time on customer revenge and avoidance”, Journal of Marketing, Vol. 73, No. 6, pp. 18-32.

76. Grewal, L. and Stephen, A. T. (2019), “In mobile we trust: The effects of mobile versus nonmobile reviews on consumer purchase intentions”, Journal of Marketing Research, Vol. 56, No. 5, pp. 791-808.

77. Gupta, P., Yadav, M. S. and Varadarajan, R. (2009), “How task-facilitative interactive tools foster buyers’ trust in online retailers: A process view of trust development in the electronic marketplace”, Journal of Retailing, Vol. 85, No. 2, pp. 159-176.

78. Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E. (2010), Multivariate Data Analysis (5th Ed.), Pearson Prentice-Hall, Upper Saddle River, NJ.

79. Hallikainen, H. and Laukkanen, H. (2018), “National culture and consumer trust in e-commerce”, International Journal of Information Management, Vol. 38, No. 1, pp. 97-106.

80. Han, H., Kim, W. and Hyun, S. S. (2011), “Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry”, International Journal of Hospitality Management, Vol. 30, No. 3, pp. 619-629.

81. Hassan, S. O. and AbouAish, E. M. (2018), “The impact of strategic vs. tactical cause-related marketing on switching intention”, International Review on Public and Nonprofit Marketing, Vol. 15, No. 3, pp. 253-314.

82. Hayes, A. F. (2013), Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach, Guilford Press, New York, NY.

83. Hayes, A. F., Montoya, A. K. and Rockwood, N. J. (2017), “The analysis of mechanisms and their contingencies: Process versus structural equation modeling”, Australasian Marketing Journal, Vol. 25, No. 1, pp. 76-81.

84. Hellier, P., Geursen, G., Carr, R. and Rickard, J. (2003), “Customer repurchase intention: A general structural equation model”, European Journal of Marketing, Vol. 37, No. 11, pp. 1762-1800.

85. Hewett, K., Money, R. B. and Sharma, S. (2006), “National culture and industrial buyer-vendor relationships in the United States and Latin America”, Journal of the Academy of Marketing Science, Vol. 34, No. 3, pp. 386-402.

86. Hoffmann, C. P., Lutz, C. and Meckel, M. (2014), “Digital natives or digital immigrants? The impact of user characteristics on online trust” Journal of Management Information Systems, Vol. 31, No. 3, pp. 138-171.

87. Hollenbeck, B. (2018), “Online reputation mechanisms and the decreasing value of chain affiliation”, Journal of Marketing Research, Vol. 55, No. 5, pp. 636-654.

88. Hong, I. B. and Cho, H. (2011), “The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust”, International Journal of Information Management, Vol. 31, No. 5, pp. 469-479.

89. Hong, Y. and Pavlou, P. A. (2014), “Product fit uncertainty in online markets: Nature, effects, and antecedents”, Information Systems Research, Vol. 25, No. 2, pp. 328-344.

90. Hsu, H. Y. and Tsou, H. T. (2011), “Understanding customer experiences in online blog environments”, International Journal of Information, Vol. 31, No. 6, pp. 510-523.

91. Hsu, M. H., Chang, C. M., Chu, K. K. and Lee, Y. J. (2014), “Determinants of repurchase intention in online group-buying: The perspectives of DeLone & McLean IS success model and trust”, Computers in Human Behavior, Vol. 36, pp. 234-245.

92. Hsu, M. H., Chuang, L. W. and Hsu, C. S. (2013), “Understanding online shopping intention: The roles of four types of trust and their antecedents”, Internet Research, Vol. 24, No. 3, pp. 332-352.

93. Hu, N., Pavlou, P. A. and Zhang, J. (2017), “On self-selection biases in online product reviews”, MIS Quarterly, Vol. 41, No. 2, pp. 449-471.

94. Hu, X. R., Wu, G. H., Wu, Y. H. and Zhang, H. (2010), “The effects of Web assurance seals on consumers’ initial trust in an online vendor: A functional perspective”, Decision Support Systems, Vol. 48, No. 2, pp. 407-418.

95. Huang, A. H. and Yen, D. C. (2013), “Predicting the helpfulness of online reviews – A replication”, International Journal of Human–Computer, Vol. 29, No. 2, pp. 129-138.

