@article {10.3844/jcssp.2021.1128.1137,
article_type = {journal},
title = {Multi-Criteria Decision-Making Methodology for Sustainable Creativity in Social Media},
author = {Sharma, Shilpi and Choudhury, Tanupriya and Dewangan, Bhupesh Kumar},
volume = {17},
number = {11},
year = {2021},
month = {Dec},
pages = {1128-1137},
doi = {10.3844/jcssp.2021.1128.1137},
url = {https://thescipub.com/abstract/jcssp.2021.1128.1137},
abstract = {A major topic that every researcher is pursuing is sustainability in every aspect of knowledge and learning. In the 21st century, the world is facing a challenge. Some of the well-known Multi-Criteria Decision-Making tools are Analytic Network Process (ANP), Analytical Hierarchy Process (AHP), TOPSIS, ELECTRE, Choice Based Conjoint Analysis (CBC) etc. This approach is used in various research domains. The purpose of this study is to evaluate and find result for the queries based on reviews like which measures correlated to the sustainable environmental features involved in the development of social media? Which measures is most commonly used? What type of MCDM methods suitable for variety of social media? Is any different evidence for methods used for sustainable social media selection? Our focus was on analyzing the methods of choice and the criteria for result evaluations. In the spatial analysis the decision making is the main element in geographic studies and skills related to the success towards the planning process. MCDM focuses to analyzing decision problems and estimating the substitute to take decision for the preferences, privations the competence, handle spatial data for analysis. Ranking of influential users is most frequently used criteria followed by privacy, seriousness about reading terms and conditions and accurate quality and quantity.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}