Luận văn thạc sĩ UEH factors affecting consumers behavioral intention toward email marketing

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Luận văn thạc sĩ UEH factors affecting consumers behavioral intention toward email marketing

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UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Ta Thi Thu Huong FACTORS AFFECT CONSUMER’S BEHAVIORAL INTENTION TOWARD EMAIL MARKETING MASTER OF BUSINESS (Honours) Ho Chi Minh City – Year 2014 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com UNIVERSITY OF ECONOMICS HO CHI MINH CITY International School of Business Ta Thi Thu Huong FACTORS AFFECT CONSUMER’S BEHAVIORAL INTENTION TOWARD EMAIL MARKETING ID: 22110025 MASTER OF BUSINESS (Honours) SUPERVISOR: CAO HAO THI Ho Chi Minh City – Year 2014 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ACKOWLEDEGMENTS Firstly, I would like to express my deep gratitude to Dr Cao Hao Thi, my research supervisor, for his patient guidance, enthusiastic encouragement and useful critiques of this research work My grateful thanks are also extended to thank all of my friends and my colleagues, who help me collecting the survey to this research Finally, I wish to thank my family to their supports and encouragement throughout my study i LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ABSTRACT Email marketing is one of the most cost-effective marketing tools for businesses especially small companies However, many Vietnamese companies, especially small businesses have not yet taken advantage of this method On the other hand, few of studies have investigated about the Vietnamese behavior intention toward email marketing Hence, this study focuses in measuring relationship between cognitive factors – Attitude towards advertising, Perceived Benefits and Perceived Risk – and customer’s behavioral intention toward email marketing To examine research model, information and data is accessed by using questionnaire for respondents who usually use email such as office staff, student Sample size of this quantitative research is 223 respondents SPSS software is used to test measurement scale, research model and hypotheses Results in this study show that customers have intention to accept receiving email marketing if they perceive benefit and their attitude toward advertising is positive Among three impact factors, Perceived Benefit has the strongest direct influence, followed by Attitude toward advertising, and the factor Perceived Risk has not any impaction toward customer’s behavioral intention It shows that the Vietnamese customers are not worry too much about the risk of receiving unwanted email or the disclosure of the personal information Study results also suggest that in order to increase customer’s behavior intention toward email marketing, should take consideration of increasing benefit of the email content, especially some component such as fun, entertainment ii LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com TABLE OF CONTENT ACKOWLEDEGMENT…………………………………………………………… .i ABSTRACT………………………………………………………………………… ii TABLE OF CONTENT…………………………………………………………………… iii LIST OF FIGURES and TABLES…………………………………………………………vi ABBREVIATION………………………………………………………………… viii CHAPTER 1: INTRO DUCTION 1.1 Problem statement…………………………………………………………………….1 1.2 Research objectives………………………………………………………… .1 1.3 Research questions………………………………………………………… 1.4 Research scope……………………………………………………………………… 1.5 Research contribution……………………………………………………… 1.6 Research structure…………………………………………………… …………… CHAPTER 2: LITERATURE REVIEW 2.1 The effectiveness of email marketing…………………………………………………5 2.2 The theories of Behavioral Intention………………………………………………… 2.2.1 The Theory of Reasoned Action (TRA)…………………………………………8 2.2.2 The Theory of Planned Behavior (TPB)……………………………… .9 2.2.3 The Theory of Technology Acceptance Model (TAM)……………………… 10 2.2.4 Model of consumer’s acceptance toward mobile marketing………………… 10 iii LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 2.3 Research model…………………………………………………………… .12 2.3.1 Attitude toward advertising……………………………………… ………… 13 2.3.2 Benefits in receiving………………………………………………… .14 2.3.3 Perceived Risk……………………………………………………… 17 2.3.4 Attitude toward email marketing…………………………………… 17 2.4 Chapter summary……………………………………………………………………18 CHAPTER 3: RESEARCH METHODOLOGY 3.1 Research Process………………………………………………………… .19 3.2 Source data for research………………………………………………… 19 3.3 Research method…………………………………………………………………….20 