A Qualitative Analysis to Research Consumers' Purchasing Intention from Online Shopping Platforms

Yıl 2024, , 666 - 694, 24.05.2024

Muhammed Fatih Cevher

https://doi.org/10.25295/fsecon.1441690

Cited By: 1

Öz

This article aims to examine in-depth the elements that affect consumers' intentions to purchase from online shopping platforms, as well as the underlying causes for these elements. One of the study's objectives is to examine in-depth the fundamental motivations and perceptions that direct consumers' purchasing intentions, as well as the emotions that are affected by them. The study method was chosen as qualitative analysis, and the sample included 25 participants who experienced online shopping. Descriptive content analysis was performed by analyzing the participant data with the MAXQDA analysis program. Nine distinct codes were discovered upon examination of the research outcomes. The acquired data, along with their analysis and figures, are presented separately. Following the investigation, a model was developed that illustrates the elements influencing consumers' intents to make purchases from online retailers as well as the underlying causes of these elements. Convenience and cost are the two amazing aspects that the model indicates have an impact on customers. It was determined that the time factor is the fundamental component for these factors. One of the study's findings is that consumers' ability to make comparisons is evaluated based on the time factor. Another finding is that it is supported in terms of price and convenience based on the opinions of other customers and the trust factor. While the literature generally focuses on quantitative research, this study examines consumers' online shopping motivations, perceptions, and emotions in depth. In this respect, the originality of the study is revealed. To businesses, it is recommended that consumers reduce their time costs and focus on the trust they can create in consumers by providing opportunities for comparison and feedback.

Anahtar Kelimeler

Consumer Behavior, Purchase Intention, Online Shopping, Online Shopping Platforms

Tüketicilerin Online Alışveriş Platformlarından Satın Alma Niyetlerine Yönelik Nitel Bir Araştırma

Öz

Çalışma online alışveriş platformlarından tüketicilerin satın alma niyetlerinin hangi faktörlerden etkilendiği ve bu faktörlerin altında yatan nedenleri derinlemesine analiz etmeyi amaçlamaktadır. Tüketicilerin satın alma niyetlerini yönlendiren temel motivasyon ve algıların yanı sıra etkilendikleri duyguların da kapsamlı şekilde araştırılması çalışmanın amaçlarındandır. Çalışma yöntemi nitel analiz olarak belirlenmiş, çalışma örneklemi için online alışveriş platformlarından alışveriş yapma konusunda deneyimli 25 katılımcıyla gerçekleştirilmiştir. Katılımcılardan elde edilen veriler MAXQDA analiz programı aracılığıyla incelenerek betimsel içerik analizi gerçekleştirilmiştir. Çalışma bulguları incelendiğinde 9 farklı koda ulaşılmıştır. Elde edilen veriler; analizleri ve şekilleriyle ayrı ayrı sunulmuştur. Analizler sonucunda tüketicilerin online alışveriş platformlarından satın alma niyetlerini etkileyen faktörler ve bu faktörlerin altında yatan nedenleri gösterebilmek adına bir model oluşturulmuştur. Model üzerinden; tüketicilerin etkilendiği fenomen faktörlerin kolaylık ve fiyat faktörleri olduğu; bu faktörlerin altında yatan faktörün ise zaman faktörü olduğu sonucuna ulaşılmıştır. Tüketicilerin kıyas yapabilmesi zaman faktörüne bağlı olarak incelenmekte ve diğer tüketicilerin geri bildirimi ile güven faktörüne bağlı olarak kolaylık ve fiyat konusunda desteklendiği de çalışmanın sonuçlarındandır. Literatür genellikle nicel araştırmalara odaklanırken, bu çalışma tüketicilerin online alışveriş motivasyonlarını, algılarını ve duygularını derinlemesine incelemektedir. Bu açıdan çalışmanın özgünlüğü ortaya koyulmaktadır. İşletmelere; tüketicilerin zaman maliyetini düşürmesi, kıyaslama ve geri bildirim yapabilme fırsatlarının sunulması ile tüketicide oluşturabilecekleri güven üzerine odaklanmaları tavsiye edilmektedir.

