مدیریت تبلیغات و فروش

مدیریت تبلیغات و فروش

بررسی تأثیر عوامل روانشناختی در تمایل به استفاده از نرم‌افزارهای چهره‌آرایی مبتنی بر هوش مصنوعی در بازاریابی لوازم آرایشی

نویسندگان
1 کارشناس ارشد مدیریت بازاریابی، دانشکده علوم پزشکی، اسدآباد، اسدآباد. ایران
2 استادیار گروه مدیریت، دانشکده علوم انسانی و اجتماعی، دانشگاه گلستان، گرگان. ایران
3 کارشناس ارشد مدیریت بازاریابی، دانشگاه ملایر، دانشکده علوم انسانی، همدان، ایران
چکیده
هدف: در سال‌های اخیر، شاهد ظهور بلاگرهای در رسانه‌های اجتماعی بوده‌ایم که از نرم‌افزارهای چهره‌آرایی هوش مصنوعی برای بهبود ویژگی‌های صورت خود استفاده می‌کنند که همین امر می‌تواند نمونه‌ای از تبلیغات دهان‌به‌دهان الکترونیکی لوازم آرایشی-بهداشتی در میان کاربران رسانه‌های اجتماعی باشد که منجر به خرید نهایی شود. اما علیرغم اهمیت فزاینده هوش مصنوعی به‌مثابه ابزاری در جهت پیشبرد ارتباطات بازاریابی و علاقه زیاد محققان به مقوله پذیرش فناوری‌های جدید، تحقیقات کافی در مورد عوامل فردی تعیین‌کننده تمایل به استفاده از نرم‌افزارهای چهره‌آرایی هوش مصنوعی وجود ندارد و نتایج پراکنده تحقیقات قبلی به‌ضرورت انجام تحقیقات وسیع‌تری اشاره دارد. ازاین‌رو، هدف از این مطالعه تحلیل و بررسی تأثیر استفاده از نرم‌افزارهای چهره‌آرایی هوش مصنوعی در بازاریابی لوازم آرایشی و بهداشتی بر تمایل تبلیغات دهان‌به‌دهان الکترونیکی در بین کاربران رسانه‌های اجتماعی از طریق تقویت خرید واقعی است.
روش: این پژوهش از نظر هدف کاربردی و از نظر نحوه گردآوری اطلاعات توصیفی و همبستگی، مبتنی بر مدل معادلات ساختاری است. برای دستیابی به هدف پژوهش، یک مدل مفهومی براساس ویژگی‌های شخصیتی افراد ارائه شده است. جامعه آماری پژوهش، کلیه کاربران رسانه‌های اجتماعی که از نرم‌افزار چهره‌آرایی هوش مصنوعی استفاده می‌کردند، بود. بر اساس جدول مورگان، برای جامعه نامحدود حداقل حجم نمونه 384 نفر تعیین و با روش نمونه‌گیری در دسترس انتخاب شد. برای جمع‌آوری داده‌ها از پرسشنامه استفاده شد. پرسشنامه بین 400 نفر از جامعة آماری توزیع و در نهایت، 384 پرسش نامه بدون نقص دریافت شد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Investigating the impact of psychological factors on the willingness to use artificial intelligence-based makeup software in cosmetics marketing

نویسندگان English

Behzad Sanjari Nader 1
Hossain Balochi 2
Mehrdad Maleki Verki 3
1 MSc in Marketing Management. Faculty of Medical Sciences, Asadabad, Asadabad. Iran
2 Assistant Prof, Department of Management, Faculty of Humanities and Social Sciences, Golestan University, Gorgan. Iran
3 MSc in Marketing Management, Faculty of Humanities, Malayer University, Hamadan, Iran
چکیده English

