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The paper aims not only to provide evidence of the Jungian personality theory in the context of management through managers' lived experience but also to ask a deeper question of what this theory–practice coherence entails.

Situated as preliminary, this study used a phenomenological approach to detail managerial accounts across four managers in an Indonesian higher education institution. A survey of personality types using an online Jungian-based personality assessment tool was conducted, followed by an in-depth interview with selected managers.

The study provides the following evidence: the coherence between the perceived managerial practices and the theorized cognitive processes of each personality type and between the way the instrument measures personality types and the theorized cognitive processes.

While the study faces an issue of data saturation, given the sample size, the study has conducted the process of triangulation by sampling managers with resembling cognitive processes as theorized (INTJ, with ENTJ; ISFJ with ESFJ). A broader implication is around the use of qualitative, phenomenological approach to the study of personality types and cognitive processes.

Promoting diverse ways of managing based on personality types, this paper includes implications specifically for developing managers in charge of core business processes in terms of flexibility when managing and leading a team.

This paper presents an account of how personality types (through their dominant cognitive functions) resonate with real-life managerial practices, connecting the descriptive nature of personality types and the normative nature of management.

The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives.

This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains.

The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles.

This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains.

This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

This study aims to fill the gap in collaboration culture improvement by designing an information-sharing system as an enabler to support the forming dimensions of the collaboration process in previous studies. The authors propose the appropriate system to eliminate the collaboration culture gaps between the related functional units based on in-process interaction learning in a business process outsourcing company.

This study employed action research (AR) based on soft systems methodology (SSM) with a system thinking approach, in which the authors and process actors design the agreed information-sharing system by involving the process actors in identifying the initial problem situation as well as validating the conceptual model through discussions and designing the expected system.

This study discovers that SSM-based AR is a suited method for designing a system that supports the formation of collaboration culture among actors in the digital service creation process by learning user perceptions and expectations in order to obtain their commitment to empower the proposed system.

In addition to providing a system to minimize the lack of collaboration culture, this study contributes to the academic literature by offering a new way of planning and designing in a system development methodology using soft systems approaches to understand user perceptions, expressing user interaction in a conceptual model and validating it and defining agreed activities to obtain the best design according to user expectations.

The purpose of this study is to develop an ecosystem-based DRR concept and explore how far the concept can be applied in a disaster-management context.

The authors used the ecosystem concept established by Tsujimoto et al. (2018) as the foundation of this study. They then conducted a literature search to adapt the ecosystem concept to fit the context of disaster management. Thus, they developed an ecosystem-based DRR concept. They used a case study method to test whether the adapted ecosystem concept can be applied to examine a real-life case of disaster management. For data collection, they used qualitative methods; a semi-structured interview with practitioners and other actors involved in disaster-management practice as well as document review. For data analysis, they used thematic analysis to find themes within the data.

By using this concept, the authors found some actors fulfil their role in the ecosystem toward the DRR effort, some actors are ill-equipped, and some actors are actively working against DRR effort. There are also implementation challenges, as numerous programs are only halfway done due to a lack of resources. However, the main problems of this disaster can be summarized into three categories: technical problems, socio-economic problems and law-enforcement problems. All three problems need to be addressed altogether because even neglecting only one problem would lead to a flawed solution.

One of the limitations is the respondents' bias. This research aims to find out their part, or more accurately what they are representative of, regarding disaster management for forest and land fire case. As some of the questions may reveal unflattering action or may even hurting their credibility, respondents might not have provided an entirely honest answer. Another limitation is the differing respondents' roles within the disaster. As each of the respondents is a representative of an actor in disaster management, they all have different traits. Thus, this situation makes it challenging to produce similar quality and quantity data for each of them.

As concluded, the ecosystem-based DRR concept can be used as a framework to examine a real-life case of disaster management. It can be utilized to explain roles, relationships and the whole network of disaster-management actors. The authors hope that this concept could help decision-makers in designing their policies.

