The United States is often credited as thebirthplace of the franchise, and at the present time, North America stillcontains the most franchisors’ headquarters in the world. This reviewexamines the prevalence of franchising among developed nations in NorthAmerica, the Pacific Rim, and other...

Although franchising has been successful in theU.S. and other developed nations, franchising is still being explored inemerging countries and developing economies. The goal of this research istwofold: to identify the characteristics of an emerging market, as basedon franchisor specifications,...

The paper examines the determinants of growth of Sub-Saharan Africa (SSA) in the past decade from a macroeconomic perspective. Particularly, we test the impacts of net FDI inflows, as well as China's FDI on GDP growth of Sub-Saharan African countries, respectively. By using the data from 44...

This study examines the use of analytic techniques to develop a model that predicts the potential default of Small Business Administration (SBA) backed loans issued to American franchisees. Data collected by World Franchising (WF) in their 2008 survey and by SBA from 2000-2008, covering 271...

Although China has claimed since 2005 that it will move towards a more market-oriented system of managing its foreign exchange, it has remained in part a managed economic system. This article examines the relative importance of market force and currency arrangements in determining the RMB...

This second edition of this publication provides an overview of important contemporary issues relating to foreign direct investment (FDI) and multinational enterprises for all those who are interested in this subject, but are not always in a position to follow diverse perspectives and what is...

This article uses automated machine learning to discover the most relevant determinants of non-fungible tokens (NFT) prices. NFTs pricing is affected by several internal and external factors, including market conditions, network factors, and NFTs features. Automated Machine Learning (AML) is a...