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Examining the Factors Influential on Smart Phone Users' Satisfaction Levels: A Case Study from Eskisehir

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  • Hatice Şamkar

Abstract

Parallel to the rapid developments in technology, a rapid change has been experienced in communication tools as well. As a result, smart phones can now perform a number of computer procedures besides allowing ordinary telephone conversations. Today, it is seen that smart phone use is quite common especially among young people. The present study focuses on smart phone users’ levels of satisfaction with smart phones and on the factors likely to be influential on their satisfaction levels. For this purpose, the related research data were collected with a questionnaire conducted in Eskisehir, and factor analysis was carried out to determine the factors regarding the participants’ attitudes towards smart phone use. Lastly, with the help of logistic regression analysis, a mathematical model was developed to determine the smart phone users’ satisfaction levels.

Suggested Citation

  • Hatice Şamkar, 2017. "Examining the Factors Influential on Smart Phone Users' Satisfaction Levels: A Case Study from Eskisehir," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(1), pages 147-162, June.
    • Handle: RePEc:anm:alpnmr:v:5:y:2017:i:1:p:147-162
    DOI: http://dx.doi.org/10.17093/alphanumeric.323829
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    References listed on IDEAS

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    1. Elias Carayannis & Stephen Clark & Dora Valvi, 2013. "Smartphone Affordance: Achieving Better Business Through Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(4), pages 444-472, December.
    2. Elias Carayannis & Stephen Clark, 2011. "Do Smartphones Make for Smarter Business? The Smartphone CEO Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 2(2), pages 201-233, June.
    3. Niffikeer, Cindy I. & Hewins, Robin D. & Flavell, Richard B., 2000. "A synthetic factor approach to the estimation of value-at-risk of a portfolio of interest rate swaps," Journal of Banking & Finance, Elsevier, vol. 24(12), pages 1903-1932, December.
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    More about this item

    Keywords

    Factor Analysis; Logistic Regression Analysis; Smart Phone Users’ Satisfaction Levels;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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