Dergiler / Research Journal of Business and Management / 2026 / Volume: 12 Issue: 1

REGIONAL E-COMMERCE WITHIN THE FRAMEWORK OF THE DIGITAL DIVIDE AND TECHNOLOGY ACCEPTANCE MODEL: A COMPARATIVE ANALYSIS OF DIYARBAKIR, TURKEY, AND GLOBAL TRENDS

Sayfa
—
Yayın Tarihi
2025-07-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Future research should explore socioeconomic factors in greater depth and employ longitudinal analyses to assess the long-term effects of digital transformation on consumer demographics.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Purpose- This study examines e-commerce adoption patterns in Diyarbakır province in comparison to national and global trends, identifying regional disparities.
📊
Temel Bulgular & Veri:Methodology- A cross-sectional quantitative approach was adopted, with surveys administered to 675 residents of Diyarbakır.
💡
Sonuç & Katkı:Future research should explore socioeconomic factors in greater depth and employ longitudinal analyses to assess the long-term effects of digital transformation on consumer demographics.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Regional e-commerce adoption · digital divide · technology adoption and technology acceptance model (tam)

Abstract

Purpose- This study examines e-commerce adoption patterns in Diyarbakır province in comparison to national and global trends, identifying regional disparities. Framed within the Technology Acceptance Model and Digital Divide Theory, the research analyzes how demographic factors, digital literacy, and logistical infrastructure shape e-commerce participation, contributing to regional digitalization policies. Methodology- A cross-sectional quantitative approach was adopted, with surveys administered to 675 residents of Diyarbakır. The sample size was determined via Cochran’s formula, and data collection utilized both face-to-face and online methods. Statistical analyses included the Chi-Square test, Cramér’s V effect size, Logistic Regression, K-Means Clustering, and Structural Equation Modeling (SEM). Reliability was confirmed with Cronbach’s Alpha (0.91), and ethical guidelines, including informed consent, were strictly followed. Findings- e-Commerce usage in Diyarbakır was lower than national and global averages, with a significantly higher proportion of “infrequent” users. Digital literacy, income, and age were significant determinants of adoption. Income mediated the relationship between digital literacy and e-commerce engagement. Younger, higher-income individuals were more active users, whereas those aged 45 and above showed reluctance due to security concerns and traditional shopping preferences. The regional digital divide was influenced by socioeconomic constraints and established consumer behaviors. Conclusion- Demographics significantly shape regional e-commerce behavior. While younger consumers actively engage, older groups face digital literacy and access challenges. The study provides strategic insights for policymakers, businesses, and digital marketers to enhance e-commerce participation. Future research should explore socioeconomic factors in greater depth and employ longitudinal analyses to assess the long-term effects of digital transformation on consumer demographics.

🔖

Bu Makaleye Atıf Yap

Altundağ, S. (2025). REGIONAL E-COMMERCE WITHIN THE FRAMEWORK OF THE DIGITAL DIVIDE AND TECHNOLOGY ACCEPTANCE MODEL: A COMPARATIVE ANALYSIS OF DIYARBAKIR, TURKEY, AND GLOBAL TRENDS. Research Journal of Business and Management, Volume: 12 Issue: 1. https://doi.org/10.17261/Pressacademia.2025.1972

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (23)

