The psychological mechanisms through which digital content marketing by online influencers affects customer loyalty
Evidence from multiple countries
Bibliographic Data
| ID | 22093417 |
|---|---|
| Authors | Qin Zhang (0000-0002-7537-9129, Universiti Teknologi MARA), Firdaus Abdullah (Universiti Teknologi MARA, corresponding author) |
| Year | 2025 |
| Volume | 10 |
| Publication date | 2025-11-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Communication (JOURNAL) |
| Journal identifiers | ISSN: 2297-900X • E-ISSN: 2297-900X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fcomm.2025.1702657 |
| OpenAlex | W4416195734 |
| Language | EN |
| Citations received | 1 |
| References cited | 178 |
Introduction This study examines the impact of digital content marketing on customer loyalty in the context of a rapidly evolving consumer environment marked by rising national income levels and shifting consumption patterns. Drawing on relationship marketing theory (RMT) and self-determination theory (SDT), the study explores how emotional attachment and emotional commitment moderate the relationship between digital content marketing and customer loyalty. By investigating emotional mechanisms in digital content marketing, this study expands the explanatory power of RMT in digital contexts and enriches the application of SDT in consumers’ emotional motivations and loyalty. Methods Using a quantitative research approach, based on multinational sample mainly from Asia (996 valid responses), the study employs partial least squares structural equation modelling (PLS-SEM) to analyse the proposed model. Results The findings reveal that high-quality digital content marketing significantly enhances customer loyalty, and this relationship is strengthened by both emotional attachment and emotional commitment. Discussion This study innovatively integrates emotional drivers into digital marketing, addressing the existing gap in exploring emotional mechanisms in this field. It not only enriches theoretical research at the intersection of digital marketing and relationship marketing but also offers practical insights for marketing managers and digital strategists, particularly in highly dynamic and emotionally driven consumer markets. This paper advances the understanding of how emotional mechanisms interact with digital marketing strategies to foster long-term customer relationships, offering implications for both theory and practice. Although the sample mainly from Asia, a leading region for digital marketing and e-commerce, the findings provide valuable insights into the emotional impact of digital content marketing within a global context
Consumer behaviour · Content marketing · Customer engagement · Digital marketing · Digital media · Influencer marketing · Loyalty business model · Relationship marketing · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Technology Adoption and User Behaviour
Basic psychological need theory
A perspective on using partial least squares structural equation modelling in data articles
Beyond a tandem analysis of SEM and PROCESS
Understanding and shaping the future of work with self-determination theory
Reporting reliability, convergent and discriminant validity with structural equation modeling
Multigroup analysis of more than two groups in PLS-SEM
An Introduction to Structural Equation Modeling
Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Intrinsic and extrinsic motivation from a self-determination theory perspective
The persuasive power of social media influencers in brand credibility and purchase intention
Examining the relationship between digital content marketing perceived value and brand loyalty
Impact of social media advertising on consumer behavior
The impact of brand identification, brand image, and brand love on brand loyalty
Investigating the Key Drivers of the Sustainability of Family Businesses
The usage time of social media as a predictor of customer loyalty
When Does a Researcher Choose a Quantitative, Qualitative, or Mixed Research Approach
Impacts of real-world need satisfaction on online gamer loyalty
Dealing with intrusive ads
Need Support and Need Thwarting
Linking the potentials of extended digital marketing impact and start-up growth
Making and breaking relationships on social media
Can Different Types of Non-Territorial Working Satisfy Employees’ Needs for Autonomy and Belongingness? Insights From Self-Determination Theory
Sample size in quantitative instrument-based studies published in Scopus up to 2022
Investigating the Impact of Misleading Information via Social Media Platforms on the Trust and Image of Beauty and Skincare Companies, as Perceived by Customers
How Social Media Influencers Foster Relationships with Followers
Factor analysis of research culture
Perceived Risk of Covid-19 and Employee Decision-Making
The Moderating Role of Emotion Regulation in the Recall of Negative Autobiographical Memories
Investigating the impact of digital influencers on consumer decision-making and content outreach
Measuring social desirability bias
A multi-group analysis of convenience samples
AI enabled travel
Wear in or wear out
A mediated model on the adoption of social media and SMEs’ performance in developing countries
Patterns of Social Media Use across Age Groups during the Covid-19 Pandemic
Web-browsing patterns reflect and shape mood and mental health
Impact through participatory research approaches
What Drives Followers-Influencer Intention in Influencer Marketing? The Perspectives of Emotional Attachment and Quality of Information
How Does Multi-Platform Social Media Use Lead to Biased News Engagement? Examining the Role of Counter-Attitudinal Incidental Exposure, Cognitive Elaboration, and Network Homogeneity
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |