Quality Of Service Research Articles

Bibliometric and Content Analysis of Articles on Artificial Intelligence in Healthcare

The use of artificial intelligence in the healthcare sector is becoming widespread for reasons such as analyzing digital patient data, including it in decision-making processes, improving the quality of healthcare services, and providing cost, time, and access advantages. This study aims to evaluate published articles on bibliometric indicators and the use of artificial intelligence in the healthcare sector and examine the content of the most cited articles. Articles about artificial intelligence in the health sector in the Web of Science database were included in the study using the criteria of “keyword, publication year, and publication language”. The research covers 2,680 articles published in English by 14,195 authors from 106 countries in 1084 journals between 2020-2024. 4,671 different keywords were used in the published articles. The country that published the most was “USA”, the journal was “Journal of Medical Internet Research”, the author was “Meng Ji”, and the most cited author was “Weihua Li”. The 55 most cited (≥50) articles focused on themes related to “diagnosis of COVID-19 disease”, “diagnosis of diseases”, “detection and classification of cancerous cells”, “identification of disease risk factors and disease prediction”, “prediction of treatment outcomes”, “prediction of disease course”, “personalized treatment recommendations”, “decision-making processes”, “ethical considerations, risks, and responsibilities”. With the COVID-19 pandemic, it is seen that the number of articles on artificial intelligence in the healthcare sector has increased exponentially. In the research, articles related to artificial intelligence in the health sector were examined, and a framework was created for researchers by revealing the most publishing countries, journals, authors, most cited authors, and keywords that were used the most.

A COMPARATIVE STUDY OF CONTINUING PROFESSIONAL DEVELOPMENT FOR SPEECH THERAPISTS AND TEACHERS IN ARMENIA AND BEYOND

The objective of this research project is to present a comprehensive examination of the disparities in continuous professional development (CPD) for speech therapists and teachers. The consequences for service quality and professional standards within these two critical disciplines will be the primary focus of the analysis. As mandated by the regulatory framework, teachers in Armenia, for example, must participate in continuing professional development (CPD) programs to maintain their professional qualifications. On the other hand, speech therapists are not subject to the same responsibilities, which causes significant differences between the two professions in terms of the development of skills and the ongoing of their education. This study compares the consequences of several continuing professional development requirements, shared professional practices, and relevant government laws. A critical analysis of the quantitative and qualitative pros and cons of mandating continuing professional development (CPD) for speech therapists is conducted. To support this review, empirical evidence has been gathered via interviews with important stakeholders and a comprehensive study of the present accessible knowledge. These findings highlight the urgent need for a more organized and coherent continuous professional development (CPD) framework particularly designed for speech therapists, that conforms with the professional development policies set for teachers, and that is more consistent. Additionally, this research offers specific recommendations that are designed to enhance legislative structures to increase the opportunities for continuing professional development (CPD) in both professions. The suggested projects are meant to improve the quality of services and professional knowledge in speech therapy as well as to guarantee that every professional working in Armenian educational and therapeutic environments satisfies high criteria of competence. The communities they serve will eventually gain from this. This will be achieved by fostering a culture of ongoing professional development.

Probability of Detection and Value Added Tax Compliance among Small and Medium Enterprises in Westlands Sub County, Nairobi, Kenya: Moderating Effect of Tax Service Quality

