Tourism Entrepreneurs Awareness Level of Knowledge Management: A Literature Review
Bibliographic record
Abstract
Background: Contemporary organizations, more importantly, tourism and hospitality sectors, are heavily based on knowledge intensive dimensions. As they are emerging industries, and these sectors face fierce competition and strive for modernization of their business activities. However, the aging workforce in these industries poses huge challenges for the process of modernization. Organizations in these sectors do not follow knowledge management mechanism. As the importance of knowledge management is not well materialized, a comprehensive study is required to understand the grounded reality based on current need for practicing knowledge management in these sectors. 
 Objectives: This study is conducted to identify various dimensions of knowledge management in tourism and hospitality sectors based on literature survey and to suggest managerial implications for managing knowledge in tourism and hospitality enterprises.
 Methods: within the framework of qualitative research, this study uses guided literature reviews, seminar discourses and general observation for collecting the data and analysis.
 Findings: This study has identified several dimensions that show shift of paradigm in knowledge management highlighting the importance of knowledge management in tourism enterprises. The study explores tourism entrepreneur's awareness level of knowledge management. Informed with the related theories of knowledge management, the study explores measures for achieving sustainable tourism development through effective knowledge management.
 Conclusions: The study indicates that in order to advanced performance of these sectors, the owners and tourism entrepreneurs strategically require implementing the principles of knowledge management effectively. 
 Implications: This paper may serve as instrumental as it attempts to analyze awareness level of tourism entrepreneurs on knowledge management providing evidences for its enhancement and development in Nepal.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".