ISB-MBUS INFORMATION FORM 1.Name: Nguyễn Thị Đoan Thanh 2.Date of Birth: 30-Aug-1988 Course year: MBUS 7.1 Mobile: 0908700476 Email: thanhntd3008@gmail.com _ Home address: 276/105/23 Thong Nhat, Ward 16, Go Vap, Ho Chi Minh Occupation: Sales Manager Position: Office name: UPM Raflatac Office location: Lot 1Pa4, Binh An Textile & Garment Industrial Zone, Binh Thang Ward, Di An District, Binh Duong Province 10 How have I changed after two years studying at ISB? ISB provides me chance to study relevant issues and intelligent insight on business trends, issues and the economy from a larger perspective Programs are designed to utilize case studies from a variety of sectors: human resource, supply chain, finance from Vietnam to some well-known multinational companies to solidify business knowledge More than that, I have very good friendship with my teammates Our group of people looks like a family, we support and share the good and bad times in life 11 What I want to share with the juniors is: Don’t try to meet traditional expectations of what your career and lives ought to look like after graduation You shouldn’t think that your MBA like an obligation but you should consider this is wonderful opportunity to develop yourself and expand your network Moreover, you should seize chances to study how people resolve their problems as well as what you learn from every subject then apply these valuable lessons to your daily work .Last but certainly not least, remember to expand and connect your instructors, classmates and seniors because connection and network are powerful, essential and far-yielding WISHING YOU EVERY SUCCESS IN YOUR CHOSEN PATH! CỘNG HÒA XÃ HỘI CHỦ NGHĨA VIỆT NAM Độc lập – Tự – Hạnh phúc -o0o - BẢN CAM ĐOAN Họ tên học viên: Nguyễn Thị Đoan Thanh Ngày sinh : 30/08/1988 Nơi sinh : Vĩnh Long Ngày trúng tuyển đầu vào năm : 2016 Là tác giả đề tài luận văn : The impact of social media on consumers Do age and gender moderate the effect of social media on trust? Giáo viên hướng dẫn : Đoàn Anh Tuấn Ngành : Mã số : 22160043 Bảo vệ luận văn ngày : 12/11/2018 Điểm bảo vệ luận văn : Tôi cam đoan chỉnh sửa nội dung luận văn thạc sĩ kinh tế với đề tài trên, theo góp ý Hội đồng chấm luận văn thạc sĩ TP Hồ Chí Minh, ngày Người cam đoan tháng năm Chủ tịch Hội đồng chấm luận văn (Ký ghi rõ họ tên) (Ký ghi rõ họ tên) Nguyễn Thị Đoan Thanh Hội đồng chấm luận văn 05 (năm) thành viên gồm : Chủ tịch :…………………………………………………………………… Phản biện 1:………………………………………………………………… Phản biện 2: ………………………………………………………………… Thư ký : ……………………………………………………………………… Ủy Viên : …………………………………………………………………… CỘNG HÒA XÃ HỘI CHỦ NGHĨA VIỆT NAM Độc lập – Tự – Hạnh phúc -o0o - BẢNG TỔNG HỢP NỘI DUNG CHỈNH SỬA LUẬN VĂN SAU BẢO VỆ THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST STT Nhận xét Hội đồng Check the grammar of the title of the thesis In the introduction session, the author should discuss how could the research objectives/goals had been set The research objectives (on page 12) were given but not strongly link to the previous paragraphs Why does the author investigate the moderating effect of age and gender? Does the investigation fill a research gap? This should be more in the introduction section H2a and H2b need to be argued separately H2a should show the direction of the moderating effect, negative or positive H2b should be stated more clearly I’m not sure what does “moderated by gender” mean 10 The author uses social network to invite informants to participate in the survey using a convenient approach How can we check the legitimacy of the sample? The sample and results of qualitative pilot study is a bit vague It should be stated clearer the opinions of 30 respondents (office staff, students, household, manager) The author should discuss the sample characteristics What is the potential implication withdrawn from the sample characteristics The unsupported moderating hypotheses are not wellexplained The author should add more discussion on this result Why age and gender not moderate the effect of social media on trust? 10 16 16 16 17 19 21 23 32 36, 37, 38, 41, 42, 43, 52 constructs”, “if this correlation was equal 0.40 or above the item would be probably correlated with most of the other items and make a good element of this summated rating scale If the item – total correlation was negative or too low (less than 0.30)”, it was compulsory to pay more attention on “the item for wording problems and conceptual fit by modifying or deleting such items”, “in terms of its fit to the hypothesized population model”; its indices could be created to “help with model interpretation” , “insight into the relationships among independent variables in their prediction of the dependent measurement”, “linear relationship between each of the predictor variables”, the “suggested cutoff for the tolerance value was 10 (or equivalent to VIF of 10.0), which corresponds to a multiple correlation of 95 with the other independent variables”, “correlation of each specific item with total of the other items in the scale (Corrected ItemTotal correlation)”, “better recovery of factor structure than shorter tests, and when the correlation between the factors was very great”, “the items and factor loading for rotated factors with loading”, according to (McCloskey, 2006) age effects the initial decision with regard to “whether to purchase on the internet, but not the subsequent behavior of e-shoppers, such as the number of transactions or the amount spent”, “status of experienced e-shoppers, their behavior is indistinguishable, independently of their age, gender or income level” (Hernández et al, 2011) incorrect citation remove “ ” HỌC VIÊN (Ký, ghi rõ họ tên) UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Nguyen Thi Doan Thanh THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST? MASTER OF BUSINESS (HONOURS) Ho Chi Minh City – Year 2018 UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Nguyen Thi Doan Thanh THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST? MASTER OF BUSINESS (HONOURS) SUPERVISOR: DR DOAN ANH TUAN Ho Chi Minh City – Year 2018 Contents List of figure List of table ACKNOWLEDGEMENT ABSTRACT Introduction Literature review and hypothesis 2.1 Technology acceptance model (TAM) and theory of planned behavior (TP 2.2 Social media and trust 2.3 Age and gender 2.4 Effect of trust on intention to buy and perceived usefulness 2.5 Perceived usefulness and intention to buy 2.6 Hypotheses Research methodology 3.1 Research procedure 3.2 Measurement of the constructs 3.3 Data analysis and method Measure validation Cronbach’s alpha Exploratory factor analysis (EFA) Multiple regression analysis Data analysis and results 4.1 Sample characteristic 4.2 The reliability test 4.3 Exploratory factor analysis (EFA) 4.4 Confirmatory Factor Analysis (CFA) result 4.5 Research hypotheses test 4.6 Results of Multi-group analysis Discussion and implications, limitations and directions for future research 5.1 Discussion 5.2 The main results Result contributions to theory Result contributions to management practices 5.3 Limitations and directions for future research 5.4 Conclusion Reference 58 Appendix 1: Primarily questionnaire 72 Appendix 2: Cronbach’s Alpha Reliability 77 Appendix 3: CFA results and regression 79 Appendix 4: SEM result 83 Appendix 5: Moderating role of gender 87 Appendix 6: Moderating role of age 89 Item-Total Statistics PU1 PU2 PU3 Reliability Statistics Cronbach's Alpha 776 I1 I2 I3 78 Appendix 3: CFA results and regression Notes for Model (Default model) Computation of degrees of freedom (Default model) Number of distinct sample moments: Number of distinct parameters to be estimated: Result (Default model) Estimates (Group number - Default model) Scalar Estimates (Group number - Default model) Maximum Likelihood Estimates Regression Weights: (Group number - Default model) T1 T2 T3 T4 SM1 SM2 SM3 SM4 PU1 PU2 PU3 I1 I2 I3 79 Covariances: (Group number - Default model) Trust Trust Trust SM SM PU Variances: (Group number - Default model) Trust SM PU Intention e1 e2 e3 e4 e5 e6 e7 e8 e9 e10 e11 e12 e13 e14 80 Model Fit Summary CMIN Model Default model Saturated model Independence model RMR, GFI Model Default model Saturated model Independence model Baseline Comparisons Model Default model Saturated model Independence model Parsimony-Adjusted Measures Model Default model Saturated model Independence model NCP Model Default model Saturated model Independence model 81 FMIN Model Default model Saturated model Independence model RMSEA Model Default model Independence model Execution time summary Minimization: Miscellaneous: Bootstrap: Total: 82 Appendix 4: SEM result Notes for Model (Default model) Result (Default model) Minimum was achieved Chi-square = 150.587 Degrees of freedom = 73 Probability level = 000 Trust PU Intention Intention T1 T2 T3 T4 SM1 SM2 SM3 SM4 PU1 PU2 PU3 I1 I2 I3 Standardized Regression Weights: (Group number - Default model) Trust PU Intention Intention T1 T2 T3 T4 83 SM1 SM2 SM3 SM4 PU1 PU2 PU3 I1 I2 I3 SM e15 e17 e16 e1 e2 e3 e4 e5 e6 e7 e8 e9 e10 e11 e12 e13 e14 84 Squared Multiple Correlations: Trust PU Intention I3 I2 I1 PU3 PU2 PU1 SM4 SM3 SM2 SM1 T4 T3 T2 T1 Model Fit Summary Model Default model Saturated model Independence model RMR, GFI Model Default model Saturated model Independence model 85 Baseline Comparisons Model Default model Saturated model Independence model Parsimony-Adjusted Measures Model Default model Saturated model Independence model NCP Model Default model Saturated model Independence model NCP Model Default model Saturated model Independence model FMIN Model Default model Saturated model Independence model RMSEA Model Default model Independence model 86 Appendix 5: Moderating role of gender CMIN Model Unconstrained Structural weights Saturated model Independence model Baseline Comparisons Model Unconstrained Structural weights Saturated model Independence model Parsimony-Adjusted Measures Model Unconstrained Structural weights Saturated model Independence model NCP Model Unconstrained Structural weights Saturated model Independence model FMIN Model Unconstrained Structural weights Saturated model Independence model 87 RMSEA Model Unconstrained Structural weights Independence model 88 Appendix 6: Moderating role of age CMIN Model Unconstrained Structural weights Saturated model Independence model Baseline Comparisons Model Unconstrained Structural weights Saturated model Independence model Parsimony-Adjusted Measures Model Unconstrained Structural weights Saturated model Independence model NCP Model Unconstrained Structural weights Saturated model Independence model FMIN Model Unconstrained Structural weights Saturated model Independence model RMSEA Model Unconstrained Structural weights 89 Model Independence model 90 ... VỆ THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST STT Nhận xét Hội đồng Check the grammar of the title of the thesis In the introduction... Thi Doan Thanh THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST? MASTER OF BUSINESS (HONOURS) Ho Chi Minh City – Year 2018 UNIVERSITY OF ECONOMICS... International School of Business Nguyen Thi Doan Thanh THE IMPACT OF SOCIAL MEDIA ON CONSUMERS DO AGE AND GENDER MODERATE THE EFFECT OF SOCIAL MEDIA ON TRUST? MASTER OF BUSINESS (HONOURS)