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UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Nguyen Thi Thanh Tuyen ANTENCEDENTS AND MEDIATORS OF CONSUMER’S ONLINE PURCHASE INTENTION MASTER OF BUSINESS (Honours) Ho Chi Minh City – Year 2015 UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Nguyen Thi Thanh Tuyen ANTENCEDENTS AND MEDIATORS OF CONSUMER’S ONLINE PURCHASE INTENTION ID: 22120036 SUPERVISOR: Nguyen Quynh Mai Ho Chi Minh City – Year 2015 i ANTENCEDENTS AND MEDIATORS OF CONSUMER’S ONLINE PURCHASE INTENTION Nguyen Thi Thanh Tuyen UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business ii ACKNOWLEDGEMENTS I am deeply grateful to my advisors, Dr Nguyen Quynh Mai for the guidance and comments through the process of completing this thesis Without the support and encouragement from Dr Nguyen Quynh Mai, the thesis might not be completed in meeting the requirements and expectation of the research I also want to say thanks to my classmates and others who complete the surveys and share knowledge with me Nguyen Thi Thanh Tuyen July 4th, 2015 iii ABSTRACT Many e-vendors have been investigated in Vietnam but not all of them are successful In order to be successes, e-vendors need to know how to attract consumers by understanding consumers’ purchase intention In this study, five factors that were proposed to have influence on purchase intention Those were technology characteristics, trust, social influence, perceived ease of use, perceived usefulness A survey was launched in August, 2014 and 180 responses was collected in Ho Chi Minh City, Vietnam for analyzing The findings showed that perceived usefulness is not a factor that influences purchase intention Perceived ease of use is found to be a key factor that influence purchase intention directly Technology characteristics, trust, and social influence are three factors that influence purchase intention indirectly via mediator perceived ease of use To gain consumers online purchase intention, e-vendors should provide products and services that gain consumers’ perceived ease of use Besides that, their websites need to be easy to read and easy to understand by improving technology characteristics E-vendors also need to gain trust and social influence to increase consumers’ purchase intention The results of this study provide a valuable insight on the direct impact of perceived ease of use and the indirect impact of trust, social influence, and technology characteristics towards online purchase intention iv TABLE OF CONTENTS ACKNOWLEDGEMENTS II ABSTRACT III CHAPTER 1: INTRODUCTION 1.1 BACKGROUND 1.2 PROBLEM STATEMENT 1.3 RESEARCH OBJECTIVES 1.4 RESEARCH QUESTIONS 1.5 RESEARCH SCOPE AND LEMITATION 1.6 THESIS STRUCTURE CHAPTER 2: LITERATURE REVIEW 2.1 CONCEPTS 2.1.1 E-Retailing 2.1.2 Online Purchase Intention 2.1.3 Consumer Behavior 2.2 THEORIES OF CONSUMER BEHAVIOR 2.2.1 Theory of Reason Action - TRA 2.2.2 Theory of Planned Behavior – TPB 2.2.3 Theory of Acceptance Model – TAM 2.3 ATTENCEDENTS OF ONLINE PURCHASE INTENTION 11 2.3.1 Perceived Usefulness 11 2.3.2 Perceived Ease of Use 13 2.3.3 Trust 14 2.3.4 Social Influence 16 2.3.5 Technology Characteristics 17 2.4 CONCEPTUAL MODEL 18 v 2.5 CHAPTER SUMMARY .19 CHAPTER 3: REASECH METHODOLOGY 20 3.1 RESEARCH PROCESS 20 3.2 MEASUREMENT SCALES 22 3.3 DATA COLLECTION METHOD 25 3.3.1 Sample and Sample Size 25 3.3.2 Data Collection Process 25 3.4 DATA ANALYSIS METHOD 25 3.4.1 Descriptive Analysis 26 3.4.2 Reliability Analysis 26 3.4.3 Exploratory Factor Analysis 26 3.4.4 Multiple Regression Analysis 27 3.4.5 Testing Mediation with Regression Analysis 28 3.5 CHAPTER SUMMARY 28 CHAPTER 4: DATA ANALYSIS 29 4.1 DESCRIPTIVE ANALYSIS 29 4.1.1 Gender 31 4.1.2 Age 31 4.1.3 Education 31 4.1.4 Income 31 4.1.5 Career 32 4.1.6 Frequency of Online Purchasing 32 4.1.7 Most Recent Purchase 32 4.2 RELIABILITY ANALYSIS 32 4.3 EXPLORATORY FACTOR ANALYSIS 35 4.4 HYPOTHESES TESTING 39 vii 4.4.1 Assumption Test .39 4.4.2 Testing Mediation with Regression Analysis 42 4.5 CHAPTER SUMMARY 49 CHAPTER 5: