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IMPACT OF LIVE STREAMING ON IMPULSE BUYING BEHAVIOR IN BANGLADESH

Yıl 2025, Cilt: 8 Sayı: 2, 150 - 171, 02.01.2026
https://izlik.org/JA62SM89WS

Öz

This study investigates impulsive purchasing in the rapidly growing live streaming commerce sector of Bangladesh. Motivated by the rising popularity of this trend, the study employs a comprehensive literature review to identify factors influencing consumer behavior, such as streaming proficiency, engagement, word-of-mouth, time limitations, product utility, and pricing. The S-O-R paradigm identifies perceived trust and perceived utility as cognitive and emotional states. The empirical study, employing 285 valid questionnaires, utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) for data analysis. The results show how important streamer knowledge, involvement, positive endorsements, product usefulness, and pricing are for building consumer trust and perceived value. Price promotions and customer engagement are key factors that affect people who make impulsive purchases. The study shows that there is a positive link between perceived trust, perceived value, and impulsive buying behavior. Suggestions include using streaming expertise, improving interaction, and changing pricing strategies to fit the budget of the target group. The research demonstrates that Facebook is the preferred platform for live broadcasting in Bangladesh. Limitations include demographic bias and a fixed viewpoint on consumer behavior, underscoring the need for diverse sampling, methodological improvements, and longitudinal studies in future research.

