The influence of electronic word of mouth to convert intention into actual purchase behavior

The influence of electronic word of mouth to convert intention into actual purchase behavior

The proliferation of Internet users has provided a huge opportunity for businesses to anticipate the increasing value of online retail. In Thailand, the number of Internet users shows promise for e-commerce, and yet success in revenues has not emerged. Understanding the behavior in performing the...

Full description

Saved in:
Bibliographic Details
Main Author: Boripunt, Wannaporn
Format: Thesis
Language:eng
eng
Published: 2015
Subjects:
T58.5-58.64 Information technology
HF5415.33 Consumer Behavior.
Online Access:https://etd.uum.edu.my/5311/1/s92601.pdf
https://etd.uum.edu.my/5311/2/s92601_abstract.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.5311
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Mohd Noor, Nor Azila
topic T58.5-58.64 Information technology
HF5415.33 Consumer Behavior.
spellingShingle T58.5-58.64 Information technology
HF5415.33 Consumer Behavior.
Boripunt, Wannaporn
The influence of electronic word of mouth to convert intention into actual purchase behavior
description The proliferation of Internet users has provided a huge opportunity for businesses to anticipate the increasing value of online retail. In Thailand, the number of Internet users shows promise for e-commerce, and yet success in revenues has not emerged. Understanding the behavior in performing the actual transaction will provide valuable information and help to remove the barriers that prevent consumers opting for online shopping. The purpose of the present study is to examine factors that turn consumer intention into actual purchase in the online context among Thai consumers. The theoretical framework in the present study was developed using Technology Acceptance Model (TAM) by incorporating trust, perceived informativeness and electronic word of mouth. Stratified random sampling was employed to select sample among students from selected universities in Thailand. Data were collected using questionnaires. A total of 826 effective samples were collected and the analyses were carried out using both descriptive analysis and structural equation modeling (SEM). The results indicate moderate level of intention and actual purchase in online context. Online purchase intention is found to be a significant determinant of actual online purchase. Perceived usefulness, perceived informativeness and trust are the factors that influence online purchase intention respectively. There were significant indirect influences of electronic word of mouth on purchase intention mediated by direct influences of perceived ease of use, perceived usefulness, trust, and perceived informativeness. The results are also beneficial for both business sector and government sector to understand Thai online consumer behavior and gain clearer picture of the factor driven behind the consumer’s need that can be used to spur their demands to buy more online.
format Thesis
qualification_name Doctor of Business Administration (DBA)
qualification_level Doctorate
author Boripunt, Wannaporn
author_facet Boripunt, Wannaporn
author_sort Boripunt, Wannaporn
title The influence of electronic word of mouth to convert intention into actual purchase behavior
title_short The influence of electronic word of mouth to convert intention into actual purchase behavior
title_full The influence of electronic word of mouth to convert intention into actual purchase behavior
title_fullStr The influence of electronic word of mouth to convert intention into actual purchase behavior
title_full_unstemmed The influence of electronic word of mouth to convert intention into actual purchase behavior
title_sort influence of electronic word of mouth to convert intention into actual purchase behavior
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2015
url https://etd.uum.edu.my/5311/1/s92601.pdf
https://etd.uum.edu.my/5311/2/s92601_abstract.pdf
_version_ 1747827905892712448
