Decision-making on online crowdsourced platforms: From investment to charity using a multi-method approach

This thesis aims to understand a few key drivers that influence decision-making by users on crowdsourced platforms, specifically looking into two key categories. The first is initial coin offering investment rating and evaluation platforms, which are marked with high uncertainty. The second is charitable micro donation platforms, covering healthcare needs in developing nations. These two platform types mark the top concerns for users, investors as well as platform owners in recent times and through a multi-method approach, we aim to provide novel explanations on 1) if and how emotions from patients’ images affect donation decision, 2) how chances of survival of a patient influences donation success, 3) how artificial intelligence influence the assessments of human experts in evaluating ICO projects, 4) how the perceptions of AI’s ability and outcome likelihood affect the influence of AI assessments on human experts’ decisions, and 5) what are the key drivers to success and decision-making in ICO based on past research review.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Business Administration

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Basu, Saunak

Contributors dc:contributor

• Subramanyam, Ramanath
• Seshadri, Sridhar
• Han, Wencui
• Garimella, Aravinda

• Crowdfunding
• Ico
• Augmented System
• Healthcare
• Philanthropy
• Ai-human
• Online Platforms
• Decision-making

Statement dc:rights

• Copyright 2023, Saunak Basu.

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/121249

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F121249