A Gem of Study Discussion Thread - Management
From the A GEM of A Study case, answer the following questions:1. What are the independent and dependent variables in this study?2. What are some of the intervening, extraneous, and moderating variables that the study attempted to control with its 10-nation design?3. Can you do a causal study without controlling intervening, extraneous, and moderating variables?4. What is the impact on study results of using national experts (key informants) to identify and weigh entrepreneurial framework conditions?5. Can you do a causal study when much of the primary data collected is descriptive opinion and ordinal or interval data?MUST BE AT LEAST 800 WORDSEach question response must be supported with at least 1
peer-reviewed source. Each
thread must also include 1 biblical application/integration.The
biblical application/ integration cannot be more than 10% of the thread.
BUSI 600
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Business Research Methods, 14e/Schindler
1
>cases
In periods of economic downturn, government leaders try to stimulate entrepreneurship
activity. Project directors of the Global Entrepreneurship Monitor, partnered with the
Kauffman Center for Entrepreneurial Leadership of Ewing Marion Kauffman Foundation, the
London School of Business and Babson College,designed a research study to add insight to
what activities would be most likely to stimulate entreprenship activities.
>Abstract
>The Scenario
What government policies and initiatives are most likely to generate high levels of
entrepreneurial activity? Which are positively correlated with the economic well-being
of a country as measured by growth in GDP and job formation? Project directors of the
Global Entrepreneurship Monitor (GEM), who define entrepreneurship as “any attempt
at new business or new venture creation, such as self-employment, a new business organi-
zation, or the expansion of an existing business, by an individual, a team of individuals,
or an established business,” suggest the following:
• Promoting entrepreneurship, especially outside the most active age group (25–
44), with specific programs that support entrepreneurial activity.
• Facilitating the availability of resources to women to participate in the entre-
preneurial process.
• Committing to long-term, substantial postsecondary education, including
training programs designed to develop skills required to start a business.
• Emphasis on developing an individual’s capacity to recognize and pursue new
opportunities.
• Developing the capacity of a society to accommodate the higher levels of
income disparity associated with entrepreneurial activity.
• Creating a culture that validates and promotes entrepreneurship throughout
society.
Researchers at the Kauffman Center for Entrepreneurial Leadership (Babson College)
and the London Business School revealed these propositions based on a study
designed to prove a causal relationship between factors that affect entrepreneurial
opportunities and potential, to business dynamics and national economic growth and
well-being.
The research design compensated for lack of control of extraneous variables
by using data from 10 nations “with diversity in framework conditions, entrepreneurial
sectors, business dynamics, and economic growth.” The longitudinal study
proposed to prove or disprove a new conceptual model of cultural, economic, physical,
and political factors to predict economic growth (Exhibit C-GEM 1–1).
A GEM of a Study
>The Research
704
A GEM of a Study
What government policies and initiatives are most likely to generate high levels of
entrepreneurial activity? Which are positively correlated with the economic well-being
of a country as measured by growth in GDP and job formation? Project directors of the
Global Entrepreneurship Monitor (GEM), who define entrepreneurship as “any attempt
at new business or new venture creation, such as self-employment, a new business orga-
nization, or the expansion of an existing business, by an individual, a team of individu-
als, or an established business,” suggest the following:
• Promoting entrepreneurship, especially outside the most active age group (25–44),
with specific programs that support entrepreneurial activity.
General National
Framework
Conditions
Openness
Government
Financial markets
Technology, R & D
Infrastructure
Management (skills)
Labor markets
Institutions
•
•
•
•
•
•
•
•
Entrepreneurial
Framework
Conditions
Financial
Government policies
Government programs
Education & training
R & D transfer
Commercial, legal
infrastructure
Internal market openness
Access to physical
infrastructure
Cultural, social norms
•
•
•
•
•
•
•
•
•
Business
Dynamics
(firms, jobs)
•
•
•
•
Births
Expansion
Deaths
Contraction
Entrepreneurial
Opportunities
Entrepreneurial
Capacity
Economic
Growth
(GDP, jobs)
Social,
Cultural,
Political
Context
Existence
Perception
•
•
Skills
Motivation
•
•
EXHIBIT C-GEM 1–1 Conceptual Model: The Entrepreneurial Sector and Economic Growth
coo98706_cases.qxd 6/9/02 2:05 PM Page 704
• Facilitating the availability of resources to women to participate in the entrepre-
neurial process.
• Committing to long-term, substantial postsecondary education, including training
programs designed to develop skills required to start a business.
• Emphasis on developing an individual’s capacity to recognize and pursue new
opportunities.
• Developing the capacity of a society to accommodate the higher levels of income
disparity associated with entrepreneurial activity.
• Creating a culture that validates and promotes entrepreneurship throughout society.
