Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 12 Sayı: 23, 96 - 11, 31.05.2021
https://doi.org/10.47129/bartiniibf.882877

Öz

Kaynakça

  • Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Administrative Science Quarterly, 36(3), 421–458. https://doi.org/10.2307/2393203
  • Bashir, S., Khwaja, M. G., Mahmood, A., Turi, J. A., & Latif, K. F. (2021). Refining e-shoppers’ perceived risks: Development and validation of new measurement scale. Journal of Retailing and Consumer Services, 58, 102285.
  • Bauer, R. A. (1960). Consumer behavior as risk taking. Içinde R. S. Hancock (Ed.), Dynamic Marketing for a Changing World (ss. 389–398). American Marketing Association.
  • Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352–1360.
  • Chen, C. (2012). PRIS: A multiple-item scale for measuring perceived risk of internet shopping. Purdue University.
  • Desrochers, J., & François Outreville, J. (2020). Perceived risk and insurance decision taking for small losses. Journal of Risk Research, 23(4), 447–460.
  • Dholakia, U. M. (1997). An Investigation of the Relationship Between Perceived Risk and Product Involvement. Advances in Consumer Research, 24(1), 159–167.
  • Dowling, G. R. (1986). Perceived risk: the concept and its measurement. Psychology & Marketing, 3(3), 193–210.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
  • Hawes, J. M., & Lumpkin, J. R. (1986). Perceived risk and the selection of a retail patronage mode. Journal of the Academy of Marketing Science, 14(4), 37–42.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115–135.
  • Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer’s information adoption. Computers in Human Behavior, 66, 96–102.
  • Jacoby, J., & Kaplan, L. B. (1972). The Components of Perceived Risk. ACR Special Volumes, 382–393.
  • Lutz, R. J., & Reilly, P. J. (1974). An exploration of the effects of perceived social and performance risk on consumer information acquisition. ACR North American Advances, 1, 393–405.
  • Mello, S. C. B., & Collins, M. (1998). Risk Perception And Industrial Buyer Differences. Encontro Nacional da ANPAD.
  • Prasad, V. K. (1975). Socioeconomic product risk and patronage preferences of retail shoppers. Journal of Marketing, 39(3), 42–47.
  • Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Tourists’ information search: the differential impact of risk and uncertainty avoidance. International Journal of Tourism Research, 12(4), 321–333.
  • Ring, A., Shriber, M., & Horton, R. L. (1980). Some effects of perceived risk on consumer information processing. Journal of the Academy of Marketing Science, 8(3), 255–263.
  • Rosa, E. A. (2003). The logical structure of the social amplification of risk framework (SARF): Metatheoretical foundations and policy implications. The social amplification of risk, 47, 47–49.
  • Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of marketing, 35(1), 56–61.
  • Samadi, M., & Yaghoob-Nejadi, A. (2009). A survey of the effect of consumers’ perceived risk on purchase intention in e-shopping. Business Intelligence Journal, 2(2), 261–275.
  • Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196–202. https://doi.org/10.1057/s41270-019-00058-3
  • Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal (AMJ), 27(3), 197–211. https://doi.org/https://doi.org/10.1016/j.ausmj.2019.05.003
  • Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39–50.
  • Tseng, S.-Y., & Wang, C.-N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289–2296. https://doi.org/https://doi.org/10.1016/j.jbusres.2015.12.044
  • Zhang, L., Tan, W., Xu, Y., & Tan, G. (2012). Dimensions of perceived risk and their influence on consumers’ purchasing behavior in the overall process of B2C. Içinde Engineering education and management (ss. 1–10). Springer.

Elektronik Ticaret Alışverişinde Tüketicilerin Algıladığı Riskin Ölçümlenmesi: Çok Boyutlu Bir Yaklaşım

Yıl 2021, Cilt: 12 Sayı: 23, 96 - 11, 31.05.2021
https://doi.org/10.47129/bartiniibf.882877

Öz

Özellikle pandeminin etkisiyle elektronik ticaret (e-ticaret) sektörünün önemi gittikçe artmaktadır. Sektördeki gelişime paralel olarak tüketicilerin karşılaştığı risklerde farklılaşmakta ve satın alım sürecinden büyük sorunlar oluşturmaktadır. Literatürde bu konu ile ilgili çalışmalar var olmasına rağmen belirli risk boyutlarına odaklanıldığı gözlemlenmiştir. Daha kapsamlı risk boyutları ile ilgili çalışmaların oldukça kısıtlı olduğu anlaşılmaktadır. Dolayısıyla bu çalışma literatürdeki bu boşluğa önemli katkı sunması düşünülmektedir. Bu çalışmada e-ticaret tüketicilerinin algıladığı riskin ölçümlenmesi amaçlanmıştır. Bu doğrultuda 230 katılımcıdan veriler elde edilmiş ve bu verilerin analizinde en küçük kareler yöntemi ile yapısal eşitlik modeli kullanılmıştır. Bu analiz sonuçlarına göre bütün boyutlar algılana risk ana yapısıyla ilişki iken, tüketicilerin için en fazla riski oluşturan boyutlar benzer olmayan ürün, yetersiz hizmet ve işlem başarısızlığı olmuştur.

