The employee-generated online review data has emerged as a critical resource for disseminating internal company information to potential employees (i.e., job seekers), thereby reducing information asymmetry. This has enhanced the matching efficiency between companies and job seekers. We gathered employee review data from 1,041 companies from JobPlanet and JobKorea, job search platforms in South Korea. The dataset encompasses numerical scores reflecting employee satisfaction and overall corporate evaluation, along with company profiles detailing employee numbers, revenue, business type, industry, and salary data. This study focuses on analyzing the impact of online review data on the recruitment performance of companies.

With video marketing platforms growing rapidly, brands create YouTube channels to distribute their content and communicate with customers. This study proposes a prediction model analyzing 16,278 image data sets collected based on 153 brand channels generated before September 26, 2022. We analyze the factors affecting the number of image views of brand channels using the data set, and constructs a view prediction model. The study found that the characteristics of the thumbnail image, offline top brand characteristics, and the size of the channel (number of subscribers, number of channel videos) affect YouTube’s top online channel views. The results of the study make it possible to predict branded content before uploading it, and it can help the brand for planning content production and marketing activities through YouTube.

Music videos are one of the most important factors for stakeholders in the music industry.