Araştırma Makalesi
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2000 YILINDAN GÜNÜMÜZE TEKNOLOJİ KABUL MODELİ ÇERÇEVESİNDE ÇEVRİMİÇİ ALIŞVERİŞ PRATİKLERİNİN İNCELENMESİ: BİR SİSTEMATİK LİTERATÜR TARAMASI

Yıl 2023, Cilt: 13 Sayı: 3, 1733 - 1758, 25.09.2023
https://doi.org/10.30783/nevsosbilen.1294292

Öz

Çevrimiçi alışveriş platformlarının tüketiciler tarafından kabulünün pazarlama profesyonelleri ve akademik çevrelerin gündemini fazlasıyla meşgul ettiği görülmektedir. Bu doğrultuda, mevcut araştırmada, çevrimiçi alışveriş olgusunu teknoloji kabul modeli (TKM) çerçevesinde ele alan ulusal ve uluslararası çalışmaların sistematik literatür taraması yöntemi kullanılarak ortaya koyulması ve bu bağlamda ileride yapılacak araştırmalara konu olabilecek araştırma boşluklarının belirlenmesi amaçlanmaktadır. 2000-2023 döneminde nihai olarak belirlenen 130 çalışmanın incelendiği araştırma bulgularına göre TKM kapsamında çevrimiçi alışveriş pratiklerinin incelendiği araştırma sayısındaki en önemli artış 2019-2021 yılları arasında gerçekleşmiştir. Ayrıca Türkiye ve Amerika Birleşik Devletleri’nin ilgili araştırma alanında sırasıyla en fazla çalışma yapılan ülkeler olduğu, araştırma türüne göre ise 130 çalışma arasında makalelerin açık ara ilk sırada yer aldığı görülmektedir. Çalışmaların çerçevelendiği temalar açısından faktör belirleme, model geliştirme veya TKM’nin geçerliğini sağlama kategorilerinin sırasıyla ilk üç sırada yer aldığı görülmektedir. Öte yandan, 130 çalışmanın çok büyük çoğunluğunun nicel yöntemlerden yararlanılarak gerçekleştirildiği belirlenmiştir.

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AN INVESTIGATION OF ONLINE SHOPPING PRACTICES WITHIN THE FRAMEWORK OF THE TECHNOLOGY ACCEPTANCE MODEL FROM 2000 TO THE PRESENT: A SYSTEMATIC LITERATURE REVIEW

Yıl 2023, Cilt: 13 Sayı: 3, 1733 - 1758, 25.09.2023
https://doi.org/10.30783/nevsosbilen.1294292

Öz

It is observed that the acceptance of online shopping platforms by consumers has been a topic of great interest for marketing professionals and academic circles. In this context, the present study aims to reveal the national and international studies that examine the online shopping phenomenon within the framework of the technology acceptance model (TAM) using the systematic literature review method and to identify research gaps that can be the subject of future research. According to the research findings, which examine a total of 130 studies identified between 2000 and 2023, the most significant increase in the number of studies that investigate online shopping practices within the scope of TAM occurred between 2019 and 2021. Turkey and the United States are respectively the countries with the highest number of studies conducted in the relevant research area, and according to the type of research, articles are ranked first among the 130 studies. In terms of the themes that frame the studies, determining factors, model development, and validating TAM categories are respectively ranked in the top three. Furthermore, it has been determined that the vast majority of the 130 studies were carried out using quantitative methods.

