Harvesting Wisdom on Social Media for Business Decision Making

Simple item page
dc.citation.volume2022-January
dc.contributor.authorYu J
dc.contributor.authorTaskin N
dc.contributor.authorPauleen DJ
dc.contributor.authorJafarzadeh H
dc.contributor.editorBui TX
dc.coverage.spatialVirtual (hosted by the University of Hawaiʻi at Mānoa)
dc.date.accessioned2025-05-21T23:42:57Z
dc.date.available2025-05-21T23:42:57Z
dc.date.finish-date2022-01-07
dc.date.issued2022-01-01
dc.date.start-date2022-01-03
dc.description.abstractThe proliferation of social media provides significant opportunities for organizations to obtain wisdom of the crowds (WOC)-type data for decision making. However, critical challenges associated with collecting such data exist. For example, the openness of social media tends to increase the possibility of social influence, which may diminish group diversity, one of the conditions of WOC. In this research-in-progress paper, a new social media data analytics framework is proposed. It is equipped with well-designed mechanisms (e.g., using different discussion processes to overcome social influence issues and boost social learning) to generate data and employs state-of-the-art big data technologies, e.g., Amazon EMR, for data processing and storage. Design science research methodology is used to develop the framework. This paper contributes to the WOC and social media adoption literature by providing a practical approach for organizations to effectively generate WOC-type data from social media to support their decision making.
dc.description.confidentialfalse
dc.description.place-of-publicationMānoa, Hawaii
dc.format.pagination5462-5471
dc.identifier.citationYu J, Taskin N, Pauleen DJ, Jafarzadeh H. 2022-01-03 to 2022-01-07. Harvesting Wisdom on Social Media for Business Decision Making. 55th Hawaii International Conference on System Sciences (HICSS) 2022. Virtual (hosted by the University of Hawaiʻi at Mānoa).
dc.identifier.doi10.24251/HICSS.2022.665
dc.identifier.eissn2572-6862
dc.identifier.elements-typeconference
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.issn1530-1605
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72931
dc.publisherHICSS
dc.publisher.urihttps://hdl.handle.net/10125/80003
dc.rights(c) 2022 The Author/s
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.journalProceedings of the Annual Hawaii International Conference on System Sciences
dc.source.name-of-conference55th Hawaii International Conference on System Sciences (HICSS) 2022
dc.subjectJudgement
dc.subjectBig Data-Analytics, and Decision-making
dc.subjectdecision making
dc.subjectsocial media big data analytics
dc.subjectsocial media data analytics framework
dc.subjectwisdom of the crowds
dc.titleHarvesting Wisdom on Social Media for Business Decision Making
dc.typeconference
pubs.elements-id461166
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
461166 PDF.pdf
Size:
465.77 KB
Format:
Adobe Portable Document Format
Description:
Published version.pdf
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Download
Collections
Conference Papers