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Motives in Online Shopping through Digital Platforms in Textile: Risk Perception and Purchase Intention

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Języki publikacji
EN
Abstrakty
EN
This study aims to provide a great deal of insight into how risk perception and purchase intention differ for the consumer with different online shopping motives. Data were collected through a questionnaire with 359 voluntary consumers aged 18-28 living in Istanbul. 14 motives leading them to online shopping through digital platforms for textile products were defined with the Focus group technique. First, clustering analysis was conducted to define consumers according to the guiding motives in online shopping. Next, whether the consumer segments identified by these motives have different levels of risk perception and purchase intention was investigated via ANOVA analysis.
Rocznik
Strony
1--7
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
  • Marmara University Faculty of Technology, İstanbul, Turkey
Bibliografia
  • 1. Gawer A. Online Platforms: Societal Implications of the New Dominant Business Models of the Digital Economy 2021. Available from https://www.denkfabrik-bmas.de/fileadmin/Downloads/Publikationen/Brief-1_Gawer_final_FINAL-ua.pdf
  • 2. Rahman MA, Islam MA. Esha BH, Sultana N, Chakravorty S. Consumer Buying Behaviour towards Online Shopping: An Empirical Study on Dhaka City, Bangladesh, Cogent Business and Management 2018; 5(1): 1514940.
  • 3. Rahman MT. Customers’ Attitude towards Online Shopping: The Case of Bangladesh. World 2016; 6(2): 82-91.
  • 4. Kadıoğlu CT. Dijitalleşen Dünyada Tüketicilerin Hastane Hizmetlerinden Beklentileri (Ed.) Dijital Pazarlama Güncel Araştırmalar. Artikel Akademi. Istanbul, Turkiye. 2021; 121-141.
  • 5. Khare A. Consumer Shopping Styles and Online Shopping: An Empirical Study of Indian Consumers. Journal of Global Marketing 2016; 29(1): 40-53.
  • 6. Lee JE, Lee KH. Purchase Motives, Use of Information Sources and Decision Making Styles of Online Clothing Shoppers. Journal of the Korean Society of Clothing and Textiles 2009. 33(6): 880-892.
  • 7. Bae J, Park J, Lee K, Kim Y. Purchase Motives of Fashion Products in Surrogate Internet Shopping Malls. Journal of the Korean Society of Clothing and Textiles 2007; 31(3): 486-494.
  • 8. Lopez AC, Casielles RV, Puente J. How to Manage the Online Experience Concerning Transactional and Experimental Customers: Case of e-Fashion Sector. Journal of Business Economics and Management 2019; 20(3): 595-617.
  • 9. Taylor CR, Costello JP. What Do We Know About Fashion Advertising? A Review of the Literature and Suggested Research Directions. Journal of Global Fashion Marketing 2017; 8(1): 1-20.
  • 10. Arora N, Rahul M. The Role of Perceived Risk in Influencing Online Shopping Attitude among Women. In India. Int. J. Public Sector Performance Management 2018, 4(1): 98-113.
  • 11. Gao H. Research on Components of Consumer Perceived Risk. Engineering Management Conference, IEEE International 2006, 17 (20): 334-335.
  • 12. Trimpop RM. The Psychology of Risk Taking Behaviour. Amsterdam, New York: North-Holland. 2 Ed. 1994.
  • 13. Mowen JC. Consumer Behaviour. Collier Macmillan Canada Inc. 2 Ed. 1987.
  • 14. Dennis C, King T, Wagner T. Shopping Motivation Revised: A Means-End Chain Analytical Perspective. International Journal of Retail and Distribution Management 2007; 35(7): 569-582.
  • 15. Wagner T, Rudolph T. Towards a Hierarchical Theory of Shopping Motivation. Journal of Retailing and Consumer Services 2010; 17(5): 415-429.
  • 16. Wilson DB. Definition of Consumer Motivation 2019. Available from https://bizfluent.com/about-6572429-definitionconsumer-motivation.html
  • 17. Keller KL. Building Customer-Based Brand Equity: Creating Brand Resonance Requires Carefully Sequenced Brand-Building Efforts. Marketing Management 2001; 10(2): 15-19.
  • 18. Dodds WB, Monroe KB, Grewal D. Effects of Price, Brand and Store Information on Buyers Product Evaluations. Journal of Marketing Research 1991; 28(3):307-319.
  • 19. Yim YCM, Yoo SC, Sauer PL, Seo J. Hedonic Shopping Motivation and Co-Shopper Influence on Utilitarian Grocery Shopping in Superstores. Academy of Marketing Science 2014; 42:528-544.
  • 20. Xu XY, Chang FK, Li EY. Exploring Consumer Value Path of Cross-Border e-Commerce: A perspective of Means-End Theory. ICEB, Guilin, China, In Proceedings of the 18th International Conference on Electronic Business 2018: 284-294.
  • 21. Küçükyazıcı B. Maslow İhtiyaçlar Hiyerarşisi Piramidi Nedir 2022 Analizi. Brain center. Bireysel danışmanlık ve meditasyon merkezi. 2022; Available from https://www.braincenter.com.tr/maslow-ihtiyaclar-hiyerarsisipiramidi/?fbclid=IwAR3UqJRNhO-u8RzUBriyzUSmGlJvJoc0RupxTncl9Otr76ukyS2NCAw2cSg (Access date: 09 July 2022)
  • 22. Jarvenpaa SL, Tractinsky N, Vitale M. Consumer Trust in an Internet Store. Information Technology and Management 2000; 1: 45-71.
  • 23. McIntosh. Andrew M. ... Lawrie. Stephen M. 2010 in Companion to Psychiatric Studies (Eighth Edition).
  • 24. Alkarkhi A FM, Alqaraghuli W AA. Easy Statistics for Food Science with R. 2019; Available from https://www.sciencedirect.com/topics/agricultural-and-biologicalsciences/cluster-analysis
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-154edc41-327d-4c8a-abe6-8a38e1da500e
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