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Rating Decision Analysis Based On Ios App Store Data

Author

Listed:
  • Dejan Erić
  • Radovan Bačík
  • Igor Fedorko

Abstract

Purpose: The aim of the paper is to describe the specific aspects of the e-commerce model business-to-consumer as a constantly developing field of an economic life in the Central European countries according to their customers. The current state of e-business and business-to-consumer e-commerce issue was identified by the research in the Czech Republic, Hungary, Poland and Slovakia. Methodology/Approach: For the purposes of collecting primary data the crucial factor for the selection of e-shops was identification of the suitable online portals focused on post-purchase evaluation of e-shops in Visegrad group countries. Automatic data collection method was used for the observed variables (evaluations) within selected online portals of the identified e-shops. The total of 5,228,127 evaluations of 9,260 e-shops were analysed. The main focus was given to customer overall satisfaction with an e-shop in relation to communication with a customer or overall satisfaction with an e-shop and delivery quality. Findings: The results of the research showed that there exists a direct relation between overall satisfaction with an e-shop and communication with customers or overall satisfaction with an e-shop and delivery quality. Originality/Value of paper: The ambition of this paper through the findings is to help subjects of e-commerce in their marketing decisions in order to even better understand the factors that influence customers’ satisfaction.

Suggested Citation

  • Dejan Erić & Radovan Bačík & Igor Fedorko, 2014. "Rating Decision Analysis Based On Ios App Store Data," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 18(2).
  • Handle: RePEc:tuk:qipqip:v:18:y:2014:i:2:3
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    File URL: http://www.qip-journal.eu/index.php/QIP/article/view/337/401
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    Citations

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    Cited by:

    1. Numminen, Emil & Sällberg, Henrik & Wang, Shujun, 2022. "The impact of app revenue model choices for app revenues: A study of apps since their initial App Store launch," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 325-336.

    More about this item

    Keywords

    smartphones; mobile apps; user rating;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

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