Dissertation Research: Organizational Structure and Training Strategies: The Effect of Organizational Characteristics on Employee Training

9600187这篇博士论文改进建议考察了组织和环境因素对雇主在员工培训方面的投资的影响。假设培训时数和提供/参加的培训课程数量与分支机构规模、环境复杂性、劳动力市场竞争和利润呈正相关。调查人员将研究一家大型营利性公司及其附属公司，以及这些附属公司内的500名员工。该组织各分支机构的多样性和地理上的分散性将使调查员能够探索分支机构特定的组织特征如何影响培训的过程和结果。将调查的三个基本问题是：(1)组织的环境和结构对组织提供的员工培训量有什么影响？(2)这些特征如何影响培训部门的结构？组织结构、环境、员工个体特征与不同特征员工接受培训的数量和类型有何关系？这项研究将为组织社会学中的理论和实证辩论以及组织和政府的培训政策提供信息。数据将通过对个别员工的调查、深度访谈、档案来源和参与者观察来收集。将使用多层次统计技术分析组织和个人一级的数据。

9600187 Reskin This doctoral dissertation improvement proposal examines the effects of organizational and environmental factors on employers' investments in employee training. It is hypothesized that the amount of training hours and the number of training courses offered/ taken are positively related to affiliate size, environmental complexity, labor market competition, and profits. The investigator will study a large for-profit corporation, its affiliates, and 500 employees within these affiliates. The diverse and geographically dispersed affiliates of this organization will permit the investigator to explore how affiliate-specific organizational characteristics affect the process and outcomes of training. The three basic questions that will be investigated are: (1) What effect does an organization's environment and structure have on the amount of employee training the organization provides?, (2) How do these features influence the structure of the training department? and (3) What is the relationship between the organizational structure, environment, characteristics of individual employees and the amounts and type of training that employees with different characteristics receive? This research will inform theoretical and empirical debate in the sociology of organizations as well as orgnizational and governmental training policies. %%% Data will be collected through surveys of individual employees, in-depth interviews, archival sources, and participant observation. Organizational- and individual- level data will be analyzed using multi-level statistical techniques.