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Cited by 228

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Founder Characteristics, Start-Up Process, and Strategy/Structure Variables as Predictors of Shortline Railroad Performance

Sapienza, Harry J., Grimm, Curtis M.·1997·Entrepreneurship Theory and Practice

Abstract

This study combined secondary public data and a survey of founders of 70 shortline railroads to examine correlates of shortline railroad performance. Among founder characteristics, general education level of the founder was positively related to goal attainment, while the number of business courses exhibited a curvilinear relationship. Goal attainment was positively related to three strategy/industry structure variables: the percentage of traffic originated locally, the size of the railroad, and the degree to which the firm focused on customer satisfaction. Supplementary analyses on the determinants of firm growth revealed some overlap with and some differences from these results. In general, the study indicates that models of new venture performance should include a comprehensive set of variables and consider the impact of alternative measures of performance.

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Metadata

Authors
Sapienza, H. J., & Grimm, C. M.
Venue
Entrepreneurship Theory and Practice
Published
1997-10
Volume
22
Issue
1
Pages
5-24
ISSN
  • 1042-2587 (ISSN-L)
  • 1540-6520
OpenAlex
W2330545075
Cited by
228
References
5
FWCI
2.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Founder Characteristics, Start-Up Process, and Strategy/Structure Variables as Predictors of Shortline Railroad Performance. https://app.cochat.ai/papers/10.1177/104225879702200101
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Sapienza, H. J., & Grimm, C. M. (1997). Founder Characteristics, Start-Up Process, and Strategy/Structure Variables as Predictors of Shortline Railroad Performance. Entrepreneurship Theory and Practice. https://doi.org/10.1177/104225879702200101

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.