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Untimely responses to emergency situations in urban areas contribute to a rising mortality rate and impact society's primary capital. The efficient dispatch and relocation of ambulances pose operational and momentary challenges, necessitating an optimal policy based on the system's real-time status. While previous studies have addressed these concerns, limited attention has been given to the optimal allocation of technicians to respond to emergency situation and minimize overall system costs.

In this paper, a bi-objective mathematical model is proposed to maximize system coverage and enable flexible movement across bases for location, dispatch and relocation of ambulances. Ambulances relocation involves two key decisions: (1) allocating ambulances to bases after completing services and (2) deciding to change the current ambulance location among existing bases to potentially improve response times to future emergencies. The model also considers the varying capabilities of technicians for proper allocation in emergency situations.

The Augmented Epsilon-Constrained (AEC) method is employed to solve the proposed model for small-sized problem. Due to the NP-Hardness of the model, the NSGA-II and MOPSO metaheuristic algorithms are utilized to obtain efficient solutions for large-sized problems. The findings demonstrate the superiority of the MOPSO algorithm.

This study can be useful for emergency medical centers and healthcare companies in providing more effective responses to emergency situations by sending technicians and ambulances.

In this study, a two-objective mathematical model is developed for ambulance location and dispatch and solved by using the AEC method as well as the NSGA-II and MOPSO metaheuristic algorithms. The mathematical model encompasses three primary types of decision-making: (1) Allocating ambulances to bases after completing their service, (2) deciding to relocate the current ambulance among existing bases to potentially enhance response times to future emergencies and (3) considering the diverse abilities of technicians for accurate allocation to emergency situations.

Overcrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.

The authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.

The authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.

This paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This paper aims to identify human rights violations of patients during the early periods of the COVID-19 pandemic in Ghana by investigating the experiences of people on how health-care professionals discharged their responsibilities during the time in question.

Explanatory design of the mixed methods approach was adopted, with the intention of collecting both quantitative and qualitative data sequentially, and then integrating the results at the interpretation stage. The approach enriched the quality of data collected as it offered the advantage of shedding light on the primary motivations and reasons for attitudes and behaviours and helped to provide an in-depth understanding of how individuals interpret the happenings around them and their experiences. Thus, although some amount of quantitative method was used in the data collection, the core of this paper is based on the qualitative interpretations.

The study reveals that health-care professionals, especially those in the Tema Metropolis, undermined certain fundamental human rights of patients during the early period of the COVID-19 pandemic. This includes failure to provide information to patients about treatment options and potential risks of medications; failure to seek the informed consent of patients before performing medical procedures; denial of access to medical files of patients for transfer; and inability or failure to provide medical ambulances services to patients on time.

Although many publications on human rights dimensions and health protective issues on COVID-19 pandemic are available on a global scale, still little information pertaining to experiences of individuals with health-care professionals during the early days of the COVID-19 pandemic, especially in Ghana through the lens of patient’s rights exists. This paper, therefore, fills an important gap in health-care management information, critical for policy decision-making processes regarding patient’s rights in times of pandemic control.

Public safety (communicators; e.g. 9-1-1, police, fire and ambulance call-takers and dispatchers), like many other public safety personnel (e.g. police, paramedics), (re)suffer operational stress injuries (OSIs) that are too often hidden and at a prevalence higher than the general population. Unfortunately, there are very little data for OSI rates in Canadian communicators. To the authors’ knowledge, this is the only pan-Canadian study focusing on organizational culture, and its potential influence on OSIs, within the communicator context.

The authors conducted a 179-item online survey of Canadian communicators comprising 17 validated screenings for occupational stress injuries and symptoms and four open-ended questions relating to their agency's organizational culture. The authors thematically analysed participants' open-ended responses and their screening scores.

A semi-grounded thematic approach revealed that managers and supervisors were significant contributors to negative perceptions (n = 165) of organizational culture, potentially resulting in or worsening existing OSIs. Specifically, leadership was viewed as ineffective, inconsistent, unsupportive, abusive and toxic, with limited understanding of communicator roles. Communicators described feeling devalued, particularly when leaders fail to recognize communicator OSIs, which can perpetuate stigma. Conversely, positive leaders (n = 24) were described as supportive, communicative and encouraging.

The findings suggest that while leadership behaviours are a key factor in employee well-being, it varies considerably across agencies, impacting treatment-seeking behaviours. The authors’ new understandings of leaders' roles in OSIs may help reduce the frequency and severity of communicator OSIs, helping ensure that emergency services are delivered to Canadians.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

This paper aims to investigate the potential role of the Emergency Department (ED) layout in enhancing its functionality. It applies a performance-based building design (PBBD) approach to evaluate emergency department functionality and efficiency as the most important criterion behind the success of the hospital service.

