Integration Of Technologies Research Articles

Examining Determinants of Real Estate Appraisal Accuracy in Property Business

This study investigates the factors influencing real estate appraisal accuracy, focusing on market dynamics, technological integration, appraiser expertise, and the regulatory framework. The research aims to explore how these factors impact the accuracy of property valuations performed by real estate appraisers in Saudi Arabia. A cross-sectional survey was conducted with 161 licensed real estate appraisers, using a convenience sampling method. Data was collected through a structured questionnaire, and the responses were analyzed using structural equation modeling (SEM). The study found that market dynamics, technological integration, appraiser expertise, and regulatory frameworks significantly influence real estate appraisal accuracy. The findings highlight the importance of these factors in improving the reliability of property valuations, providing valuable insights for real estate professionals, regulators, and policymakers. The findings suggest that real estate appraisers should stay informed about market trends, enhance their technological skills, and continuously develop their expertise to improve appraisal accuracy. Regulatory bodies should strengthen guidelines and standards to ensure consistency in the appraisal process. Policymakers can use these insights to develop strategies that promote trust and stability in the real estate market.

Evaluating the factors influencing artificial intelligence technology uptake in health and safety management within the Ghanaian construction industry

Purpose The construction industry in Ghana faces significant challenges in managing health and safety risks, leading to high rates of accidents and fatalities. Despite the potential of artificial intelligence (AI) technologies to improve health and safety management, their adoption in the Ghanaian construction industry remains limited. This paper aims to identify and evaluate key factors influencing the uptake of AI technologies in construction health and safety management within the Ghanaian industry. Design/methodology/approach The study adopts a rigorous two-step qualitative approach to identify a set of 17 variables. First, an extensive analysis of scholarly publications was conducted to compile an initial variable list. Secondly, a pilot survey involving both academic and industry professionals assisted in refining the identified variables. Subsequently, a questionnaire survey involving 219 Ghanaian construction professionals then collects quantitative assessments of each variable using the purposive sampling technique. Statistical modelling using factor analysis and fuzzy synthetic evaluation (FSE) was applied to process the survey data and determine the criticality of the factor categories. Findings The factor analysis yielded a three-factor solution underlying the 17 adoption variables: Extensive technological requirements and costs, resistance to change and AI adoption and uncertainty about AI outcomes and value. Subsequently, FSE confirmation showed the Extensive Technological Requirements category as the most critical, with specialized algorithmic demands, infrastructure limitations and expert support needs presenting major obstacles Ghanaian firms face in AI adoption. Originality/value This research contributes robust empirical evidence and novel factor-based statistical analysis to augment the theoretical discourse surrounding construction safety technology integration and change dynamics. The developed fuzzy quantitative methodology offers a model for assessing complex innovation adoption decisions in the face of uncertainty. The research addresses a gap in existing literature by providing a comprehensive assessment of the technological, organizational and environmental factors shaping AI adoption decisions and offering practical strategies for overcoming adoption barriers.

Linguistic Landscape of Chiang Mai: Multilingualism and Cultural Communication in Tourism

Chiang Mai, a renowned tourist destination in northern Thailand, offers a fascinating linguistic landscape (LL) that reflects the intersection of cultural heritage, globalization, and tourism dynamics. This study explores the distribution and functions of languages in Chiang Mai's public signage, focusing on the dominance of Thai, the auxiliary roles of English and Chinese, and the implications for cultural preservation and global accessibility. Thai signage reinforces cultural identity and heritage, while English and Chinese cater to the linguistic needs of international tourists, enhancing navigation and cross-cultural communication. The research highlights the dual functions of LL: its informational role facilitates practical communication, and its symbolic role reflects the city’s inclusivity and cultural richness. However, challenges such as inconsistent translations and limited representation of minority languages remain. Addressing these issues through standardized multilingual policies and the integration of technology could further improve Chiang Mai’s LL, positioning it as a global model for balancing cultural preservation and tourism. This study contributes to the growing discourse on multilingualism and linguistic landscapes, offering insights into the role of language in fostering sustainable and inclusive tourism.

