Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Crowdsourcing, a distributed human problem-solving paradigm is an active research area
which has attracted significant attention in the fields of computer science, business, and …

Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Crowdsourcing allows large-scale and flexible invocation of human input for data gathering
and analysis, which introduces a new paradigm of data mining process. Traditional data …

Reputation systems are an important means to facilitate trustworthy interactions between on-
and off-chain services and users. However, contemporary reputation systems are typically …

Reputation systems in digital workplaces increase transaction efficiency by building trust
and reducing information asymmetry. These systems, however, do not yet capture the …

In today's knowledge‐, service‐, and cloud‐based economy, an overwhelming amount of
business‐related data are being generated at a fast rate daily from a wide range of sources …

Crowdsourcing emerged with the development of Web 2.0 technologies as a distributed
online practice that harnesses the collective aptitudes and skills of the crowd in order to …

Recently, financial institutes have been dealing with an increase in financial crimes. In this
context, financial services firms started to improve their vigilance and use new technologies …

The widespread adoption of utility-based real-time applications has placed the necessity of
widescale deployment of edge computing infrastructure. Crowdsourced edge computing is …