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Innovation Gene: The Unlocking Way to Improve Performance in High-tech enterprises

  • Jing Gao
  • , Huiru Zhang
  • , Tao Guan*
  • *Corresponding author for this work
  • Harbin University of Science and Technology
  • Business School, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Innovation is the key to the sustainable development of enterprises, and the innovation ability is deeply rooted in the genes of enterprises, which is the foundation and core of enterprises’ innovation activities. This paper deconstructed the capability of enterprise innovation genes, took the high-tech enterprises from 2010 to 2023 as a sample, and constructed regression model, mediation model and moderating model to study the genetic and variation effects of innovation genes on enterprise performance. Studies have shown that innovation genes can be efficiently expressed into corporate performance, and absorbed slack resources can catalyze this process. In addition, innovation genes can also improve corporate performance through variation. Based on this, this paper puts forward targeted strategies to improve enterprise performance.

Original languageEnglish
Title of host publicationProceedings of 2025 4th International Conference on Big Data, Information and Computer Network, BDICN 2025
PublisherAssociation for Computing Machinery, Inc
Pages190-196
Number of pages7
ISBN (Electronic)9798400712425
DOIs
StatePublished - 27 May 2025
Externally publishedYes
Event4th International Conference on Big Data, Information and Computer Network, BDICN 2025 - Guangzhou, China
Duration: 10 Jan 202512 Jan 2025

Publication series

NameProceedings of 2025 4th International Conference on Big Data, Information and Computer Network, BDICN 2025

Conference

Conference4th International Conference on Big Data, Information and Computer Network, BDICN 2025
Country/TerritoryChina
CityGuangzhou
Period10/01/2512/01/25

Keywords

  • absorbed slack resources
  • firm performance
  • genetic variation
  • innovation genes

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