Purpose: Value-added tax compliance has remained a challenge, especially when it comes to SMEs operating in Kenya. The high level of informality of this sector provides an incentive for most of the SMEs to evade payment of VAT, a situation that has constrained the amount of tax revenues available to finance fiscal budget. This study aimed to determine the moderating role of tax service quality on the relationship between probability of detection and value added tax compliance among small and medium enterprises in Westlands Sub County, Nairobi, Kenya. Methodology: The study adopted an explanatory design targeting 751 SMEs operating in Westlands Sub- County, Nairobi, Kenya as registered by Nairobi City County. The sample frame was the list of SMEs in Westlands Sub- County that is available in Nairobi City County. The sample size was 261 owners of the said SMEs who were stratified into four categories based on the nature of undertaking of their business and a representative sample from each of these categories was drawn. Gathering of information was by use of a questionnaire. To analyze the collected information, descriptive statistics like means and standard deviations as well as multiple regression analysis was adopted. Results: Regression of coefficients showed that probability of detection had a positive and significant effect on VAT compliance of SMEs (β=0.358, p=0.000). The findings also revealed that tax service quality moderates the relationship between probability of detection and value added tax compliance among small and medium enterprises (β= 0.086, ρ<0.05). Conclusion: The study concluded that probability of detection had a positive and significant effect on VAT compliance of SMEs. In addition, the study concluded that tax service quality moderate the relationship between probability of detection, on value added tax compliance among small and medium enterprises in Westlands Sub County, Nairobi, Kenya. KRA should increase the rate probability of audit detection by coming up with new mechanisms of audit detection thus enhancing VAT compliance of VAT amongst the SMEs. The government should strive to provide SME owners in Westlands Sub County, Nairobi, with services that are of high standards for example at the tax stations as clearly stated in the corporate plan to reduce the need for spending costs to hire skilled persons such as tax consultants.

Exploring the drivers of experience intentions to co-create value among quarantine greenhouse customers

ABSTRACT Exactly how the quarantine greenhouse creates good quality service experiences has attracted the attention of scholars and practitioners. Some scholars advocate decreasing perceived threats to increase experience intentions to co-create value. However, recent research has not examined quarantine greenhouse service, and a detailed understanding of its potential effects on the customer meal experience and their experience intentions to co-create value is needed. Consequently, this study of the effects of perceived threats on experience intentions to co-create value through post coronavirus disease 2019 (COVID-19) protective behaviors and experience relationship outcomes constructed a comprehensive framework via a literature review. A survey was carried out with respondents who had dined at one quarantine greenhouse in Amsterdam, obtaining 482 valid samples which were analyzed with confirmatory factor analysis and structural equation modeling. The results of this study will also assist quarantine greenhouse management in developing and implementing market-oriented service strategies to decrease the dimensions of perceived threats, increase the dimensions of COVID-19 protective behaviors and experience relationship outcomes, and create experience intentions to co-create value. The theoretical and managerial implications of these results are discussed.

Pengaruh Perceived Value, Service Quality dan Brand Image Terhadap Minat Beli Tiket Pesawat pada PT Garuda Indonesia

This research was conducted to determine the influence of perceived value, service quality and brand image on the interest in buying air tickets at PT Garuda Indonesia. The population in this study is all customers who purchase Garuda Indonesia flight tickets in the city of Palembang in 2024. The sample used in this study was 100 respondents using the purposive sampling method. The results of multiple linear regression analysis show that perceived value, service quality and brand image have a positive and significant effect on buying interest. Perceived value, it is expected for PT Garuda Indonesia to be able to accelerate the duration of the process of refunding funds to consumers. Service quality, it is hoped that PT Garuda Indonesia will provide information to consumers if there is a change in information. Brand image, it is hoped that PT Garuda Indonesia can consider conducting events such as exhibitions which also need to be carried out in several cities in Indonesia.

Deep Artificial Immune System With Malicious Node Detection and Secure Routing Protocol in MANET