Anahtar Kelimeler

Tüketici Davranışı, Satın Alma Niyeti, Online Alışveriş, Online Alışveriş Platformları

Kaynakça

• Adibfar, A., Gulhare, S., Srinivasan, S. & Costin, A. (2022). Analysis and Modeling of Changes in Online Shopping Behavior Due to COVID-19 Pandemic: A Florida Case Study. Transport Policy, 126, 162-176. https://doi.org/10.1016/j.tranpol.2022.07.003
• Ahuja, M., Gupta, B. & Raman, P. (2003). An Empirical Investigation of Online Consumer Purchasing Behavior. Communications of the ACM, 46(12), 145-151. https://doi.org/10.1145/953460.953494
• Akarsu, Y. & Alacahan, N. D. (2018). Tüketicilerin Online Satın Alma Davranışlarını Etkileyen Faktörler: Gökçeada Örneği. Journal of Life Economics, 5(3), 77-92.
• Al Hamli, S. S. & Sobaih, A. E. E. (2023). Factors Influencing Consumer Behavior Towards Online Shopping in Saudi Arabia Amid Covid-19: Implications for E-Businesses Post Pandemic. Journal of Risk and Financial Management, 16(1), 36. https://doi.org/10.3390/jrfm16010036
• Al-Hattami, H. M., Abdullah, A. A. H., Al-Okaily, M., Al-Adwan, A. S., Al-Hakimi, M. A. & Haidar, F. T. (2023). Determinants of Interaction Intention to Purchase Online in Less Developed Countries: The Moderating Role of Technology Infrastructure. Cogent Social Sciences, 9(1), https://doi.org/10.1080/23311886.2023.2213918
• Amirtha, R., Sivakumar, V. J. & Hwang, Y. (2020). Influence of Perceived Risk Dimensions on E-Shopping Behavioural Intention Among Women-A Family Life Cycle Stage Perspective. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 320-355. doi:10.3390/jtaer16030022
• Ariffin, S. K., Mohan, T. & Goh, Y. N. (2018). Influence of Consumers’ Perceived Risk on Consumers’ Online Purchase Intention. Journal of Research in Interactive Marketing, 12(3), 309-327. https://doi.org/10.1108/JRIM-11-2017-0100
• Bajdor, P. (2021). Simulations of the Relationship Between the Experience Level of E-Commerce Customers and the Adopted Variables-Implications for Management in the Area of Online Shopping. Procedia Computer Science, 192, 2576-2585. https://doi.org/10.1016/j.procs.2021.09.027
• Baidoun, S. D. & Salem, M. Z. (2023). The Moderating Role of Perceived Trust and Perceived Value on Online Shopping Behavioral Intention of Palestinian Millennials During COVID-19. Competitiveness Review: An International Business Journal. https://doi.org/10.1108/CR-10-2022-0161
• Baltacı, A. (2019). Nitel Araştırma Süreci: Nitel Bir Araştırma Nasıl Yapılır? Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 5(2), 368-388. Doi: 10.31592/aeusbed.598299
• 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
• Bayır, T. (2020). B2c Online Alışveriş Sitelerinin Seçim Kriterlerinin AHP Yöntemi ile Belirlenmesi. Kesit Akademi Dergisi, 6(25), 641-653.
• Cavlak, E. (2012). Online Alışveriş Sitesi Tercihinde Etkili Olan Kriterlerin Belirlenmesine ve Önceliklendirilmesine Yönelik Bir Karar Modeli. Yayımlanmış Doktora Tezi, İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü.
• Chang, M. K., Cheung, W. & Lai, V. S. (2005). Literature Derived Reference Models for the Adoption of Online Shopping. Information & Management, 42(4), 543-559. https://doi.org/10.1016/j.im.2004.02.006
• Chang, S. H., Chih, W. H., Liou, D. K. & Yang, Y. T. (2016). The Mediation of Cognitive Attitude for Online Shopping. Information Technology & People, 29, 618-646. https://doi.org/10.1108/ITP-08-2014-0172
