We examine the impact of peer-to-peer (P2P) short-term rentals on housing affordability. Using a simple model we illustrate that, although growth in the short-term rental market leads to higher housing prices, home-sharing profits can offset increased housing costs. That is, we show the net...

Seller and product authentication problems are inherent in online markets, particularly in the time-constrained setting of online auctions. While trust-building mechanisms such as seller feedback systems can mitigate these problems, they are based on past transactions and other users’...

Customer segmentation has virtually unlimited potential as a tool that can guide firms toward more effective ways to market products and develop new ones. As a conceptual introduction to this topic, we study how an innovative multi-national firm (Migros Turk) has developed an effective set of...

Traditional models of the economics of search suggest that as the material costs associated with searching for products and services are greatly reduced because of the Internet, consumers should search more extensively in online contexts. Recent empirical evidence strongly contradicts this...

The idea of this research is to create a holistic governance planning concept for Indonesian private universities, as well as architectural designs by elaborating Total Quality Management (TQM) with a higher education quality assurance system approach established by the National Accreditation...

In recent years, online content has shifted from text-centric to visual-oriented content. Despite the massive amount of pictures embedded in online content, how pictures affect people’s liking remains understudied. Using the Stimulus-Organism-Response (SOR) model, the current work investigates...

Blurring industry boundaries and reorganization of conventional linear value chain led to new configurations that have come to be known as digital ecosystems. This chapter discusses how firms compete in a rapidly digitizing ecosystem environment. First, this chapter examines the architecture,...

This research study investigates the challenges and strategies involved in integrating e-commerce and business model innovation within AI-driven enterprises, with a specific focus on the case of HIMS, a men's health and wellness e-commerce company. The aim of this study is to provide valuable...

Should firms that apply machine learning algorithms in their decision making make their algorithms transparent? Despite increasing calls for algorithmic transparency, most firms have kept their algorithms opaque citing potential gaming by users that may negatively affect the algorithm's...

An important concern is that algorithms can inadvertently discriminate against minority groups and reinforce existing inequality. Typically, the worry is that when classification algorithms are trained on a dataset that itself reflects bias this may reinforce bias. However, in the world of...