ABSTRACTIn the context of Mobile Ad Hoc Networks (MANETs), the dynamic and decentralized topology poses significant challenges like unreliable connectivity, limited bandwidth, node mobility, and vulnerability to security threats from malicious nodes. Ensuring secure and energy‐efficient data transmission in such environments is crucial for mission‐critical applications. This research addresses these pressing challenges by introducing a robust routing protocol capable of detecting and mitigating malicious nodes, thereby enhancing MANET's Quality of Service (QoS). The proposed approach, the Dendritic Cell with Adaptive Trust Q‐learning Protocol (dDC‐ATQP), integrates several innovative techniques to tackle these issues. Firstly, the trust evaluation mechanism assesses the behavior of nodes to identify potential malicious actors, mitigating the effect of malicious nodes on system execution. Secondly, the adaptive routing strategy optimizes data transmission paths based on real‐time network conditions, reducing latency and packet loss. To evaluate the effectiveness of this approach, extensive simulations are conducted using a range of performance metrics. The results demonstrate significant improvements over existing methods, including a throughput increase of (79.2% in 50 s), lower end‐to‐end‐delay (0.075 s for 20 nodes), energy consumption of (38.55/J), higher packet delivery ratio (98% for 20 nodes), reduced packet loss ratio (5% for 100 nodes), enhanced security (80% for 70 nodes).

Driving Individual Taxpayer Compliance: How Information Technology Elevates Tax Service Quality, Social Engagement and Education

This study investigates the factors influencing Individual Taxpayer Compliance in Indonesia, focusing on Tax Service Quality, Social Engagement and Education, and the moderating role of Information Technology. The findings reveal that Tax Service Quality does not significantly impact taxpayer compliance, suggesting that improvements in service quality alone may not suffice to enhance compliance levels. In contrast, Social Engagement and Education are significant factors that positively influence taxpayer compliance, indicating the effectiveness of educational initiatives and community involvement in fostering compliance behavior. Furthermore, information technology has been found to have no significant moderating effect on the relationship between tax service quality or social engagement, education, or taxpayer compliance. These results underscore the importance of prioritizing social engagement and educational strategies while recognizing that technology should be integrated as a complementary tool to improve compliance outcomes. A balanced approach combining these elements is essential for fostering a more compliant taxpayer environment in Indonesia.

A simulation-based optimization approach for the recharging scheduling problem of electric buses

This study proposes a simulation-based optimization approach to address the recharging scheduling problem of electric buses to minimize charging waiting time. Poor scheduling could lead to longer waiting times and potentially affect operation schedules regarding time and service quality. This study addresses a simulation-based optimization framework to evaluate various performance metrics during electric bus service, including waiting times, charging costs, and the utilization of charging piles. In this study, we propose a hybrid approach, simplified swarm optimization (SSO), which is an evolutionary algorithm with a backtracking (BT) mechanism and dynamic charging in a simulation framework. Based on the dynamic charging, SSO is used to determine the additional charging in terms of battery capacities, and a BT mechanism is employed to enhance algorithm efficiency and achieve breakthroughs in solution quality. A case study from Taiwan with 43 generated datasets was conducted in deterministic and stochastic situations to compare the effectiveness and efficiency among three charging rules (i.e., full charging rule, flexible charging rule, dynamic charging rule) and two algorithms (i.e., particle swarm optimization and SSO) The results indicate the superior performance in all scenarios by using a statistical test, which offers effective decision support for bus operators’ electric bus recharging scheduling.

Research on Service Quality Improvement of Franchised End Logistics Outlets Based on SERVQUAL

Abstract: As an effective solution to the "last mile" problem of logistics transportation, express terminal network has shown a rapid development trend in recent years. The franchise production is a main operation mode of the end express outlets. By fully mobilizing the enthusiasm of the franchise outlets, the service scope of express enterprises is effectively expanded. However, the problems of loose management and uneven service quality are prevalent in this kind of franchise outlets, which makes the express terminal service become one of the bottlenecks restricting the healthy development of the industry. Based on this, this paper improved the SERVQUAL model combined with the actual situation of the end express outlets of the franchise system, and designed the questionnaire based on it, sorted out and analyzed the survey data by using factor analysis and entropy weight method, and finally found out the shortcomings in the service process of the end express outlets according to the results, and put forward targeted solutions.

