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After completion of the case study, the students would be able to identify and evaluate organizational culture as a critical element of organizational resilience and assess its fit to the business context, evaluate different elements of organizational resilience and their contribution to business adaptation and develop leadership approaches that help adapt and leverage organizational culture to foster individual, team and organizational resilience.

This teaching case covers topics of organizational leadership, including organizational culture and organizational resilience. This case study is appropriate for the postgraduate and executive education programmes. This case study covers the approach to organizational leadership and resilience of the OKKO, a Ukrainian retail petrol station network. The dilemmas considered by top managers of the company emerged in February–April 2022 amid the unfolding Russian invasion of Ukraine. The case study protagonists solved multiple business and organizational dilemmas to continue efficient business operations while allowing the organization to adapt to a complex and fast-changing environment. They leveraged a distinct corporate culture, strong employee engagement and established business processes and management practices to ensure the viability of the business.

This case study is appropriate for postgraduate and executive education programmes. The level of difficulty is light to medium. Recommended pre-requisites are understanding human resources management terminology and reviewing preparation materials. The case study is suitable for teaching courses in leadership, people management and organizational development that cover corporate culture, leadership and organizational resilience.

CSS 6: Human resource management

Teaching notes are available for educators only.

Challenges of property data in developing markets have been reported by several authors. However, a deep understanding of the actual nature of this phenomenon in developing markets is largely lacking as in-depth studies into the actual nature of data challenge in such markets are scarce in literature. Specifically, the available literature lacks clarity about the actual nature of data challenges that developing markets pose to valuers and how this affects valuation practice. This study provides this understanding with focus on the Lagos property market.

This study utilises a qualitative research approach. A total of 24 valuers were selected using snowballing sampling technique, and in-depth semi-structured interviews were conducted. Data collected were analysed using thematic analysis with the aid of NVivo 12 software.

The study finds that the main data-related challenge in the Lagos property market is the lack of database of market property transactions and not the lack or absence of transaction data as it has been emphasised in previous studies. Other data-related challenges identified include weak property rights institution with attendant transaction costs, underhand dealings among professionals, undocumented charges, undisclosed information, scarcity of data relating to specialised assets and limited access to the subject property and required documents during valuation. Also, the study unbundles the factors responsible for these challenges and how they affect valuation practice.

The study has implication for practice in the sense that the deeper knowledge of data challenges could provide insight into strategy to tackle the challenges.

This study contributes to the body of knowledge by offering a fresh and in-depth perspective to the issue of data challenges in developing markets and how the peculiar nature of the real estate market affects the nature of data challenges. The qualitative approach adopted in this study allowed for a deep enquiry into the phenomenon and resulted into an extended insight into the peculiar nature of data challenges in a typical developing property market.

The purpose of this study was to explore how transport companies in Uganda execute strategies in a turbulent business environment.

The study adopted an exploratory qualitative methodology using the data collected through an open-ended instrument. Utilizing the qualitative data analysis software QSR NVivo9, the data were analyzed following the Gioia's methodology. Verbatim texts were used to explain the emergent themes.

The study's findings show that to successfully execute strategies, companies in Uganda communicate, coordinate and put control systems in their operations. The activities undertaken include customer care, timely settlement of complaints, comfortable seats, playing local music, partnerships with reliable fuel stations, setting up strategic offices, cost management, use of experienced drivers, sub-renting vehicles and inspections.

The study produces a pioneering result of how transport companies execute strategies in a turbulent business environment, an aspect that has not been adequately highlighted in previous studies.

The popular uprising (Aragalaya) combined a protest movement with a movement towards commons or a solidarity economy. The popular uprising from March to August 2022 was a reaction to the authoritarian heteropatriarchal Rajapaksa regime, which drained public revenues instigating an economic crisis. The Aragalaya was based on non-violence, independence from political parties, participatory democracy, collective leadership, politico-aesthetic strategies (art activism) and collective learning. While there were multiple contradictions, along with state repression, the Aragalaya expressed new forms of solidarity, strengthening struggles for democracy and citizenship.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

This research paper aims to examine the asymmetric impact of income and price on household consumption of kerosene in Cameroon.

