International Journal of Resistive Economics

International Journal of Resistive Economics

Examining the Impact of Digital Content Management Strategies on Audience Loyalty with the Mediating Role of User Experience

Document Type : Original Article

Author
Master of Business Administration, Allameh Tabataba'i University, Tehran, Iran
10.22034/oajre.2025.527503.1117
Abstract
This study aims to investigate the impact of digital content management strategies on audience loyalty, with user experience as a mediating factor, within the context of digital platforms. Employing a quantitative approach, the study utilized structural equation modeling (SEM) through SmartPLS4 software. The population consisted of active users of digital platforms (Instagram and Telegram) in Iran, from which a sample of 400 participants was selected using convenience sampling. Data were collected via a standardized questionnaire comprising three main constructs: digital content management strategies, user experience, and audience loyalty. The instrument’s validity was confirmed through content validity, convergent validity (AVE > 0.5), and discriminant validity (Fornell-Larcker criterion). Reliability was established using Cronbach’s alpha (> 0.7) and composite reliability (CR > 0.7). Findings revealed that digital content management strategies have a significant positive effect on user experience (β = 0.58, p < 0.01) and audience loyalty (β = 0.42, p < 0.01). Additionally, user experience mediates the indirect effect of digital content management strategies on audience loyalty (β = 0.29, p < 0.05). The coefficient of determination (R²) was 0.65 for audience loyalty and 0.52 for user experience, indicating strong explanatory power. The goodness-of-fit index (GOF = 0.48) confirmed the model’s adequacy. The results underscore the importance of user-centric digital content strategies in enhancing audience loyalty. Media organizations are recommended to focus on improving content quality, interactivity, and personalization. Future research could explore cultural and psychological factors, such as individual values and social norms, in similar models.
Keywords

  • Receive Date 31 May 2024
  • Revise Date 01 July 2024
  • Accept Date 31 July 2024