CONCLUSION AND IMPLICATION 50 5.1 DISCUSSION 50 5.2 MANAGERIAL IMPLICATIONS 52 5.3 LIMITATION OF STUDY AND FUTURE RESEARCH 53 5.4 CONCLUSION 54 REFERENCES 56 APPENDICES 61 LIST OF FIGURES Figure 2.1: Theory of Reasoned Action model Figure 2.2: Theory of Planned Behavior – TPB Figure 2.3: Original TAM 10 Figure 2.4: Final version of TAM 11 Figure 2.5: E-retailing purchase intention model 18 Figure 3.1: Research Process 21 Figure 4.1: Revised e-retailing purchase intention model 38 Figure 4.2: Histogram 40 Figure 4.3: P-P Plot 41 Figure 4.4: Scatter Plot 41 Figure 4.5: Diagram of description step 1-3 44 Figure 4.6: Diagram of description step 45 Figure 4.5: Model Tested Result 46 vii LIST OF TABLES Table 3.1: Results of the Reliability Test (Pilot) 24 Table 4.1: Descriptive Analysis 29 Table 4.2: Results of Reliability Test 33 Table 4.3: KMO and Bartlelt’s Test 35 Table 4.4: Total Variance Explained 36 Table 4.5: Rotated Factor Matrix 37 Table 4.6: Collinearity Statistics 39 Table 4.7: Coefficients of TC, T, and SI Predicting PI 42 Table 4.8: Coefficients of TC, T, and SI Predicting TB 43 Table 4.9: Coefficients of TB Predicting PI 43 Table 4.10: Coefficients of TC, T, SI, and TB Predicting PI 44 Table 4.11: Testing with Regression Analysis Result 48 CHAPTER INTRODUCTION 1.1 Background Internet has been very popular for a networking media It also created a new form of retail which is known as e-retailing or web shopping It is a necessary medium for global market transaction Developing of e-retailing allows shoppers to purchase products or services from the web-retailers and search products information over the Internet E-retailers don’t have to spend money for space (Keeney, 1999; Turban and King, 2003) Consumers can buy products on e-retailing websites by making transaction via virtual interface It’s more convenient than traditional shopping which usually causes anxious crowded, traffic jam, limited time, and parking space However, web shopping is perceived to be more risky than traditional way, so trust play a crucial role for consumers making online transaction (Pavlou, 2003) E-retailing has arisen in Vietnam from 2001 Together with the event joining WTO in 2006, Vietnam becomes a promising environment for e-retailing in next five years A recent study Irwin and Nguyen (2013) showed that Vietnam’s e-retailing market value achieved approximately $300 million in 2011 and is expected to gain $2.8 billion by 2015 with growth rate at 75% from 2011 to 2015 (Irwin and Nguyen, 2013) In 2013, German Rocket Internet invested $250 million in Lazada Group, an online eretailing group, to five countries in Southeast Asia including Vietnam Observers commented that it is the right time for foreign investors to gear up their investment plans in Vietnam Many market reports have predicted that an online boom will happen in near future Tran TrongTuyen, the director of DKT, forecasted that the Vietnamese e-commerce market in 20142015 will be doubled that of 2013 In 2013, Epinion, a market survey firm reported that 50% of Vietnamese internet users use online shopping Lazada’s CEO, Alexandre Dardy, believes that shopping online through smartphones will be the tendency in near furure which will be favored by young consumers Vietnam Net Bridge, a market survey firm, has reported that Vietnam 52 easily and provide understandable and consistent information Similar to any other businesses, e-retailers need to create trust to attract consumers by improving their reputation Consumers feel more comfortable when making transaction with e-retailer with high reputation than low reputation Besides, relatives, friends, colleagues, and social media can influence consumers making any transaction with businesses 5.2 Managerial Implication This research has implications for researchers and practitioners Implications for researchers: This study makes important contributions to research in eretailing field It addresses the limitation of prior researches which only studies direct influencing factors of purchase intention This