Research Article
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Factors Affecting Consumers' Intention to Purchase Online

Year 2017, Volume: 8 Issue: 2, 63 - 74, 30.12.2017
https://doi.org/10.5505/iuyd.2017.91885

Abstract

The purpose of this study is to identify the effects of factors
affecting consumers' intention to purchase from the
Internet by presenting a model proposal on the intention to
purchase. As the internet makes life easier in every field,
consumers are facing new experiences and ways of buying.
It is necessary to investigate the reactions of the consumers
and to determine the new patterns among these
developments. As a result of empirical research, available
data was collected from 419 participants. According to the
structural equation model, while product and financial risk
have reverse relationship with intention to purchase, other
independent variables as convenience and, merchandise
variety and price consciousness have positive relationships

References

  • Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions. Journal of Marketing, 66(2), 120-141.
  • Crespo, A. H., del Bosque, I. R., & de los Salmones Sanchez, M. G. (2009). The Influence of Perceived Risk on Internet Shopping Behavior: A Multidimensional Perspective. Journal of Risk Research, 12(2), 259-277.
  • Dağtaş, E., & Yıldırım, O. (2015). İnternet ve Sosyal Ağlar Dolayımlı Gündelik Yaşam Pratikleri: Anadolu Üniversitesi Öğrencileri Üzerine Mikro Alan Araştırması. folklor/edebiyat, 21(83), 149-180.
  • Dholakia, U. M. (2001). A Motivational Process Model of Product Involvement and Consumer Risk Perception. European Journal of marketing, 35(11/12), 1340-1362.
  • Ganesh, J., Reynolds, K. E., Luckett, M., & Pomirleanu, N. (2010). Online Shopper Motivations, and E-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies. Journal of Retailing, 86(1), 106-115.
  • Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis. Pearson Publications. 6. Ed., England.
  • Hong, I. B. (2015). Understanding the Consumer's Online Merchant Selection Process: The Roles of Product Involvement, Perceived Risk, and Trust Expectation. International Journal of Information Management, 35(3), 322-336.
  • http://www.tuik.gov.tr/PreHaberBultenleri.do?id=21779 (access date: 02.10.2017)
  • Jiang, L., Yang, Z., & Jun, M. (2013). Measuring Consumer Perceptions of Online Shopping Convenience. Journal of Service Management, 24(2), 191-214.
  • Jun, M., Yang, Z., & Kim, D. (2004). Customers' Perceptions of Online Retailing Service Quality and Their Satisfaction. International Journal of Quality & Reliability Management, 21(8), 817-840.
  • Jung, K., Cho, Y. C., & Lee, S. (2014). Online Shoppers' Response to Price Comparison Sites. Journal of Business Research, 67(10), 2079-2087.
  • Kacen, J. J., Hess, J. D., & Chiang, W. Y. K. (2013). Bricks or Clicks? Consumer Attitudes toward Traditional Stores and Online Stores. Global Economics and Management Review, 18(1), 12-21.
  • Konuş, U., Verhoef, P. C., & Neslin, S. A. (2008). Multichannel Shopper Segments and Their Covariates. Journal of Retailing, 84(4), 398-413.
  • Kurtuluş, K., Kurtuluş, S., Yeniçeri, T., & Yaraş, E. (2005). The Role of Psychographics in Explaining Store Brand Buying Behavior. Boğaziçi Journal, 19(1-2), 99-113.
  • Lester, D. H., Forman, A. M., & Loyd, D. (2006). Internet Shopping and Buying Behavior of College Students. Services Marketing Quarterly, 27(2), 123-138.
  • Mosteller, J., Donthu, N., & Eroglu, S. (2014). The Fluent Online Shopping Experience. Journal of Business Research, 67(11), 2486-2493.
  • Nepomuceno, M. V., Laroche, M., & Richard, M. O. (2014). How to Reduce Perceived Risk When Buying Online: The Interactions between Intangibility, Product Knowledge, Brand Familiarity, Privacy and Security Concerns. Journal of Retailing and Consumer Services, 21(4), 619-629.
  • Pappas, N., & Pappas, N. (2017). The Complexity of Purchasing Intentions in Peer-To-Peer Accommodation. International Journal of Contemporary Hospitality Management, 29(9), 2302-2321.
  • Peter, J. P., & Ryan, M. J. (1976). An Investigation of Perceived Risk at the Brand Level. Journal of marketing research, 13(2), 184-188.
  • Scarpi, D., Pizzi, G., & Visentin, M. (2014). Shopping For Fun or Shopping To Buy: Is It Different Online and Offline? Journal of Retailing and Consumer Services, 21(3), 258-267.
  • Sperber, A. D. (2004). Translation and validation of study instruments for cross-cultural research. Gastroenterology, 126(1), S124 S128.
  • Stone, R. N., & Grønhaug, K. (1993). Perceived Risk: Further Considerations for the Marketing Discipline. European Journal of marketing, 27(3), 39-50.
  • Taylor, J. W. (1974). The Role of Risk In Consumer Behavior. The Journal of Marketing, 54-60.
  • Terblanche, N. S. (2018). Revisiting the Supermarket In-Store Customer Shopping Experience. Journal of Retailing and Consumer Services, 40, 48-59.
  • Turan, A. H. (2008). İnternet Alışverişi Tüketici Davranışını Belirleyen Etmenler: Geliştirilmiş Teknoloji Kabul Modeli (E-TAM) İle Bir Model Önerisi. Akademik Bilişim-2008, 723-731.
  • Turan, A. H. (2011). İnternet Alişverişi Tüketici Davranişini Belirleyen Etmenler: Planli Davraniş Teorisi (Tpb) İle Ampirik Bir Test. Doğuş Üniversitesi Dergisi, 12(1), 128-143.
  • Wang, X., Yu, C., & Wei, Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208.
  • Wellman, B., Quan-Haase, A., Boase, J., Chen, W., Hampton, K., Díaz, I., & Miyata, K. (2003). The Social Affordances of the Internet for Networked Individualism. Journal of Computer-Mediated Communication, 8(3), 0-0.
  • Yakın, V. (2011). İnternet Perakendeciliği ve Ağızdan Ağıza Pazarlama İlişkisi; Tuğla Duvarlar Yıkılabilir mi? Akademik Bakış Dergisi, 27, 1-18.
  • Yücel, İ. (2012). Examining the Relationships among Job Satisfaction, Organizational Commitment, and Turnover İntention: An Empirical Study. International Journal of Business and Management, 7(20), 44- 58.

