研究生: |
李柏廷 Lee, Po-Ting |
---|---|
論文名稱: |
全通路策略、知覺風險與涉入程度對購買意圖影響之研究-以平價化妝保養品產業為例 Research on the Impacts of Omni-Channel Strategy, Perceived Risk and Involvement Toward Purchase Intention:A Case Study of the Affordable Cosmetic Industry |
指導教授: |
董澤平
Dong, Tse-Ping |
口試委員: |
董澤平
Dong, Tse-Ping 劉志興 Liu, Zhi-Xing 吳智鴻 Wu, Zhi-Hong |
口試日期: | 2022/09/23 |
學位類別: |
碩士 Master |
系所名稱: |
全球經營與策略研究所 Graduate Institute of Global Business and Strategy |
論文出版年: | 2022 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 85 |
中文關鍵詞: | 全通路策略 、知覺風險 、涉入程度 、購買意圖 |
英文關鍵詞: | Omni-Channel, Perceived risk, Involvement, Purchase intention |
DOI URL: | http://doi.org/10.6345/NTNU202205202 |
論文種類: | 學術論文 |
相關次數: | 點閱:200 下載:0 |
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近年來,移動互聯網快速地發展,零售4.0-全通路(Omni-Channel Retailing)模式也隨之而生,是以消費者為中心,通過結合各種線上線下的多元通路(O2O),提供消費者一個無縫零售的消費體驗,旨在塑造突破傳統時間空間限制的全方面購物環境,顧客旅程(Customer Journey)也就成為品牌運營的關注焦點。
本研究採用線上問卷調查方式,回收有效問卷250份。研究目的為探究知覺風險、涉入程度、購買意圖之間的關係,並加入全通路策略為調節變數、知覺風險為中介變數,以迴歸分析及階層迴歸分析進行假設驗證,經由分析結果,本研究結論如下:
1. 全通路策略對知覺風險有顯著影響效果
2. 全通路策略對購買意圖有正面影響效果
3. 知覺風險對購買意圖有顯著影響效果
4. 涉入程度對購買意圖有正面影響效果
5. 全通路策略對涉入程度、購買意圖具有調節效果
6. 知覺風險對全通路策略、購買意圖具有中介效果
關鍵字:全通路策略、知覺風險、涉入程度、購買意圖
In recent years, the Internet has gone through rapid growth. The Omni-channel Retailing method of Retail 4.0 became prominent due to its development. By adopting a consumer-centric mind, retail channels combine a wide variety of online and offline (O2O) approaches. Consumers are enabled with a comprehensive retail consumption experience. It could establish a complete purchasing environment while eliminating the constrain of time and space in the traditional environment. The concept of Customer Journey also turned into the focus of the brand operation.
This research established an online survey,and 250 valid questionnaires were collected. The purpose of the research is to explore the relationship between perceived risk, involvement, and purchase intention, adding the omni-channel strategy as a moderator variable and perceived risk as an intermediary variable, using regression analysis and hierarchical regression analysis to test the hypothesis. The conclusion is as below:
1. The omni-channel strategy has a significant effect on perceived risk
2. The omni-channel strategy has a positive effect on purchase intention
3. Perceived risk has a significant effect on purchase intention
4. Involvement has a positive effect on purchase intention
5.The omni-channel strategy has a moderating effect between involvement and purchase intention
6. Perceived risk has a mediating effect between omni-channel strategy and purchase intention
Keywords: Omni-Channel, Perceived risk, Involvement, Purchase intention
王昭正(2005)。保養品消費者購買行為之研究。國立臺灣大學國際企業學研究所碩士論文,台北市。 取自https://hdl.handle.net/11296/j7c8xf
李奇勳(2007)。知覺風險對消費者知覺價值之形成所扮演角色的探討。管理學報,24(2),167-190。取自https://doi.org/10.6504/JOM.2007.24.02.04
周韻儀(2018)。全通路顧客O2O旅程地圖之全服務流程設計。國立臺中科技大學流通管理系碩士班碩士論文,台中市。 取自https://hdl.handle.net/11296/32c44c
黃立宜(2015)。虛實整合對線上購物網站的影響。國立政治大學企業管理研究所碩士論文,台北市。 取自https://hdl.handle.net/11296/bt4723
蔡翼擎、鄭妃秀、林譽庭、陳芊頤、魏妤真(2019)。探討臺灣化妝品產業建構國際品牌之關鍵決策因子。管理資訊計算,8(1),129-144。 取自https://doi.org/10.6285/MIC.201903_8(1).0012
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888.
Andrew, M., Paes, B., & Johnston, M. (1990). Development of the hemostatic system in the neonate and young infant. The American journal of pediatric hematology/oncology, 12(1), 95-104.
Ariffin, S. K., Mohan, T., & Goh, Y.-N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing.
Arora, L., & Mail, B. K. S. (2018). Influence of review quality, review quantity and review credibility on purchase intention in context of high involvement products. European Journal of Applied Business and Management, 4(4).
Barki, H., & Hartwick, J. (1994). Measuring user participation, user involvement, and user attitude. MIS quarterly, 59-82.
Bell, D. R., Gallino, S., & Moreno, A. (2014). How to win in an omnichannel world. MIT Sloan Management Review, 56(1), 45.
Bucklin, L. P. (1972). Competition and evolution in the distributive trades. Prentice Hall.
Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of consumer research, 15(2), 210-224.
Chaudhuri, A., & Behan, P. O. (2000). Fatigue and basal ganglia. Journal of the neurological sciences, 179(1-2), 34-42.
Clarke, K., & Belk, R. W. (1979). The effects of product involvement and task definition on anticipated consumer effort. ACR North American Advances.
