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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.

After completion of the case study, students will be able to examine the financial implications of Maghreb Steel’s substantial investment in the Blad Assolb complex in 2007 within the restructuring plan; explore how this decision influenced the company’s financial health and strategic position in the steel market, within the context of the restructuring plan; assess the impact of the 2008 economic crisis within the restructuring plan; analyze how the crisis affected the company’s pricing strategies, profitability and overall business strategy; investigate the financial and strategic consequences of the hot rolling activity initiated as a result of the Blad Assolb project within the company’s restructuring plan; and critique how this venture impacted the company’s operations, cost structure and competitiveness in the steel industry, aligned with the restructuring plan.

This case study deals with the only flat steel producer in Morocco: Maghreb Steel, the Moroccan family-owned company created in 1975 by the Sekkat family. It was a leading steel company. At the beginning, the company was specialized in the field of steel tubes, but thanks to its growth ambitions, the Sekkat family had made Maghreb Steel a major player in the Moroccan steel sector. In the same logic of development, the top management of Maghreb Steel launched in 2007 in the adventure to create the first production complex of cold rolling in Morocco – an investment that pushed Maghreb Steel to resort to a debt of more than 6bn dirhams (DH) with a consortium of six banks and would have allowed the company a huge leap in growth, except that the decision-makers of the group Sekkat could not see coming the economic crisis of 2008 causing the fall of steel prices by 62% compared to 2007. Thus, from its effective launch in 2010, the activity of hot rolling would become, for the company, a regrettable orientation. Moreover, the national market could not absorb all the production of the complex that the company called Blad Assolb. In response to this difficult situation, Maghreb Steel decided to store its goods to avoid selling at a loss. Faced with this situation of sectoral crisis and deterioration of its activity, Maghreb Steel lost its ability to honor its financial commitments with the banking consortium. From then on, the company became a case of failure, and the recovery measures had not ceased to be duplicated by the various stakeholders: State, Sekkat family, creditors and management of the company, having only one objective in mind: Save Maghreb Steel! This said, the present case study is dedicated to the financial and strategic analysis of the current situation and the evolution of the company throughout the crisis period to finally propose a suitable recovery plan to save Maghreb Steel.

The case study can be taught to students of master’s degrees in financial management as a synthesis of finance courses. It can also be used to train executives and managers working in family businesses as part of professional certification training.

Teaching notes are available for educators only.

CSS 1: Accounting and finance.

After completion of the case study, the students will be able to analyze the role of industry in strategic decision-making, examine the information and make judgments with the use of different models such as political, economic, social, technological, environmental & legal (PESTEL) and Porter’s five forces and formulate a marketing strategy for the future move of Diwan & Co. using the Company, Competitors, and Customers (3Cs) model.

This case study is about young entrepreneur Mr Mansha Ram, who was working in the battery industry and was contemplating launching a new product. A gap was found after extensive research. The research showed that there is a gap between sustainable, reliable and cost-efficient batteries in the market that must be filled. To discuss this opportunity, a meeting was called where all managers talked about their concerns, considering the cost constraint as well as shifts in Pakistani battery industry trends. Ram was a key person who had to decide whether to launch the product or not. Should he go for a new initiative and launch lithium-ion batteries or capitalized on existing technology, which was lead acid batteries? Which path should he take considering all the macroenvironmental factors, electric vehicles or renewable energy?

This case study can be taught in the final year of undergraduate classes and the first year of MBA classes. This case study is particularly designed for students to understand how a company makes decisions while keeping in view the macro- and microbusiness environment. Even if some businesses do not have cost constraints, these businesses still face the impact of other factors on their businesses, for that purpose, the case study will provide insights into why a comprehensive industry analysis is important. Furthermore, this case study keeps in view the competitiveness of the market and its impact on the decision-making of companies.

Teaching notes are available for educators only.

CSS 8: Marketing.

This paper investigates the relationship between the sustainable finance disclosure regulation (SFDR) and the performance of unlisted real estate funds.