• Chen, Y., Yan, X., Fan, W. & Gordon, M. (2015). The Joint Moderating Role of Trust Propensity and Gender on Consumers’ Online Shopping Behavior. Computers in Human Behavior, 43, 272-283. https://doi.org/10.1016/j.chb.2014.10.020
• Chiu, C. M., Chang, C. C., Cheng, H. L. & Fang, Y. H. (2009). Determinants of Customer Repurchase Intention in Online Shopping. Online Information Review, 33(4), 761-784. https://doi.org/10.1108/14684520910985710
• Copeland, L. R., Bhaduri, G. & Huang, O. (2023). Understanding Chinese Gen Z and Their Online Shopping Intentions Through TAM. Asia Pacific Journal of Marketing and Logistics. 35(10), 2361-2376. https://doi.org/10.1108/APJML-03-2022-0241
• Coppola, D. (2021). E-Commerce Share of Total Retail Sales. Statista. https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/#statisticContainer (12.12.2023)
• Cuong, D. T. (2023). Determinants Affecting Online Shopping Consumers’ Satisfaction and Repurchase Intention: Evidence from Vietnam. Innovative Marketing, 19, 126-139. http://dx.doi.org/10.21511/im.19(1).2023.11
• Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly.
• Dogra, P. & Kaushal, A. (2023). Investigating Factors Affecting Trust and Purchase Intention Towards Online Websites: Structural Equation Modelling Approach. International Journal of Internet Marketing and Advertising, 18(1), 98-120. https://doi.org/10.1504/IJIMA.2023.128151
• Durmaz, Z. & Aksakal, E. (2023). Endüstri 4.0 Temelinde Online Alışveriş Sitelerinin Seçiminde Dikkate Alınacak Kriterlerin DEMATEL Yöntemi ile Değerlendirilmesi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 26(Özel Sayı), 1147-1155.
• Eren, T. & Gür, S. (2017). Selection of 3PL company for online shopping sites with AHP and TOPSIS method. Hitit University Journal of Social Sciences Institute, 10, 819-834.
• Erjavec, J. & Manfreda, A. (2022). Online Shopping Adoption During COVID-19 and Social Isolation: Extending the UTAUT Model with Herd Behavior. Journal of Retailing and Consumer Services, 65, 102867. https://doi.org/10.1016/j.jretconser.2021.102867
• Fishbein, M. & Ajzen, I. (1977). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.
• Gao, F. (2011). A Study of Online Purchase Intention: Based on the Perspective of Customer Trust. 2011 International Conference on Management and Service Science (1-4). IEEE. DOI: 10.1109/ICMSS.2011.5999000
• Gao, Y., Liang, H. & Sun, B. (2021). Dynamic Network Intelligent Hybrid Recommendation Algorithm and Its Application in Online Shopping Platform. Journal of Intelligent & Fuzzy Systems, 40(5), 9173-9185. DOI: 10.3233/JIFS-201579
• Gefen, D., Karahanna, E. & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 51-90.https://doi.org/10.2307/30036519
• Gizzi, M. C. & Rädiker, S. (Eds.). (2021). The Practice of Qualitative Data Analysis: Research Examples Using MAXQDA. BoD–Books on Demand.
• Grossoehme, D. H. (2014). Overview of Qualitative Research. Journal of Health Care Chaplaincy, 20(3), 109-122. doi: 10.1080/08854726.2014.925660
• Gulfraz, M. B., Sufyan, M., Mustak, M., Salminen, J. & Srivastava, D. K. (2022). Understanding The Impact of Online Customers’ Shopping Experience on Online Impulsive Buying: A Study on Two Leading E-Commerce Platforms. Journal of Retailing and Consumer Services, 68, 103000. https://doi.org/10.1016/j.jretconser.2022.103000
