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Attention to Whom? AI Adoption and Corporate Social Responsibility Toward Human Employees
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DOI：10.1017/mor.2025.10123.png)
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Abstract
En 中文
The rapid evolution of artificial intelligence (AI) has profoundly reconfigured the contemporary workplace; redefining the interactions among human employees; AI systems; and organizational processes. Yet; most research adopts a tool-centric view; overlooking how AI’s emergence as an alternative working agent reshapes managerial attention and employee welfare. Drawing on the attention-based view (ABV) and a dual-agent model; we theorize that AI adoption activates two opposing mechanisms: a human attention gain mechanism; where collaboration needs heightened focus on employees and increased employee-related corporate social responsibility (ECSR); and an AI attention shift mechanism; where deep AI embedding redirects attention toward AI; suppressing ECSR. Using panel data from 2575 Chinese listed firms (2013–2023); we find an inverted U-shaped relationship between AI adoption and ECSR. Moreover; industry AI substitution risk sharpens and left-shifts this curve; while top management team (TMT) functional diversity and employee stock ownership flattens and right-shifts it. These findings advance research on AI adoption; managerial attention; and employee-focused CSR by illuminating how attention allocation in dual-agent contexts shapes ethical and strategic outcomes; offering actionable insights for balancing human–AI integration with sustained employee welfare.
Keywords:
AI-human relationship
artificial intelligence
attention-based view
CSR
ECSR
人工智能
企业社会责任
员工相关企业社会责任
注意力视角
人类与AI关系
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