Tüketicilerin İnternet üzerinden satın alma niyetini etkileyen faktörler

Year 2017, Volume: 8 Issue: 2, 63 - 74, 30.12.2017
https://doi.org/10.5505/iuyd.2017.91885

Abstract

Bu çalışmanın amacı tüketicilerin İnternet’ten alışveriş
yapma niyetlerini etkileyen faktörlerin satın alma niyeti
üzerindeki etkisini bir model önerisi sunarak ortaya
koyarak, bu etkilerin güçlerini sıralandırabilmektir.
İnternet’in her alanda hayatı kolaylaştırdığı günümüzde,
tüketiciler de yeni deneyimler ve satın alma yollarını
öğrenmektedir. Tüm bu gelişmeler karşısında tüketicilerin
verdiği tepkilerin araştırılması ve yeni örüntülerin
belirlenmesi gerekmektedir. Ampirik araştırma sonucunda
419 katılımcıdan kullanılabilir veri toplanmıştır. Yapısal
eşitlik modelinin sonuçlarına göre ürün ve finansal risk
boyutu satın alma niyeti ile ters yönlü bir ilişkiye sahiptir.
Erişilebilirlik, ürün çeşitliliği ve uygun fiyat boyutları
İnternet’ten satın alma davranışı üzerinde pozitif etkiye
sahiptir. 