96. Hume, M., Mort, G. S. and 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, Vol. 12, No. 2, pp. 135-148.

97. Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A. and Yang, J. Z. (2017), “eWOM source credibility, perceived risk and food product customer’s information adoption”, Computers in Human Behavior, Vol. 66, pp. 96-102.

98. Hwang, I. and Kwon, H. (2016), “Effects of demotion in loyalty programs on brand-switching intentions”, Service Business, Vol. 10, No. 3, pp. 489-505.

99. Iacobucci, D. (2010), “Structural equations modeling: Fit indices, sample size, and advanced topics”, Journal of Consumer Psychology, Vol. 20, No. 1, pp. 90-98.

100. Jarvenpaa, S. L., Tractinsky, N. and Vitale, M. (2000), “Consumer trust in an internet store”, Information Technology and Management, Vol. 1, No. 1, pp. 45-71.

101. Johnson, T. J. and Kaye, B. K. (2015), “Reasons to believe: Influence of credibility on motivations for using social networks”, Computers in Human Behavior, Vol. 50, pp. 544-555.

102. Ju, C. H. and Tao, W. Q. (2017), “A novel relationship strength model for online social networks”, Multimedia Tools and Applications, Vol. 76, No. 16, pp. 17577-17594.

103. Keaveney, S. M. (1995), “Customer switching behavior in service industries: An exploratory study”, Journal of Marketing, Vol. 59, No. 2, pp. 71-82.

104. Keaveney, S. M. and 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, Vol. 29, No. 4, pp. 374-390.

105. Khalifa, M. and Liu, V. (2007), “Online consumer retention: Contingent effects of online shopping habit and online shopping experience”, European Journal of Information Systems, Vol. 16, No. 6, pp. 780-792.

106. Kim, D. and Benbasat, I. (2009), “Trust-assuring arguments in B2C e-commerce: Impact of content, source, and price on trust”, Journal of Management Information Systems, Vol. 26, No. 3, pp. 175-206.

107. Kim, D. J., Ferrin, D. L. and Rao, H. R. (2008), “A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents”, Decision Support Systems, Vol. 44, No. 2, pp. 544-564.

108. Kim, S., Kandampully, J. and Bilgihan, A. (2018), “The influence of eWOM communications: An application of online social network framework”, Computers in Human Behavior, Vol. 80, pp. 243-254.

109. Kim, S. and Park, H. (2013), “Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance”, International Journal of Information Management, Vol. 33, No. 2, pp. 318-332.

110. Kim, Y. and Krishnan, R. (2015), “On product-level uncertainty and online purchase behavior: An empirical analysis”, Management Science, Vol. 61, No. 10, pp. 2449-2467.

111. King, R. A., Racherla, P. and Bush, V. D. (2014), “What we know and don’t know about online word-of-mouth: A review and synthesis of the literature”, Journal of Interactive Marketing, Vol. 28, No. 3, pp. 167-183.

112. Ko, D. G., Kirsch, L. J. and King, W. R. (2005), “Antecedents of knowledge transfer from consultants to clients in enterprise system implementations”, MIS Quarterly, Vol. 29, No. 1, pp. 59-85.

113. Koroleva, K. and Kane, G. C. (2017), “Relational affordances of information processing on Facebook”, Information & Management, Vol. 54, No. 5, pp. 560-572.

114. Kozlenkova, I. V., Palmatier, R. W., Fang, E., Xiao, B. and Huang, M. X. (2017), “Online relationship formation”, Journal of Marketing, Vol. 81, No. 3, pp. 21-40.

115. Lau, G. T. and Ng, S. (2001), “Individual and situational factors influencing negative word-of-mouth behavior”, Canadian Journal of Administrative Sciences, Vol. 18, No. 3, pp. 163-178.

116. Lee, C. H., Eze, U. C. and Ndubisi, N. O. (2011), “Analyzing key determinants of online repurchase intentions”, Asia Pacific Journal of Marketing and Logistics, Vol. 23, No. 2, pp. 200-221.

117. Lee, R. and Romaniuk, J. (2009), “Relating switching costs to positive and negative word-of-mouth”, Journal of Consumer Satisfaction, Vol. 22, pp. 54-67.

118. Lembregts, C. and Pandelaere, M. (2019), “Falling back on numbers: When preference for numerical product information increases after a personal control threat”, Journal of Marketing Research, Vol. 56, No. 1, pp. 104-122.

