Human Factors in Data Collection Strategies for Durable Socio-technical Systems
The quality of data is a critical issue for the decision support and the management of any socio-technical system or an organization as it represents the foundation of any decision making process.Previous research work established that the quality of data is conditioned by three categories of knowledge: what data to collect,how to collect and why that data is needed.Therefore,data collection process must be conducted according to the objectives of the socio-technical system.The result relies on the skills and motivation of data collection operators.This process becomes more complicated for durable and complex socio-technical systems such as organizations,due to their long lifetime.The data collection designed for such a system must consider the evolution of the objectives and the turnover of the operators or employees.How to provide good quality data for this kind of systems? This paper addresses this question and proposes a framework for sustainable data collection based on ISO 9001 standard.This framework is tested within a public high education organization and the results are promising.
Data Collection Process Durable Systems Human Aspects ISO 9001 Standard
Alexandre SAVA
Ecole Nationale dIngénieurs de Metz/LCOMS,1,Route dArs Laquenexy,57078 Metz,France
国际会议
The 5th International Conference on Mechanical Engineering and Mechanics(第五届国际机械工程与力学会议)
江苏扬州
英文
2-11
2014-08-21（万方平台首次上网日期，不代表论文的发表时间）