study pointed out direct and indirect influencing factors of purchase intention Many prior studies point out perceived ease of use and perceived usefulness are the factors that influences purchase intention but not many researches find out factors that affect those factors In this study, trust, technology characteristics, and social influence are three factors that influence technology beliefs which in turn influence purchase intention Implications for practitioners: the result of this research provides important implications for practitioners to prepare strategic plans and implement tools or their performance This study helps e-vendors to fully understand crucial factors that influence consumers’ purchase intention which will help them to improve their managerial and develop their strategies to increase profits The result shows that technology beliefs influence purchase intention directly That means e-vendors need to make consumers feel shopping online is a very easy things to and very helpful In order to increase consumers’ technology beliefs, e-vendors need to improve technology characteristics, consumers’ trust, and social influence since those are factors that influence purchase intention indirectly via mediator technology beliefs To improve technology characteristics, e-vendors need to provide a good website quality to retain existed consumers and attract new consumers E-vendors need to differentiate their websites to make a distinction among top-tier websites especially focusing on factors that 53 influence consumers’ feeling or experience while engaging with the websites In order to that, mangers need to maintain system operation well and make e-retailing websites to be used easily and quickly When shopping online, consumers are afraid of losing privacy information, so providing secure system and securing payment mechanism is very important Besides that, e-retailing websites need to provide a websites with an excellent content quality Consumers prefer to use websites which provide more information with highly reliability and accuracy Investing in content quality will increase quality of website and will attract more consumers in competitive market In modern society, e-retailing companies are very excited about using internet as a key marketing tool and sales vehicle for their products and services but many people not trust in e-commerce security Especially, in Vietnam, people are reluctant to release their personal information to a website because institutions and infrastructure conductive to trust has not been well developed Therefore, e-vendor needs to gain consumers’ trust for Vietnamese making online transaction Ho and Chen (2013) stated that the higher the reputation, the higher gain in case of favorable behavior and the more certain online consumers about the e-vendor will not act opportunistically Hence, in order to gain consumers’ trust, e-vendors need to have good reputation This study also pointed out that social influence can affect purchase intention indirectly via mediator, technology beliefs Friends, relative, family, colleague’s plays very important role in influencing consumers’ purchase intention E-vendors need to treat every consumers well not just to keep current consumers but to attract their friends, relative, family, colleagues to their businesses Another way to attract new consumers is social media They can use social media to make great impression about their company When consumers impress, then they will want to make transaction with those e-vendors 5.3 Limitation and Future Study This study has some limitations that need to be acknowledged 54 Firstly, the empirical study was conducted in Ho Chi Minh City Thus, the data did not cover all class of people in Vietnam In future study, time is allowed, data should be collected in several popular city where consumers are familiar with e-retailing to have broad view of Vietnamese purchase intention Secondly, respondents answered questionnaires based on various e-retailing websites rather than specific ones, so