Kaynakça

  • Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Administrative Science Quarterly, 36(3), 421–458. https://doi.org/10.2307/2393203
  • Bashir, S., Khwaja, M. G., Mahmood, A., Turi, J. A., & Latif, K. F. (2021). Refining e-shoppers’ perceived risks: Development and validation of new measurement scale. Journal of Retailing and Consumer Services, 58, 102285.
  • Bauer, R. A. (1960). Consumer behavior as risk taking. Içinde R. S. Hancock (Ed.), Dynamic Marketing for a Changing World (ss. 389–398). American Marketing Association.
  • Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352–1360.
  • Chen, C. (2012). PRIS: A multiple-item scale for measuring perceived risk of internet shopping. Purdue University.
  • Desrochers, J., & François Outreville, J. (2020). Perceived risk and insurance decision taking for small losses. Journal of Risk Research, 23(4), 447–460.
  • Dholakia, U. M. (1997). An Investigation of the Relationship Between Perceived Risk and Product Involvement. Advances in Consumer Research, 24(1), 159–167.
  • Dowling, G. R. (1986). Perceived risk: the concept and its measurement. Psychology & Marketing, 3(3), 193–210.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
  • Hawes, J. M., & Lumpkin, J. R. (1986). Perceived risk and the selection of a retail patronage mode. Journal of the Academy of Marketing Science, 14(4), 37–42.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115–135.
  • Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer’s information adoption. Computers in Human Behavior, 66, 96–102.
  • Jacoby, J., & Kaplan, L. B. (1972). The Components of Perceived Risk. ACR Special Volumes, 382–393.
  • Lutz, R. J., & Reilly, P. J. (1974). An exploration of the effects of perceived social and performance risk on consumer information acquisition. ACR North American Advances, 1, 393–405.
  • Mello, S. C. B., & Collins, M. (1998). Risk Perception And Industrial Buyer Differences. Encontro Nacional da ANPAD.
  • Prasad, V. K. (1975). Socioeconomic product risk and patronage preferences of retail shoppers. Journal of Marketing, 39(3), 42–47.
  • Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Tourists’ information search: the differential impact of risk and uncertainty avoidance. International Journal of Tourism Research, 12(4), 321–333.
  • Ring, A., Shriber, M., & Horton, R. L. (1980). Some effects of perceived risk on consumer information processing. Journal of the Academy of Marketing Science, 8(3), 255–263.
  • Rosa, E. A. (2003). The logical structure of the social amplification of risk framework (SARF): Metatheoretical foundations and policy implications. The social amplification of risk, 47, 47–49.
  • Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of marketing, 35(1), 56–61.
  • Samadi, M., & Yaghoob-Nejadi, A. (2009). A survey of the effect of consumers’ perceived risk on purchase intention in e-shopping. Business Intelligence Journal, 2(2), 261–275.
  • Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196–202. https://doi.org/10.1057/s41270-019-00058-3
  • Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal (AMJ), 27(3), 197–211. https://doi.org/https://doi.org/10.1016/j.ausmj.2019.05.003
  • Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39–50.
  • Tseng, S.-Y., & Wang, C.-N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289–2296. https://doi.org/https://doi.org/10.1016/j.jbusres.2015.12.044
  • Zhang, L., Tan, W., Xu, Y., & Tan, G. (2012). Dimensions of perceived risk and their influence on consumers’ purchasing behavior in the overall process of B2C. Içinde Engineering education and management (ss. 1–10). Springer.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Makaleler
Yazarlar

İlhami Tuncer 0000-0002-6883-4461

Yayımlanma Tarihi 31 Mayıs 2021
Gönderilme Tarihi 18 Şubat 2021
Kabul Tarihi 5 Mayıs 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 12 Sayı: 23

Kaynak Göster

APA Tuncer, İ. (2021). Elektronik Ticaret Alışverişinde Tüketicilerin Algıladığı Riskin Ölçümlenmesi: Çok Boyutlu Bir Yaklaşım. Bartın Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 12(23), 96-11. https://doi.org/10.47129/bartiniibf.882877

Bartın Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Mayıs ve Kasım aylarında olmak üzere yılda iki defa yayımlanan, beş yılını doldurmuş çift kör hakemli uluslararası bir dergidir. Dergimiz 06.04.2015 tarihinden itibaren EBSCO Host’ta, Akademia Sosyal Bilimler İndeksi (ASOS), SOBIAD ve Google akademik indeksinde taranmaktadır. TR Dizin indeksinde taranması için de girişimlerde bulunulmuş olup değerlendirilme süreci devam etmektedir. 

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