Can integration difficulties affect innovation and satisfaction?
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 difficulties in the integration of management systems (MSs) and their relationship with innovation and customer satisfaction are explored by proposing a model that links these three concepts together. Integration, innovation and customer satisfaction are relevant issues for the competitiveness of companies, especially for the ones that have implemented several MS standards. The paper aims to discuss these issues. Design/methodology/approach – Data for the study derives from a survey carried out in 76 Spanish organizations registered to at least both ISO 9001:2008 and ISO 14001:2004 standards for quality MSs and environmental MSs, respectively. An exploratory factor analysis and structural equation modeling (SEM) are utilized to assess and confirm the proposed scales validity and the relationships of the conceptual model. Findings – Based on the empirical study, the second-order SEM shows that the difficulties of integration are directly and negatively related to both of MS documentation and procedures. This level is also directly related to the innovation and satisfaction. Nevertheless, no relationships were found between the difficulties of integration and the integration level of MS human resources. Moreover, no direct relationships were found between the difficulties of integration and both the constructs of innovation and satisfaction. Also, the results showed the integration level of MS procedures was not related to the construct of innovation. Originality/value – This is one of the first studies to relate integration difficulties with innovation and customer satisfaction, with a conclusion that an organization should give more importance to the difficulties of integrated MSs that have been uncovered to have a relationship with innovation and customer satisfaction.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| 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