• Gupta, U. & Kumar, N. (2023). Analysing the Impact of Perceived Risk, Trust and Past Purchase Satisfaction on Repurchase Intentions in Case of Online Grocery Shopping in India. Global Business Review, https://doi.org/10.1177/09721509231178989
• Ha, S. & Stoel, L. (2009). Consumer E-Shopping Acceptance: Antecedents in a Technology Acceptance Model. Journal of Business Research, 62(5), 565-571. https://doi.org/10.1016/j.jbusres.2008.06.016
• Han, L., & Jin, Y. (2009, September). A review of technology acceptance model in the e-commerce environment. In 2009 International Conference on Management of e-Commerce and e-Government (pp. 28-31). IEEE. DOI: 10.1109/ICMeCG.2009.64
• Hagen, D., Spierings, B., Weltevreden, J., Risselada, A. & Atzema, O. (2024). What Drives Consumers to Use Local Online Retail Platforms? The Influence of Non-Place-Specific and Place-Specific Motives. Journal of Retailing and Consumer Services, 77, 103649. https://doi.org/10.1016/j.jretconser.2023.103649
• Hajli, M. N. (2014). A Study of the Impact of Social Media on Consumers. International Journal of Market Research, 56(3), 387-404. https://doi.org/10.2501/IJMR-2014-0
• Hsieh, M. T. & Tsao, W. C. (2014). Reducing Perceived Online Shopping Risk to Enhance Loyalty: A Website Quality Perspective. Journal of Risk Research, 17, 241-261. https://doi.org/10.1080/13669877.2013.794152
• Islam, S., Islam, M. F. & Zannat, N. E. (2023). Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis. SAGE Open, 13(3), DOI:10.1177/21582440231197495
• Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A. & Asadollahi, A. R. (2012). An Analysis of Factors Affecting on Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5), 81. http://dx.doi.org/10.5539/ijms.v4n5p81
• Jílková, P. & Králová, P. (2021). Digital Consumer Behaviour and Ecommerce Trends During the COVID-19 Crisis. International Advances in Economic Research, 27(1), 83-85. https://doi.org/10.1007/s11294-021-09817-4
• Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior: key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in psychology, 7, 206486. https://doi.org/10.3389/fpsyg.2016.01117
• Katta, R. M. R. & Patro, C. S. (2020). Consumers' Perceived Value in Internet Shopping: An Empirical Study. International Journal of Customer Relationship Marketing and Management (IJCRMM), 11(2), 17-36. DOI: 10.4018/IJCRMM.2020040102
• Khatoon, S., Anwar, I., Shamsi, M. A. & Chaudhary, A. (2023). Consumers' Behavioral Intention Toward Online Shopping in the Post‐COVID‐19 Period. International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.13001
• Kim, J. B. (2012). An Empirical Study on Consumer First Purchase Intention in Online Shopping: Integrating Initial Trust and TAM. Electronic Commerce Research, 12, 125-150. DOI 10.1007/s10660-012-9089-5
• Koch, J., Frommeyer, B. & Schewe, G. (2020). Online Shopping Motives During the COVID-19 Pandemic-Lessons from the Crisis. Sustainability, 12(24), 10247. https://doi.org/10.3390/su122410247
• Korgaonkar, P., Silverblatt, R. & Girard, T. (2006). Online Retailing, Product Classifications, and Consumer Preferences. Internet Research, 16(3), 267-288. https://doi.org/10.1108/10662240610673691
• Kumar, A. & Kashyap, A. K. (2022). Understanding the Factors Influencing Repurchase Intention in Online Shopping: A Metaanalytic Review. Vision. https://doi. org/10.1177/09722629221107957
