Developing a Behavioral Science-Based Management Model: Based on Self-Deprecation and "Lying Flat" in Generation Z

With Generation Z eventually becoming the predominant workforce, their corresponding patterns of behavior are starting to have greater effects on standard management paradigms. The self-criticism and "lying flat" ideology that Generation Z employees are expressing function as a challenge to conventional management methods. These behaviors stem from social and psychological factors, influenced by an era marked by widespread uncertainty and economic challenges. However, the theories surrounding these behavioral traits often lack sufficient empirical evidence. This paper, grounded in behavioral science, uses historical data and future trends related to birth rates and student populations in China to explore the psychological mechanisms behind these traits. It aims to construct a Flexible-Differentiated management model that integrates independent, dependent, mediating, and moderating variables to systematically understand the impact of these behaviors on organizational effectiveness. Drawing upon a comprehensive review of the literature and empirical evidence, this paper offers theoretical foundations and practical actions for organizations seeking to leverage the potential of Generation Z employees.

Authors

Institutions

Publication Details

Journal
Modern Economics & Management Forum
Published
2024-10-31
DOI
https://doi.org/10.32629/memf.v5i5.2850
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a Behavioral Science-Based Management Model: Based on Self-Deprecation and "Lying Flat" in Generation Z

Hong Yan
Modern Economics & Management Forum
Diverse Topics in Contemporary Research
article

Developing a Behavioral Science-Based Management Model: Based on Self-Deprecation and "Lying Flat" in Generation Z

Hong Yan
article en

Abstract

With Generation Z eventually becoming the predominant workforce, their corresponding patterns of behavior are starting to have greater effects on standard management paradigms. The self-criticism and "lying flat" ideology that Generation Z employees are expressing function as a challenge to conventional management methods. These behaviors stem from social and psychological factors, influenced by an era marked by widespread uncertainty and economic challenges. However, the theories surrounding these behavioral traits often lack sufficient empirical evidence. This paper, grounded in behavioral science, uses historical data and future trends related to birth rates and student populations in China to explore the psychological mechanisms behind these traits. It aims to construct a Flexible-Differentiated management model that integrates independent, dependent, mediating, and moderating variables to systematically understand the impact of these behaviors on organizational effectiveness. Drawing upon a comprehensive review of the literature and empirical evidence, this paper offers theoretical foundations and practical actions for organizations seeking to leverage the potential of Generation Z employees.

Modern Economics & Management ForumVol. 5(5)
Shaanxi Science and Technology Department (CN), Shaanxi University of Science and Technology (CN)
Openalex Percentile: Top 68%
Diverse Topics in Contemporary Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing a Behavioral Science-Based Management Model: Based on Self-Deprecation and "Lying Flat" in Generation Z — Hong Yan · Modern Economics & Management Forum (2024) | TGRS Research Map | TGRS