3.4 Sample design and size…………………………………………………… .20 3.5 Measurement scale………………………………………………………………… 21 3.6 Method of survey data analysis…………………………………………… .23 3.7 Pilot survey result……………………………………………………………………23 3.8 Chapter summary……………………………………………………………………24 CHAPTER 4: DATA ANALYSIS 4.1 Descriptive analysis…………………………………………………………………25 4.2 Reliability analysis………………………………………………………………….28 4.3 Exploratory factor analysis (EFA)………………………………………………… 31 4.3.1 Reliable measurement…… ………………………………………………….32 iv LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 4.3.2 Correlation Matrix…… …………………………………………………….34 4.3.3 Factor extraction…… …………………………………………………… 37 4.3.4 Results and interpretation …… ……………………………………………40 4.4 Multiple regression analysis……………………………………………… .43 4.4.1 Correlation analysis……………………………………………………………43 4.4.2 Regression analysis……………………………………………………………44 4.4.3 Hypotheses testing…………………………………………………………… 45 4.4.4 Summary of hypotheses testing……………………………………………… 46 4.5 Testing the difference on customer characteristic……………………… 47 4.5.1 Testing the difference on age and gender.………………………………… 47 4.5.2 Testing the difference on education background…………………… .49 4.5.3 Testing the difference on occupation………………………………………….50 4.6 Chapter summary……………………………………………………………………51 CHAPTER 5: CONCLUSION AND RECOMMENDATION 5.1 Conclusion………………………………………………………………………… 52 5.2 Recommendation……………………………………………………………………53 5.3 Limitation and suggestion for further research…………………………… .54 REFERENCES……………………………………………………………………………….55 APPENDICES……………………………………………………………………………… 59 v LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com LIST OF FIGURE AND TABLES Figure 2.1: The basic theory of reasoned action (TRA)………………………………… Figure 2.2: The model of consumer acceptance toward mobile marketing…………… 11 Figure 2.3: The model of consumer acceptance toward email marketing……… 13 Figure 3.1: Research framework……………………………………………………… 19 Figure 4.1: Time of using internet each day…………………………………………… 27 Figure 4.2: Scree plot…………………………………………………………………….42 Figure 4.3: The reconstructed research model………………………………………… 42 Table 2.1: SWOT analysis of email marketing………………………………………… Table 2.2: Compares email to other forms of direct and internet marketing…………… Table 3.1: Factors and Variables……………………………………………………… 21 Table 4.1: Gender of respondents……………………………………………………… 25 Table 4.2: Age of respondents………………………………………………………… 26 Table 4.3: Occupation of respondents ………………………………………………… 26 Table 4.4: Age of respondents ………………………………………………………… 26 Table 4.5: Income of respondents ……………………………………………………….27 Table 4.6: Reliability analysis of each variable………………………………………….29 Table 4.7: KMO and Barlett’s Test…………………………………………………… 33 Table 4.8: Total Variance Explained…………………………………………………….35 vi LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Table 4.9: Table of communalities before and after extraction………………………….36 Table 4.10: Component matrix before rotation………………………………………….38 Table 4.11: Rotated Component Matrix………………………………………… 38 Table 4.12: The rotation of variables….………………………………………… 42 Table 4.13: Correlations between groups of variables in Regression Analysis…………44 Table 4.14: Result of regression analysis……………………………………………… 45 Table 4.15: Result of regression analysis……………………………………………… 45 Table 4.16: Result of comparing customer’s satisfaction among age………………… 47 Table 4.17: Result of comparing customer’s behavioral intention among gender 48 Table 4.18: Result of comparing among education background……………………… 49 Table 4.19: Result of comparing among occupation…………………………………….50 vii LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ABBREVIATIONS EFA: Explored factor analysis KMO: Kaiser-Meyer-Olkin SPSS: Statistical Package for the Social Sciences viii LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com which, the component of “see advertising a good thing” have made higher impaction What is measurement scale of the customer’s behavioral intention toward email marketing? In the chapter 3, the measurement scales for customer’s behavioral intention toward email marketing was displayed with 19 attributes After the factor analysis step, 19 attributes was analyzed to confirmed that these are have made significant contribution to measure the customer’s behavioral intention toward email marketing How strength of each factor in the relationship with the customer’s behavioral intention toward email marketing? With the two supported hypotheses that