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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mincheol Kang | - |
| dc.contributor.author | NANDA SHRABANI | - |
| dc.date.issued | 2024-02 | - |
| dc.identifier.other | 33489 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38840 | - |
| dc.description | 학위논문(박사)--경영학과,2024. 2 | - |
| dc.description.abstract | The existing corpus of research emphasizes how important perceived value is in determining consumers' intentions to make purchases. However, inconsistent research results about the nature of this relationship call for additional investigation into the possibility of nonlinear relationship among consumer’s purchase intention and their perceived values (such utilitarian, hedonistic, and social). This study also explores the role of predisposition for online interaction propensity and information-seeking behavior as moderating factors. Based on 839 valid responses, nine hypotheses were created and analyzed. The findings show a curvilinear association only between social values and buying intentions, and a moderating influence of OIP that is significantly detrimental on consumers' purchasing intentions. This study unveiled a primarily linear relationship between other two values providing a foundational understanding. However, delving deeper into the investigation, a fascinating revelation emerged when the research model encountered data from Asian and Western samples. Contrary to the anticipated linearity, a distinctive non-linear curve manifested itself. Additionally, the study looks into market segmentation by emphasizing psychographic characteristics for value-based customer classification. One important technique is psychographic segmentation analysis, which groups customers according to their perceived values. In this study, YouTube users' opinions of videos promoting skincare products are examined using psychographic segmentation. This research intent to aid in the creation of marketing plans that effectively convert favorable consumer impressions into actual product purchases. It aims to increase the understanding of the salient features that consumers experience in the context of skincare product videos. Additionally, it starts a comparative analytical investigation between the USA and India, two geographically different nations. Keywords: Online interaction propensity, Purchase intention, U-shaped relationship, Market segmentation, Perceived values, Skin care products, YouTube | - |
| dc.description.tableofcontents | Chapter 1 Introduction . 1_x000D_ <br> 1.1 Introduction 1_x000D_ <br> 1.2 Background of the study 1_x000D_ <br> 1.3 Research Objectives . 7_x000D_ <br> 1.4 Significance of the study 10_x000D_ <br> 1.5 Scope of the study 12_x000D_ <br> 1.6 Organization of the remaining chapters 12_x000D_ <br>Chapter 2 Literature Review 13_x000D_ <br> 2.1 YouTube as the marketing channel 13_x000D_ <br> 2.2 Perceived Value 14_x000D_ <br> 2.2.1 Utilitarian value 15_x000D_ <br> 2.2.2 Hedonic value . 16_x000D_ <br> 2.2.3 Social value . 17_x000D_ <br> 2.3 Market Segmentation 18_x000D_ <br>Chapter 3 U-shaped relationship between consumer's perceived value and purchase intention 22_x000D_ <br> 3.1 Hypothesis Development 22_x000D_ <br> 3.1.1 Perceived value and purchase intention 22_x000D_ <br> 3.1.2 Moderating role of information seeking behavior 28_x000D_ <br> 3.1.3 Moderating role of online interaction propensity 30_x000D_ <br> 3.2 Research Design 32_x000D_ <br> 3.2.1 Collection of Data 32_x000D_ <br> 3.2.2 Measurements . 34_x000D_ <br> 3.2.3 Analysis Methods 34_x000D_ <br> 3.2.4 Hypothesis Test 35_x000D_ <br> 3.3 Discussion 41_x000D_ <br> 3.4 Examining the curvilinear relationship between consumer's perceived values and purchase intention- the case of Indian and American consumers. 44_x000D_ <br> 3.4.1 Data collection 44_x000D_ <br> 3.4.2 Result 45_x000D_ <br> 3.4.3 Discussion . 47_x000D_ <br>Chapter 4 Study of consumer segmentation for the YouTube users of skincare products. 48_x000D_ <br> 4.1 Research Framework . 49_x000D_ <br> 4.1.1 Data collection 49_x000D_ <br> 4.2 Measurements 51_x000D_ <br> 4.3 Analysis . 51_x000D_ <br> 4.3.1 Validity of measurement model . 52_x000D_ <br> 4.3.2 Multi-group confirmatory factor analysis (MCFA) . 53_x000D_ <br> 4.3.3 Cluster Analysis . 56_x000D_ <br> 4.4 Market segmentation implementation 58_x000D_ <br> 4.4.1 Identifying variables within the clusters 58_x000D_ <br> 4.4.2 Characteristics analysis of the clusters . 58_x000D_ <br> 4.4.3 The cross-national analysis . 61_x000D_ <br> 4.5 Discussion 62_x000D_ <br>Chapter 5 Conclusion 64_x000D_ <br> 5.1 Academic Implications 64_x000D_ <br> 5.2 Managerial Implication . 65_x000D_ <br> 5.3 Limitations and further study 67_x000D_ <br>References 68_x000D_ <br>Appendix A 74_x000D_ | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | The role of Perceived Value on Purchase Intention in YouTube-the case of Skincare products | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 대학원 | - |
| dc.contributor.department | 일반대학원 경영학과 | - |
| dc.date.awarded | 2024-02 | - |
| dc.description.degree | Doctor | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000033489 | - |
| dc.subject.keyword | Market Segmentation | - |
| dc.subject.keyword | Online interaction propensity | - |
| dc.subject.keyword | Perceived Value | - |
| dc.subject.keyword | Purchase Intention | - |
| dc.subject.keyword | U-shaped relationship | - |
| dc.title.subtitle | The role of Perceived Value on Purchase Intention in YouTube- the case of Skincare products. | - |
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