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Determination of Effective Criteria for Mobile Application Selection and Sample Application

Author

Listed:
  • Buse USLU

    (Kırıkkale Üniversitesi, Endüstri Mühendisliği Bölümü, Kırıkkale, Türkiye)

  • Şeyda GÜR

    (Kırıkkale Üniversitesi, Endüstri Mühendisliği Bölümü, Kırıkkale, Türkiye)

  • Tamer EREN

    (Kırıkkale Üniversitesi, Endüstri Mühendisliği Bölümü, Kırıkkale, Türkiye)

  • Evrencan ÖZCAN

    (Kırıkkale Üniversitesi Endüstri Mühendisliği Bölümü, Kırıkkale, Türkiye)

Abstract

Today everyone has specially coded and designed software for mobile phones or tablets. The 2017 data from Turkish Statistical Institute (TURKSTAT) show that there are about 78 million mobile phone users and of these the number of internet subscribers is close to 70 million. TURKSTAT data show that the number of users and subscribers is increasing with each passing year and that the need for mobile applications will increase in importance. The mobile application initiative of each individual software developer and every sector increases the preference criteria of the users. It is predicted that mobile application software developers can know which criteria are important and how much weight they should give to mobile application preference. In this way they can provide continuity in the market. In this study, effective criteria in mobile application selection were investigated. Criteria which are effective in mobile application selection according to the literature review and expert opinions are language, price, performance, memory usage, user interpretation and speed. The criteria were evaluated by five officials and compared with AHP (Analytical Hierarchy Process) method to determine the significance of the criteria. Thereafter, five mobile application projects were determined and the alternatives were made by applying AHP, TOPSIS and PROMETHEE methods.

Suggested Citation

  • Buse USLU & Şeyda GÜR & Tamer EREN & Evrencan ÖZCAN, 2020. "Determination of Effective Criteria for Mobile Application Selection and Sample Application," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 70(1), pages 113-139, June.
    • Handle: RePEc:ist:journl:v:70:y:2020:i:1:p:113-139
    DOI: 10.26650/ISTJECON2019-0022
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    References listed on IDEAS

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    1. Lai, Young-Jou & Liu, Ting-Yun & Hwang, Ching-Lai, 1994. "TOPSIS for MODM," European Journal of Operational Research, Elsevier, vol. 76(3), pages 486-500, August.
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    More about this item

    Keywords

    Multi criteria decision making methods; Mobile application; Google play store;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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