Kaynakça

  • Abdelsalam, S., Salim, N., Alias, R. A., & Husain, O. (2020). Understanding Online Impulse Buying Behavior in Social Commerce: A Systematic Literature Review. IEEE Access, 8(1), 89041–89058. https://doi.org/10.1109/access.2020.2993671
  • Adelaar, T., Chang, S., Lancendorfer, K. M., Lee, B., & Morimoto, M. (2003). Effects of Media Formats on Emotions and Impulse Buying Intent. Journal of Information Technology, 18(4), 247–266. https://doi.org/10.1080/0268396032000150799
  • Adhi Prasetio, Puspita Kencana Sari, & Dian Puteri Ramadhani. (2018). Electronic Word-of-Mouth (EWOM) Adoption Model for Information Security Awareness: A Case Study in University Students. Sustainable Collaboration in Business, Technology, Information and Innovation (SCBTII).
  • Ali, A., & Bhasin, J. (2019). Understanding Customer Repurchase Intention in E-commerce: Role of Perceived Price, Delivery Quality, and Perceived Value. Jindal Journal of Business Research, 8(2), 227868211985027. https://doi.org/10.1177/2278682119850275
  • Ang, T., Wei, S., & Anaza, N. A. (2018). Livestreaming Vs pre-recorded: How Social Viewing Strategies Impact Consumers’ Viewing Experiences and Behavioral Intentions. European Journal of Marketing, 52(9/10), 2075–2104. https://doi.org/10.1108/ejm-09-2017-0576
  • Badgaiyan, A. J., & Verma, A. (2015). Does urge to buy impulsively differ from impulsive buying behaviour? Assessing the impact of situational factors. Journal of Retailing and Consumer Services, 22, 145–157. https://doi.org/10.1016/j.jretconser.2014.10.002
  • Belk, R. W. (1974). An Exploratory Assessment of Situational Effects in Buyer Behavior. Journal of Marketing Research, 11(2), 156–163. https://doi.org/10.1177/002224377401100206
  • Berne-Manero, C., & Marzo-Navarro, M. (2020). Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability. Sustainability, 12(11), 4392. MDPI. https://doi.org/10.3390/su12114392
  • Cai, J., & Wohn, D. Y. (2019). Live Streaming Commerce: Uses and Gratifications Approach to Understanding Consumers’ Motivations. Proceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.307
  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. https://doi.org/10.1037/h0046016
  • Chan, T. K. H., Cheung, C. M. K., & Lee, Z. W. Y. (2017). The State of Online impulse-buying research: a Literature Analysis. Information & Management, 54(2), 204–217. https://doi.org/10.1016/j.im.2016.06.001
  • Chen, C.-C., & Lin, Y.-C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293–303.
  • Chen, C.-C., & Yao, J.-Y. (2018). What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model. Telematics and Informatics, 35(5), 1249–1262. https://doi.org/10.1016/j.tele.2018.02.007
  • Chung, S., & Cho, H. (2017). Fostering Parasocial Relationships with Celebrities on Social Media: Implications for Celebrity Endorsement. Psychology & Marketing, 34(4), 481–495.
  • Cui, Q., & Li, Y. (2015). An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries. Applied Energy, 141, 209–217. https://doi.org/10.1016/j.apenergy.2014.12.040
  • De Jong, A., De Ruyter, K., & Lemmink, J. (2004). Antecedents and Consequences of the Service Climate in Boundary-Spanning Self-Managing Service Teams. Journal of Marketing, 68(2), 18–35. https://doi.org/10.1509/jmkg.68.2.18.27790
  • De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing Through Instagram Influencers: The Impact of Number of Followers and Product Divergence on Brand Attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035
  • Ding, S. (2023). Research on the Influence of Promotion Types and Scarcity on Consumers’ Purchase Intention in The Context of E-commerce Live Broadcasting. Frontiers in Business, Economics and Management, 8(1), 164–171. https://doi.org/10.54097/fbem.v8i1.6060
  • Donovan, R., & Rossiter, J. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3), 283–294. https://doi.org/10.1016/0022-4359(94)90037-x eCommerce Market Bangladesh - Data & Trends | ECDB.com. (n.d.). Ecommercedb.com. https://ecommercedb.com/markets/bd/all
  • Falk, R., & Miller, N. (1992). A primer for soft modeling. In The University of Akron Press: Akron, OH.
  • Fang, Y.-H. (2014). Beyond the Credibility of Electronic Word of Mouth: Exploring eWOM Adoption on Social Networking Sites from Affective and Curiosity Perspectives. International Journal of Electronic Commerce, 18(3), 67–102. https://doi.org/10.2753/jec1086-4415180303
  • Fiore, A. M., & Kim, J. (2007). An integrative framework capturing experiential and utilitarian shopping experience. International Journal of Retail & Distribution Management, 35(6), 421–442. https://doi.org/10.1108/09590550710750313
  • Fornell, C., & Larcker, D. F. (1981a). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fornell, C., & Larcker, D. F. (1981b). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46(1-2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
  • HONG, W., THONG, J. Y. L., & TAM, K. Y. (2004). The Effects of Information Format and Shopping Task on Consumers’ Online Shopping Behavior: A Cognitive Fit Perspective. Journal of Management Information Systems, 21(3), 149–184. https://doi.org/10.1080/07421222.2004.11045812
  • Hsin Chang, H., & Wen Chen, S. (2008). The impact of online store environment cues on purchase intention. Online Information Review, 32(6), 818–841. https://doi.org/10.1108/14684520810923953
  • Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019–1041. https://doi.org/10.1108/intr-03-2019-0082
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Bangladeş’te Canlı Yayınların Dürtüsel Satın Alma Davranışı Üzerindeki Etkisi

Yıl 2025, Cilt: 8 Sayı: 2, 150 - 171, 02.01.2026
https://izlik.org/JA62SM89WS

Öz

Bu çalışma, Bangladeş’te hızla büyüyen canlı yayın ticareti sektöründe dürtüsel satın alma davranışını araştırmaktadır. Bu trendin artan popülaritesinden hareketle, çalışma tüketici davranışını etkileyen faktörleri belirlemek için kapsamlı bir literatür taraması yapmaktadır. Bu faktörler arasında yayıncı yeterliliği, etkileşim, ağızdan ağıza iletişim, zaman kısıtlamaları, ürün faydası ve fiyatlandırma yer almaktadır. S-O-R paradigması, algılanan güven ve algılanan faydayı bilişsel ve duygusal durumlar olarak tanımlamaktadır.

