摘要翻译：
今天的服务公司在一个技术导向和知识密集的环境中运作，同时从日益多样化的人口中招聘和培训个人。由此产生的挑战之一是，通过资源规划和分配过程，确保它们的两个关键资源----技术和劳动力----在战略上保持一致。传统的资源规划和分配的层次决策方法只将技术规划视为战略级决策，而将员工招聘和培训规划视为随后的战术级决策。然而，另外两种决策方法--联合和集成--将劳动力规划提升到与技术规划相同的战略水平。因此，我们通过对联合模型和集成模型进行比较，并根据总成本对基线层次模型进行比较，来研究战略性地调整技术和劳动力决策的影响。数值实验被用来描述在这类服务公司的典型条件下这些方法提供的解决方案的关键特征。我们的结果表明，集成模型在所有条件下都是成本最低的。这是因为综合办法保持了一支人数不多但技术熟练的劳动力队伍，能够以更高的能力操作新的和更先进的技术。然而，联合模型在许多条件下的性价比与集成模型非常接近，并且在计算和管理上更容易实现，使其在许多环境中成为一个很好的选择。本研究所得出的管理见解，可为技术导向及知识密集的服务企业选择适当的决策方法提供有价值的指引。
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英文标题：
《Decision Models for Workforce and Technology Planning in Services》
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作者：
Gang Li, Joy M. Field, Hongxun Jiang, Tian He, Youming Pang
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  Today's service companies operate in a technology-oriented and knowledge-intensive environment while recruiting and training individuals from an increasingly diverse population. One of the resulting challenges is ensuring strategic alignment between their two key resources - technology and workforce - through the resource planning and allocation processes. The traditional hierarchical decision approach to resource planning and allocation considers only technology planning as a strategic-level decision, with workforce recruiting and training planning as a subsequent tactical-level decision. However, two other decision approaches - joint and integrated - elevate workforce planning to the same strategic level as technology planning. Thus we investigate the impact of strategically aligning technology and workforce decisions through the comparison of joint and integrated models to each other and to a baseline hierarchical model in terms of the total cost. Numerical experiments are conducted to characterize key features of solutions provided by these approaches under conditions typically found in this type of service company. Our results show that the integrated model is the lowest cost across all conditions. This is because the integrated approach maintains a small but skilled workforce that can operate new and more advanced technology with higher capacity. However, the cost performance of the joint model is very close to the integrated model under many conditions and is easier to implement computationally and managerially, making it a good choice in many environments. Managerial insights derived from this study can serve as a valuable guide for choosing the proper decision approach for technology-oriented and knowledge-intensive service companies.
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PDF链接：
https://arxiv.org/pdf/1909.12829