119. Li, C. Y. (2015), “The effects of source credibility and argument quality on employees’ responses toward information system usage”, Asia Pacific Management Review, Vol. 20, No. 2, pp. 56-64.

120. Liang, L. J., Choi, H. C. and Joppe, M. (2018), “Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb”, International Journal of Hospitality Management, Vol. 69, pp. 41-48.

121. Liao, C., Palvia, P. and Lin, H. N. (2006), “The roles of habit and web site quality in e-commerce”, International Journal of Information Management, Vol. 26, No. 6, pp. 469-483.

122. Lin, J. B., Yan, Y. M., Chen, S. J. and Luo, X. (2017), “Understanding the impact of social commerce website technical features on repurchase intention: A Chinese Guanxi perspective”, Journal of Electronic Commerce Research, Vol. 18, No. 3, pp. 225-244.

123. Lin, T. C. and Huang, S. L. (2014), “Understanding the determinants of consumers’ switching intentions in a standards war”, International Journal of Electronic Commerce, Vol. 19, No. 1, pp. 163-189.

124. Lindell, M. K. and Whitney, D. J. (2001), “Accounting for common method variance in cross-sectional research designs”, Journal of Applied Psychology, Vol. 86, No. 1, pp. 114-121.

125. Lu, B., Fan, W. and Zhou, M. (2016), “Social presence, trust, and social commerce purchase intention: An empirical research”, Computers in Human Behavior, Vol. 56, No. C, pp. 225-237.

126. Lu, Y. B., Zhao, L. and Wang, B. (2010), “From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention”, Electronic Commerce Research and Applications, Vol. 9, No. 4, pp. 346-360.

127. Luo, C., Luo, X., Schatzberg, L. and Sia, C. L. (2013), “Impact of informational factors on online recommendation credibility: The moderating role of source credibility”, Decision Support Systems, Vol. 56, No. 1, pp. 92-102.

128. Luo, C., Luo, X., Xu, Y., Warkentin, M. and Sia, C. L. (2015), “Examining the moderating role of sense of membership in online review evaluations”, Information & Management, Vol. 52, No. 3, pp. 305-316.

129. Luo, C., Wu, J., Shi, Y. and Xu, Y. (2014), “The effects of individualism-collectivism cultural orientation on eWOM information”, International Journal of Information Management, Vol. 34, No. 4, pp. 446-456.

130. Luo, J., Ba, S. and Zhan, H. (2012), “The effectiveness of online shopping characteristics and well-designed websites on satisfaction”, MIS Quarterly, Vol. 36, No. 4, pp. 1131-1144.

131. Luo, X., Li, H., Zhang, J. and Shim, J. P. (2010), “Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services”, Decision Support Systems, Vol. 49, No. 2, pp. 222-234.

132. Mahajan, V., Muller, E. and Kerin, R. A. (1984), “Introduction strategy for new products with positive and negative word-of-mouth”, Management Science, Vol. 30, No. 12, pp. 1389-1404.

133. Maier, E. (2019), “The negative effect of product image inconsistency on product overviews during the online product search”, International Journal of Electronic Commerce, Vol. 23, No. 1, pp. 110-143.

134. Matt, C. and Hess, T. (2016), “Product fit uncertainty and its effects on vendor choice: An experimental study”, Electronic Markets, Vol. 26, No. 1, pp. 83-93.

135. Mayer, R. C. and Davis, J. H. (1995), “An integrative model of organizational trust”, Academy of Management Review, Vol. 20, No. 3, pp. 709-734.

136. McGinnies, E. and Ward, C. D. (1980), “Better liked than right: Trustworthiness and expertise as factors in credibility”, Personality and Social Psychology Bulletin, Vol. 6, No. 3, pp. 467-472.

137. McKnight, D. H., Choudhury, V. and Kacmar, C. (2002), “Developing and validating trust measures for e-commerce: An integrative typology”, Information Systems Research, Vol. 13, No. 3, pp. 334-359.

138. McKnight, D. H., Kacmar, C. J. and Choudhury, V. (2004), “Shifting factors and the ineffectiveness of third party assurance seals: A two‐stage model of initial trust in a web business”, Electronic Markets, Vol. 14, No. 3, pp. 252-266.

