2021
DOI: 10.35877/454ri.qems344
|View full text |Cite
|
Sign up to set email alerts
|

Re-Investigating the Roles of Green Service-scape to Improve Tourism Performance Marketing Service Dominant Logic Perspective: A Literature Review

Abstract: This study aims to investigate previous research on the co-creation of Green Service-scape Destination (GSD) specifically concerning definitions, theories used, research themes, methodologies, and contexts; studied in accordance with the perspective of Service Dominant Logic (SDL). This study used bibliometric analysis and used Publish or Perish software with Google Scholar as the database. A total of 183 articles published in 122 journals from 2010 to 2020 were selected. This study used systematic data to rev… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 56 publications
0
5
0
Order By: Relevance
“…Literature [9] conducted an in-depth investigation and exploration of the structural factors of tourism demand after readjusting the gravity model. Literature [10] used hotel overnight tourists as the research object, combined with the tourism demand model and artificial neural network model, carried out a specific analysis of the case, and proposed a prediction model to guide interested tourism suppliers to provide better product supply to meet the needs of tourists. Literature [11] uses a novel evolutionary negative correlation combined with the LSPME model to study tourism demand estimation, compares the LSPME model with other integrated models, and believes that the estimation accuracy of the LSPME model is significantly better than other integrated models.…”
Section: Related Workmentioning
confidence: 99%
“…Literature [9] conducted an in-depth investigation and exploration of the structural factors of tourism demand after readjusting the gravity model. Literature [10] used hotel overnight tourists as the research object, combined with the tourism demand model and artificial neural network model, carried out a specific analysis of the case, and proposed a prediction model to guide interested tourism suppliers to provide better product supply to meet the needs of tourists. Literature [11] uses a novel evolutionary negative correlation combined with the LSPME model to study tourism demand estimation, compares the LSPME model with other integrated models, and believes that the estimation accuracy of the LSPME model is significantly better than other integrated models.…”
Section: Related Workmentioning
confidence: 99%
“…Although some entrepreneurs seem to have knowledge through the level of education but in the sustainability of the green brand Ulos requires knowledge and transformation. Suppose the need for rapid changes in green sustainability technology could conflict with the requirements of profit acceleration as raw materials will become more expensive, processes, and green adjustment principles (Davis-Sramek, et al, 2020), (Simanjuntak & Banjarnahor, 2021) including: expanding the service network to provide a wider range to weaver groups and should this be initiated by entrepreneurs or retailers who are considered more capable. adapt and initiate in creating SPS and MPF values.…”
Section: Resultsmentioning
confidence: 99%
“…Tourists are the primary audience source, and the performance content is mainly the local characteristic culture of the scenic spot. China's tourism performance shows characteristics, culture, and innovation based on the trend of mutual integration of culture and tourism [23][24][25]. Among them, the most representative is the landscape real scene performance.…”
Section: Application Of Digital Image and Visual Sensing Technology I...mentioning
confidence: 99%