Araştırma Makalesi
BibTex RIS Kaynak Göster

MOBİL TİCARET UYGULAMALARINDA TÜKETİCİLERİN ANLIK SATIN ALMA DAVRANIŞININ İNCELENMESİ: AKIŞ DENEYİMİ VE TAKINTILI İNTERNET KULLANIMININ ARACI ROLÜ

Yıl 2026, Cilt: 24 Sayı: 60 , 657 - 683 , 29.03.2026
https://doi.org/10.35408/comuybd.1811522
https://izlik.org/JA69TJ26YW

Öz

Mobil ticaret uygulamalarında gerçekleşen satış hacmi hızla artmaktadır. Özellikle Covid-19 pandemisi tüketicilerin alışveriş davranışlarını önemli ölçüde değiştirmiştir. Ortaya çıkan değişim, çevirimiçi alışverişte büyük bir artışa yol açmıştır. Bu araştırmanın amacı, mobil ticaret uygulamalarında tüketicilerin anlık satın alma davranışını etkileyen faktörleri incelemektir. Bu kapsamda, mobil ticaret uygulamalarından alışveriş yapan 227 tüketiciden anket vasıtasıyla veri toplanmıştır. Toplanan veriler araştırma modeli kapsamında SmartPLS programı kullanılarak analiz edilmiştir. Analiz sonucunda mobil uygulama atmosfer ipuçlarının anlık satın alma davranışına etkisinde akış deneyimi ve takıntılı internet kullanımın aracı etkisi olduğu belirlenmiştir. Ayrıca akış deneyimi ve takıntılı internet kullanımının anlık satın alma davranışının anlamlı öncülleri olduğu sonucuna ulaşılmıştır. Araştırma sonucunda pazarlama literatürüne katkı sağlayacak çıkarımlar sunulmuştur.