business type of the website and the distinctive designs that may affect customers’ experience and perception about online shopping In future study, it would be better if author identified specific e-retailing type to get in deep understanding about consumers’ purchase intention of that business The study should be narrower but deeper Thirdly, this study uses measurement scales from prior studies These scales were used in other countries, not in Vietnam Due to limited time, this study did not implement qualitative research to test scale, hence perceived usefulness was removed from the model due to having low loading factor In the future, the measurement scales should be tested by qualitative research for modifying to fit with Vietnamese environment 5.4 Conclusion E-commerce arises has changed shopping habit of consumers Recently, consumers no longer relies on physical cue for their purchase decision Technology beliefs, technology characteristics, trust, and social influence are found to be critical factors that influence purchase intention This study reveals that technology beliefs is the important factor that influence purchase intention positively and directly Trust, social influence, and technology characteristics influence purchase intention positively and indirectly via mediator technology beliefs In order to be successes in competitive market, e-vendors should pay more attention to technology characteristics of their website in the form of improving the website usability, design, and information quality Besides that, they need to gain consumers’ trust toward their services by searching for ways to enhance their consumers’ relationship management that earn consumer trust Friends, relatives, and social media also play very important roles in influencing consumer’s purchase intention E-vendors need to make a good social influence to 55 attract consumer to their websites Overall, e-vendors need to gain consumer trust, make a great social influence, and create an attractive website to influence consumer’s purchase intention 56 REFERENCES Agarwal, R., & Prasad, J (1999) Are individual differences germane to the acceptance of new information technologies?.Decision sciences, 30(2), 361-391 Ajzen, I., &Fishbein, M (1975) A Bayesian analysis of attribution processes Psychological Bulletin, 82, 2, 261-277 Ajzen, I and Fishbein, M (1980) Understanding attitudes and predicting social behavior, New Jersey:Prentice-Hall Ajzen, I (1985) From intentions to actions: A theory of planned behavior (pp 11-39) Springer Berlin Heidelberg Baron, R M., & Kenny, D A (1986) The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations Journal of personality and social psychology, 51(6), 1173 Brassington, F., &Pettitt, S (2000) Sales Promotion In: Principles of Marketing Brown, I T (2002) Individual and technological factors affecting perceived ease of use of web-based learning technologies in a developing country The Electronic Journal of Information Systems in Developing Countries, Chau, P Y., & Hu, P J H (2001) Information technology acceptance by individual professionals: A model comparison approach Decision Sciences, 32(4), 699-719 Cheng, S Y., Tsai, M T., Cheng, N C., & Chen, K S (2012) Predicting intention to purchase on group buying website in Taiwan: Virtual community, critical mass and risk Online Information Review, 36(5), 698-712 Chiu, Y B., Lin, C P., & Tang, L L (2005) Gender differs: assessing a model of online purchase intentions in e-tail service International Journal of Service Industry Management, 16(5), 416-435 57 Clasen, D R., & Brown, B B (1985) The multidimensionality of peer pressure in adolescence Journal of Youth and Adolescence, 14(6), 451-468 Davis, F D (1985) A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology) Davis, F D., Bagozzi, R P., &Warshaw, P R (1989) User acceptance of computer technology: a comparison of two theoretical models Management science, 35(8), 9821003 Day, G (1969) ‘A two dimensional concept of brand loyalty’, Journal of Advertising Research, 9(3), 29-35 