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Task assignment to distributed teams based on a qualitative multi-criteria approach

机译:基于定性多准则方法的分布式团队任务分配

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The high growth of companies in recent years has caused the transformation of local markets into global ones. The software industry is not stranger to this transformation and has been looking for effective ways to work in a distributed scenario. A critical activity in distributed projects concerns the assignment of tasks to remote teams. This is a multicriteria decision-making problem and can be supported by Verbal Decision Analysis approaches. This paper describes an approach based on Verbal Decision Analysis methods to aid decision on factors that influence the assignment of tasks to distrubuted teams. The approach is based on the ORCLASS and ZAPROS III-i methods. The first results showed that factors such as "low turnover rate" and "team maturity" are among those considered more important, and the factors "personal trust", "low labor cost", "cultural similarities" and "time zone" were considered less relevant in DSD context.
机译:近年来,公司的高速增长已导致本地市场向全球市场的转变。软件行业对这种转变并不陌生,并且一直在寻找在分布式方案中工作的有效方法。分布式项目中的一项关键活动涉及将任务分配给远程团队。这是一个多准则决策问题,可以由言语决策分析方法来支持。本文介绍了一种基于口头决策分析方法的方法,该方法有助于对影响分配给分散团队的任务的因素进行决策。该方法基于ORCLASS和ZAPROS III-i方法。最初的结果表明,诸如“离职率低”和“团队成熟度”之类的因素更为重要,并考虑了“个人信任”,“劳动力成本低”,“文化相似性”和“时区”等因素。在DSD环境中不太重要。

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