Kaynakça

  • Bao, Z., & Yang, J. (2022). Why online consumers have the urge to buy impulsively: Roles of serendipity, trust and flow experience. Management Decision, 60(12), 3350-3365. https://doi.org/10.1108/MD-07-2021-0900
  • Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314. https://doi.org/10.1016/j.jbusres.2007.06.017
  • Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089-1097. https://doi.org/10.1016/j.chb.2010.03.012
  • Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M. K. O., & Liang, L. (2017). Understanding compulsive smartphone use: An empirical test of a flow-based model. International Journal Of Information Management, 37(5), 438-454. https://doi.org/10.1016/j.ijinfomgt.2017.04.009
  • Chen, J. V., Ha, Q.-A., & Vu, M. T. (2023). The Influences of Virtual Reality Shopping Characteristics on Consumers’ Impulse Buying Behavior. International Journal of Human–Computer Interaction, 39(17), 3473-3491. https://doi.org/10.1080/10447318.2022.2098566
  • Chen, Y., Liu, J., & Fan, S. (2018). The Impacts of Environmental Cues and Browsing Experience on Impulse Buying on Social Shopping Website. Içinde Y. P. Tu (Ed.), Seventeenth Wuhan International Conference On E-Business (ss. 366-374). Univ Calgary Press. https://www.webofscience.com/wos/woscc/summary/83a635f1-4e14-4590-a186-1640d8fccc2d-c3807a39/relevance/1
  • Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. Optimal experience: Psychological studies of flow in consciousness, 2, 15-35.
  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of personality and social psychology, 56(5), 815.
  • Cui, Y., Liu, Y., & Gu, M. (2022). Investigating the Key Drivers of Impulsive Buying Behavior in Live Streaming. Journal Of Global Information Management, 30(1). https://doi.org/10.4018/jgim.314226
  • Dawson, S., & Kim, M. (2010). Cues on apparel web sites that trigger impulse purchases. Journal of Fashion Marketing and Management: An International Journal, 14(2), 230-246. https://doi.org/10.1108/13612021011046084
  • Deokule, A. S., & Katole, H. (2021). Understanding Consumers Online Impulse Grocery Shopping: A Stimulus Organism Response Framework Approach. Bioscience Biotechnology RESEARCH COMMUNICATIONS, 14(5), 56-60. https://doi.org/10.21786/bbrc/14.5/12
  • Farhat, K., Aslam, W., Arif, I., & Ahmed, Z. (2022). Does the Dark Side of Personality Traits Explain Compulsive Smartphone Use of Higher Education Students? The Interaction Effect of Dark Side of Personality with Desirability and Feasibility of Smartphone Use. IIM Kozhikode Society & Management Review, 11(1), 62-74. https://doi.org/10.1177/22779752211000479
  • Farivar, S., & Yuan, Y. (2017). Understanding Consumers’ Impulse Buying Behavior in Social Commerce Platforms. Amcıs 2017 Proceedıngs. 23rd Americas Conference on Information Systems (AMCIS), Atlanta. https://www.webofscience.com/wos/woscc/summary/83a635f1-4e14-4590-a186-1640d8fccc2d-c3807a39/relevance/1
  • Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12(6), 425-439. https://doi.org/10.1016/j.elerap.2013.06.001
  • 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/10.2307/3151312
  • Gupta, P., Prashar, S., Parsad, C., & Vijay, T. S. (2021). Role of Shopping App Attributes in Creating Urges for Impulse Buying: An Empirical Investigation Using SEM and Neural Network Technique. Journal of Electronic Commerce in Organizations (JECO), 19(1), 43-64. https://doi.org/10.4018/JECO.2021010103
  • Gürbüz, S. (2019). Structural equation modeling with AMOS. Seckin/Hukuk.
  • Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130
  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of marketing, 60(3), 50-68.
  • Hostler, R. E., Yoon, V. Y., Guo, Z., Guimaraes, T., & Forgionne, G. (2011). Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior. Information & Management, 48(8), 336-343. https://doi.org/10.1016/j.im.2011.08.002
  • Huang, L. T. (2021). Exploring the Affective Way Leading to Impulse Buying in Social Media Live Streaming. 2021 IEEE International Conference On Industrial Engıneering And Engineering Management (IEEE IEEM21), 1323-1327. https://doi.org/10.1109/IEEM50564.2021.9672962