Virtual virtuoso: a systematic literature review of immersive learning environments for psychomotor skill development

Abstract Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal training. Despite the widespread use of technologies, comprehensive insights into the potential and specific advantages of ILEs within the psychomotor domain remain understudied. This systematic literature review investigates current research on ILEs tailored for psychomotor skill development, focusing on four key dimensions: motor skill classification, technological integration, feedback mechanisms, and design characteristics of virtual environments. By conducting frequency and correlation analyses, the review identifies positive correlations that suggest potential synergies between various aspects of ILE-based psychomotor training and highlights research gaps through negative correlations. The findings offer a comprehensive understanding of the state-of-the-art ILEs for psychomotor training and provide a foundation for future research in this evolving field.

Theoretical Analysis and Systematic Deconstruction of High Quality Development of Public Service for National Fitness

This study conducts a theoretical and systematic analysis of high-quality development (HQD) in China's National Fitness Public Service (NFPS). By integrating the principles of HQD—such as innovation, coordination, green development, openness, and sharing—with the practical demands of NFPS, we propose a multi-dimensional governance framework that emphasizes dynamic adaptation between service supply and public demand. Through literature review, case studies (e.g., Shandong Province), and comparative analysis (e.g., England's urban-rural disparity), we identify key challenges including fragmented governance, resource imbalance, and inadequate technological integration. A "process-result" analytical model is developed to highlight the roles of digital empowerment (e.g., blockchain, big data platforms) and performance evaluation mechanisms in optimizing service equity and sustainability. The findings underscore the necessity of collaborative governance among government, market, and society, while advocating for policy innovations to address regional disparities. This research not only enriches the theoretical discourse on public health governance but also offers actionable insights for global contexts striving to achieve inclusive fitness service systems.

Additional-Language Learning, Interdisciplinary Instruction, and Technology

In this issue, we focus on additional-language learning, interdisciplinary instruction, and technology. We begin with two additional-language articles, including one on foreign language teachers’ and students’ attitudes toward oral-corrective feedback in traditional and technology-enhanced classes, and another on the relationship between English-medium instruction (EMI) effectiveness factors and students’ EMI course satisfaction. Then, we present three interdisciplinary teaching articles, including one on fostering interdisciplinary cooperation and integration of technology in the teaching about socio-scientific issues, another on teaching literacy in an elementary-school classroom while incorporating Indigenous literacy scholarship, and a third on integrating political, social, and contemporary paradigms to teach biology. We then share two technology-oriented articles, including one on evaluating the readiness of students to use Virtual Reality technology to learn physics, and another describing gender differences regarding the level of emerging digital technologies’ competencies of STEM pre-service teachers. Five additional articles are presented on the topics of intersectional pedagogy, student engagement, transition from pre-service to in-service teaching, educational leadership, and teaching in low-economic background schools. This issue includes two book reviews.

Exploring meaning-making in instructional technology: A phenomenological study of english language teaching students

Abstract The benefits that different technologies provide to the educational processes have been experienced by educators for years. The advantages hat teachers gain from computers, the internet, different software and technologies that change and develop every passing day have caused students to develop different skills and have also made it a necessity for teachers to be able to use these systems. As a result of these requirements, as a result of the studies of the Higher Education Council and the Ministry of National Education, which regulate higher education in Turkey, courses addressing technology education and the integration of technology into the course have been added to the process. This study aims to understand the technology-based meanings developed by teacher candidates taking the Instructional Technologies (IT) course. Within the scope of the study designed according to Husserl's phenomenology understanding, the study was conducted by 12 English Language Teaching undergraduate students and 3 researchers. It has been observed that the socio-cultural capital of the primary subjects of the study, English Language Teaching students, has shaped their lives along with their technological capital in the post-truth period. It has been seen that gods with high technology skills have created digital victims through digital world tools. It has been observed that people who were victims in the past can become resisters who engage in passive resistance against the digital world, while individuals who were not victims in the past but were aware of their victimization can become characters who actively resist the process.

