Global trade is based on coordinated factors, that means labor and products are moved from their point of origin to the point of use. Strategies have a significant impact on global trade because they enable the effective development of goods across international borders. The decision making is an important task for the development of Logistics Supply Chain (LSC) infrastructure and process. Decisions on supplier selection, production schedule, transportation routes, inventory levels, pricing strategies, and other issues need to be made. These decisions may have a big influence on customer service, profitability, operational efficiency, and overall competitiveness. The Artificial Intelligence (AI) approach of Fuzzy Preference Ranking Organization Method for Enrichment Evaluation (Fuzzy-Promethee-2) is used to assess the priority selection of the factors associated with the LSC and evaluate the importance in global trade. The role of AI is very useful compare to statistical analysis in terms of decision making. The computational analysis placed promotion of exports as the most important priority out of five selected attributes in LSC, with infrastructure development. The result suggests that LSC depends heavily on export promotion as the most significant attribute. Infrastructural development also appeared another factor influencing LSC. The foreign investment was ranked the lowest. The evaluated results are useful for the policy makers, supply chain managers and the logistics professionals associated with the supply chain management.

Breast cancer was a prevalent form of cancer worldwide. Thermography, a method for diagnosing breast cancer, involves recording the thermal patterns of the breast. This article explores the use of a convolutional neural network (CNN) algorithm to extract features from a dataset of thermographic images. Initially, the CNN network was used to extract a feature vector from the images. Subsequently, machine learning techniques can be used for image classification. This study utilizes four classification methods, namely Fully connected neural network (FCnet), support vector machine (SVM), classification linear model (CLINEAR), and KNN, to classify breast cancer from thermographic images. The accuracy rates achieved by the FCnet, SVM, CLINEAR, and k-nearest neighbors (KNN) algorithms were 94.2%, 95.0%, 95.0%, and 94.1%, respectively. Furthermore, the reliability parameters for these classifiers were computed as 92.1%, 97.5%, 96.5%, and 91.2%, while their respective sensitivities were calculated as 95.5%, 94.1%, 90.4%, and 93.2%. These findings can assist experts in developing an expert system for breast cancer diagnosis.

This research, with a qualitative approach, is based on a literature review and a press analysis related to mergers, acquisitions and dissolutions of Higher Education Institutions in South America. Our findings evidence a gap in the academic literature for analyzing and understanding these processes. The literature on the subject is scarce; however, the press has recorded them in a constant way. While in the past this phenomenon was mainly among public universities, currently it is a fundamentally private trend. The main reasons to carry out this process by Higher Education Institutions are those related to geographic expansion or positioning (for merger processes), absorption and concentration of institutions by groups of interest (for merger processes, acquisition) and, the crisis resulting from the financial-administrative management of the institutions, as well as the non-compliance with national and international quality standards designed by accreditation agencies and institutions (for dissolution processes). On the contrary of some literature results, in any of the processes the search for prestige or reputation by the institutions was detected as a reason.

This research analyzes disaster risk financing within the framework of the disaster management policy in Indonesia as the implementation of the Disaster Management Law, Number 24 of 2007, by examining recent issues, challenges, and opportunities in disaster financing. Utilizing a qualitative approach, the research systematically reviews various studies, reports, and existing regulations and policies to understand the current landscape comprehensively. Recent developments in disaster risk financing in Indonesia highlight the need for a nuanced exploration of the existing policy framework. Fiscal constraints, evolving risk landscapes, and the increasing frequency of disasters underscore the urgency of effective disaster risk financing strategies. Through a qualitative examination, this study identifies challenges while illuminating opportunities for innovation and improvement within the current policy framework. The contribution of this research extends to both theoretical and practical levels. Theoretically, it enriches the academic discourse on disaster risk financing by offering a nuanced understanding of the complexities involved. On a practical level, the findings derived from the examination provide actionable recommendations for policymakers and practitioners engaged in disaster management in Indonesia. The insights aim to inform the refinement of disaster management policies and practices, fostering resilience and adaptability in the face of evolving disaster scenarios.

This paper provides insight into innovation energy, its five working mechanisms, and innovative work behaviour (IWB). Although human energy is often mentioned as an important factor in theories about motivation, it is still an unexplored theme in literature. The management of organisations often focuses on the innovation content and neglects the process aspects. Strategic and operational HRM involvement is needed to realising the essential conditions for the innovation energy of innovative employees. An abductive case study on innovation energy took place in five educational departments of one academy at Saxion University of Applied Sciences in the Netherlands. We interviewed 21 innovating lecturers and their five team leaders individually and organised five focus groups with a total of 17 team members. Innovation energy converts individual innovation properties (creativity, psychological empowerment, and optimism) into IWB. Organisations must pay attention to these properties and four other working mechanisms (autonomy, teamwork, leadership, and external contacts) that influence this conversion process. HRM professionals should be involved with innovation processes to realise the right conditions for innovation energy, together with line management. The construct of innovation energy with five working mechanisms gives more insight into the IWB process from the perspective of the engaged employee with IWB. This research contributes to the body of knowledge on IWB, (human) innovation energy, and engagement in relation to HRM.

Major principles of organizational management like unity of command and unity of direction are quite important to foster co-ordination and efficiency in organizations. Since Islamic management is an offshoot of the modern Western management theories these principles have considerable relevance to Islamic management as well. This paper aims to discover how Islamic principles can solve modern problems of organizational management in order to demonstrate an interdependent system that teaches ethics and management. This paper attempts to offer an analytical discussion regarding Islamic views on the challenges that emerge regarding the need for cohesion in managing any organization. On the basis of a conceptual review, it highlights how unity of command and unity of direction can influence inspiring better management at all levels positively. Such clarification tries to elicit the Islamic interpretation that may lead to increased workforce commitment due to their motivation emanating from religion, contribute principles that will benefit the value addition process of labor and management’s decision-making process towards wider organizational goals, and enrich literature on management from Islamic principles and thoughts. This text succinctly examines the principles of unity of command and unity of direction that promote the development of management work ethics and the implications of Islamic management. The paper reviews the principles of unity of command and unity of direction as derived from The Holy Qur’an and Hadith, and examines various empirical studies conducted in different countries. These discussions subsequently bring out that the Islamic approach is comprehensive and practically relevant in the interest of present-day organizations. The paper concludes that intention and purity of hearts, regardless of the leadership styles of management, will direct the leaders and workforce to continually strive hard and give their best in their organizational management functions.