was presented in the chapter 4, the results of hypotheses has shown the strength of relationship between each factor with the customer’s behavioral intention toward email marketing as following: H1: The more positive the attitudes toward advertising in general, the more positive the attitudes toward email marketing If the factor Attitude improves by one unit, the factor Behavioral Intention will increased by 0.134 units H2: The higher the benefit in receiving email marketing, the more positive the attitude toward email marketing If the factor Perceived Benefit improves by one unit, the factor Behavioral Intention will increased by 0.704 units 5.2 Recommendation In the chapter 4, the regression equation shows that the two factors Attitude toward 54 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com advertising and Perceived Benefits have positive impact while the factor Perceived Risk has negative impact on customer’s behavioral intention As the result, the factor Perceived benefits has the highest effect on customer’s behavioral intention, in which, the benefits of entertainment are considered as a most impact to behavioral intention, following is information benefits and benefit in general Hence, to improve the positive behavior of customer toward email marketing, marketers should improve the benefit for customers when they send an email marketing By focusing on the value of entertainment, information and the usefulness of email’s content, the marketer will reach the need of customers and make them to be a volunteer receiver About the factor Attitude to advertising in general, marketers cannot directly increase customer’s attitude toward advertising, however, they can improve their advertising campaign to provide customers more interesting advertising indirectly 5.3 Limitation and suggestion for further research Beside findings that the study contributes to email research field or business field, this study has several limitations such as the conceptual model, the measurement scale and geography Firstly, the conceptual model could be added more factors to investigate such as design of emails, sender’s reputation or time of sending Secondly, the conceptual model was simple and not enough to measure the customer’s behavioral intention more exactly Thirdly, the samples have just collected in Ho Chi Minh City, if they were collected from more other big cities such as Ha Noi, Da Nang, Can Tho, the study would be more valuable Besides, most of the samples were collected conveniently through the author’s friends, colleagues and classmate who usually are office staff or student If the author can expand the survey to more companies and schools, the research results will become more reliable 55 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com REFERENCES Ajzen, I & Fishbein, M (1980) Understanding attitudes and predicting social behavior Englewood Cliffs, NJ: Prentice-Hall Berry, G.L (1995) Relationship Marketing of Services Growing Interest, Emerging Perspectives Journal of the Academy of Marketing Science, 23 (4), 236 -245 Berry, L.L (1983) Relationship Marketing In L.L Berry, G.L Shostack, and G.D Upah (eds.), Emerging Perspectives of Services Marketing, American Marketing Association, Chicago, IL BlueHornet Network (2013), 2013 Consumer Views of Email Marketing Business Wire (2009) E-mail preferred marketing channel; 75% of consumer impulse buy from e-mail marketing, reveals smart FOCUS survey Business Wire, Tuesday October 27 2009 Chad White (2005), Email Navigation Differs Radically from Website Navigation: Navigation Bars and Site Search Usage in Retail Emails, Smith-Harmon website Charlesworth (2009), Internet marketing: a practical approach Oxford, ButterworthHeinemann Elsevier Chris Baggott (2007), Email marketing by the numbers: How to Use the World’s Greatest Davis, F D (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3): 319–340Ferguson, A & Perse, M (2000) The World Wide Web as a functional alternative to television Journal of Broadcasting & Electronic Media, 44(2), 155 – 174 Davis, F D.; Bagozzi, R P.; Warshaw, P R (1989), "User acceptance of computer technology: A comparison of two theoretical models", Management Science 35: 982– 1003 56 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Eighmey, J (1997) Profiling User Responses to Commercial Web Sites Journal of Advertising Research, 37 (3), 59 – 66 Fernandez, J (2009) Email marketing: Personal touch sends out the right message