285 geçerli anketin kullanıldığı ampirik çalışma, veri analizinde Kısmi En Küçük Kareler Yapısal Eşitlik Modellemesi’ni (PLS-SEM) uygulamaktadır. Sonuçlar, yayıncı bilgisi, katılım, olumlu tavsiyeler, ürün faydası ve fiyatlandırmanın tüketici güveni ve algılanan değeri oluşturmada ne kadar önemli olduğunu göstermektedir. Fiyat promosyonları ve müşteri etkileşimi, dürtüsel satın alma davranışını etkileyen kilit faktörlerdir.

Çalışma, algılanan güven, algılanan değer ve dürtüsel satın alma davranışı arasında pozitif bir ilişki olduğunu ortaya koymaktadır. Öneriler arasında yayıncılık uzmanlığının artırılması, etkileşimin güçlendirilmesi ve hedef grubun bütçesine uygun fiyatlandırma stratejilerinin düzenlenmesi yer almaktadır. Araştırma, Bangladeş’te canlı yayınlar için en çok tercih edilen platformun Facebook olduğunu göstermektedir.

Sınırlılıklar arasında demografik yanlılık ve tüketici davranışına ilişkin sabit bir bakış açısı yer almakta olup, gelecekteki araştırmalarda daha çeşitli örneklem, metodolojik iyileştirmeler ve uzun dönemli çalışmaların gerekliliği vurgulanmaktadır.

