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
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.
Integrity signals
Registry
Cites
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.
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
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Social Capital: Prospects for a New Concept
Adler, P. S., & Kwon, S.-W. (2002) · The Academy of Management Review · doi:10.2307/4134367 · Cited by 9,665
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.