Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Revolutionizing Crowdworking Campaigns: Conquering Adverse Selection and Moral Hazard with the Help of Smart Contracts
Details

Revolutionizing Crowdworking Campaigns: Conquering Adverse Selection and Moral Hazard with the Help of Smart Contracts

Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2023-12-13
Author(s)
Anna Hupe
;
Ulrich Bretschneider
Research Team
IWI6
Abstract
Crowdworking is increasingly being applied by companies to outsource tasks beyond their core competencies flexibly and cost-effectively to an unknown group. However, the anonymous and financially incentivized nature of crowdworkers creates information asymmetries and conflicts of interest, leading to inefficiencies and intensifying the principal-agent problem. Our paper offers a solution to the widespread problem of inefficient Crowdworking campaigns. We first derive the currently applied Crowdworking campaign process based on a qualitative study. Subsequently, we identify the broadest adverse selection and moral hazard problems in the process. We then analyze how the blockchain application of smart contracts can counteract those challenges and develop a process model that maps a Crowdworking campaign using smart contracts. We explain how our developed process significantly reduces adverse selection and moral hazard at each stage. Thus, our research provides approaches to make online labor more attractive and transparent for companies and online workers.
Language
English
Keywords
Crowdwork
Principal Agent Theorem
Adverse Selection
Moral Hazard
Smart Contract
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
17
Event Title
International Conference on Information Systems (ICIS)
Event Location
Hyderabad, India
Event Date
10-13 Dec 2023
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/118391
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

File(s)
Thumbnail Image

open.access

Name

JML_955.pdf

Size

511.95 KB

Format

Adobe PDF

Checksum (MD5)

3d0c76821eb3c1c4d0b75f0ac3bf8a4f

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify