System dynamics research has made numerous contributions to a range of management subfields including: operations; organization behavior; marketing; behavioral decision making; and strategy. In this paper, we focus on the role for system dynamics research to make important progress on the...

This paper proposes a simple and crude way of approximating the XVA sensitivities. In short, the idea is simply to recycle the existing base simulated portfolio values for the bumped ones. This is done by re-simulating the risk factors for the bumped market and finding out which other base state...

The development of new theory is often spurred by novel techniques that provide better answers to existing questions, or that allow asking new ones. In the field of strategy and organization science, models of complex adaptive systems have renewed theoretical work on a fundamental question: how...

Ideas from employees are a major source of value creation in firms, yet the merits of rewards for incentivizing the generation of ideas are highly contested. Using a computational model, we show that firms can improve performance by offering low-powered rewards for the selection and...

This study develops a proposed model based on the Analytical Hierarchical Process model (AHP) and Standard and Poor's/ Egypt Stock Exchange Environmental, Social and Governance Index (S&P/EGX ESG) to measure and maximize the company's corporate social responsibility (CSR) performance. The...

In this paper we argue that pricing is all about price changes, and that the costs of price changes are often simultaneously subtle and substantial. We discuss a framework to deal with the dynamics of changing prices. This framework incorporates customer interpretations of price changes, an...

This study aims to analyze the influence of dynamic pricing and dynamic bundling on the unfairness pricing perception which ultimately determines the level of general authority in buying a product / service. 340 respondents were made as samples after going through the screening process. The...

We propose a new hybrid recommender system that combines some advantages of collaborative and content-based recommender systems. While it uses ratings data of all users, as do collaborative recommender systems, it is also able to recommend new items and provide an explanation of its...