  1. Cochran, W. G. (1952). The chi-square test of goodness of fit. The Annals of Mathematical Statistics, 23(3), 315–345. https://doi.org/10.1214/aoms/1177729380
  2. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  3. Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage Publications. Retrieved from https://dl1.cuni.cz/pluginfile.php/1329289/mod_resource/content/1/Andy%20Field%20-%20Discovering%20Statistics%20Using%20IBM%20SPSS%20Statistics-Sage%20Publications%20Ltd%20%282018%29.pdf
  4. Gefen, D. (2002). Reflections on the dimensions of trust and trustworthiness among online consumers. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 33(3), 38–53. https://doi.org/10.1145/569905.569910
  5. Hizmetix. (2024, August 27). Türkiye’de internet kullanımı ve e-ticaret oranları [Internet usage and e-commerce rates in Turkey]. Hizmetix. Retrieved from https://hizmetix.com.tr/turkiyede-internet-kullanimi-ve-e-ticaret-oranlari/
  6. Hofstede, G. (2011). Cultures and organizations: Software of the mind: Intercultural cooperation and its importance for survival (3rd ed.). McGraw-Hill. Retrieved from https://www.cag.edu.tr/uploads/site/lecturer-files/geert-h-hofstede-gert-jan-hofstede-michael-minkov-cultures-and-organizations-software-of-the-mind-intercultural-cooperation-and-its-importance-for-survival-mcgraw-hill-2010-dnsu.pdf
  7. IBM. (2024). IBM SPSS Statistics 30 brief guide. Retrieved from https://www.ibm.com/docs/en/SSLVMB_30.0.0/pdf/IBM_SPSS_Statistics_Brief_Guide.pdf
  8. Information and Communication Technologies Authority (BTHK). (2024). Electronic communications sector: Quarterly data report 2024 – Q2. Retrieved from https://www.bthk.org/Documents/raporlar/pazar-verileri-sektorel-raporlar/2024%20Q2%20Raporu.pdf
  9. Kshetri, N. (2018a). Informal institutions and internet-based equity crowdfunding. Journal of International Management, 24(1), 33–51. https://doi.org/10.1016/j.intman.2017.07.001
  10. Kshetri, N. (2018b). Rural e-commerce in developing countries. IT Professional, 20(2), 91–95. https://doi.org/10.1109/MITP.2018.021921657 Retrieved from https://libres.uncg.edu/ir/uncg/f/N_Kshetri_Rural_2018.pdf
  11. Republic of Turkey Ministry of Trade. (2024). e-Commerce outlook report in Turkey published. Retrieved from https://www.eticaret.gov.tr/haberler/10096/detay/
  12. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. Retrieved from https://teddykw2.wordpress.com/wp-content/uploads/2012/07/everett-m-rogers-diffusion-of-innovations.pdf
  13. Statista. (2024a). Distribution of internet users worldwide as of February 2024, by age group. Retrieved from https://www.statista.com/statistics/272365/age-distribution-of-internet-users-worldwide
  14. Statista. (2024b). e-Commerce usage by age group worldwide. Statista. Retrieved from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales
  15. Statista. (2024c). e-Commerce worldwide - Statistics & facts. Retrieved from https://www.statista.com/topics/871/online-shopping
  16. Statista. (2024d). Retail e-commerce sales worldwide from 2014 to 2024. Statista. Retrieved from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales
  17. Turkish Statistical Institute (TÜİK). (2024a). Address-based population registration system results, 2023 (No: 49684). Retrieved from https://data.tuik.gov.tr/Bulten/Index?p = Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2023-49684
  18. Turkish Statistical Institute (TÜİK). (2024b). Household information and communication technology (ICT) usage survey, 2024 (No: 53492). Retrieved from https://data.tuik.gov.tr/Bulten/Index?p = Hanehalki-Bilisim-Teknolojileri-%28BT%29-Kullanim-Arastirmasi-2024-53492
  19. United Nations Conference on Trade and Development (UNCTAD). (2021a). COVID-19 and e-commerce: A global review. Retrieved from https://unctad.org/publication/covid-19-and-e-commerce-global-review
  20. United Nations Conference on Trade and Development (UNCTAD). (2021b). COVID-19 and e-commerce: A global review. Retrieved from https://unctad.org/publication/covid-19-and-e-commerce-global-review
  21. United Nations Conference on Trade and Development (UNCTAD). (2021c). Digital economy report 2021: Cross-border data flows and development. Retrieved from https://unctad.org/system/files/official-document/der2021_en.pdf
  22. Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354–375. https://doi.org/10.1177/1461444818797082
  23. Van Dijk, J. A. G. M. (2020). The digital divide. Polity Press. https://doi.org/10.1002/asi.24355