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Record W4401911267 · doi:10.1108/ejim-04-2024-0426

How the digital environment moderates disruptive technology and digital entrepreneurship relationship in emerging markets

2024· article· en· W4401911267 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Innovation Management · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsEntrepreneurshipBusinessDisruptive innovationDisruptive technologyMarketingEmerging marketsIndustrial organizationEngineeringManufacturing engineering

Abstract

fetched live from OpenAlex

Purpose About 50% of innovations achieve commercial success in advanced countries. The number is much lower in emerging markets. Examining the impact of the digital environment on product success is crucial. The purpose of the study is to investigate the direct effects of disruptive technology (quality, efficiency and congruity) on digital entrepreneurship (new product development, cost-effectiveness and internationalization) and indirect moderating effects of the digital environment (data security, customer privacy and search engine optimization [SEO] algorithm) between disruptive technology and digital entrepreneurship. Design/methodology/approach This is a qualitative study by design. It uses the literature review method and the theory of disruption and competitive advantage to construct the six hypotheses linking the variables – disruptive technology, digital environment and digital entrepreneurship. Findings The study’s conceptual model proposes that disruptive technology leads to digital entrepreneurship; however, the digital environment moderates the relationship between disruptive technology and digital entrepreneurship in emerging markets. Research limitations/implications The conceptual study has research implications for scholars. It constructs a conceptual framework and develops six hypotheses contextualized in emerging markets. The framework can be empirically tested across countries to validate the hypotheses and develop a competing model to explain more variance in digital entrepreneurship. This study also presents the possibility of analytical generalization. Practical implications This study has practical implications for digital entrepreneurs in emerging markets or those wishing to enter emerging markets. The main implication is that disruptive technology leads to digital entrepreneurship; however, the digital environment moderates it. Thus, digital entrepreneurs need to consider digital environmental effects such as data security, customer privacy and SEO. Given that two-thirds of the world is classified as an emerging market, the impact of the study is noticeable for practitioners as well. Social implications Disruptive technology fosters digital entrepreneurship, which creates opportunities for innovative solutions for society worldwide. It breaks down the barriers to entry and promotes inclusivity by providing products and services that were unavailable before. Digital products are also economical and environmentally friendly, making them more suitable for people in emerging markets. Originality/value This study makes three new contributions. First, it proposes that disruptive technology leads to digital entrepreneurship and that the digital environment moderates the relationship between disruptive technology and digital entrepreneurship. Second, from a theoretical viewpoint, it develops a theoretical testable framework, links the variables and proposes the six hypotheses. Finally, the most significant contribution of the study is the identification of the digital environment variable and its dimensions – security, privacy and SEO algorithm – and its comparison between advanced countries and emerging markets.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0030.003
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 head0.018
GPT teacher head0.208
Teacher spread0.189 · 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