Model of Causal Factor Affecting the Business Performance of the Garment Industry in Gongqing City, Jiangxi Province
DOI:
https://doi.org/10.60027/iarj.2026.e299938Keywords:
Advertising Exposure, Brand Recognition, Emotional Connection, Business PerformanceAbstract
Background and Aims: The garment industry in Gongqing City, Jiangxi Province, known as China's premier hub for down clothing, faces a critical strategic transition from original equipment manufacturing (OEM) to a brand-driven competitive model. Despite a rich body of marketing scholarship on advertising effectiveness and brand equity, limited empirical attention has been given to the psychological mechanisms through which advertising translates into measurable business outcomes in culturally distinctive regional industrial clusters. Drawing on brand equity theory, the hierarchy-of-effects model, and the resource-based view, this study aimed to: (1) identify key causal factors affecting business performance (BP); (2) analyze the causal relationships among advertising exposure (AE), brand recognition (BR), emotional connection (EC), and BP; and (3) develop and validate a structural model illustrating how these factors influence BP through dual mediation.
Methodology: A concurrent mixed-methods design was employed to ensure both theoretical rigor and contextual depth. Quantitatively, a questionnaire survey was administered to 420 employees drawn from 20 representative garment enterprises in Gongqing City using stratified random sampling. Constructs were measured using validated scales adapted from established marketing research on a 5-point Likert scale. Data were analyzed using Structural Equation Modeling (SEM) via AMOS, preceded by reliability (Cronbach α), convergent validity (Average Variance Extracted), and discriminant validity assessments. Qualitatively, semi-structured interviews with 15 industry experts provided contextual explanations of the quantitative patterns.
Results: All seven hypotheses were supported. AE exerted a significant direct effect on BP (β=0.25), as well as strong positive effects on BR (β=0.90) and EC (β=0.57). BR and EC, in turn, significantly influenced BP (β=0.43 and β=0.39, respectively). Critically, indirect effects through BR (β=0.387) and EC (β=0.222) together accounted for 70.9% of AE's total effect (β=0.859) on BP, revealing that the predominant pathway from advertising to performance is psychological rather than direct. The structural model demonstrated excellent fit (χ²/df=0.864, RMSEA=0.000, GFI=0.967, NFI=0.959). Qualitative findings identified Douyin live-streaming, local ‘red culture’ storytelling, and eco-friendly branding as concrete mechanisms amplifying these mediation pathways.
Conclusion: This study advances marketing theory by validating a dual-mediation model in which AE influences BP primarily through sequential cognitive and affective pathways. The disproportionate magnitude of indirect effects representing 70.9% of total advertising impact challenges the conventional emphasis on direct advertising returns and signals a paradigm shift toward psychologically driven brand management for SMEs in manufacturing-based clusters. Practically, the findings provide a strategic framework for Gongqing garment enterprises to realign marketing investments from output-based advertising toward brand equity cultivation and emotionally resonant communication.
References
Aaker, D. A. (1991). Managing brand equity: Capitalizing on the value of a brand name. Free Press. https://books.google.com/books/about/Managing_Brand_Equity.html?id=FkO5AAAAIAAJ
Belch, G. E., & Belch, M. A. (2021). Advertising and promotion: An integrated marketing communications perspective (12th ed.). McGraw Hill. https://books.google.com/books/about/Advertising_and_Promotion.html?id=PYpSzQEACAAJ
Brandão, A., & Ramos, Á. S. (2024). “Your comments boost my value!” The mediator role of emotional brand attachment between brand equity and social media engagement. Journal of Marketing for Higher Education, 34(2), 1220–1249. https://doi.org/10.1080/08841241.2023.2275749
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81–93. https://doi.org/10.1509/jmkg.65.2.81.18255
Christensen, C. M., Raynor, M. E., & McDonald, R. (2015). What is disruptive innovation? Harvard Business Review, 93(12), 44–53. https://hbr.org/2015/12/what-is-disruptive-innovation
Fournier, S., & Alvarez, C. (2012). Brands as relationship partners: Warmth, competence, and in-between. Journal of Consumer Psychology, 22(2), 177–185. https://doi.org/10.1016/j.jcps.2011.10.003
Ha, L., & McCann, J. (2022). The role of peripheral cues in low-involvement TV advertising persuasion. Journal of Current Issues & Research in Advertising, 43(1), 45–62.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage. https://us.sagepub.com/en-us/nam/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book270548
Kamphaengdee, W., Maneenin, N., & Sriphong, P. (2025). Pathways to success: Examining the influence of entrepreneurial potential and business management on Southern Thai agri-food community enterprise performance. Asian Interdisciplinary and Sustainability Review, 14(1), Article 7. https://doi.org/10.14456/aisr.2025.7
Kaplan, R. S., & Norton, D. P. (2004). Strategy maps: Converting intangible assets into tangible outcomes. Harvard Business School Press.
