Rawls (1958) suggested that it is possible to arrive at a fair allocation in a 2-player Nash demand game by granting equal gains to both players. Rawls theorized that players themselves would select this allocation if they bargain from the 'original position'. Harsanyi (1958) suggested the...

Crowdsourcing platforms provide a venue where firms looking for solutions (seekers) and individuals who can provide solutions (solvers) interact with each other. As crowdsourcing contest platforms have grown in popularity with numerous tasks being posted on a daily basis, a concern that has...

Prior work on software release policy implicitly assumes that testing stops at the time of software release. In this research, we propose an alternative release policy for custom-built enterprise-level software projects, which allows testing to continue for an additional period after the...

Many software products are available free of charge. While the benefits resulting from network externality have been examined in the related literature, the effect of free offer on the diffusion of new software has not been formally analyzed. We show in this study that even if other benefits do...

In Web-based environments, a site has the ability to recommend multiple items to a customer in each interaction. Traditionally, rules used to make recommendations either have single items in their consequents or have conjunctions of items in their consequents. Such rules may be of limited use...

Business analytics has evolved from being a novelty used by a select few to an accepted facet of conducting business. Recommender systems form a critical component of the business analytics toolkit and, by enabling firms to effectively target customers with products and services, are helping...

Church and King (1993) develops a model of bilingualism, in which they talk about multihoming in language networks. Doganoglu and Wright (2006) talks of multihoming in the presence of price competition. As per the literature available in the public domain, we have not come across any theoretical...

Personalization and recommendation systems require knowledge about the users (user profiles), in order to be able to target products, promotions and advertisements. The faster the profiles are learnt, the sooner the site can start benefiting from these systems. We study how a site can learn the...

In some classification domains, firms face agents who actively manipulate their information to mislead the firm about their true types so as to avoid unfavorable decisions as a result of the classification. In such domains, firms should take the possibility of applicants' faking behavior into...