Viewpoint: Digital resilience, new business models and international entrepreneurship in the era of knowledge-economy
Bibliographic record
Abstract
Viewpoint: Digital resilience, new business models and international entrepreneurship in the era of knowledge-economy Jafari-Sadeghi et al., 2021).In this context, the concept of digital resilience has emerged as a critical capability for firms to not only survive but thrive in an increasingly volatile, uncertain, complex and ambiguous (VUCA) business environment (Annarelli et al., 2020).This special issue of the Journal of Enterprise Information Management focuses on the intersections of digital resilience, new business models and international entrepreneurship, particularly emphasizing the importance of digital resilience for SMEs, the adaptation of business models in the digital age and the specific challenges SMEs face in international markets.By exploring these themes, the issue aims to provide valuable insights into how SMEs can leverage digital technologies to enhance their resilience, innovate their business models and successfully pursue international opportunities. Theoretical foundationsThe landscape of international business has undergone a profound transformation in recent decades, driven by the rise of the knowledge economy and the rapid advancement of digital technologies (Hanelt et al., 2020;Vaio et al., 2021).This evolution has given birth to new forms of international entrepreneurship and necessitated the development of novel capabilities, particularly digital resilience, for firms operating in the global marketplace (Dillon et al., 2020).As Oviatt and McDougall (2005) presciently observed, the intersection of international business, entrepreneurship and technological advancement has created a new paradigm for how firms operate across borders.International entrepreneurship, once characterized primarily by the gradual expansion of firms into foreign markets as described in traditional internationalization theories (Johanson and Vahlne, 1977), has been revolutionized by digital technologies.Today's international entrepreneurs can leverage digital platforms and ecosystems to engage with global markets Journal of Enterprise Information
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".