This paper conceptualises foreign aid as a geopolitical form of rent in order to help distinguish the conditions under which aid is detrimental to sustained economic recovery from those where it is beneficial. Foreign aid shares with natural resource rent and contrived (i.e., government monopoly) rent the property of being a large revenue stream that is detached from the economic activity that ...

Suppose a bank has a database of people’s details and their credit rating. These details would probably be the person’s financial characteristics such as how much they earn, whether they own or rent a house, and so on, and would be used to calculate the person’s credit rating. However, the process for calculating the credit rating from the person’s details is quite expensive, so the bank would ...

Over the past century, the tuna canning industry has been dominated by a few big companies, some of them having changed of ownership or merged: these oligopolistic firms are the “big three” in the USA, Van Camp, Star Kist, and Bumble Bee, the French Saupiquet, the Italian Trinity Alimentari and the Spanish Calvo in Europe, and, a bit later, the Thailandese groups Thai Union and Sea Value. Speci...

Software as a Service (SaaS) provides access to applications to end users over the Internet without upfront investment in infrastructure and software. To serve their customers, SaaS providers utilise resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider. In-house hosting can increase administration and maintenance costs whereas renting fr...

This paper describes the logical evolution of IT service provisioning through various delivery models over time concentrating on the “rent” era as well as the “market” era – an emerging external IT services marketplace that offers rich opportunities for IT organizations to become more cost-effective in the future. With the market era, IT organizations speculate that strategic business applicati...

Abstract: 
 Recently, there have been studies on the use of machine learning algorithms for price prediction in many different areas such as stock market, rent a house and used car sales. Studies give information about which algorithm is more successful using methods. The most commonly method linear regression model. In our study, we examined effectiveness model prediction. applied data se...

Rental Harmony is the problem of assigning rooms in a rented house to tenants with different preferences, and simultaneously splitting rent among them, such that no tenant envies bundle (room+price) given another tenant. Different papers have studied this under two incompatible assumptions: miserly assumption each prefers free room non-free room; quasilinear attributes monetary value room, whic...