Benefits Of Cooperation Research Articles

Distributionally robust optimization for collaborative emergency response network design

The post-disaster emergency response capacity of a single country is limited, and a collaborative approach that pools emergency resources can improve disaster resilience. In this paper, we study a multi-country collaborative emergency response network design problem with uncertain demand and transportation time. Considering the benefits of inter-regional cooperation in sharing emergency facilities and resources, we construct a collaborative emergency response network (CERN) design framework. The cost of CERN is allocated among the partner countries according to their expect standalone response cost and the level of economic development. In practice, the distribution information of random parameters is not perfectly known, so we propose a distributionally robust optimization (DRO) model to design the CERN. A scenario-wise ambiguity set is constructed to characterize the uncertain parameters based on disaster-level-related events. To solve the proposed DRO model, we propose a decomposition-based algorithm with a valid inequality. In the numerical study, we first verify the advantage of the CERN design approach. The proposed scenario-wise DRO method is subsequently compared with alternative modeling approaches to assess its out-of-sample performance. The findings confirm the efficacy of the constructed ambiguity set in capturing the uncertainty stemming from varying magnitudes of catastrophic events. The computational study demonstrates that the proposed algorithm exhibits superior computational efficiency compared to the commercial solver CPLEX for large-scale problems. Additionally, we conduct sensitivity analyses on various parameter configurations and provide managerial insights for the CERN design problem.

Indirect reciprocity with stochastic and dual reputation updates.

Cooperation is a crucial aspect of social life, yet understanding the nature of cooperation and how it can be promoted is an ongoing challenge. One mechanism for cooperation is indirect reciprocity. According to this mechanism, individuals cooperate to maintain a good reputation. This idea is embodied in a set of social norms called the "leading eight". When all information is publicly available, these norms have two major properties. Populations that employ these norms are fully cooperative, and they are stable against invasion by alternative norms. In this paper, we extend the framework of the leading eight in two directions. First, we include norms with 'dual' reputation updates. These norms do not only assign new reputations to an acting donor; they also allow to update the reputation of the passive recipient. Second, we allow social norms to be stochastic. Such norms allow individuals to evaluate others with certain probabilities. Using this framework, we characterize all evolutionarily stable norms that lead to full cooperation in the public information regime. When only the donor's reputation is updated, and all updates are deterministic, we recover the conventional model. In that case, we find two classes of stable norms: the leading eight and the 'secondary sixteen'. Stochasticity can further help to stabilize cooperation when the benefit of cooperation is comparably small. Moreover, updating the recipients' reputations can help populations to recover more quickly from errors. Overall, our study highlights a remarkable trade-off between the evolutionary stability of a norm and its robustness with respect to errors. Norms that correct errors quickly require higher benefits of cooperation to be stable.

Recombination as an enforcement mechanism of prosocial behavior in cooperating bacteria

Prosocial behavior is ubiquitous in nature despite the relative fitness costs carried by cooperative individuals. However, the stability of cooperation in populations is fragile and often maintained through enforcement. We propose that homologous recombination provides such a mechanism in bacteria. Using an agent-based model of recombination in bacteria playing a public goods game, we demonstrate how changes in recombination rates affect the proportion of cooperating cells. In our model, recombination converts cells to a different strategy, either freeloading (cheaters) or cooperation, based on the strategies of neighboring cells and recombination rate. Increasing the recombination rate expands the parameter space in which cooperators outcompete freeloaders. However, increasing the recombination rate alone is neither sufficient nor necessary. Intermediate benefits of cooperation, lower population viscosity, and greater population size can promote the evolution of cooperation from within populations of cheaters. Our findings demonstrate how recombination influences the persistence of cooperative behavior in bacteria.