The methodological approach consists of testing for stationarity using the augmented Dickey–Fuller and Andrews and Zivot tests, determining cointegration using nonlinear autoregressive distributed lag (NARDL) test approach and finally examining asymmetry using the Wald test.

Results of the stationarity tests reveal that variables are all integrated of order less than two I(2). The NARDL approach indicates that the (positive and negative) income shock and the positive price boom negatively influence consumption in the long- and short-run. The same is true for the negative price shock, but the latter remains insignificant. Furthermore, the Wald test carried out in the study confirms that the cumulative effects of the positive and negative income and price shocks are asymmetric.

The increase in the price of kerosene due to the lifting of subsidies has led to a decrease in household consumption and an unfortunate increase in the loss of tree cover in Cameroon. According to the results, this phenomenon will persist even if the price is reduced. Actions aimed at reducing its production at the expense of liquefied petroleum gas, electricity and renewable energy should be encouraged to limit the loss of vegetation cover. Thus, this study could contribute to solving the problem of deforestation and desertification in Cameroon.

The purpose of this paper is to review studies on mathematical optimization of the sustainable gasoline supply chain to help decision-makers understand the current situation, the exact dimensions of the problem and the models provided in the literature. So, a more realistic mathematical optimization model can be achieved by fully covering all dimensions of the supply chain of this product.

To evaluate and comprehend the mathematical optimization of the sustainable gasoline supply chain research area, a systematic literature review is undertaken that covers material collection, descriptive analysis, content analysis and material evaluation steps. Finally, based on this process, 69 related articles were carefully investigated.

The results of the systematic literature review show the main areas of the published papers on mathematical optimization of sustainable gasoline supply chain problems and the gaps for future research in this field presented based on them.

This approach is subject to limitations because the protocol of the systematic review of the research literature only included searching for the considered combination of keywords in the Scopus and ProQuest databases. Furthermore, the protocol used in this paper restricts documents to English.

The results have significant implications for both academicians and practitioners in this field. It can be useful for academics to comprehend the gaps and future trends in this field. Also, for practitioners, it can be useful to identify and understand the parts of the mathematical optimization model, which can help them model this problem effectively and efficiently.

No systematic literature review has been done in this field by considering gasoline to the best of the authors’ knowledge and delivers new facts for the future development of this field.

The main objective of this study is to consider how to benefit efficiently from the significant potential of humanitarian operations by individuals. For this purpose, this study aims to assess failure factors in humanitarian supply chain operations after the Kermanshah earthquake considering the role of all parties, focusing on individuals who did not wish to work with formal organisations on the whole. In the aftermath of the Kermanshah earthquake, which occurred on 12 November 2017, improvised groups of Iranian civilians from all over the country played an important role in humanitarian supply chain operations as individuals. Although most of these groups sincerely intended to help the affected society, victims could not benefit properly from these significant potential humanitarian actions. On the contrary, these potential actions caused some issues during humanitarian operations, such as blocking roads, inappropriate last-mile distribution, wasting resources and so on.

This research study considers mixed methods, including an on-site survey, semi-structured interviewing and a questionnaire designed for statistical analyses. The analysis included 140 responses to the questionnaire, semi-structured interviews with 32 affected families, interviews with 5 emergency managers from the Housing Foundation of the Islamic Republic of Iran and on-site survey reports.

This study presents a framework for humanitarian supply chain management to deal with future disasters in the same area or areas with similar characteristics to the case study. In general, the results of this study demonstrate that the nature of humanitarian supply chain operations makes it impossible to consider that these operations are free of challenges. However, several influential factors, such as training humanitarian actors and integrated management, might considerably increase the efficiency of humanitarian operations by individuals.

This study highlights the influential factors of inappropriate humanitarian operations by individuals, derived from an analysis of the Kermanshah case and literature review. The authors suggest a framework to benefit from the significant potential of individuals with wide-ranging experiences and proficiency, for future cases similar to the case study.