Marketing Week, Thursday June 25 2009, 27 Festinger, L., Theorie der kognitiven Dissonanz, Stanford Univ Press, Bern, 1978 Fishbein, M & Ajzen, I (1975) Belief, attitude, intention, and behavior: An introduction to theory and research Reading, MA: Addison-Wesley Fornell, C (1992) A national customer satisfaction barometer: The Swedish experience Journal of Marketing, 56, 6-21 Forrester Research (2012), Forrester Research Interactive Marketing Forecast By Industry, 2012 To 2017 (US) Godin, Seth (1999), Permission Marketing: Turning Strangers Into Friends, and Friends into Customers, Simon & Schuster Goodwin, C (1997) Communality as a dimension of service relationships Journal of Consumer Psychology, 5, 387 – 415 eMarketer (2000), Email Marketing Report, eMarketer, New York, N.Y Goodwin, C and Gremler, D.D (1996) Friendship over the counter: how social aspects of service encounters influence consumer service loyalty In T.A Swartz, D.E Bowen, & S.W Brown (Eds.), Advance in Services Marketing and Management, JAI Press, Greenwich, CT, 5, 247 – 282 Gwinner, K., Gremier, D.D., and Bitner, M.J (1998) Relational Benefits in Services Industries: The Customer’s Perspective Journal of Acedemy of Marketing Science, 26 (2), 101 -114 57 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Hans H Bauer, Tina Reichardt, Stuart J Barnes, Marcus M Neumann (2005), Driving Consumer Acceptance of Mobile Marketing: A Theoretical Framework and Empirical Journal of Electronic Commerce Research Hale, J.L.; Householder, B.J & Greene, K.L (2002) The theory of reasoned action In J.P Dillard & M Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp 259–286) Thousand Oaks, CA: Sage Hennig-Thurau, T., Gwinner, K.P., and Gremler, D.D (2002) Understanding Relationship Marketing Outcomes: An integration of Relational Benefit and Relationship Quality Journal of Service Reseach, (3), 230 – 247 Im, S., B.L Bayus and C.H Mason (2003), An Empirical Study of Innate Consumer Innovativeness, Personal Characteristics, and New-Product Adoption Behavior Journal of the Academy of Marketing Science, Vol 31, No 1: 61-73, 2003 Kaas, K.P (1990) “Nutzen und Kosten der Werbung", ZfbF, Vol 42, No 6: 492-504 Katz, E., H Haas, and M Gurevitch (1973) On the Use of the Mass Media for Important Things, American Sociological Review, Vol 38, No 2: 164-181 Kristie Lorette (2011), The Effect of Email Marketing on Consumer Behaviour, Demand Media Krishnamurthy, S (2001), A Comprehensive Analysis of Permission Marketing Journal of Computer-Mediated Communication Journal of Electronic Commerce Research v.6, n.3 Korgaokar, K & Wolin, D (1999) A multivariate analysis of web usage Journal of Advertising Research, 39 (2), 53 – 68 MacPherson, K (2001), Permission based e-mail marketing that works Dearborn Trade Marko Heintie (2010), Critical factors affecting email as a marketing communication channel – Case study: RealEasyMailer Marketing Tool to Take Any Organization to Next Level, pp 17-23 58 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Miller, K (2005), Communications theories: perspectives, processes, and contexts New York: McGraw-Hill Mitchell, V.-W., Consumer Perceived Risk: Conceptualisations and Models, Journal of Marketing, Vol 33, No 1: 163-196, 1999 Niall, J (2000), The Email Marketing Dialogue, Forrester, Cambridge, M.A Papacharissi, Z and Rubin, A M (2000) Predictors of Internet Use Journal of Broadcasting & Electronic Media, 44, 175-196 Price, L.L & Arnould, E.J (1999) Commercial friendship: Service provider-client relationship in context Journal of Marketing, 63 (4), 38 – 56 Rask, M and Dholakia, N (2000), "Next to the Customer's Heart and Wallet: Frameworks for Exploring the Emerging M-commerce Arena", working paper Reichheld, F.F., Markey, R.G., and Hopton, C Jr (2000) E-Customer Loyalty – Applying the Traditional Rules of Business for Online Success European Business Journal, 12 (4), 173 – 179 Reynolds, K.E., and Beatty, S.E (1999) Customer Benefits and Company Consequences of Customer-Salesperson Relationship in Retailing Journal of Retailing, 75 (1), 11-32 Roberts, M.L and Berger, P.D (1989), Direct Marketing Management, Prentice-Hall, Englewood Cliffs, N J Ruth Rettie (2002), Kingston University, The success factor of Email Marketing Selnes F (1993) An Examination of the Product Performance on Brand Reputation Satisfaction and Loyalty European Journal of Marketing, 27 (9), 12-35 Simms Jenkins (2008), The Truth about email marketing, pp.1-13 