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研究生: 郭昱辰
Aditya Nugroho
論文名稱: 超視覺消費者在線快閃特賣活動中對價值感知之關聯:受歸因理論調節
THE RELATIONSHIP BETWEEN HYPEROPIC CONSUMERS AND PERCEIVED PRICE VALUE IN AN ONLINE FLASH SALE PROGRAM: MODERATED BY ATTRIBUTION THEORY
指導教授: 王維聰
Wang, Wei-Tsong
學位類別: 博士
Doctor
系所名稱: 管理學院 - 工業與資訊管理學系
Department of Industrial and Information Management
論文出版年: 2023
畢業學年度: 112
語文別: 英文
論文頁數: 87
外文關鍵詞: Hyperopic consumers, Perceived Price Value, Purchase Intention, Locus of control, Online flash sale
相關次數: 點閱:101下載:23
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  • Although it is fun for people to spend money to indulge themselves, hyperopic consumers usually regret purchases because they think shopping for pleasure is not a very good action. Hyperopic consumers are very common nowadays due to supporting factors of economic difficulties, individual mindsets, or influences from the surrounding environment. This hyperopic character who is reluctant to make purchases is not profitable for the seller. Sellers are looking for ways to suppress hyperopia characters through various programs, one of which is Online Flash Sale (OFS) which offers goods at attractive prices. However, even though OFS offers a variety of attractive benefits, it does not necessarily cause hyperopic consumers to be enthusiastic about participating in the OFS program.

    The hyperopia character of consumers who have many considerations before making a purchase is also caused by many factors, both internal and external. The driving factors that underlie individual decisions to participate in a program are nicely explained through the Attribution Theory. Attribution theory is the cognitive mechanism through which casual judgment is formed. Specifically, this study applies the derivation of Attribution Theory namely the concept of Locus of Control (LOC) where the concept of locus of control has been widely used to explain the inhibiting factors in participation. Our study breaks down attribution theory into two components of moderation: internal LOC for disabilities arising from the internal self and external LOC for problems generated by the retailer/ company.

    This condition leads this research to analyze how hyperopic consumers view perceived price value, and its relationship to purchase intention. Through quantitative research methods, this study distributed questionnaires to a number of populations in Indonesia to analyze research objectives. Analysis of hypotheses was performed using Partial Least Square (PLS).

    This study shows that hyperopic consumers' purchase intentions change when faced with attractive price offers in online flash sales (OFS). In the OFS program, this study finds that consumers' perceived price value increases product purchase intensity, while external and internal LOC reduce the relationship between consumer perceived price value and purchase intention in online flash sale programs. These findings provide new thinking about the characteristics of hyperopic consumers. Furthermore, by leveraging these efforts, e-tailers have to take precautions during the OFS program to avoid external difficulties by developing a robust e-commerce system.

    ABSTRACT I ACKNOWLEDGEMENT III CHAPTER 1 1 INTRODUCTION 1 1.1 Research background 1 1.2 Research Questions 5 1.3 Research objectives 5 1.4 Area of Study 6 1.5 Research Procedures 6 1.6 Research Structure 7 CHAPTER 2 8 LITERATURE REVIEW 8 2.1 Theoretical Background 9 2.1.1 Hyperopic Consumers 9 2.1.2 Perceived Price Value 11 2.1.3 Attribution Theory and concept Locus of Control 13 2.1.4 Purchase Intention 17 2.2 Variables Definition 18 2.3 Hypotheses Development 19 2.2.1 The relationship between hyperopic consumers and perceived price value 20 2.3.2 The correlation between perceived price value and OFS purchase intention 21 2.3.3 The moderating and direct effect of LOC 22 a. Moderating effect and direct effect of internal LOC 23 b. Moderating effect and direct effect of external LOC 24 CHAPTER 3 29 RESEARCH METHODOLOGY 29 3.1 The Research Model 29 3.2 The construct measurement procedures. 30 3.2.1 Hyperopic consumers 30 3.2.2 Perceived Price Value 31 3.2.3 Internal LOC 31 3.2.4 External LOC 32 3.2.5 OFS Purchase Intention 33 3.3 Design of the questionnaire and data sampling 33 3.4 Data Analysis Procedure 34 3.4.1 Descriptive Statistic Analysis 34 3.4.2 Reliability of the measurement variables 34 3.4.3 Structural Equation Model Analysis 35 CHAPTER 4 38 DATA ANALYSIS AND RESULT 38 4.1 Descriptive analysis 38 4.1.1 Pilot test 38 4.1.2 Data Collection 39 4.1.3 Characteristics of Respondents 40 4.1.4 Measuring outcomes for pertinent research variables 41 4.2 Evaluation of the measurement model 44 4.2.1 Evaluation of the second order moderating construct (ILOC and ELOC) 47 4.3 Hypotheses testing 48 4.4 The moderating effects 50 4.4.1 Moderation model generation (two-way interaction) in Smart PLS 50 4.4.2 Hierarchical moderated regression analysis 51 4.5 Evaluation of structural model 52 CHAPTER FIVE 63 DISCUSSION AND CONCLUSION 63 5.1 General discussion 63 5.2 Implications for Theory 67 5.3 Practical Implications 69 5.4 Limitations and future direction 72 5.5 Conclusion 74 REFERENCES 75 APPENDIX 82

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