CREAT: Census Research Exploration and Analysis Tool

Making a Motivated Manager: A Census Data Investigation into Efficiency Differences Between Franchisee and Franchisor-Owned Restaurants

January 2016

Working Paper Number:

CES-16-54

Abstract

While there has been significant research on the reasons for franchising, little work has examined the effects of franchising on establishment performance. This paper attempts to fill that gap. We use restricted-access US Census Bureau microdata from the 2007 Census of Retail Trade to examine establishment-level productivity of franchisee- and franchisor-owned restaurants. We do this by employing a two-stage data envelopment analysis model where the first stage uses DEA to measure each establishment's efficiency. The DEA efficiency score is then used as the second-stage dependent variable. The results show a strong and robust effect attributed to franchisee ownership for full service restaurants, but a smaller and insignificant difference for limited service restaurants. We believe the differences in task programability between limited and full service restaurants results in a very different role for managers/franchisees and is the driving factor behind the different results.

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.
:
sale, organizational, establishment, development, consumer, franchising, franchise, franchisor, 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.
:
National Science Foundation, Center for Economic Studies, Ordinary Least Squares, Total Factor Productivity, Census of Retail Trade, Economic Census, American Community Survey, Business Register, United States Census Bureau, International Trade Research Report

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 'Making a Motivated Manager: A Census Data Investigation into Efficiency Differences Between Franchisee and Franchisor-Owned Restaurants' are listed below in order of similarity.