A service evaluation following the implementation of computer guided consultation software to support primary care reviews for chronic obstructive pulmonary disease

This study evaluates the impact of using a Clinical Decision Support System software in the form of a computer-guided consultation (CGC) when conducting Chronic Obstructive Pulmonary Disease (COPD) reviews in primary care. 5221 patients on the COPD register underwent CGC review with 21.1% found not to have COPD. Previously unrecognised cardiac disease was highlighted by the CGC in 7% of confirmed COPD cases. CGC review resulted in the number of patients possessing a self-management plan rising from 62–85%. 13% were found to have sub-optimal inhaler technique during CGC review with the CGC prompting correction in all cases. Only 26% of patients identified by the CGC as appropriate for Pulmonary Rehabilitation (PR) referral had previously attended a PR program. The integration of technology in the form of clinical decision support system software results in greater implementation of guideline-level care representing a scalable solution when performing COPD reviews.

Navigating the path to Industry 4.0: a study on key barriers in Indian textile supply chain

PurposeThis study investigates the barriers impeding the adoption of Industry 4.0 in the Indian textile sector.Design/methodology/approachIt identifies and prioritizes 15 significant barriers based on thorough research and expert opinions. The Decision-Making Trial and Evaluation Laboratory method is used to assess the influence and interdependencies of these barriers. A sensitivity analysis further validates the robustness of the findings.FindingsThe research uncovers significant barriers to I4.0 adoption, emphasizing their cause-and-effect dynamics. Key barriers include high implementation costs, inadequate government support, lack of managerial commitment, difficulties with technology integration, concerns about security and privacy and employee resistance due to job insecurity. These challenges are ranked to help decision-makers develop effective strategies for overcoming them.Research limitations/implicationsThis study focuses solely on the Indian textile sector, indicating the need for further research in other countries to enhance the general applicability of the findings.Practical implicationsThe insights provided can assist policymakers and industry leaders in understanding the key barriers hindering I4.0 adoption. This knowledge supports the development of sector-specific policies and strategies that promote I4.0 practices and facilitate smooth integration within the supply chain.Originality/valueThis research is among the first to employ the Decision-Making Trial and Evaluation Laboratory method framework to analyse the interrelations among barriers affecting I4.0 adoption in the Indian textile sector, offering valuable empirical insights.

Trends in employee performance: A comprehensive review and bibliometric analysis using Scopus and WOS

Orientation: Interest in understanding the factors that drive employee performance has increased. However, existing research on the effects of leadership styles and employee engagement lacks conclusive results.Research purpose: This study seeks to provide a holistic perspective of employee performance and examine the relationships between the types of leadership, employee engagement and employee performance.Motivation for the study: Despite the critical role of leadership and engagement in enhancing performance, existing literature remains fragmented. A more holistic synthesis is necessary to clarify how these factors interact.Research approach/design and method: This research conducted a systematic review and bibliometric analysis of 52 published articles sourced from Scopus and Web of Science. The study looked at the evolution of ideas and issues around leadership styles, employee engagement and performance, their challenges and drivers.Main findings: Research on performance, employee engagement and leadership has increased dramatically in the last 10 years. The findings of this study demonstrate that engaged management methods and strategic leadership philosophies such as transformational and servant leadership improve employee performance. Furthermore, new developments in cross-cultural dynamics, technological integration and sustainable leadership techniques highlight how organisational success is changing.Practical/managerial implications: This study emphasises how crucial it is to develop leadership styles that complement organisational strategy and culture. Although the characteristics of leaders frequently determine their leadership styles, organisations may influence these via focussed training. In a similar vein, improving organisational success requires fostering optimal employee engagement.Contribution/value-add: To the best of our knowledge, this study is the first bibliometric analysis focussing on the relationships between the three concepts, that is leadership sub-styles, employee engagement and employee performance, thus adding a new insight into organisational and management studies.