Silberer, G and J Wohlfahrt, “Akzeptanz und Wirkungen des Mobile Banking", Strategien im M-Commerce, Alexander Nicolai and Thomas Petersmann (eds.), Schäffer-Poeschel, Stuttgart, pp 161-176, 2001 59 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Stone, B (1996), Successful Direct Marketing Methods, NTC Publishing Group, Chicago TP (2012), Chỉ 5% doanh nghiệp Việt Nam biết dùng Internet Marketing ICT News Retrieved from website: http://ictnews.vn/home/Internet/77/Chi-5-doanh-nghiep-VietNam-biet-dung-Internet-Marketing/106551/index.ict Udo, G.J., Bagchi, K.K., Kirs, P.J (2010) An assessment of customers’ e-service quality perception, satisfaction and intention International Journal of Information Management, 30, 481-492 Vriens, M., van der Scheer, H.R., Hoekstra, J C and Bult, J R (1998), Conjoint Experiments for Direct Mail Response Optimization, European Journal of Marketing, v.32, n.3, p 323- 339 W Jeffrey Rice, Sergio Balegno, Adam T Sutton (2012), Email Marketing Benchmark Report 2012, MarketingSherpa LLC Retrieved from website: http://ftp.marketingsherpa.com/Marketing%20Files/PDF%27s/Executive%20Summary/ 2012EmailBMRExcerpt.pdf Yeshin, T (1998), Integrated Marketing Communications, ButterworthHeinemann,Oxford,U.K 60 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com APPENDICES APPENDIX 1: Measurement scale of factors No Attributes Scale items My general intention to receive email marketing is very high Behavioral intention Sources I will think about receiving toward email email marketing marketing Hans H Bauer, Tina Reichardt, I will receive email marketing in the future Stuart J Barnes, Marcus M Neumann (2005) I find receiving advertising email Shimp and Kavas (1984) positive Attitudes toward email I marketing receiving advertising emails Generally, I find advertising a Hans H Bauer, Tina Reichardt, Attitude good thing toward appreciate advertising Stuart J Barnes, Marcus M Neumann (2005); Pollay and I like advertising Mittal (1993) Through advertising messages via emails, I receive timely Information information Benefits Through advertising messages Hans H Bauer, Tina Reichardt, via emails, I receive exclusive Stuart J Barnes, Marcus M information 10 Benefit receiving in The advertising Neumann, 2005 messages customized to my profile are useful 61 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com I can benefit from advertising 11 messages via email I forward email marketing I like 12 to my friends Social Benefit 13 By receiving advertising messages via the email, I can demonstrate my innovativeness to my friends The 14 15 advertising emails customized to my profile are fun Entertainment I find advertising messages via Benefit email exciting I 16 find email marketing is entertaining There is a risk of personal data 17 18 being misused when register to Perceived receive email marketing Risk There is a risk of receiving unwanted email when receiving Hans H Bauer, Tina Reichardt, Stuart J Barnes, Marcus M Neumann (2005) Hess (1995) email marketing 62 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com APPEDIX 2: Questionnaire in both Vietnamese and English version BẢNG KHẢO SÁT Xu hướng hành vi người tiêu dùng email marketing Kính chào Anh/Chị, Tơi tên Tạ Thị Thu Hương, học viên Viện đào tạo quốc tế ISB - Trường Đại học Kinh tế TP.HCM Hiện nay, nghiên cứu đề tài “Xu hướng hành vi người tiêu dùng email marketing”, đó, tơi tiến hành khảo sát nhằm tìm hiểu ý kiến Anh/Chị Rất mong nhận giúp đỡ Chị/Anh để giúp hoàn thành khảo sát cách cho biết mức độ đồng ý Anh/Chị phát biểu Tất ý kiến Chị/Anh có giá trị nghiên cứu Tôi xin cam kết thông tin Chị/Anh bảo mật dùng với mục đích phục vụ nghiên cứu Mọi thông tin liên quan đến đề tài này, xin liên hệ địa email huongttt8@gmail.com Tôi xin chân thành cám ơn giúp đỡ Chị/Anh HƯỚNG DẪN TRẢ LỜI Anh/chị vui lòng đánh giá mức độ đồng ý với phát biểu dây theo quy ước từ mức (hồn tồn khơng đồng ý) đến mức (hồn tồn đồng ý) sau: 63 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 1.Hồn tồn khơng đồng ý Trung lập (khơng có ý Đồng ý kiến) Khơng đồng ý Hoàn toàn đồng ý Hơi đồng ý Hơi khơng đồng ý STT Thuộc tính Mức độ đồng ý Phát biểu Generally I find advertising a good thing Attitudes towards Ads Nhìn chung tơi thấy quảng cáo điều tốt Attitudes towards Ads I like advertising Tơi thích quảng cáo I Entertainment Benefit find advertising messages via email marketing exciting Tôi thấy nội dung từ email quảng cáo thú vị The advertising messages customized to