This study sought an innovative quality management framework for Chinese Prefabricated Buildings (PB) projects. The framework combines TQM, QSP, Reconstruction Engineering, Six Sigma (6Σ), Quality Cost Management, and Quality Diagnosis Theories. A quantitative assessment of a representative sample of Chinese PB projects and advanced statistical analysis using Structural Equation Modeling supported the framework, indicating an excellent model fit (CFI = 0.92, TLI = 0.90, RMSEA = 0.06). The study significantly advances quality management and industrialized building techniques, but it also emphasizes the necessity for ongoing research, innovation, and information exchange to address the changing problems and opportunities in this dynamic area. In addition, this study’s findings and recommendations can help construction stakeholders improve quality performance, reduce construction workload and cost, minimize defects, boost customer satisfaction, boost productivity and efficiency in PB projects, and boost the Chinese construction industry’s growth and competitiveness.

What is “truth”? This is the main philosophical question that many of the contemporary philosophical theories (e.g., consistency theory, correspondence theory, semiotics, and pragmatism) tried to investigate over the past decades. However, these theories mostly approached “truth” from logical and epistemological perspectives. On the other hand, Santayana’s theory of truth embarks in a different direction. His perspective was laid out in his book “The Realm of Truth”, which is considered one of the parts of his seminal work “The Realms of Being”. Santayana's theory of truth founded on the “critical realism” to which he belongs, and thus his approach was “realistic” or “ontological”. The novelty of Santayana's theory of truth is that it brings the “theory of truth” out of the fields of logic, epistemology, and philosophies of language, and into the field of being, ontology, or the realm of lived experience. In this paper we introduce an analytical and critical account of Santayana's theory of truth, and its moving from logic to realism.

This study employed a deductive approach to examine external HRM factors influencing job satisfaction in the post-pandemic hybrid work environment. Explores the intermediary functions of age, gender, and work experience in this particular environment. The data-gathering procedure consisted of conducting semi-structured interviews with carefully chosen 50 managers representing various sectors, industries, organizations, and professions. The applied approach was adopted to allow a systematic and unbiased investigation of the mediating variables. The study used SPSS 25 and Smart PLS 4 to analyze the model, enhancing understanding of HRM challenges in a constantly evolving workplace. The findings offer valuable insights for HR experts and businesses, highlighting the value of comprehending what methods HRM components influence job satisfaction to optimize employee well-being and productivity. The study provides applied recommendations designed for enhancing employee contentment in the AI-evolving professional atmosphere, shedding light on the importance of supportive leadership strategies, particularly during AI-triggered downsizing. Additionally, we welcome a new era to push forward in integrating and managing AI tools and technologies to automate decision-making and data processing. Results propose that Exogenous influences of human resource management (HRM) influence manager job satisfaction considerably. Specifically, downsizing caused by AI was found to have negative consequences, whereas diversity and restructuring have favorable effects. Gender was recognized as a crucial factor that influences outcomes, then age and years of experience have the most visible effect.

In immigration services, it is essential to provide good service to the public, in line with the principles of public service. However, in reality, many people still feel that they have not received optimal public service. This study addresses the issue of whether there is a direct and indirect influence of employee competence on citizen satisfaction, with the indirect influence using service quality as a mediating variable. This research employs a quantitative associative method with a population of applicants at the Surakarta Class I Checkpoint Immigration Office over one month, totaling 6236 individuals. A sample of 259 people was obtained using the Isaac and Michael table. Data collection was conducted using a questionnaire distributed via Google Forms to the applicants. The results were then analyzed using descriptive analysis, hypothesis testing with SPSS version 26, path analysis, and finally, the Sobel test. The results of the study indicate that employee competence directly affects service quality with a t-value (18.119) exceeding the t-table (1.969), but does not directly affect citizen satisfaction with a t-value (0.831) less than the t-table (1.969). Meanwhile, service quality directly affects citizen satisfaction with a t-value (10.156) greater than the t-table (1.969). Path analysis and the Sobel test also show that employee competence indirectly affects citizen satisfaction through service quality, with a Sobel test t-value of (8.87) greater than the t-table (1.969). Based on these results, it is concluded that there is no direct influence of employee competence on citizen satisfaction, but there is an indirect influence of employee competence on citizen satisfaction through service quality.

Education is one of the basic needs that every child should have. Information communication technology has a significant influence on special needs children’s schooling. Instead of considering learning a difficult chore, the adoption of measures such as ICT can simplify it and make inclusive education a reality. Aim: This current systematic literature review aims to determine the extent of ICT adoptions in special education scenarios. Method: This paper examined pertinent literature on ICT in special education in the period 2000 to 2023. The key articles extracted through keyword search were gathered from databases indexed in Web of Science and Scopus. The collected data were then screened using a VOS viewer for the most relevant information. From the web of Science, 31 articles were found to have connections with one another while the same process when applied to the Scopus database, helped obtain 8 articles. Results: A total of 39 articles fulfilled the search inclusion criteria of minimum two keyword occurrences. These articles were all written in English and published between 2000 and 2023. The in-depth analysis of all these articles was performed along three broad themes, viz., availability of SEN based ICTs and their impact on children with disabilities, quality of available ICT integrated curriculum for SEN and the challenges in promoting ICTs for inclusive education. Conclusions: The paper concludes that ICT integration in special education would make learning easier for children with disabilities when compared to learning using traditional methods. Implications: The paper pinpoints significant limitations in ICT use found in existing literature and the lack of it to support inclusive education. The authors make recommendations for improved ICT integrated curriculum to improve inclusivity.

This study aims to develop a robust prioritization model for municipal projects in the Holy Metropolitan Municipality (Makkah) to address the challenges of aligning short-term and long-term objectives. The research explores How multi-criteria decision-making (MCDM) techniques can prioritize municipal projects effectively while ensuring alignment with strategic goals and local needs. The methodology employs the analytic hierarchy process (AHP) and exploratory factor analysis (EFA) to ensure methodological rigor and data adequacy. Data were collected from key stakeholders, including municipal planners and community representatives, to enhance transparency and reliability. The model’s validity was assessed through latent factor analysis, confirming the relevance of identified criteria and factors. Results indicate that flood prevention projects are the highest priority (0.4246), followed by road projects (0.3532), park construction (0.1026), utility projects (0.0776), and digital transformation (0.0416). The study highlights that certain factors are critical for evaluating and prioritizing municipal projects. “Capacity and Demand” emerged as the most influential factor (0.5643), followed by “Strategic Alignment” (0.2013), “Project Interdependence” (0.1088), “Increasing Investment” (0.0950), and “Risk” (0.0306). These findings are significant as they offer a structured, data-driven approach to decision-making aligned with Saudi Vision 2030. The proposed model optimizes resource allocation and project selection, representing a pioneering effort to develop the first prioritization framework specifically tailored to Makkah’s unique municipal needs. Notably, this is the first study to establish a prioritization method specifically for Makkah’s municipal projects, providing valuable contributions to the field.