Gefen, D., Karahanna, E., & Straub, D W (2003) Trust and TAM in online shopping: an integrated model MIS quarterly, 27(1), 51-90 Gong, W (2012) Factors Influencing Perceptions Toward Social Networking Websites in China Eri, Y., Islam, M A., &Daud, K A K (2011) Factors that Influence customers’ buying intention on shopping online International Journal of Marketing Studies, 3(1), p128 Fishbein, M., &Ajzen, I (1975) Belief, attitude, intention and behavior: An introduction to theory and research Hoffman, D L., Novak, T P., & Peralta, M (1999) Building consumer trust online Communications of the ACM, 42(4), 80-85 Ho, T H L., & Chen, Y (2013) Vietnamese consumers' intention to online shopping adoption: A qualitative approach World, 2(3) Ho, T H L., & Chen, Y (2014) Vietnamese Consumers’ Intention to Use Online Shopping: The Role of Trust International Journal of Business and Management, 9(5), p145 Investors flock to Vietnam as e-commerce market expands - News VietNamNet (2014, November 26) Retrieved April 30, 2015, from 58 http://english.vietnamnet.vn/fms/business/117238/investors-flock-to-vietnam-as-ecommerce-market-expands.html Irwin, R., Nguyen, T.T (2013, February) Vietnam NewsBrief Strategy Function Jun, M., Yang, Z., & Kim, D (2004) Customers' perceptions of online retailing service quality and their satisfaction International Journal of Quality & Reliability Management, 21(8), 817-840 Keller, K L., & Lehmann, D R (2006) Brands and branding: research findings and future priorities Marketing Science, 25(6), 740-759 Keeney, R L (1999) The value of Internet commerce to the customer Management science, 45(4), 533-542 KEYS, T P (2011).The Painter's Keys Retrieved from http://quote.robertgenn.com/auth_search.php?authid=6466 Kimery, K M., & McCord, M (2002) Third party assurances: mapping the road to trust in eretailing Journal of Information Technology Theory and Application (JITTA), 4(2), Koufaris, M (2002) Applying the technology acceptance model and flow theory to online consumer behavior Information systems research, 13(2), 205-223 Koufaris, M., & Hampton-Sosa, W (2004) The development of initial trust in an online company by new customers Information & Management, 41(3), 377-397 Laroche, M., Kim, C and Zhou, L (1996) ‘Brand familiarity and confidence as determinants of purchaseintention: an empirical test in a multiple brand context’, Journal of Business Research, 37(2), 115-120 Lassar, W M., Manolis, C., &Lassar, S S (2005) The relationship between consumer innovativeness, personal characteristics, and online banking adoption International Journal of Bank Marketing, 23(2), 176-199 Lederer, A L., Maupin, D J., Sena, M P., & Zhuang, Y (2000) The technology acceptance model and the World Wide Web Decision support systems, 29(3), 269-282 59 Lee, G G., & Lin, H F (2005) Customer perceptions of e-service quality in online shopping International Journal of Retail & Distribution Management, 33(2), 161-176 Lee, S H., & Ngoc, H T B (2010) Investigating the on-line shopping intentions of Vietnamese students: an extension of the theory of planned behaviour World Transactions on Engineering and Technology Education, 8(4), 471-476 Lietsala, K., &Sirkkunen, E (2008) Social media Introduction to the tools and processes of participatory economy McKnight, D., Choudhury, V., &Kacmar, C (2002) The impact of initial consumer trust on intentions to transact with a web site: a trust building model The Journal of Strategic Information Systems, 11(3), 297-323 Moon, J W., & Kim, Y G (2001) Extending the TAM for a World-Wide-Web context Information & Management, 38(4), 217-230 Ng, C S P (2012) Examining The Cultural Difference In The Intention To Purchase In Social Commerce NgôTh , H (2013) Factors influencing consumer online purchase intention of fashion in Viet Nam-The case of Zalora (Doctoral dissertation, International University HCMC, Vietnam) Nguyen, T M C (2012) Factors affecting customer satisfaction in group buying in Vietnam Pallant, J (2005) SPSS Survival Manual, A step-by-step guide to data analysis