How does organizational slack influence firm performance? A replication and extension of Peng, Li, Xie, and Su (2010)

Weng, David H.; Yang, Kuo-Pin

doi:10.1007/s10490-022-09842-9

Cited by 2 publications

(1 citation statement)

References 99 publications

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“…First, firms need a certain amount of slack resources to relieve and adapt to the pressure of the external environment, which enhances their external environmental adaptability. Second, the existence of slack resources enhances the flexibility of a firm's decision making; as the resources available to the firm increase, the firm's ability to cope with the complex environment-and thereby achieve its diversified strategic goals-increases, and higher levels of slack resources contribute to providing better conditions for the firm's exploration and innovation [46][47][48]. In addition, slack resources can alleviate internal conflict among the top management of a firm [49].…”

Section: The Moderating Effect Of Slack Resourcesmentioning

confidence: 99%

Artificial Intelligence and Green Total Factor Productivity: The Moderating Effect of Slack Resources

Ying

Cui²,

Jin

2023

Systems

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With the emergence of the digital economy, digital technologies—such as artificial intelligence (AI)—have provided new possibilities for the green development of enterprises. Green total factor productivity is a key indicator of green sustainable development. While traditional total factor productivity does not consider the constraints of natural resources and the environment, green total factor productivity remedies this deficiency by incorporating environmental protection indicators, such as pollutant emissions, into the accounting system. To further clarify the relationship between AI technology and corporate green total factor productivity, this study uses a two-way fixed effects model to examine the impact of AI technology on the corporate green total factor productivity of A-share listed companies in China from 2013 to 2020 while examining how corporate slack resources affect the relationship between the two. The results show that the AI application positively contributes to the green total factor productivity of enterprises. Meanwhile, firms’ absorbed, unabsorbed, and potential slack resources all positively moderate the positive impact of AI technology on firms’ green total factor productivity. This study offers a theoretical basis for a comprehensive understanding of digital technology and enterprises’ green development. It also contributes practical insights for the government to formulate relevant policies and for enterprises to use digital technology to attain green and sustainable development.

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