Keller, K. L. (2016). Reflections on customer-based brand equity: Perspectives, progress, and priorities. AMS Review, 6(1), 1–16. https://doi.org/10.1007/s13162-016-0078-z
Khan, A., Khan, Z., & Nabi, M. K. (2024). “I think exactly the same”—Trust in SMIs and online purchase intention: A moderation mediation analysis using PLS-SEM. Journal of Advances in Management Research, 21(2), 311–330. https://doi.org/10.1108/JAMR-03-2023-0087
Lalaeng, P., & Hongsakul, N. (2024). Creative economy, dynamic capabilities, and competitive advantage affecting the business performance of SMEs in the textile manufacturing industry of Thailand. Asian Administration and Management Review, 7(2), 115–129. https://doi.org/10.14456/aamr.2024.28
Mehta, M. J., & Deuskar, V. A. (2025). Narrative and metaphorical persuasion in advertising: A multidisciplinary systematic review of linguistic strategies and consumer response. International Education and Research Journal, 11(8). https://doi.org/10.5281/zenodo.17036593
Mishra, M., Kushwaha, R., & Gupta, N. (2024). Impact of sales promotion on consumer buying behavior in the apparel industry. Cogent Business & Management, 11(1), Article 2310552. https://doi.org/10.1080/23311975.2024.2310552
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156
Park, J. P., & Hwang, J. S. (2024). The effect of customer-based brand equity on brand attitude and behavioral intention for mobile e-coupons: Focusing on chicken franchise brands. Korean Journal of Franchise Management, 15(3), 1–15. https://accesson.kr/kjfm/assets/pdf/45226/journal-15-3-25.pdf
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88. https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition
Ray, M. L. (1973). Marketing communication and the hierarchy-of-effects. In P. Clarke (Ed.), New models for mass communication research (pp. 147–176). Sage.
Schmitt, B. (2011). Experience marketing: Concepts, frameworks and consumer insights. Foundations and Trends in Marketing, 5(2), 55–112. https://doi.org/10.1561/1700000027
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Tellis, G. J. (2009). Generalizations about advertising effectiveness in markets. Journal of Advertising Research, 49(2), 240–245. https://doi.org/10.2501/S0021849909090357
Vijayakumar, A., & Davidova, J. (2025). Enhancing consumer buying behaviour through innovation hubs: A quantitative study in the Indian apparel sector. Acta Prosperitatis, 16(1), 165–178. https://doi.org/10.2478/acpro-2025-0014
Yang, G., Chaiyasoonthorn, W., & Chaveesuk, S. (2024). Exploring the influence of live streaming on consumer purchase intention: A structural equation modeling approach in the Chinese e-commerce sector. Acta Psychologica, 249, Article 104415. https://doi.org/10.1016/j.actpsy.2024.104415
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Interdisciplinary Academic and Research Journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright on any article in the Interdisciplinary Academic and Research Journal is retained by the author(s) under the under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Permission to use text, content, images, etc. of publication. Any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose. But do not use it for commercial use or with the intent to benefit any business.






.png)
