CREAT: Census Research Exploration and Analysis Tool

Survival Patterns Among Newcomers to Franchising

January 1997

Written by: Timothy Bates

Working Paper Number:

CES-97-01

Abstract

This study analyzes survival patterns among franchisee firms and establishments that began operations in 1986 and 1987. Differing methodologies and data bases are utilized to demonstrate that 1) franchises have higher survival rates than independents, and 2) franchises have lower survival rates than independent business formations. Analyses of corporate establishment data generate high franchisee survival rates relative to independents, while analyses of young firm data generate the opposite pattern. In either case, the franchise trait is one of several determinants of survival prospects. The larger-scale, more established firms consistently stay in operation more frequently than smaller-scale, younger firms. Analysis of all corporate establishment restaurant units opened in 1986 or 1987 that use paid employees in 1987 helps to reconcile the seeming inconsistencies reported above. Most of the young franchisee units were not owned by young firms: rather, their parents were multi-establishment franchisees, and most of them were mature firms. Among the true newcomers, franchise survival rates are low; among the entrenched multi-establishment franchisees, survival rates were high.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
profitability, company, corporation, corporate, proprietorship, entrepreneur, establishment, business survival, franchising, franchise, franchisor, franchised businesses, restaurant, customer, franchise establishments

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:
Department of Commerce, Characteristics of Business Owners, Internal Revenue Service, Small Business Administration, Center for Economic Studies, Census of Retail Trade

Similar Working Papers Similarity between working papers are determined by an unsupervised neural network model know as Doc2Vec.

Doc2Vec is a model that represents entire documents as fixed-length vectors, allowing for the capture of semantic meaning in a way that relates to the context of words within the document. The model learns to associate a unique vector with each document while simultaneously learning word vectors, enabling tasks such as document classification, clustering, and similarity detection by preserving the order and structure of words. The document vectors are compared using cosine similarity/distance to determine the most similar working papers. Papers identified with 🔥 are in the top 20% of similarity.

The 10 most similar working papers to the working paper 'Survival Patterns Among Newcomers to Franchising' are listed below in order of similarity.