SMARTER CROWDWORK BY APPLYING SMART CONTRACTS?

Crowdworking is characterized by flexibly engaging a workforce that is recruited for only one task. After the task is completed, the crowdworker and the company do not collaborate anymore. To identify the best-suited crowdwoker for a certain task, crowd working platform providers offer different tools to match both parties. Matching a crowdworker with the required skills for a task is an important factor to complete a crowdworking campaign successfully. As of today, the principal agent theorem and high transaction costs decrease the effectiveness of such campaigns due to information asymmetries between crodworkers and crowdsourcers. Based on a qualitative approach, we structurally develop a currently existing crowdworking campaign process. We then theoretically analyze how smart contracts can support and simplify the identified process while reducing the challenges of transaction cost economics and the principal agent theorem

A personal networking solution

This paper presents an overview of research being conducted on Personal Networking Solutions within the Mobile VCE Personal Distributed Environment Work Area. In particular it attempts to highlight areas of commonality with the MAGNET initiative. These areas include trust of foreign devices and service providers, dynamic real-time service negotiation to permit context-aware service delivery, an automated controller algorithm for wireless ad hoc networks, and routing protocols for ad hoc networking environments. Where possible references are provided to Mobile VCE publications to enable further reading

Blockchain Solutions for Multi-Agent Robotic Systems: Related Work and Open Questions

The possibilities of decentralization and immutability make blockchain probably one of the most breakthrough and promising technological innovations in recent years. This paper presents an overview, analysis, and classification of possible blockchain solutions for practical tasks facing multi-agent robotic systems. The paper discusses blockchain-based applications that demonstrate how distributed ledger can be used to extend the existing number of research platforms and libraries for multi-agent robotic systems.Comment: 5 pages, FRUCT-2019 conference pape

Method and System for Secure Resource Management Utilizing Blockchain and Smart Contracts

This disclosure relates to a resource management system of a computing network. The design of the resource management system is an edge-Internet of Things (IoT) framework based on blockchain and smart contracts. The resource management system integrates a permissioned blockchain to link the edge cloud resources with each account for an IoT device, resource usage, and behavior of the IoT device. The resource management system uses credit-based resource management to control the resource of the IoT device that can be obtained from the edge server. Smart contracts are used to regulate behavior of the IoT device and enforce policies.https://irl.umsl.edu/patents/1065/thumbnail.jp

Method and system for secure resource management utilizing blockchain and smart contracts

This disclosure relates to a resource management system of a computing network. The design of the resource management system is an edge-Internet of Things (IoT) framework based on blockchain and smart contracts. The resource management system integrates a permissioned blockchain to link the edge cloud resources with each account for an IoT device, resource usage, and behavior of the IoT device. The resource management system uses credit-based resource management to control the resource of the IoT device that can be obtained from the edge server. Smart contracts are used to regulate behavior of the IoT device and enforce policies. For the most up-to-date information about these patents, including the availability of Certificates of Correction, be sure to check the United States Patent and Trademark Office\u27s free, publicly accessible database: Patent Public Search https://ppubs.uspto.gov/pubwebapp/static/pages/landing.htmlhttps://irl.umsl.edu/patents/1023/thumbnail.jp

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

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