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The purpose of the chapter is to study possible approaches to determining the notion “business system” and to describe possible optimization models of decision-making in modern business systems from the position of these approaches.

The methodology of the research includes systemic analysis, discrete event approach in simulation modeling, modeling of complex hierarchical system on the basis of turning criteria into a generalized indicator with the help of functional Kolmogorov mean, and mathematical tools of the Theory of games.

The authors study possible variants of modeling of business systems from the position of various approaches: commercial, practice-oriented, and organizational. Within the commercial approach to defining the notion “business system,” the discrete event approach to simulation modeling on the basis of Markov chains was compiled. A model of starting a certain new commodity in sales was compiled for determining the long-term strategy in the market. Within the practice-oriented approach, evaluation of effectiveness of personal as a component of business system is modeled. Within the organizational approach, two competing companies are modeled on the basis of the positional game.

Finding the optimization model of decision-making in modern business systems is impossible without of the system approach – that is, without considering possible definitions of the term “business system” and compiling the corresponding models. Only the systemic approach will allow for objective and comprehensive modeling of behavior of business systems. The offered methodologies will allow modeling evaluation of the current state of business system, changes of the system in dynamics, and its relations with other business systems.

Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower health literacy, rural healthcare systems also experience significant resource shortages, as well as issues with recruitment and retention of healthcare providers, particularly specialists. These factors combined result in complex change management-focused challenges for rural healthcare systems. Change management initiatives are often resource intensive, and in rural health organizations already strapped for resources, it may be particularly risky to embark on change initiatives. One way to address these change management concerns is by leveraging socio-technical simulation models to estimate techno-economic feasibility (e.g., is it technologically feasible, and is it economical?) as well as socio-utility feasibility (e.g., how will the changes be utilized?). We present a framework for how healthcare systems can integrate modeling and simulation techniques from systems engineering into a change management process. Modeling and simulation are particularly useful for investigating the amount of uncertainty about potential outcomes, guiding decision-making that considers different scenarios, and validating theories to determine if they accurately reflect real-life processes. The results of these simulations can be integrated into critical change management recommendations related to developing readiness for change and addressing resistance to change. As part of our integration, we present a case study showcasing how simulation modeling has been used to determine feasibility and potential resistance to change considerations for implementing a mobile radiation oncology unit. Recommendations and implications are discussed.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

An issue of managing a business (unit) as a whole successfully is perceived to belong to the fundamental issues within strategic management. This paper proposes that a business unit can be managed successfully in short and longer term in its focal contexts as a set of three recursive, competence-based, and process-based systems. Many elements of Stafford Beer's (1985) viable system model along the key competence-based theoretical bases are applied to this system design task. The outcome is an ideal, recursive template for advancing competence-based business management (CBBM) and its conceptual modeling. It is assumed that it is possible to design a business unit as a viable system that is capable of sustaining a separate existence at only three levels of hierarchy, as part of single or multi-business firms. Business-process models and their redesign processes are chosen as the 2nd-order, focal system which produces a business unit's competitiveness and solves longitudinal CBBM problems. One level of recursion down includes a unit's value creating, capturing, releveraging, and respective processes that enable to solve cross-sectional problems. One level of recursion up includes a unit's existential foresights and their crafting processes that solve existential problems. Recursivity is designed inside each system in terms of three kinds of subsystems for (a) primary value releveraging, process-model redesign, and business-foresight crafting, (b) the management of varieties in releveraging, modeling, and foreseeing, and (c) the monitoring and probing of all three systems. Systemic competences are incorporated inside respective systems. Such competences possess three flexibilities of absorption, attenuation, and amplification. At each level of recursion, a competence-based process is a unit of conceptual modeling of CBBM. A business unit is defined as a set of its purposeful processes. No thing or one is left outside them. Viability is ensured by real-time interaction and the 1st-, 2nd-, and 3rd-order feedback loops between three systems. Overall, the suggested, recursive, 3-system template is intended to serve future, compatible modeling efforts among interested, pioneering firms, professional CBBM modelers, scholars, and alike. Its novelty is produced by choosing and designing the CBBM modeling as the 2nd-order system-in-focus with its two recursions, by designing and using systemic, competence-based processes as the units of conceptualization, and by choosing and drawing the figures to illustrate the 3-system template in the ways that allow also business managers comprehend and apply the suggested template in practice.