Operational Distortion: Compound Effects of Short-Termism and Competition

• 成果类型: Article
• 署名作者: Liu, Xiaoyan; Schmidt, William
• 署名单位: Santa Clara University; Cornell University
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2021.4204
• 发表日期: 2022
• 页码: 5907-5923
• 关键词: operational distortion; short-termism; COMPETITION; information asymmetry; signaling game

摘要

Practitioners and academics alike have argued that a firm's interest in its short-term capital market valuation (short-termism) is harmful to the firm's long-term profit. Their argument is intuitive-when a firm exhibits short-termism, its decision making will cater to the short termat the expense of the long term. Some practitioners claim that the adverse effects of increased short-termism become particularly acute in competitive markets. However, there is little academic research that examines the compound effect of shorttermism and competition on a firm's operational choices and long-term profit. In this paper, we provide a rigorous analytical model to examine how short-termism and competition can interact to induce a firm to distort its capacity investment and affect its long-term profit. We model a firm that has private information about its market demand, which can be either high or low and is captured by the firm's type. Signaling this private information can influence both the investor's valuation and the competitor's entry decision. We find that operational distortion can emerge not only when short-termismis large, but also when it is small. In fact, when short-termismis sufficiently small, both firmtypeswill distort their operational decision by underinvesting in a pooling outcome. We show, however, that the impact of short-termism on a firm's long-term profit is not monotonically negative, and a certain level of short-termism can be beneficial to a firm's long-term profit. The positive impact of incremental short-termism is robust to alternativemodeling assumptions, including the form of competition and the investor's risk profile.