my Entertainment Benefit profile are fun Tôi thấy nội dung quảng email quảng cáo gửi cho vui nhộn Participating in an lottery through email marketing is fun Entertainment Benefit Tham gia vào trò chơi trúng thưởng tổ chức qua email quảng cáo niềm vui 64 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com I Entertainment Benefit find email marketing messages are entertaining Nội dung email quảng cáo giúp tơi giải trí Through email advertising messages, I receive timely information Information Benefit Thông qua email quảng cáo, cập nhật thông tin Through advertising messages via the email marketing, I receive exclusive information Information Benefit Thông qua email quảng cáo, nhận thơng tin phù hợp với I forward email marketing I like to my friends Social Tôi gửi chuyển tiếp email quảng cáo Benefit mà tơi thích cho bạn bè tơi By using advertising messages via the email marketing 10 Social I can demonstrate my innovativeness to my friends Benefit Sử dụng email quảng cáo tơi thể sáng tạo với bạn bè The advertising messages customized to my 11 Benefit receiving in profile are useful Nội dung quảng cáo gửi đến email tơi hữu ích 65 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com I can benefit from advertising messages via 12 Benefit in receiving email Tơi hưởng lợi từ email quảng cáo There is a risk of personal data being misused 13 Perceived Risk when receiving email marketing Có nguy việc liệu tin cá nhân bị lạm dụng nhận email quảng cáo There is a risk of receiving unwanted email 14 Perceived Risk when register to receive email marketing Có nguy việc nhận email quảng cáo có nội dung khơng mong muốn I find receiving advertising messages via the Attitudes 15 email positive towards email MKT Tôi thấy nhận email quảng cáo việc có tính chất tích cực I appreciate receiving advertising messages via Attitudes 16 email towards email MKT Tôi đánh giá cao nội dung quảng cáo qua email My general intention to receive email- 17 Behavioral Intention marketing services is very high Nhìn chung tơi có xu hướng đọc email quảng cáo cao 66 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com 18 Behavioral Intention I will think about receiving email marketing Tôi nghĩ đến việc đọc email quảng cáo I will recieve email marketing services in the 19 Behavioral Intention future Tôi nhận email quảng cáo tương lai Thông tin cá nhân Anh/Chị: Giới tính:  Nam  Nữ Độ tuổi:  Dưới 18 tuổi  26 – 35 tuổi  18 – 25 tuổi  Trên 35 tuổi 67 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com Nghề nghiệp anh/chị:  Học sinh, sinh viên  Nhân viên văn phòng  Nội trợ  Tự kinh doanh  Khác: …………… Trình độ học vấn anh/chị:  Trung học  Đại học  Trung cấp  Sau đại học  Cao đẳng  Khác: ……………… Thu nhập  Dưới triệu  – 10 triệu  4-6 triệu  Trên 10 triệu Thời gian sử dụng internet ngày  Dưới  –  –  Hơn  – Xin cảm ơn Anh/Chị hỗ trợ! 68 LUAN VAN CHAT LUONG download : add luanvanchat@agmail.com ... intention toward email marketing? - What is measurement scale of the customer’s behavioral intention toward email marketing? - How strength of each factor in the relationship with the behavioral intention. .. key factors that affect the consumer’s behavioral intention include attitudes toward advertising, perceived benefits, perceived risk in receiving email marketing, attitudes toward email marketing, ... Factor Behavioral intention - BI3 - I will receive email marketing in the future BI4 - By using email marketing messages, I can demonstrate my towards innovativeness to my friends email marketing

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Mục lục

  • BÌA

  • ACKOWLEDEGMENTS

  • ABSTRACT

  • TABLE OF CONTENT

  • LIST OF FIGURE AND TABLES

  • ABBREVIATIONS

  • CHAPTER 1: INTRODUCTION

    • 1.1 Problem statement

    • 1.2 Research objectives

    • 1.3 Research questions

    • 1.4 Research scope

    • 1.5 Research contribution

    • 1.6 Research structure

    • CHAPTER 2: LITERATURE REVIEW

      • 2.1 The effectiveness of email marketing

      • 2.2 The theories of behavioral intention

        • 2.2.1 The Theory of Reasoned Action (TRA)

        • 2.2.2 The Theory of Planned Behavior (TPB)

        • 2.2.3 The Theory of Technology Acceptance Model (TAM)

        • 2.2.4 Model of consumer’s acceptance toward mobile marketing

        • 2.3 Research model

          • 2.3.1 Attitude toward advertising

          • 2.3.2 Benefits in receiving

          • 2.3.3 Perceived Risk

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