spelling my-uum-etd.53112021-03-18T06:33:49Z The influence of electronic word of mouth to convert intention into actual purchase behavior 2015 Boripunt, Wannaporn Mohd Noor, Nor Azila Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business T58.5-58.64 Information technology HF5415.33 Consumer Behavior. The proliferation of Internet users has provided a huge opportunity for businesses to anticipate the increasing value of online retail. In Thailand, the number of Internet users shows promise for e-commerce, and yet success in revenues has not emerged. Understanding the behavior in performing the actual transaction will provide valuable information and help to remove the barriers that prevent consumers opting for online shopping. The purpose of the present study is to examine factors that turn consumer intention into actual purchase in the online context among Thai consumers. The theoretical framework in the present study was developed using Technology Acceptance Model (TAM) by incorporating trust, perceived informativeness and electronic word of mouth. Stratified random sampling was employed to select sample among students from selected universities in Thailand. Data were collected using questionnaires. A total of 826 effective samples were collected and the analyses were carried out using both descriptive analysis and structural equation modeling (SEM). The results indicate moderate level of intention and actual purchase in online context. Online purchase intention is found to be a significant determinant of actual online purchase. Perceived usefulness, perceived informativeness and trust are the factors that influence online purchase intention respectively. There were significant indirect influences of electronic word of mouth on purchase intention mediated by direct influences of perceived ease of use, perceived usefulness, trust, and perceived informativeness. The results are also beneficial for both business sector and government sector to understand Thai online consumer behavior and gain clearer picture of the factor driven behind the consumer’s need that can be used to spur their demands to buy more online. 2015 Thesis https://etd.uum.edu.my/5311/ https://etd.uum.edu.my/5311/1/s92601.pdf text eng public https://etd.uum.edu.my/5311/2/s92601_abstract.pdf text eng public dba dba Universiti Utara Malaysia Abadi, H. R. D., Hafshejani, S. N. A., & Zadeh, F. K. (2011). Considering factors that affect users’ online purchase intentions with using structural equation modeling. Interdisciplinary Journal of Contemporary Research in Business, 3(8), 463-471. Ahn, T., Ryn, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3, 405-420. doi:10.1016/j.elerap.2004.05.001 Ajzen, I. (1991). The theory of planned behavior: Some unresolved issues. Organizational Behavior and Human Decision Processes, 50, 179-211. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall. Anderson, J.C. & Gerbing, D.W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two - Step Approach. Psychological Bulletin, 103, 411-423. Andreasen, A.R. (1968). Attitudes and customer behavior: a decision model. Perspectives in consumer behavior, 498-510. Arndt, J. (1967). Word-of-mouth advertising and of informal communication. In D.F.Cox, Risk taking and information handling in consumer behavior (pp.188-239). Boston, The United States: Harvard University Press. A.T.Kearney Limited. (2000). Satisfying the Experienced On-line Shopper. Retrieved December 16, 2014, from http://www.managementplace.com/ fr/atk/satisfy.pdf Bambauer-Sachse, S. and Mangold, S. (2011), Brand equity dilution through negative online word-of-mouth communication. Journal of Retailing and Consumer Services, 18, 38-45. Bangkok Post. (2014, April 28). Be careful out there. Retrieved December 16, 2014, from http://www.bangkokpost.com/print/406935/ Bansal, H.S., &Voyer, P.A. (2000). Word-of-mouth processes within a service purchase context. Journal of Service Research, 3(2), 166-177. doi:10.1177/109467050032005 Becerra, E.P., & Korgaonkar, P.K. (2011). Effects of trust beliefs on consumers’ online intentions. European Journal of Marketing, 45(6), 936-962. doi: 10.1108/03090561111119921 Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. Bettman, J.R., Johnson, E.J. & Payne, J.W. (1991), Consumer decision making, in T.S. Robertson and H.H. Kassarjian (eds.), Handbook of Consumer Behavior, 50-84, Englewood Cliffs, NJ: Prentice-Hall. Bigne-Alcaniz, E., Ruiz-Mafe, C., Aldas-Manzano, J., & Sanz-Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review, 32(5), 648-667. Bollen, K.A., & Long, J.S. (1993). Testing structural equation models. Newbury Park, CA: Sage. Bonera, M. (2011). The propensity of e-commerce usage: the influencing variables. Management Research Review, 34(7), 821-837. doi:10.1108/01409171111146706 Broekhuizen, T., & Huizingh, E.K.R.E. (2009). Online purchase determinants: Is their