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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.

Resource allocation is challenged by dynamic environments where changes are frequent. The purpose of this paper is to identify resource allocation challenges and practices in service units that perform both project and non-project activities in dynamic environments. Its goal is to show that top-down mechanisms of project resource allocation need to be replaced by or supplemented with mechanisms that are more flexible.

A qualitative comparative case study was conducted in two service units of two project-based firms. The main source of data consisted of semi-structured interviews with 17 service managers and staff members.

This study shows that resource allocation is not necessarily a top-down process at all, and the practices are context-dependent. Two more flexible approaches are revealed – hybrid resource allocation and bottom-up resource allocation – as examples of managing resource allocation in service units that engage in projects under uncertain conditions. The results of the analysis highlight prioritisation and adapting to change and delay as the main issues that managers face in allocating resources to different types of projects and service activities in dynamic environments.

The two target companies chosen for the qualitative research design limit the analysis to project-based firms in a business-to-business context. Further, the viewpoint of the service unit is central to the study. Studying project resource allocation in different organisational contexts and uncovering the perspectives of product development and delivery units would offer promising directions for future research.

The study reveals that in dynamic project settings such as service organisations, top-down mechanisms of resource allocation need to be accompanied by other, more flexible approaches to ensure the sufficient resourcing of projects and related services in dynamic environments. Companies need to establish practices for resource allocation changes that are caused by re-prioritising tasks and accommodating changes and delays in their project and service activities.

Compared to a top-down perspective taken in previous research, the study proposes a more flexible approach for resource allocation in constantly changing environments with different project and service activities. Previous studies have focussed on resource competition between projects, placing project managers in the central role for resource allocation. By contrast, this study discusses hybrid and bottom-up resource allocation, both of which involve broader personnel engagement in resource allocation tasks, drawing on the experience of all employees.

The purpose of this paper is to address the management of undergraduate final year research dissertations. It intends to explain and clarify the experience of two models of delivery (student-led/academic-led) with reference to interest development theory (Hidi and Renninger, 2006).

The authors focus on the advantages and drawbacks of each model within the context of the research literature, and describe a case study of the experiences of lecturers and students in one division of a metropolitan UK university, running a leading programme in speech and language therapy (pathology). Recommendations are made which are intended to be of use to colleagues across disciplines and organisations.

The authors argue that a delivery where students can choose their research topic from a limited set suggested by supervisors (academic-led model) is best placed to meet motivational challenges in Hidi and Renninger’s framework, and also increase feasibility for staff. The authors discuss how such a model might best be implemented.

Describing case study experiences within a conceptual framework is important for the development of improved supervision methods. It is hoped that this case study paper will inform other institutions by providing clear theoretical underpinnings and practical recommendations; and that it will lead to further empirical research into models of organising final year dissertations.

The purpose of this paper is to examine the micropolitical strategies principals use to influence school staffing within an urban school district.

The author used a qualitative case study approach drawing upon 47 semi-structured participant interviews with 25 individual research participants, 80 hours of observations, and 36 district artifacts. The author completed an iterative analysis using ATLAS.ti with a coding scheme informed by the educational leadership, human resource management, and micropolitical literatures.

The findings illustrate that school principals engaged productively within district staffing procedures to influence the allocation and composition of teaching staff within their schools. The iterative analysis identified three micropolitical strategies employed by school principals, including advocacy, acquiring leverage, and networking. First, principals used advocacy to shape personnel staff’s understanding of school needs. Second, principals acquired leverage over staffing by enlisting the support of their school supervisor. Finally, principals networked with colleagues to identify teachers within the district’s transfer system for possible hire.

The findings have both practical and research significance. Practically, the findings highlight how principals engage in leadership within the context of district staffing processes. With respect to research, the findings address an important gap in the literature as it pertains to principal’s leadership actions in relation to internal district administrative processes.

The findings of this study are unique in that they challenge the conventional view of district staffing procedures, which has typically framed these procedures as barriers to principal leadership. The findings suggest district staffing procedures can be a forum for productive leadership actions.

Due to the complexity of digital services, companies are increasingly forced to offer their services “in permanent beta”, requiring continuous fine-tuning and updating. Complexity makes it extremely difficult to predict when and where the next service disruption will occur. The authors examine what this means for performance measurement in digital service supply chains.

