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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新技术企业市场估值的差异影响

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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,我们探讨了三种因素的战略意义 - 通过数据包络分析测量的运行效率;环境可持续性,由新闻周刊的绿色排名代表;和企业声誉,基于财富的世界上最受尊敬的公司列表 - 以及他们与高科技型公司市场估值的关系。特别是,我们估计了这些因素对托宾Q的影响,这代表了一家坚定的整体技术和市场力量,作为反映利益相关者对企业价值的期望的前瞻性市场绩效。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。除了对这些战略因素的相对重要性的调查结果之外,本文的调查结果还表明,反映效率驱动的最佳实践和管理熟练程度的运营效率是一个重要的烟草Q的市场衡量标准的重要决定因素科技产业。使用模型来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互动对托宾Q具有最大的协同效应,其次是声誉和运营效率的互动。我们的研究结果表明,独特性能指标的交互可以提供与不包括交互的模型的洞察力。此外,在可区分能力下发现不同的影响模式是纸张的另一个重要发现。

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