We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

The marketing mix (MM) is an integral part of a firm's marketing strategy sitting at the nexus
between a company and the marketplace. As such, it evolves together with the marketplace …

An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

Jeroen Meijerink a, Mark Boons b, Anne Keegan c and Janet Marler d ahuman resource
mangement research group, school of Behavioural, management and social sciences …

In the spring of 2014, the sharing economy held an unusual gathering in San Francisco, a
sort of “coming out” party. Entitled “SHARE,” the conference included not only founders …

We explore data from a field test of how an algorithm delivered ads promoting job
opportunities in the science, technology, engineering and math fields. This ad was explicitly …

For social analysts, what has come to be called the “sharing economy” raises important
questions. After a discussion of history and definitions, we focus on 3 areas of research in …

The news is full of their names, supposedly the vanguard of a rethinking of capitalism. Lyft,
Airbnb, Taskrabbit, Uber, and many more companies have a mandate of disruption and …