TÀI LIỆU THAM KHẢO

Một phần của tài liệu Nghiên cứu tác động của truyền miệng điện tử (ewom) đến ý định mua hàng của người tiêu dùng trên nền tảng thương mại trực tuyến trong bối cảnh đại dịch covid 19 (Trang 97 - 117)

TÀI LIỆU TIẾNG VIỆT

1. Đào Thị Thu Hường (2017), Sử dụng thuyết hành vi dự định (TPB) để đo lường ảnh hưởng của eWOM (eWOM) đến ý định lựa chọn điểm đến Thành phố Đà Nẵng của khách du lịch.

2. Trần Thọ Đạt & Tô Trung Thành (2019), Cải thiện năng suất lao động trong bối cảnh kinh tế số, Đánh giá kinh tế Việt Nam thường niên 2019, Đại học Kinh tế Quốc dân.

3. Hiệp hội TMĐT Việt Nam (2018), Báo cáo Chỉ số TMĐT Việt Nam năm 2018.

4. Hồ Lê Thu Trang và Phan Thị Phương Thảo (2018), Ứng dụng lý thuyết hành vi theo kế hoạch phân tích ý định hành vi du lịch có trách nhiệm về bảo vệ môi trường của du khách nội địa tại thành phố Cần Thơ, Tạp chí Khoa học Trường Đại học Cần Thơ, 54(9D): 124 - 132.

5. Hoàng Thị Phương Thảo, Nguyễn Trọng Tâm (2017), Sự chấp nhận thông tin eWOM và niềm tin thương hiệu trong lĩnh vực du lịch việt nam.

6. Hoàng Thị Thu Hương (2016), Các yếu tố ảnh hưởng tới sự lựa chọn điểm đến của người dân Hà Nội: Nghiên cứu trường hợp điểm đến Huế, Đà Nẵng.

7. Iprice (2019), Bản đồ TMĐT Việt Nam.

8. Khảo sát của Hội DN Hàng Việt Nam chất lượng cao năm 2018.

9. Lê Minh Chí và Lê Tấn Nghiêm (2018), Tác động của truyền miệng trực tuyến đến YĐMH của người dùng mạng xã hội.

10. Lê Ngọc Linh, Lê Quang Trực (2015), Nghiên cứu hoạt động marketing truyền miệng (word of mouth marketing) tại các khách sạn ở Thừa Thiên Huế.

11. Lê Thị Hoàng Linh (2017), Nghiên cứu sự tác động của eWOM (eWOM) đến quyết định mua mỹ phẩm của người tiêu dùng là nữ giới trên địa bàn tỉnh Đắk Lắk.

12. Nguyễn Đình Thọ, Phương pháp nghiên cứu khoa học trong kinh doanh, NXB Tài chính, tái bản lần 2.

13. Nguyễn Khánh Duy (2009), Bản thảo lần 1 bài giảng thực hiện mô hình cấu trúc tuyến tính SEM với phần mềm AMOS 22.

14. Nguyễn Quang Thu, Lưu Thị Kim Tuyến (2017), Vai trò của yếu tố ảnh hưởng xã hội trong mối quan hệ với niềm tin, “thái độ”, nhận thức rủi ro đến YĐMH trực tuyến của NTD tại TP. Hồ Chí Minh, Tạp chí Nghiên cứu Kinh tế và Kinh doanh Châu Á: 5- 22.

15. Phạm Văn Tuấn (2014), Nghiên cứu tác động của sự thỏa mãn đến lòng trung thành và hành vi mua lặp lại áo sơ mi may sẵn đối với người tiêu dùng đô thị Việt Nam dưới ảnh hưởng bởi sự dính líu và phong cách thời trang.

16. Phí Mạnh Cường (2018), Bảo vệ người tiêu dùng trong TMĐT thời kỳ cách mạng công nghiệp 4.0.

17. Sách trắng Bộ Công thương Việt Nam (2019).

18. Trần Thị Khánh Linh, trường Đại học Kinh Tế Đà Nẵng, (2014), Nghiên cứu sự

tác động của eWOM đến quyết định mua sữa của người tiêu dùng tại Đà Nẵng.

