为组织弹性建立劳动力就业能力管道模型

Victoria Jnitova, K. Joiner, M. Efatmaneshnik, Elizabeth Chang
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引用次数: 0

摘要

大型组织使用内部和外部的方法来教育他们的员工。国防部门的劳动力方法通常是封闭的,特点是在招聘时进入,顺序和等级等级晋升。最近,新兴技术和相关的社会变革步伐要求国防部更多地横向招聘,并将更多的教育外包,包括从头开始和发展。因此,劳动力问题日益复杂,对军事教育决策提出了挑战,要求其增加对组织弹性的关注。建模和仿真(M&S)可以处理混乱的、不明确的问题,并为决策支持和解决问题建立模型。M&S正在国防劳动力就业能力计划中进行探索,以提供对扰动更具弹性的教育,并可以更自信地预测毕业生对教育支持合作的需求。然而,如果M&S对问题所有者在认知上没有用处,那么它的有效使用就会受到影响。提出了建模者和国防教育劳动力管理者之间的一种新的转型方法,并通过两个概念性案例研究加以说明。该方法在业务流程模型符号(BPMN)设计模式和系统动态构建块之间使用基于模块的转换,以减少问题所有者对专业建模者的依赖。这种方法提高了所建议的劳动力教育解决方案的认知有效性,以及劳动力M&S应用程序的共享和重用。任何拥有足够人力资源和系统工程支持的大型组织都可以采用这种新方法来建模和模拟他们的劳动力教育,并检查他们对波动的适应能力。
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Modelling workforce employability pipelines for organisational resilience
Large organisations use both internal and external methods to educate their workforce. Workforce approaches in Defence were usually of a closed nature, characterised by entry at recruitment and sequential and hierarchical rank progression. More recently, emerging technology and the associated pace of societal change has required Defence to recruit more laterally and to outsource more education, both ab initio and development. The growing complexity of workforce problems, therefore, challenges military educational decision making to increase its focus on organisational resilience. Modelling and Simulation (M&S) can take messy, ill-defined problems and build models for decision support and problem-solving. M&S is being explored in Defence workforce employability planning to deliver education that is more resilient to perturbations and can more confidently predict graduate demand for educational support partnering. However, the effective use of M&S can be compromised if it is not cognitively useful for the problem owner. A new transformational approach between the modeller and the managers of Defence educational workforce is proposed and illustrated by two conceptual case studies. The method uses the module-based translation between Business Process Model Notation (BPMN) design patterns and systems dynamics building blocks to reduce the problem owner’s reliance on specialist modellers. This approach increases the cognitive effectiveness of proposed workforce education solutions and the sharing and reuse of workforce M&S applications. Any large organisation with sufficient human resource and systems engineering support could adopt this new approach to model and simulate their workforce education and examine their resilience to fluctuations.
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来源期刊
CiteScore
7.50
自引率
6.10%
发文量
17
审稿时长
15 weeks
期刊介绍: The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering
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