The purpose of this study is to analyze and investigate the effect of psychological factors on the willingness to use artificial intelligence makeup software, electronic word-of-mouth advertising by strengthening real purchases in cosmetics marketing among social media users. This research is based on the structural equation model in terms of its applied purpose and in terms of the method of collecting descriptive and correlational data. To achieve the research goal, a conceptual model based on the psychological characteristics of individuals is presented. The statistical population of the research is all social media users who use artificial intelligence makeup software. Based on the Morgan table, a minimum sample size of 384 people was determined for the aforementioned unlimited population and was selected using the convenience sampling method. The research data was also collected through a questionnaire. The questionnaire was distributed among 400 people from the statistical population and finally, 384 questionnaires were received without defects and their reliability was confirmed with composite reliability, homogenous reliability, and Cronbach's alpha indices. The convergent validity of the questionnaire was also confirmed through variance extraction and divergent validity using the Fornell and Locker criteria. The construct validity was also confirmed by confirmatory factor analysis. The conceptual model of the research was measured using path analysis in the structural part of the structural equation model and SmartPLS software.

کلیدواژه‌ها English

Actual Purchase
Addiction to Social Media
Electronic Word-of-Mouth Advertising
Negative Body Emage
Price Sensitivity
  • 1) Abed, S.S. (2021), “A literature review exploring the role of technology in business survival during the Covid-19 lockdowns”, International Journal of Organizational Analysis, doi: 10.1108/IJOA-11-2020-2501
  • 2) Ahmed, K.E.S., Ambika, A. and Belk, R. (2022), “Augmented reality magic mirror in the service sector: experiential consumption and the self”, Journal of Service Management,
  • 3) Baucells, M., Osadchiy, N. and Ovchinnikov, A. (2017). “Behavioral anomalies in consumer wait-orbuy decisions and their implications for markdown management”, Operations Research, Vol. 65 2, pp. 357-378.
  • 4) Barker, J. (2020), “Making-up on mobile: the pretty filters and ugly implications of Snapchat”, Fashion, Style and Popular Culture, Vol. 7 Nos 2-3, pp. 207-221.
  • 5) Casale, S. and Fioravanti, G. (2018). “Why narcissists are at risk for developing Facebook addiction: the need to be admired and the need to belong”, Addictive Behaviors, Vol. 76, pp. 312-318.
  • 6) Chen, S.S., Choubey, B. and Singh, V. (2021). “A neural network-based price sensitive recommender model to predict customer choices based on price effect”, Journal of Retailing and Consumer Services, Vol. 61 No. 1, 102573.
  • 7) Cristiana, P.O.P. (2016). “Self-esteem and body image perception in a sample of university students”, Eurasian Journal of Educational Research, Vol. 16 No. 64, pp. 31-44
  • 8) Dogan, H., Norman, H., Alrobai, A., Jiang, N., Nordin, N. and Adnan, A. (2019). “A web-based intervention for social media addiction disorder management in higher education: quantitative survey study”, Journal of Medical Internet Research, Vol. 21 No. 10, e14834.
  • 9) Fabris, M.A., Marengo, D., Longobardi, C. and Settanni, M. (2020). “Investigating the links between fear of missing out, social media addiction and emotional symptoms in adolescence: the role of stress associated with neglect and negative reactions on social media”, Addictive Behaviors, Vol. 106, 106364.
  • Fastoso, F., Gonz_alez-Jim_enez, H. and Cometto, T. (2021). “Mirror, mirror on my phone: drivers and consequences of selfie editing”, Journal of Business Research, Vol. 133 No. 1, pp. 365-375, doi: 10.1016/j.jbusres.2021.05.002.