• Kwahk, K. Y. & Ge, X. (2012, January). The Effects of Social Media on E-Commerce: A Perspective of Social Impact Theory. 2012 45th Hawaii International Conference on System Sciences (1814-1823). IEEE. DOI:10.1109/HICSS.2012.564
• Lazarus, D., Krishna, A. & Dhaka, S. (2014). Co-Creation Willingness Matrix and Capability Continuum for Classification and Scaling of Services. Journal of Global Marketing, 27, 213-225. https://doi.org/10.1080/08911762.2014.909551
• Lee, T. & Jun, J. (2007). Contextual Perceived Value? Investigating the Role of Contextual Marketing for Customer Relationship Management in a Mobile Commerce Context. Business Process Management Journal, 13(6), 798-814. https://doi.org/10.1108/14637150710834569
• Le Tan, T., Hieu, P. T., Van, N. T. T. & Hung, N. N. P. (2021). Research on Factors Affecting Customers' Shopping Behavior on E-Commerce Exchanges during the Covid-19 Pandemic. International Journal of Business, Management and Economics, 2(4), 251-269. https://doi.org/10.47747/ijbme.v2i4.440
• Lewins, A. & Silver, C. (2014). Using Software in Qualitative Research: A Step-By-Step Guide. Using Software in Qualitative Research, 1-384.
• Lim, W. M., & Ting, D. H. (2012). E-shopping: an Analysis of the Technology Acceptance Model. Modern Applied Science, 6(4), 49. http://dx.doi.org/10.5539/mas.v6n4p49
• Ling, K. C., Chai, L. T. & Piew, T. H. (2010). The Effects of Shopping Orientations, Online Trust and Prior Online Purchase Experience Toward Customers' Online Purchase Intention. International Business Research, 3(3), 63. DOI: 10.5539/ibr.v3n3p63
• Liu, Y., Li, Q., Edu, T., Jozsa, L. & Negricea, I. C. (2019). Mobile Shopping Platform Characteristics as Consumer Behavior Determinants. Asia Pacific Journal of Marketing and Logistics, 32(7), 1565-1587. https://doi.org/10.1108/APJML-05-2019-0308
• Mahapatra, S. & Sreekumar. (2012). A RIDIT Approach to Evaluate Factors Influencing Online Shopping Behaviour. International Journal of Internet Marketing and Advertising, 7(1), 83-99. https://doi.org/10.1504/IJIMA.2012.044936
• Malik, G. & Guptha, A. (2013). An Empirical Study on Behavioral Intent of Consumers in Online Shopping. Business Perspectives and Research, 2(1), 13-28. https://doi.org/10.1177/227853372013010
• McKechnie, S., Winklhofer, H., & Ennew, C. (2006). Applying the technology acceptance model to the online retailing of financial services. International Journal of Retail & Distribution Management, 34(4/5), 388-410. https://doi.org/10.1108/09590550610660297
• Meskaran, F., Ismail, Z. & Shanmugam, B. (2013). Online Purchase Intention: Effects of Trust and Security Perception. Australian Journal of Basic and Applied Sciences, 7(6), 307-315.
• Neger, M. & Uddin, B. (2020). Factors Affecting Consumers’ Internet Shopping Behavior During The COVID-19 Pandemic: Evidence from Bangladesh. Chinese Business Review, 19(3), 91-104. DOI:10.17265/1537-1506/2020.03.003
• Neslin, S. A. & Shankar, V. (2009). Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions. Journal of Interactive Marketing, 23(1), 70-81. https://doi.org/10.1016/j.intmar.2008.10.005
• Ömürbek, N. & Şimşek, A. (2014). Analitik Hiyerarşi Süreci ve Analitik Ağ Süreci Yöntemleri ile Online Alışveriş Site Seçimi. Journal of Management and Economics Research, 12(22), 306-327. https://doi.org/10.11611/JMER214
• Özbek, A. & Sırakaya, Ö. (2022). Türkiye’de Kullanılan E-Ticaret Platformlarının Performanslarının Karşılaştırılması. Kırıkkale Üniversitesi Sosyal Bilimler Dergisi, 12(2), 469-492.
