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Les déterminants de la compétitivité des franchises internationales : une analyse empirique du cas du Cameroun
A. Harvey (1976)
Estimating Regression Models with Multiplicative HeteroscedasticityEconometrica, 44
Helle Neergaard, H. Madsen (2004)
Knowledge Intensive Entrepreneurship in a Social Capital PerspectiveJournal of Enterprising Culture, 12
W. Gartner, Jennifer Starr, S. Bhat (1999)
Predicting new venture survival: An analysis of “anatomy of a start-up.” cases from Inc. MagazineJournal of Business Venturing, 14
N. Lin, M. Dumin (1986)
Access to occupations through social tiesSocial Networks, 8
M. Wright, Keith Hmieleski, D. Siegel, Michael Ensley (2007)
The Role of Human Capital in Technological EntrepreneurshipEntrepreneurship Theory and Practice, 31
A. Cooper (1993)
Challenges in Predicting New Firm Performance
C. Gauzente (2000)
Mesurer la performance des entreprises en l'absence d'indicateurs objectifs: quelle validité ? Analyse de la pertinence de certains indicateurs, 3
J. Schumpeter (2010)
The Analysis of Economic Change
D. Méda (2004)
Le temps des femmes, pour un nouveau partage des rolesPopulation, 59
B. Batjargal (2000)
Social Capital and Entrepreneurial Performance in Russia: A Panel Study
Michael Morris (1998)
Entrepreneurial Intensity: Sustainable Advantages for Individuals, Organizations, and Societies
anna. paulson, R. Townsend, A. Karaivanov (2006)
Distinguishing Limited Liability from Moral Hazard in a Model of EntrepreneurshipJournal of Political Economy, 114
M. Gallo (1995)
The Role of Family Business and Its Distinctive Characteristic Behavior in Industrial ActivityFamily Business Review, 8
R. Castanias, Constance Helfat (2001)
The managerial rents model: Theory and empirical analysisJournal of Management, 27
D. Baron (2005)
Corporate Social Responsibility and Social EntrepreneurshipWiley-Blackwell: Journal of Economics & Management Strategy
P. Davidsson (2002)
What Entrepreneurship Research Can Do for Business and Policy PracticeInternational Journal of Entrepreneurship, 1
F. Beest, Geert Braam, S. Boelens (2009)
Quality of financial reporting: measuring qualitative characteristics
M. Mizruchi (1996)
What Do Interlocks Do? An Analysis, Critique, and Assessment of Research on Interlocking DirectoratesReview of Sociology, 22
Steven Andrews, R. Burt (1995)
Structural Holes: The Social Structure of CompetitionThe SAGE Encyclopedia of Research Design
Alain Capiez, Émile-Michel Hernandez (2012)
Vers un modèle d'émergence de la petite entreprise, 11
Oskar Morgenstern, J. Schumpeter (1940)
Business Cycles: A Theoretical, Historical, and Statistical Analysis of the Capitalist Process.Journal of the American Statistical Association, 35
Janine Nahapiet, S. Ghoshal (1998)
Social Capital, Intellectual Capital, and the Organizational AdvantageAcademy of Management Review, 23
D. Hambrick (2007)
Upper Echelons Theory: An UpdateAcademy of Management Review, 32
G. Becker (1964)
Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education
Richard-Marc Lacasse (1990)
La petite entreprise au canada : le cas particulier de l'entrepreneuriat féminin dans le secteur manufacturier
R. Cooper (1979)
The Dimensions of Industrial New Product Success and FailureJournal of Marketing, 43
P. Dubini, H. Aldrich (1991)
Personal and Extended Networks Are Central to the Entrepreneurial ProcessJournal of Business Venturing, 6
David Smalibone (1990)
Success and Failure in New Business Start-UpsInternational Small Business Journal, 8
R. Burt (2000)
The Network Structure Of Social CapitalResearch in Organizational Behavior, 22
Stanley Cromie, Ben Stephenson, David Monteith (1995)
The Management of Family Firms: An Empirical InvestigationInternational Small Business Journal, 13
Matthew Marvel, A. Griffin, John Hebda, B. Vojak (2007)
Examining the Technical Corporate Entrepreneurs’ Motivation: Voices from the FieldEntrepreneurship Theory and Practice, 31
[Small-, medium-, and micro-sized enterprises (SMMEs) constitute a vast majority of businesses in CameroonCameroon and are a vital source of its economic growth, dynamism, and flexibility. SMMEs as economic agents are not only built on their intrinsic qualities, but also rely on information from the business environment. This chapter assesses the impact of entrepreneurial characteristics on the performance of SMMEs. The data used for this study are ‘the General Census of Companies in Cameroon,’ conducted with 93,969 companies by the National Institute of Statistics (INS). The study uses multiple regressions to assess the direct effects of entrepreneurs’ characteristics on the performance of their SMMEs. A statistical analysis of the data reveals that men (60 %) are more entrepreneurially active than women and are mostly less than 50 years old (80 %). Econometric analyses show that characteristics such as gender, age, training, level of education, country of origin, and the share of capital of an entrepreneur significantly influence a SMME’s performance. Further, the social networking capacity of entrepreneurs facilitates economic action and allows them to expand the scope of their businesses by saving resources and leveraging exclusive resources and opportunities. These relationships help the entrepreneurs transform human and financial resources into profit. The level of education feeds into a persistent entrepreneurial logic, and vocational training received by Cameroonian entrepreneurs determines their career opportunities and the performance of their ventures.]
Published: Jul 13, 2016
Keywords: Entrepreneur; SMME; Performance; Entrepreneurial characteristics
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