TOOLKIT FOR MANAGING JOINT COOPERATIVE INSTITUTIONS OF HIGHER EDUCATION IN WARTIME SETTINGS

The article presents the research finding in the area of building an integration framework for managing cooperative institutions of higher education in wartime settings. It is emphasized that such transformation has been underpinned in the first place by the demand for innovations by the national economy and active financing of innovative projects. Given that attaining the above objectives in developed economies is of paramount significance, no wonder the institutions from such countries as the USA, Great Britain, Switzerland, China and Singapore are among the top most ranked universities in the world. However, the QS World University Rankings for 2021 features eleven Ukrainian universities. And although their positions range from 401 to 700 among the 959 top world universities, currently, this sample can be considered a tremendous success of domestic institutions of higher education. It is observed that in recent years, higher education institutions all over the world trying to increase their own competitiveness has been quite active in building and supporting cooperative links to develop global competitiveness and ensure their entry into the international market. It is argued that among the benefits of cooperation of higher education institutions in wartime is its strong focus on the recipient of educational services, that is, shifting the emphasis from supply to demand, primarily to meet the real customers’ needs. It is emphasized that the integrated cooperation of higher education institutions greatly contributes to attaining a wide range of various educational goals, in particular, the pursuit of personal training, professional and cultural development, gaining new knowledge, achieving economic goals along with attaining social and the overall synergistic effects.

Independence enhancement of distributed generation systems by integrating shared energy storage system and energy community with internal market

The connection of large-scale distributed generation systems, primarily distributed solar and wind power, to the public grid, will cause a considerable burden on its dispatching. How to improve the independence of distributed generation systems is crucial. This study thoroughly investigates the possibility of enhancing the independence of distributed generation systems by combining feasible solutions such as integrating energy community, installing shared energy storage, and adopting rational dispatching strategies while ensuring the benefits of multiple parties. A two-level framework for optimizing energy community scheduling and shared energy storage system sizing is proposed. The upper layer uses a multi-objective approach to optimize the size of the shared energy storage system, which ensures the economy of the shared energy storage system and the independence of the energy community. The lower layer dispatches power intending to maximize social welfare and allocates cooperative benefits through the Sharply value method, thus ensuring the interests of community participants. And a dynamic electricity price strategy in response to the imbalance between supply and demand to guide community dispatching is proposed, which reduces the peak-to-valley range while ensuring economic performance. The case results show that compared to the distributed generation systems operating alone, integrating the energy community increased the self-sufficiency and self-consumption rates of the community by 6.01 % and 6.01 %, respectively, and installing shared energy storage system increased the self-sufficiency and self-consumption rates of the community by 13.50 % and 19.35 %, respectively.

Internalization of Cooperation Value in Drum Band Extracurricular Activities

This study aims to define the internalization of cooperation value in drum band extracurricular activities, as well as the supporting and inhibiting factors in its process. This study uses field research (field research) using a qualitative descriptive method. Data collection techniques in this study are observation, interviews, and documentation. Data processing techniques in this study include data editing, classification, and interpretation. While the subjects of this study are school principals, trainers, teachers, parents, and students. The study results show that the internalization of cooperation value has been applied to drum band extracurriculars in the form of group exercises, group exercises, and joint exercises, effective communication, openness, shared responsibility, and understanding of common goals. The supporting and inhibiting factors in this internalization process include trainers, students, parents, classrooms, fields, funds, and infrastructure. The implications of internalizing the cooperation value in the drum band extracurricular are 1) it makes it easier for teachers to convey material, 2) it makes it easier for students to memorize material, 3) students are more enthusiastic about participating in activities, 4) makes it easier for students to practice cooperation and cohesiveness, 5) the sound of the music produced is better because of their solid cooperation, 5) form an attitude of cooperation and mutual help and benefit for the future. Education practitioners need to develop a mature strategy to internalize character values in extracurricular activities and minimize obstacles to get maximum results.

ULOGA VISOKOŠKOLSKIH BIBLIOTEKA U OTVORENOJ NAUCI / THE ROLE OF ACADEMIC LIBRARIES IN OPEN SCIENCE

Open science includes open access to publications, research data and open educational content, open science redefines the whole process of scientific communication by encouraging dialogue, open review, open sources and tools. Demanding processes of digital transformation of scientific communication require significant support of academic libraries in the processes of advocacy and implementation of open science. Academic libraries in this context, and among other things, need to be recognized as indispensable partners in various open access initiatives at higher education institutions. In this regard, the aim of this research is to establish the specifics and current trends of e-publishing at the University of Sarajevo (UNSA), collect data on active open access journals published by UNSA organizational units, by website content analysis method, and in conclusion to address the benefits of cooperation with libraries of scientific institutions in planning the publishing of scientific journals in open access, as a segment of open science.

