An Investigation of the Factors Affecting Innovation Performance in Chain and Independent Hotels
Bibliographic record
Abstract
SUMMARY The failure rate of new service projects is high, because the knowledge about how innovations should be developed is limited. In the last decade, several studies have investigated the success factors associated with service innovations (e.g., Atuahene-Gima, 1996; de Brentani, 2001; Storey and Easingwood, 1998). However, no research in new service development (NSD) has addressed the question of whether chain affiliated and independently operated service firms have different approaches for developing successful innovations. The majority of past new service development (NSD) success studies have concentrated on the financial service sector, which is generally represented by large corporate organizations. The findings of this study indicate that the factors which impact on the performance of NSD depend on the organizational relationship of hotels-chain affiliation or independent operation. The study's results suggest that market attractiveness, process management, market responsiveness and empowerment predict NSD success within chain affiliated hotels. While empowerment and market attractiveness are also related to NSD success in independent hotels, this is also linked to effective marketing communication, employee commitment, behaviour based evaluation, training of employees and marketing synergy.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".