业务
工作满意度
心理弹性
独创性
工作表现
心理学
弹性(材料科学)
组织绩效
结构方程建模
组织承诺
知识管理
营销
管理
经济
社会心理学
计算机科学
创造力
热力学
物理
机器学习
作者
Ilse María Beuren,Vanderlei dos Santos,Viviane Theiss
标识
DOI:10.1108/ijppm-03-2021-0158
摘要
Purpose This paper aims to analyze the effects of organizational resilience on job satisfaction and business performance in companies that have undergone corporate reorganizations. Design/methodology/approach A survey was carried out on a sample of 102 executives and managers from Brazilian companies that underwent corporate reorganization. The structural equation modeling (SEM) technique was used to test the hypotheses. Findings The results indicate that organizational resilience influences business performance (in the dimensions of economy-financial, customers and processes/learning) and job satisfaction (in the dimensions of financial and personal benefits). However, the relations between job satisfaction and business performance were partial, indicating that satisfaction can affect performance through other variables. Research limitations/implications The main study implication lies on the empirical immersion regarding the effects of active organizational resilience on multi-faceted business performance, to the detriment of only the financial view and on job satisfaction. Practical implications The distinct effects of resilience on business performance and job satisfaction provide managers with insight into how to allocate resources, in order to benefit the interests of both employer and employee. Originality/value This is one of the first studies to provide empirical evidence of the effects of active organizational resilience on multi-dimensional business performance. The results provide new insights into this relationship and may clarify divergent results found in the literature. It also provides evidence of the effects of active organizational resilience on job satisfaction in companies that have undergone corporate reorganizations, events that are supposed to require resilient skills.
科研通智能强力驱动
Strongly Powered by AbleSci AI