IT再培训的动机模型

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Sherry D. Ryan
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引用次数: 17

摘要

随着IT变革的加速,许多信息技术IT专业人员的技能组合正变得过时。组织正在重新培训许多具有遗留系统技能的软件开发人员,使其具备新的基于internet的、客户机-服务器和面向对象范例所需的技能。这种再培训不是渐进式的,而是需要认知、方法和程序上的重大转变。考虑到培训的重要性、成本和流通,应该考虑影响培训有效性的过程。受训者的动机就是这样一个应该被研究的过程,因为它比其他方面(如受训者的认知能力)更具可塑性。本文提出了一个信息技术再培训背景下的动机意向和前因模型。介绍了该模型的理论背景。此外,本文还讨论了该模型的意义及其在影响动机意图和最终改善再培训结果方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model of the motivation for IT retraining
The skill-sets of many information technology IT professionals are becoming obsolete as IT changes accelerate. Organizations are retraining many software developers with legacy systems skills to skills required in the new Internet-based, client-server and object-oriented paradigms. This type of retraining is not incremental, but entails major cognitive, methodological and procedural shifts. Given its importance, cost, and currency, processes that impact the effectiveness of training should be considered. Trainee motivation is one such process that should be investigated because it is more malleable than other aspects, such as trainees' cognitive ability. This paper proposes a model of motivational intentions and antecedents in this information technology retraining context. Theoretical background for the model is described. In addition, the implications of the model and its potential utilization in influencing motivational intentions, and ultimately improving retraining outcomes is discussed.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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