IS Atlas
jmr·2015년 7월 27일

Can Sales Uncertainty Increase Firm Profits?

Niladri Syam, James D. Hess, Ying Yang

Journal of Marketing Research

21
피인용
2.1
FWCI
3
IS/마케팅/OM 탑저널 피인용
25
IS/마케팅/OM 탑저널 참고문헌
01Abstract

The authors add to the sales management literature in three ways. First, they demonstrate that a firm can benefit from higher sales uncertainty. This is contrary to the finding from the standard principal–agent models that more sales uncertainty hurts the firm when agents are risk-averse. Second, the authors find that the risk-averse agent's total pay can increase when there is high sales uncertainty, and this too is contrary to the standard principal–agent model. Third, they provide intuition for this surprising result by showing that it holds when the slope of the sales response function is random but not when the intercept is random. When the responsiveness (slope) of sales to a decision variable (of the firm or the agent) is random, information about randomness becomes decision-relevant and the firm can exploit learned information. In this study's model, the agent and firm can receive noisy signals of random demand. When the customers’ response to effort (or price) is random, the decision about effort (price) responds optimally to information in a way that benefits the firm. When uncertainty is high, there is more potential information for the firm to exploit profitably, owing to the convexity of the sales with respect to the uncertainty parameter. This is enough to dominate the negative impact of uncertainty owing to agents’ risk aversion. When randomness affects only baseline sales (intercept), received signals are not decision-relevant. In that case, higher uncertainty has only a negative impact, just as in standard principal–agent models.

02연구 흐름

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03비슷한 논문

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04이후 연구

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05선행 연구

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06서지 정보