The authors use a mixed-method research design that combines a longitudinal case study of a European digital TV service provider and a system dynamics simulation analysis of that service provider's digital service supply chain.

With increased levels of complexity, traditional performance measurement methods, focused on detection of software bugs before release, become fragile or futile. The authors find that monitoring the performance of the service after release, with fast mitigation when service incidents are discovered, appears to be superior. This involves organizational change when traditional methods, like quality assurance, become less important.

The performance of digital services needs to be monitored by combining automated data collection about the status of the service with data interpretation using human expertise. Investing in human expertise is equally important as investing in automated processes.

The authors draw on unique empirical data collected from a digital service provider's struggle with performance measurement of its service over a period of nine years. The authors use simulations to show the impact of complexity on staff allocation.

The development of performance indicators specifically within and for polytechnic libraries is reviewed. A framework of library activities is derived on which performance measurement might be based and six indicators are identified. The practical applicability of the framework is considered in relation to polytechnic libraries and to both institutional and library aims and objectives.

This paper looks at resource allocation in New York state long-term care facilities. Data from 399 nursing facilities are used to compare resource allocation in 1983 and 1990. Given significant changes within the industry, it was hypothesized that significant changes would have occurred over the seven year period. Results indicate that growth in full time equivalents was 7.6 percent or an average of 13.5 employees. The allocation of resources across job title was, however, constant over the seven year period. Differential growth rates were found by ownership category, but there were only minimal differences with respect to the allocation of resources.

Project managers bear the responsibility of selecting and developing resource scheduling methods that align with project requirements and organizational circumstances. This study focuses on resource-constrained project scheduling in multi-project environments. The research simplifies the problem by adopting a single-project perspective using gain coefficients.

It employs uncertainty theory and multi-objective programming to construct a model. The optimal solution is identified using Matlab, while LINGO determines satisfactory alternatives. By combining these methods and considering actual construction project situations, a compromise solution closely approximating the optimal one is derived.

The study provides fresh insights into modeling and resolving resource-constrained project scheduling issues, supported by real-world examples that effectively illustrate its practical significance.

The research highlights three main contributions: effective resource utilization, project prioritization and conflict management, and addressing uncertainty. It offers decision support for project managers to balance resource allocation, resolve conflicts, and adapt to changing project demands.

The purpose of this paper is to provide understanding on the process of accounting outsourcing turnback from the client's perspective. The aim is to understand the issues faced by clients during turnback process, and provide recommendations to resolve them.

This study adopts a qualitative interpretive case study approach. Data were collected based on documentation, archival records, direct observation, and interviews to allow for triangulation.

This study provides empirical evidence of accounting outsourcing turnback process. Some of the issues faced by clients include lack of management support, limited financial and human resources, and uncooperative vendors.

Theoretically, this study extends Elliot's model by providing empirical evidence on process, identifying issues, and discussing recommendations on accounting outsourcing turnback. The limitation is the use of a single case study of a small company in Malaysia.

Practically, this study enhances understanding on accounting outsourcing turnback process and issues. The recommendations provided can serve as guidelines for clients who are considering outsourcing turnback as a strategic move.

There has been limited research in the area of accounting outsourcing focusing on turnback process. This study contributes to the field of accounting outsourcing by describing an accounting turnback process and issues faced by clients. The study recommends communication, financial support, top management support, back‐up exit plan, and vendor management throughout the turnback period. Finally, gradual reduction of accounting outsourced works rather than immediate termination is favored to reduce the risk in accounting outsourcing turnback.

The paper investigates knowledge sharing and co‐creation in an organisation‐wide discussion supported by Computer‐Mediated Communication (CMC). The paper draws on the empirical evidence from a field study of a consultative process as part of a University strategic decision‐making. Informed by Habermas’s theory of communicative action, the investigation focuses on communicative practices in the CMC discussion and the ways participants interact, share knowledge and co‐create meanings in a particular situation. Communicative analysis of organisational discourse via CMC reveals hidden structures and mechanisms that impede knowledge sharing and inhibit cooperative meaning making. The issue here is whether CMC enables or disables some of these structures and mechanisms. By interpreting the CMC discussion as an argumentation process the paper aims to provide deeper insights into this issue. Among the lessons learned are requirements for new technologies to support knowledge sharing and meaning co‐creation.