Plural breeding among unrelated females and other insights on complex social structure in the cooperatively breeding Variegated Fairywren

ABSTRACT Cooperatively breeding species vary widely in degree of social complexity, and disentangling relationships among group members can reveal the costs and benefits of cooperation. Here, we describe the social system of the cooperatively breeding Variegated Fairywren (Malurus lamberti) and explore how social complexity and group dynamics may affect cooperation and conflict. We used a combination of field-based population monitoring and detailed social association observations to determine group membership annually across four breeding seasons (2014–2017) and used a ddRAD-seq genotyping method to determine genetic relationships within social groups. Social groups ranged in size from two to eight individuals and nearly half of all social groups had multiple adult individuals of both sexes. Approximately half of all groups exhibited plural breeding, in which multiple females within the same social group nested individually in the same territory. Genetic relationships were diverse among social groups due to high rates of extra-pair paternity and immigration, with most groups containing close relatives and non-relatives of each sex. Notably, although related females were often present within a social group, co-breeding females in the same social group were never closely related to each other. Given the extensive variation in relatedness among group members, cooperation in the Variegated Fairywren is likely maintained by a combination of direct and indirect fitness benefits.

Exploring Interrogation-Related Stressors: Factors Influencing Apparent Stress in Investigative Interviews with Suspects

Despite the potential significance of stress on individuals during investigative interviews, the examination of its general impact remains an underexplored area of research, with previous studies primarily focused on the specific phenomenon of stress-induced false confessions. As for interrogation-related stressors, they are indirectly addressed in the literature and are poorly elaborated. This article has two objectives: (1) To determine the impact associated with apparent stress on the decision of the suspects to disclose information relevant to the investigation and to confess their crimes, and (2) to determine the factors that influence the suspects’ apparent stress. The current study is based on analysis of 130 videotaped investigative interviews involving individuals convicted of offenses related to online sexual exploitation of children. The study results show that the suspects’ decisions to confess the alleged facts or to disclose information relevant to the investigation do not appear to be influenced by their apparent stress. Furthermore, the suspects’ ages and the interviewers recalling the benefits of cooperation and mentioning the desire to be honest or authentic during the investigative interview reduced the suspects’ apparent stress.

Optimal Policy under Dollar Pricing

Empirical evidence shows that most international prices are sticky in dollars. This paper studies the policy implications of this fact in the context of an open economy model with general preferences, technologies, asset markets, nominal rigidities, and a rich set of shocks. We show that although monetary policy is less efficient and cannot implement the flexible-price allocation, inflation targeting and a floating exchange rate remain robustly optimal in non-US economies. The capital controls cannot unilaterally improve the allocation and are useful only when coordinated across countries. International cooperation benefits other economies, but is not in the self-interest of the United States. (JEL E31, E52, F14, F31, F38, F41)

Attitudinal analysis of vaccination effects to lead endemic phases

To achieve endemic phases, repeated vaccinations are necessary. However, individuals may grapple with whether to get vaccinated due to potential side effects. When an individual is already immune due to previous infections or vaccinations, the perceived risk from vaccination is often less than the risk of infection. Yet, repeated rounds of vaccination can lead to avoidance, impeding the establishment of endemic phases. We explore this phenomenon using an individual-based Monte Carlo simulation, validating our findings with game theory. The Nash equilibrium encapsulates individuals' non-cooperative behavior, while the system's optimal value represents the societal benefits of altruistic cooperation. We define the difference between these as the price of anarchy. Our simulations reveal that the price of anarchy must fall below a threshold of 12.47 for endemic phases to be achieved in a steady state. This suggests that for a basic reproduction number of 10, a consistent vaccination rate greater than 89% is required. These findings offer new insights into vaccination-related decision-making and can inform effective strategies to tackle infectious diseases.

