Peilin Phua
Biographic Data
| ID | 9506786 |
|---|---|
| NAME | Peilin Phua |
| GIVEN NAMES | Peilin |
| FAMILY NAME | Phua |
| SIGNATURE | PHUA P |
| AFFILIATIONS | Adelaide University |
| ORCID | 0000-0002-9000-2450 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Shape-based assets are strongest
Distinctive Assets, non-brand name elements such as logos, colors, sounds, or slogans, are increasingly measured by marketers, yet industry benchmarks to guide expectations remain absent. This study addresses the gap by analyzing 1162 Distinctive Assets across 21 categories, four countries, and nine years, covering auditory, word, and visual asset types in retail, services, durables, and consumer goods. Asset strength is assessed by Fame (how oft…
Generational advertising
Generational labels are widely used in popular culture to signal the values or behaviours of specific groups, making them appealing to advertisers. This paper reviews generational segmentation in advertising research and examines its practice through interviews with advertising practitioners. The paper provides an extended literature review, insights, and implications for research and practice. While generational segmentation is a convenient way …
No prominent works on this page.
Generational advertising
Generational labels are widely used in popular culture to signal the values or behaviours of specific groups, making them appealing to advertisers. This paper reviews generational segmentation in advertising research and examines its practice through interviews with advertising practitioners. The paper provides an extended literature review, insights, and implications for research and practice. While generational segmentation is a convenient way …
Shape-based assets are strongest
Distinctive Assets, non-brand name elements such as logos, colors, sounds, or slogans, are increasingly measured by marketers, yet industry benchmarks to guide expectations remain absent. This study addresses the gap by analyzing 1162 Distinctive Assets across 21 categories, four countries, and nine years, covering auditory, word, and visual asset types in retail, services, durables, and consumer goods. Asset strength is assessed by Fame (how oft…
Advertising (1 works) · Benchmarking (1 works) · Brand management (1 works) · Brand names (1 works) · Business (1 works) · Computer Science (1 works) · Computer security (1 works) · Consumer Behavior in Brand Consumption and Identification (1 works) · Digital Marketing and Social Media (1 works) · Generational Differences and Trends (1 works)