effect moderated by direct experience? Management Research News, 32(5), 440-457. doi:10.1108/01409170910952949 Butler, P., & Peppard, J. (1998). Consumer purchasing on the internet: Processes and prospects. European Management Journal, 16(5), 600-610. Cao, X., & Mokhtarian, P.L. (2007). The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature. Retrieved from http://www.uctc.net/papers/743.pdf Celik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail and Distribution Management, 39(6), 390-413. doi:10.1108/09590551111137967 Chang, H.H, & Chen, S.W. (2008). The impact of online store environment cues on purchase intention. Online Information Review, 32(6), 818-841. doi:10.1108/14684520810923953 Chau, P.Y.K., & Hu, P.J.H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information and Management, 39(4), 297-311. Chen, L. (2009). Online consumer behavior: An empirical study based on theory of planned behavior (Doctoral dissertation). Retrieved from ProQuest Dissertations & Theses database. (UMI No. 3355613) Chen, Y., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data, 107(1), 21-36. doi: 10.1108/02635570710719034 Cheung, C.M.K., & Thadani, D.R. (2010). The Effectiveness of Electronic Word-of-Mouth Communication: A Literature Analysis. Paper presented at the 23rd Bled eConference eTrust: Implications for the Individual, Enterprise and Society, Bled, Slovenia. Retrieved from https://domino.fov.uni-mb.si/proceedings.nsf/ 7d01f166eebae8e3c12 57757003c5e98/$FILE/24_ Cheung.pdf Chiu, C. (2009). Understanding relationship quality and online purchase intention in e-tourism: A qualitative application. Quality & Quantity, 43(4), 669-675. doi: 10.1007/s11135-007-9147-6 Chiu, C., Chang, C., Cheng, H., & Fang, Y. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761-784. doi: 10.1108/14684520910985710 Chu, C., & Lu, H. (2007). Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework. Internet Research, 17(2), 139-155. doi: 10.1108/10662240710737004 Cochran, W.G. (1963). Sampling Techniques (2nd ed.). New York: John Wiley and Sons. Davis, A., & Khazanchi, D. (2008). An Empirical Study of Online Word of Mouth as a Predictor for Multi‐product Category e‐Commerce Sales. Electronic Markets, 18(2), 130-141. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and end user acceptance of information technology. MIS Quarterly, 13(3), 319-340. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Sciences, 35(8), 982-1003. Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Sciences, 49(10), 1407-1424. Derbaix, C.M., & Vanhamme, J. (2003). Inducing word-of-mouth by eliciting surprise-a pilot investigation. Journal of Economic Psychology, 24(1), 99-116. Dholakia, U. M., & Rego, L. L. (1998). What makes commercial Web pages popular?: An empirical investigation of Web page effectiveness. European Journal of Marketing, 32(7/8), 724 – 736. Dijk, V. G., Laing, A., & Minocha, S. (2005, July 5-7). Consumer behaviour in multi-channel retail environments: consumer movement between online and offline channels. Paper presented at the 5th American Marketing Association/Academy of Marketing Joint Biennial Conference, Dublin, Ireland. Doh, S.J., & Hwang, J.S. (2008). How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages. CyberPsychology& Behavior, 12, 193-197. doi:10.1089/cpb.2008.0109 Doney, P.M., & Cannon, J.P. (1997). An examination of the nature of trust in buyerseller relationships. Journal of Marketing, 61(2), 35-51. Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21-35. Eid, R. (2005). International internet marketing: A triangulation study of drivers and barriers in the Business-to-Business context in the United Kingdom. Marketing Intelligence & Planning, 23(3), 266-280. Eid, R., & Trueman, M. (2002). The Internet: New international marketing issues. Management Research News, 25(12), 54-67. Engel, J.F., Blackwell, R.D., & Miniard, P.W. (1995). Consumer behaivior. (8thed.). Chicago: the Dryden Press. Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), 200 – 216. doi: 10.1108/02652320510584412 Escobar-Rodriguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88. Fagerstrom, A. (2007). The Impact of Verbal Stimuli in Motivating Consumer Response at the Point of Purchase Situation Online. Proceedings of the 2007 conference on Human interface: Part II, 713-719. doi: 10.1007/978-3-540-73354-6_78 Fam, K.S., Foscht, T., and Collins, R.D. (2004). Trust and the online relationships-an exploratory study from New Zealand. Tourism Management, 25(2), 195-207. Faqih, K.M.S. (2011, November). Integrating Perceived Risk and Trust with Technology Acceptance Model: An Empirical Assessment of Customers’ Acceptance of Online Shopping in Jordan. Paper presented at Research and Innovation in Information Systems (ICRIIS) International Conference, Kuala Lumpur, Malaysia. doi:10.1109/ICRIIS.2011.6125686 Flick K. L. (2009). Assessing Consumer Acceptance of Online Shopping: Examining Factors Affecting Purchase Intentions (Doctoral dissertation). Retrieved from ProQuest Dissertations & Theses database. (UMI No. 3353661) Fornell, C. R., & Larcker, D. F. (1981). Structural equation model with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. Gefen, D., Karahanna, E., & Straub, D.W. (2003) Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27(1), 51-90. Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. e-Service Journal, 2(2), 7-24. Gentry, L., & Calantone, R. (2002). A comparison of three models to explain Shopbot use on the web. Psychology and Marketing, 19(11), 945-956. Guo, Y., & Barnes, S. (2011). Purchase behavior in virtual worlds: An empirical investigation in Second Life. Information and Management, 48, 303-312. doi:j.im.2011.07.004 Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62, 565-571. doi:10.1016/j.jbusres.2008.06.016 Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). New York, NY: Macmillan. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. Harris, L. C., & Goode, M. M. H. (2010). Online servicescapes, trust, and purchase intentions. Journal of Services Marketing, 24(3), 230-243. doi:10.1108/08876041011040631 Harrison, D. A., Mykytyn, Jr., P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8, 171-195. Hart, C., Doherty, N., & Ellis-Chadwick, F. (2000). Retailer adoption of the internet implications for retail marketing. European Journal of Marketing, 34(8), 954-974. Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689-708. Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62 (1), 5–13. doi: 10.1016/j.jbusres.2008.01.018 Heijden, H., Verhagen, T., & Creemers, M. (2001). Predicting Online Purchase Behavior: Replications and Test of Competing Models. Proceeding of the 34th Hawaii International Conference on System Sciences, 7, 7068-7077. doi: 10.1109/HICSS.2001.927100 Hennig-Thurau, T., Gwinner, K.P., Walsh, G., & Gremler, D.D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52. doi:10.1002/dir.10073 Hernandez, B., Jimenez, J., & Martin, M. J. (2011). Age, gender and income: do they really moderate online shopping behavior? Online Information Review, 35(1), 113-133. doi:10.1108/14684521111113614 Heu, J.H. (2008). The study on the factors of the effect on the trust and loyalty in online shopping mall (Master thesis, Chung-Ang University, Seoul). Ho, C.F. & Wu, W.H. (1999). Antecedents of customer satisfaction on the internet: An empirical study of online shopping. Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences, 5, 5027-5035. Hui, H., & Kejin, H. (2009). Factors Affecting Consumer’s Online Purchase Intention in China. Management and Service Science International Conference, 1-4. doi:10.1109/ICMSS.2009.5301676 Hung, K., Chen, A. H., Peng, N., Hackley, C., Tiwsakul, R. A., & Chou, C. (2011). Antecedents of luxury brand purchase intention. Journal of Product & Brand Management, 20(6), 457-467. doi:10.1108/10610421111166603 Israel, G. D. (2009). Determining Sample Size. Retrieved May 23, 2013, from University of Florida, Electronic Data of Information Source Web site: https://edis.ifas.ufl.edu/pd006 Jalilvand, M. R., & Samiei, N. (2012). The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP). Internet Research, 22(5), 591-612. doi: 10.1108/10662241211271563 Jaturavith, W. (2007). Consumer adoption of the Internet as a shopping medium: the case of Thailand (Doctoral dissertation, Alliant International University, California, The United States). Kalakota, R., & Whinston, A. B. (1997). Electronic Commerce: A Manager’s Guide. Upper Saddle River, NJ: Addison-Wesley. Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, 35(9), 703-719. doi: 10.1108/09590550710773255 Karakaya, F., & Barnes, N. G. (2010). Impact of online reviews of customer care experience on brand or company selection. Journal of Consumer Marketing, 27(5). 447-457. Kassim, E. S., Jailani, S. F. A. K., Hairuddin, H., & Zamzuri, N. H. (2012). Information system acceptance and user satisfaction: The mediating role of trust. Procedia Social and Behavioral Sciences, 57. 