Despite the obvious link between spirituality, religiosity and ethical judgment, a definition for the nature of this relationship remains elusive due to conceptual and methodological limitations. To address these, we propose an integrative Spiritual-based model derived from categories presumed to be universal across religions and cultural contexts, to guide future business ethics research on religiosity. This article aims to empirically test in the context of Islam. It examines how different Muslims' views of God influence their ethical judgments in organizations, and (...) how this process is mediated by their religious practice and knowledge. Comprising focus group and vignette designs, the study was carried out with a random sample of 427 executives and management professionals from Saudi. After data collection, the study hypotheses were tested using structural equation modeling. The findings confirmed that a view of God based on hope might be more closely associated with unethical judgments than a view based on fear or one balancing hope and fear. Furthermore, religious practice and knowledge were found to mediate the relationship between Muslims' different views of God and their ethical judgments. These results provide unique theoretical insights into religiosity's influence on ethical judgment, with important implications for management. (shrink)

The coronavirus outbreak around the world has caused public health concerns and changes in peoples’ behaviors and psychological distress. The pandemic impacts on human behavior, emotions, and cognition, leading to diverse reactions in relation to awareness of the disease. However, there is little understanding around the psychological impacts of the pandemic and strategies to overcome this impact. This study aimed to examine individuals’ reactions toward the COVID-19 pandemic in relation to their psychological hardiness, their degree of awareness toward the pandemic, (...) and precautionary measures taken. Individuals living in Saudi Arabia were invited to complete an online questionnaire which included demographic items, psychological responses to the pandemic, awareness of COVID-19, and measures of psychological hardiness. A total of 1272 individuals were recruited into the study, with the majority being female. Results indicated that the average psychological responses to the COVID-19 pandemic in the study sample were 75.85%. This indicates that the sample generally has a high level of positive psychological responses to the COVID-19 pandemic. The awareness of COVID-19 among Saudi was 91.50%. This indicates a high level of awareness among the study sample. (shrink)

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence. Analysis of organized data has been very successful, but analyzing human behavior using social media data becomes challenging. The social media data comprises a vast and unstructured format of data sources that can include likes, comments, tweets, shares, and views. Data analytics of social media data became a challenging task for companies, such as Dailymotion, that have billions of daily users and vast (...) numbers of comments, likes, and views. Social media data is created in a significant amount and at a tremendous pace. There is a very high volume to store, sort, process, and carefully study the data for making possible decisions. This article proposes an architecture using a big data analytics mechanism to efficiently and logically process the huge social media datasets. The proposed architecture is composed of three layers. The main objective of the project is to demonstrate Apache Spark parallel processing and distributed framework technologies with other storage and processing mechanisms. The social media data generated from Dailymotion is used in this article to demonstrate the benefits of this architecture. The project utilized the application programming interface of Dailymotion, allowing it to incorporate functions suitable to fetch and view information. The API key is generated to fetch information of public channel data in the form of text files. Hive storage machinist is utilized with Apache Spark for efficient data processing. The effectiveness of the proposed architecture is also highlighted. (shrink)

While there is a widespread acceptance of the link between religiosity and ethics, there is less certainty how this influence occurs exactly, necessitating further research into these issues. A main roadblock to our understanding of this influence from an Islamic perspective is the absence of a validated measurement tool. The purpose of this study therefore is to develop a Scale of Muslims’ Views of Allah. This article discusses how the SMVA was developed through the following five steps: establishment of content (...) and face validity; application of a cognitive interviewing technique to pretest the SMVA with sixteen participants; pilot testing of the SMVA with twelve participants; administration of the SMVA online to marketing and management professionals via a multi-stage cluster sampling process to verify the scale’s reliability and validity; and testing criterion-related validity. The results showed that the newly constructed 13-item scale had adequate psychometric properties. Finally, the implications for organisations, limitations and future research are discussed. (shrink)

Purpose: The purposes of this study were to assess the knowledge, attitude, and practice (KAP) of AI in Endodontics and implantology education among dental professionals' and dental students in Endodontics and implantology education at the Kingdom of Saudi Arabia. Materials and methods: The present study is a descriptive cross-sectional online survey that was carried out among dental students and dental professionals in the Kingdom of Saudi Arabia. A self-structured, close-ended questionnaire that was administered that consisted of 17 questions was included. (...) The questionnaire validity and reliability were evaluated for vetting and remarks. The questions were circulated through Google Forms, and it was circulated among the study participants through online mode. The data were collected systematically, and SPSS Statistics version 26.0 was used for data analysis. Results: There were 805 responses, (443 dental students and 362 dental professionals') participated in the study through Google Forms. Among these, 435 (54%) were females and 370 (46%) were males. In the study group, 491 (61.0%) were aware of AI, and 314 (39.0 %) were not aware (p-value 0.000). Among the 17 questions used to assess the KAP, 12 questions were significant with a p-value less than 0.05. More than 73 % prefer to use artificial intelligence in endodontics and implantology education. About 120 (14.9%) agreed that AI will replace the role of dentists in the future. There were no significant results in comparing dental students and dental professionals. Conclusion: The current study contributes valuable insights into knowledge, attitudes, and perceptions related to artificial intelligence among dental student and professionals in the Kingdom of Saudi Arabia. Despite some reservations, the majority show a positive view towards the role of AI in the endodontic education, which indicates fertile ground for further exploration and integration of AI technologies into endodontic education. There is a need for continued future research to explore strategies to improve the potential of AI while test their reliability and relevance in endodontic and implantology education. (shrink)

