This technical note and manual (TNM) addresses the following questions: What is a business continuity plan (BCP) and what are its main components? What are a BCP's key design considerations for an epidemic? What are the organizational and management arrangements for a BCP? How does a BCP...

This special issue of Business Systems Research (SI of the BSR) is co-published by the Slovenian Society INFORMATIKA - Section for Operational Research (SSI-SOR) and highlights recent advances in Operations Research and Management Science (OR /MS), with a focus on linking OR /MS with other areas...

This paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the...

Apart from the loss of time and money, disputes between public authority and private partner in China’s public-private partnership (PPP) projects are destroying the government’s image of PPP support and the private partner’s investment confidence. This article aims to explore the main...

The continuing problem of the poor performance of IT projects could be exacerbated by the tech talent crisis that organizations are facing. Most of the prior research on IT project management at the organizational level has focused on maturity in organization-wide processes, such as the...

This paper develops a global simulation-based solution method to solve large states space macro-finance models using machine learning. We use an artificial neural network (ANN) to approximate the expectations in the optimality conditions in the spirit of the parameterized expectations algorithm...

A growing number of emerging studies have been undertaken to examine the mediating dynamics between intelligent agents, activities, and cost within allocated budgets, in order to predict the outcomes of complex projects in dint of their significant uncertain nature in achieving a successful...

This paper develops a simulation-based solution method to solve large state space macrofinance models using machine learning. We use a neural network (NN) to approximate the expectations in the optimality conditions in the spirit of the stochastic parameterized expectations algorithm (PEA)....

While crowdfunding has grown enormously, creating successful projects remains a major challenge. Few studies have shown how to improve a project proposal when designing a project. One potential yet unexplored approach is to apply the concept of combinatorial creativity, analyzing a new project...