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The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior

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  • Kimiagari, Salman
  • Asadi Malafe, Neda Sharifi

Abstract

Based on the impulse purchase decision-making process, the stimulus-organism-response framework, and technology acceptance model, this study investigated the role of cognitive and affective responses in the relationship between internal and external stimuli and social-media-based impulse buying behavior. We conducted an online survey and applied partial least squares structural equation modeling for data analysis and found that navigability, price attribute, trust propensity, and self-confidence are direct predictors of online impulse buying. Variety of selection and quality of information had indirect effects on the same through utilitarian browsing, while quality of information, navigability, and price attribute affected it through hedonic browsing. Trust propensity and self-confidence moderated the relation between utilitarian browsing and online impulse buying, while self-confidence moderated the hedonic browsing effect. Furthermore, utilitarian browsing affected hedonic browsing and online impulse buying. Thus, online merchants should control both external and internal stimuli to boost impulse buying through social media platforms.

Suggested Citation

  • Kimiagari, Salman & Asadi Malafe, Neda Sharifi, 2021. "The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:joreco:v:61:y:2021:i:c:s0969698921001338
    DOI: 10.1016/j.jretconser.2021.102567
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    as
    1. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    2. Yu-Qian Zhu & Dinna Amelina & David C. Yen, 2020. "Celebrity Endorsement and Impulsive Buying Intentions in Social Commerce - The Case of Instagram in Indonesia: Celebrity Endorsement," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 18(1), pages 1-17, January.
    3. Arora, Anuja & Bansal, Shivam & Kandpal, Chandrashekhar & Aswani, Reema & Dwivedi, Yogesh, 2019. "Measuring social media influencer index- insights from facebook, Twitter and Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 86-101.
    4. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    5. Elizabeth Chinomona, 2019. "Modelling the Drivers of Impulsive Buying Behaviour: A Case of South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 11(1), pages 27-38.
    6. Vieira, Valter Afonso, 2013. "Stimuli–organism-response framework: A meta-analytic review in the store environment," Journal of Business Research, Elsevier, vol. 66(9), pages 1420-1426.
    7. Harper A. Roehm Jr. & Michelle L. Roehm, 2005. "Revisiting the Effect of Positive Mood on Variety Seeking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 330-336, September.
    8. Sokolova, Karina & Kefi, Hajer, 2020. "Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    9. Bigne, Enrique & Chatzipanagiotou, Kalliopi & Ruiz, Carla, 2020. "Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited," Journal of Business Research, Elsevier, vol. 115(C), pages 403-416.
    10. Mei-Teh Goi & Vigneswari Kalidas & Norzita Yunus, 2018. "Mediating roles of emotion and experience in the stimulus-organism-response framework in higher education institutions," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 28(1), pages 90-112, January.
    11. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    12. V.V. Ravi Kumar & Anurag Lall & Tanmay Mane, 2017. "Extending the TAM Model: Intention of Management Students to Use Mobile Banking: Evidence from India," Global Business Review, International Management Institute, vol. 18(1), pages 238-249, February.
    13. Sofi, Shakeel Ahmad & Najar, Shabir Ahmad, 2018. "Impact Of Personality Influencers On Psychological Paradigms: An Empirical-Discourse Of Big Five Framework And Impulsive Buying Behaviour," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(2), pages 71-81.
    14. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    15. Hung‐Hao Chang & Chad D. Meyerhoefer, 2021. "COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 448-465, March.
    16. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, September.
    17. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    18. Chi, Ting, 2018. "Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 274-284.
    19. Huang, Li-Ting, 2016. "Flow and social capital theory in online impulse buying," Journal of Business Research, Elsevier, vol. 69(6), pages 2277-2283.
    20. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    21. Žaneta Piligrimienė & Andželika Žukauskaitė & Hubert Korzilius & Jūratė Banytė & Aistė Dovalienė, 2020. "Internal and External Determinants of Consumer Engagement in Sustainable Consumption," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    22. Kim, Hyejeong & Niehm, Linda S., 2009. "The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 221-233.
    23. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2015. "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 37-52.
    24. D. Veena Parboteeah & Joseph S. Valacich & John D. Wells, 2009. "The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively," Information Systems Research, INFORMS, vol. 20(1), pages 60-78, March.
    25. Ozer, Leyla & Gultekin, Beyza, 2015. "Pre- and post-purchase stage in impulse buying: The role of mood and satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 71-76.
    26. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    27. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    28. Yael Steinhart & David Mazursky & Michael Kamins, 2013. "The process by which product availability triggers purchase," Marketing Letters, Springer, vol. 24(3), pages 217-228, September.
    29. Sharma, Piyush & Sivakumaran, Bharadhwaj & Marshall, Roger, 2010. "Impulse buying and variety seeking: A trait-correlates perspective," Journal of Business Research, Elsevier, vol. 63(3), pages 276-283, March.
    30. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    31. Shareef, Mahmud Akhter & Mukerji, Bhasker & Dwivedi, Yogesh K. & Rana, Nripendra P. & Islam, Rubina, 2019. "Social media marketing: Comparative effect of advertisement sources," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 58-69.
    32. Tsutomu Watanabe & Yuki Omori, 2020. "Online Consumption During the COVID-19 Crisis: Evidence from Japan," Working Papers on Central Bank Communication 023, University of Tokyo, Graduate School of Economics.
    33. Chia‐Lin Hsu & Kuo‐Chien Chang & Mu‐Chen Chen, 2012. "Flow Experience and Internet Shopping Behavior: Investigating the Moderating Effect of Consumer Characteristics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(3), pages 317-332, May.
    34. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
    35. Tsutomu Watanabe & Yuki Omori, 2020. "Online Consumption During the COVID-19 Crisis: Evidence from Japan," CARF F-Series CARF-F-487, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    36. Park, Eun Joo & Kim, Eun Young & Funches, Venessa Martin & Foxx, William, 2012. "Apparel product attributes, web browsing, and e-impulse buying on shopping websites," Journal of Business Research, Elsevier, vol. 65(11), pages 1583-1589.
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