2020
Workshop Paper
Conceptualizing Multidimensional Reputation Evaluation Model for Crowdsourcing Participants: Blockchain Design Perspective
Authors:
Muhammad Nauman Shahid
Venue / Institution:
29th Annual Workshop on Information Technologies and Systems (WITS 2019)
Plain English Executive Summary
Can online reputation be evaluated more fairly by looking beyond a single rating? This research develops a multidimensional approach to evaluating participants in online crowdsourcing environments by considering their prior reputation, behavior, the credibility of evaluations, and potential misconduct. The goal is to provide a more comprehensive basis for assessing trust in decentralized digital marketplaces.
Abstract
This study develops a multidimensional framework for evaluating participant reputation in crowdsourcing environments from a blockchain design perspective. The model integrates initial reputation, transaction behavior, evaluation credibility, and penalties for fraudulent behavior to address limitations associated with conventional reputation mechanisms. Empirical analysis using crowdsourcing data evaluates the model's capacity to differentiate participant reputation across multiple dimensions and provides a basis for decentralized trust mechanisms in digital marketplaces.
Keywords & Empirical Focus:
#Workshop Paper
#Decentralized Trust
#Crowdsourcing
Citation Formats
1-Click CopyMuhammad Nauman Shahid (2020). Conceptualizing Multidimensional Reputation Evaluation Model for Crowdsourcing Participants: Blockchain Design Perspective. 29th Annual Workshop on Information Technologies and Systems (WITS 2019).