[The effect of perceived work and organizational chracteristics on psychological distress and intention to quit of information technology professionals].

Purpose: The information technology (IT) and service industry in Japan is known to have many work-related stressors, and requires more effective stress reduction to control an elevated turnover rate and adverse health effects. However, little research has been performed using either individual or organizational outcomes (e.g., psychological distress and intention to quit) to determine micro and macro-level stressors on information technology (IT) professionals. This study aimed to examine the effect of perceived work and organizational characteristics (PWOC) as micro and macro-level stressors on psychological distress and intention to quit, controlling for profitability of the organization and individual characteristics on IT professionals in Japan.

Methods: We conducted a web-based questionnaire at fifty-three Japanese IT-related companies. From May to June of 2003, ten to thirty people from each company, who were chosen according to quota method indicators through the labor unions, voluntarily participated in this study. Participants accessed our webpage, which was designed with a self-administrated questionnaire and was accessible by password. The data they entered were sent to our database automatically. The questionnaire consisted of items concerning socio-demographic status; office size; employment characteristics; work hour characteristics; profitability of the organization; a novel 29-item scale (PWOC); as well as individual characteristics. The response rate was 66% (n = 1049). For the purpose of this study, we analyzed data on an IT engineers' group separately (n = 871).

Results: Hierarchical multiple regression analysis showed that each model explained 23% and 26% of the variance in psychological distress and intention to quit, respectively. PWOC sub-scales, which are related to macro-level stressors (e.g., undeveloped management systems and career and future ambiguity), affect not only psychological distress but also intention to quit. Objective data of macro-level stressors such as increased profitability determine intention to quit, independently controlling for their PWOC. Also, growth need strength was an important personal characteristic for psychological distress. The results allow us to speculate on macro as well as micro-level stressors for ways that organizations might reduce IT professionals' stress and increase their productivity.

Conclusions: This study suggests that macro-level stressors are important factors for psychological distress and intention to quit for IT professionals, as well as micro-level stressors. Since occupational stress is costly in terms of organizational outcomes, further research on occupational stress measuring individual and organizational outcomes both within and beyond the Japanese IT industry should prove useful.