Integración de la tecnología en la formación docente: Tendencias y desafíos

The integration of Information and Communication Technologies (ICT) in teacher training has redefined contemporary educational paradigms, promoting the personalization of learning, access to diversified educational resources and the implementation of innovative student-centered methodologies. However, its implementation faces significant challenges, such as the digital divide, which limits equitable access to technologies in vulnerable contexts, and resistance to change on the part of some educators, associated with the lack of continuous training. This article analyzes trends and challenges in the integration of ICT in teacher education, through a systematic review of empirical and theoretical studies published between 2019 and 2024. The results show that, although ICTs are indispensable to respond to the demands of a globalized and technologically dynamic society, their success depends on three interconnected pillars: robust institutional policies, continuous teacher training and overcoming structural gaps. Common patterns, predominant tools and critical challenges that vary significantly among regions were identified, highlighting the need for scaled investment policies, mandatory certifications based on international standards and peer mentoring networks. In conclusion, technological integration in teacher training is not only a technical challenge, but an opportunity to reimagine education based on principles of equity, innovation and critical reflection.

Utilization of Smartphone Technology and Wearable Technology Following TKA.

The widespread adoption of smartphones and wearable technology has introduced innovative approaches in health care, particularly in postoperative rehabilitation. These technologies hold significant promise for improving recovery following lower extremity arthroplasty, especially total knee arthroplasty (TKA). Despite growing interest, the evidence on their effectiveness and long-term impact remains variable.This narrative review evaluates the utilization of smartphone applications, wearable devices, and their combined use in postoperative recovery after TKA. Key studies assessing adherence, functional outcomes, patient satisfaction, and health care utilization were analyzed to synthesize insights into their effectiveness compared to traditional rehabilitation approaches.Smartphone applications have demonstrated improvements in adherence to rehabilitation plans, pain management, and functional outcomes. For instance, interventions using text-based prompts or interactive platforms enhanced physical activity, reduced narcotic use, and improved patient-reported outcomes such as PROM adherence and range of motion (ROM). Similarly, wearable devices provided accurate feedback on activity levels and step counts, promoting early mobility and strength recovery. Combined approaches leveraging both technologies further enhanced adherence, functional recovery, and patient engagement while reducing health care utilization.The integration of smartphone and wearable technologies in TKA rehabilitation shows potential for improving recovery outcomes. While findings generally indicate noninferiority or superiority to conventional methods, limitations exist in standardization, data accuracy, and long-term benefits. Future research should focus on refining these technologies, establishing standardized guidelines, and evaluating their cost-effectiveness in diverse populations. Smartphone and wearable technologies represent safe and effective tools for enhancing postoperative outcomes in TKA patients. Their integration into clinical practice could optimize rehabilitation protocols, improve patient engagement, and potentially reduce health care costs.

Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis

Background: Brain tumor diagnosis requires precise and timely detection, which directly impacts treatment decisions and patient outcomes. The integration of deep learning technologies in medical diagnostics has improved the accuracy and efficiency of these processes, yet real-time processing remains a challenge due to the computational intensity of current models. This study introduces the Real-Time Object Detector for Medical Diagnostics (RTMDet), which aims to address these limitations by optimizing convolutional neural network (CNN) architectures for enhanced speed and accuracy. Methods: The RTMDet model incorporates novel depthwise convolutional blocks designed to reduce computational load while maintaining diagnostic precision. The effectiveness of the RTMDet was evaluated through extensive testing against traditional and modern CNN architectures using comprehensive medical imaging datasets, with a focus on real-time processing capabilities. Results: The RTMDet demonstrated superior performance in detecting brain tumors, achieving higher accuracy and speed compared to existing CNN models. The model’s efficiency was validated through its ability to process large datasets in real time without sacrificing the accuracy required for a reliable diagnosis. Conclusions: The RTMDet represents a significant advancement in the application of deep learning technologies to medical diagnostics. By optimizing the balance between computational efficiency and diagnostic precision, the RTMDet enhances the capabilities of medical imaging, potentially improving patient outcomes through faster and more accurate brain tumor detection. This model offers a promising solution for clinical settings where rapid and precise diagnostics are critical.

Understanding Provider's Experiences With Telehealth at an Urban Pediatric Health Care System.

