IDEAS home Printed from https://ideas.repec.org/a/aad/ejbejj/v10y2015i2p687.html
   My bibliography  Save this article

A study on factors influencing young consumers’ smartphone brand preference in Erzurum, Turkey

Author

Listed:
  • Ali Çelik

    (Atatürk University. Department of Econometrics, Erzurum)

  • Hakan Eygü

    (Atatürk University, Department of Econometrics, Erzurum)

  • Erkan Oktay

    (Atatürk University, Department of Econometrics, Erzurum)

Abstract

Young consumers are the most important users of advanced information and communication technologies among others. Particularly, since the gradually increasing smartphone use among young consumers is taken into consideration, an empirical evidence about their purchase behavior in terms of brand perception may contribute to the existing marketing literature. For this purpose, the main objective of this paper is to determine factors that may possibly contribute to young consumers’ smartphone brand preference in a developing country with a particular emphasis on undergraduate students in Turkey. A written-questionnaire is conducted among 1,135 undergraduate students at a well-established university in Turkey. The dependent variable of this study is smartphone brand with a four-category. The data are analyzed using a multinomial logit model due to the unordered nature of the dependent variable. Estimation results suggest monthly individual income and smartphone use in years have an increasing and decreasing impact on the use of a specific brand, respectively. Results also reveal that monthly household income, price of current smartphone, product design, product weight, and after purchase services have both increasing and decreasing influence regarding a specific brand preference. The outcome of this relatively comprehensive study may provide a successful guidance for future marketing strategies and policies.

Suggested Citation

  • Ali Çelik & Hakan Eygü & Erkan Oktay, 2015. "A study on factors influencing young consumers’ smartphone brand preference in Erzurum, Turkey," European Journal of Business and Economics, Central Bohemia University, vol. 10(2), pages 6871:10-687, January.
    • Handle: RePEc:aad:ejbejj:v:10:y:2015:i:2:p:687
    DOI: 10.12955/ejbe.v10i2.687
    as

    Download full text from publisher

    File URL: http://ojs.journals.cz/index.php/EJBE/article/view/687/633
    Download Restriction: no
    File URL: https://libkey.io/10.12955/ejbe.v10i2.687?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    3. Orhan Dagli & Glenn P. Jenkins, 2015. "Consumer Preferences for Improvements in Mobile Telecommunication Services," Development Discussion Papers 2015-05, JDI Executive Programs.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barasa, L. & Kimuyu, P. & Vermeulen, P.A.M. & Knoben, J. & Kinyanjui, B., 2014. "Institutions, Resources and Innovation in Developng Countries : A Firm Level Approach," Other publications TiSEM 4150bffe-8365-4b51-a7e9-d, Tilburg University, School of Economics and Management.
    2. Howley, Peter, 2015. "The Happy Farmer: The Effect Of Non-Pecuniary Benefits On Farmers’ Behavior," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204289, Agricultural Economics Society.
    3. Jinsuk Yang & Qing Hao & Mahmut Yaşar, 2023. "Institutional investors and cross‐border mergers and acquisitions: The 2000–2018 period," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 553-583, September.
    4. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    5. Chien-Chi Chu & Ya-Fang Cheng & Fu-Sheng Tsai & Sang-Bing Tsai & Kun-Hwa Lu, 2019. "Open Innovation in Crowdfunding Context: Diversity, Knowledge, and Networks," Sustainability, MDPI, vol. 11(1), pages 1-11, January.
    6. Mi (Jamie) Zhou & Baozhou Lu & Weiguo (Patrick) Fan & G. Alan Wang, 2018. "Project description and crowdfunding success: an exploratory study," Information Systems Frontiers, Springer, vol. 20(2), pages 259-274, April.
    7. Zhiming Liu & Haiwei Jia, 2022. "What Drives the Development and Sustainable Growth of Cultural Nonprofits—Chinese Province-Level Evidence," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    8. Miao, Lijuan & Sun, Zhanli & Ren, Yanjun & Schierhorn, Florian & Müller, Daniel, 2021. "Grassland greening on the Mongolian Plateau despite higher grazing intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(2), pages 792-802.
    9. Werner, Arndt & Moog, Petra, 2009. "Why do Employees Leave Their Jobs for Self-Employment? – The Impact of Entrepreneurial Working Conditions in Small Firms," MPRA Paper 18826, University Library of Munich, Germany.
    10. Roberto Cerchione & Emilio Esposito & Maria Rosaria Spadaro, 2015. "The Spread of Knowledge Management in SMEs: A Scenario in Evolution," Sustainability, MDPI, vol. 7(8), pages 1-23, July.
    11. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    12. Martin Mende & Scott Thompson & Christian Coenen, 2015. "It’s all relative: how customer-perceived competitive advantage influences referral intentions," Marketing Letters, Springer, vol. 26(4), pages 661-678, December.
    13. Claudia Salceanu, 2020. "Eating Disorder Risk and Personality Factors in Adolescent Girls," Postmodern Openings, Editura Lumen, Department of Economics, vol. 11(1Sup1), pages 158-176, March.
    14. Hayk Khachatryan & Alicia Rihn & Ben Campbell & Bridget Behe & Charles Hall, 2018. "How do consumer perceptions of “local†production benefits influence their visual attention to state marketing programs?," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 390-406, March.
    15. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Gregory Thompson & Jeffrey Brown & Torsha Bhattacharya, 2012. "What Really Matters for Increasing Transit Ridership: Understanding the Determinants of Transit Ridership Demand in Broward County, Florida," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3327-3345, November.
    17. Sylvia Y. He & Genevieve Giuliano, 2017. "Factors affecting children’s journeys to school: a joint escort-mode choice model," Transportation, Springer, vol. 44(1), pages 199-224, January.
    18. Provan, David J. & Woods, David D. & Dekker, Sidney W.A. & Rae, Andrew J., 2020. "Safety II professionals: How resilience engineering can transform safety practice," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    19. Rafael González-Val, 2011. "Deviations from Zipf’s Law for American Cities," Urban Studies, Urban Studies Journal Limited, vol. 48(5), pages 1017-1035, April.
    20. Enrico di Bella & Lucia Leporatti & Filomena Maggino, 2018. "Big Data and Social Indicators: Actual Trends and New Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(3), pages 869-878, February.

    More about this item

    Keywords

    young consumerundergraduate student; smartphone; brand preference; multinomial logit model; discrete choice model;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aad:ejbejj:v:10:y:2015:i:2:p:687. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Petr Hájek (email available below). General contact details of provider: https://ojs.journals.cz/index.php/EJBE .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.