  • Huo, C., Wang, X., Sadiq, M. W., & Pang, M. (2023). Exploring Factors Affecting Consumer’s Impulse Buying Behavior in Live-Streaming Shopping: An Interactive Research Based Upon SOR Model. Sage Open, 13(2), 21582440231172678. https://doi.org/10.1177/21582440231172678
  • Iyer, G. R., Blut, M., Xiao, S. H., & Grewal, D. (2020). Impulse buying: A meta-analytic review. Journal of the Academy of Marketing Science, 48(3), 384-404. https://doi.org/10.1007/s11747-019-00670-w
  • Kacen, J. J., & Lee, J. A. (2002). The Influence of Culture on Consumer Impulsive Buying Behavior. Journal of Consumer Psychology, 12(2), 163-176. https://doi.org/10.1207/S15327663JCP1202_08
  • Kline, R. B. (2023). Principles and Practice of Structural Equation Modeling. Guilford Publications.
  • Lee, J., & Johnson, K. K. P. (2010). Buying Fashion Impulsively: Environmental and Personal Influences. Journal Of Global Fashion Marketing, 1(1), 30-39. https://doi.org/10.1080/20932685.2010.10593055
  • Mason, M. C., Zamparo, G., Marini, A., & Ameen, N. (2022). Glued to your phone? Generation Z’s smartphone addiction and online compulsive buying. Computers In Human Behavior, 136, 107404. https://doi.org/10.1016/j.chb.2022.107404
  • Redine, A., Deshpande, S., Jebarajakirthy, C., & Surachartkumtonkun, J. (2023). Impulse buying: A systematic literature review and future research directions. International Journal of Consumer Studies, 47(1), 3-41. https://doi.org/10.1111/ijcs.12862
  • Sarah, F. H., Goi, C. L., Chieng, F., & Taufique, K. M. R. (2021). Examining the Influence of Atmospheric Cues on Online Impulse Buying Behavior across Product Categories: Insights from an Emerging E-Market. Journal Of Internet Commerce, 20(1), 25-45. https://doi.org/10.1080/15332861.2020.1836593
  • Shi, W., Li, F., & Hu, M. (2023). The influence of atmospheric cues and social presence on consumers’ impulse buying behaviors in e-commerce live streaming. Electronic Commerce Research. https://doi.org/10.1007/s10660-023-09793-3
  • STATISTA. (2020). eCommerce: Market data & analysis. Statista. https://www.statista.com/study/42335/ecommerce-report/
  • TUIK. (2023). TÜİK Kurumsal. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2023-49407
  • Turel, O., Serenko, A., & Giles, P. (2011). Integrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1. MIS quarterly, 35(4), 1043-A18.
  • UNCTAD. (2021). COVID-19 and e-commerce: A global review | UNCTAD. https://unctad.org/publication/covid-19-and-e-commerce-global-review
  • Vihari, N. S., Sinha, N. K., Tyagi, A., & Mittal, S. (2022). Effect of mindfulness on online impulse buying: Moderated mediation model of problematic internet use and emotional intelligence. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1012331
  • Vojvodic, K. D., Sosic, M. D. M., & Zugic, J. D. (2018). Rethinking Impulse Buying Behaviour: Evidence from Generation Y Consumers. Casopıs Za Ekonomıju I Trzısne Komunıkacıje, 8(1), 55-71. https://doi.org/10.7251/EMC1801055V
  • Wei, W. J., Ma, Z. J., & Chen, Y. W. (2017). Empirical Study of the Relationship Between Flow Experience, Perceived Transaction Value and Impulse Buying Behavior. 2017 IEEE International Conference On Industrıal Engineering And Engineering Management (IEEM), 2246-2250. https://www.webofscience.com/wos/woscc/summary/f3bcf6da-ab3b-4e5e-a36d-9e409b5b8ba3-c37b98f4/relevance/1
  • Wu, I.-L., Chen, K.-W., & Chiu, M.-L. (2016). Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users. International Journal Of Information Management, 36(3), 284-296. https://doi.org/10.1016/j.ijinfomgt.2015.11.015
  • Yıldız, E. (2020). SmartPLS ile yapısal eşitlik modellemesi reflektif ve formatif yapılar. Ankara: Seçkin Yayıncılık.
  • Youn, S., & Faber, R. J. (2000). Impulse buying: Its relation to personality traits and cues. Içinde S. J. Hoch & R. J. Meyer (Ed.), Advances In Consumer Research, VOL 27 (C. 27, ss. 179-185). 30th Annual Conference of the Association-for-Consumer-Research (ACR), Duluth. Assoc Consumer Research. https://www.webofscience.com/wos/woscc/summary/c4b5725d-0b71-41b8-9b1e-9581d41d1d58-c382ffa0/relevance/1
  • Zhou, T. (2012). Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 13(1), 27-37. https://doi.org/10.1007/s10799-011-0111-8

