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Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of data generated from student interaction with learning management systems (LMSs) in blended learning (BL) environments may assist with the identification of students at risk of failing, but to what extent this may be possible is unknown. However, existing studies are limited to address the issues at a significant scale.

This study develops a new approach harnessing applications of machine learning (ML) models on a dataset, that is publicly available, relevant to student attrition to identify potential students at risk. The dataset consists of the data generated by the interaction of students with LMS for their BL environment.

Identifying students at risk through an innovative approach will promote timely intervention in the learning process, such as for improving student academic progress. To evaluate the performance of the proposed approach, the accuracy is compared with other representational ML methods.

The best ML algorithm random forest with 85% is selected to support educators in implementing various pedagogical practices to improve students’ learning.

The young members of Generation Z, who are hyperconnected and addicted to social media, are thought to be particularly sensitive to environmental and social concerns. This study aims to draw on a conceptual model that is based on the stimulus-organism-response paradigm. Exposure to sustainability content on social media is considered to be a stimulus that affects the development of sustainability advocacy among GenZers, who modify their lifestyles. Five hypotheses are developed and tested. The goal is to define the antecedents of sustainability advocacy.

A Web survey was distributed to 660 Italian members from Generation Z (aged between 14 and 25) to detect the frequencies of exposure to sustainability content on social media, sustainable habits, sustainable consumption behaviours and actions that are related to sustainability advocacy on social media. Correlation and multiple regression analyses were conducted to investigate the relationships between these factors.

The results show that exposure to sustainability content on social media affects both sustainable habits and sustainable consumption behaviour. These three factors influence the propensity to promote sustainability-related issues on social media and should, therefore, be considered to be antecedents of sustainability advocacy.

The study, which takes the social responsibilities of large companies into account, is conducive to understanding how brands can intervene in the soliciting processes of sustainability advocacy through social media to gain legitimacy and increase brand awareness.

This study is among the first to consider the use of social media for advocating sustainability among Generation Z, thus enriching academic research on this cohort.

The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements. In addition, this paper proposes a standard protocol with a set of metrics for measuring the effectiveness of Arabic optical character recognition (OCR) systems to assist researchers in comparing different Arabic OCR approaches.

This paper describes an experiment to automatically evaluate four well-known Arabic OCR systems using a set of performance metrics. The evaluation experiment is conducted on a publicly available printed Arabic dataset comprising 240 text images with a variety of resolution levels, font types, font styles and font sizes.

The experimental results show that the field of character recognition for printed Arabic still requires further research to reach an efficient text recognition method for Arabic script.

To the best of the authors’ knowledge, this is the first work that provides a comprehensive automated evaluation of Arabic OCR systems with respect to the characteristics of Arabic script and, in addition, proposes an evaluation methodology that can be used as a benchmark by researchers and therefore will contribute significantly to the enhancement of the field of Arabic script recognition.

While scholars agree on the complexity of knowledge management processes (KMPs), achieving a comprehensive understanding of these processes and how they integrate into the core organizational processes still proves challenging. In response to this research gap, this study presents a pioneering, inductive exploration into the views of chief knowledge officers (CKOs).

We employed an interpretative multiple-case study methodology, conducting semi-structured interviews with 28 CKOs across diverse industry sectors. Thematic analysis was utilized to analyze the data.

The CKOs’ insights reveal that the degree of “superposition and overlap” between KMPs and business processes is pivotal to the effectiveness of both knowledge management (KM) and business operations. The study introduces the concept of “transparent KM,” where KM becomes an imperceptible yet indispensable element of the organizational structure. This challenges the conventional notion of KM as an isolated discipline and highlights the dangers of artificially segregating KMPs from core business processes, which can result in employee disengagement and managerial doubts about the value of KM.

This research contributes to a novel vision of KM, advocating for the seamless integration of KMPs into organizational processes. It suggests that KM should be considered a ubiquitous force that naturally enhances organizational workflows. Scholars, practitioners and company leaders, in designing business processes, should take into consideration their KM implications and, in turn, potentially reshaping the strategic role of KM in organizations.

Referring to the theory of organizational empowerment, the purpose of this study is to examine the relationship of organizational support and perceived environment on quality of care and job satisfaction, with organizational commitment as a mediator for the first variable.

This study employed a cross-sectional research design and data was collected from seven private and public sector hospitals in Pakistan, involving 352 nurses on a voluntary basis through a self-administered survey.

The results showed that organizational commitment mediates the relationship between organizational support and job satisfaction with the quality of care. Moreover, the perceived environment has an impact on job satisfaction and quality of care.

Healthcare service quality seems strictly dependent on the perceived quality of care and job satisfaction among healthcare workers. Theoretical and practical implications for policymakers and HR management are discussed.