TY - JOUR
T1 - Tailoring the weights on objective versus subjective performance measures between top management and middle managers
T2 - Evidence from performance-based equity incentive plans
AU - Chen, Clara Xiaoling
AU - Gao, Yongjing
AU - Wang, Yue
AU - Xue, Shuang
N1 - Funding Information:
We thank Frank Moers (editor), two anonymous reviewers, Isabella Grabner, Jae Yong Shin, Christopher D. Ittner, Qingchuan Hou, workshop participants at the Shanghai University of Finance and Economics, and participants at the 2016 Advances in Management Accounting conference and the 2016 Accounting, Organizations and Society Conference on Quantitative Empirical Research on Management Accounting for helpful comments. We gratefully acknowledge financial support from the National Natural Science Funds of China (No. 71972120, No. 71572102, No. 71872107, No. 71402086, No. 71902110), the Ministry of Education Funds for Key Research Institutes of Humanities and Social Science in Chinese Universities (No. 15JJD630008, No. 16JJD790038), and the program for innovative research team of Shanghai University of Finance and Economics (IRTSHUFE). Clara Xiaoling Chen is grateful for generous financial support from the Lillian and Morrie Moss Professorship, PricewaterhouseCoopers Fellowship, and the Fred and Virginia Roedgers Fellowship. Yue Wang is the corresponding author.
Publisher Copyright:
© 2020, American Accounting Association. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This study examines the determinants of performance measurement tailoring between top management and middle managers in compensation contracts. Theoretically, while tailoring potentially enhances the informativeness of performance measures for top management and middle managers respectively, it may reduce the incentives for the two parties to coordinate with each other. We expect a firm’s decision to tailor performance measurement between top management and middle managers to be driven by this cost-benefit trade-off. Using hand-collected data from performance-based equity incentive plans from Chinese public firms, we find evidence consistent with the predictions derived from our theoretical framework. Specifically, we find that the likelihood that a firm tailors the weights on objective versus subjective performance measures between top and middle managers increases with competition intensity, non-price competition, environmental uncertainty, and CEO power, and decreases with organizational stability and growth opportunity. Furthermore, we find that suboptimal tailoring decisions are associated with higher management turnover.
AB - This study examines the determinants of performance measurement tailoring between top management and middle managers in compensation contracts. Theoretically, while tailoring potentially enhances the informativeness of performance measures for top management and middle managers respectively, it may reduce the incentives for the two parties to coordinate with each other. We expect a firm’s decision to tailor performance measurement between top management and middle managers to be driven by this cost-benefit trade-off. Using hand-collected data from performance-based equity incentive plans from Chinese public firms, we find evidence consistent with the predictions derived from our theoretical framework. Specifically, we find that the likelihood that a firm tailors the weights on objective versus subjective performance measures between top and middle managers increases with competition intensity, non-price competition, environmental uncertainty, and CEO power, and decreases with organizational stability and growth opportunity. Furthermore, we find that suboptimal tailoring decisions are associated with higher management turnover.
KW - Compensation contracts
KW - Incentives
KW - Middle managers
KW - Performance measure weights
KW - Tailoring
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U2 - 10.2308/jmar-18-042
DO - 10.2308/jmar-18-042
M3 - Article
AN - SCOPUS:85096981584
SN - 1049-2127
VL - 32
SP - 49
EP - 70
JO - Journal of Management Accounting Research
JF - Journal of Management Accounting Research
IS - 3
ER -