Kaynakça

  • Abdelsalam, S., Salim, N., Alias, R. A., & Husain, O. (2020). Understanding Online Impulse Buying Behavior in Social Commerce: A Systematic Literature Review. IEEE Access, 8(1), 89041–89058. https://doi.org/10.1109/access.2020.2993671
  • Adelaar, T., Chang, S., Lancendorfer, K. M., Lee, B., & Morimoto, M. (2003). Effects of Media Formats on Emotions and Impulse Buying Intent. Journal of Information Technology, 18(4), 247–266. https://doi.org/10.1080/0268396032000150799
  • Adhi Prasetio, Puspita Kencana Sari, & Dian Puteri Ramadhani. (2018). Electronic Word-of-Mouth (EWOM) Adoption Model for Information Security Awareness: A Case Study in University Students. Sustainable Collaboration in Business, Technology, Information and Innovation (SCBTII).
  • Ali, A., & Bhasin, J. (2019). Understanding Customer Repurchase Intention in E-commerce: Role of Perceived Price, Delivery Quality, and Perceived Value. Jindal Journal of Business Research, 8(2), 227868211985027. https://doi.org/10.1177/2278682119850275
  • Ang, T., Wei, S., & Anaza, N. A. (2018). Livestreaming Vs pre-recorded: How Social Viewing Strategies Impact Consumers’ Viewing Experiences and Behavioral Intentions. European Journal of Marketing, 52(9/10), 2075–2104. https://doi.org/10.1108/ejm-09-2017-0576
  • Badgaiyan, A. J., & Verma, A. (2015). Does urge to buy impulsively differ from impulsive buying behaviour? Assessing the impact of situational factors. Journal of Retailing and Consumer Services, 22, 145–157. https://doi.org/10.1016/j.jretconser.2014.10.002
  • Belk, R. W. (1974). An Exploratory Assessment of Situational Effects in Buyer Behavior. Journal of Marketing Research, 11(2), 156–163. https://doi.org/10.1177/002224377401100206
  • Berne-Manero, C., & Marzo-Navarro, M. (2020). Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability. Sustainability, 12(11), 4392. MDPI. https://doi.org/10.3390/su12114392
  • Cai, J., & Wohn, D. Y. (2019). Live Streaming Commerce: Uses and Gratifications Approach to Understanding Consumers’ Motivations. Proceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.307
  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. https://doi.org/10.1037/h0046016
  • Chan, T. K. H., Cheung, C. M. K., & Lee, Z. W. Y. (2017). The State of Online impulse-buying research: a Literature Analysis. Information & Management, 54(2), 204–217. https://doi.org/10.1016/j.im.2016.06.001
  • Chen, C.-C., & Lin, Y.-C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293–303.
  • Chen, C.-C., & Yao, J.-Y. (2018). What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model. Telematics and Informatics, 35(5), 1249–1262. https://doi.org/10.1016/j.tele.2018.02.007
  • Chung, S., & Cho, H. (2017). Fostering Parasocial Relationships with Celebrities on Social Media: Implications for Celebrity Endorsement. Psychology & Marketing, 34(4), 481–495.
  • Cui, Q., & Li, Y. (2015). An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries. Applied Energy, 141, 209–217. https://doi.org/10.1016/j.apenergy.2014.12.040
  • De Jong, A., De Ruyter, K., & Lemmink, J. (2004). Antecedents and Consequences of the Service Climate in Boundary-Spanning Self-Managing Service Teams. Journal of Marketing, 68(2), 18–35. https://doi.org/10.1509/jmkg.68.2.18.27790
  • De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing Through Instagram Influencers: The Impact of Number of Followers and Product Divergence on Brand Attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035
  • Ding, S. (2023). Research on the Influence of Promotion Types and Scarcity on Consumers’ Purchase Intention in The Context of E-commerce Live Broadcasting. Frontiers in Business, Economics and Management, 8(1), 164–171. https://doi.org/10.54097/fbem.v8i1.6060
  • Donovan, R., & Rossiter, J. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3), 283–294. https://doi.org/10.1016/0022-4359(94)90037-x eCommerce Market Bangladesh - Data & Trends | ECDB.com. (n.d.). Ecommercedb.com. https://ecommercedb.com/markets/bd/all
  • Falk, R., & Miller, N. (1992). A primer for soft modeling. In The University of Akron Press: Akron, OH.
  • Fang, Y.-H. (2014). Beyond the Credibility of Electronic Word of Mouth: Exploring eWOM Adoption on Social Networking Sites from Affective and Curiosity Perspectives. International Journal of Electronic Commerce, 18(3), 67–102. https://doi.org/10.2753/jec1086-4415180303
  • Fiore, A. M., & Kim, J. (2007). An integrative framework capturing experiential and utilitarian shopping experience. International Journal of Retail & Distribution Management, 35(6), 421–442. https://doi.org/10.1108/09590550710750313
