Search results

This study aims to explore the effects of political information and anger on the public's cognitive processing and foreign policy preferences concerning third‐party interventions in ethnic conflict.

The study employs an experimental design, wherein the authors manipulate policy‐specific information by generating ad hoc political information related to ethnic conflict. The statistical methods of analysis are logistic regression and analysis of covariance.

The results demonstrate that both political information and anger have a significant impact on an individual's cognitive processing and policy preferences regarding ethnic conflict interventions. Specifically, political information increases one's proclivity to choose non‐military policy options, whereas anger instigates support for aggressive policies. Both factors result in faster decision making with lower amounts of information accessed. However, the interaction of political information and anger is not significant. The study also finds that policy‐specific information – rather than general political information – influences the public's policy preferences.

This study confronts and advances the debate over whether political information is significant in influencing the public's foreign policy preferences and, if so, whether such an effect is the product of general or domain‐specific information. It also addresses an under‐studied topic – the emotive repercussions of ethnic conflicts among potential third‐party interveners. In addition, it tackles the argument over whether political information immunizes people against (or sensitizes them to) the effects of anger on their cognitive processing and foreign policy preferences. The study also introduces a novel approach for examining political information through an experimental manipulation of policy‐specific information.

This paper seeks to present a proposal to change the form in which knowledge is produced in Colombia.

Discusses the key issue – to transform the way in which the production of knowledge is currently taking place at the university level.

To be able to increase the production of knowledge in this country there is a need to create bonds among industrial, governmental, and academic institutions. It is believed that this can be done by the development of a system capable of continuously forming researchers at a doctoral level.

The paper puts forward a proposal for the construction of such a system based on the developments of organizational cybernetics. The proposal is based on the concept of autonomy which is crucial to solve this problem.

The paper considers model‐based management and, based on it, proposes a heuristic‐based management. This paper aims to assert that heuristic‐based management, for complex systems, a process of free variation, of pairs of models and actions – called organisational strategies, maximizes the chances of improving the system's performance in open environments.

A conception of complex systems are introduced and characterized as open and self‐organising systems. Then, the proposal to heuristically use pairs of models and actions, called organisational strategies, to manage social systems based on evolutionary thought is supported. Subsequently, a computational experiment is proposed to show that, even in a simple framework, variation processes are required.

The paper shows that two processes may be required to preserve self‐organising systems. This finding indicates that variation and selection processes, related to evolutionary thought, are necessary for managers to deal with complex systems interacting with complex environments. Finally, it is shown that, even in simple computational environments, variation may be required.

The paper is the first part of an ongoing research agenda on the subject of heuristic‐based management and only refers to variation processes.

The paper links complex systems theories to evolutionary thought. It also relates principles of cybernetics to those of game theory. The proposal has been formalized based on these relations, and has been called heuristic‐based management. Principles first developed in information theory, organisational cybernetics, and evolutionary thought are used so that a complex system can be effective when interacting with a complex environment.

The purpose of this paper is to present a quantitatively supported explanation of the intellectual development, the schools of thought and the sub-areas of the food cold chain (FCC) research to derive meaningful avenues for future research.

This study builds on bibliometric analysis and network analysis to systematically evaluate a sample of 1,189 FCC articles published over the past 25 years. The descriptive statistics and science mapping approaches using co-citation analysis were performed with VOSviewer software.

The findings reveal a state-of-the-art overview of the top contributing and influential countries, authors, institutions and articles in the area of FCC research. A co-citation analysis, coupled with content analysis of most co-cited articles, uncovered four underlying research streams including: application of RFID technologies; production and operation planning models; postharvest waste, causes of postharvest wastage and perishable inventory ordering polices and models; and critical issues in FCC. Current research streams, clusters and their sub-themes provided meaningful discussions and insights into key areas for future research in FCC.

This study might reshape practitioners’, researchers’ and policy-makers’ views on the multifaceted areas and themes in the FCC research field, to harness FCC’s benefits at both strategic and tactical level. Finally, the research findings offer a roadmap for additional research to yield more practical and modeling insights that are much needed to enrich the field.

This paper aims to describe the levels and type of contingency faced by school principals in Chile and the way certain aspects of the Chilean school system result in a greater or lesser presence of these contingencies.

The results reported here are based on the application of a structured questionnaire to 381 elementary school principals in Chile. A “Leadership Contingency Index” was created to analyze the extent and characteristics of this phenomenon, which was complemented with a multiple regression analysis to observe the variables that influence the levels of contingency.

This study has shown that the main contingencies faced by school leaders in Chile revolve around the relationship between actors: assist families, relationship with and among students and resolution of school staff problems. Also shows that the level of contingency faced by principals is strongly conditioned by the socio-educational context of the school and is not related to the individual characteristics of the leaders. This level of contingencies is significantly higher in the public system, although the most recurrent contingencies are the same in each type of school administration (public, private subsidized and privately funded schools).

This paper addresses an important but relatively unexplored dimension in specialized research on leadership: variable contingencies under which the leadership role is performed daily, including significant gaps between schools. Understanding and analyzing school leadership from the perspective of the complexity of tasks currently faced by principals, many of them highly unpredictable, ensures a realistic view of the possibilities and limitations of leadership in action and, consequently, provides better tools to strengthen the school leadership role and its contribution to improving student learning.

The purpose of this paper is to assess the perceived value of an action learning experience (i-Week) on the development of important soft employability skills applying expectation confirmation theory (ECT).

A total of 1,295 activities were offered in 36 cities of ten countries. Each activity had a faculty member and multidisciplinary teams to address an authentic situation during one full-time week. The ECT was applied to assess the disparity between what was expected from the students and their actual learning experience. A total of 929 students answered a Perceived Value Questionnaire to measure 14 transversal competences categorized on five employability skills.