412-418. doi: 10.1016/j.sbspro.2012.09.1205 Kate, S., Haverkamp, S., Mahmood, F., & Feldberg, F. (2010, June). Social network influences on technology acceptance: A matter of tie strength, centrality and density. Paper presented at the 23rd Bled eConference eTrust: Implications for the Individual, Enterprise and Society, Bled, Slovenia. Retrieved from https://domino.fov.unimb.si/proceedings.nsf/0/ eaa5e9b00ca2dd37c12577570035e643/$FILE/02_ tenKate.pdf Kim, H., & Song, J. (2010). The quality of word-of-mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376-390. doi:10.1108/17505931011092844 Kim, H. Y., & Chung, F. (2011). Consumer purchase intention for organic personal care products. Journal of Consumer Marketing, 28(1), 40-47. doi: 10.1108/07363761111101930 Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of Retailing and Consumer Services, 14(2), 95-107. Kim, J.U., Kim, W.J, & Park, S.C. (2010). Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Computers in Human Behavior, 26, 1208-1222. doi:10.1016/j.chb.2010.03.032 Kline, R. B. (2005). Principles and practice of structural equation modeling. (2nd ed.). New York: Guilford Press. Kotler, P. (2000). Marketing management. (10thed.). Upper Saddle River, NJ: Prentice-Hall. Kotler, P., Ang, S. H., Leong, S. M., & Tan, C. T. 2004. Marketing Management: An Asian Perspective. USA: Prentice Hall. Laohapensang, O. (2009). Factors influencing internet shopping behaviour: a survey of consumers in Thailand. Journal of Fashion Marketing and Management, 13(4), 501-513. Laosethakul, K., & Boulton, W. (2007). Critical Success Factors for E-commerce inThailand: Cultural and Infrastructural Influences. The Electronic Journal on Information Systems in Developing Countries, 30(2), 1-22. Lee, H., Fiore, A. M., & Kim, J. (2006). The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses. International Journal of Retail & Distribution Management, 34(8), 621-644. Doi: 10.1108/09590550610675949 Lee, J., & Lee, J.N. (2009).Understanding the product information inference process in electronic word-of-mouth: An objectivity-subjectivity dichotomy perspective. Journal of Information & Management, 46, 302-311. Lee, J., Park, D.H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7, 341-352. doi:10.1016/j.elerap.2007.05.004 Lee, S. H. (2009). How do online reviews affect purchasing intention? African Journal of Business Management, 13(10), 576-581. Lee, T.R., & Li, J.M. (2006). Key factors in forming an e-marketplace: an empirical analysis. Electronic Commerce Research and Application, 5(2), 105-116. Leelayouthayotin, L. (2004). Factors influencing online purchase intention: The case of health food consumers in Thailand (Doctoral dissertation, University of Southern Queensland). Retrieved from http://eprints.usq. edu.au/149/1/Thesis_Aug_6_04.pdf Lian, J., & Lin, T. (2008). Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior, 24, 48-65. doi: 10.1016/j.chb.2007.01.002 Liang, T., & Hung-Jen, L. (2002). Effect of store design on consumer purchases: An empirical study of on-line bookstores. Information & Management, 39, 431-444. Lim, B. C., & Chung, C. M. Y. (2011). The impact of word-of-mouth communication on attribute evaluation. Journal of Business Research, 64(1), 18-23. Limayem, M., Khalifa, M., &Frini, A. (2000). What Makes Consumers Buy from Internet? A Longitudinal Study of Online Shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: System and Humans, 30(4), 421-432. Lin, C.S., Tzeng, G.H., Chin, Y.C., & Chang, C.C. (2010). Recommendation sources on the intention to use e-books in academic digital libraries. The Electronic Library, 28(6), 844-857. doi:10.1108/02640471011093534 Lin, H.F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6, 443-442. doi:10.1016/j.elerap.2007.02.002 Lin, L.Y., & Lu, C.Y. (2010). The influence of corporate image, relationship marketing, and trust on purchase intention: the moderating effects of word-of-mouth. Tourism Review, 65(3), 16-34. doi: 10.1108/16605371011083503 Lin, W.B., Wang, M.K., & Hwang, K.P. (2010). The combined model of influencing on-line consumer behavior. Expert Systems with Applications, 37, 3236-3247. doi:10.1016/j.eswa.2009.06.056 Litvin, S.W., Goldsmith, R.E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29, 458-468. Lohse, G. & Spiller, P. (1998). Quantifying the effect of user interface design features on Cyberstore traffic and sales. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 211-218. doi: 10.1145/274644.274675 Lu, Y., Cao, Y., Wang, B., & Yang, S. (2011). A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27(1), 355-364. doi:10.1016/j.chb.2010.08.013 Martin, W.C., & Lueg, J.E. (2011). Modeling word-of-mouth usage. Journal of Business Research. doi:10.1016/j.jbusres.2011.06.004 Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. Mayer, R.C., Davis, J.H., & Schoorman, F.D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-773. Merrilees, B., & Fenech, T. (2007). From catalog to Web: B2B multi-channel marketing strategy. Industrial Marketing Management, 36, 44-49. doi: 10.1016/j.indmarman.2006.06.014 Miniwatts Marketing Group. (2013). Internet Users in the World. Retrieved April 15, 2014, from http://www.internetworldstats.com/stats.htm Monsuwe, T.P.Y., Dellaert, B.G.C., & Ruyter, K.D. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121. doi:10.1108/09564230410523358 Moon, J., Chadee, D., & Tikoo, S. (2008). Culture, product type, and price influences on consumer purchase intention to buy personalized products online. Journal of Business Research, 61, 31-39. Doi: 10.1016/j.jbusres.2006.05.012 Mourali, M., & Laroche, M. (2005).Antecedents of consumer relative preference for interpersonal information sources in pre-purchase search. Journal of Consumer Behavior, 4(5), 307-318. National Electronics and Computer Technology Center. (n.d.). Internet User and Statistics in Thailand. Retrieved May 10, 2014, from http://internet.nectec.or.th/webstats/home.iir Noknoi, C., & Boripunt, W. (2009, January 16-18). Internet Marketing: Contemporary Opportunity for Thai Entrepreneurs. Paper presented at the 8th International Marketing Trends Congress, Paris, France. Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York, NY: McGraw-Hill O’Cass, A., & Fenech, T. (2003). Web retailing adoption: exploring the nature of internet users web retailing behavior. Journal of Retailing and Consumer Services, 10(2), 81-94. Ozkan, S., Bindusara, G., & Hackney, R. (2010). Facilitating the adoption of epayment systems: theoretical constructs and empirical analysis. Journal of Enterprise Information Management, 23(3), 305-325. doi:10.1108/17410391011036085 Pallant, J. (2011). SPSS Survival Manual (4th ed.). Crows Nest NSW, Australia: Allen & Unwin. Pang, C., & Ji, X. (2007). The Influence of Product Knowledge on Online Purchase Intention on Creative Products: An Empirical Study. Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, 3501-3504. doi: 10.1109/WICOM.2007.866 Park, D.H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7, 399-410. Park, D.H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7, 386-398. doi:10.1016/j.elerap.2007.11.004 Park, D.H., Lee, J., & Han, I. (2007). The effects of on-line consumer reviews on consumer purchasing intention: the moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148. Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134. Phatthana, W. (2011). The Application of Technology Acceptance Model 2 (TAM2) E-Purchase Intentions among Health Tourist in Thailand (PhD thesis, Universiti Utara Malaysia, Malaysia). Retrieved from http://etd.uum.edu.my/ 2728/1/Wanlapha_Phatthana.pdf Racherla, P. (2008). Factors influencing consumers’ trust perceptions of online product reviews: A study of the tourism and hospitality online product review systems (Doctoral dissertation). Retrieved from ProQuest Dissertations & Theses database. (UMI No. 3320030) Reichheld, F. F., & Schefter, P. (2000). E-Loyalty: Your Secret Weapon on the Web. Harvard Business Review, July-August, 105-114. Richins, M.L., & Root-Shaffer, T. (1998). The role of involvement and opinion leadership in consumer word-of-mouth: an implicit model made explicit. Advances in Consumer Research,15(1), 32-36. Rotchanakitumnuai, S., & Speece, M. (2003). Barriers to Internet banking adoption: a qualitative study among corporate customers in Thailand. International Journal of Bank Marketing, 21(6), 312-323. doi: 10.1108/02652320310498465 Ruiz-Mafe, C., Sanz-Blas, S., & Aldas-Manzano, J. (2009). Drivers and barriers to online airline ticket purchasing. Journal of Air Transport Management, 15, 294-298. doi: 10.1016/j.jairtraman.2009.02.001 Said, G. R. E., & Galal-Edeen, G. H. (2009). The role of culture in e-commerce use for the Egyptian consumers. Business Process Management, 15(1), 34-47. Schiffman, L.G., & Kanuk, L.L. (2000). Consumer behavior. (7thed.). Upper Saddle