The Rise of Spiritual Tourism in South Asia as Business Internationalization
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
Globalization and digitization are motivating organizations around the world to manage and internationalize their products and services. Adaptively, most Asian companies are internationalizing their businesses with respect to various industries; one obvious example is the tourism industry. The global tourism industry can be segmented into niche types such as heritage tourism, dark tourism, medical tourism, including spiritual tourism. The objective of this paper is to analyze the rise of spiritual tourism in South Asian countries and discusses its operations that are internationalized rather than being region-centric or locally focused. It is argued that that public and private tourism operators in South Asia have realized that spiritual tourism presents an attractive product to invest and market based on people, places, and events. However, the challenge is to internationalize multi-faith spiritual tourism in the context of people, places, and events that would be the only way to develop and sustain this niche segment of the tourism business. It is argued that there are various factors that could enable South Asian countries to effectively internationalize their spiritual tourism destinations. The paper concludes that business internationalization of South Asian spiritual tourism, will not only achieve economic development objectives, but also social and United Nations Sustainable Development Goals, and bi-lateral diplomatic goals for regional peace and prosperity
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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