TÀI LIỆU TIẾNG ANH

19. Ajzen (1985), From Intentions to Actions: A Theory of Planned Behavior, SSSP Springer Series in Social Psychology. Springer, Berlin, Heidelberg.

20. Ajzen & Driver (1992), Application of the Theory of Planned Behavior to Leisure Choice, Journal of Leisure Research, 24(3), 207–224.

21. Ajzen (1991), The theory of planned behavior, Organizational behavior and human decision.

22. Akyuz (2013), Determinant factors influencing eWOM, Medit J Soc Sci 4(11):

159-166.

23. Alam and Sayuti (2011), Applying the theory of planned behavior (TPB) in halal food purchasing, International Journal of Commerce and Management, Vol 21 No. 1: 8-20.

24. Amblee, Naveen & Bui, Tung (2007), The impact of electronic-word-of-mouth on digital microproducts: An empirical investigation of Amazon Shorts, Proceedings of the 15th European Conference on Information Systems, ECIS 2007.

25. Aqila, Nurul & Osman, Abdullah & Abdullah, Safizal & Salahudin, Shahrul &

Ramlee, Nor & Mat Soha, Hazalina (2016), The Relationship of Attitude, Subjective Norm and Website Usability on Consumer Intention to Purchase Online: An Evidence of Malaysian Youth, Procedia Economics and Finance, 35.

26. Arifani & Haryanto (2018), Purchase intention: implementation theory of planned behavior (Study on reusable shopping bags in Solo City, Indonesia), IOP Conference Series: Earth and Environmental Science.

27. Arndt (1967) Role of product-related conversations in the diffusion of a new product, Journal of Marketing Research 4: 291-295.

28. Arumugam, Vijayesvaran (2016). Electronic Word-of-Mouth Information Adoption by Online Consumers. International Journal of Science and Research (IJSR), 5: 1865-1869.

29. Bagozzi (1996) Measurement in marketing research: Basic principles of questionnaire design, In Bagozzi, R.P.Principles of marketing research, Oxford: Basil Blackwell: 1-149.

30. Baumgartner, Homburg (1996), Applications of structural equation modeling in marketing and consumer research: a review, International Journal of Research in Marketing 13: 139-161.

31. Beardon, Etzel (1982) Reference group influence on product and brand purchase decisions, Journal of consumer research: 183-194.

32. Bentler (1990), Comparative fit indexes in structural models, Psychological Bulletin, 107(2): 238–246.

33. Bhattacherjee (2000), Acceptance of e-commerce services: the case of electronic brokerages, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4): 411–420.

34. Bickart & Schindler (2001), Internet forums as influential sources of consumer information, Journal of Interactive Marketing, 15(3): 31–40.

35. Blackwell, Miniard, Engel (2006) Consumer behaviour: International student edition, Mason OH: Thompson.

36. Bommer (1987), A behavioral model of ethical and unethical decision making.

Journal of business ethics 6: 265-280.

37. Brown and Reingen (1987) Social Ties and Word-of-Mouth Referral Behavior, Journal of Consumer Research, 14: 350-362.

38. Calabrese and Borchert (1996), Prospects for electronic democracy in the US:

rethinking communication and social policy, Media Culture and Society 18.

39. Cantallops, Salvi (2014) New consumer behavior: A review of research on eWOM and hotels, International Journal of Hospitality Management 36.

40. Castaneda, Rodriguez, Luque (2009), Attitudes’ hierarchy of effects in online user behavior, Online Information Review 33.

41. Charles (1996), Credibility, An Integrated approach to communication theory and research.

42. Chatterjee, Patrali (2001), Online Reviews – Do Consumers Use Them?, ACR 2001 Proceedings, Gilly and Myers-Levy, Provo, UT: Association for Consumer Research.

43. Chen, Yubo & Xie, Jinhong. (2008), Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science. 54.

44. Cheng, Lam, & Hsu (2006), Negative Word-of-Mouth Communication Intention:

An Application of the Theory of Planned Behavior, Journal of Hospitality & Tourism Research, 30(1).

