Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Research Article · Open access · Published 5 December 2021

Multi-Criteria Decision-Making Methodology for Sustainable Creativity in Social Media

Shilpi Sharma1, Tanupriya Choudhury2 & Bhupesh Kumar Dewangan3

Journal of Computer Science, Volume 17, Issue 11, pp. 1128–1137 · doi.org/10.3844/jcssp.2021.1128.1137

6,649 accesses3,458 downloads0 citations (Crossref)Metrics
Cite Check for updates

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.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Sharma, S., Choudhury, T. & Dewangan, B. K. (2021). Multi-Criteria Decision-Making Methodology for Sustainable Creativity in Social Media. Journal of Computer Science, 17(11), 1128–1137. https://doi.org/10.3844/jcssp.2021.1128.1137

Licence
CC BY 4.0
Issue
Volume 17, Issue 11
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Multi-Criteria Decision-Making Methodology for Sustainable Creativity in Social MediaJournal of Computer Science · Volume 17, Issue 11 · pp. 1128–1137 · CC BY 4.0Download