The purpose of this three-part, mixed-methods study is to mitigate patient risk by understanding and describing the current and future state of pediatric telehealth (TH) care delivery. As the COVID-19 pandemic emerged, an unprepared clinical workforce mobilized to quickly transition patients to TH to mitigate the risk of infection and maintain access to care. Optimizing digital health care delivery requires an understanding of the current models of care, the identification of best practices, and opportunities for improvement to mitigate patient/family, provider, and institutional risk. Aim 1 used descriptive, qualitative inquiry to understand and explore the experience of cardiology providers utilizing TH through structured interviews. From the 6 providers interviews conducted, 6 themes emerged: the experience of TH Care Delivery, Conflicting Expectations of Parents/Patients vs. Providers, Regulatory, Ethical, and Legal Concerns, Knowledge Gaps, Data Burden, and Moral Distress. Hearing providers' voices and experiences can guide the integration of TH and digital technologies into health care. These findings describe the need to develop evidence describing the significance and inter-relatedness of TH and the concepts of psychological safety, the healthy work environment, and thriving.

Emerging trends in robotic breast surgery in the era of artificial intelligence

The advent of artificial intelligence (AI) heralds a new era in the field of robotic surgery. This article discusses recent trends in the integration of AI technology with robotic surgical procedures, highlighting the latest advancements in robotic breast surgery. The application of AI in robotic surgery ranges from preoperative planning to intraoperative assistance. Machine learning algorithms are now utilized to analyze medical imaging data, enabling surgeons to devise detailed surgical plans tailored to the unique characteristics of each patient’s tumor. This approach leads to more precise tumor excision and better preservation of healthy tissue. Robotic systems equipped with advanced visualization and sensor technologies can provide real-time feedback during surgery and training. Additionally, AI algorithms can predict the occurrence of postoperative complications, allowing for early intervention. With the ongoing development of AI and robotic technologies, significant progress has been made in robotic automation. The future of robotic breast surgery holds the promise of even greater accuracy, and the quality of life for breast cancer patients may be significantly improved.

Augmented reality as a tool for improving perception of authenticity of the built heritage site

PurposeThe present study focuses on analysing the impact of augmented reality (AR) on enhancing the perception of the “Authenticity of Heritage Sites” in an off-site condition. It also aims to assess participants’ satisfaction with a smartphone AR application experience of heritage sites.Design/methodology/approachThrough a literature review, the paper outlines the perception of spaces in light of digital technologies and the state of art of augmented reality (AR) applications. It then identifies criteria and indicators for assessing the “Perception of Authenticity of the Attraction Site” in AR experiences. The authors proceed with a practical implementation in two stages. The first stage involved digitally reconstructing the remains of the Sassanid Palace of Khosroes in Ctesiphon-Iraq, which dates back to the 3rd to 6th centuries AD. This reconstruction aimed to restore the lost parts of the building, and then design a proposed smartphone application for augmented reality of this heritage site. In the second stage, the application was tested through an off-site video presentation to a selected sample of participants, to simulate the application. Followed by data collection using a questionnaire.FindingsThe results revealed high percentages of positive indicators, indicating the effectiveness of augmented reality (AR) in enhancing the perception of authenticity of the heritage site. Furthermore, participants expressed positive satisfaction with the AR application simulation video and advocated for the integration of new technologies in heritage experiences.Research limitations/implicationsThe study used a video presentation to simulate the proposed augmented reality application. Although this experiment defines the research benefit in the condition of pre-visit to heritage sites, the importance of the study lies in presenting the public’s interaction with these applications in Iraq as an example for Middle Eastern countries. Consequently, it is relevant to studies interested in heritage in this region, and to those comparing the conditions and results of this study with other areas in the world. Additionally, it points at the necessity for heritage managers to focus on integrating modern interactive technology applications to enhance public engagement and understanding of heritage sites.Practical implicationsThe paper gave positive results regarding the use of augmented reality technology in heritage places and results regarding satisfaction with using the application.Social implicationsProviding the public’s interaction with these applications in Iraq as an example of the Middle East countries. Consequently, understanding the heritage and calling for preservation, it is related to studies concerned with heritage in this region, in addition, the need to focus on heritage managers on integrating modern interactive technology applications to enhance general participation.Originality/valueThe paper establishes its originality by addressing the limited use of augmented reality applications in Iraq, a country in the Middle East. It highlights the audience’s recognition and endorsement of these applications. The paper examines the role of this interactive technology in raising public awareness in the region about the significance of built heritage and enhancing understanding of its authenticity. Additionally, it underscores the importance of a neglected built heritage site: the Sassanid palace in Ctesiphon. The paper highlights its considerable global tourism potential if properly considered by relevant authorities.

