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This study focuses to develop a common humanitarian supply chain process model (HSCPM) that enables effective enterprise resource planning (ERP) systems for NGOs, and the study also investigates the role of modularity as a dynamic capability that supports creating such model.

A multifocus group study was performed as part of a larger project, the Frontline Humanitarian Logistics Initiative, aiming to establish a common data model that would serve as the backbone of humanitarian ERP systems. Fourteen international humanitarian organizations (IHOs) participated in the process, reaching a consensus on the structure of the process model.

An HSCPM was proposed based on the consensus reached across IHOs. Four degrees of customization differentiating between “generic,” “tailored,” “specific,” and “unique” processes are presented and discussed.

The findings show modularity applied to process as a mean to create dynamic efficiencies and position the modular process model within the dynamic capabilities framework, supporting supply chain responsiveness and expanding the literature on supply chain management (SCM), dynamic capabilities, and humanitarian logistics.

This research proposes a consensus-based data model, facilitating the advancement of ERP systems in the humanitarian context and lays a foundation for interoperability among ERP systems across diverse IHOs.

First attempt to elucidate the specific characteristics and unique processes defining an HSCPM, this study reached an unprecedented consensus for the humanitarian sector, setting the base toward an industry standard.

While many studies in family business research focus on mono-causal impacts of succession, the purpose of this paper is to employ a systemic approach to analyze dynamic effects of intra-family succession on multiple business areas in family-run companies.

A system analysis using a participatory approach was conducted for a reference family-run company operating in the horticultural retail sector in Germany. The Vester Sensitivity Model, supplemented with principles from system thinking was used to identify key variables related to intra-family succession.

Expert input and analysis of variable co-occurrence revealed key variables associated with succession such as “strategic planning,” “productivity” and “financial flexibility.” Dynamic interactions among various business areas were identified by simulating interventions in succession trajectories. In particular, key variables such as “conflicts between family and work” and “organizational climate” turned out to be highly sensitive to changes during a succession process.

The concept and design of this system analysis tool will allow practitioners such as company managers and business consultants to better understand complex interrelations within companies and provide additional guidance with regard to critical events like business transfer.

The present study uses system thinking to analyze succession and its dynamic and time-lagged impacts on affected business areas in family-run companies for the first time. Repeated application of the systemic approach presented here to real-world business cases will gradually improve the tool and the quality of information it provides.

This paper aims to analyze and examine how an organization from the financial sector prioritizes its business processes and what criteria are adopted to select the most appropriate process for improvement projects.

This descriptive research is based on an exploratory approach. Qualitative methodology was applied to a case study through on-site observation, documentation analysis and semi-structured interviews.

The results confirm criteria mentioned in the literature, such as financial aspects and strategic impacts, but also raised a new critical issue: automation potential of manual processes, reflecting the current movement of process automation.

As a limitation of this study, it is worth mentioning the application in only one organization in the financial market and the small number of respondents, even though they occupy leadership positions in the organization.

As a practical implication, the present work offers a direction for managers of the financial sector in structuring and applying models for prioritizing processes aimed at organizational efficiency.

Automation solutions for process improvement need careful study to minimize impacts in human resources reduction. In this sense, the eligibility of a process for automation must be carefully considered.

This paper presents the evolution of the process prioritization model adopted by a large institution in the financial market, which has a significant presence in the Brazilian and international markets as a commercial and wholesale bank.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

The paper is focused on standards in humanitarian logistics and supply chain. Standards, implemented between organisations, allow improving the interoperability of humanitarian operations. The paper aims (1) to review a state-of-the-art approach to the topic by the academic community, (2) to evaluate the current use of standards among humanitarian organisations and (3) to investigate the perceived need for further and specific standards.

To achieve the aims, the literature was reviewed; then a survey on 227 professionals from the humanitarian logistics sector was conducted.

Based on 227 responses, it is possible to conclude that most surveyed professionals recognise the need for and the importance of standardisation in humanitarian logistics, especially in areas such as procurement, distribution, medical logistics and logistics planning, which were perceived as critical areas that require standardisation.

Practitioners and scholars were targeted via social media, through mailing lists and via communication from the practitioner organisation – the Humanitarian Logistics Association (HLA). While it provided good access to different groups of respondents, the response rate is not possible to calculate.

The findings confirm the high importance of standardisation, indicating areas and functions that should be standardised first. Standardisation may improve cooperation between different humanitarian actors, allowing better service provision for beneficiaries. Thus there are also potential negative impacts, i.e. impact on localisation, which should be overcome.

Results do not have a direct social impact; however, they stimulate research and work among practitioners on standardisation, which in turn could improve cooperation between humanitarian actors, thereby enabling a better humanitarian response in emergencies.

The majority of papers on standardisation use a qualitative approach. This paper applies a survey among a large network of humanitarian practitioners, capturing their view on the topic and perception of the need for standardisation. The work is descriptive; however, it could be used as a base for further studies related to humanitarian standards.