45. Chetna Kudeshia, Amresh Kumar, (2017) Social eWOM: does it affect the brand attitude and purchase intention of brands?, Management Research Review, Vol. 40 Issue.

46. Cheung, Thadani (2010), The effectiveness of electronic word-of-mouth communication: a literature analysis, In: Proceedings of the 23rd Bled eConference eTrust: implications for the individual, enterprises and society.

47. Cheung, Lee and Rabjohn (2008), The impact of electronic word-of- mouth: The adoption of online opinions in online customer communities, Internet research, 18(3).

48. Chevalier and Mayzlin (2006), The effect of word of mouth on sales: online book reviews, Journal of Marketing Research, Vol. 43 No. 3.

49. Comparison of the theory of reasoned action and the theory of planned behavior.

International.

50. Park, Lee và Han (2007), The effects of online consumer reviews on consumer purchasing intention: the moderating role of involvement, International Journal of Electronic Commerce, Vol. 11, No. 4.

51. David Godes and Dina Mayzlin (2004), Marketing Science, Vol. 23, No. 4.

52. Davis (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly.

53. De Valck, Van Bruggen & Wierenga (2009), Virtual communities: A marketing perspective, Decision Support Systems, 47(3).

54. Dellarocas (2003), The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms. Management Science, 49(10).

55. Dellarocas & Narayan (2007), Tall Heads vs. Long Tails: Do Consumer Reviews Increase the Informational Inequality Between Hit and Niche Products? SSRN Electronic Journal.

56. DeLone and McLean (1992), Information systems success: The quest for the dependent variable, Informalion 5v.v/cm.v Research. 3. 1.

57. Dennis, Merrilees, Jayawardhena and Tiu Wright (2009), E‐consumer behaviour, European Journal of Marketing, Vol. 43 No. 9/10, 1121-1139.

58. Diallo (2012), Effects of store image and store brand price-image on store brand purchase intention: Application to an emerging market Journal of Retailing and Consumer Services 19.

59. Do Valle, Rebelo, Reis and Menezes (2005), Combining behavioral theories to predict recycling involvement Journal of Environment and Behavior 37.

60. Doll, Torkzadeh (1994), A confirmatory factor analysis of the end-user computing satisfaction instrument, MIS Quarterly 18.

61. Duan & Whinston (2008), Do online reviews matter? - An empirical investigation of panel data. Decision Support Systems, 45(4).

62. Engel, Blackwell and Kegerreis (1969), How information is used to adopt an innovation, Journal of Advertising Research 9(4).

63. Erkan & Evans (2016), Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions, Journal of Marketing Communications, 24(6).

64. Fishbein and Ajzen (1975), Belief, attitude, intention and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley.

65. Fogg & Tseng (1999), The elements of computer credibility, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems the CHI Is the Limit - CHI ’99.

66. Friedman and Resnick (2001), The Social Cost of Cheap Pseudonyms, Journal of Economics and Management Strategy 10(2).

67. Gerbing & Anderson (1998), An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment, Journal of Marketing Research, 25, May.

68. See Kwong (2015), The Effect of Electronic Word of Mouth on Intention to Book Accommodation via Online Peer-to-Peer Platform: Investigation of Theory of Planned Behaviour, The Journal of Internet Banking and Commerce.

69. Goldsmith (2006), Electronic word-of-mouth, In: Khosrow-Pour M (eds) Encyclopedia of E-Commerce, E-Government and Mobile Commerce, Hershey, PA:

Idea Group Publishing.

70. Gretzel and Yoo (2008), Use and impact of online travel reviews, In: O’Connor P, Hopken and Gretzel (eds) Information and Communication Technologies in Tourism, Wien/NewYork: Springer-Verlag.

71. Guoqing, Zhongke, Kai and Xiaofan (2009), The influence of WOM on consumers intention of brand switching: the mediate role of subjective norms”, paper presented at the Summit International Marketing Science and Management Technology Conference, December, Beijing, December 26-29.

