Sustainability and organizational transformation: putting the cart before the horse? (Part Two)
Bibliographic record
Abstract
Purpose – Global corporate strategies are revealing the boundaries of organizational capabilities and the limits of the natural resource capacity that is needed to sustain business operations. Sustainability has emerged as a strategic response adopted by many corporations to reduce resource dependency and consumption costs. The purpose of this paper is to secure existence as a going concern while also demonstrating corporate citizenship. Design/methodology/approach – This two-part paper will present a review of recent findings relevant to sustainability and change management was performed in order to develop a better understanding of factors that may hinder corporate adoption of sustainability, the role of sustainability in transformational change, and the change management challenges involved in integrating sustainability within corporate culture. Findings – For a growing number of organizations, sustainability has recently been elevated from “doing” to the level of “being”, which involves integration into their mission, vision and shared values. Corporate leaders and governing bodies play a critical role as champions in the implementation of sustainability for organizational transformation. Research limitations/implications – The limited number of examples of organizations fully embracing sustainability at a vision level stems from the fact that most executives do not fully understand the issues and do not know how to devise the governance or strategies needed to adopt a more sustainable path. However, the research points to the fact that there is a recognized shortage of empirical research work specifically focussed on sustainability change and effective business cases. Practical implications – Organization development practitioners have a significant role in helping firms implement sustainability-focussed transformations. Social implications – Given the economic, ecological and social imperatives, there is urgency for firms around the world, both big and small, to adopt effective sustainability strategies that add value for stakeholders while reducing resource demand. Originality/value – The research points to the fact that there is a recognized shortage of empirical research work specifically focussed on sustainability change including limited examples of effective business cases.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".