Cunningham, M. S. (1967). The major dimensions of perceived risk. Risk taking and information handling in consumer behavior.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.
Erasmus, A. C., Boshoff, E., & Rousseau, G. G. (2001). Consumer decision-making models within the discipline of consumer science: a critical approach. Journal of Consumer Sciences, 29.
Featherman, M. (2001). Extending the technology acceptance model by inclusion of perceived risk. AMCIS 2001 Proceedings, 148.
Geyskens, I., & Steenkamp, J.-B. E. (2000). Economic and social satisfaction: measurement and relevance to marketing channel relationships. Journal of retailing, 76(1), 11-32.
Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of marketing, 62(2), 46-59.
Hanson, W. (2000). Principles of Internet Marketing Ward Hanson.
Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management science, 40(4), 440-465.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR special volumes.
Kollat, D. T., Engel, J. F., & Blackwell, R. D. (1970). Current problems in consumer behavior research. Journal of marketing research, 7(3), 327-332.
Kotler, P. (1973). The major tasks of marketing management. Journal of marketing, 37(4), 42-49.
Kustiwi, I. A., & Isnalita, I. (2018). Trust and purchasing intention in e-commerce: Lazada Indonesia. International Conference of Communication Science Research (ICCSR 2018),
Laurent, G., & Kapferer, J.-N. (1985). Measuring consumer involvement profiles. Journal of marketing research, 22(1), 41-53.
Lazaris, C., Vrechopoulos, A., Sarantopoulos, P., & Doukidis, G. (2022). Additive omnichannel atmospheric cues: The mediating effects of cognitive and affective responses on purchase intention. Journal of Retailing and Consumer Services, 64, 102731.
Levy, M., Weitz, B. A., Grewal, D., & Madore, M. (2012). Retailing management (Vol. 6). McGraw-Hill/Irwin New York.
Liebermann, Y., & Flint-Goor, A. (1996). Message strategy by product-class type: A matching model. International Journal of Research in Marketing, 13(3), 237-249.
Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing.
Mitra, K., Reiss, M. C., & Capella, L. M. (1999). An examination of perceived risk, information search and behavioral intentions in search, experience and credence services. Journal of Services Marketing.
Muncy, J. A., & Hunt, S. D. (1984). Consumer involvement: definitional issues and research directions. ACR North American Advances.
Paccard, E. (2017). Omnichannel vs Multichannel: Are They So Different? In Available at.
Parker, R., & Hand, L. (2009). Satisfying the omnichannel consumers whenever and wherever they shop. IDC Retail Insights report.
Payne, E. M., Peltier, J. W., & Barger, V. A. (2017). Omni-channel marketing, integrated marketing communications and consumer engagement: A research agenda. Journal of Research in Interactive Marketing.
Rawson, A., Duncan, E., & Jones, C. (2013). The truth about customer experience. Harvard business review, 91(9), 90-98.
Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of marketing, 35(1), 56-61.
Rothschild, M. L. (1984). Perspectives on involvement: current problems and future directions. ACR North American Advances.
Santandreu, J., & Shurden, M. C. (2017). Purchase decisions for high involvement products: the new generation of buyers. Journal of Marketing Development and Competitiveness, 11(2), 88-92.
Sharma, V. S., Traylor, T., Gardiner, R., & Mizukami, H. (1987). Reaction of nitric oxide with heme proteins and model compounds of hemoglobin. Biochemistry, 26(13), 3837-3843.
Sherif, M., & Cantril, H. (1947). The psychology of ego-involvements: Social attitudes and identifications.
Sim, L. J., Hampson, R. E., Deadwyler, S. A., & Childers, S. R. (1996). Effects of chronic treatment with Δ9-tetrahydrocannabinol on cannabinoid-stimulated [35S] GTPγS autoradiography in rat brain. Journal of Neuroscience, 16(24), 8057-8066.
Sombultawee, K., & Wattanatorn, W. (2022). The impact of trust on purchase intention through omnichannel retailing. Journal of Advances in Management Research.
Spector, P. E., & Fox, S. (2002). An emotion-centered model of voluntary work behavior: Some parallels between counterproductive work behavior and organizational citizenship behavior. Human resource management review, 12(2), 269-292.
Srinivasan, N., & Ratchford, B. T. (1991). An empirical test of a model of external search for automobiles. Journal of consumer research, 18(2), 233-242.
Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
Susanto, H., Sucahyo, Y. G., Ruldeviyani, Y., & Gandhi, A. (2018, October). Analysis of factors that influence purchase intention on omni-channel services. In 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 151-155). IEEE.
Taylor, J. W. (1974). The role of risk in consumer behavior: A comprehensive and operational theory of risk taking in consumer behavior. Journal of marketing, 38(2), 54-60.
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of retailing, 91(2), 174-181.
Wai, K., Dastane, O., Johari, Z., & Ismail, N. B. (2019). Perceived risk factors affecting consumers’ online shopping behaviour. The Journal of Asian Finance, Economics and Business, 6(4), 246-260.
Xu, L., Prybutok, V., & Blankson, C. (2018). An environmental awareness purchasing intention model. Industrial Management & Data Systems.
91APP編輯小組(2020)。新零售、全通路、O2O |為何觀念大家都有,卻少有品牌做得到位。 取自https://www.91app.com/blog/new-retail-concept/
經濟部統計處(2020)。產業經濟統計簡訊。振興措施助攻,藥粧零售業7月起重回成長軌道。 取自https://www.moea.gov.tw/Mns/dos/bulletin/Bulletin.aspx?kind=9&html=1&menu_id=18808&bull_id=7825