CAREER: IT Personnel Transition and Organization Transition Strategy

职业：IT 人员转型和组织转型策略

• 批准号: 0228982
• 负责人: Kay Nelson
• 金额: $ 19.82万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-15 至 2006-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0228982&HistoricalAwards=false
• 关键词: CAREER; Personnel; Transition; Organization; Strategy

This research proposes to identify and validate constructs associated with the successful transition of IT professionals (within companies whose main products or services are not software or IT services)in response to changing demands. Such companies are moving from legacy system technology to distributed and advanced technology; from ad hoc work practices to software engineering discipline; and from work products "thrown over the wall" to products developed with in-house customers as full participants and business partners. Because IT professionals are in short supply, the successful transition of existing employees is especially important, yet the dramatic and discontinuous change companies and their IT personnel face render prior work on retraining and retention of employees less useful. Both quantitative and qualitative methods will be employed, so that managerial and organizational contexts can also be assessed, and new factors and relationships can be uncovered through causal mapping. Operationalization of the dependent construct, Achievement in the transition role, will be drawn from the case studies. Survey instruments will be used to capture longitudinal change information and either verify or disconfirm the model developed in earlier stages of the research.

这项研究建议识别和验证与IT专业人员(在其主要产品或服务不是软件或IT服务的公司内)成功过渡相关的结构，以响应不断变化的需求。这些公司正在从遗留的系统技术转向分布式和先进的技术；从临时工作实践转向软件工程纪律；从“被扔过墙”的工作产品转向与内部客户一起开发的产品，作为完全参与者和业务合作伙伴。由于IT专业人员供不应求，现有员工的成功过渡尤为重要，但公司及其IT人员面临的戏剧性和不连续的变化使之前在再培训和留住员工方面的工作变得不那么有用。将采用定量和定性方法，以便也可以评估管理和组织背景，并通过因果关系图发现新的因素和关系。从属结构的可操作性，即过渡作用的成就，将从案例研究中得出结论。调查工具将被用来捕捉纵向变化信息，并验证或不证实在研究的早期阶段开发的模型。