using SPSS for Windows (Version 12) Australia, NSW Crows Nest 2065 Pearson, J M., Pearson, A., & Green, D (2007) Determining the importance of key criteria in web usability Management Research News, 30(11), 816-828 Pilgrim, L (2001) Pester power is a destructive concept Young Consumers: In sight and Ideas for Responsible Marketers, 3(1), 11-21 Ramayah, T., & Ignatius, J (2005) Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online ICFAI Journal of Systems Management (IJSM), 3(3), 36-51 60 Reibstein, D J (2002) What attracts customers to online stores, and what keeps them coming back?.Journal of the academy of Marketing Science, 30(4), 465-473 Sam, M., Fazli, M., & Tahir, M N H (2009) Website quality and consumer online purchase intention of air ticket International Journal of Basic & Applied Sciences, 9(10) Shadkam, M., Kavianpour, S., Honarbakhsh, S., & Wan, H L (2013) Antecedents of Consumers' Intention to Shop online Australian Journal of Basic & Applied Sciences, 7(13) Shiau, W L., & Luo, M M (2012) Factors affecting online group buying intention and satisfaction: A social exchange theory perspective Computers in Human Behavior, 28(6), 2431-2444 Smith, A D (2004) Information exchanges associated with Internet travel marketplaces Online Information Review, 28(4), 292-300 Sobel, M E (1982) Asymptotic confidence intervals for indirect effects in structural equation models Sociological methodology, 13(1982), 290-312 Tabachnick, B.G &Fidell, L.S (1991) Using Multivariate Statistics (3rd ed.) NY, HarperCollin Venkatesh, V (2000) Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model Information systems research, 11(4), 342-365 Venkatesh, V., & Davis, F D (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies Management science, 46(2), 186-204 61 APPENDIX A B NG KH O SÁT Ý NH C A NG I TIÊU DÙNG QUA KÊNH BÁN L TR C TUY N SURVEY FORM OF CONSUMER PURCHASE INTENTION IN E-RETAILING MARKET L i đ u tiên xin đ c c m n b n dành th i gian cho b ng kh o sát ây b ng kh o sát nh m tìm y u t s nh h ng đ n d đ nh mua s m c a ng i tiêu dùng thông qua kênh bán hàng tr c n M c đích c a vi c kh o sát đ xây d ng c s d li u nh m ph c v cho vi c nghiên c u c a ng đ i xây d ng b ng kh o sát M i thông tin cá nhân c a ng c s d ng d i làm kh o sát s không i b t kì hình th c n u không nh n đu c s cho phép t ng i làm kh o sát Ng i xây d ng b ng kh o sát: Nguy n Th Thanh Tuy n - sinh viên l p MBUS - ch trình đào t o th c s qu n tr kinh doanh, tr ng ng i h c Kinh T , thành ph H Chí Minh Thông tin liên l c: 093-310-9398 - Email: tuyen.nguyen9398@gmail.com tài nghiên c u: Nh ng nhân t quy t đ nh đ n d đ nh mua hàng thông qua kênh bán l tr c n c a ng i tiêu dùng First of all, I want to thanks all participants spending time for this survey The purpose of this survey is to find out factors that influence consumer purchase intention when shopping online The purpose of this survey is to build a data helping the researcher to understand about this study All personal information of participants will not be used for any other purposes without their permission 62 Surveyor: Nguyen Thi Thanh Tuyen – MBUS 3.1 student – Master of Business Administration, Economic University HCM Contact information: 093-310-9398 or tuyen.nguyen9398@gmail.com Thesis: Antecedents of Consumer Purchase Intention in Vietnamese E-retailing Market Ph n A (Part A): Thông tin s b cá nhân (Personal information) Gi i tính (Gender) o Nam (Male) o N (Female) Tu i (Age) o 16 – 20 o 21 – 25 o 26 – 30 o 31 – 35 o Trên 35 (Above 35) H c v n (Education) o T t nghi p c p (Diploma) o T t nghi p trung c p ho c cao đ ng (Associate degree) o T t nghi p đ i h c (Bachelor) o Sau đ i h c (Master) Thu nh p h ng tháng (Monthly Income) o D i tri u (Under 5mil VND) o Trên tri u – 10 tri u (Above mil – 10 mil) o Trên 10 tri u – 15 tri u (Above 10mil – 15mil) o Trên 15 tri u – 20 tri u (Above 15mil – 20 mil) o Trên 20 tri u – 25 tri u (Above 20mil – 25mil) o Trên 25 tri u (Above 25mil) 63 Ngh Nghi p (Career) o Nhân viên v n phòng (Profesional) o Sinh viên (Student) o Khác (Others) Ph n B (Part B): Thông tin s b (General information) Anh ch mua hàng qua m ng l n n m v a qua? (How many time have you purchase online last year?) o o 1–2 o 3–5 o Trên (Above 5) Hàng hóa anh ch mua qua m ng g n nh t cách bao lâu? (How long did you make the most recent online purchase?) o Du i tháng (Under months) o Trên tháng – tháng (Above months – months) o Trên tháng – 12 tháng (Above months – 12 months) o Trên 12 tháng (Above 12 months) Ph n C (Part C): Kinh nghi m mua hàng qua m ng (Online purchasing experience) D a kinh nghi m c a vi c xem/mua hàng qua m ng Anh/ch vui long tr l i nh ng câu h id i (Based on your experience about online purchasing Please answer following questions.) Anh/Ch vui lòng khoanh tròn m t l a ch n (Please circle your choice) = r t không đ ng ́ (strongly disagree); = không đ ng ́(disagree); = phân vân(neutral); = đ ng ́ (agree) = r t đ ng ́ (strongly agree) 64 Technology Characteristics Trang Web cho phép d dàng quay tr l i nh ng trang tr 5 5 5 5 5 c (Web allows easy to return to previous display pages) Tôi có th xác đ nh v trí c a trang Web (I can determine my position within Web) Trang Web d đ nh h ng (Web is easy to navigate) Trang Web s d ng nh ng thu t ng nh t quán (Web uses understandable terms) Trang Web liên k t đ n nh ng trang hi n th thông tin chi ti t h n (Web display page provide links to more detailed information) Trang Web hi n th nh ng thông tin d đ c (The Web displays pages are easy to read) Trang Web s d ng nh ng th t ng d hi u (Web uses understandable terms) Social Influence Tôi b nh h ng b i ng i thân quy t đ nh(I’m influenced by friends, relative, colleagues, etc when making decision) Tôi có th xác đ nh v trí c a trang Web (I can determine my position within Web) Trust Mua hàng qua m ng cho c m giác tin t (The OP gives me a feeling of trust) ng 65 Tôi tin t ng vào nhà cung c p hàng hoá, d ch v 5 5 Th t d dàng đ tr nên thu n th c vi c s d ng 5 5 qua m ng (I have trust in OP vendors) Nh ng trang bán l m ng cung c p cho khách hàng nh ng thông tin đáng tin c y v s n ph m (E-retailers always provide trustworthy information about products for consumers.) Perceived Ease of Use S d ng d ch v mua hàng qua m ng d dàng đ i v i (It is easy for me to become skillful in the use of the OP services) Tôi nh n th y vi c giao d ch mua hàng qua m ng rõ ràng, d hi u (I find my interaction with the OP service clear and understandable) d ch v mua hàng qua m ng (I find my interaction with the OP service clear and understandable) Nhìn chung, nh n th y s d ng d ch v mua hàng qua m ng d dàng (Overall, I find the use of the OP service easy) Perceived Usefulness Mua hàng qua m ng cho phép ti t ki m ti n (The online purchasing (OP) enables me to save money) Mua hàng qua m ng làm cho d dàng có đ c hàng hóa (The OP makes it easier for me to obtain goods) 66 Tôi nh n th y mua hàng qua m ng h u d ng vi c 5 5 th c hi n toán (I find OP useful in conducting purchase transactions) Nhìn chung, nh n th y mua hàng qua m ng m t l i th (Overall, I find OP to be advantageous) Purchase Intention Tôi s ti p t c mua hàng qua m ng t ng lai (I will return to online purchasing site in the future) Tôi s th ng xuyên s d ng mua hàng qua m ng (I would use online purchasing for my needs) Tôi s tích c c gi i thi u vi c mua hàng qua m ng cho nh ng ng i khác (I will suggest others to make online purchasing) Thank You for Your Cooperation !!! Chân thành c m n s giúp đ c a anh/ch !!! [...]... ease of use has great influence on purchase intention Ngo (2013) studies about factors influencing consumer online purchase intention of fashion in Vietnam – the case of Zalora and found out that perceived ease of use is the strongest factors influence purchase intention directly among product and company attributes, and perceived usefulness factors Ho and Chen (2013) considers perceived ease of use... Nguyen Kim, and The Gioi Di Dong last year began to expand their investments to develop online retailing (VietNamNet Bridge) In order to be successful, e-retailers need to learn about Vietnamese consumer’s