Prácticas Sostenibles en Hoteles de Lujo y Primera en Guayaquil, Ecuador / Environmental Practices in Luxury Class and First Class Hotels of Guayaquil, Ecuador
Bibliographic record
Abstract
RESUMENEl presente estudio expone las experiencias de algunos hoteles de la ciudad de Guayaquil sobre la implementación de prácticas sostenibles en sus instalaciones, para mejorar su eficiencia en lo ambiental. Concretamente se recogen las experiencias de estos hoteles en el manejo del recurso agua y energía eléctrica, así como también en el manejo de los desechos que generan. Estas experiencias fueron recogidas a través de entrevistas personales en cada uno de los hoteles estudiados. Los establecimientos participaron voluntariamente, luego de hacerles una invitación abierta a todos los hoteles de las categorías lujo y primera clase y sólo algunos de ellos aceptaron participar. Los resultados de la investigación muestran que la mayor parte de las medidas empleadas por los hoteles estudiados corresponden a prácticas de bajo costo, aunque unas cuantas también requieren el uso de tecnología sofisticada.PALABRAS CLAVESHoteles. Prácticas Ambientales. Hoteles de Lujo. Guayaquil, Ecuador. ABSTRACTThis study collects experiences of some hotels in the city of Guayaquil, on the process of implementing sustainable practices in their facilities intended to improve its environmental efficiency of water consumption and energy usage; as well as waste management. This information was collected through personal interviews at each hotel that was studied. Participation in this research was voluntary. An open invitation was sent to all first class and luxury hotels of the city and some of them accepted to participate. The findings show that most of their actions could be classified as low-cost environmental practices; however, a few of them could need the usage of high technology.KEYWORDSHotels. Sustainable Practices. Luxury Class. Guayaquil, Ecuador. AUTORIAJulio Enrique Gavilanes Valle – Máster. Profesor en Escuela Superior Politécnica del Litoral, Ecuador. Orcid: http://orcid.org/0000-0003-1855-2789. E-mail: julengav@espol.edu.ecCarlos Francisco Ludeña Garcia – Licenciado. Ayudante de Investigación en Escuela Superior Politécnica del Litoral, Ecuador.E-mail: cludena@espol.edu.ecYuly Jacqueline Cassagne Torres - Licenciado. Ayudante de Investigación en Escuela Superior Politécnica del Litoral, Ecuador.E-mail: ycassagn@espol.edu.ec REFERENCIASAlonso, J. C., Arboleda, A. M., Rivera-Triviño, A. F., Mora, D. Y., Tarazona, R., & Ordoñez-Morales, P. J. (2017). Técnicas de investigación cualitativa de mercados aplicadas al consumidor de fruta en fresco. Estudios Gerenciales, 33(145), 412-420. LinkAlonso-Almeida, M., Robin, C. F., Pedroche, M. S. C., & Astorga, P. S. (2017). Revisiting green practices in the hotel industry: A comparison between mature and emerging destinations. Journal of Cleaner Production, 140, 1415-1428. LinkBarriga, A. M. (2017). Percepciones de la gestión del turismo en dos reservas de biosfera ecuatorianas: Galápagos y Sumaco. Investigaciones Geográficas, 2017(93), 110-125. LinkBest, M. N., & Thapa, B. (2013). 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Gestión de servicios en empresas hoteleras. Revista Venezolana de Gerencia, 20(70), 268-281. LinkWang, R. (2012). The investigation of green best practices for Hotels in Taiwan. Procedia-Social and Behavioral Sciences, 57, 140-145. Link Yusof, Z. B., & Jamaludin, M. (2013). Green approaches of Malaysian green hotels and resorts. Procedia-Social and Behavioral Sciences, 85, 421-431. LinkZhang J., Joglekar N., & Verma R. (2010). Sustainability measurements in the built hospitality environment: asset ownership & operational choices. Boston University School of Management Working Paper Series, 31. Link PROCESSO EDITORIALRecibido: 12 JAN 2018; Avaliado Rodadas 1 e 2 FEV-OUT 2018; Aceito:15 NOV 2018
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".