Technology and business practice adoption as a constrained shortest path problem

A constrained shortest path algorithm is developed and implemented in Matlab to optimize the management decision-making process, which is a potential tool for managers. The constrained shortest path algorithm we developed is tested against other leading methods in the literature and is found to be competitive. The tests are run on randomly generated constrained shortest path problems of varying degrees of complexity with the algorithm performing well on all levels.