Researchers at the Kauffman Center for Entrepreneurial Leadership (Babson Col-
lege) and the London Business School revealed these propositions based on a study
designed to prove a causal relationship between factors that affect entrepreneurial
opportunities and potential, to business dynamics and national economic growth and
well-being. The research design compensated for lack of control of extraneous vari-
ables by using data from 10 nations “with diversity in framework conditions, entrepre-
neurial sectors, business dynamics, and economic growth.” The longitudinal study
proposed to prove or disprove a new conceptual model of cultural, economic, physical,
and political factors to predict economic growth (Exhibit C-GEM 1–1).
CASES 705
Culture
Favorable
Neutral
Unfavorable
0.8
0.15
0.34
–0.07
–0.2
–0.09
–0.92
–0.65
–0.36
0.87
U.S.
Canada
Israel
U.K.
Germany
Denmark
France
Japan
Finland
Correlation to
Start-Up Rate
1.23
0.55
–0.06
0.17
–0.22
–0.3
–1.01
0.29
–0.94
0.79
0.44
0
–0.97
–0.03
–0.21
–0.56
–0.81
–0.52
–0.33
0.58
0.21
–0.12
0.29
–0.02
0.03
–0.12
–0.23
–0.39
–0.1
0.69
–0.46
–0.28
–0.26
–0.97
–1.24
–0.52
–1.21
–1.06
–0.94
0.65
0.8
0.22
0.04
0.08
0.15
0.39
–0.1
–0.68
–0.22
0.71
0.88
0.86
0.67
0.57
0.29
0.33
–0.49
–0.61
1.03
0.55
Equity Debt R&D Education Subcontractor Legal, Banking
EXHIBIT C-GEM 1–2 Entrepreneurial Framework Conditions: Cross-National Comparisons of Key Informant
Multi-Item Indexes
coo98706_cases.qxd 6/9/02 2:05 PM Page 705
Business Research Methods, 14e/Schindler
4
>Sources
Various data collection methods were employed, including:
• Promoting entrepreneurship, especially outside the most active age group (25–
44), with specific programs that support entrepreneurial activity.
• Current, nonstandardized data collected by each national research team.
• Two rounds of adult population surveys (1,000 randomly selected adults per
country) to measure entrepreneurial activity and attitude, completed and
coordinated by an international market survey firm by phone—or face-to-face
in Japan. (Market Facts [Arlington, VA] did the first round of data collection in
June 1998 [Canada, Finland, Germany, the United Kingdom, and the United
States]. Audience Selection, Ltd. [London] conducted the second round in
March 1999 from all 10 countries.)
• Hour-long personal interviews with 4 to 39 experts (key informants) in each
country.
• Detailed 12-page questionnaire completed by each key informant.
The perception of opportunity (.79) and the two measures of entrepreneurial potential of the
population—capacity (.64) and motivation (.93)—positively correlate with business start-up
rates. And start-up rates positively correlate with growth in GDP (.60) and level of employ-
ment (.47).
While many cross-sectional measures still remain in this ongoing study, study directors
claim, “The support for the conceptual model is encouraging, although clearly not conclu-
sive. GEM provides a robust framework within which national governments can evolve a set
of effective policies for enhancing entrepreneurship.”
1. What are the independent and dependent variables in this study?
2. What are some of the intervening, extraneous, and moderating variables that the study
attempted to control with its 10-nation design?
3. Can you do a causal study without controlling intervening, extraneous, and moderating
variables?
4. What is the impact on study results of using national experts (key informants) to
identify and weigh entrepreneurial framework conditions?
5. Can you do a causal study when much of the primary data collected is descriptive
opinion and ordinal or interval data?
• Developed for Business Research Methods, 7e. Used with permission of Pamela S. Schindler and
Donald R. Cooper. © 2001
• Global Entrepreneurship Assessment: National Entrepreneurship Assessment, UK, 1999 Executive
Report. Center for Entrepreneurial Leadership of Ewing Marion Kauffman Foundation, 1999.
• Reynolds, P., M. Hay, and M. Camp. Global Entrepreneurship Monitor: 1999 Executive Report.
Kauffman Center for Entrepreneurial Leadership of Ewing Marion Kauffman Foundation, 1999.
• Reynolds, P., J. Levie, and E. Autio. Global Entrepreneurship Monitor:1999 Data Collection-
Analysis Strategies Operations Manual. Babson College and the London Business School, 1999.
• Reynolds, P., J. Levie, E. Autio, M. Hay, and B. Bygrave. Global Entrepreneurship Monitor: 1999
Research Report: Entrepreneurship and National Economic Well-Being. Babson College and the
London Business School, 1999.
• Zacharakis, A., P. Reynolds, and W. Bygrave. Global Entrepreneurship Assessment: National
Entrepreneurship Assessment, United States of America, 1999 Executive Report. Center for
Entrepreneurial Leadership of Ewing Marion Kauffman Foundation, 1999.
A GEM of a Study
>>>>>Discussion
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ach
e. Embedded Entrepreneurship
f. Three Social Entrepreneurship Models
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h. Micros-enterprise Development
Outcomes
Subset 2. Indigenous Entrepreneurship Approaches (Outside of Canada)
a. Indigenous Australian Entrepreneurs Exami
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