• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>British Journal of Management >Making Boards Effective: An Empirical Examination of Board Task Performance
【24h】

Making Boards Effective: An Empirical Examination of Board Task Performance

机译：提高董事会效率：对董事会任务绩效的实证检验

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Despite the increasing attention of management scholars to boards of directors, there is still scant evidence on the antecedents of board task performance. The lack of significant results seems to be due to some theoretical and methodological choices followed by scholars, i.e. the almost exclusive reliance on agency theory and the use of demographic data. Following the call for dismantling the fortresses dominating past studies, this paper contributes to opening the 'black box' of boards of directors, developing a conceptual model that considers the impact of board members' diversity, commitment and critical debate on board task effectiveness in performing its service and control tasks. We collected primary data through a questionnaire survey, and we tested the model controlling for board, firm and industry characteristics. Our findings suggest that (i) the predictors we identified, and particularly the board members' commitment, are far more important than board demographics to predict board task performance; (ii) firm and industry contexts exert a significant influence on board task performance; (iii) predictors have a different impact on specific sets of tasks. Thus, our findings support the idea that several board characteristics and contingencies at both industry and firm level must be acknowledged in board design.
机译：尽管管理学者越来越关注董事会，但是仍然很少有证据表明董事会任务绩效的前身。缺乏重大结果似乎是由于学者遵循了一些理论和方法选择，即几乎完全依赖代理理论和人口统计学数据的使用。在呼吁拆除主要研究的堡垒之后，本文有助于打开董事会的“黑匣子”，建立一个概念模型，考虑董事会成员的多样性，承诺和关键辩论对董事会工作绩效的影响它的服务和控制任务。我们通过问卷调查收集了主要数据，并测试了控制董事会，公司和行业特征的模型。我们的发现表明：（i）我们确定的预测因素，特别是董事会成员的承诺，比董事会人口统计学要重要得多，以预测董事会的任务绩效; （ii）公司和行业环境对董事会任务绩效产生重大影响; （iii）预测变量对特定任务集有不同的影响。因此，我们的发现支持这样的想法，即在董事会设计中必须承认行业和公司层面的若干董事会特征和突发事件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号