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If Higher Pay Is Profitable, Why Is It So Rare? Modeling Competing Strategies in Mass Market Services

机译:如果薪酬更高,为什么它如此罕见?大众市场服务中的竞争策略建模

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Several case studies suggest that firms targeting mass market services can align profitability with jobs offering a living wage, stable schedules, and engaging work. Yet, few do. To understand this puzzle, we draw on theories of firms as systems of interdependent choices. Building on a few cases, we map the processes connecting managerial choice to performance and formalize the resulting performance landscape. In a strategy space defined by two dimensions-task richness and compensation-two local profitability peaks emerge: one with low compensation and low task richness and one with high compensation and high task richness. The bimodal landscape results from complementarity among choices and is robust when the strategy space is expanded from two to six dimensions and under many alternative parameterizations. Exploring how firms discover, move to, and remain at the high-compensation-high-task richness peak, we find three challenges to this strategy: (a) contextuality-adoption, imitation, and replication are harder for strategies that rely on interdependences among components and thus, require significant customization for each context; (b) temporal complexity-strategies depending on long-term and synergistic investments and slow-moving reinforcing feedbacks are hard to learn owing to misleading performance feedback; and (c) variable demand with no inventory buffers-efforts to adjust labor supply to highly variable demand in services often lead to unstable schedules given with short notice that drive quality employees away and compromise the strategy. These mechanisms can undermine promising strategies even if the actual performance landscape includes a small number of local peaks.
机译:几项案例研究表明,目标瞄准大众市场服务的公司可以将盈利能力与提供生活工资,稳定的时间表和吸引力的工作。然而,很少有。要了解这个难题,我们将公司的理论借鉴了相互依存的选择。在少数情况下,我们将连接管理选择连接到性能的过程并正式地映射结果的性能景观。在由两个维度定义的战略空间中 - 任务丰富和补偿 - 两种局部盈利能力峰值出现:一个具有低补偿和低任务丰富的奖金,以及具有高补偿和高负担高度的特性。双峰景观是由选择之间的互补性产生,并且当策略空间从两到六个维度和许多替代参数化扩展时是强大的。探索公司如何发现,搬到和留在高补偿高度丰富的高峰期,我们发现这一战略的三个挑战:(a)上下文采用,模仿和复制更难依赖相互依存的策略组件,因此需要对每个上下文进行重大定制; (b)由于误导性表现反馈,根据长期和协同投资和缓慢增强反馈的时间复杂性 - 策略难以理解; (c)无需库存缓冲区的变量需求 - 以在服务中调整劳动力对高度变量的需求的努力通常会导致不稳定的时间表,短暂的通知,推动优质员工的员工,并妥协策略。即使实际的性能景观包括少量当地峰值,这些机制也会受到承诺的策略。

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