Title: Richard S' Brown
1Franchising as a Strategic Marketing Plan for
Small Entrepreneurs A Test Case of the Real
Estate Brokerage Industry
- Richard S. Brown
- Temple University
- Allied Academies Conference
- Academy of Entrepreneurship
- October 16, 2009
2Itinerary
- Background and Problem Statement
- The Study
- The Industry
- Franchising Literature
- Methodology
- Data
- Hypotheses
- Results
- Future Research and Limitations
3Background
- Franchising is a common theme in many literatures
including Entrepreneurship, Strategy, Marketing
and Economics and each perceives it in a
different light - Most papers look at the Franchisor-Franchisee
dyad to discern some information about the
relationship - This work takes the position from the
entrepreneurs viewpoint in that I ask All
else being equal, does it make economic sense to
become a franchisee in a highly fragmented
industry where this may or may not be an
advantage?
4The Study
- Taking the research question in Slide 3, I test
the performance of real estate brokerage firms in
the marketplace against several performance
measures. - These performance measures, however, are not
measures of profit or revenue as in other papers - I measure variables that matter to both the
firms consumer as well as directly to the firm
in order to test if there is a difference between
firms that stay independent versus firms that
franchise These measures include 1) Days on the
Market, 2) Ratio of Sold Price to Original Price,
3) Original Price and 4) Commission Rate
5The Industry
- Real Estate Brokerage is highly fragmented with
thousands of small firms occupying the space - In my view, Franchising is a mechanism to
consolidate and get instant brand recognition for
small firms in a fragmented industry - Franchising, however, is costly and one may
intuitively expect that small firms that choose
to franchise perform better
6Literature Review
- Although there are many works from Strategy,
Entrepreneurship, Marketing and Economics that
address the Franchising phenomenon (See Full
Paper), there are several works that address it
in the context of real estate brokerage including - 1. Anderson et. al. (1998)study efficiency of
franchised firms versus non-franchised firms - 2. Anderson, Chinloy and Winkler (2007)study
the economic rents of the franchisor-franchisee
relationship - 3. Benjamin et. al. (2007)study the
profitability of franchised versus non-franchised
firms
7Methodology and Data
- Data was retrieved from the Multiple Listing
Service (MLS) of the greater Philadelphia region. - Data included a full listing printout for
properties that sold in Philadelphia county
between June 1, 2009 and June 7, 2009. - The data of interest from the print outs were 1)
Listing Agent Type (1 Franchised 0
Independent), 2) Commission Rate, 3) Days on
Market, 4) Original Price, and 5) Sold Price - N 158 Transactions
8Methodology and Data
- The data were tested three ways with the purpose
of the tests to surmise if there were differences
in performance measures between the two groups
(Franchised vs. Independent) - 1. T-Test
- 2. General Linear Model (GLM)
- a. Y BX E
- 3. Probit Regression
- a. ?-1P(Y1 Xx) B0 B1X1 B2X2
B3X3BpXp
9Hypotheses
- H1 Real estate brokerage firms that are
franchised are significantly different from real
estate brokerage firms that are non-franchised
(i.e. independent) in terms of the amount of Days
on Market (DOM) of the properties that they list
for sale. - H2 Real estate brokerage firms that are
franchised are significantly different from real
estate brokerage firms that are non-franchised
(i.e. independent) in terms of the commission
rate charged to their customers. - H3 Real estate brokerage firms that are
franchised are significantly different from real
estate brokerage firms that are non-franchised
(i.e. independent) in terms of the original price
of homes that they list for sale. - H4 Real estate brokerage firms that are
franchised are significantly different from real
estate brokerage firms that are non-franchised
(i.e. independent) in terms of the ratio of sale
price to original price of homes that they list
for sale.
10Results
- T-Test Results concluded that there were no
significant differences between the two groups
11Results
- The General Linear Model also came up with the
same results. Here, B4 represents that dummy
variable 1Franchised, 0Independent
12Results
- The Probit Regression, which is modeling the
dependent variable as 1Franchised and
0Independent based on the other variables also
corroborated the fact that there were no
differences between groups
13GLM Results Interpretation
- In the GLM, remember that we are modeling a
regression equation with 5 variables. In each,
Listing Agent Type is B4 but each of the other 4
variables are Dependent in iterations of the
model - The fact that B4 is not significant means that
there is no difference between franchised firms
and independent firms
14Probit Regression Results Interpretation
- In the probit model, the Dependent Variable is a
binary with 1Franchised and 0 Independent - The 4 Independent Variables are measuring the
propensity or probability that the variable
increases the model toward reaching 1 or
Franchised - However, since the entire model is insignificant
(p0.18), there are no differences between the
two groups
15Conclusion
- This work has empirically tested the performance
of real estate brokerage firms and concluded that
there are no performance differences between them - Practically, the cost-benefit analysis that small
firms perform when making the decision to
transform from XYZ Realty to Coldwell Banker XYZ
Realty must be scrutinized - The implications of this work is that when one
looks at the performance measures that matter to
the consumer and to the firm, the cost of
becoming a franchisee may not make economic sense
16Thank You
- You can always contact me at rsb306_at_temple.edu
and I welcome comments, questions, suggestions
and criticism.