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Record W2804195875 · doi:10.5539/ijms.v10n2p118

Impact of Entrepreneurial Orientation and Network Resource Utilization on Internationalization of SME’s: Evidence from Pakistan

2018· article· en· W2804195875 on OpenAlexvenueno aff
Muhammad Imran Hanif, Madiha Irshad

Bibliographic record

VenueInternational Journal of Marketing Studies · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationBusinessEntrepreneurial orientationIndustrial organizationSmall and medium-sized enterprisesMarketingResource (disambiguation)EntrepreneurshipInternational tradeFinance

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the importance of implementation of strong entrepreneurial orientation and utilization of network resources creating value added products for the internationalization of Small and Medium Enterprises in Pakistan. The objective is to investigate and evaluate the nature of the business, then to determine the importance of implementation of entrepreneurial orientation and utilization of network resources for the internationalization of small and medium sized enterprises in Pakistan. It is proposed that the intensity of internationalization of small and medium sized enterprises is enhanced by development of organizational practices and cultural environment. An overview is provided of the importance of SME sector in Pakistan for the economic growth of the country. The current state of SME sector has been evaluated. It proceeds with the discussion of the factors essential for fostering the growth of SME’s in Pakistan. The importance of these factors such as strong entrepreneurial orientation and utilization of network resources has also been considered for the internationalization of small and medium sized enterprises in Pakistan.The paper concludes with the assessments of implications of these factors and suggestions for future research. Information is provided regarding the current situation of SME’s in Pakistan and the factors for the international growth of this sector have also been identified and studied. Factors under consideration are strong entrepreneurial orientation and utilization of network resources. Few hypotheses made regarding the implication of these factors have been evaluated and tested by several statistical methods. For the internationalization of SME’s in Pakistan these factors have been given special attention. In the industrial development of a country the importance of the SME sector cannot be ignored. SMEs constitute nearly 90% of all the enterprises in Pakistan; employ 80% of the non-agricultural labor force; and their share in the annual GDP is 40%, approximately. However, Pakistan Small and Medium Enterprises sector is facing many problems and challenges both domestic and international in achieving economics of scale and better prospects in marketing their products at international market and to gain the competitive advantage. Demand of the global era requires entrepreneurs who are willing to face risks, innovative, proactive and compete aggressively to be able to seek new opportunities and increase competition advantages. Innovation is needed to provide value added products through value creation, so that the competitive advantage could be gained. Entrepreneurs can utilize open source that involves external parties by utilizing network resources. This paper calls attention to ways in which SME’s of Pakistan can survive in this competitive environment. This paper investigates the chief factors for the internationalization of SME’s of Pakistan specifically focusing on the entrepreneurial orientation determinants such as pro-activeness, risk taking and competitive aggressiveness and utilization of network resources.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.045
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.045
GPT teacher head0.356
Teacher spread0.311 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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