This paper aims to examine the time it would take to provide medical prophylaxis for a large urban population in the wake of an airborne anthrax attack and the effect that various parameters have on the total logistical time.

A mathematical model that evaluates key parameters and suggests alternatives for improvement is formulated. The objective of the model is to minimize the total logistical time required for prophylaxis by balancing three cycles as follows: the loading cycle, the shipping cycle and the service cycle.

Applying the model to two representative cases reveals the effect of various parameters on the process. For example, the number of distribution centers and the number of servers in each center are key parameters, whereas the number of central depots and the local shipping method is less important.

Various psychological factors such as mass panic are not included in the model.

There are few papers analyzing the logistical response to an anthrax attack, and most focus mainly on the strategic level. The study deals with the tactical logistical level. The authors focus on the distribution process of prophylaxis and other medical supplies during the crisis, analyze it and identify the parameters that influence the time between the detection of the attack and the provision of effective medical treatment to the exposed population.

The purpose of this paper is to estimate the changes of dental caries status among Thai adults and elderly under the different policy options using system dynamics modeling.

A multi-sector system dynamics model was developed to capture the dynamic interrelationship between dental caries status changes and oral health behavior – including self-care, dental care utilization and sugar consumption. Data used to populate the model was obtained from the Thai national oral health survey in 2000, 2006, 2012 and Thailand Official Statistics Registration. Three policy scenarios were experimented in the model: health promotion policy, dental personnel policy and affordable dental care service policy.

Dental caries experiences among Thai adults and elderly were projected to increase from now to 2040, as the elderly population increases. Among all policies experimented herein, the combined policies of health promotion, increased affordability and capacity of dental health service were found to produce the highest improvement in dental caries status with 3.7 percent reduction of population with high decayed, missing and filled teeth (DMFT) and 5.2 percent increase in population with very low DMFT.

This study is the first comprehensive simulation model that attempts to explore the dynamic interrelationship among dental caries experiences and behavioral factors that impact on oral health outcomes. In addition, the simulation model herein offers a framework for policy experimentation that provides policymakers with additional insights to inform health policy planning.

There has been a high rate of failure among the Living Labs in Kenya resulting in the expected outcomes not fully realized. This paper aims to assess the sustainability of Living Labs in Kenya.

Based on the four capital method of sustainable development evaluation framework, data were collected through interviews and questionnaires from innovators, users and employees among the 25 living labs in Kenya.

The research found that some innovators are not familiar with the living labs, the living labs are innovative and prepared to survive in future, some labs have strategic plans on how to pursue future environment and have developed ways of choosing right people to incubate, inability to get enough funding from the host organizations and limited knowledge on the supervision level of the operations. A model is proposed that can be generalized to other living labs in developing countries.

The study was done in Nairobi where most of the living labs are situated.

The study concludes by emphasizing on the user involvement during innovation process. There is need to expand the capacities of living labs to accommodate more people to ensure more innovations are supported at a time. The senior managers in charge of the living labs should increase the level of supervision to ensure that the labs are effective in their incubation efforts and institutionalize support of the host organization to the labs to ensure continued growth and expansion.

The findings of this study are of value to research community, the decision and policymakers as it seeks to document the current status of the living labs in the Kenya

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

As the strategy of 5G new infrastructure is deployed and advanced, 5G-R becomes the primary technical system for future mobile communication of China’s railway. V2V communication is also an important application scenario of 5G communication systems on high-speed railways, so time synchronization between vehicles is critical for train control systems to be real-time and safe. How to improve the time synchronization performance in V2V communication is crucial to ensure the operational safety and efficiency of high-speed railways.

This paper proposed a time synchronization method based on model predictive control (MPC) for V2V communication. Firstly, a synchronous clock for V2V communication was modeled based on the fifth generation mobile communication-railway (5G-R) system. Secondly, an observation equation was introduced according to the phase and frequency offsets between synchronous clocks of two adjacent vehicles to construct an MPC-based space model of clock states of the adjacent vehicles. Finally, the optimal clock offset was solved through multistep prediction, rolling optimization and other control methods, and time synchronization in different V2V communication scenarios based on the 5G-R system was realized through negative feedback correction.

The results of simulation tests conducted with and without a repeater, respectively, show that the proposed method can realize time synchronization of V2V communication in both scenarios. Compared with other methods, the proposed method has faster convergence speed and higher synchronization precision regardless of whether there is a repeater or not.

This paper proposed an MPC-based time synchronization method for V2V communication under 5G-R. Through the construction of MPC controllers for clocks of adjacent vehicles, time synchronization was realized for V2V communication under 5G-R by using control means such as multistep prediction, rolling optimization, and feedback correction. In view of the problems of low synchronization precision and slow convergence speed caused by packet loss with existing synchronization methods, the observer equation was introduced to estimate the clock state of the adjacent vehicles in case of packet loss, which reduces the impact of clock error caused by packet loss in the synchronization process and improves the synchronization precision of V2V communication. The research results provide some theoretical references for V2V synchronous wireless communication under 5G-R technology.