139. Nelson, P. (1970), “Information and consumer behavior”, Journal of Political Economy, Vol. 78, No. 2, pp. 311-329.

140. Nguyen, D. H., Leeuw, S. D. and Dullaert, W. E. (2018), “Consumer behavior and order fulfillment in online retailing: A systematic review”, International Journal of Management Reviews, Vol. 20, No. 2, pp. 255-276.

141. Ngwe, D., Ferreira, K. J. and Teixeira, T. (2019), “The impact of increasing search frictions on online shopping behavior: Evidence from a field experiment”, Journal of Marketing Research, Vol. 56, No. 6, pp. 944-959.

142. Nicolaou, A. I. and McKnight, D. H. (2006), “Perceived information quality in data exchanges: Effects on risk, trust, and intention to use”, Information Systems Research, Vol. 17, No. 4, pp. 332-351.

143. Nunnally, J. C. (1979), Psychometric Theory, McGraw-Hill, New York, NY.

144. Ortega, B. H. (2018), “Don’t believe strangers: Online consumer reviews and the role of social psychological distance”, Information & Management, Vol. 55, No. 1, pp. 31-50.

145. Otim, S. and Grover, V. (2006), “An empirical study on web-based services and customer loyalty”, European Journal of Information Systems, Vol. 15, No. 6, pp. 527-542.

146. Ou, C. X. and Sia, C. L. (2010), “Consumer trust and distrust: An issue of website design”, International Journal of Human-Computer Studies, Vol. 68, No. 12, pp. 913-934.

147. Palese, B. and Usai, A. (2018), “The relative importance of service quality dimensions in E-commerce experiences”, International Journal of Information Management, Vol. 40, No. 3, pp. 132-140.

148. Pappas, N. (2016), “Marketing strategies, perceived risks, and consumer trust in online buying behavior”, Journal of Retailing and Consumer Services, Vol. 29, No. C, pp. 92-103.

149. Park, D. H., Lee, J. and Han, I. (2007), “The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement”, International Journal of Electronic Commerce, Vol. 11, No. 4, pp. 125-148.

150. Paul, D. L. and McDaniel, R. R. Jr. (2004), “A field study of the effect of interpersonal trust on virtual collaborative relationship performance”, MIS Quarterly, Vol. 28, No. 2, pp. 183-227.

151. Pavlou, P. A. (2003), “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model”, International Journal of Electronic Commerce, Vol. 7, No. 3, pp. 101-134.

152. Pavlou, P. A. and Fygenson, M. (2006), “Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior”, MIS Quarterly, Vol. 30, No.1, pp. 115-143.

153. Pavlou, P. A. and Gefen, D. (2004), “Building effective online marketplaces with institution-based trust”, Information Systems Research, Vol. 15, No. 1, pp. 37-59.

154. Pavlou, P. A., Liang, H. and Xue, Y. (2007), “Understanding and mitigating uncertainty in online environments: An agency theory perspective”, MIS Quarterly, Vol. 31, No. 1, pp. 105-136.

155. Petty, R. E. and Cacioppo, J. T. (1986), “The Elaboration Likelihood Model of persuasion”, In Berkowitz, L. (Ed.), Advances in Experimental Social Psychology (Vol. 19, pp. 123-162), Academic Press, New York, NY.

156. Petty, R. E., Cacioppo, J. T. and Goldman, R. (1981), “Personal involvement as a determinant of argument-based persuasion”, Journal of Personality and Social Psychology, Vol. 41, No. 5, pp. 847-855.

157. Picard, P. (2019), “Equilibrium in insurance markets with adverse selection when insurers pay policy dividends”, The Journal of Risk and Insurance, Vol. 86, No. 4, pp. 887-914.

158. Pick, D. and Eisend, M. (2014), “Buyers’ perceived switching costs and switching: A meta-analytic assessment of their antecedents”, Journal of the Academy Science, Vol. 42, No. 2, pp. 186-204.

159. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y. and Podsakoff, N. P. (2003), “Common method biases in behavioral research: A critical review of the literature and recommended remedies”, Journal of Applied Psychology, Vol. 88, No. 5, pp. 879-903.

160. Pollack, B. L. (2016), “Effects of exit barriers on word of mouth activities”, Journal of Services Marketing, Vol. 31, No. 6, pp. 512-526.

161. Pornpitapan, C. (2004), “The persuasiveness of source credibility: A critical review of five decades’ evidence”, Journal of Applied Social Psychology, Vol. 34, No. 2, pp. 243-281.

