Integrated management systems as a driver of sustainability performance: exploring evidence from multiple-case studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to analyze the impact of integrated management systems (IMSs) on sustainability (based on the triple bottom line (TBL) concept). To accomplish this objective, this paper seeks to answer the following research questions: How can IMS impact organizational sustainability performance? And, how the key challenges of IMS can influence companies in practice? Design/methodology/approach A case-based approach is used based on the following four cases from different sectors: an electric power distributor; an environmental consulting firm; a public transport firm; and a firm with a broad portfolio of equipment, products and provisions for industrial services in different markets. Findings The results show that the integration of management systems was driven by the companies' strategies toward sustainability. The stakeholders' perception is that a firm's image as a sustainable company also enhances environmental and social performance. The economic performance was not emphasized. Companies noted that the main challenge was motivating and engaging human resources. Originality/value This paper shows that sustainability was not a motivation for implementing an IMS. But, implementing an IMS was a driver of sustainability performance. Also, the relationship between IMS and organizational performance can be presented based on TBL perspectives, and implementing an IMS can be challenging in practice.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it