Harvesting Wisdom on Social Media for Business Decision Making
Loading...
Date
2022-01-01
Open Access Location
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
HICSS
Rights
(c) 2022 The Author/s
CC BY-NC-ND 4.0
CC BY-NC-ND 4.0
Abstract
The 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.
Description
Keywords
Judgement, Big Data-Analytics, and Decision-making, decision making, social media big data analytics, social media data analytics framework, wisdom of the crowds
Citation
Yu 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).