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Cited by 204

The DOI matches its OpenAlex record; 3 of the 3 references it cites were found in a registry or an index.

Salient stakeholder voices: Family business and green innovation adoption

Yi‐Chun Huang, Hung-Bin Ding, Ming-Rea Kao·2009·Journal of Management & Organization

Abstract

Abstract One striking finding from recent natural environmental management research is that family firms are more likely to engage in environmentally friendly practices. However, the source of such difference is less clear. The primary objective of our research is to investigate if family firms react to stakeholder pressures differently when making natural environmental management decisions. We survey 235 manufacturing firms from the chemical, and the electronic and information technology industries in Taiwan to test our hypotheses. The results of regression analysis show that family firms pay much more attention to their internal stakeholders than non-family firms. This finding complements the current discussions on family business uniqueness. It also contributes to provide a more comprehensive framework of stakeholder salience.

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OpenAlex · 10.1017/s1833367200002649

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Metadata

Authors
Huang, Y., Ding, H.-B., & Kao, M.-R.
Venue
Journal of Management & Organization
Publisher
Cambridge University Press
Published
2009-07-01
Volume
15
Issue
3
Pages
309-326
ISSN
1324-3209 (ISSN-L)
OpenAlex
W2154620941
Cited by
204
References
3
FWCI
9.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Salient stakeholder voices: Family business and green innovation adoption. https://app.cochat.ai/papers/10.1017/s1833367200002649
The paper
Huang, Y., Ding, H.-B., & Kao, M.-R. (2009). Salient stakeholder voices: Family business and green innovation adoption. Journal of Management & Organization. https://doi.org/10.1017/s1833367200002649

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.