Are all cracks bad? The influences of top management team relationship-related versus task-related demographic faultlines on corporate digital transformation DOI

Min Gong,

Dandan Wang

Business Process Management Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Purpose With the development of digital economy, pressure on firms to transform digitally continues increase. The top management team (TMT) is subject decision-making, and its structure expected influence process outcome corporate transformation. This study aims explore impact TMT transformation from perspectives relationship-related task-related faultlines. Design/methodology/approach obtained 7,510 observations belonging 1,971 publicly listed Chinese manufacturing between 2011 2019. It analyzed above data with ordinary least squares fixed-effects panel regression models used instrumental variables solve potential endogeneity problems. Findings Drawing social categorization theory information processing concept demographic faultlines, we proposed found that (i.e. gender age) faultlines within a may hinder while education level, functional background tenure) have an inverted U-shaped effect In addition, posited confirmed market competition weakens negative but strengthens Originality/value By exploring nuanced roles in transformation, our enriches research antecedents perspective deepens understanding decision for this extends existing claims about contrasting thereby enhancing Further, augments knowledge by revealing dynamics providing supportive evidence positive function firms. also offers managerial guidance digitization practice optimization internal structures TMTs.

Language: Английский

The Role of Carbon Peaking Targets in Urban Green Economic Transition: Insights from U.S. City-Level Climate Action Plans DOI Creative Commons
Nihal Ahmed, Nihal Ahmed, Józef Ober

et al.

Global Transitions, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1

Open government data and green economic growth DOI
Jing Li,

Quan Tianshu,

Qing Han

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: 85, P. 2207 - 2218

Published: March 1, 2025

Language: Английский

Citations

1

Decoding enterprise digital transformation: External oversight and carbon emission reduction performance DOI
Liu Hai-ying, Pengcheng Han,

Dianwu Wang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 359, P. 121039 - 121039

Published: May 1, 2024

Language: Английский

Citations

8

The digital revolution's environmental paradox: Exploring the synergistic effects of pollution and carbon reduction via industrial metamorphosis and displacement DOI
Zihao Li, Tingting Bai, Jingwen Qian

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123528 - 123528

Published: June 26, 2024

Language: Английский

Citations

8

Digital governance and carbon emission reduction: Evidence from “National Pilot Policy of Information Benefiting the People” in China DOI

Chenyu Meng,

Licheng Wang,

Yongsheng Lin

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122179 - 122179

Published: Aug. 11, 2024

Language: Английский

Citations

7

Business Environment Optimization Effects on Enterprise Environmental Protection Investment DOI

Xiaofang Guo,

Sicen Chen,

Chenlan Liu

et al.

Finance research letters, Journal Year: 2024, Volume and Issue: 71, P. 106423 - 106423

Published: Nov. 8, 2024

Language: Английский

Citations

4

Harnessing innovation and data: how do digital M&As fuel new quality productive forces DOI
Jinhua Xu,

J. Zhang,

Xiaoxia Li

et al.

China Finance Review International, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Purpose New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate transformation, understanding their impact on NQPF is essential. This study explores whether M&As enhance firms identifies key mechanisms that drive this effect. Design/methodology/approach investigates the of using a multi-period difference-in-difference (DID) methodology. Analyzing sample Chinese listed from 2011 to 2021, how contribute NQPF, identifying firm innovation data assets as mechanisms. It also examines external factors, such industrial structure, urban human capital policy uncertainty, moderate effect NQPF. Findings The reveals three findings: (1) Digital significantly NQPF; (2) serve through which (3) including amplify positive effects Practical implications Firms should leverage strategic tool improving focusing assets. Policymakers can support transformation by fostering an environment enhances Originality/value paper introduces novel index, offering comprehensive measurement concept. provides new insights into affect filling gap literature actionable recommendations policymakers.

Language: Английский

Citations

0

Multi-dimensional building carbon emissions echelon peak target setting in China based on building types, sources, and indicators DOI
Qiqi Liu, Yuan Liu, Weiguang Cai

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 386, P. 125532 - 125532

Published: Feb. 21, 2025

Language: Английский

Citations

0

The impact and spatial externalities of unstable power supply on the low-carbon transition in China DOI
Zhao Chen, Jian Yu, Peng Liu

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108306 - 108306

Published: Feb. 1, 2025

Language: Английский

Citations

0

Artificial Intelligence Technology, Organizational Learning Capability, and Corporate Innovation Performance: Evidence from Chinese Specialized, Refined, Unique, and Innovative Enterprises DOI Open Access

Shumei Han,

Di Zhang, Hongfeng Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2510 - 2510

Published: March 12, 2025

In the context of global economic digital transformation and technological innovation, application AI Technology has a profound impact on corporate innovation development. Existing research primarily focused direct effect Corporate Innovation Performance, while there is limited exploration its interaction with organizational learning mechanisms. Based Dynamic Capabilities Theory, this study constructs framework “Technology—Individual Learning Capability—Team Capability—Innovation Performance”, analyzing how enhances capabilities to drive improvements in performance explores moderating role Organizational Capability. Through empirical analysis data from Specialized, Refined, Unique, Innovative Enterprises China, finds that significantly Capability playing critical role. Additionally, heterogeneity indicates factors such as production factors, industry characteristics, firm size influence effectiveness enhancing performance. This reveals pathway through which optimizes mechanisms improve performance, offering both theoretical support practical guidance for strategic decision-making.

Language: Английский

Citations

0