Automated Author ProfileIrin Prakobklin
Irin Prakobklin
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The main purpose of this study is to identify customers attitudes and intentions for purchasing cosmetics in Thailand, through the impact of Micro Influencers, who have a follower-based audience at a lower range of 2,000 followers up to 50,000 followers, as well as Beauty Influencers, generally referred to as a Beauty Blogger/YouTuber, who have more than 50,000 followers on the online application platform. In sequence to accomplish this research, an Exploratory Research and Descriptive Research methods were directed to obtain market and customer behavior. Within the Exploratory Research, the secondary data collection was supported by a combination of extensive literature review comprised of credible and reliable sources, such as articles, news reports, and studies. Primary data collection through an in-depth interview with five participants was also chosen for this study. The time duration of an interview was approximately 20 minutes. For the Descriptive Research, a non-probability sampling technique was used, using the Google Survey as a tool via messaging platform. The participants were women, aged 20-35 years old, who all live in the Bangkok metropolitan area at the time of participating the questionnaire. A quantitative questionnaire was distributed online targeting a sampling frame of 100 participants. All questionnaire had already been collected 50 respondents in each group which were Micro Influencer and Beauty Influencer. The data were analysed by using Statistical Package for the Social Sciences (SPSS).The results of the research shown that Thai female, who age between 20-35 years, live in Bangkok and metropolitan area prefer to make purchase based on Beauty Influencer recommendations which were product reviews for cosmetic brand/products knowledges presented on Youtube. The influencers would be Trustworthy Credible and Expert.As a result, the research can be useful for marketers, cosmetics brand manager and digital planner to better understand insight and female customers’ opinion and attitude toward Beauty Influencer and Micro Influencer and design the online strategies to entice more target customer.
Authors
- Irin Prakobklin