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A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?

机译:销售赔偿的实用方法:我们现在知道什么?我们将来应该知道什么?

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Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization's objectives. Among the various instruments of sales management, compensation plays a pivotal role in motivating and incentivizing sales agents. This monograph reviews the evolution of research in sales compensation and discusses future trends and opportunities. Specifically, it examines the managerial relevance of the theoretical foundations, discussing the underlying reasons for their applicability (or lack thereof) in practice. Furthermore, the monograph surveys recent empirical methods-including field experiments and structural econometrics-that are practical for analyzing sales agents' behavior under various compensation systems. It also discusses prominent areas of future research in the midst of a changing sales environment. In particular, this monograph sheds light on how the use of big data, machine learning, and artificial intelligence can affect sales strategy formulation and, thus, sales compensation systems to better motivate and incentivize an organization's sales force.
机译:个人销售代表了营销组合中最重要的元素之一,适当管理销售部队对于实现本组织的目标至关重要。在销售管理的各种工具中,赔偿在激励和激励销售代理中起着关键作用。本集团审查了销售赔偿研究的演变,并讨论了未来的趋势和机遇。具体而言,它探讨了理论基础的管理相关性,讨论了他们在实践中适用性(或缺乏其)的基本原因。此外,专着调查最近的经验方法 - 包括现场实验和结构计量学 - 这是在各种补偿系统下分析销售代理的行为的实用性。它还讨论了销售环境中未来研究的突出领域。特别是,这一专着揭示了大数据,机器学习和人工智能如何影响销售策略制定,因此销售补偿系统更好地激励和激励组织的销售队伍。

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