CHANGE AS A CATALYST LEADING TO THE ERA OF CORPORATE SOCIAL INNOVATION: REFLECTIONS ON THE CANADIAN SOCIETY'S EFFORTS TO PROMOTE CSI
Bibliographic record
Abstract
ABSTRACT The only constant fact of life is change; whether leaders accept it or not, organizations practice it or not it is there. It will be always a transition that any institution passes through during its process of development. The paradigm shift of management and the rise of new concepts and directions in its processes and practices acted as a catalyst of change during our century. This transition from one state to the other or what we call “Change” due to internal as well as external factors and complexities of our Management environment acted by its turn as a catalyst boosting new concepts in our life as managers; entrepreneurs; and administrators. Value is created along with introducing new inventions and developing the old ones to help society, what we call “Corporate Social Innovation”. Change happens here to innovate in the product delivered to promote social value and to shift the mindset of corporation itself creating a balance between its interests and the society. Therefore, the essence of change in this sense is “doing Good by doing well” as most literature agreed. The paper in hand will tackle change and leadership challenges to formulate a strategy for Corporate Social Innovation in the light of the new social contract between business practices and society, and it will also highlight patterns of innovation intelligence as related to change reflecting on both Canadian tire company and Proctor and Gamble in Toronto's tools in advocating CSI into their strategies. Keywords Change, Corporate Social Innovation (CSI), Social Capital, Innovation Intelligence, Complexities, Risk management, Disruptive change.
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 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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.050 | 0.055 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".