Journals / Erciyes Akademi / 2023 / Cilt: 37 - Sayı: 1

THE EFFECT ON DIGITAL CONTENT MARKETING ON ONLINE PURCHASE INTENTION: THE MODERATOR ROLE OF AGE AND GENDER VARIABLES

DİJİTAL İÇERİK PAZARLAMASININ ONLINE SATIN ALMA NİYETİNE ETKİSİ: CİNSİYET VE YAŞ DEĞİŞKENLERİNİN DÜZENLEYİCİ ROLÜ

Pages
147–163
Publication Date
2023-03-29
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Obtained results demonstrate that gender and age variables do not moderate the relationship between digital content marketing and online purchase intention variables, even though they demonstrate that digital content marketing methods are extremely effective on online purchase intention.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines how digital content marketing affects consumers' intentions to make online purchases.
📊
Key Findings & Data:A face-to-face survey approach was used to collect data from 620 participants as part of the research, and PLS-SEM analysis was applied to the results.
💡
Conclusion & Impact:Obtained results demonstrate that gender and age variables do not moderate the relationship between digital content marketing and online purchase intention variables, even though they demonstrate that digital content marketing methods are extremely effective on online purchase intention.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:İçerik · Dijital pazarlama · Sosyal medya

Abstract

This study examines how digital content marketing affects consumers' intentions to make online purchases. It tries to identify how demographic data on gender and age play a moderating impact. A face-to-face survey approach was used to collect data from 620 participants as part of the research, and PLS-SEM analysis was applied to the results. Obtained results demonstrate that gender and age variables do not moderate the relationship between digital content marketing and online purchase intention variables, even though they demonstrate that digital content marketing methods are extremely effective on online purchase intention. Thus, the study has shown that age and gender factors, which have been looked at for companies to accurately determine their target audiences and potential customer profiles, do not have a moderating role, despite evidence showing that digital content marketing is an important strategy in consumers' preferences for online shopping.

Özet

Bu çalışma dijital içerik pazarlamasının, online satın alma niyetine etkisini ve bu ilişkide cinsiyet ve yaş demografik verilerinin düzenleyici rolünün ortaya konulmasını amaçlamaktadır. Araştırma kapsamında 620 katılımcıya yüz yüze anket yöntemi ile anket uygulaması yapılmış olup, elde edilen veriler, PLS-SEM analizine tabii tutulmuştur. Elde edilen sonuçlar; dijital içerik pazarlaması uygulamalarının, online satın alma niyeti üzerinde büyük ölçüde etkili olduğu sonucunu gösterirken, cinsiyet ve yaş değişkenlerinin ise dijital içerik pazarlaması ve online satın alma niyeti değişkenlerinin üzerinde düzenleyici bir rolü olmadığı sonucunu göstermektedir. Böylelikle; dijital içerik pazarlamasının tüketicilerin online alışveriş tercihlerinde önemli bir strateji olduğuna dair kanıtlar elde edilirken, firmaların hedef kitlelerini ve potansiyel müşteri profillerini doğru bir şekilde belirleyebilmelerine, yönelik olarak incelenmiş olan yaş ve cinsiyet faktörlerinin düzenleyici bir rolü olmadığı yapılan çalışma ile ortaya konulmuştur.

🔖

Cite This Article

GÜLSOY, M., KOÇER, L. L. (2023). THE EFFECT ON DIGITAL CONTENT MARKETING ON ONLINE PURCHASE INTENTION: THE MODERATOR ROLE OF AGE AND GENDER VARIABLES. Erciyes Akademi, Cilt: 37 - Sayı: 1, 147–163. https://ajindex.com/articles/885778

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and prediction social behavior. Englewood Cliffs. Akbarov, S. (2020). The impact of social media marketing on consumer-moderating role of gender and income. Scholedge International Journal of Multidisciplinary and Allied Studies, 7(7), 147-163.
  2. Al-Gasawneh, J., & Al-Adamat, A. (2020). The mediating role of e-word of mouth on the relationship between content marketing and green purchase intention. Management Science Letters, 10(8), 1701-1708.
  3. Alwan, M., & Alshurideh, M. (2022). The effect of digital marketing on purchase intention: Moderating effect of brand equity. International Journal of Data and Network Science, 6(3), 837-848.
  4. Andaç, A., Akbıyık, F., & Karkar, A. (2016). Customer satisfaction factor in digital content marketing: Isparta province as an example. International Journal of Social Science Studies, 4(5), 124-135.
  5. Ansari, S., Ansari, G., Ghori, M. U., & Kazi, A. G. (2019). Impact of brand awareness and social media content marketing on consumer purchase decision. Journal of Public Value and Administrative Insight, 2(2), 5-10.
  6. Armağan, E., & Temel, E. (2018). Türkiye’de online kompulsif satın alma davranışı üzerine ampirik bir çalışma. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 20(4), 621-653.
  7. Baltes, L. (2015). Content marketing - the fundamental tool of digital marketing, Economic Sciences, 8(57), 111- 118. Barclay, D.W., Higgins, C. A., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adaptation and use as an illustration. Technology Studies, 2, 285-309.
  8. Boran, T. (2021). Sosyal medyada içerik pazarlama: Boyner Grup YouTube kanali örneği. Intermedia International e-Journal, 8(14) 138-154.
  9. Çakır, M., Çakır, F., & Gülşah, U. (2010). Üniversite öğrencilerinin tüketim tercihlerini etkileyen faktörlerin belirlenmesi. Organizasyon ve Yönetim Bilimleri Dergisi, 2(2), 87-94.
  10. Chen, H. (2012). The influence of perceived value and trust on online buying intention. Journal Of Computers, 7(7), 1655-1662.
  11. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Marcoulides, G. (Ed.), Modern methods for business research (pp. 295-336).
  12. Lawrence Erlbaum. Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modelling approach for measuring interaction effects, results from a Monte Carlo simulation study and an electronic-mail emotion/ adoption study. Informat