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Record W1492738993

Cross-cultural differences in entrepreneurial tendencies: An exploratory view in Turkey and Canada

2013· article· en· W1492738993 on OpenAlexaboutno aff
Ahmet Emre Demirci

Bibliographic record

VenueInternational journal of entrepreneurship · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipTurkishPopularityRecessionProfit (economics)BusinessMarketingPublic relationsEconomicsPolitical scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACTEven though entrepreneurs hip is not new, its popularity is still growing rapidly as a result of a wide range of factors. Removal of the trade barriers, global economic recessions, advancements in information and telecommunication technologies, corporate restructurings, downsizing, mergers and acquisitions are among the major factors that led the topic to keep its critical importance. As a result of the above mentioned conditions, entrepreneurs hip is increasingly catching the attention of the academia as well as the governments, policy makers, NGOs and other profit or non-profit institutions. Whilst many governments are working on new policies to support entrepreneurs hip, higher education institutions (HEI) are constantly launching new and innovative programs, courses and seminars on entrepreneur ship. All these efforts have one common ultimate goal which is fostering and encouraging entrepreneurial activities and innovation.The aim of this study is to assess and compare the entrepreneurial tendencies of Turkish and Canadian students enrolled in Business Administration programs at undergraduate level. A sample of 429 third and fourth year students from Turkey and Canada were chosen for the study. 217 students out of 429 were Canadians and the remaining 212 were Turkish students.Field : Management, Entrepreneur ship, Cross-Cultural ManagementINTRODUCTIONThe field of entrepreneurship has a recognized scientific community that expresses itself through large numbers of conferences and scientific journals (Bruyat and Julien, 2000) as a result of its significant effects on both economic and corporate performance. Entrepreneurship is now considered as one of the most powerful tools to survive economic recessions and bottlenecks through creating new businesses and new jobs, fostering creative thinking and nurturing the economy itself. Entrepreneurship is even more crucial for developing countries since its vital role in economic growth, wealth creation and distribution grows as we speak.Triggered by the global and organizational changes, entrepreneurship has been receiving a growing interest both by the universities and other institutions. While globalization, removal of trade barriers and the emergence of Internet and telecom technologies are offering opportunities and risks globally, massive changes at organizational level like lay-offs, corporate restructurings, mergers & acquisitions, corporate alliances are also occuring constantly. These intense changes at macro and micro level call for an entrepreneurial action for increasing number of people day after day. Figure 1 shows the major factors fostering individual to consider entrepreneurship as an option.Parallel to the growing interest in entrepreneurship, increasing number of programs and courses offered by universities, private consultants and trade associations. The number of entrepreneurship research centers and degrees offered by those institutions are also growing rapidly.However, there is also a strong debate among academics about whether the entrepreneurship can actually be taught (Fiet, 2001). Albeit these strong discussions, entrepreneurship is relatively well established in most academic areas. Entrepreneurship scholars and teachers seem winning the battle for academic respectability that they fought over two decades (Johnson et al., 2006) and proved that entrepreneurship can be taught. In a survey of American professors, Vesper found that 93 percent of respondents indicated that entrepreneurship can be taught (Hynes, 2005). Supporting this view, Kantor (1988), studied 408 entrepreneurship students in Ontario and concluded that the most generally believed that the majority of entrepreneurial traits and skills can be taught, with skills perceived as being more teachable compared to traits (Henry et al., 2005).Entrepreneurial qualities and tendencies have long been closely linked with some personality characteristics such as need for achievement, need for autonomy, creative tendency, calculated risk taking and internal locus of control. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.264
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2013
Admission routes1
Has abstractyes

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