162. Qureshi, I., Fang, Y., Ramsey, E., McCole, P., Ibbotson, P. and Compeau, D. (2009), “Understanding online customer repurchasing intention and the mediating role of trust – An empirical investigation in two developed countries”, European Journal of Information Systems, Vol. 18, No. 3, pp. 205-222.

163. Ransbotham, S., Lurie, N. H. and Liu, H. (2019), “Creation and consumption of mobile word of mouth: How are mobile reviews different?” Marketing Science, Vol. 38, No. 5, pp. 773-792.

164. Reichelt, J., Sievert, J. and Jacob, F. (2014), “How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions”, Journal of Marketing Communications, Vol. 20, No. 1/2, pp. 65-81.

165. Revilla-Camacho, M., Vega-Vázquez, M. and Cossío-Silva, F. (2017), “Exploring the customer’s intention to switch firms: The role of customer-related antecedents”, Psychology Marking, Vol. 34, No. 11, pp. 1039-1049.

166. Rice, S. C. (2012), “Reputation and uncertainty in online markets: An experimental study”, Information Systems Research, Vol. 23, No. 2, pp. 436-452.

167. Ridings, C. M., Gefen, D. and Arinze, B. (2002), “Some antecedents and effects of trust in virtual communities”, Journal of Strategic Information Systems, Vol. 11, No. 3/4, pp. 271-295.

168. Riedl, R., Hubert, M. and Kenning, P. (2010), “Are there neural gender differences in online trust? An fMRI study on the perceived trustworthiness of eBay offers”, MIS Quarterly, Vol. 34, No. 2, pp. 397-428.

169. Rosario, A. B., Sotgiu, F., Valck, K. D. and Bijmolt, T. H. A. (2016), “The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors”, Journal of Marketing Research, Vol. 53, No. 3, pp. 297-318.

170. Shan, Y. (2016), “How credible are online product reviews? The effects of self-generated and system-generated cues on source credibility evaluation”, Computers in Human Behavior, Vol. 55, No. B, pp. 633-641.

171. Shen, H. and Sengupta, J. S. (2018), “Word of mouth versus word of mouse: Speaking about a brand connects you to it more than writing does”, Journal of Consumer Research, Vol. 45, No. 3, pp. 595-614.

172. Shin, S. Y., Heide, B. V. D., Beyea, D., Dai, Y. and Prchal, B. (2017), “Investigating moderating roles of goals, reviewer similarity, and self-disclosure on the effect of argument quality of online consumer reviews on attitude formation”, Computers in Human Behavior, Vol. 76, No. C, pp. 218-226.

173. Suhaily, L. and Soelasih, Y. (2017), “What effects repurchase intention of online shopping”, International Business Research, Vol. 10, No. 12, pp. 113-122.

174. Sullivan, Y. and Kim, D. (2018), “Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments”, International Journal of Information Management, Vol. 39, pp. 199-219.

175. Sussman, S. W. and Siegal, W. S. (2003), “Informational influence in organizations: An integrated approach to knowledge adoption”, Information Systems Research, Vol. 14, No. 1, pp. 47-65.

176. Tang, H. and Lin, X. W. (2018), “Curbing shopping cart abandonment in C2C markets –An uncertainty reduction approach”, Electronic Markets, Vol. 29, No. 3, pp. 533-552.

177. Thong, Y. L., Hong, S. J. and Tam, K. Y. (2006), “The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance”, International Journal of Human-Computer Studies, Vol. 64, No. 9, pp. 799-810.

178. Tsai, H. T., Huang, H. C., Jaw, Y. L. and Chen, W. K. (2006), “Why on-line customers remain with a particular e-retailer: An integrative model and empirical evidence”, Psychology & Marketing, Vol. 23, No. 5, pp. 447-464.

179. Tsao, W. Y. (2013), “The fitness of product information: Evidence from online recommendations”, International Journal of Information Management, Vol. 33, No. 1, pp. 1-9.

180. Tseng, F. C. and Kuo, F. Y. (2010), “The way we share and learn: An exploratory study of the self-regulatory mechanisms in the professional online learning community”, Computers in Human Behavior, Vol. 26, Issue 5, pp. 1043-1053.

