Understanding and managing complexity through Bayesian network approach: The case of bribery in business transactions

Managing complex business problems requires decision makers to take a systemic perspective and utilize tools that can generate knowledge from the interdependencies of system’s properties. As such, current research focuses on an important yet ambiguous problem–bribery. Using Global Competitiveness Index data provided by World Economic Forum, authors constructed analysed Bayesian network delineate ‘system’ bribery in transactions. In this context, they first determined factors related activities then developed structural model (the network). Through scenario sensitivity analyses performed over model, identified have greatest impact activities. They further resulting based countries’ stage economic development order provide manager policy maker with more informative diagnostic tool understand deal locally globally.