Suchergebnisse

Purpose: Decision Science is important in many fields, including education. In the current educational landscape, as educational processes evolve to meet the challenges of the fourth industrial revolution, this study utilizes a well-established impact factor, academic supervision, to enhance teacher performance. The expectations of school principals are considered critical factors in the implementation of decision supervisors. This study underscores the significance of elements influencing the improvement of teacher performance, with a focus on planning, decision-making, and implementation pressures within the context of academic supervision.
Design/methodology/approach: This study employs a case study approach and collects data through interviews, observations, and document analysis. Data were analyzed by transcribing, taking notes, recording videos, and examining documents to generate ideas, codify data, develop themes, interpret the information, and draw conclusions.
Findings: The study's findings reveal that the planning expectations for an academic supervision program decision are high and sufficient to consider the needs of teachers, involve all school apparatus components, and integrate the program with other activities. The expectations for making decisions and implementing the academic supervision program are met by fostering solid teamwork, increasing the frequency of classroom supervision visits, advancing the profession, and instilling a professional attitude among teachers. However, in terms of reviewing decisions, discussing them, seeking improvement solutions, and enhancing teacher performance, the evaluation expectations and follow-up results of academic supervision still need improvement. The findings of this study suggest that the decision-making expectations of principals as supervisors are crucial for decision performance and the success of academic supervision programs designed to make decisions and improve teacher performance.
Originality/value: Considering the time constraints of this study, future researchers should explore school principals' expectations as supervisors in greater depth, especially concerning decision-making and the improvement of teacher performance.
Practical implications: This study benefits school principals in their roles as decision-makers and supervisors, encompassing planning, implementation, and the monitoring of academic supervision decisions. It also covers outcomes such as reviews, discussions, and proposed solutions for enhancing teacher performance, with indirect implications for student learning.

Industry 4.0 is a set of technologies that companies require to promote innovation strategies and obtain a rapid response in dynamic markets. It focuses mainly on interconnectivity, digital technology, predictive analytics and machine learning to revolutionize the way companies operate and develop. Therefore, this article proposes and motivates the implementation of Industry 4.0 in organizations. Studying the state of the art and reviewing the current situation of business intelligence (BI) technology, the way it has positively impacted organizations at the economic and business level in terms of decision-making and some success stories implemented in different business, academic, social and governmental environments. Moreover, it addresses the future expected for Industry 4.0 primarily in BI and how companies should face this revolution. This article provides knowledge contribution about the current state and positive consequences of Industry 4.0, and high development in technology when implemented in the organization and the harmonization between production and intelligent digital technology.

In this review, our aim is to make a brief description about technology of Wireless Sensor Network (WSN) and its capability to pave the way in order to make connection between physical and virtual world based on Internet worldwide network. Hence, in this technology, sensor nodes play an important role to transmit data from a node to other defined nodes in its broaden range. Due to gain most optimal state from WSNs, subject of localization for radio frequency networks has a great importance in many technical applications such as military devices to detect specified local points to attack or defend, civil engineering and in general sensor networks. The main technology to obtain direct locations is GPS (Global Positioning System). After expressing a brief history on introduction part, we will go through in order to interrogate on main structure of WSNs regarding mathematical formulations and algorithms to find best and optimal access points based on Localization action. Then, we summarize algorithms and approaches to develop in order to introduce the best strategy in order to access nodes in the best possible state in WSNs. As a result, we conclude about the mentioned issues in order of comparison and reaching a final result. Therefore, final aim of this review is to explain efficiency and reliability of localization based on different opinions. Results show this overwhelming technology can be completely modified in order to find new solutions to find nodes in most optimal nodes based on spontaneous structure of WSNs.