arXiv subjects

Kazuyoshi Ishimura

Publications and source records attributed to Kazuyoshi Ishimura.

4 recordsLinked to original sources

arXiv2023

How to maintain compliance among host country employees who are less anxious after strict government regulations are lifted: An attempt to apply conservation of resources theory to the workplace amid the still-unending COVID-19 pandemic

Design/methodology/approach We compared the awareness of 813 people in Wuhan city from January to March 2023 (Wuhan 2023) and 2,973 people in East and South China from February to May 2020 (China 2020) using responses to questionnaires conducted at Japanese local subsidiaries during each period. Purpose As the coronavirus pandemic becomes less terrifying than before, there is a trend in countries around the world to abolish strict behavioral restrictions imposed by governments. How should overseas subsidiaries change the way they manage human resources in response to these system changes? To find an answer to this question, this paper examines what changes occurred in the mindset of employees working at local subsidiaries after the government's strict behavioral restrictions were introduced and lifted during the COVID-19 pandemic. Findings The results showed that the analytical model based on conservation of resources (COR) theory can be applied to both China 2020 and Wuhan 2023. However, the relationship between anxiety, fatigue, compliance, turnover intention, and psychological and social resources of employees working at local subsidiaries changed after the initiation and removal of government behavioral restrictions during the pandemic, indicating that managers need to adjust their human resource management practices in response to these changes. Originality/value This is the first study that compares data after the start of government regulations and data after the regulations were lifted. Therefore, this research proposes a new analytical framework that companies, especially foreign-affiliated companies that lack local information, can refer to respond appropriately to disasters, which expand damage while changing its nature and influence while anticipating changes in employee awareness.

econ.GN↗

arXiv2020

Social capital and resilience make an employee cooperate for coronavirus measures and lower his/her turnover intention

An important theme is how to maximize the cooperation of employees when dealing with crisis measures taken by the company. Therefore, to find out what kind of employees have cooperated with the company's measures in the current corona (COVID-19) crisis, and what effect the cooperation has had to these employees/companies to get hints for preparing for the next crisis, the pass analysis was carried out using awareness data obtained from a questionnaire survey conducted on 2,973 employees of Japanese companies in China. The results showed that employees with higher social capital and resilience were more supportive of the company's measures against corona and that employees who were more supportive of corona measures were less likely to leave their jobs. However, regarding fatigue and anxiety about the corona felt by employees, it was shown that it not only works to support cooperation in corona countermeasures but also enhances the turnover intention. This means that just by raising the anxiety of employees, even if a company achieves the short-term goal of having them cooperate with the company's countermeasures against corona, it may not reach the longer-term goal by making them increase their intention to leave. It is important for employees to be aware of the crisis and to fear it properly. But more than that, it should be possible for the company to help employees stay resilient, build good relationships with them, and increase their social capital to make them support crisis measurement of the company most effectively while keeping their turnover intention low.

econ.GN↗

arXiv2019

A practical method for estimating coupling functions in complex dynamical systems

A foremost challenge in modern network science is the inverse problem of reconstruction (inference) of coupling equations and network topology from the measurements of the network dynamics. Of particular interest are the methods that can operate on real (empirical) data without interfering with the system. One such earlier attempt (Tokuda et al. 2007 Phys. Rev. Lett.99, 064101) was a method suited for general limit-cycle oscillators, yielding both oscillators' natural frequencies and coupling functions between them (phase equations) from empirically measured time series. The present paper reviews the above method in a way comprehensive to domain-scientists other than physics. It also presents applications of the method to (i) detection of the network connectivity, (ii) inference of the phase sensitivity function, (iii) approximation of the interaction among phase-coherent chaotic oscillators, and (iv) experimental data from a forced Van der Pol electric circuit. This reaffirms the range of applicability of the method for reconstructing coupling functions and makes it accessible to a much wider scientific community.

nlin.CD↗

arXiv2018

Noise-induced Synchronization of Crystal Oscillators

Experimental study on noise-induced synchronization of crystal oscillators is presented. Two types of circuits were constructed: one consists of two Pierce oscillators that were isolated from each other and received a common noise input, while the other is based on a single Pierce oscillator that received a same sequence of noise signal repeatedly. Due to frequency detuning between the two Pierce oscillators, the first circuit showed no clear sign of noise-induced synchronization. The second circuit, on the other hand, generated coherent waveforms between different trials of the same noise injection. The waveform coherence was, however, broken immediately after the noise injection was terminated. Stronger modulation such as the voltage resetting was finally shown to be effective to induce phase shifts, leading to phase-synchronization of the Pierce oscillator. Our study presents a guideline for synchronizing clocks of multiple CPU systems, distributed sensor networks, and other engineering devices.

nlin.AO↗