  • Fornell, C., & Larcker, D. F. (1981a). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fornell, C., & Larcker, D. F. (1981b). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46(1-2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
  • HONG, W., THONG, J. Y. L., & TAM, K. Y. (2004). The Effects of Information Format and Shopping Task on Consumers’ Online Shopping Behavior: A Cognitive Fit Perspective. Journal of Management Information Systems, 21(3), 149–184. https://doi.org/10.1080/07421222.2004.11045812
  • Hsin Chang, H., & Wen Chen, S. (2008). The impact of online store environment cues on purchase intention. Online Information Review, 32(6), 818–841. https://doi.org/10.1108/14684520810923953
  • Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019–1041. https://doi.org/10.1108/intr-03-2019-0082
  • Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior, 75(75), 594–606. https://doi.org/10.1016/j.chb.2017.06.006
  • Huang, W.-T., & Chien, C.-Y. (2011). Consumer Behavior Analysis with Fruit Group-Buying. International Journal of Intelligent Technologies and Applied Statistics, 4(1), 95–107. https://doi.org/10.6148/ijitas.2011.04.01.06
  • Huang, Y., & Suo, L. (2021). Factors Affecting Chinese Consumers’ Impulse Buying Decision of Live Streaming E-Commerce. Asian Social Science, 17(5), 16. https://doi.org/10.5539/ass.v17n5p16
  • Jamal, A., & Sharifuddin, J. (2015). Perceived value and perceived usefulness of halal labeling: The role of religion and culture. Journal of Business Research, 68(5), 933–941. https://doi.org/10.1016/j.jbusres.2014.09.020
  • Jung Chang, H., Yan, R.-N., & Eckman, M. (2014). Moderating effects of situational characteristics on impulse buying. International Journal of Retail & Distribution Management, 42(4), 298–314. https://doi.org/10.1108/ijrdm-04-2013-0074
  • Kamboj, S., Sarmah, B., Gupta, S., & Dwivedi, Y. (2018). Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response. International Journal of Information Management, 39, 169–185. https://doi.org/10.1016/j.ijinfomgt.2017.12.001
  • Kang, K., Lu, J., Guo, L., & Li, W. (2020). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251. https://doi.org/10.1016/j.ijinfomgt.2020.102251
  • Kim, A. J., & Johnson, K. K. P. (2016). Power of Consumers Using Social media: Examining the Influences of brand-related user-generated Content on Facebook. Computers in Human Behavior, 58(0747-5632), 98–108. https://doi.org/10.1016/j.chb.2015.12.047
  • Lee, C.-H., & Chen, C.-W. (2021). Impulse Buying Behaviors in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework. Information, 12(6), 241. https://doi.org/10.3390/info12060241
  • Li, D., Zhang, G., Xu, Z., Lan, Y., Shi, Y., Liang, Z., & Chen, H. (2018). Modelling the Roles of Cewebrity Trust and Platform Trust in Consumers’ Propensity of Live-Streaming: An Extended TAM Method. CMC, 55(1), 137–150. https://doi.org/10.3970/cmc.2018.055.137
  • Li, G., Zhang, R., & Wang, C. (2014). The Role of Product Originality, Usefulness and Motivated Consumer Innovativeness in New Product Adoption Intentions. Journal of Product Innovation Management, 32(2), 214–223. https://doi.org/10.1111/jpim.12169
  • Li, Y., Li, X., & Cai, J. (2021). How attachment affects user stickiness on live streaming platforms: A socio-technical approach perspective. Journal of Retailing and Consumer Services, 60, 102478. https://doi.org/10.1016/j.jretconser.2021.102478
  • Lin, C. A. (2004). Webcasting Adoption: Technology Fluidity,-User 'Innovativeness, and Media Substitution. Journal of Broadcasting & Electronic Media, 48(3), 157–178. https://doi.org/10.1207/s15506878jobem4803_6
  • Mencarelli, R., Rivière, A., & Lombart, C. (2021). Do myriad e-channels always create value for customers? A dynamic analysis of the perceived value of a digital information product during the usage phase. Journal of Retailing and Consumer Services, 63, 102674. https://doi.org/10.1016/j.jretconser.2021.102674
  • Ming, J., Jianqiu, Z., Bilal, M., Akram, U., & Fan, M. (2021). How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory. International Journal of Web Information Systems, 17(4), 300–320. https://doi.org/10.1108/ijwis-02-2021-0012
  • Mohan, G., Sivakumaran, B., & Sharma, P. (2013). Impact of store environment on impulse buying behavior. European Journal of Marketing, 47(10), 1711–1732. https://doi.org/10.1108/ejm-03-2011-0110
  • Moldovan, S., Goldenberg, J., & Chattopadhyay, A. (2011). The different roles of product originality and usefulness in generating word-of-mouth. International Journal of Research in Marketing, 28(2), 109–119. https://doi.org/10.1016/j.ijresmar.2010.11.003
  • Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The Influence of Website Characteristics on a Consumer’s Urge to Buy Impulsively. Information Systems Research, 20(1), 60–78. https://doi.org/10.1287/isre.1070.0157