• Pavlou, P. A. (2003). Integrating Trust and Risk with The Consumer Acceptance of Electronic Commerce: Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 69-103. https://doi.org/10.1080/10864415.2003.11044275
• Perea y Monsuwé, T., Dellaert, B. G. C. & de Ruyter, K. (2004). What Drives Consumers to Shop Online? A Literature Review. International Journal of Service Industry Management, 15(1), 102-121. https://doi.org/10.1108/09564230410523358
• Petcharat, T. & Leelasantitham, A. (2021). A Retentive Consumer Behavior Assessment Model of the Online Purchase Decision-Making Process. Heliyon, 7(10). https://doi.org/10.1016/j.heliyon.2021.e08169
• Phan Tan, L. & Le, T. H. (2023). The Influence of Perceived Price and Quality of Delivery on Online Repeat Purchase Intention: The Evidence from Vietnamese Purchasers. Cogent Business & Management, 10(1), 2173838. https://doi.org/10.1080/23311975.2023.2173838
• Pham, V. K., Nguyen, T. L., Do, T. T. H., Tang, M. H. & Thu Hoai, H. L. (2020). A Study on Switching Behavior Toward Online Shopping of Vietnamese Consumer during the Covid-19 Time. https://dx.doi.org/10.2139/ssrn.3651300
• Salisbury, W. D., Pearson, R. A., Pearson, A. W. & Miller, D. W. (2001). Perceived Security and World Wide Web Purchase Intentions. Industrial Management and Data Systems, 101(4), 165-177. https://doi.org/10.1108/02635570110390071
• Shawon S. S., Hasan M. A., Nayeem A. R. & Uddin M. B. (2018). Online Purchasing Behavior Among Bangladeshi Young Generation: Influencing Factors and Impact. Asian Business Review, 8(3), 125-130. https://doi.org/10.18034/abr.v8i3.163
• Shekhar, R. & Jaidev, U. P. (2020). Antecedents of Online Purchase Intention in the Context of Social Commerce. International Journal of Applied Management Science, 12(1), 68-95. https://doi.org/10.1504/IJAMS.2020.105296
• Shen, H., Namdarpour, F. & Lin, J. (2022). Investigation of Online Grocery Shopping and Delivery Preference Before, During, and After COVID-19. Transportation Research Interdisciplinary Perspectives, 14, 100580. https://doi.org/10.1016/j.trip.2022.100580
• Song, L., Mo, Z., Liu, J. & Fu, H. (2023). The Effect of Online Shopping Channel on Consumers’ Responses and the Moderating Role of Website Familiarity. Electronic Commerce Research, 1-21.
• Srivastava, A., Mukherjee, S., Datta, B. & Shankar, A. (2023). Impact of Perceived Value on The Online Purchase Intention of Base of The Pyramid Consumers. International Journal of Consumer Studies, 47(4), 1291-1314. https://doi.org/10.1111/ijcs.12907
• Stokes. (2014). The 6 Types of Online Buyers. https://www.entrepreneur.com/growing-a-business/the-6-types-of-online-buyers/231668 (09.01.2024)
• Suleman, D. & Zuniarti, I. (2019). Consumer Decisions Toward Fashion Product Shopping in Indonesia: The Effects of Attitude, Perception of Ease of Use, Usefulness, and Trust. Management Dynamics in the Knowledge Economy, 7(2), 133-146. DOI 10.25019/MDKE/7.2.01
• Sullivan, Y. W. & Kim, D. J. (2018). Assessing the Effects of Consumers’ Product Evaluations and Trust on Repurchase Intention in E-Commerce Environments. International Journal of Information Management, 39, 199-219. https://doi.org/10.1016/j.ijinfomgt.2017.12.008
• Sutton, J. & Austin, Z. (2015). Qualitative Research: Data Collection, Analysis, and Management. The Canadian Journal of Hospital Pharmacy, 68(3), 226. Doi: 10.4212/cjhp.v68i3.1456
