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Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms

机译:探索环境可持续性,运营效率和企业声誉对高科技公司的市场价值的不同影响

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In this paper, we explore the strategic significance of three factors - operational efficiency, measured by data envelope analysis; environmental sustainability, represented by Newsweek's Green Rankings; and corporate reputation, based on Fortune's list of most admired companies in the world -and their relationship to the market valuation of high-tech-oriented companies. In particular, we estimate the impact of these factors on Tobin's Q, which represents the overall technological and market strength of a firm as a forward-looking market performance reflecting stakeholders' expectations of the value of a firm. Using complementary regression and a neural network approach, we find that operational efficiency has the largest impact on Tobin's Q, followed by corporate reputation and environmental sustainability. In addition to its findings on the relative importance of these strategic factors, the paper's findings also suggest that operational efficiency, which reflects efficiency-driven best practice and managerial proficiency, is a crucial determinant of the market-facing measure of Tobin's Q in high-tech industries. Using models to estimate the interaction between these variables, we find that environmental sustainability and its interaction with reputation has the largest synergistic effect on Tobin's Q, followed by the interaction of reputation and operational efficiency. Our results show that the interaction of unique performance metrics can provide insights that differ from those derived from models for which the interaction is not included. Furthermore, the discovery of varying impact patterns under distinguishable capabilities is another significant finding of the paper.
机译:在本文中,我们探讨了三个因素的战略意义-运营效率,通过数据包络分析衡量;以《新闻周刊》的绿色排名为代表的环境可持续性;和企业声誉,基于《财富》杂志评选的全球最受尊敬的公司,以及它们与高科技公司的市场价值之间的关系。特别是,我们估计了这些因素对托宾Q的影响,托宾Q代表了公司的整体技术和市场实力,是前瞻性市场表现,反映了利益相关者对公司价值的期望。使用互补回归和神经网络方法,我们发现运营效率对托宾Q的影响最大,其次是企业声誉和环境可持续性。除了关于这些战略因素相对重要性的发现之外,该论文的发现还表明,反映效率驱动的最佳实践和管理能力的运营效率,是决定Tobin Q在高市场中面对市场的指标的关键决定因素。科技产业。使用模型估计这些变量之间的相互作用,我们发现环境可持续性及其与声誉的相互作用对托宾Q的影响最大,其次是声誉与运营效率的相互作用。我们的结果表明,独特性能指标的交互作用可以提供不同于从不包括交互作用的模型得出的见解的见解。此外,在可区分的能力下发现变化的影响模式是论文的另一个重要发现。

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