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This paper aims to develop a model that reflects the current transformer (CT) core materials nonlinearity. The model enables simulation and analysis of the CT excitation current that includes the inductive magnetizing current and the resistive excitation current.

A nonlinear CT model is established with the magnetizing current as the solution variable. This model presents the form of a nonlinear differential equation and can be solved discretely using the Runge–Kutta method.

By simulating variations in the excitation current for different primary currents, loads and core materials, the results demonstrate that enhancing the permeability of the B–H curve leads to a more significant improvement in the CT ratio error at low primary currents.

The proposed model has three obvious advantages over the previous models with the secondary current as the solution variable: (1) The differential equation is simpler and easier to solve. Previous models contain the time differential terms of the secondary current and excitation flux or the integral term of the flux, making the iterative solution complicated. The proposed model only contains the time differential of the magnetizing current. (2) The accuracy of the excitation current obtained by the proposed model is higher. Previous models calculate the excitation current by subtracting the secondary current from the converted primary current. Because these two currents are much greater than the excitation current, the error of calculating the small excitation current by subtracting two large numbers is greatly enlarged. (3) The proposed model can calculate the distorted waveform of the excitation current and error for any form of time-domain primary current, while previous models can only obtain the effective value.

The purpose of this paper is to explore how computer self-efficacy (CSE), perceived information overload (IO) and the digital native perspective predict students’ information literacy (IL) self-efficacy.

The research was conducted in Israel and comprised 117 students from the Information Science Department at Bar-Ilan University. Researchers used five questionnaires to gather personal details: a demographic questionnaire, the IL self-efficacy questionnaire, the CSE questionnaire, technology usage (TU) questionnaire and the perceived IO questionnaire.

The findings confirm that these variables significantly predict students’ IL self-efficacy.

Instructors and librarians should be familiar with the issue of individual differences, as well with the issue of students’ age. These factors may help them choose the most appropriate way when instructing IL skills to their students.

There has been an increasing trend toward the creation of senior management teams (SMTs) which are characterized by a high degree of functional heterogeneity. Although such teams may create better linkages to information, along with the benefits of functional heterogeneity comes the potential for conflicts that stem from the value differences among subcultures in an organization. These conflicts can adversely affect performance. The purpose of this paper is to examine how school leaders’ activities mediate the relationship of SMT functional heterogeneity to SMT effectiveness (in-role performance and innovation).

Data, which were obtained through a survey, was collected from a sample of 92 schools in Israel. Data were collected from two sources (principals and SMT members) to minimize problems associated with same source and common method bias. Data were aggregated at the team level of analysis.

The results of structural equation model indicated that principal’s internal activities enhanced SMT in-role performance whereas principals’ external activities enhanced SMT innovation. The results also showed that principal’s internal activities are full mediators of the relationship between functional heterogeneity and SMT in-role performance.

This study has implications for policies involving the design and implementation of leadership tools to effectively manage SMTs. The results of this study can help principals to establish priorities and allocate their time and resources more effectively, both inward and outward the SMT boundary so as to assist functionally heterogeneous SMTs translating the benefits of functional heterogeneity into significant achievements.

Knowledge acquisition is a pivotal concern for the students and many sources help them to obtain knowledge. In this paper, the authors theoretically examine three engagements such as social media, peer and academic engagement by the theoretical foundation of engagement theory which tells that students interact and collaborate, sharing information for the acquisition of knowledge that enhances their academic performance. But due to the abundance of information, knowledge and resources available to students for the acquisition of knowledge, it becomes difficult for them to comprehend the most relevant information. In this vein, this study examined the impact of information overload on the relationship between social media, peer and academic engagement and knowledge acquisition of students.

The proposed model and structural relationships were validated using the structural equation modeling (SEM) technique through AMOS, version 24.0. To empirically test the hypothesized model, data are collected from the universities of the Sahiwal region (Sahiwal, Okara, Pakpattan) using structured questionnaires.

The findings revealed that social media engagement and academic engagement are positively associated with knowledge acquisition, whereas peer engagement is negatively associated with knowledge acquisition. Moreover, the results of the study further suggested that information overload dampens the positive relationship between social media, peer and academic engagement and knowledge acquisition, which causes negative consequences on students' knowledge acquisition and learning outcomes.