72. Hair, Anderson, Tatham & Black (1998), Multivariate Data Analysis, 5th ed, Upper Saddle River Prentice-Hall.

73. Hansen, Jensen, and Solgaard (2004), Predicting online grocery buying intention.

74. Hasbullah, Osman, Abdullah, Salahuddin, Ramlee & Soha (2016), The Relationship of Attitude, Subjective Norm and Website Usability on Consumer Intention to Purchase Online: An Evidence of Malaysian Youth. Procedia Economics and Finance, 35.

75. Hennig-Thurau, Gwinner, Walsh, and Gremler (2004), Electronic word-of- mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet?, Journal of Interactive Marketing, Vol. 18 No. 1.

76. Herr, Kardes and Kim (1991), Effects of word-of-mouth and product- attribute information on persuasion: an accessibility-diagnosticity perspective, Journal of Consumer Research, Vol. 17 No. 4.

77. Hu, Hsin-Hui Sunny & Kandampully, Jay & Devi, Juwaheer. (2009).

Relationships and Impacts of Service Quality, Perceived Value, Customer Satisfaction, and Image: An Empirical Study. The Service Industries Journal. 29. 111-125.

78. Huang, Chuang & Lin (2003), The Role of Burnout in the Relationship between Perceptions off Organizational Politics and Turnover Intentions, Public Personnel Management, 32(4).

79. Johnson, Braima and Sothirajah (1999), Doing the traditional media side step:

comparing the effects of the internet and other non-traditional media with traditional media in the 1996 Presidential campaign. Journalism and Mass Communication Quarterly 76.

80. Karakaya and Barnes (2010), Impact of online reviews of customer care experience on brand or company selection, Journal of Consumer Marketing 27.

81. Kassem, Lee, Modeste and Johnston (2010), Understanding soft drink consumption among female adolescents using the theory of planned behavior, Health Education Research, Vol. 18 No. 3.

82. Katz, và Lazarsfeld (1955), Personal Influence: The Part Played by People in the Flow of Mass Communications. Glencoe, IL: The Free Press.

83. Kee (2008), Majority of online shoppers check at least four reviews before buying.

84. Kettinger, William and Choong (1995), Perceived Service Quality and User Satisfaction with the Information Services Function, Decision Sciences 25.5-6 (Sep:

Oct- Nov:Dec).

85. Kiecker and Cowles (2001), Interpersonal communication and personal influence on the internet: a framework for examining online word-of-mouth, Internet Applications in Euromarketing, Vol. 11 No. 2.

86. Kietzmann, Canhoto (2013), Bittersweet! Understanding and managing electronic word of mouth, J Public Aff 13(2).

87. Kim, Ellen & Mattila, Anna & Baloglu, Seyhmus (2011), Effects of Gender and Expertise on Consumers’ Motivation to Read Online Hotel Reviews, Cornell Hospitality Quarterly - CORNELL HOSP Q. 52.

88. King, Racherla & Bush (2014), What We Know and Don’t Know About Online Word-of-Mouth: A Review and Synthesis of the Literature, Journal of Interactive Marketing, 28(3).

89. Kotler (2008), Marketing menedzsment, Akadémia Kiadó.

90. Kozinets, Valck, Wojnicki & Wilner (2010), Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communications, Journal of Marketing, 74.

91. Kraus (1995), Attitudes and the prediction of behavior: a meta-analysis of the empirical literature, Personality and Social Psychology Bulletin, Vol. 21 No. 1.

92. Kreie, Jennifer and Timothy Paul Cronan: Copyright, Piracy, Privacy and Security Issues: Acceptable or Unacceptable Actions for End Users? Journal of Organizational and End Users Computing 11.

93. Kumar and Benbasat (2006), Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites, Information Systems Research, 17.

94. Lai Ying, Chung (2007), The effects of single-message single-source mixed word- of-mouth on product attitude and purchase intention, Asia Pacific Jornal of Marketing and Logistics 19.

95. Lave (1991), Situating learning in communities of practice, Perspectives on socially shared cognition, 2.

96. Lee, Mira & Youn, Seounmi (2009), Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement, International Journal of Advertising. 28.