• Tanveer, A., Zeng, S., Irfan, M. & Peng, R. (2021). Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior. Energies, 14(16), 5008. https://doi.org/10.3390/en14165008
• Türk, A. (2023). Digital Leadership Role in Developing Business Strategy Suitable for Digital Transformation. Frontiers in Psychology, 13, 1066180. https://doi.org/10.3389/fpsyg.2022.1066180
• Tyrväinen, O. & Karjaluoto, H. (2022). Online Grocery Shopping Before and During the COVID-19 Pandemic: A Meta-Analytical Review. Telematics and Informatics, 71, 101839. https://doi.org/10.1016/j.tele.2022.101839
• Udiono, T. (2021). Perceptions of Using Augmented Reality Features on Online Shopping Fashion Platforms Based on Technology Acceptance Model. 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS) (1-5). IEEE. DOI: 10.1109/ICORIS52787.2021.9649444
• Utz, S., Kerkhof, P. & Van Den Bos, J. (2012). Consumers Rule: How Consumer Reviews Influence Perceived Trustworthiness of Online Stores. Electronic Commerce Research and Applications, 11(1), 49-58. https://doi.org/10.1016/j.elerap.2011.07.010
• Uzun, H. & Poturak, M. (2014). Factors Affecting Online Shopping Behavior of Consumers. European Journal of Social and Human Sciences, 3, 163-170.
• Van der Heijden, H., Verhagen, T. & Creemers, M. (2003). Understanding Online Purchase Intentions: Contributions from Technology and Trust Perspectives. European Journal of Information Systems, 12(1), 41-48. https://doi.org/10.1057/palgrave.ejis.3000445
• Venkatesh, V. & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
• Wang, Y., Qi, M., Parsons, L. & Tsai, F. S. (2021). Service Marketing in Online Shopping Platform: Psychological and Behavioral Dimensions. Frontiers in Psychology, 12, 759445. https://doi.org/10.3389/fpsyg.2021.759445
• Wang, Y., Yu, B. & Chen, J. (2023). Factors Affecting Customer Intention to Return in Online Shopping: The Roles of Expectation Disconfirmation and Post-Purchase Dissonance. Electronic Commerce Research, 1-35. https://doi.org/10.1007/s10660-023-09769-3
• Wen, Z., Lin, W. & Liu, H. (2023). Machine-Learning-Based Approach for Anonymous Online Customer Purchase Intentions Using Clickstream Data. Systems, 11(5), 255. https://doi.org/10.3390/systems11050255
• Wu, M. Y. & Liao, S. C. (2011). Consumers’ Behavioral Intention to Use Internet Shopping: An Integrated Model of TAM and TRA. Journal of Statistics and Management Systems, 14(2), 375-392. https://doi.org/10.1080/09720510.2011.10701561
• Wu, X., Liao, H. & Tang, M. (2024). Product Ranking Through Fusing the Wisdom of Consumers Extracted from Online Reviews on Multiple Platforms. Knowledge-Based Systems, 284, 111275. https://doi.org/10.1016/j.knosys.2023.111275
• Yap, Y. Y., Tan, S. H., Tan, S. K. & Choon, S. W. (2023). Online Grocery Shopping Intention: Elderly's Perspective in Malaysia. Heliyon, 9(10). 1-23. https://doi.org/10.1016/j.heliyon.2023.e20827
• Zhang, W., Zhang, W. & Daim, T. U. (2023). Investigating Consumer Purchase Intention in Online Social Media Marketing: A Case Study of TikTok. Technology in Society, 74, 102289. https://doi.org/10.1016/j.techsoc.2023.102289
• Zheng, X., Lee, M. & Cheung, C. M. (2017). Examining E-Loyalty Towards Online Shopping Platforms: The Role of Coupon Proneness and Value Consciousness. Internet Research, 27(3), 709-726. https://doi.org/10.1108/IntR-01-2016-0002
• https://www.eticaret.gov.tr/haberler/10094/detay Erişim Tarihi: 28.03.2024