A Strategic Data‐Driven Roadmap for Enhancing Energy Security in Taiwan Under Industry 5.0

ABSTRACTEnergy security performs a decisive position in the economic sustainability and societal development. As Taiwan attempts for sustainable expansion, decoupling for energy security is fundamental and requires advanced information technologies and infrastructure application, especially in connection to the Industry 5.0 era. However, the two concepts proxy manifest the multi‐dimensional nature with vast literature; there is an absence of a strategic roadmap for the implementation tactics. This study presents a systematic data‐driven analysis combining text mining, the fuzzy Delphi method, interpretive structural modelling, fuzzy decision‐making trial and evaluation laboratory, and analytic network process to outline a distinct energy security roadmap and unveil Industry 5.0 contributions. There are 22 valid indicators generated and allocated into five aspects. The causal interrelation model and strategic roadmap are obtained. The technological advancement and integration, environmental and climate actions, and public demand and perception are categorised as the causative aspects. The top causal indicators are indicated as climate change mitigation, cyber‐physical systems, energy investment, public perception, and supply–demand side technologies. This study enriches the theoretical literature and serves as a valuable practical locus to improve energy security in the Industry 5.0.

The “what” and “why” of fake news: an in-depth qualitative investigation of young consumers

Purpose During the postpandemic era, owing to the widespread integration of technology, a greater abundance of information is circulating among young consumers compared to any previous period. Consequently, there exists a possibility that the disseminated information may not be accurate and ultimately prove to be fake. The purpose of this study is to conceptualize fake news, the definition and drivers of fake news from the perspective of young consumers in the postpandemic period. Design/methodology/approach A qualitative study was undertaken in the current study. A total of 30 interviews were conducted utilizing semistructured questionnaires. The interviews were audio recorded and subsequently transcribed. The data was analyzed using the Gioia methodology. Findings The study proposes a definition of fake news from the perspective of young consumers. Further, drawing on attribution theory, the three categories of reasons for sharing fake news were delineated: content related, source related and user related. Practical implications Drawing on the findings of the study, policymakers and other stakeholders working on the issues of fake news can acquaint themselves with the underlying reasons. Furthermore, they can devise policies to prevent the sharing of fake news. Social implications It is important for practitioners and society to understand the reasons behind the sharing of fake news among young consumers to combat the spread. Originality/value The present study will contribute to the literature by understanding the perspective of young consumers who intentionally or unintentionally share fake news. Additionally, attribution theory is used in the context of fake news to understand the dissemination behavior.

Effective Educational Management Strategies: Enhancing Institutional Performance and Student Success

Educational management plays a critical role in shaping institutional performance and student success. This paper explores effective educational management strategies, including leadership styles, teacher professional development, curriculum innovation, and data-driven decision-making. By analyzing current research and case studies, we identify best practices that contribute to an efficient and student-centric learning environment. The findings suggest that collaborative leadership, continuous professional development, and technology integration significantly enhance institutional outcomes. The paper also highlights challenges in implementing these strategies and suggests ways to overcome them.

Pre-service Teachers’ Beliefs about the Role of Motivation in Language Learning

This study examines pre-service teachers’ beliefs about motivation in learning English as a foreign language. A mixed-method approach was used to collect data through surveys, interviews, visual narratives, and classroom observations at a public university in Ecuador. Findings reveal that both intrinsic and extrinsic motivation significantly impact the learning process. Intrinsic motivation, driven by personal interest and satisfaction, fosters student autonomy and engagement, encouraging students to take responsibility for their learning. On the other hand, extrinsic factors, such as career opportunities, academic success, and external recognition, reinforce commitment and perseverance. Additionally, pre-service teachers acknowledge their key role in stimulating motivation through interactive strategies, positive feedback, and technology integration. They also recognize the need to create an inclusive and supportive learning environment that fosters students’ confidence and reduces anxiety. This study highlights the importance of motivation in English language teaching and suggests that teacher education programs should provide effective tools to enhance motivation and engagement in the classroom.