EXAMINING CONSUMERS’ IMPULSIVE BUYING BEHAVIOR IN MOBILE COMMERCE APPLICATIONS: THE MEDIATING ROLE OF FLOW EXPERIENCE AND COMPULSIVE INTERNET USE

Yıl 2026, Cilt: 24 Sayı: 60 , 657 - 683 , 29.03.2026
https://doi.org/10.35408/comuybd.1811522
https://izlik.org/JA69TJ26YW

Öz

Sales volume in mobile commerce applications continues to increase rapidly. The impact of the Covid-19 pandemic, in particular, has significantly altered consumer shopping behavior. This change has led to a large increase in online shopping. Therefore, the aim of this research is to examine the factors influencing consumers' impulsive buying behavior in mobile commerce applications. Data was collected from 227 consumers who shopped through mobile commerce applications via surveys. The collected data was analyzed using the SmartPLS program within the framework of the research model. The analysis revealed that flow experience and compulsive internet use had a mediating effect on the influence of mobile application atmosphere cues on impulsive buying behavior. Furthermore, it was concluded that flow experience and compulsive internet use were significant antecedents of impulsive buying behavior. The research offers insights that will contribute to the marketing literature.

Kaynakça

  • Bao, Z., & Yang, J. (2022). Why online consumers have the urge to buy impulsively: Roles of serendipity, trust and flow experience. Management Decision, 60(12), 3350-3365. https://doi.org/10.1108/MD-07-2021-0900
  • Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314. https://doi.org/10.1016/j.jbusres.2007.06.017
  • Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089-1097. https://doi.org/10.1016/j.chb.2010.03.012
  • Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M. K. O., & Liang, L. (2017). Understanding compulsive smartphone use: An empirical test of a flow-based model. International Journal Of Information Management, 37(5), 438-454. https://doi.org/10.1016/j.ijinfomgt.2017.04.009
  • Chen, J. V., Ha, Q.-A., & Vu, M. T. (2023). The Influences of Virtual Reality Shopping Characteristics on Consumers’ Impulse Buying Behavior. International Journal of Human–Computer Interaction, 39(17), 3473-3491. https://doi.org/10.1080/10447318.2022.2098566
  • Chen, Y., Liu, J., & Fan, S. (2018). The Impacts of Environmental Cues and Browsing Experience on Impulse Buying on Social Shopping Website. Içinde Y. P. Tu (Ed.), Seventeenth Wuhan International Conference On E-Business (ss. 366-374). Univ Calgary Press. https://www.webofscience.com/wos/woscc/summary/83a635f1-4e14-4590-a186-1640d8fccc2d-c3807a39/relevance/1
  • Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. Optimal experience: Psychological studies of flow in consciousness, 2, 15-35.
  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of personality and social psychology, 56(5), 815.
  • Cui, Y., Liu, Y., & Gu, M. (2022). Investigating the Key Drivers of Impulsive Buying Behavior in Live Streaming. Journal Of Global Information Management, 30(1). https://doi.org/10.4018/jgim.314226
  • Dawson, S., & Kim, M. (2010). Cues on apparel web sites that trigger impulse purchases. Journal of Fashion Marketing and Management: An International Journal, 14(2), 230-246. https://doi.org/10.1108/13612021011046084
  • Deokule, A. S., & Katole, H. (2021). Understanding Consumers Online Impulse Grocery Shopping: A Stimulus Organism Response Framework Approach. Bioscience Biotechnology RESEARCH COMMUNICATIONS, 14(5), 56-60. https://doi.org/10.21786/bbrc/14.5/12
  • Farhat, K., Aslam, W., Arif, I., & Ahmed, Z. (2022). Does the Dark Side of Personality Traits Explain Compulsive Smartphone Use of Higher Education Students? The Interaction Effect of Dark Side of Personality with Desirability and Feasibility of Smartphone Use. IIM Kozhikode Society & Management Review, 11(1), 62-74. https://doi.org/10.1177/22779752211000479
  • Farivar, S., & Yuan, Y. (2017). Understanding Consumers’ Impulse Buying Behavior in Social Commerce Platforms. Amcıs 2017 Proceedıngs. 23rd Americas Conference on Information Systems (AMCIS), Atlanta. https://www.webofscience.com/wos/woscc/summary/83a635f1-4e14-4590-a186-1640d8fccc2d-c3807a39/relevance/1
  • Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12(6), 425-439. https://doi.org/10.1016/j.elerap.2013.06.001
  • 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/10.2307/3151312
  • Gupta, P., Prashar, S., Parsad, C., & Vijay, T. S. (2021). Role of Shopping App Attributes in Creating Urges for Impulse Buying: An Empirical Investigation Using SEM and Neural Network Technique. Journal of Electronic Commerce in Organizations (JECO), 19(1), 43-64. https://doi.org/10.4018/JECO.2021010103
  • Gürbüz, S. (2019). Structural equation modeling with AMOS. Seckin/Hukuk.
  • Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130
  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of marketing, 60(3), 50-68.
  • Hostler, R. E., Yoon, V. Y., Guo, Z., Guimaraes, T., & Forgionne, G. (2011). Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior. Information & Management, 48(8), 336-343. https://doi.org/10.1016/j.im.2011.08.002