characteristics to understand consumers’ purchase intention Purchase intention refers to willingness of consumers when buying products and services online (Kimery and McCord, 2002) The purchase intention. .. usefulness and perceived ease of use influence purchase intention directly Social influence and trust influence purchase intention indirectly via mediator perceived usefulness Technology characteristics influence purchase intention indirectly via mediator perceived ease of use Following section will discuss about why those factors should be chosen to be the main antecedents of online purchase intention. .. influence perceived ease of use Technology Characteristics H5 Perceived ease of use H1 Purchase intention H3 Trust Perceived usefulness Social Influence H4 Figure 2.5: Online purchase intention model H2 19 H1: Perceived usefulness has a positive relationship with consumers’ online purchase intention H2: Perceived ease of use has a positive relationship with consumers’ online purchase intention H3: Trust... selling and buying of goods and services through computer by using internet The developing of e-retailing has led businesses to online market E-retailing gives opportunities for sellers and potential buyers to interact with each other 6 fromdistance by just one click Saving time and money are a key success for e-retailing (Awais and Samin, 2012) 2.1.2 Online Purchase Intention Customer purchase intention. .. According to Day (1969), consumer intention can be measured more effective than consumer behavior because consumer may make a purchase due to constraints rather than real preference when purchase is considered Purchase intention is one of the components of consumer behavior on how individuals want to purchase a specific brand Laroche, Kim, and Zhou (1996) suggested that purchase intention can be measured by... strong impact on purchase intension (Ngo, 2013; Ho and Chen, 2013) Ngo (2013) prove that perceived usefulness influences purchase intention directly studying about factors influencing consumer online purchase intention of fashion in Vietnam – the case of Zalora In another study, Ho and Chen (2014) proved that technology beliefs, which are represented by perceived usefulness affect purchase intention indirectly... a specific brand According to Pavlou (2003), he defined online purchase intention as a situation when consumers are willing and intend to involve in an online transaction The online transaction is defined as an activity in which information retrieval, information transfer, and product purchase are processed (Pavlou, 2003) Information retrieval and information transfer are considered as intentions to... is the sum of product of person’s normative beliefs and his or her motivation to comply The normative beliefs are perceived expectations of other individuals or groups Thus, Theory of Reasoned Action is an appropriate model for explaining and predicting personal behavioral intention or consumers’ purchase intentions Belief and Evaluations Attitude toward Behaviors (A) Behavioral Actual Intention Behavior... use influenced behavioral intention directly Thus the final version of TAM model eliminated the need for the attitude construct from the model 11 Perceived Usefulness External Variables Behavioral Intention Actual System Use Perceived Ease of Use Figure 2.4: Final version of TAM(Venkatesh&Davis,1996,p.453) 2.3 Antecedents of Online Purchase Intention Based on TRA, TPB, TAM, and prior studies, this study ... characteristics to understand consumers’ purchase intention Purchase intention refers to willingness of consumers when buying products and services online (Kimery and McCord, 2002) The purchase intention is... City – Year 2015 i ANTENCEDENTS AND MEDIATORS OF CONSUMER’S ONLINE PURCHASE INTENTION Nguyen Thi Thanh Tuyen UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business ii ACKNOWLEDGEMENTS...UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Nguyen Thi Thanh Tuyen ANTENCEDENTS AND MEDIATORS OF CONSUMER’S ONLINE PURCHASE INTENTION ID: 22120036