A quantitative approach based on space syntax theory was adopted through four syntactic maps (isovist, axial, convex, and visibility graph analysis VGA), to depict three case studies in Erbil city hospitals by analyzing three different layout typologies of ED such as Podular, Ballroom and Linear through measuring wayfinding, accessibility, privacy, visibility, time spend-length of stay and corridor circulation as layout factors.

This paper provides empirical insights on how the ED layout typology factors significantly affect producing functionally efficient EDs, whereas the Ballroom ED layout typology is the most effective compared to others. Given the importance of ED in enhancing a healthy environment for patients and staff, study findings are valuable resource for health designers, who play a critical role in ensuring patients enjoy a healthy and safe environment.

This paper has attempted to identify the appropriate layout of ED for effective functional performance in hospitals. A syntactical analysis between three different ED layout typologies based on the layout variables has been analysed using the PBBD approach. There has been no attempt carried out so far to analyse the functional performance of the PBBD approach in different ED layouts using layout variables.

This study explores how a small minority of social entrepreneurs break free from third sector constraints to conceive, create and grow non-profit organisations that generate social value at scale in new and innovative ways.

Six narrative case histories of innovative social enterprises were developed based on documents and semi-structured interviews with founders and long serving executives. Data were coded “chrono-processually”, which involves locating thoughts, events and actions in distinct time periods (temporal bracketing) and identifying the processes at work in establishing new social ventures.

This study presents two core findings. First, the paper demonstrates how successful social entrepreneurs draw on their lived experiences, private and professional, in driving the development and implementation of social innovations, which are realised through application of their capabilities as analysts, strategists and resources mobilisers. These capabilities are bolstered by personal legitimacy and by their abilities as storytellers and rhetoricians. Second, the study unravels the complex processes of social entrepreneurship by revealing how sensemaking, theorising, strategizing and sensegiving underpin the core processes of problem specification, the formulation of theories of change, development of new business models and the implementation of social innovations.

The study demonstrates how social entrepreneurs use sensemaking and sensegiving strategies to understand and address complex social problems, revealing how successful social entrepreneurs devise and disseminate social innovations that substantially add value to society and bring about beneficial social change. A novel process-outcome model of social innovation is presented illustrating the interconnections between entrepreneurial cognition and strategic action.

This article aims to examine the role of boundaryless career orientation in influencing Internet professionals' strategies toward workplace problems in China's Internet companies, which feature prominent problems including excessive overwork. It addresses one question: how do Chinese Internet professionals make grievance strategies?

This article draws on qualitative data based on semi-structured, in-depth interviews with 134 employees from 6 representative Chinese Internet companies. The data were collected during 2018-2021 and analyzed with a grounded theory approach.

This article highlights the role of boundaryless career orientation in explaining Chinese Internet professionals' strategies toward workplace grievances. The author develops a comprehensive model to illustrate how boundaryless career orientation influences four grievance strategies namely, strategic compliance, exit, dissent expression and resistance that correspond to four different motives to advance the professionals' boundaryless career: learning, transferring, relieving and resolving. Internet professionals choose different grievance strategies based on how each option can benefit their boundaryless career goals.

This article is one of the first to bring in boundaryless career orientation as a key factor in explaining Chinese Internet professionals' grievance strategies. It provides a fuller picture than previous studies by showing wide varieties of professionals' grievance behaviors. The finding of high-level boundaryless career orientation among Internet professionals offers insights on how companies can improve employment relations by improving career management practices.

Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under pharma, medical, biotechnology, and nursing. Also, other fields may be aligned with these primary fields. Healthcare amasses the contemporary trends and knowledge of upcoming techniques to improve healthcare processes. The practitioners are primarily doctors, nurses, specialists and health professionals, hospital administrators, and health insurance.

It is a fundamental attribute needed for any society to attain good quality of life and well-being in mental and physical health. It is a fundamental right of people to receive good healthcare where drug treatment and hospitalization are available at a nominal cost, as a requirement of today’s modern era. There appears to be a significant disparity in the availability of good healthcare in rural areas compared to urban in India. Even though we enter the digital era with the facilities offered in Industry 4.0 and other advanced technologies brings about a significant change of overall processing within healthcare systems. During the pandemic of COVID-19, there has been digital transformation with success globally. Healthcare cooperatives are a new norm to support the healthcare systems globally. The chapter discusses Gampaha healthcare cooperative and reviews Ayushman Sahakar scheme in India. The reforms require time to evolve.