Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 330

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

Buffering and enabling: The impact of interlocking political ties on firm survival and sales growth

Zheng, Weiting, Singh, Kulwant, Mitchell, Will·2015·Strategic Management Journal

Abstract

Several studies suggest that political ties help firms survive or perform but do not examine the boundary conditions concerning which types of firms and which type of ties help firms. We draw from resource dependence and resource‐based theories to argue that political ties can improve both firm survival (labeled “buffering”) and performance (labeled “enabling”), with weaker firms gaining more from buffering and stronger firms gaining more from enabling. We further examine the relative impact of local and central ties. We test our hypotheses on the television manufacturing industry in China between 1993 and 2003. Results demonstrate the buffering roles of political ties, and under narrower conditions, their enabling roles. Local ties account for these outcomes, while central ties do not provide buffering or enabling benefits . Copyright © 2014 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/smj.2301

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Metadata

Authors
Zheng, W., Singh, K., & Mitchell, W.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2014-08-18
Volume
36
Issue
11
Pages
1615-1636
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1906524532
Cited by
330
References
3
FWCI
29.89
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Buffering and enabling: The impact of interlocking political ties on firm survival and sales growth. https://app.cochat.ai/papers/10.1002/smj.2301
The paper
Zheng, W., Singh, K., & Mitchell, W. (2015). Buffering and enabling: The impact of interlocking political ties on firm survival and sales growth. Strategic Management Journal. https://doi.org/10.1002/smj.2301

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.