Abstract
Websites are the gateway to consumers’ purchasing behavior in all industries, and effective website design greatly contributes to companies’ competitiveness. This tendency is particularly dominant in recruiting human resources. Consumers browse recruitment websites that aggregate information from many companies, then select and apply for jobs. The hypothesis of this study is that the required website elements are different for full-time and part-time job seekers, a topic not extensively discussed in studies. To this end, an online survey was conducted with men and women in their 20s to 50s, who found employment through a recruitment website in Japan. The sample size was 1,000 for each employment type. Gender and age were sampled according to demographic statistics. Factors contributing to the recommendation intention were evaluated using the logistic regression model. As a result, “detailed search according to experience/skills” and “security of personal information” for full-time jobs, and “easy registration/application” and “amount of photos in job information” in the part-time were extracted. The former should emphasize recruitment of suitable candidates, and the latter should emphasize ease of use. If companies are unaware of the important elements, information is congested, making the website difficult to use. It is important to design such websites based on the implications of this study, as consumers will immediately discontinue using the service if they find it unsuitable.
Author Information
Takumi Kato, Saitama University, Japan
Paper Information
Conference: ACBPP2020
Stream: Business Administration and Business Economics; Marketing; Accounting
This paper is part of the ACBPP2020 Conference Proceedings (View)
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To cite this article:
Kato T. (2020) Factors Contributing to Recommendation Intention on Full-time and Part-time Job Websites ISSN: 2189-1001 –The Asian Conference on Business and Public Policy 2020: Official Conference Proceedings (pp. 25-37) https://doi.org/10.22492/issn.2189-1001.2020.3
To link to this article: https://doi.org/10.22492/issn.2189-1001.2020.3
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