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Tytuł artykułu

Matching relation between consumer’s psychology and digital goods rankings

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The development of digital goods has profoundly changed the economic relationship and trading methods. Among all the digital goods recommendation information, ranking information is of prominent significance. The rankings impact consumers positively as they make decisions on buying digital products. We serve rankings and consumer psychologies as the object of this study, and will offer references and suggestions for the customization of the mobile terminal. Combining factor and cluster analysis, we subdivide the rankings into three groups first based on consumers’ values and lifestyles: reputation ranking, consumption behavior ranking and purchase intention ranking. Then, we use a correspondence analysis method to conclude the matching relationship between different types of rankings and various consumption psychology groups.
Słowa kluczowe
Rocznik
Strony
107--117
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • Beijing University of Posts and Telecommunications
autor
  • Beijing University of Posts and Telecommunications
autor
  • Beijing University of Posts and Telecommunications
Bibliografia
  • [1] Anderson C., The Long Tail: Why the Future of Business Is Selling Less of More, Hachette Books, California, 2006.
  • [2] Tucker C., Zhang J., How Does Popularity Information Affect Choices? A Field Experiment. INFORMS, 57, 5, 2011, 828-842.
  • [3] Naveen A., Tung B., The Impact of Additional Electronic Word-of-Mouth on Sales of Digital Micro-products Over Time: A Longitudinal Analysis of Amazon Shorts. Proceedings of the 40th Hawaii International Conference on System Sciences, 07, 2007, 1-10.
  • [4] Hinz O., The Impact of Search and Recommendation Systems on Sales in Electronic Commerce. Business& Information Systems Engineering, 2, 2, 2010, 67-77.
  • [5] Lee S., Cho Y., Kim S., Collaborative Filtering with Ordinal Scale-based Implicit Ratings for Mobile Music Recommendations. Information Science, 02, 004, 2010, 2142-2155.
  • [6] Xu Y., Website Rankings Evaluation Model and Its Evaluation Method. Journal of Information, 21, 2, 2002, 149-151.
  • [7] Zhang Y., Chen Y., Consumer psychology research. Business Culture, 3, 2011, 198.
  • [8] Ying N., Psychological characteristics of the e-commerce customer. Market Condition, 9, 2009, 40.
  • [9] Pei Y., The Analysis of Consumer Psychology and Consumer Behavior in E-commerce Area. China Trade, 30, 2011, 123-124.
  • [10] Liu X., Ranking economic value to explore. Economic Research Guide, 32, 2011, 279-280.
  • [11] Sprotles G. B., Kendall E. L., A Methodology for Profiling Consumers’ Decision-Making Styles. The Journal of Consumer Affairs, 20, 2, 1986, 267-279.
  • [12] Fieller E. C., Hartley H. O., Pearson E. S., Tests for rank correlation coefficients. Biometrika, 44, 3/4, 1957, 470-481.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-88a43b99-27ba-4eff-a192-36bdc3162290
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