97. Leenders (2002), Modeling social inuence through network autocorrelation:

Constructing the weight matrix. Social Networks 24.

98. Li (2013), Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory, Computers in Human Behavior, 29(1).

99. Li, Hsu, Lin (2019), Leisure Participation Behavior and Psychological Well- Being of Elderly Adults: An Empirical Study of Tai Chi Chuan in China, Int Environ.

Public Health 2019.

100. Lin, Chinho (2013), Electronic Word-of-Mouth: The Moderating Roles of Product Involvement and Brand Image.

101. Lin, & Lu (2010), The influence of corporate image, relationship marketing, and trust on purchase intention: the moderating effects of word-of-mouth, Tourism Review, 65(3).

102. Lin & Hsieh (2010), Book Review: Kline (2005), Principles and Practice of Structural Equation Modeling (2nd ed.), New York: Guilford. 366 pp., $40.50 paperback, ISBN 978-1-57230-690-5. Research on Social Work Practice - RES SOCIAL WORK PRAC. 20.

103. Littlejohn, & Foss (2009), Encyclopedia of Communication Theory.

104. Litvin, Goldsmith & Pan (2008), Electronic word-of-mouth in hospitality and tourism management, Tourism Management, 29.

105. López, Manuela & Sicilia, Maria (2014), Determinants of E-WOM Influence:

The Role of Consumers' Internet Experience, Journal of Theoretical and Applied Electronic Commerce Research 9.

106. Macdonald, Emma & Uncles, Mark (2007), Consumer savvy: Conceptualisation and measurement, Journal of Marketing Management Journal of Marketing Management. 23.

107. Manchanda, Puneet & Dube, Jean-Pierre & Goh, Khim & Chintagunta, Pradeep (2002), The Effect of Banner Advertising on Internet Purchasing, Journal of Marketing Research - J MARKET RES-CHICAGO.

108. Marc, Weinberger and William(1980), The Effects of Unfavorable Product Rating Information, in NA - Advances in Consumer Research Volume 07, eds. Jerry C.

Olson, Ann Abor, MI : Association for Consumer Research.

109. Marion, Garnier & Macdonald, Emma (2009), The savvy French consumer: A cross- cultural replication Journal of Marketing Management. 2.

110. Marsden (2006), Introduction and summary, In: Kirby and Marsden (eds) Connected marketing: The viral, buzz and word of mouth revolution. Oxford: Elsevier, 15-3.

111. Marti, Ramamonjiarivelo and Martin (2011), MEDTOUR: a scale for measuring medical tourism intentions, Tourism Review, Vol. 66 Nos 1/2.

112. Mathieso (1991), Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior, Information Systems Research, 2(3).

113. Mayzlin, Dina & Chevalier, Judith (2003), The Effect of Word of Mouth on Sales: Online Book Reviews, Journal of Marketing Research.

114. McConnell (2007), Spread the News: Word of mouth worth $1 billion.

115. McGuigan (2008), 70% of online shoppers read multiple product reviews

116. Mohamad, Sharif, Neda (2011), Electronic word-of-mouth: Challenges and opportunities.

117. Moran, Gillian & Muzellec, Laurent (2015), eWOM credibility on social networking sites: A framework. Journal of Marketing Communications.

118. Nelson, (1970), Information and consumer behavior, Journal of political economy, 78(2).

119. Nizar Hidayanto, Ovirza, Anggia, Ayuning Budi & Phusavat (2017), The Roles of Electronic Word of Mouth and Information Searching in the Promotion of a New E- Commerce Strategy: A Case of Online Group Buying in Indonesia. Journal of Theoretical and Applied Electronic Commerce Research, 12(3).

120. Nunnally (1978), Psychometric Theory, New York: McGraw-Hill.

121. Nunnally and Bernstein (1994), The Assessment of Reliability, Psychometric Theory, 3.

122. Okazaki (2009), Social influence model and electronic word of mouth: PC versus mobile internet, International Journal of Advertising 28.