Dampak Kerjasama Brunei Indonesia Malaysia Filipina East Asean Growth Area (BIMP-EAGA) Terhadap Ekonomi Indonesia

Today's global economy is increasingly connected through various forms of economic cooperation between countries. BIMP-EAGA is a regional initiative that aims to promote economic and trade cooperation between the four member countries. This study aims to analyze the impact of BIMP-EAGA (Brunei-Indonesia-Malaysia-Eastern Philippines Economic Growth Area) cooperation on the Indonesian economy. In this study, we use secondary and quantitative data analysis methods to collect information and measure the impact of BIMP-EAGA cooperation on the Indonesian economy. The data used includes statistics on trade, investment, economic growth, job creation, and other related economic sectors. The results of this analysis are expected to provide a better understanding of BIMP-EAGA's contribution to the Indonesian economy. In this study, we will also consider other factors that may affect the results such as national economic policies and external factors. It is hoped that the results of this study can provide insights for the government, policy institutions, and businesses to make better decisions in optimizing the benefits of BIMP-EAGA cooperation. In addition, this research can also serve as a basis for more effective and targeted policy development in utilizing the potential of regional cooperation to boost Indonesia's economic growth.

Grouping promotes both partnership and rivalry with long memory in direct reciprocity.

Biological and social scientists have long been interested in understanding how to reconcile individual and collective interests in the iterated Prisoner's Dilemma. Many effective strategies have been proposed, and they are often categorized into one of two classes, 'partners' and 'rivals.' More recently, another class, 'friendly rivals,' has been identified in longer-memory strategy spaces. Friendly rivals qualify as both partners and rivals: They fully cooperate with themselves, like partners, but never allow their co-players to earn higher payoffs, like rivals. Although they have appealing theoretical properties, it is unclear whether they would emerge in an evolving population because most previous works focus on the memory-one strategy space, where no friendly rival strategy exists. To investigate this issue, we have conducted evolutionary simulations in well-mixed and group-structured populations and compared the evolutionary dynamics between memory-one and longer-memory strategy spaces. In a well-mixed population, the memory length does not make a major difference, and the key factors are the population size and the benefit of cooperation. Friendly rivals play a minor role because being a partner or a rival is often good enough in a given environment. It is in a group-structured population that memory length makes a stark difference: When longer-memory strategies are available, friendly rivals become dominant, and the cooperation level nearly reaches a maximum, even when the benefit of cooperation is so low that cooperation would not be achieved in a well-mixed population. This result highlights the important interaction between group structure and memory lengths that drive the evolution of cooperation.

A multi-country One Health foodborne outbreak simulation exercise: cross-sectoral cooperation, data sharing and communication.

The awareness of scientists and policy makers regarding the requirement for an integrated One Health (OH) approach in responding to zoonoses has increased in recent years. However, there remains an overall inertia in relation to the implementation of practical cross-sector collaborations. Foodborne outbreaks of zoonotic diseases continue to affect the European population despite stringent regulations, evidencing the requirement for better 'prevent, detect and response' strategies. Response exercises play an essential role in the improvement of crisis management plans, providing the opportunity to test practical intervention methodologies in a controlled environment. The One Health European Joint Programme simulation exercise (OHEJP SimEx) aimed at practicing the OH capacity and interoperability across public health, animal health and food safety sectors in a challenging outbreak scenario. The OHEJP SimEx was delivered through a sequence of scripts covering the different stages of a Salmonella outbreak investigation at a national level, involving both the human food chain and the raw pet feed industry. A total of 255 participants from 11 European countries (Belgium, Denmark, Estonia, Finland, France, Italy, Norway, Poland, Portugal, Sweden, the Netherlands) took part in national level two-day exercises during 2022. National evaluations identified common recommendations to countries aiming to improve their OH structure to establish formal communication channels between sectors, implement a common data sharing platform, harmonize laboratory procedures, and reinforce inter-laboratory networks within countries. The large proportion of participants (94%) indicated significant interest in pursuing a OH approach and desire to work more closely with other sectors. The OHEJP SimEx outcomes will assist policy makers in implementing a harmonized approach to cross-sector health-related topics, by highlighting the benefits of cooperation, identifying gaps in the current strategies and suggesting actions required to better address foodborne outbreaks. Furthermore, we summarize recommendations for future OH simulation exercises, which are essential to continually test, challenge and improve national OH strategies.