  • Florenthal, B., Awad, M. and Godar, S. (2020). “Nonprofits meet millennials: a hybrid approach of uses and gratifications and TAM to identify the drivers of monetary donation intention”, Young Consumers, Vol. 21 No. 4, pp. 435-449.
  • Gan, C. and Li, H. (2018). “Understanding the effects of gratifications on the continuance intention to use WeChat in China: a perspective on uses and gratifications”, Computers in Human Behavior,Vol. 78, pp. 306-315,
  • Bhargava, H.K. (2014), “Platform technologies and network goods: insights on product launch and management”, Information Technology and Management, Vol. 15 No. 3, pp. 199-209.
  • Goldsmith, R.E., Flynn, L.R. and Kim, D. (2010), “Status consumption and price sensitivity”, Journal of Marketing Theory and Practice, Vol. 18 No. 4, pp. 323-338
  • Grewal, D., Roggeveen, A.L. and Nordf€alt, J. (2017). “The future of retailing”, Journal of Retailing,Vol. 93 No. 1, pp. 1-6.
  • Hamari, J., Malik, A., Koski, J. and Johri, A. (2019), “Uses and gratifications of pok_emon go: why do people play mobile location-based augmented reality games?”, International Journal of Human–Computer Interaction, Vol. 35 No. 9, pp. 804-819,
  • Huang, L.V. and Liu, S. (2020). “Presenting an ideal self on weibo: the effects of narcissism and selfpresentation valence on uses and gratifications”, Frontiers in Psychology, Vol. 11, p. 1310.
  • Huang, J. and Zhou, L. (2018). “Timing of web personalization in mobile shopping: a perspective from Uses and Gratifications Theory”, Computers in Human Behavior, Vol. 88, pp. 103-113.
  • Hsu, S.H.Y., Tsou, H.T. and Chen, J.S. (2021), “Yes, we do. Why not use augmented reality? Customer responses to experiential presentations of AR-based applications”, Journal of Retailing and Consumer Services, Vol. 62 No. 1, 102649, doi: 10.1016/j.jretconser.2021.102649.
  • Ibanez-Sanchez, S., Orus, C. and Flavian, C. (2022). “Augmented reality filters on social media. Analyzing the drivers of playability based on uses and gratifications theory”, Psychology and Marketing, Vol. 39 No. 3, pp.
  • Javed, S., Rashidin, M.S. and Xiao, Y. (2022). “Investigating the impact of digital influencers on consumer decision-making and content outreach: using dual AISAS model”, Economic Research-Ekonomska Istra_zivanja, Vol. 35 No. 1, pp. 1183-1210.
  • Javornik, A., Marder, B., Barhorst, J.B., McLean, G., Rogers, Y., Marshall, P. and Warlop, L. (2022).What lies behind the filter?’ Uncovering the motivations for using augmented reality (AR) face filters on social media and their effect on well-being”, Computers in Human Behavior, Vol. 128, 107126.
  • Keubler, R., Pauwels, K., Yildirim, G. and Fandrich, T. (2018). “App popularity: where in the world are consumers most sensitive to price and user ratings?”, Journal of Marketing, Vol. 82 No. 5, 20-44.
  • Katz, Elihu (1959). "Mass Communications Research and the Study of Popular Culture: An Editorial Note on a Possible Future for this Journal". Departmental Papers (ASC): 1–6
  • Lee, H. and Cho, C.H. (2020). “Uses and gratifications of smart speakers: modelling the effectiveness of smart speaker advertising”, International Journal of Advertising, Vol. 39 No. 7, pp.
  • Li, H., Liu, Y., Xu, X., Heikkil€a, J. and van der Heijden, H. (2015). “Modeling hedonic is continuance through the uses and gratifications theory: an empirical study in online games”, Computers in Human Behavior, Vol. 48, pp. 261-272.
  • Meibner, M., Pfeiffer, J., Peukert, C., Dietrich, H. and Pfeiffer, T. (2020). “How virtual reality affects consumer choice”, Journal of Business Research, Vol. 117 No. 1, pp. 219-231.
  • Marengo, D., Poletti, I. and Settanni, M. (2020). “The interplay between neuroticism, extraversion and social media addiction in young adult Facebook users: testing the mediating role of online activity using objective data”, Addictive Behaviors, Vol. 102. No. 1, 106150.