Background: The quality of patient care is effective for new privatized healthcare system. For providing the effective services to the patients’ technology tools play important role. Also, new privatized healthcare organizations introduce the healthcare insurance. The aim of current systematic review is to explore the quality of patient care with new privatized healthcare system in the context of technology integration and health insurance. Method: A thorough search of databases, including Scopus, PsycINFO, and Web of Science, was conducted in order to (...) categorize relevant research that was published between 2020 and 2024. The inclusion criteria for this research were English-language papers that focused on exploring the quality of patient care with new privatized healthcare system in the context of technology integration and health insurance.Following an initial screening and quality evaluation, eleven studies were included in the synthesis. Results: The study database was searched through electronic databases, identifying 1679 records. 15 unique records were assessed for eligibility based on titles and abstracts. After initial screening, 11 studies were selected for full-text assessment. After independent review, 11 studies met criteria and were included in the systematic review. The selected studies were conducted between 2020-2024 and varied in design. The PRISMA flowchart illustrates the selection process. Quality evaluation involves peer-reviewed journals, overall assessment, and quality management. Conclusion: As the SR concluded that advanced technologies like electronic health records, telemedicine, and predictive analytics can improve patient care and treatment accuracy. However, challenges like rising costs, complex insurance plans, and data security need to be addressed. Effective training for healthcare providers, clear insurance plans, and robust information security systems are crucial for maximizing profits. (shrink)

Diabetes mellitus (DM) is a colossal burden in global health, its prevalence increases steadily throughout the world. This systematic review explores the pathophysiology and epidemiology of diabetes, which describes the interactions that implicate that is the result of the play between genetic, environmental, and lifestyle factors in the development and progression of the disease. The review also describes a plethora of pharmacological treatments available to manage diabetes, with the oral agent, insulin regimens, and new approaches to therapy. Integrating the wisdom (...) of the best clinical guidelines, those are from American diabetes association (ADA), European association for the study of diabetes (EASD), and International Diabetes Federation (IDF). Since these reviews are consistent with normative standards for evidence-based recommendations of optimal care of diabetes. The review goes further to cover technological advances in the management of diabetes. They include Continuous Glucose Monitoring, advanced insulin delivery systems, and Artificial Pancreas Systems. Such technologies hold more promising routes to better glucose control and patient quality of life. All this comes along with challenges that their deployment and maintenance that run through economic, adherence issues, and unequal access to healthcare. The future research and innovation in the battle against DM will include the application of personalized medicine and the development of advanced digital health solutions. This article will become a treasure for health professionals, researchers, and policymakers who have dedicated themselves to battling the adversities of diabetes mellitus. (shrink)

Based on the Lotka–Volterra system, a pest-natural enemy model with nonlinear feedback control as well as nonlinear action threshold is introduced. The model characterizes the implementation of comprehensive prevention and control measures when the pest density reaches the nonlinear action threshold level depending on the pest density and its change rate. The mortality rate of the pest is a saturation function that strictly depends on their density while the release of natural enemies is also a nonlinear pulse term depending on (...) the density of real-time natural enemies. The exact impulsive and phase sets are given. The definition and properties of the Poincaré map corresponding to the pulse points on the phase set are provided. We investigate the existence and stability of boundary and interior order-1 periodic solution. The theoretical analysis developed in the present paper combined with nonlinear controlling measures as well as nonlinear action threshold methods and techniques laid the foundation for the establishment and analysis of other state-dependent feedback control models. (shrink)

This chapter contains sections titled: Epistemological Background Educational Applications On Not Addressing Epistemological Controversies.

Duchamp’s aspiration to become more philosophical in his art mirrors Heidegger’s aspiration to become more poetical in his philosophy. Their shared mistrust of subjectivity led them to question the continued viability of art on the one hand and of philosophy on the other. This article examines Heidegger’s essay in juxtaposition to Duchamp’s work, highlighting Heidegger’s (often underappreciated) playful approach to his weighty task, and, in regard to Duchamp, revealing just how serious art can be when it doesn’t appear to take (...) itself too seriously. (shrink)

This chapter contains sections titled: Science and Leidenschaft The Music of the Gay Science and the Meaning of Wissenschaft Gay Science: Passion, Vocation, Music.

On the political nature of the analytic - continental distinction in professional philosophy and the general tendency to discredit continental philosophy while redesignating the rubric as analytically conceived.