Hybrid Game-based Distribution Network and Multi-virtual Power Plant Co-optimization

This paper proposes a hybrid game-based distribution network-multi-virtual power plant cooperative operation strategy for the different decision-making positions of distribution networks and virtual power plants. Firstly, the distribution system operator (DSO) is introduced as the leader, and the DSO aiming at maximizing its own benefits, formulates a dynamic tariff strategy to guide the virtual power plant cooperative alliance to optimize its operation; the virtual power plant cooperative alliance, as the follower, responds to the DSO's tariff strategy and formulates an autonomous optimization strategy to minimize its own operating costs. Secondly, the Nash bargaining model is used to allocate the benefits of cooperation among the multi-virtual power plant cooperative alliance according to their internal power interactions. The dichotomous method combined with ADMM is used to solve the developed model. The example shows that the hybrid distribution network-multi-virtual power plant game model can effectively enhance the benefits of the distribution network while taking into account the interests of the lower-level virtual power plants.

Robust optimal dispatching model and a benefit allocation strategy for rural novel virtual power plants incorporating biomass waste energy conversion and carbon cycle utilization

To optimize the utilization of rural biomass waste resources (e.g., straw and solid waste), biomass waste energy conversion (BWEC) and carbon cycle utilization (CCU) are integrated into a traditional virtual power plant, i.e., a rural BWEC-CCU-based virtual power plant. Furthermore, a fuzzy robust two-stage dispatching optimal model for the BWEC-CCU-based virtual power plant is established considering the non-determinacy from a wind power plant (WPP) and photovoltaic (PV) power. The scheduling model includes the day-ahead deterministic dispatching model and real-time uncertainty dispatching model. Among them, in the day-ahead dispatching phase, the dispatching plan is formulated with minimum operating cost and carbon emission targets. In the real-time dispatching phase, the optimal dispatching strategy is formulated aiming at minimum deviation adjustment cost by applying the Latin hypercube sampling method. The robust stochastic theory is used to describe the uncertainty. Third, in order to achieve optimal distribution of multi-agent cooperation benefits, a benefit distribution strategy based on Nash negotiation is designed considering the three-dimensional interfering factor of the marginal benefit contribution, carbon emission contribution, and deviation risk. Finally, a rural distribution network in Jiangsu province, China, is selected for case analysis, and the results show that 1) the synergistic optimal effect of BWEC and CCU is obvious, and the operation cost and deviation adjustment cost could decrease by 26.21% and 39.78%, respectively. While the capacity ratio of WPP + PV, BWEC, and CCU is 5:3:2, the dispatching scheme is optimum. 2) This scheduling model can be used to formulate the optimal scheduling scheme. Compared with the robust coefficient Γ = 0, when Γ = 1, the WPP and PV output decreased by 15.72% and 15.12%, and the output of BWEC and CCU increased by 30.7% and 188.19%, respectively. When Γ∈ (0.3, 0.9), the growth of Γ has the most direct impact on the dispatching scheme. 3) The proposed benefit equilibrium allocation strategy can formulate the most reasonable benefit allocation plan. Compared with the traditional benefit allocation strategy, when the proposed method is used, the benefit share of the WPP and PV reduces by 5.2%, and the benefit share of a small hydropower station, BWEC, and CCU increases by 1.7%, 9.7%, and 3.8%, respectively. Overall, the proposed optimal dispatching and benefit allocation strategy could improve the aggregated utilization of rural biomass waste resources and distributed energy resources while balancing the benefit appeal of different agents.

Evolution Game and Simulation Analysis of Disturbance Emergency Disposal of In-Flight Cabin: China Civil Aviation Security Strategy Study

The disturbance of disruptive passengers in the cabin seriously affects aviation security in China. Reducing the occurrence of disturbances in the cabin is an inevitable choice to strengthen the security of civil aviation in China and improve the emergency disposal of airlines. Therefore, this paper investigates the strength of government support, the benefits of cooperation and the punishment of disposers, and uses the event tree method to analyze the relevant subjects affecting the consequences of cabin disruptions. To this end, a cabin disturbance emergency management game model comprised of regulatory authority, airline security and disruptive passengers was then established. The results of the game playing and simulation highlight the inherent relationships in emergency management in China’s civil aviation. First, the choice of behavior of the regulatory authority and disruptive passengers are mainly influenced by the strategy of airline security. Second, the strength of support from the regulatory authority determines whether the airline security can dispose of the passengers successfully. Third, the disruptive inclination of disruptive passengers is directly influenced by the intensity of punishment by airport police. Finally, an empirical analysis and simulation is conducted with the example of using an open flame or smoking in the cabin. This study provides new ideas for enhancing aviation security and improving emergency management.

