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From attention to action: differential effects of positive and negative media coverage of digital technology on corporate giving

Feng Wang et al.

Marketing Intelligence & Planning2026https://doi.org/10.1108/mip-05-2025-0396article
AJG 1ABDC A
Weight
0.50

Abstract

Purpose While prior research has primarily emphasized the efficiency gains enabled by digital technologies, relatively little attention has been paid to media sentiment toward them. This study aims to examine how positive and negative media coverage of digital technology affects corporate giving, uncovering a critical tension between firms’ legitimacy-seeking and efficiency-oriented motivations in the digital era. Design/methodology/approach Using a panel dataset of Chinese-listed manufacturing firms from 2007 to 2021, we examine the impact of media sentiment (positive and negative) toward digital technology on corporate giving. We further explore the moderating effects of firm profitability and visibility. Findings The results indicate that positive media coverage of digital technology promotes corporate giving, particularly for firms characterized by lower profitability or higher visibility. In contrast, negative media coverage reduces corporate giving, with firm profitability mitigating and visibility amplifying this adverse effect. Originality/value This study shifts the focus from internal efficiency gains to external legitimacy pressures by highlighting how public narratives about digital technology influence corporate social behavior. It contributes to the literature on digital technology and corporate giving by uncovering how media attention, both positive and negative, can act as a critical driver of corporate giving, with their effects contingent on firm-specific characteristics.

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https://doi.org/https://doi.org/10.1108/mip-05-2025-0396

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@article{feng2026,
  title        = {{From attention to action: differential effects of positive and negative media coverage of digital technology on corporate giving}},
  author       = {Feng Wang et al.},
  journal      = {Marketing Intelligence & Planning},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/mip-05-2025-0396},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.