Kaynakça

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  • Saleem, A., Aslam, J., Kim, Y. B., Nauman, S. & Khan, N. T. (2022). Motives towards e-Shopping Adoption among Pakistani Consumers: An Application of the Technology Acceptance Model and Theory of Reasoned Action. Sustainability, 14(7), 1-16. https://doi.org/10.3390/su14074180
  • Salimon, M. G., Kareem, O., Mokhtar, S. S. M., Aliyu, O. A., Bamgbade, J. A. & Adeleke, A. Q. (2023). Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach. Journal of Science and Technology Policy Management, 14(1), 98-126. https://doi.org/10.1108/JSTPM-06-2019-0060
  • Sevim, N., Yüncü, D. & Hall, E. E. (2017). Analysis of the extended technology acceptance model in online travel products. Journal of Internet Applications and Management, 8(2), 45-61. https://doi.org/10.5505/iuyd.2017.03522
  • Seyhun, S. (2019). Mobil alışveriş uygulamalarının benimsenmesini etkileyen faktörlerin genişletilmiş teknoloji kabul modeli bağlamında incelenmesi [Yayımlanmamış yüksek lisans tezi]. Kırklareli Üniversitesi.
  • Seyhun, S. & Kurtuldu, G. (2020). Genişletilmiş Teknoloji Kabul Modeli Bağlamında Mobil Alışveriş Uygulamalarının Benimsenmesini Etkileyen Faktörler. Trakya Üniversitesi Sosyal Bilimler Dergisi, 22(1), 599-627. https://doi.org/10.26468/trakyasobed.617630
  • Shang, R. A., Chen, Y. C. & Shen, L. (2005). Extrinsic versus intrinsic motivations for consumers to shop on-line. Information and Management, 42(3), 401-413. https://doi.org/10.1016/j.im.2004.01.009
  • Sharp, J. H. (2007). Development, Extension, and Application: A Review of the Technology Acceptance Model. Information Systems Education Journal, 5(9), 1-11.
  • Shen, C. C. & Chiou, J. S. (2010). The impact of perceived ease of use on Internet service adoption: The moderating effects of temporal distance and perceived risk. Computers in Human Behavior, 26(1), 42-50. https://doi.org/10.1016/j.chb.2009.07.003
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  • Shruthi, V., Venkatachari, K., Hule, M. K. A., Lonare, M. M., Sathe, M. A. P. & Sonawane, M. P. R. (2023). Predicting the behavior of online buying insurance intention with the association of technological acceptance model. Journal of Data Acquisition and Processing, 38(1), 107-125. https://doi.org/10.5281/zenodo.7602726
  • Shukla, A. & Sharma, S. K. (2018). Evaluating consumers’ adoption of mobile technology for grocery shopping: An application of technology acceptance model. Vision, 22(2), 185-198. https://doi.org/10.1177/0972262918766136
  • Song, H., Ruan, W. J. & Jeon, Y. J. J. (2021). An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, 1-8. https://doi.org/10.1016/j.ijhm.2021.102943
  • Sun, T., Tai, Z. & Tsai, K. C. (2010). Perceived ease of use in prior e‐commerce experiences: A hierarchical model for its motivational antecedents. Psychology and Marketing, 27(9), 874-886. https://doi.org/10.1002/mar.20362
  • Şen, Ö. (2017). Online alışverişde satın alma davranışının planlı davranış teorisi, teknoloji kabul modeli, yenilik yayılım kuramı, tüketici alışkanlıkları ve güven faktörleriyle incelenmesi [Yayımlanmamış doktora tezi]. Haliç Üniversitesi.
  • Şıker, P. & Ülger, H. T. (2019). Online alışveriş niyetini etkileyen faktörlerin planlı davranışlar teorisi ve teknoloji kabul modelinin entegrasyonu ile incelenmesi. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 21(4), 1246-1260. https://doi.org/10.32709/akusosbil.525419
  • Thaichon, P. (2017). Consumer socialization process: The role of age in children's online shopping behavior. Journal of Retailing and Consumer Services, 34, 38-47. https://doi.org/10.1016/j.jretconser.2016.09.007
