Supervisor-subordinate proactive personality congruence and psychological safety: A signaling theory approach to employee voice behavior

Autor: Scott B. Dust, Xin Qin, Minya Xu, Marco S. DiRenzo
Přispěvatelé: Naval Postgraduate School (U.S.), Business & Public Policy (GSBPP)
Rok vydání: 2019
Předmět:
Zdroj: The Leadership Quarterly. 30:440-453
ISSN: 1048-9843
Popis: The article of record as published may be found at https://doi.org/10.1016/j.leaqua.2019.03.001 Building on person-supervisor fit and signaling theory, this study explores the joint effects (i.e., congruence) of supervisor and subordinate proactive personality on subordinate voice behavior through subordinate perceived psychological safety. We examined our hypotheses using cross-level polynomial regressions and response surface analyses. The results indicated that supervisor-subordinate congruence in proactive personality led to higher levels of subordinate perceived psychological safety. Additionally, subordinates in the congruent dyads with high proactive personalities perceived higher levels of psychological safety than those in the congruent dyads with low proactive personalities. Furthermore, supervisor-subordinate congruence in proactive personality had an indirect effect on voice via subordinate perceived psychological safety. Theoretical implications for proactive personality, voice, and person-supervisor fit literatures are discussed. This study highlights that organizations should focus more on creating conditions, perhaps through supervisor-focused changes, that engender psycho- logical safety as opposed to focusing attention exclusively on proactive traits exhibited by e This research was supported by a grant funded by National Natural Science Foundation of China (Grant No. 10901010), awarded to Dr. Minya Xu, and grants funded by National Natural Science Foundation of China (Grant No. 71872190 and 71502179), Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme (2018), and a Fulbright Scholarship sponsored by the U.S. government, awarded to Dr. Xin Qin. This research also received support from Center for Statistical Science in Peking University, and Key Laboratory of Mathematical Economics and Quantitative Finance (Peking University), Ministry of Education, China. This research was supported by a grant funded by National Natural Science Foundation of China (Grant No. 10901010), awarded to Dr. Minya Xu, and grants funded by National Natural Science Foundation of China (Grant No. 71872190 and 71502179), Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme (2018), and a Fulbright Scholarship sponsored by the U.S. government, awarded to Dr. Xin Qin. This research also received support from Center for Statistical Science in Peking University, and Key Laboratory of Mathematical Economics and Quantitative Finance (Peking University), Ministry of Education, China.
Databáze: OpenAIRE