  • Mendelson, B.K., McLaren, L., Gauvin, L. and Steiger, H. (2002), “The relationship of self-esteem and body esteem in women with and without eating disorders”, International Journal of Eating Disorders, Vol. 31 No. 3, pp. 318-323.
  • Mihaila, R. and Braniste, L. (2021). “Digital semantics of beauty apps and filters: big data-driven facial retouching, aesthetic self-monitoring devices and augmented reality-based body-enhancing technologies”, Journal of Research in Gender Studies, Vol. 11 No. 2, pp. 100-112.
  • Nanda, A., Xu, Y. and Zhang, F. (2021), “How would the COVID-19 pandemic reshape retail real estate and high streets through acceleration of E-commerce and digitalization?”, Journal of Urban Management, Vol. 10 No. 2, pp. 110-124, doi: 10.1016/j.jum.2021.04.001.
  • Rashidin, M.S., Gang, D., Javed, S. and Hasan, M. (2021). “The role of artificial intelligence in sustaining the E-commerce ecosystem: alibaba vs. Tencent”, Journal of Global Information Management (JGIM), Vol. 30 No. 8, pp. 1-25.
  • Rauschnabel, P.A., He, J. and Ro, Y.K. (2018). “Antecedents to the adoption of augmented reality smart glasses: a closer look at privacy risks”, Journal of Business Research, Vol. 92, 374-384
  • Romano, B., Sands, S. and Pallant, J.I. (2022). “Virtual shopping: segmenting consumer attitudes towards augmented reality as a shopping tool”, International Journal of Retail and Distribution Management, doi: 10.1108/IJRDM-10-2021-0493
  • Sanghani, R.M. and Doukky, R. (2018), “Fully automated analysis of perfusion data: the rise of the machines”, Journal of Nuclear Cardiology, Vol. 25 No. 4, pp. 1361-1363.
  • Scholz, J. and Duffy, K. (2018), “We ARe at home: how augmented reality reshapes mobile marketing and consumer-brand relationships”, Journal of Retailing and Consumer Services, Vol. 44 No. 1, pp. 11-23, doi: 10.1016/j.jretconser.2018.05.004.
  • Smink, A.R., Frowijn, S., van Reijmersdal, E.A., van Noort, G. and Neijens, P.C. (2019), “Try online before you buy: how does shopping with augmented reality affect brand responses and personal data disclosure”, Electronic Commerce Research and Applications, Vol. 35 No. 1, 100854, doi: 10.1016/j.elerap.2019.100854.
  • Steenackers, K., Cassady, B., Brengman, M. and Willems, K. (2016). “OR-100: measuring Facebook addiction among adults: validating the Bergen Facebook addiction scale in a non-student sample”, Journal of Behavioral Addictions, Vol. 5 No. S1, pp. 41-42.
  • Tan, Y.C., Chandukala, S.R. and Reddy, S.K. (2022).“Augmented reality in retail and its impact on sales”, Journal of Marketing, Vol. 86 No. 1, pp. 48-66.
  • 1) Wang, J. C. & Chang, C. H. (2013). How online social ties and product-related risks influence purchase intentions: A Facebook experiment. Electronic Commerce Research and Applications, 12(5), 337-346.
  • 2) Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of Operations Research, Vol. 308 No. 1, pp. 641-652.
  • 3) Simay, A. E., Wei, Y. & Gyulavari T. (2023). The e-WOM intention of artificial intelligence (AI) color cosmetics among Chinese social media influencers. Asia Pacific Journal of Marketing and Logistics, Vol. 5. No. 7, pp. 1-30.
  • 4) Xu, L., Zhang, L., Cui, N. and Yang, Z. (2019), “How and when AR technology affects product attitude”, Asia Pacific Journal of Marketing and Logistics, Vol. 32 No. 6, pp. 1226-1241, doi: 10.1108/APJML-03-2019-0221.
  • 5) Yim, M.Y.C. and Park, S.Y. (2019). “I am not satisfied with my body, so I like augmented reality (AR): consumer responses to AR-based product presentations”, Journal of Business Research, Vol. 100 1, pp. 581-58.
  • 6) Yuling Wei, Attila Endre Simay, Irma Agárdi, Jhanghiz Syahrivar & Ágnes Hofmeister-Tóth (2023): Using Artificial Intelligence to Promote Branded Color Cosmetics: Evidence from Indonesia, Journal of Promotion Management, DOI: 10.1080/10496491.2022.2163036