The main problems of this disaster can be summarized into three categories: technical problems, socio-economic problems and law-enforcement problems. All three problems need to be addressed altogether for even neglecting only one problem would lead to a flawed solution. However, the yearly reoccurrences of fires and the widespread of illegal and dangerous practice, slash and burn agriculture, are evidence that the government mishandles the other two problems. There is a need for reform within legal institutions and government's treatment regarding local farmers. There is a need for trust, cooperation and synergy between disaster-management actors.

The ecosystem concept has been used widely in the field of management of technology and innovation. However, while ecosystem concept is commonly used in the management of technology and innovation, it is rarely used in a disaster-management context.

The lack of studies about the response time of emergency medical service during the coronavirus disease 2019 (COVID-19) pandemic in a dense city of a developing country has triggered this study to explore the factors contributing to a high response time of ambulance service to reach patients in need. An evaluation of contributing factors to the response time is necessary to guide decision-makers in keeping a high service level of emergency medical service.

This research employed an agent-based modeling approach with input parameters from interviews with emergency medical service staff in Bandung city, Indonesia. The agent-based model is established to evaluate the relevant contribution of the factors to response time reduction using several scenarios.

According to agent-based simulation, four factors contribute to the response time: the process of preparing crew and ambulance during the pandemic, coverage area, traffic density and crew responsiveness. Among these factors, the preparation process during the pandemic and coverage area significantly contributed to the response time, while the traffic density and crew responsiveness were less significant. The preparation process is closely related to the safety procedure in handling patients during the COVID-19 pandemic and normal time. The recommended coverage area for maintaining a low response time is 5 km, equivalent to six local subdistricts.

This study has explored the factors contributing to emergency medical response time. The insignificant contribution of the traffic density showed that citizens, in general, have high awareness and compliance to traffic priority regulation, so crew responsiveness in handling ambulances is an irrelevant factor. This study might have different contributing factors for less dense population areas and focuses on public emergency medical services provided by the local government.

The local government must provide additional funding to cover additional investment for ambulance, crew and administration for the new emergency service deployment point. Exercising an efficient process in ambulance and crew preparation is mandatory for each emergency deployment point.

This study evaluates the contributing factors of emergency medical response time in the pandemic and normal situation by qualitative analysis and agent-based simulation. The performance comparison in terms of medical response time before and after COVID-19 through agent-based simulation is valuable for decision-makers to reduce the impact of COVID-19.

The lack of studies about the relevance of disaster awareness factors and disaster evacuation as a part of disaster responses especially for fire cases in an academic environment in Indonesia has triggered this study to explore the disaster awareness factors and evacuation experiment without emergency alarm for case study students in the classroom. The relevance of disaster awareness factors in transforming into practical action and decision in a disaster evacuation need to be examined to study the relevance of both phases in disaster.

This research conducted a quantitative approach by studying questionnaires from 162 respondents collectively divided into five groups to examine the student disaster awareness factors randomly from those groups. The qualitative approach was implemented through the evacuation experiments that were conducted twice to analyze the disaster evacuation performance. The analysis for the relevance is conducted by comparing the result of the questionnaire study and the evacuation experiment.

According to the questionnaire study, generally, the students are highly confident with their hazard knowledge in disaster awareness except that half of them are doubtful about appropriate steps in a disaster. The experiment without explosive sound showed that they have slower responses in the critical moment of evacuation. The response in the experiments showed relevance with several disaster awareness factors

This study has explored the relevance of disaster awareness factors with disaster response in a campus building. In the part of reducing risk during fire disaster, this research shows the importance of social interaction and hazard knowledge during the disaster.

The improvement of disaster evacuation procedures and training in a campus building is mandatory to reduce disaster risk based on the relevance of disaster awareness factors and disaster response in this study.

This study measures the relevance of disaster awareness factors performance of the students by comparing it to their actions and decisions in an experimental setting of fire building. The disaster awareness factor performance was measured by a questionnaire survey while the experiments were deployed to observe the performance of their actions and decisions during evacuation as part of the disaster response phase.