  • Huang, L. T. (2021). Exploring the Affective Way Leading to Impulse Buying in Social Media Live Streaming. 2021 IEEE International Conference On Industrial Engıneering And Engineering Management (IEEE IEEM21), 1323-1327. https://doi.org/10.1109/IEEM50564.2021.9672962
  • Huo, C., Wang, X., Sadiq, M. W., & Pang, M. (2023). Exploring Factors Affecting Consumer’s Impulse Buying Behavior in Live-Streaming Shopping: An Interactive Research Based Upon SOR Model. Sage Open, 13(2), 21582440231172678. https://doi.org/10.1177/21582440231172678
  • Iyer, G. R., Blut, M., Xiao, S. H., & Grewal, D. (2020). Impulse buying: A meta-analytic review. Journal of the Academy of Marketing Science, 48(3), 384-404. https://doi.org/10.1007/s11747-019-00670-w
  • Kacen, J. J., & Lee, J. A. (2002). The Influence of Culture on Consumer Impulsive Buying Behavior. Journal of Consumer Psychology, 12(2), 163-176. https://doi.org/10.1207/S15327663JCP1202_08
  • Kline, R. B. (2023). Principles and Practice of Structural Equation Modeling. Guilford Publications.
  • Lee, J., & Johnson, K. K. P. (2010). Buying Fashion Impulsively: Environmental and Personal Influences. Journal Of Global Fashion Marketing, 1(1), 30-39. https://doi.org/10.1080/20932685.2010.10593055
  • Mason, M. C., Zamparo, G., Marini, A., & Ameen, N. (2022). Glued to your phone? Generation Z’s smartphone addiction and online compulsive buying. Computers In Human Behavior, 136, 107404. https://doi.org/10.1016/j.chb.2022.107404
  • Redine, A., Deshpande, S., Jebarajakirthy, C., & Surachartkumtonkun, J. (2023). Impulse buying: A systematic literature review and future research directions. International Journal of Consumer Studies, 47(1), 3-41. https://doi.org/10.1111/ijcs.12862
  • Sarah, F. H., Goi, C. L., Chieng, F., & Taufique, K. M. R. (2021). Examining the Influence of Atmospheric Cues on Online Impulse Buying Behavior across Product Categories: Insights from an Emerging E-Market. Journal Of Internet Commerce, 20(1), 25-45. https://doi.org/10.1080/15332861.2020.1836593
  • Shi, W., Li, F., & Hu, M. (2023). The influence of atmospheric cues and social presence on consumers’ impulse buying behaviors in e-commerce live streaming. Electronic Commerce Research. https://doi.org/10.1007/s10660-023-09793-3
  • STATISTA. (2020). eCommerce: Market data & analysis. Statista. https://www.statista.com/study/42335/ecommerce-report/
  • TUIK. (2023). TÜİK Kurumsal. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2023-49407
  • Turel, O., Serenko, A., & Giles, P. (2011). Integrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1. MIS quarterly, 35(4), 1043-A18.
  • UNCTAD. (2021). COVID-19 and e-commerce: A global review | UNCTAD. https://unctad.org/publication/covid-19-and-e-commerce-global-review
  • Vihari, N. S., Sinha, N. K., Tyagi, A., & Mittal, S. (2022). Effect of mindfulness on online impulse buying: Moderated mediation model of problematic internet use and emotional intelligence. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1012331
  • Vojvodic, K. D., Sosic, M. D. M., & Zugic, J. D. (2018). Rethinking Impulse Buying Behaviour: Evidence from Generation Y Consumers. Casopıs Za Ekonomıju I Trzısne Komunıkacıje, 8(1), 55-71. https://doi.org/10.7251/EMC1801055V
  • Wei, W. J., Ma, Z. J., & Chen, Y. W. (2017). Empirical Study of the Relationship Between Flow Experience, Perceived Transaction Value and Impulse Buying Behavior. 2017 IEEE International Conference On Industrıal Engineering And Engineering Management (IEEM), 2246-2250. https://www.webofscience.com/wos/woscc/summary/f3bcf6da-ab3b-4e5e-a36d-9e409b5b8ba3-c37b98f4/relevance/1
  • Wu, I.-L., Chen, K.-W., & Chiu, M.-L. (2016). Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users. International Journal Of Information Management, 36(3), 284-296. https://doi.org/10.1016/j.ijinfomgt.2015.11.015
  • Yıldız, E. (2020). SmartPLS ile yapısal eşitlik modellemesi reflektif ve formatif yapılar. Ankara: Seçkin Yayıncılık.
  • Youn, S., & Faber, R. J. (2000). Impulse buying: Its relation to personality traits and cues. Içinde S. J. Hoch & R. J. Meyer (Ed.), Advances In Consumer Research, VOL 27 (C. 27, ss. 179-185). 30th Annual Conference of the Association-for-Consumer-Research (ACR), Duluth. Assoc Consumer Research. https://www.webofscience.com/wos/woscc/summary/c4b5725d-0b71-41b8-9b1e-9581d41d1d58-c382ffa0/relevance/1
  • Zhou, T. (2012). Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 13(1), 27-37. https://doi.org/10.1007/s10799-011-0111-8
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Üretim ve Operasyon Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Burak Buğrahan Devran 0000-0003-0600-8022

Şükran Başanbaş 0000-0001-5780-151X

Zehra Bozbay 0000-0002-2728-8003

Gönderilme Tarihi 27 Ekim 2025
Kabul Tarihi 16 Mart 2026
Yayımlanma Tarihi 29 Mart 2026
DOI https://doi.org/10.35408/comuybd.1811522
IZ https://izlik.org/JA69TJ26YW
Yayımlandığı Sayı Yıl 2026 Cilt: 24 Sayı: 60

Kaynak Göster

APA Devran, B. B., Başanbaş, Ş., & Bozbay, Z. (2026). MOBİL TİCARET UYGULAMALARINDA TÜKETİCİLERİN ANLIK SATIN ALMA DAVRANIŞININ İNCELENMESİ: AKIŞ DENEYİMİ VE TAKINTILI İNTERNET KULLANIMININ ARACI ROLÜ. Yönetim Bilimleri Dergisi, 24(60), 657-683. https://doi.org/10.35408/comuybd.1811522

 

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