A Sustainability Score Development for a Social Responsibility Network

Gül Tekin Temur, Mehmet Ali Işık, Uğur Yılmaz, İsmail Cenk Cengiz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The social networks are beneficial platforms to organize, plan and approve the social responsibility related actions. In the existing social networks, there is a lack of scoring metric that indicates the performance scores of the users/individuals in terms of any dimensions such as sustainability. In this study, a novel multi criteria decision making method is utilized to offer a way to score the sustainability belongs to activities managed and/or participated by the users. A hesitant fuzzy analytical hierarchy process model (HFAHP) is aimed to use because of its strength on dealing with vagueness originated from subjectivity. A real application will be conducted for a social responsibility Start-Up initiative named GooDeer. The provided methodology’s results will be integrated into the GooDeer mobile application providing social network interaction for goodness ecosystem.

Original languageEnglish
Title of host publicationIndustrial Engineering in the Industry 4.0 Era - Selected Papers from ISPR2023
EditorsNuman M. Durakbasa, M. Güneş Gençyılmaz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages49-56
Number of pages8
ISBN (Print)9783031539909
DOIs
Publication statusPublished - 2024
Externally publishedYes
EventInternational Symposium for Production Research, ISPR 2023 - Antalya, Turkey
Duration: 5 Oct 20237 Oct 2023

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceInternational Symposium for Production Research, ISPR 2023
Country/TerritoryTurkey
CityAntalya
Period5/10/237/10/23

Keywords

  • Hesitant Fuzzy Analytical Hierarchy Process
  • Multi Criteria Decision Making
  • Social Network Sites
  • Social Responsibility
  • Sustainability Performance

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