  • Peng, L., Zhang, W., Wang, X., & Liang, S. (2019). Moderating effects of time pressure on the relationship between perceived value and purchase intention in social E-commerce sales promotion: Considering the impact of product involvement. Information & Management, 56(2), 317–328. https://doi.org/10.1016/j.im.2018.11.007
  • Piri, Z., & Lotfizadeh, F. (2015). Investigation of the Influence of Perceived Quality, Price and Risk on Perceived Product Value for Mobile Consumers. Asian Social Science, 12(1), 103. https://doi.org/10.5539/ass.v12n1p103
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • Raed, H., Majed Altaher, A., Barnat, S., Ahmad, H., Halim, M., Hammouri, Q., & Rateb, S. (2023). International Journal of Data and Network Science 7 (2023) ***-*** International Journal of Data and Network Science The effect of groups’ reference, usefulness perception, and products quality on intention to buy and online shopping decision. Canada. https://doi.org/10.5267/j.ijdns.2023.4.002
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  • Su, X. (2019). An Empirical Study on the Influencing Factors of E-Commerce Live Streaming. 2019 International Conference on Economic Management and Model Engineering (ICEMME). https://doi.org/10.1109/icemme49371.2019.00103
  • Wang, F.-J., Hsiao, C.-H., Shih, W.-H., & Chiu, W. (2023). Impacts of Price and Quality Perceptions on Individuals’ Intention to Participate in Marathon Events: Mediating Role of Perceived Value. 13(2). https://doi.org/10.1177/21582440231181431
  • Wongkitrungrueng, A., Dehouche, N., & Assarut, N. (2020). Live streaming commerce from the sellers’ perspective: implications for online relationship marketing. Journal of Marketing Management, 36(5-6), 488–518. https://www.tandfonline.com/doi/abs/10.1080/0267257X.2020.1748895
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  • Xu, P., Cui, B., & Lyu, B. (2022). Influence of Streamer’s Social Capital on Purchase Intention in Live Streaming E-Commerce. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.748172
  • Xu, X., Wu, J. H., & Qi, L. (2020). What Drives Consumer Shopping Behavior in Live Streaming Commerce. Journal of Electronic Commerce Research, 21(3), 144.
  • Yang, J., Cao, C., Ye, C., & Shi, Y. (2022). Effects of Interface Design and Live Atmosphere on Consumers’ Impulse-Buying Behaviour from the Perspective of Human–Computer Interaction. Sustainability, 14(12), 7110. https://doi.org/10.3390/su14127110
  • Yang, Y. (2021). Research on the Impact of Live Video Streaming on Customers’ Consumption Behavior and Intention. Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020). https://doi.org/10.2991/aebmr.k.210210.048
  • Zaim Shahrel, M., Mutalib, S., & Abdul-Rahman, S. (2021a). PriceCop – Price Monitor and Prediction Using Linear Regression and LSVM-ABC Methods for E-commerce Platform. International Journal of Information Engineering and Electronic Business, 13(1), 1–14. https://doi.org/10.5815/ijieeb.2021.01.01
  • Zaim Shahrel, M., Mutalib, S., & Abdul-Rahman, S. (2021b). PriceCop – Price Monitor and Prediction Using Linear Regression and LSVM-ABC Methods for E-commerce Platform. International Journal of Information Engineering and Electronic Business, 13(1), 1–14. https://doi.org/10.5815/ijieeb.2021.01.01
  • Zalloum, L., Alghadeer, H., & Nusairat, N. (2019). The Effect of Using Mobile Banking Services Applications on Electronic Word of Mouth: The Mediating Role of Perceived Trust. International Business Research, 12(9), 62. https://doi.org/10.5539/ibr.v12n9p62
  • Zhang, L., Xie, J., & Liu, K. (2016). An Empirical Study on Factors Influencing E-commerce in Rural China. International Journal of U- and E- Service, Science and Technology, 9(2), 295–308. https://doi.org/10.14257/ijunesst.2016.9.2.29
  • Zhang, Z., Zhang, N., & Wang, J. (2022). The Influencing Factors on Impulse Buying Behavior of Consumers under the Mode of Hunger Marketing in Live Commerce. Sustainability, 14(4), 2122. https://doi.org/10.3390/su14042122
Toplam 65 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Tüketici Davranışı
Bölüm Araştırma Makalesi
Yazarlar

Rokaiya Akter Jemy Bu kişi benim 0009-0004-1047-5998

Md Mohiuddin 0009-0009-9901-5563

Tanvir Ahmed Bu kişi benim 0009-0005-4896-003X

Gönderilme Tarihi 29 Ekim 2025
Kabul Tarihi 16 Aralık 2025
Yayımlanma Tarihi 2 Ocak 2026
DOI https://doi.org/10.46238/jobda.1812568
IZ https://izlik.org/JA62SM89WS
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Jemy, R. A., Mohiuddin, M., & Ahmed, T. (2026). IMPACT OF LIVE STREAMING ON IMPULSE BUYING BEHAVIOR IN BANGLADESH. Journal of Business in The Digital Age, 8(2), 150-171. https://doi.org/10.46238/jobda.1812568

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