123. Palka, Pousttchi and Wiedemann (2009), Mobile word-of-mouth - a grounded theory of mobile viral marketing, Journal of Information Technology, Vol. 24 No. 2.

124. Pan, MacLauri and Crotts (2007), Travel blogs and the implications for destination marketing. Journal of Travel Research 46.

125. Pan & Zhang (2011), Born Unequal: A Study of the Helpfulness of User- Generated Product Reviews. Journal of Retailing, 87(4)..

126. Park (2000), Relationships among attitudes and subjective norms: Testing the theory of reasoned action across cultures. Communication Studies 51.

127. Park and Gretzel (2007), Success factors for destination marketing web sites: A qualitative meta-analysis, Journal of Travel Research 46.

128. Park & Kim (2008), The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews, Electronic Commerce Research and Applications, 7(4), 399–410s.

129. Pavlou and Fygenson (2006), Understanding and predicting electronic commerce adoption:an extension of the theory of planned behavior”, MIS Quarterly, Vol. 30 No. 1.

130. Peace, Alan Graham and Galletta, Dennis and Thong, James (2003), Software Piracy in the Workplace: A Model and Empirical Test (December 26, 2011), Journal of Management Information Systems, Vol. 20, No. 1, 153–177.

131. Pedersen (2001), Adoption of mobile commerce: An exploratory analysis, NHH Brage open institutional erpository. processes, 50(2).

132. Petty, Richard & Cacioppo, John & Schumann, David (1983), Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement.

Journal of Consumer Research.

133. Pitta & Fowler (2005), Online consumer communities and their value to new product developers, Journal of Product & Brand Management, 14(5).

134. Prendergast , Ko and Yuen (2010), Online word of mouth and consumer purchase intentions, International Journal of Advertising 29.

135. Ratchford, Lee & Talukdar (2003), The impact of the Internet on information search for automobiles, Journal of Marketing Research, Vol. 40(2).

136. Reza Jalilvand and Samiei (2012), The impact of electronic word of mouth on a tourism destination choice : Testing the theory of planned behavior (TPB), Internet Research, Vol. 22 No. 5.

137. Richins (1983), Negative word-of-mouth by dissatisfied consumers: a pilot study.

Journal of Marketing 47.

138. Riffai, Grant, and Edgar (2012), Big Tam in Oman: Exploring the Promise of on- Line Banking, Its Adoption by Customers and the Challenges of Banking in Oman, International journal of information management (32:3).

139. Roselius (1971), Consumer rankings of risk reduction methods, Journal of Marketing 35.

140. Schepers, Wetzels (2007), A meta-analysis of the technology acceptance model:

Investigating subjective norm and moderation effects. Information and Management 44.

141. Sen and Lerman (2007), Why are you telling me this? An examination into negative consumer reviews on the web, Journal of Interactive Marketing, Vol. 21 No. 4.

142. Senecal & Nantel (2004), The influence of online product recommendations on consumers’ online choices, Journal of Retailing, 80(2).

143. Sheth and Venkatesan (1968), Risk-reduction processes in repetitive consumer behavior, Journal of Marketing Research 5.

144. Shu and Scott (2014), Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective, Journal of Travel and Tourism Marketing, 31(2).

145. Smith and Vogt (1995), The effect of integrating advertising and negative word- of-mouth communications on message processing and response, Journal of Consumer Psychology, Vol. 4 No. 2.

146. Steenkamp & Van Trip (1991), Use of partial least squares (PLS) in strategic management research: A review of four recent studies, Strategic Management Journal, 1996.

147. Steiger (1990), Structural model evaluation and modification, Multivariate Behavioral Research, 25.

148. Stela Cazacu (2012), Greek Consumers, Purchase Intentions towards Dairy Functional Foods.

149. Stephen and Carolyn (2009), Health information–seeking and perceptions of Web site credibility: Examining Web–use orientation, message characteristics, and structural features of Web sites, Computers in Human Behavior, volume 25, number 2.

150. Suh và Han (2003), The impact of customer trust and perception of security control on the acceptance of electronic commerce, International Journal of Electronic Commerce, Vol. 7 No. 3.

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