Digital organizational strategy: Ticket for competitiveness on the international market
Bibliographic record
Abstract
For organizational competitiveness, it is much more important to recognize opportunities than to avoid threats. Strategic management should turn each environmental opportunity into organizational strength, so digital sale and purchase have already become worldwide established practice. In the European Union, only a quarter organizations' total sales usually come from online sale, and the situation with online purchase is even worse. The main goal of this paper is to determine the causes of reluctance to implement digital sale and purchase so the research was conducted based on the European Commission database (Flash Eurobarometer Report 413) and Eurostat database. Online sale and online purchase of EU organizations have been studied based on the available data. Therefore, obstacles to digital sale and purchase, proportion of sale and purchase made nationally and cross-border, value of e-commerce sales, integration of internal processes, security policy and individuals' level of computer, digital and e-skills are observed. Results show that EU organizations do not implement digital sale because delivery costs are too high and guarantees as well as returns are too expensive, and even if they sell online, they are selling only in their own respective countries, mostly using their own websites or applications. Reasons against digital purchase are similar: high delivery costs. In this paper, special attention is directed to Croatian organizations that are not enough digitally oriented. Croatian organizations used to buy online from other EU countries, but stopped doing this although they are currently considering buying products or services online from other EU countries. Also, they are willing to sell online to other EU countries and what is interesting comparing with other EU countries, one in ten organizations in Croatia is selling to Japan and China. A major problem is that a significant percentage of Croatian organizations have tried to sell online to other EU countries but have given up. They are not concerned about data not being well protected or about product labelling having to be adapted, which raises questions about true reasons for giving up from online sale to EU countries. Data indicate a really small number of organizations with precise digital business strategy, not only in Croatia but in the whole European Union. Focus on digitalization could reduce logistics costs and enhance export. Nevertheless, digital orientation undoubtedly must become priority of strategic management.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.012 |
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".