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This study aims to contribute to the ongoing debate on behavioral operational research (BOR), specifically discussing the potential of system dynamics (SD) models to analyze decision-making heuristics. In more detail, the study suggests using an SD model as an ex-post research tool adopted not only to mimic a role-playing game (RPG) – reproducing the whole physical structure, and the complete set of decision rules specified for a supply chain (SC) management game – but also, and specifically, to replicate and analyze the players’ in-game behavior and decision-making.

After presenting a brief literature review devoted to highlighting the key concepts of the emerging streams of research named BOR and behavioral system dynamics (BehSD), the study presents the characteristics and results of an SC management-based RPG and describes the SD model that was developed to mimic the game and provide the base-run. A triangulation of data sources (which included feedback questionnaires and reports drawn up by 86 participants, as well as notes collected through direct observation of one of the authors) was used to infer information about and in-game decisions. Subsequently, four alternative versions of the SD model were calibrated to reproduce, investigate and explain ex-post the players’ in-game behavior and decision-making heuristics; this study specifically refers to one of them.

The SD model can be considered as the first output of this research. The model was calibrated to mimic the game and subsequently used to develop a few alternative models, helpful to replicate players’ behavior and analyze decision-making heuristics. The findings reveal not fully rational decisions taken by the players and share common findings with previous literature on the emergence of sub-optimal strategies (e.g. phantom ordering and hoarding strategies). The data collected from questionnaires, reports and direct observation additionally revealed that stress and behavioral factors played a role in affecting in-game decision-making.

Considering a specific RPG setting, the SD model developed in this study replicated and captured the range of factors affecting decision-making heuristics, allowing an ex-post analysis of in-game decisions. Notably, the research design presented and used in this study can be considered a generic one, which could be applied subsequently in a variety of contexts, also in combination with simulation/gaming tools and techniques different from role-playing, and both for educational and training purposes, and for research validation.

This study builds on and makes a contribution to the debate related to the emerging stream of research of BOR and more specifically, provides insights and evidence for the yet growing field of BehSD, at the same time advocating and suggesting further research in this area. Overall, the research revealed that behavioral factors may play a relevant role in driving and affecting human decision-making in simulation/gaming contexts.

Numerous studies document that students struggle to comprehend complex dynamic systems (CDS). The purpose of this paper is to describe a design framework applied to the creation of a personalized and adaptive online interactive learning environment (OILE) to support students in their study of CDS.

A holistic instructional design is applied in five steps to create the OILE. The OILE has the following characteristics: first, it presents a complex, dynamic problem that learners should address in its entirety. It then allows learners to progress through a sequence of learning tasks from easy to complex. Second, after completion of each learning task, the OILE provides learners with supportive information based on their individual performance. The support fades away as learners gain expertise. Third, the OILE tracks and collects information on learners’ progress and generates learning analytics. The OILE was tested on 57 system dynamics students.

This paper provides evidence that supports the theoretical design framework from the literature. It also provides a sample from students’ progress logs to demonstrate how the OILE practically facilitated students’ cognitive development. In addition, it provides empirical evidence regarding students’ attitudes toward the OILE that was obtained from administering two questionnaires.

In light of supportive evidence from the literature, students’ progress in the cognitive domain, and confirmative response in the affective domain, the use of personalized and adaptive OILE to support learning about CDS is considered promising.

The purpose of this paper is to examine the use of simulators as pedagogical complements to traditional case studies. The research performs experiments with a case and its accompanying simulator to assess the additional learning attained by the use of a case with its simulator as compared to using the case alone. The paper also describes the development and proposed use of cases and simulators combined.

The paper describes the development of one companion simulators, it outlines its proposed use, and it shows the results of an experiment to assess marginal learning with the simulator.

The research finds that simulators increase the understanding of subjects when used to support a case study. Students and teachers perceive the use of companion simulators as valuable.

The research provides ground for developing a new generation of case studies in which the traditional case is enhanced and augmented by simulators developed for one particular case and intended to be used only with that case.

This research has practical implications in how management is taught and learned.

The paper has implications in terms of possible changes that can be introduced to the teaching of management in business schools.

This research provides one of the few extant assessments of the learning that can be attained with the use of simulators in management education. The research proposes the creation of a new entity, the “Case+Sim” that draws on the traditional strengths of managerial case studies to be used in educating managers, but complements the case studies with simulators, which provide an added value in permitting students to test their thinking using a realistic interactive learning environment.

The purpose of this paper is to present the main characteristics of the role‐playing game “Strategic Micro‐Firm” which aims to reproduce the fundamental features of a complex supply chain.

A specific role‐playing game is presented, in which a Balanced Scorecard is used as the reporting device and is the main tool for analysing players' performance. The research design and the typical outcomes of several gaming sessions are discussed.

The paper illustrates the strengths of using this specific role‐playing game as a means for training managers to face complex and dynamic issues, such as the supply chain.

Depending on the features of the specific game and the interaction taking place, different kinds and various degrees of learning and performance improvements can occur. Therefore, it is not possible to provide a generalization.

The paper shows that gaming can play a relevant role in management training, providing free and safe environments in which players can face decision‐making issues and problem‐solving challenges.

The paper demonstrates how a specific role‐playing game maybe used in management education/training to incentivize improvements in problem‐solving skills as well as in communication and coordination. Role playing could be used for support in designing supply chain management policies, providing a safe, simulated environment where managerial strategies may be explored and discussed before their implementation. The paper's originality relates to the adoption of the Balanced Scorecard as the main reporting and performance assessment tool for the gaming experience.

The purpose of this paper is to present a dynamic macroeconomic framework that identifies the fundamental structure of public debt accumulation process in developing countries and its two way linkages with economic growth and public finances. Within this framework, the objective of this study is to identify leverage points that may be utilized to slow down debt accumulation process without slowing down economic growth.

The paper uses the system dynamics (SD) method to model and analyze the debt accumulation process. This method allows us to analyze the relationship between structure and behaviour of complex dynamic systems. This paper considers fiscal policy as the strategic element of the debt accumulation process and hence it considers seignorage and consequent inflation to be outside the model boundary. In other words the paper assumes that there exists an effective monetary policy that satisfies the objectives of the fiscal policy.

Capping debt servicing (debt relief) increases the debtor country's capacity to invest and the higher investment will raise capacity to pay debt in the future, with some of the rewards going to the creditor. Financing public investment through borrowing produces the highest Debt-GDP ratio compared to all other polices considered. Widening of the tax base to include this informal sector without increasing the tax rate and reducing the extravagant non-debt current expenditure are effective endogenous policy options that help reduce considerably the Debt-GDP ratio. The best composite policy demonstrates that a reduction in the Debt-GDP ratio does not only require exogenous assistance (debt relief) but endogenous government and private sector responsibility to maintain fiscal discipline and generate growth.

The unique characteristic of this model is the transparent way in which it represents the two-way feedback relationship between the debt, public finance and economic development taking into consideration the delays and non-linearities involved in this process.