References

  • Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions. Journal of Marketing, 66(2), 120-141.
  • Crespo, A. H., del Bosque, I. R., & de los Salmones Sanchez, M. G. (2009). The Influence of Perceived Risk on Internet Shopping Behavior: A Multidimensional Perspective. Journal of Risk Research, 12(2), 259-277.
  • Dağtaş, E., & Yıldırım, O. (2015). İnternet ve Sosyal Ağlar Dolayımlı Gündelik Yaşam Pratikleri: Anadolu Üniversitesi Öğrencileri Üzerine Mikro Alan Araştırması. folklor/edebiyat, 21(83), 149-180.
  • Dholakia, U. M. (2001). A Motivational Process Model of Product Involvement and Consumer Risk Perception. European Journal of marketing, 35(11/12), 1340-1362.
  • Ganesh, J., Reynolds, K. E., Luckett, M., & Pomirleanu, N. (2010). Online Shopper Motivations, and E-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies. Journal of Retailing, 86(1), 106-115.
  • Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis. Pearson Publications. 6. Ed., England.
  • Hong, I. B. (2015). Understanding the Consumer's Online Merchant Selection Process: The Roles of Product Involvement, Perceived Risk, and Trust Expectation. International Journal of Information Management, 35(3), 322-336.
  • http://www.tuik.gov.tr/PreHaberBultenleri.do?id=21779 (access date: 02.10.2017)
  • Jiang, L., Yang, Z., & Jun, M. (2013). Measuring Consumer Perceptions of Online Shopping Convenience. Journal of Service Management, 24(2), 191-214.
  • Jun, M., Yang, Z., & Kim, D. (2004). Customers' Perceptions of Online Retailing Service Quality and Their Satisfaction. International Journal of Quality & Reliability Management, 21(8), 817-840.
  • Jung, K., Cho, Y. C., & Lee, S. (2014). Online Shoppers' Response to Price Comparison Sites. Journal of Business Research, 67(10), 2079-2087.
  • Kacen, J. J., Hess, J. D., & Chiang, W. Y. K. (2013). Bricks or Clicks? Consumer Attitudes toward Traditional Stores and Online Stores. Global Economics and Management Review, 18(1), 12-21.
  • Konuş, U., Verhoef, P. C., & Neslin, S. A. (2008). Multichannel Shopper Segments and Their Covariates. Journal of Retailing, 84(4), 398-413.
  • Kurtuluş, K., Kurtuluş, S., Yeniçeri, T., & Yaraş, E. (2005). The Role of Psychographics in Explaining Store Brand Buying Behavior. Boğaziçi Journal, 19(1-2), 99-113.
  • Lester, D. H., Forman, A. M., & Loyd, D. (2006). Internet Shopping and Buying Behavior of College Students. Services Marketing Quarterly, 27(2), 123-138.
  • Mosteller, J., Donthu, N., & Eroglu, S. (2014). The Fluent Online Shopping Experience. Journal of Business Research, 67(11), 2486-2493.
  • Nepomuceno, M. V., Laroche, M., & Richard, M. O. (2014). How to Reduce Perceived Risk When Buying Online: The Interactions between Intangibility, Product Knowledge, Brand Familiarity, Privacy and Security Concerns. Journal of Retailing and Consumer Services, 21(4), 619-629.
  • Pappas, N., & Pappas, N. (2017). The Complexity of Purchasing Intentions in Peer-To-Peer Accommodation. International Journal of Contemporary Hospitality Management, 29(9), 2302-2321.
  • Peter, J. P., & Ryan, M. J. (1976). An Investigation of Perceived Risk at the Brand Level. Journal of marketing research, 13(2), 184-188.
  • Scarpi, D., Pizzi, G., & Visentin, M. (2014). Shopping For Fun or Shopping To Buy: Is It Different Online and Offline? Journal of Retailing and Consumer Services, 21(3), 258-267.
  • Sperber, A. D. (2004). Translation and validation of study instruments for cross-cultural research. Gastroenterology, 126(1), S124 S128.
  • Stone, R. N., & Grønhaug, K. (1993). Perceived Risk: Further Considerations for the Marketing Discipline. European Journal of marketing, 27(3), 39-50.
  • Taylor, J. W. (1974). The Role of Risk In Consumer Behavior. The Journal of Marketing, 54-60.
  • Terblanche, N. S. (2018). Revisiting the Supermarket In-Store Customer Shopping Experience. Journal of Retailing and Consumer Services, 40, 48-59.
  • Turan, A. H. (2008). İnternet Alışverişi Tüketici Davranışını Belirleyen Etmenler: Geliştirilmiş Teknoloji Kabul Modeli (E-TAM) İle Bir Model Önerisi. Akademik Bilişim-2008, 723-731.
  • Turan, A. H. (2011). İnternet Alişverişi Tüketici Davranişini Belirleyen Etmenler: Planli Davraniş Teorisi (Tpb) İle Ampirik Bir Test. Doğuş Üniversitesi Dergisi, 12(1), 128-143.
  • Wang, X., Yu, C., & Wei, Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208.
  • Wellman, B., Quan-Haase, A., Boase, J., Chen, W., Hampton, K., Díaz, I., & Miyata, K. (2003). The Social Affordances of the Internet for Networked Individualism. Journal of Computer-Mediated Communication, 8(3), 0-0.
  • Yakın, V. (2011). İnternet Perakendeciliği ve Ağızdan Ağıza Pazarlama İlişkisi; Tuğla Duvarlar Yıkılabilir mi? Akademik Bakış Dergisi, 27, 1-18.
  • Yücel, İ. (2012). Examining the Relationships among Job Satisfaction, Organizational Commitment, and Turnover İntention: An Empirical Study. International Journal of Business and Management, 7(20), 44- 58.
There are 30 citations in total.

Details

Primary Language English
Subjects Economics
Journal Section Research Article
Authors

Eyyup Yaraş

Meltem Yetkin Özbük

Duygu Aydın Ünal

Publication Date December 30, 2017
Published in Issue Year 2017 Volume: 8 Issue: 2

Cite

APA Yaraş, E., Yetkin Özbük, M., & Aydın Ünal, D. (2017). Factors Affecting Consumers’ Intention to Purchase Online. İnternet Uygulamaları Ve Yönetimi Dergisi, 8(2), 63-74. https://doi.org/10.5505/iuyd.2017.91885