Achievements were statistically higher than expectations in 5 out of 14 transversal competences. The perceived value of the i-Week reflects the impact on soft skills: self-skills, personal, learning, social and systemic. The paper proposed an integrated model to learn these competences from action learning experiences.

The questionnaire is a self-assessment and not an actual performance measure. Besides transversal competences, there were more disciplinary competences that are not included in the study.

The perceived value model of the i-Week could be applied for different educational levels and contexts considering a lower scale. A new version of the Perceived Value Questionnaire on Competences is provided for educational research.

The educational experience, instruments and analysis described in the study might be easily transferred to other action activity used to measure perceived learning results on multiple skills.

In Latin America and the Caribbean, the access of students to higher education has presented an extraordinary growth over the past fifteen years. This rapid growth has presented a challenge for increasing the system resources and capabilities while maintaining its quality. As a result, the networked universities (NUs) organized themselves as a collaborative network, and they have become an interesting model for facing the complexity driven by globalization, rapidly changing technology, dynamic growth of knowledge and highly specialized areas of expertise. In this article, we studied the NU named Red Universitaria Mutis (Red Mutis) with the aim of characterizing the collaboration and integration structure of the network.

Network analytic methods (visual analysis, positional analysis and a stochastic network method) were used to characterize the organizational structure and robustness of the network, and to identify what variables or structural tendencies are related to the likelihood that specific areas of a university would collaborate.

Red Mutis is a good example of regional NUs that could take advantage of the strengths, partnerships, information and knowledge of the regional and international universities that form the network. Analyses showed that Red Mutis has a differentiated structure consisting of academic and non-academic university areas with a vertical coordination (by steering and management) of the different university areas.

The methodology could be used as a framework to analyze and strengthen other strategic alliances between universities and as a model for the development of other NU in local and global contexts.

Despite its crucial role in ensuring food safety, traceability remains underutilized by small and medium-sized enterprises (SMEs), a vital component of China’s agricultural supply chain, thereby compromising the integrity of the supply chain traceability system. Therefore, this study sets out to explore the factors influencing SMEs’ adoption of traceability systems and the impact of these factors on SMEs’ intent to adopt such systems. Furthermore, the study presents a model to deepen understanding of system adoption in SMEs and provides a simulation demonstrating the evolutionary trajectory of adoption behavior.

This study considers the pivotal aspects of system adoption in SMEs, aiming to identify the influential factors through a grounded theory-based case study. Concurrently, it seeks to develop a mathematical model for SMEs’ adoption patterns and simulate the evolution of SMEs’ adoption behaviors using the Q-learning algorithm.

The adoption of traceability among SMEs is significantly influenced by factors such as system attributes, SMEs’ capability endowment, environmental factors and policy support and control. However, aspects of the SMEs’ capability endowment, specifically their learning rate and decay rate, have minimal impact on the adoption process. Furthermore, group pressure can expedite the attainment of an equilibrium state, wherein all SMEs adopt the system.

This study fills the existing knowledge gap about the adoption of traceability by SMEs in China’s agricultural supply chain. This study represents the pioneer study that identifies the factors influencing SMEs’ adoption and examines the effects of these factors on their traceability adoption, employing a multi-methodological approach that incorporates grounded theory, mathematical modeling and the Q-learning algorithm.

The purpose of this paper is to investigate the significant supply chain issues in the small and medium-sized enterprise (SME) food industry. The objectives are to identify the major themes and the dynamic evolution of SME food supply chain (FSC) issues, the current research trends, the different modelling approaches used in SME FSC, and the most addressed SME food sector.

In all, 3,733 published articles from 2002 to 2018 in the Clarivate Analytics Web of Science database were collected, from which 1,091 articles were shortlisted for the review. The authors used bibliographic coupling combined with co-word analysis to identify the historical relations of the research themes that emerged during the periods 2002–2014 and 2002–2018.

This research identified five major research themes such as production and distribution in alternative food networks, relationship, safety and standards in the FSC, greenhouse gas (GHG) emission impact of the farm food system, traceability and product quality in FSC and asymmetric price transmission in the FSC. Among the identified themes, GHG emission impact of the farm food system and traceability and product quality in the FSC have received increasing attention in recent years. The dairy sector is the most addressed sector (36 per cent), followed by fruits and vegetables (27 per cent), meat and poultry (18 per cent), seafood (10 per cent) and grains and oilseed (8 per cent). It is also identified that the dairy sector has received significant attention in the “GHG Emission impact of farm food system” theme. Similarly, meat and poultry sectors have received much attention in the “Traceability and product quality in the food supply chain” theme. Also, the authors identified that the empirical modelling approaches are the most commonly used solution methodology, followed by the conceptual/qualitative methods in the SME FSC.

This study maps and summarizes the existing knowledge base of supply chain issues in the SME food sector. The results of this review provide the major research areas, most commonly used approaches and food sectors addressed. This study also highlights the research gaps and potential future research direction.

The purpose of this paper is to ease the ISO 31000 standard understanding and provide mechanisms that allow organizations to adopt and adapt this standard to their reality.

The research methodology adopted in this research was the design science research methodology.

Key finding is that enterprise architecture (EA) models and EA tools can help reduce the complexity of the ISO 31000 standard and improve the communication between stakeholders.

The research proposal serves the purpose of supporting the evidence collection for an enterprise risk management (ERM) initiative in an as-was, as-is, or to-be perspective.

Traditional ERM efforts operate on silos, limiting the sharing of risk information and the achievement of an organization-wide view of risks. EA can provide a common way to model complex business systems, from the strategic level to implementation details. This paper proposes the use of an EA model and an EA tool (Atlas) to represent ISO 31000, allowing a better understanding on the value of assets that can be affected from the manifestation of some risks over time.