While existing literature has primarily focused on the impact of voluntary sustainability disclosure, such as certifications or reporting standards, this study addresses a significant research gap by constructing and analyzing the financial J-Curve of 40 funds under the SFDR. The authors employ a panel regression analysis to examine the effects of different SFDR categories on fund performance.

The findings reveal that funds categorized under Article 8 of the SFDR do not exhibit significantly poorer performance compared to funds categorized under Article 6 during the initial phase after launch. On average, Article 8 funds even demonstrate positive returns earlier than their peers. However, the panel regression analysis suggests that Article 8 funds slightly underperform when compared to Article 6 funds over time.

While investors may not anticipate lower initial returns when opting for higher SFDR categories, they should nevertheless be aware of the limitations inherent in the existing SFDR labeling system within the unlisted real estate sector.

To the best of our knowledge, this study represents the first quantitative examination of unlisted real estate fund performance under the SFDR. By providing unique insights into the J-Curves of funds, our research contributes to the existing body of knowledge on the impact of sustainability regulations in the financial sector.

The field of behavioural finance analyses the effects of mental factors on financial decisions including risk. If you want to know how people think about money and investments, you need to study behavioural finance. People’s attitudes about investing were uncovered through this study. Hence, their views on financial investing. Overconfidence, perception, representative, anchoring cognitive dissonance, regret aversion, limited framing, and mental accounting are only few of the behavioural finance concepts that are discussed in this article, along with their effects on stock market investor decision making. In order to poll 181 Bangalore investors, we employed a conventional questionnaire. The primary focus was on learning how behavioural financing influences investors and their investment choices. Our secondary objective was to study behavioural finance and investor psychology.

The purpose of this study is to investigate if a firm's exchange complexity profile (that is, the linkages between the firm and its environment) influences investor behavior at the negotiation table where a firm valuation is derived.

The authors utilize Qualitative Comparative Analysis (QCA). Specifically, the authors utilize fuzzy-set Qualitative Comparative Analysis (fsQCA), a QCA variant that allows the researcher to assign graduated membership in sets.

When the authors dichotomize their positions as either higher stakes that favor the seller (high capital, low equity, high valuation) or lower stakes that favor the buyer (low capital, high equity, low valuation), and when the authors focus primarily on the equity outcome, the authors find that investors adopt a reductionist stance that adheres to a transaction cost economics logic under conditions of lower stakes and higher complexity as well as higher stakes and lower complexity conditions. The authors interpret this to mean that equity serves as a counter-balancing lever for a firm's exchange complexity configuration.

On a theoretical level, the authors showcase the exchange complexity framework and differentiate its position within the extant frameworks that address a firm's competitive advantage. More generally, the authors note that this framework brings the discipline of micro-economics and the field of strategic management closer together, providing scholars with a new tool enabling research across industries for the portfolio level of analysis.

This paper aims to address the question: What is the distribution of value (in pounds) created in a sample of domestic takeovers in the United Kingdom from 2013 to 2020 among acquirer and target stockholders?

The author employs a traditional event study methodology to calculate the percentage excess returns of companies on the announcement date. These returns are then converted into pound-denominated excess returns using the companies' market capitalizations. This allows the author to estimate the synergies of the mergers and acquisitions (M&As) and how they are allocated between acquirers and targets. This innovative transformation from percentage to pound excess returns establishes a new ratio methodology for addressing the paper's objective.

This paper reveals that in UK takeovers, 40 percent of the synergies in pounds are allocated to the stockholders of acquiring companies, while 60 percent go to the stockholders of target companies. In other words, acquirers retain a significant portion—more than half—of the synergies generated in these domestic deals. This original finding is statistically significant at the one percent level and strongly contradicts the hypothesis that acquirers, at best, merely break even.

The evidence that UK takeovers distribute value gains nearly equally between domestic deal parties challenges the enduring conventional insight in the M&A literature. This conventional wisdom suggests that the value created by business combinations is entirely distributed to target company stockholders. Consequently, this reexamination may have broader implications, offering an alternative perspective on the motives behind business combinations. This perspective differs from the “managerial hubris hypothesis,” which aligns with the prevailing conventional insight but receives limited support in the original finding reported here.

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.