Work exhaustion has become one of the main job stressors that leads to dissatisfaction and worker turnover. To retain IT talent, managers seek ways to reduce stress, such as lowering workload or increasing monetary compensation. In this paper, we explore work exhaustion in a developing country to examine antecedents and mitigating factors for work exhaustion. Using a survey of 289 IT professionals in Vietnam, a developing country with high turnover rates and limited IT resources devoted to talent retention, we test how job demands and workplace preferences impact work exhaustion. The findings show that a preference for strong workplace structure suppresses workers’ perceptions of work overload and work/home conflict. Additionally, preference for strong workplace autonomy surprisingly amplifies perceived work overload and has no impact on work/home conflict. Our findings suggest the importance of workplace characteristics as well as IT occupational culture in mitigating work exhaustion for IT employees.

This article develops a stochastic update propagation method for an operational data store (ODS) in data warehousing (DW) environments where data storage (and retrieval) is required as a sum of data at distributed source nodes. The authors' proposed method results in less network traffic (as compared with the real-time method) due to update propagation required because of changes in source data. More importantly, the method allows system users to place limits on the discrepancy between the source data and the ODS data that could result due to a time lag between source data changes and the update operation. Finally, the pre-specified limits on the discrepancy are maintained while accounting for two crucial factors in distributed systems: 1) some nodes are situated on more congested network links, and 2) some of the links on the network are less reliable. Real-time data propagation does not account for these frequently encountered networking concerns.