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The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them.

The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet.

There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones.

The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods.

The purpose of this paper is to identify the key drivers and challenges to supply chain collaboration in the humanitarian sector; to appraise the relationships between international non-governmental organizations (INGOs) and local non-governmental organizations (LNGOs) during disaster relief; and to explore the humanitarian context in regard to supply chain collaboration.

Literature from both the commercial and humanitarian sectors is discussed in the context of vertical partnerships. A Jordanian study spanning a network of 26 international and LNGOs is explored via semi-structured interviews.

The research provides valuable insights on the challenges facing LNGOs and INGOs when developing partnerships. Contextual factors, including host governmental policies and the social-economic setting of a disaster directly affect the motivations for supply chain collaboration between LNGOs and INGOs.

The research is built on interviewees with 30 humanitarian professionals working in one country during an extended crisis. The majority of the empirical data are only from one actor’s perspective, thus further research into dyadic and network relationships is required. Approaches to addressing the diverse cultural and decision-making perspectives of LNGOs and INGOs warrant further investigation.

Recognizing the motives and challenges to vertical partnerships between LNGOs and INGOs will assist the managers, both at the strategic and operational levels, to find solutions and evolve strategies to build effective partnerships. Compromise and consideration for partner’s drivers and cultural views are essential for effective joint humanitarian relief initiatives.

This paper extends supply chain collaboration to a humanitarian context. Overcoming the challenges facing collaborative efforts and complementary nature of the drivers provide a means to achieve effective partnerships. Despite the uniqueness of the humanitarian context, such as the secondary nature of cost and dynamic demand, the core principles of collaboration still hold.

The purpose of this paper is to alleviate the problem of poor robustness and over-fitting caused by large-scale data in collaborative filtering recommendation algorithms.

Interpreting user behavior from the probabilistic perspective of hidden variables is helpful to improve robustness and over-fitting problems. Constructing a recommendation network by variational inference can effectively solve the complex distribution calculation in the probabilistic recommendation model. Based on the aforementioned analysis, this paper uses variational auto-encoder to construct a generating network, which can restore user-rating data to solve the problem of poor robustness and over-fitting caused by large-scale data. Meanwhile, for the existing KL-vanishing problem in the variational inference deep learning model, this paper optimizes the model by the KL annealing and Free Bits methods.

The effect of the basic model is considerably improved after using the KL annealing or Free Bits method to solve KL vanishing. The proposed models evidently perform worse than competitors on small data sets, such as MovieLens 1 M. By contrast, they have better effects on large data sets such as MovieLens 10 M and MovieLens 20 M.

This paper presents the usage of the variational inference model for collaborative filtering recommendation and introduces the KL annealing and Free Bits methods to improve the basic model effect. Because the variational inference training denotes the probability distribution of the hidden vector, the problem of poor robustness and overfitting is alleviated. When the amount of data is relatively large in the actual application scenario, the probability distribution of the fitted actual data can better represent the user and the item. Therefore, using variational inference for collaborative filtering recommendation is of practical value.

This paper aims to understand the discrepancy between Germany’s immediate positive response to the so-called “Europe 2015's refugee crisis“ and the strict asylum legislation adopted in Germany in the following year.

The discrepancy is attributed to external and internal forces. The external force is Germany’s obligation to adhere to the Common European Asylum System. The internal force is the role of the different policy actors. The paper focuses on the role of the media as an example of a private policy actor. Through adopting the theory of the social construction of target populations, the paper studies how the media constructs “asylum seekers”, the target of the new asylum legislation. The role of the media is analyzed using the methodology of qualitative content analysis of a selected number of newspaper articles.

The majority of the studied articles problematized receiving and hosting refugees and focused on the reason behind migration differentiating between asylum seekers fleeing conflict areas and all others who might be abusing the asylum channel. The findings of the content analysis, as such, resonate with the amendments that focused on facilitating the integration of accepted “refugees” but restricted further entry. As such, it could be argued that these findings explain the influence of the media on the amendments and as such provide an explanation to the discrepancy between the initial response and the amendments.

The analysis focused on one newspaper. The findings, as such, are not representative. The aim is only to provide an example of how the German media dealt with the refugee crisis and to suggest using the theory chosen by the paper to analyze the link between asylum legislation and the construction of asylum seekers. To understand how asylum legislation is influenced by how asylum seekers are constructed, more studies are needed. Such studies could analyze the role played by other media outputs and/or the role played by other policy actors in constructing the target of the policy.

The media’s response is based on analyzing a sample of newspaper articles published by a German newspaper following the so-called 2015 refugee crisis. Accordingly, the findings represent an original endeavor to understand how the media reacted to the crisis.

This research aims to determine to what degree registered and nonregistered Rohingyas differ in their difficulties and coping strategies.

Kutupalong registered and one nonregistered camp (Camp 2E) were selected as the study area, and a mixed-methods approach was followed to collect the data. Six in-depth interviews and two focus group discussions (FGDs) were conducted first, and then the questionnaire survey was conducted on 315 Rohingyas, comprising 116 registered and 199 non-registered refugees.

The results indicate a substantial difference in the difficulties and coping techniques of registered and nonregistered refugees in food, residence, health and security. Except for the health and security issue, the registered Rohingyas (RRs) have a relatively better life than the nonregistered Rohingyas (NRRs). The main problem registered refugees undergo is economic, followed by health service, food, residence, social and security issue. For nonregistered refugees, economic and social issues receive maximum attention, while security is their last concern. The coping strategies show that all strategies against difficulties significantly differ between registered and nonregistered Rohingyas.

Based on their registration status, this research may assist humanitarian workers and policymakers in better understanding of Rohingya refugees' livelihood strategies and challenges in Bangladesh. The findings may also help practitioners and policymakers build new programs and services to assist complex and difficult refugee groups in improving their livelihoods and access to essential amenities.

Previous research shows little attention to the variations between registered and unregistered refugees. However, almost no studies have compared the challenges and coping methods of registered and unregistered Rohingya refugees in Bangladesh and other regions. This research was meant to define and offer an in-depth analysis of the Rohingya refugees' livelihood strategies in the Kutupalong registered and nonregistered camp in Bangladesh to fill the knowledge gap.

The purpose of this paper is to open up new lines of research into the engagement of corporations during humanitarian crises. The paper provides an introduction to core concepts in the delivery of humanitarian assistance, as well as a comprehensive overview of when, why, how, and to what effect corporations engage in humanitarian action.

Building on extant literature and policy reports, the paper synthesizes concepts and insights to map the interdisciplinary field of research on corporate engagement in humanitarian action.

The paper systematically reviews and describes different dimensions of corporate engagement for delivering humanitarian action and explains key complications that inspire new research questions. In particular, the paper highlights challenges associated with getting corporations to engage in humanitarian action; challenges associated with ensuring effective corporate engagement; and challenges associated with ensuring ethical engagement.

By raising new questions about corporate engagement in humanitarian action, this paper develops an original and positive research agenda for international business, management research, and related fields.