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Record W2061369666 · doi:10.1108/17537981111190051

Exploration of process and competitive factors of entrepreneurship in digital space

2011· article· en· W2061369666 on OpenAlexaboutno aff
Najmeh Hafezieh, Peyman Akhavan, Farjam Eshraghian

Bibliographic record

VenueEducation Business and Society Contemporary Middle Eastern Issues · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipTypologyThe InternetSpace (punctuation)BusinessProcess (computing)MarketingComputer scienceSociologyWorld Wide Web

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to explore the process and competitive factors of entrepreneurship in digital space in Iran. Design/methodology/approach In the last decades, the development and advancement of information and communication technologies (ICTs) and the business innovations related to them have defined a new economy which is known as “digital economy”. Establishing and running businesses in this digital space means carrying out a kind of electronic commerce by exploiting the internet and other electronic networks. The new digital economy provides exceptional opportunities for many entrepreneurs to create new ventures in different business areas according to electronic commerce models. Given that researchers in Iran have not studied digital entrepreneurship and there is a great interest in digital entrepreneurship, further research is needed on this subject. According to research in Canada by Carrieret al.on cyber entrepreneurship, the authors used the same method and studied five cases that work in digital entrepreneurship in Iran. In this paper, the authors first review the literature of digital entrepreneurship – digital entrepreneurship framework that include a typology of digital ventures and their characteristics, characteristics of digital entrepreneurs, and the distinctions between digital and traditional entrepreneurship. Then five digital entrepreneurs in Iran were surveyed to explore the process of their entrepreneurship and competitive elements applied by them. Findings The most notable contribution of this research is the focus on the process of this type of entrepreneurship and the steps which were used by entrepreneurs. Unlike the traditional forms of entrepreneurship, the entrepreneurs in cyber space in Iran did not examine the feasibility of their projects; also, the identification of a business opportunity created business ideas. Another contribution is that the authors found ten factors as the internet‐based entrepreneurs' competitive elements in Iran, and also found interesting results about characteristics of internet‐based entrepreneurs. Originality/value This paper provides an overview of internet‐based entrepreneurship in Iran. According to collected information, the authors propose the process of internet‐based entrepreneurship and its competitive elements, and establish a basis for future research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.258
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations57
Published2011
Admission routes1
Has abstractyes

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