IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i2p21582440241253991.html
   My bibliography  Save this article

Influence Mechanism of Content Marketing for Fashion Brand Culture on Consumers’ Purchase Intention Based on Information Adoption Theory

Author

Listed:
  • Lihong Chen
  • Han Gao
  • Hafeezullah Memon
  • Chunhong Liu
  • Xinfeng Yan
  • Ling Li

Abstract

This research aims to explore the influencing mechanism of fashion brand cultural content marketing on consumers’ willingness to buy. The concept of content marketing for fashion brand culture was analyzed from the four dimensions of functional content, entertainment content, emotional content, and interactive content according to content marketing theory, and the influencing mechanism was studied based on the information adoption theory. Furthermore, it is verified for the mediating role of information content quality perception, information utility quality perception, information expression quality perception, information carrier quality perception, information adoption, and the moderating role of information involvement and brand trust. The structural equation model was developed and empirically tested the hypothesis. The results show that fashion brand culture content marketing can promote consumers’ willingness to buy. Consumers generate purchase intention by perceiving information content quality, information utility quality, information expression quality, information carrier quality, and information adoption. It was found that consumers with high involvement degrees are more likely to perceive information. Moreover, consumers with high brand trust will promote the effect of information adoption on consumers’ purchase intention. This research provides new ideas and references for the content marketing of fashion brand culture. It provides quantitative scientific data for fashion enterprises to grasp the direction of fashion brand culture content marketing and implement brand culture shaping and communication strategies.

Suggested Citation

  • Lihong Chen & Han Gao & Hafeezullah Memon & Chunhong Liu & Xinfeng Yan & Ling Li, 2024. "Influence Mechanism of Content Marketing for Fashion Brand Culture on Consumers’ Purchase Intention Based on Information Adoption Theory," SAGE Open, , vol. 14(2), pages 21582440241, June.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241253991
    DOI: 10.1177/21582440241253991
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241253991
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241253991?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Seung-Hee Lee & Jane E Workman, 2021. "Trendsetting and gender matter: Brand loyalty, perceived quality, and word-of-mouth," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 12(1), pages 16-31, January.
    2. Lihong Chen & Kexin Qie & Hafeezullah Memon & Hanur Meku Yesuf, 2021. "The Empirical Analysis of Green Innovation for Fashion Brands, Perceived Value and Green Purchase Intention—Mediating and Moderating Effects," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    3. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57946, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Tajvidi, Mina & Richard, Marie-Odile & Wang, YiChuan & Hajli, Nick, 2020. "Brand co-creation through social commerce information sharing: The role of social media," Journal of Business Research, Elsevier, vol. 121(C), pages 476-486.
    5. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 59346, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Zhou, Shuang & Blazquez, Marta & McCormick, Helen & Barnes, Liz, 2021. "How social media influencers’ narrative strategies benefit cultivating influencer marketing: Tackling issues of cultural barriers, commercialised content, and sponsorship disclosure," Journal of Business Research, Elsevier, vol. 134(C), pages 122-142.
    7. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    8. Fu, Jen-Ruei & Lu, I-Wei & Chen, Jessica H.F. & Farn, Cheng-Kiang, 2020. "Investigating consumers’ online social shopping intention: An information processing perspective," International Journal of Information Management, Elsevier, vol. 54(C).
    9. Sabine Matook & Susan A Brown & Johanna Rolf, 2015. "Forming an intention to act on recommendations given via online social networks," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(1), pages 76-92, January.
    10. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran, 2020. "On-demand service platforms pro/anti adoption cognition: Examining the context-specific reasons," Journal of Business Research, Elsevier, vol. 121(C), pages 180-194.
    11. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    12. 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.
    13. Zhao, Yan & Wen, Lingling & Feng, Xiangnan & Li, Ran & Lin, Xiaolin, 2020. "How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    14. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65605, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Lars Bergkvist & Martin Eisend, 2021. "The dynamic nature of marketing constructs," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 521-541, May.
    16. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    17. McClure, Clair & Seock, Yoo-Kyoung, 2020. "The role of involvement: Investigating the effect of brand's social media pages on consumer purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    18. Mrad, Mona & Majdalani, Joelle & Cui, Charles Chi & El Khansa, Zeinab, 2020. "Brand addiction in the contexts of luxury and fast-fashion brands," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shih-Wei Chou & Chia-Shiang Hsu, 2016. "Understanding online repurchase intention: social exchange theory and shopping habit," Information Systems and e-Business Management, Springer, vol. 14(1), pages 19-45, February.
    2. Thomas Friedrich & Sebastian Schlauderer & Sven Overhage, 2021. "Some things are just better rich: how social commerce feature richness affects consumers’ buying intention via social factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 159-180, March.
    3. Tuncer, Ilhami, 2021. "The relationship between IT affordance, flow experience, trust, and social commerce intention: An exploration using the S-O-R paradigm," Technology in Society, Elsevier, vol. 65(C).
    4. Hu, Xi & Huang, Qian & Zhong, Xuepan & Davison, Robert M. & Zhao, Dingtao, 2016. "The influence of peer characteristics and technical features of a social shopping website on a consumer’s purchase intention," International Journal of Information Management, Elsevier, vol. 36(6), pages 1218-1230.
    5. Isamar Troncoso & Lan Luo, 2023. "Look the Part? The Role of Profile Pictures in Online Labor Markets," Marketing Science, INFORMS, vol. 42(6), pages 1080-1100, November.
    6. Fursov, Konstantin & Thurner, Thomas & Nefedova, Alena, 2017. "What user-innovators do that others don't: A study of daily practices," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 153-160.
    7. Sofia Cardoso & Luis F. Martinez, 2019. "Online payments strategy: how third-party internet seals of approval and payment provider reputation influence the Millennials’ online transactions," Electronic Commerce Research, Springer, vol. 19(1), pages 189-209, March.
    8. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.
    9. Sullivan, Yulia W. & Kim, Dan J., 2018. "Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments," International Journal of Information Management, Elsevier, vol. 39(C), pages 199-219.
    10. Yi, Sangyoon & Kim, Dongyeon & Ju, Jaehyeon, 2022. "Recommendation technologies and consumption diversity: An experimental study on product recommendations, consumer search, and sales diversity," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    11. Qihua Liu & Xiaoyu Zhang & Liyi Zhang & Yang Zhao, 2019. "The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation," Electronic Commerce Research, Springer, vol. 19(3), pages 521-547, September.
    12. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    13. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    14. Severin Weiler & Christian Matt & Thomas Hess, 2022. "Immunizing with information – Inoculation messages against conversational agents’ response failures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 239-258, March.
    15. Christian Matt & Thomas Hess, 2016. "Product fit uncertainty and its effects on vendor choice: an experimental study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(1), pages 83-93, February.
    16. Fanjuan Shi & Jean-Luc Marini, 2014. "Do we need to believe Data/Tangible or Emotional/Intuition?," Post-Print halshs-01065283, HAL.
    17. David Schneider & Johannes Klumpe & Martin Adam & Alexander Benlian, 2020. "Nudging users into digital service solutions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 863-881, December.
    18. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    19. Ni Wayan Masri & Athapol Ruangkanjanases & Shih-Chih Chen, 2020. "The Effects of Product Monetary Value, Product Evaluation Cost, and Customer Enjoyment on Customer Intention to Purchase and Reuse Vendors: Institutional Trust-Based Mechanisms," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    20. Blut, Markus & Ghiassaleh, Arezou & Wang, Cheng, 2023. "Testing the performance of online recommendation agents: A meta-analysis," Journal of Retailing, Elsevier, vol. 99(3), pages 440-459.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241253991. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.