Researchers can use this study as the literature as many of the previous studies focused on the positive side of social networking sites and technologies for knowledge purposes, but this study extends the research and focused on the other side of the picture which has been ignored earlier by researchers. The authors theoretically explained the adverse effects of information overload on students' academic progress caused by social media and the abundance of irrelevant information these advanced technologies offer daily. The current research focused on identifying the critical role of social media, peer and academic institutions providing a lot of information to students which caused stress, anxiety and other psychological issues in them. So, this study adds to the literature by highlighting the adverse effects of unnecessary information provided by multiple resources to students.

Educationalists can adopt this study as a tool in academic institutions for promoting learning and to actively engage students in collaborative learning activities. As the findings of the study confirm that information overload is caused by the imbalanced use of information technology (IT) and social media sites, so teachers can help students in developing creativity and maintaining the balance between using technology and innovation in their studies pattern. Universities and institutions can play a vital role by exploring further opportunities for students and by making such policies that can help students in their learning progress. For this purpose, the authors developed a model based on the literature and theories that could change the academic system of Pakistan and enhance students’ practical knowledge by motivating students in taking part in learning activities by making the higher education system of Pakistan more engaging.

The authors are presenting simulation games-based learning as an alternate approach to learning and teaching that can positively influence students' engagement with learning activities in Pakistan. By adopting this model, the education system of Pakistan could improve as it can lead to better academic performance of students, which ultimately leads to a better education system. Thus, games if correctly designed and implemented in the education system of Pakistan, it can make a great difference in students' value of learning experience. The enjoyment, interactive and realistic nature of the simulation games appears to produce this value, and students tend to engage more toward these types of games rather than traditional learning methods. Simulation games provide students with an opportunity to engage in both hard (financial management, strategy making, decision-making) and soft skills (negotiation, collaboration) in business by challenging their thinking and decision-making power in a safe learning environment.

The phenomena of overload have become increasingly viable due to abundance of resources providing unnecessary information to students as they can get information from peers, teachers, social media platforms, blogs, wikis and many other platforms, which ultimately exhaust their capacity and leading them toward poor academic performance and other negative consequences (Yu, 2019; Bosch, 2016). This study focuses on students of higher education in Pakistan (Sahiwal region) and discusses the major challenges and opportunities that they had to face with the advancement of technology and the current social state of the knowledge in society.

This paper aims to discuss innovations in the training and development practices of companies and delineate a new approach to training and development in the context of the hybrid workplace using the ADDIE and Kirkpatrick training models.

This paper discusses innovations in training and development in modern times and builds on the instructional training design approach or the ADDIE Model and the Kirkpatrick Model of training evaluation.

The paper presents new approaches to training and development in the context of the hybrid work model applying the ADDIE Model and the Kirkpatrick Model. These new approaches are both necessitated and also made possible due to the technological advancements of modern times.

With the rapid transition of companies to the hybrid model of work in recent times, several human resource management practices need to be transformed to suit the requirements of the new work model. Training and development is one function that needs to change in the hybrid work model to ensure its effectiveness. This paper analyses innovations in the training and development practices of companies and discusses new approaches while applying existing training models, the ADDIE and Kirkpatrick Models, to adapt to the changes associated with the hybrid work model.

The accounts receivable pool (ARP) is an e-invoice management system that provides suppliers with easy access to financial service. The purpose of this paper is to focus on the strength and weakness of ARP mechanism and suggest efficient methods to identify creditworthy borrowers.

By decomposing the sales records of 348 ARP borrowers and predicting the occurrence of overdue incidences, this study first portrays the creditworthy borrowers by sales features. Then, content analysis was applied to measure the loadings of soft and hard information, and examined the effectiveness of different information structures in creditworthiness assessment.

For ARP borrowers, upward trend and low volatility reveal their creditworthiness. In order to identify creditworthy borrowers beforehand, ARP financiers who have elaborated more soft information and less hard information can perform better.

This study first discussed ARP finance from a critical perspective and underlines borrower assessment to eliminate the defect of loose recourse. The empirical evidence presents the sales features of creditworthy borrowers. Moreover, the results suggest an efficient approach for ARP financiers to conduct better assessment.