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Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry

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  • Yeo, Sook Fern
  • Tan, Cheng Ling
  • Kumar, Ajay
  • Tan, Kim Hua
  • Wong, Jee Kit

Abstract

Over the last couple of decades, technological advancements have accelerated exponentially, especially in the realm of online social networking networks. The artificial intelligence (AI)-powered digital technologies applications continue to emerge to enhance and improve novel ways of communication on social media platforms, particularly Instagram. Indeed, this has caused a change in the behavioral and social customer journey, where customers need to embrace a digital experience adoption. The AI applications primarily aim to study the shoppers browsing trend to draw new clients and expand businesses. Even the fashion industry has tapped into Instagram's business benefits in this fast-paced and competitive industry. With this quick and compelling way to capture shoppers’ attention towards fashion products, the purchase decision may differ between e-shoppers and conventional shoppers. AI seems to be extremely promising and has the potential to be a game changer for Instagram users, advertisers, and influencers. This study applies the Engel-Kollat-Blackwell (EKB) theory to investigate the effects of AI-based digital technology experiences on Instagrammers’ fashion apparel purchase decisions - perceived eWOM, perceived emotional value, perceived quality, perceived risk and perceived price. Based on data collected from Instagram users, the framework of this study was evaluated using structural equation modelling (SEM). Semi-structured in-depth interviews were also conducted as part of the research to get a more in-depth understanding of the profiles and behaviors of Instagram users. Our findings from both methodologies confirm that perceived emotional value, perceived quality, and perceived eWOM revealed a statistically significant and positive influence on Instagrammers’ purchase decisions for fashion apparel. Meanwhile, the importance performance matrix analysis (IPMA) identified perceived emotional value as the most important factor for Instagrammers, but the highest performance was perceived quality. This research has important implications for Malaysian online retailers and shoppers to adapt to the fast-changing digital transformation. Assuredly, this study makes a noteworthy contribution to attitudinal research on social media commerce within the fashion industry.

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  • Yeo, Sook Fern & Tan, Cheng Ling & Kumar, Ajay & Tan, Kim Hua & Wong, Jee Kit, 2022. "Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:tefoso:v:177:y:2022:i:c:s004016252200083x
    DOI: 10.1016/j.techfore.2022.121551
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    as
    1. Kazancoglu, Yigit & Sezer, Muruvvet Deniz & Ozkan-Ozen, Yesim Deniz & Mangla, Sachin Kumar & Kumar, Ajay, 2021. "Industry 4.0 impacts on responsible environmental and societal management in the family business," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Li, Chia-Ying, 2019. "How social commerce constructs influence customers' social shopping intention? An empirical study of a social commerce website," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 282-294.
    3. Lena Steinhoff & Denni Arli & Scott Weaven & Irina V. Kozlenkova, 2019. "Online relationship marketing," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 369-393, May.
    4. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    5. Gupta, Shivam & Justy, Théo & Kamboj, Shampy & Kumar, Ajay & Kristoffersen, Eivind, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Park, Hyejune & Kim, Youn-Kyung, 2014. "The role of social network websites in the consumer–brand relationship," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 460-467.
    7. Chayada Apiraksattayakul & Savvas Papagiannidis & Eleftherios Alamanos, 2017. "Shopping via Instagram: The Influence of Perceptions of Value, Benefits and Risks on Purchase Intentions," International Journal of Online Marketing (IJOM), IGI Global, vol. 7(4), pages 1-20, October.
    8. Ajay Kumar & Ram D. Gopal & Ravi Shankar & Kim Hua Tan, 2022. "Fraudulent review detection model focusing on emotional expressions and explicit aspects : investigating the potential of feature engineering," Post-Print hal-03630420, HAL.
    9. Qian He & Hongjian Qu, 2018. "The Impact of Advertising Appeals on Purchase Intention in Social Media Environment¡ª¡ªAnalysis of Intermediary Effect Based on Brand Attitude," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 7(2), pages 17-28, October.
    10. Zhan, Yuanzhu & Chung, Leanne & Lim, Ming K. & Ye, Fei & Kumar, Ajay & Tan, Kim Hua, 2021. "The impact of sustainability on supplier selection: A behavioural study," International Journal of Production Economics, Elsevier, vol. 236(C).
    11. Xiaolin Lin & Mauricio Featherman & Stoney L. Brooks & Nick Hajli, 2019. "Exploring Gender Differences in Online Consumer Purchase Decision Making: An Online Product Presentation Perspective," Information Systems Frontiers, Springer, vol. 21(5), pages 1187-1201, October.
    12. Sengupta, Pooja & Biswas, Baidyanath & Kumar, Ajay & Shankar, Ravi & Gupta, Shivam, 2021. "Examining the predictors of successful Airbnb bookings with Hurdle models: Evidence from Europe, Australia, USA and Asia-Pacific cities," Journal of Business Research, Elsevier, vol. 137(C), pages 538-554.
    13. Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
    14. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    15. Dwivedi, Yogesh K. & Ismagilova, Elvira & Hughes, D. Laurie & Carlson, Jamie & Filieri, Raffaele & Jacobson, Jenna & Jain, Varsha & Karjaluoto, Heikki & Kefi, Hajer & Krishen, Anjala S. & Kumar, Vikra, 2021. "Setting the future of digital and social media marketing research: Perspectives and research propositions," International Journal of Information Management, Elsevier, vol. 59(C).
    16. Zhan, Yuanzhu & Han, Runyue & Tse, Mike & Ali, Mohd Helmi & Hu, Jiayao, 2021. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    17. Young-Jin Lee & Kellie B. Keeling & Andrew Urbaczewski, 2019. "The Economic Value of Online User Reviews with Ad Spending on Movie Box-Office Sales," Information Systems Frontiers, Springer, vol. 21(4), pages 829-844, August.
    18. Casaló, Luis V. & Flavián, Carlos & Ibáñez-Sánchez, Sergio, 2020. "Influencers on Instagram: Antecedents and consequences of opinion leadership," Journal of Business Research, Elsevier, vol. 117(C), pages 510-519.
    19. Yeo, Sook Fern & Tan, Cheng Ling & Teo, Shen Long & Tan, Kim Hua, 2021. "The role of food apps servitization on repurchase intention: A study of FoodPanda," International Journal of Production Economics, Elsevier, vol. 234(C).
    20. Sheth, Jagdish N. & Newman, Bruce I. & Gross, Barbara L., 1991. "Why we buy what we buy: A theory of consumption values," Journal of Business Research, Elsevier, vol. 22(2), pages 159-170, March.
    21. Chi, Ting & Kilduff, Peter P.D., 2011. "Understanding consumer perceived value of casual sportswear: An empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 18(5), pages 422-429.
    22. Park, Sang-June & Lee, Yeong-Ran & Borle, Sharad, 2018. "The shape of Word-of-Mouth response function," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 304-309.
    23. Eachempati, Prajwal & Srivastava, Praveen Ranjan & Kumar, Ajay & Muñoz de Prat, Javier & Delen, Dursun, 2022. "Can customer sentiment impact firm value? An integrated text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    3. Bigne, Enrique & Ruiz, Carla & Curras-Perez, Rafael, 2024. "How consumers process online review types in familiar versus unfamiliar destinations. A self-reported and neuroscientific study," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
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