Regional economic status inference from information flow and talent mobility

Novel data has been leveraged to estimate socioeconomic status in a timely manner, however, direct comparison on the use of social relations and talent movements remains rare. In this letter, we estimate the regional economic status based on the structural features of the two networks. One is the online information flow network built on the following relations on social media, and the other is the offline talent mobility network built on the anonymized resume data of job seekers with higher education. We find that while the structural features of both networks are relevant to economic status, the talent mobility network in a relatively smaller size exhibits a stronger predictive power for the gross domestic product (GDP). In particular, a composite index of structural features can explain up to about 84% of the variance in GDP. The result suggests future socioeconomic studies to pay more attention to the cost-effective talent mobility data.Comment: 7 pages, 5 figures, 2 table

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Women\u27s Work-Life Balance in Hospitality: Examining Its Impact on Organizational Commitment

Women account for a large proportion of the hotel industry. Work-life conflict has become one of the main obstacles to the organizational commitment of women. Thus, this study investigates the relationship for women between work-life balance, as an independent variable, and organizational commitment, as a dependent variable. Specifically, we examine women\u27s work-life balance in the hospitality industry and compare women\u27s organizational commitment under different levels of work-life balance. Then, we assess whether women\u27s work-life balance and organizational commitment are associated with their sociodemographic characteristics (i.e., age, education, working years, and position level). Data were collected from 525 women employees in China. Multiple linear regression analyses were conducted to identify the relationship between work-life balance and organizational commitment. The results showed that work-life balance had a significant effect on organizational commitment. There was also a significant relationship between women\u27s sociodemographic characteristics, work-life balance, and organizational commitment