Employee well-being in the digital age: Assessing the impacts of a smartphone application in the workplace.

Recently, providing smartphone-based health-improving applications to employees has emerged as a promising strategy for sustaining their well-being. This study estimates the impact of the routine use of an application, introduced in 2020 by a Japanese manufacturing company, on various health-related behaviours and outcomes among employees by exploiting a distinctive large-scale longitudinal dataset and personnel records. The analysis addresses potential selection biases arising from the non-random nature of application usage by employing the instrumental variable approach.

The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial.

Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers' sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment group and a control group, and the treatment group was provided with a noncontact sensing device to visualize their sleep. A smartphone app linked to the device notified them of their sleep data every morning and presented them with advice on behavioral changes to improve their sleep on a weekly basis.

Working from home and productivity under the COVID-19 pandemic: Using survey data of four manufacturing firms.

The coronavirus disease 2019 (COVID-19) pandemic has impacted the world economy in various ways. In particular, the drastic shift to telework has dramatically changed how people work. Whether the new style of working from home (WFH) will remain in our society highly depends on its effects on workers' productivity.

Mental health effects of long work hours, night and weekend work, and short rest periods.

Although the prior literature has examined the relationship between work schedule characteristics and worker mental health, establishing the causal effect of work schedule characteristics is challenging because of endogeneity issues. This paper investigates how various work schedule characteristics affect workers' mental health using employee surveys and actual working hours recorded over seventeen months in a Japanese manufacturing company. Our sample includes 1334 white-collar workers and 786 blue-collar workers observed from 2015 to 2016.