181. Tseng, S. Y. and Wang, C. N. (2016), “Perceived risk influence on dual-route information adoption processes on travel websites”, Journal of Business Research, Vol. 69, Issue 6, pp. 2289-2296.

182. Umashankar, N., Ward, M. K. and Dahl, D. W. (2017), “The benefit of becoming friends: Complaining after service failures leads customers with strong relationship to increase loyalty”, Journal of Marketing, Vol. 81, No. 6, pp. 79-98.

183. Venkatesh, V., Aloysius, J. A., Hoehle, H. and Burton, S. (2017), “Design and evaluation of Auto-ID enabled shopping assistance artifacts in customers’ mobile phones: Two retail store laboratory experiments”, MIS Quarterly, Vol. 41, No. 1, pp. 83-113.

184. Wang, H. C. and Doong, H. S. (2010), “Argument form and spokesperson type: The recommendation strategy of virtual salespersons”, International Journal of Information Management, Vol. 30, No. 6, pp. 493-501.

185. Wang, Q. Z., Cui, X. L., Huang, L. Q. and Dai, Y. L. (2016), “Vendor reputation or product presentation? An empirical investigation from cue utilization perspective”, International Journal of Information Management, Vol. 36, No. 3, pp. 271-283.

186. Wang, Y., Li, M., Feng, H. and Feng, N. (2019), “Optimal sequential releasing strategy for software products in the presence of word‑of‑mouth and requirements uncertainty”, Information Technology and Management, Vol. 20, No. 3, pp. 153-174.

187. Westbrook, R. A. (1987), “Product/consumption-based affective responses and post-purchase processes”, Journal of Marketing Research, Vol. 24, No. 3, pp. 258-270.

188. Wetzer, I. M., Zeelenberg, M. and Pieters, R. (2007), “Never eat in that restaurant, I did: Exploring why people engage in negative word-of-mouth communication”, Psychology & Marketing, Vol. 24, No. 8, pp. 661-680.

189. Willams, M. and Buttle, F. (2014), “Managing negative word-of-mouth: An exploratory study”, Journal of Marketing Management, Vol. 30, No. 13, pp. 1423-1447.

190. Woodruff, B. B., Cadotte, E. R. and Jenkins, R. L. (1983), “Modeling consumer satisfaction processes using experience-based norms”, Journal of Marketing Research, Vol. 20, No. 3, pp. 296-304.

191. Wu, I. L. (2013), “The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust”, International Journal of Information Management, Vol. 33, No. 1, pp. 166-176.

192. Wu, J., Wu, Y., Sun, J. and Yang, Z. (2013), “User reviews and uncertainty assessment: A two stage model of consumers’ willingness-to-pay in online markets”, Decision Support Systems, Vol. 55, No. 1, pp. 175-185.

193. Wu, L. Y., Chen, K. Y., Chen, P. Y. and Cheng, S. L. (2014), “Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective”, Journal of Business Research, Vol. 67, Issue 1, pp. 2768-2776.

194. Xiang, R., Neville, J. and Rotati, M. (2010), “Modeling relationship strength in online social networks”, Proceedings of the 19th International Conference on World Wide Web (WWW’ 2010) (pp. 228-229), April 26-30, ACM Press, New York, NY:

195. Yang, Z., Zhang, H. and Xie, E. (2017), “Relative buyer-supplier relational strength and supplier’s information sharing with the buyer”, Journal of Business Research, Vol. 78, pp. 303-313.

196. Yi, M. Y., Yoon, J. J., Davis, J. M. and Lee, T. (2013), “Untangling the antecedents of initial trust in web-based health information: The roles of argument quality, source expertise, and user perceptions of information quality and risk”, Decision Support Systems, Vol. 55, No. 1, pp. 84-295.

197. Yoon, H. S. and Occeña, L. G. (2015), “Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age”, International Journal of Information Management, Vol. 35, No. 3, pp. 352-363.

198. Zhang, W. and Watts, S. A. (2008), “Capitalizing on content: Information adoption in two online communities”, Journal of the Association for Information Systems, Vol. 9, No. 2, pp. 73-94.

199. Zhu, D. H., Chang, Y. P. and Luo, J. J. (2016), “Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model”, Telematics and Informatics, Vol. 33, No. 1, pp. 8-16.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：888（臺灣：884，外國：4） ／ 本年度總使用人次：1695817 ／ 訪客人次（自102年09月）：67496550
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上