River, NJ: Prentice-Hall. Sheppard, B.H., Hartwick, J., & Warshaw, P.R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343. doi: 10.2307/2489467 Smith, D., Menon, S., &Sivakumar, K. (2005). Online peer and editorial recommendations, trust, and choice in virtual markets. Journal Interact Market, 19, 15-37. doi: 10.1002/dir.20041 Soopramanien, D.G.R., & Robertson, A. (2007). Adoption and usage of online shopping: An empirical analysis of the characteristics of “buyers” “browsers” and “non-internet shoppers”. Journal of Retailing and Consumer Services, 14, 73-82. doi:10.1016/j.jretconser.2006.04.002 Statista. (2014). Annual B2C e-commerce sales in the United States. Retrieved July 15, 2014, from http://www.statista.com/statistics/271449/ annual-b2c-ecommerce-sales-in-the-united- states/. Sundaram, D.S., Mitra, M., & Webster, C. (1998). Word-of –mouth communications; a motivational analysis. Advances in Consumer Research, 25, 527-531. Tabachnick, B. G., & Fidell, L. S. (2001). Using Multivariate Statistics. Boston: Allyn and Bacon. Taylor, S., & Todd, P.A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. Tseng, F., & Hsu, F. (2010, July). The Influence of eWOM within The Online Community on Consumers’ Purchasing Intentions-The Case of The Eee PC. The 2010 International Conference on Innovation and Management, Penang, Malaysia. Unal, S., Erciú, A., & Keser, E. (2011). Attitudes towards Mobile Advertising - A Research to Determine the Differences between the Attitudes of Youth and Adults. Procedia Social and Behavioral Sciences, 24, 361–377. doi:10.1016/j.sbspro.2011.09.067 Venkatesh, V., & Davis, F. (1996). A model of the antecedents of perceived ease of used: development and test. Decision Sciences, 27(3), 451-481. Vijayasarathy, L. R. (2002). Product characteristics and internet shopping intentions. Internet Research: Electronic Networking and Policy, 12 (5), 411-426. Weisberg, J., Te’eni, D., & Arman, L. (2011). Past purchase and intention to purchase in e-commerce: The mediation of social presence and trust. Internet Research, 21(1), 82-96. doi: 10.1108/106622411111104893 Wilson, E., & Sherrell, D. (1993). Source effects in communication and persuasion research: A meta-analysis of effect size. Journal of the Academy of Marketing Science, 21, 101–112. Wu, P.C.S, & Wang, Y.C. (2011). The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23(4), 448-472. doi:10.1108/13555851111165020 Xie, G., Zhu, J., Lu, Q., & Xu, S. (2011). Influencing Factors of Consumer Intention towards Web Group Buying. Proceedings of the 2011 IEEE International Conference, 1397-1401. doi: 10.1109/IEEM.2011.6118146 Xu, J. B., & Chan, A. (2010). A conceptual framework of hotel experience and customer-based brand equity. International Journal of Contemporary Hospitality Management, 22(2), 174-193. doi: 10.1108/09596111011018179 Yeh, N., Lin, J.C., & Lu, H. (2011). The moderating effect of social roles on user behavior in virtual worlds. Online Information Review, 35(5), 747-769. doi:10.1108/14684521111176480 Yi, F., & Fan, G. (2011). An Empirical Study on Consumer Purchase Intention Affecting Online Shopping Behavior. Management and Service Science International Conference, 1-4. doi: 10.1109/ICMSS.2011.5998965 Ying, H.L., & Chung, C.M.Y. (2007). The effects of single-message single-source mixed word-of-mouth on product attitude and purchase intention. Asia Pacific Journal of Marketing, 19(1), 75-86. doi:10.1108/13555850710720911 Yoon, C. (2009). The effects of national culture values on consumer acceptance of ecommerce: Online shoppers in China. Information and Management, 46, 294-301. doi:10.1016/j.im.2009.06.001 Zeithaml, V.A. (1988). Consumer perceptions of price, quality, and value: a meansend model and synthesis of evidence. Journal of Marketing, July, 2-22. Zhang, X., Prybutok, V. R., & Koh, C. E. (2006). The Role of Impulsiveness in a TAM-Based Online Purchasing Behavior Model. Information Resources Management Journal, 19(2), 54-68. Zhu, D.S., O’Neal, G.S., Lee, Z.C., & Chen, Y.H. (2009). The Effect of Trust and Perceived Risk on Consumers’ Online Purchase Intention. Proceedings of the 2009 International Conference on Computational Science and Engineering, 4, 771-776. doi:10.1109/CSE.2009.338 Zhu, J. J. H., & He, Z. (2002). Perceived Characteristics, Perceived Needs, and Perceived Popularity Adoption and Use of the Internet in China. Communication Research, 29(4), 466-495. doi: 10.1177/0093650202029004005

Similar Items