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The aim of this paper is to advance applied theoretical knowledge on international business (IB) ideation by designing the managing of such ideation as three recursive, multi-competence-enabled systems.

The core principles of Beer’s (1985) Viable System Model are adopted for this system design task. The Viable System Model consists of five interacting sub-systems that can support a viable IB unit.

The contribution of this design of the three recursive, multi-competence-enabled systems will be three novel pieces of the applied theoretical knowledge about recursivity and competences that advance the management of an IB unit as a whole and in particular that of IB ideation.

For future research, I initially propose that the IB ideation (unit) is being managed the more successfully within its focal contexts, the more extensively the IB ideation is designed as a set of three recursive systems enabled by respective multi-competences. Moreover, the 3-system design may serve as the frame of reference for those compatible theorization initiatives vis-à-vis viable IB ideation management that interested competence-based management scholars will conduct in the future.

I put forth the three templates (coupled with Functions 2–3) to facilitate the enhancement of the IB ideation practices among leading, innovative firms and especially by the pioneering management of IB (ideation) units.

We conduct an experiment asking participants to choose to purchase either a traditional or hybrid car to examine how federal-state conformity of tax incentives impacts the decisions of taxpayers. We also examine perceptions of taxpayers surrounding federal-state conformity. Consistent with theory related to the effects of information environment and using an experiment in which taxpayers are asked to evaluate tax incentives related to a purchase decision between a traditional and hybrid car, we find that conformity is a significant factor in increasing the propensity to take advantage of the tax incentive. Specifically, we find that participants with simple and conforming federal-state incentives are more likely to take advantage of the tax incentive than with complex and conforming federal-state incentives. In addition, the effects of conformity between federal and state incentives suggest that participant perceptions of the federal system were heavily influenced by the actions of the state.

Research on self-regulation has tended to focus on goal-related performance, with limited attention paid to individuals’ affect and the role it plays during the goal-striving process. In this chapter we discuss three mechanisms to integrate affect within a control theory-based self-regulation framework, and how such integrations inform future research concerning employee stress and well-being. Specifically, affect can be viewed as a result of velocity made toward one’s desired states at work. Fast progress results in positive affect, which enhances employee well-being and reduces the detrimental effects associated with exposure to occupational stressors. On the other hand, slow or no progress elicits negative affect, which induces employee distress. Second, affect can also be considered an input of self-regulation, such that employees are required to regulate their emotional displays at work. Employees who perform emotional labor compare their actual emotional display against the desired display prescribed by display rules. Third, affect can function as a situational disturbance, altering employees’ perceptions or assessments of the input, comparator, and output for other self-regulatory processes.

This chapter takes a closer look at the integration process of the Western Balkan states. At first we will look at the procedures to join the EU, followed by some general information about the countries of the Western Balkans. Building on this, the path and the current results of the individual countries towards EU membership are reviewed. At the end, a closer look at the Berlin Process shows a concrete example how the individual Western Balkan states work with the EU. This allows an outlook how the enlargement process might continue in the coming years.

Option models have provided insight into the value of flexibility to switch from one state to another (such as switching a mine or refinery from operating to closed status). More complex flexible processes offer multiple possibilities for switching states. A fabrication facility, for example, may offer options to shift from the current status to any of several alternatives (reflecting reconfiguration of basic facilities to accommodate different operating processes with different outputs). New algorithms enable practical application of complex option pricing models to flexible facilities, improving analysts’ ability to draw sound conclusions about the effects of flexibility and innovativeness on share value. Such models also apply for options with information items as the underlying assets. Information organizations such as oil exploration and development companies may include options to shift from the current capability to any of several alternatives reflecting added abilities to handle new information sources or apply the organization’s talents in new ways. In the case of either physical or information processing, careful attention to estimating the matrix of correlations among the values of potential alternative states allows explicit integration of financial analysis and strategic analysis – especially the influence of substitutes and the anticipated reactions of competitors, suppliers, and potential new entrants.

The success rate of business rescue in South Africa is concerningly low as it currently ranges between 10% and 12%. This study intends to make a positive contribution towards addressing this problem by obtaining insight from professional business rescue practitioners regarding the feasibility of making use of the practice of business rescue to assist South African state-owned enterprises to avoid them going into insolvency and indefinitely stopping operations. This study, which is a generic qualitative study, will rely solely on the experience and insights of the business rescue practitioners in order to obtain a better understanding of the problem at hand. Nine participants were interviewed during September and October 2020. The study found that business rescue practitioners are confident that the business rescue proceedings are a solution to preserving state-owned enterprises. However, the level of political interference by the unions, government officials, and also the continued bailouts from the government to support these state-owned entities are some concerns raised by the participants as they hinder the effectiveness of the proceedings with regard to state-owned enterprises. Academically, the study expands to the literature on business rescue in the context of state-owned enterprises and what challenges are hindering the process. For managers, the study identifies the key constraints which are most likely to be encountered when conducting business rescue proceedings in a state-owned enterprise which, if not observed, will negatively impact the success rate.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.