  • Toraman, Y. (2021). Tüketicilerin salgın hastaslık (Covid-19) dönemlerinde yeni teknolojileri benimsemelerinin teknoloji kabul modeli çerçevesinde incelenmesi: Hızlı tüketim malları özelinde, mobil uygulamalar üzerine bir araştırma [Yayımlanmamış yüksek lisans tezi]. İstanbul Üniversitesi.
  • Toraman, Y. & Yüksel, C. (2022). Covid-19 salgını sürecinde tüketicilerin yeni teknolojileri benimsemelerinin teknoloji kabul modeli (TKM) çerçevesinde temassız teslimat özelinde incelenmesi: Mobil uygulamalar üzerine bir araştırma. Doğuş Üniversitesi Dergisi, 23, Covid-19 Özel Sayısı, 17-34. https://doi.org/10.31671/doujournal.928518
  • Tranfield, D., Denyer, D. & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207-222. https://doi.org/10.1111/1467-8551.0037
  • Troise, C., O'Driscoll, A., Tani, M. & Prisco, A. (2021). Online food delivery services and behavioural intention–a test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664-683. https://doi.org/10.1108/BFJ-05-2020-041
  • Turan, A. H. (2008). İnternet alışverişi tüketici davranışını belirleyen etmenler: Geliştirilmiş Teknoloji Kabul Modeli (E-TAM) ile bir model önerisi. Akademik Bilişim, 8, 106-121.
  • Turner, M., Kitchenham, B., Brereton, P., Charters, S. & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463-479. https://doi.org/10.1016/j.infsof.2009.11.005
  • Tümtürk, A. (2015). İnternet üzerinden alışveriş niyetini belirleyen faktörlerin incelenmesi: Türkiye’de alışveriş deneyim düzeylerinin farklılığına ilişkin bir model önerisi [Yayımlanmamış doktora tezi]. Celal Bayar Üniversitesi.
  • Türker, C. (2019). Tüketicilerin yeni teknolojileri benimsemelerinin teknoloji kabul modeli boyutları itibarıyla incelenmesi: Mobil ödeme sistemleri üzerine bir araştırma [Yayımlanmamış yüksek lisans tezi]. İstanbul Üniversitesi.
  • Türker, A. & Türker, Ö. G. (2013). Turistik ürün satın alma davranışının teknoloji kabul modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15(2), 281-312.
  • Üstünkardeşler, D. (2022). Tüketicilerin online market alışverişi eğilimlerinin teknoloji kabul modeli ile incelenmesi [Yayımlanmamış yüksek lisans tezi]. Atatürk Üniversitesi.
  • Vahdat, A., Alizadeh, A., Quach, S. & Hamelin, N. (2020). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197. https://doi.org/10.1016/j.ausmj.2020.01.002
  • Valencia, D. C., Valencia-Arias, A., Bran, L., Benjumea, M. & Valencia, J. (2019). Analysis of e-commerce acceptance using the technology acceptance model. Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. https://hdl.handle.net/10195/72226
  • Van der Heijden, H., Verhagen, T. & Creemers, M. (2001, January). Predicting online purchase behavior: Replications and tests of competing models [Bildiri Sunumu]. 34th annual Hawaii international conference on system sciences, Maui.
  • Van Slyke, C., Belanger, F. & Comunale, C. L. (2004). Factors influencing the adoption of web-based shopping: The impact of trust. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 35(2), 32-49. https://doi.org/10.1145/1007965.1007969
  • Vărzaru, A. A., Bocean, C. G., Rotea, C. C. & Budică-Iacob, A. F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10(18), 1-16. https://doi.org/10.3390/electronics10182231
  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. https://doi.org/10.1287/isre.11.4.342.11872
  • Venkatesh, V. & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
  • Venkatesh, V. & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. http://dx.doi.org/10.1287/mnsc.46.2.186.11926
  • Verma, V., Sharma, D. & Sheth, J. (2016). Does relationship marketing matter in online retailing? A meta-analytic approach. Journal of the Academy of Marketing Science, 44, 206-217. https://doi.org/10.1007/s11747-015-0429-6
  • Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41(6), 747-762. https://doi.org/10.1016/j.im.2003.08.011
  • Viswanathan, V., Hollebeek, L. D., Malthouse, E. C., Maslowska, E., Jung Kim, S. & Xie, W. (2017). The dynamics of consumer engagement with mobile technologies. Service Science, 9(1), 36-49. https://doi.org/10.1287/serv.2016.0161
  • Wen, C., Prybutok, V. R. & Xu, C. (2011). An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 52(1), 14-23. https://doi.org/10.1080/08874417.2011.11645518
  • Wigand, R. T. (1997). Electronic commerce: Definition, theory, and context. The Information Society, 13(1), 1-16. https://doi.org/10.1080/019722497129241
  • Wu, J. & Song, S. (2021). Older adults’ online shopping continuance intentions: Applying the technology acceptance model and the theory of planned behavior. International Journal of Human–Computer Interaction, 37(10), 938-948. https://doi.org/10.1080/10447318.2020.1861419
  • Yadav, R. & Mahara, T. (2019). An empirical study of consumers intention to purchase wooden handicraft items online: Using extended technology acceptance model. Global Business Review, 20(2), 479-497. https://doi.org/10.1177/0972150917713899
  • Yaprak, Ü., Kılıç, F. & Okumuş, A. (2021). Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone. Technological Forecasting and Social Change, 169, 1-16. https://doi.org/10.1016/j.techfore.2021.120829
  • Yıldız, S. Y. (2019). Hedonik alışveriş motivasyonları ve teknoloji kabul modeli bileşenlerinin çevrimiçi satın alma niyetine etkisi: Sosyal medya kullanıcıları üzerine bir araştırma [Yayımlanmamış doktora tezi]. Çukurova Üniversitesi.
  • Yılmaz, Ö. (2018). Tüketicilerin online alışveriş niyetlerinin Teknoloji Kabul Modeli bağlamında incelenmesi. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 20(3), 331-346. https://doi.org/10.32709/akusosbil.478718
  • Yılmaz, H. (2022). E-ticaret alışverişlerinde ödeme yöntemi olarak karekod ile ödeme yönteminin kullanım eğiliminin teknoloji kabul modeli kullanılarak incelenmesi [Yayımlanmamış yüksek lisans tezi]. İstanbul Teknik Üniversitesi.
  • Yılmaz, C. & Tümtürk, A. (2015). İnternet üzerinden alışveriş niyetini etkileyen faktörlerin genişletilmiş teknoloji kabul modeli kullanarak incelenmesi ve bir model önerisi. Yönetim ve Ekonomi, 22 (2), 355-384. https://doi.org/10.18657/yecbu.76242
  • Yiğitoğlu, M. (2021). Sınır ötesi e-ticaret sitelerinden alışveriş yapan tüketicilerin satın alma davranışlarını etkileyen unsurların teknoloji kabul modeli çerçevesinde incelenmesi [Yayımlanmamış yüksek lisans tezi]. Erciyes Üniversitesi.
  • Yu, J., Ha, I., Choi, M. & Rho, J. (2005). Extending the TAM for a t-commerce. Information and Management, 42 (7), 965-976. https://doi.org/10.1016/j.im.2004.11.001
  • Zeba, F. & Ganguli, S. (2016). Word-of-mouth, trust, and perceived risk in online shopping: An extension of the technology acceptance model. International Journal of Information Systems in the Service Sector, 8(4), 17-32. https://doi.org/10.4018/IJISSS.2016100102
Toplam 185 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm İLETİŞİM
Yazarlar

Kenan Ateşgöz 0000-0002-2771-4965

Erken Görünüm Tarihi 20 Eylül 2023
Yayımlanma Tarihi 25 Eylül 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 13 Sayı: 3

Kaynak Göster

APA Ateşgöz, K. (2023). AN INVESTIGATION OF ONLINE SHOPPING PRACTICES WITHIN THE FRAMEWORK OF THE TECHNOLOGY ACCEPTANCE MODEL FROM 2000 TO THE PRESENT: A SYSTEMATIC LITERATURE REVIEW. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 13(3), 1733-1758. https://doi.org/10.30783/nevsosbilen.1294292