Distributed Scheduling at Non-Signalized Intersections With Mixed Cooperative and Non-Cooperative Vehicles

Intersection management with mixed cooperative and non-cooperative vehicles is crucial in next-generation transportation systems. For fully non-cooperative systems, a minimax scheduling framework was established, while it is inefficient in mixed systems as the benefit of cooperation is not exploited. This paper focuses on the efficient scheduling in mixed systems and proposes a two-stage decision framework that makes full use of the cooperation. First, a long-horizon self-organization policy is developed to optimize the passing order of cooperative vehicles in a distributed manner, which is proved convergent when inbound roads are sufficiently long. Then a short-horizon trajectory planning policy is proposed to improve the efficiency when an ego-vehicle faces both cooperative and non-cooperative vehicles, and its safety and efficiency are theoretically validated. Moreover, simulation results verify that the proposed policies can effectively reduce the scheduling cost and improve the throughput for cooperative vehicles.

CLUSTER POLICY AND ITS IMPACT ON FDI ATTRACTION MODELS AND BETTER COOPERATION BETWEEN MNEs AND SMEs

The concept of FDI has been analyzed by several theorists and many of them see FDI as an engine of growth. FDI affects economic growth directly and indirectly. It is well known that FDI has a positive impact on the domestic economy through the transfer of technology and skills, development of local suppliers in terms of providing technical assistance, training for employees, transfer of knowledge, etc. In this way, FDI affects the improvement of productivity and competitiveness of the entire economy. Multinational enterprises and their foreign affiliates recently generate one third of the global GDP, as well as two thirds of international trade. They also account for half of global exports. Precisely because of their economic importance, many governments offer subsidies and tax breaks to attract multinational enterprises, and consequently FDI. According to OECD (2005), linking MNEs and SMEs is important in the context of investment for development. The so-called "spillover" of know-how and technology from foreign investors to the local business sector is one of the biggest benefits of FDI for development. In most countries, SMEs are considered as the majority of the domestic business sector, therefore the process of overcoming the barriers to the connection between large and small enterprises is of great importance for the overall development. But the benefits of cooperation between MNEs and SMEs do not come automatically. Consequently, if we analyze specifically only one segment of the effects of FDI, such as the introduction of new technologies and innovations, as one of the biggest benefits of the host country from FDI, we come to the conclusion that this transfer is not always the same, but is very more present and effective if it is done in geographically concentrated clusters, in contrast to the cases when it is realized in dispersed companies of the same sector. Companies operating in clusters are characterized by a high degree of specialization and complementarity. This generates dynamic processes of learning, innovation and knowledge transfer. In the clusters, a process of collective learning is realized, which results in innovation and competitiveness even in sectors where high technology is not applied. This paper aims to explore models and ways of attracting FDI as well as creating preconditions for realizing as many benefits and spillovers as possible from the established cooperation between foreign MNEs and local SMEs, such as clusters. The results show that although the clusters in the Republic of North Macedonia are formally functioning, they are far from the desired condition to be in a situation to provide essential assistance in the direction of increasing the positive effects of the cooperation of SMEs and MNEs. However, the clusters should continue to be supported by the relevant competent institutions in order for the desired effects to be measurable, concrete and significant for the local economy.

University-firm cooperation: how do small and medium-sized enterprises become involved with the university?

PurposeThis study aims to investigate how small- and medium-sized enterprises (SMEs) perceive the benefits and obstacles with university cooperation for themselves and regional development, setting out from the personal relations the parts have formed.Design/methodology/approachA quantitative approach was adopted, using a sample of 336 Brazilian SMEs that had undertaken some cooperation with universities in the past years.FindingsFrom structural equation modelling, results show that interpersonal relations interfere in the type of cooperation formed, these being a catalyst in formalizing the cooperation. These relations also interfere in the perception of barriers and benefits of cooperation for the firm.Practical implicationsThe results are clearer in the firm domain and less so in the region, implying that university-SME cooperation does not yet present clearly disseminated benefits so that firms can be more aware of the results. The barriers to cooperation seem to be overcome by interpersonal relations but also by the contracts established since they were more evident in the informal type of cooperation.Originality/valueThis study provides more empirical evidence about these relations in a context of low socio-economic development, a topic which is still under-explored in the field of university-firm cooperation.