IJSEA Volume 12 Issue 1

Platform Design and Algorithm Tracking for Empirical Analysis of Team Cognition and Enterprise Performance in the Background of Big Data

Jin Xiaolei
10.7753/IJSEA1201.1008
keywords : Platform Design and Algorithm Tracking, Empirical Analysis of Team Cognition and Enterprise Performance, Background of Big Data

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As an important form of organizational decision-making, team decision-making has always been the focus of academic circles. This article discusses the relationship between cognitive characteristics, decision-making process and decision-making performance of team decision-making, and the explicit human capital and implicit human capital of the executive team, which are reflected in the two research levels of external representation and internal drive, affect the formation and development of corporate performance. improve. Combining the two research levels, taking team cognition as a bridge and creatively dividing it into rational cognition and perceptual cognition, a more comprehensive theoretical model of the relationship between human capital and enterprise performance of the executive team is established.
@artical{j1212023ijsea12011008,
Title = "Platform Design and Algorithm Tracking for Empirical Analysis of Team Cognition and Enterprise Performance in the Background of Big Data",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="1",
Pages ="23 - 25",
Year = "2023",
Authors ="Jin Xiaolei"}