New generation of innovation management: an integrated framework for the digital era
Bibliographic record
Abstract
The present research highlights the main developments in the generations of innovation management models and systems. Innovation defined as the process of transforming ideas into marketable products or services is vitally important to the industry since it can produce value to the customers and generate revenue for producers. The research aim is to develop a novel generation innovation framework for future digital economy which defines the lifecycle from idea generation to commercialization, illustrating the factors affecting such development and considering the current socio-economic environment, evolution of business processes, technological advancements and market trends. A questionnaire is designed and administered to professionals in industry to elicit their feedback that can be used to validate the framework and to assess its usefulness to organisations. This questionnaire is an essential part of the research methodology. The questions are formulated in a format that allows a pair-wise comparison highlighting the item`s relative importance. Adequate guidance on answering questions is provided. The proposed innovation framework is applied to collect data and to carry out a pair-wise comparison between the components of the main criteria and sub-criteria. It triggers the innovation processes required to handle the demand-pull and to consider the digitalisation push. The model is validated utilizing the practitioner’s contributions from seven countries, namely; the UK, UAE, USA, Germany, Japan, China, and Canada, The Analytical Hierarchy Process (AHP) is utiliesed, combining both quantitative and qualitative methods. The impact of digitalisation-push and of the demand-pull are considered as main criteria, with many sub-criteria associated with each criterion. The findings confirmed that the proposed framework is useful to industry professionals and organisations that focus on creating value for the customer who has become more aware of and demanding regarding lead time delivery services, product availability, and reliability. The model can also be applied to test the ideas of experts to obtain the appropriateness of the innovation framework for manufacturing, firms, and organisations.
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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 | 0.016 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.018 | 0.016 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".