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Task Assignment to Distributed Teams Based on a Qualitative Multi-criteria Approach

机译:基于定性多标准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:近年来公司的高增长导致当地市场转变为全球。软件行业对此转型并不陌生,并一直在寻找在分布式场景中工作的有效方法。分布式项目中的关键活动涉及向远程团队分配任务。这是一个多标准决策问题,可以通过言语决策分析方法来支持。本文介绍了一种基于言语决策分析方法的方法,以帮助决定影响任务分配对被审议的团队的因素。该方法基于Orclass和Zapros III-I方法。第一个结果表明,诸如“低收入率”和“团队成熟度”之类的因素被认为是“个人信任”,“低劳动力成本”,“文化相似之处”和“时区”的因素。在DSD上下文中较少。

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