Robot intelligent perception and control

Abstract. In recent years, with the rapid development of robotics, intelligent perception and control has become the core research direction in the field of robotics. This technology plays a key role in many fields such as industrial automation, medical assistance, and autonomous driving, significantly improving production efficiency and service quality, and also promoting the intelligent processes of various industries. On the basis of an in-depth analysis of robot intelligent perception and control technology, this paper systematically reviews the development of visual and non-visual perception technology and discusses the application of multi-modal perception in complex environments. The latest development of motion control and force control technology is analyzed, and its importance in fine operation is expounded. The future development direction of robot intelligent perception and control technology is proposed, and the necessity of enhancing real-time robustness and system integration is emphasized, which provides theoretical support and technical reference for promoting the continuous innovation of robot intelligent perception and control technology.

Influence of service, innovation, integrity on taxpayer compliance with education as a moderating variable at the UPT PPD/Samsat Karimun Office

Purpose: This study analyzes the influence of service, innovation, and integrity on taxpayer compliance with education as a moderating variable in the UPT PPD/Samsat Karimun office. Methodology: This study used a quantitative and descriptive approach with a population of all 2-Wheeled Motor Vehicle Taxpayers, namely 64,003 people, to obtain a sample of 156 respondents. This study used primary data with data sources, distributing Google form questionnaires, and going directly to the field. The data analysis technique used is the partial least squares (PLS) approach, which is a structural equation model (Structural Equation Modeling or SEM) based on components or variants, SmartPLS 4.0. Results: Based on the results of this study, it can be concluded that 1) service quality has a significant positive effect on taxpayer compliance, with an original sample value (O) of 0.305 and T-statistic of 2.235. 2) Innovation does not have a significant effect on taxpayer compliance, with an original sample value (O) of 0.252 and T-statistic of 0.870. 3) Integrity has a significant positive effect on taxpayer compliance, with an original sample value (O) of 0.370 and T-statistic of 2.082. 4) Service does not have a significant effect on tax education, with an original sample (O) value of 0.043 and T-statistic of 0.197. 5) Innovation has a significant positive effect on tax education, with an original sample (O) value of 0.313 and T-statistic of 1.984. 6) Integrity does not have a significant effect on tax education, with an original sample (O) value of 0.529 and T-statistic of 1.916. 7) Service has a significant positive effect on taxpayer compliance through education, with an original sample (O) value of 0.308 and T-statistic of 2.091. 8) Innovation does not have a significant effect on taxpayer compliance through education, with an original sample (O) value of 0.059 and T-statistic of 0.367. 9) Integrity does not have a significant effect on taxpayer compliance through education, with an original sample (O) value of 0.100 and T-statistic of 0.510. 10) Education has a significant positive influence on taxpayer compliance, with an original sample value (O) of 0.419 and T-statistic of 1.976.

Exploring the Impact of Airport Services on Passenger Satisfaction in Tanzania: A Case Study of Julius Nyerere International Airport

Satisfying passengers at the airport has been the cornerstone for airlines and airports in air transport service. This study aimed to understand the effects of airline-related quality service dimensions on overall passenger satisfaction at airports. The study intended to analyse the effect of pre-flight, in-flight, and post-flight services on passenger satisfaction at the airport. Passengers begin to interact with air transport services when booking a ticket, and airline-related service dimensions are considered part of the broader concept of airport services, which should be integrated as they overlap in satisfying passengers at the airport. Previous research focused extensively on airport-related factors but overlooked the specific impacts of airline services on overall passenger satisfaction. The study was guided by Total airport experience framework considering holistic view of passenger satisfaction. The study used a descriptive research design which targeted all international passengers travelled through Julius Nyerere International Airport at the time of conducting this study. In this regard, the study included departing and arriving passengers from Terminal III at the final lounge and baggage claim area. The Webb et al (1996) guidelines were used to determine the sample size which suggests that for population above 2,000, a sample of 1% is appropriate; The population consisted of 18,000 passengers arriving and departing at Julius Nyerere international Airport during the time of conducting survey; thus 180 passenger were selected randomly ensuring that every passenger had an equal chance of being selected. Collection of data invloved questionnaires with close-ended and open-ended questions. Descriptive analysis of collected data was conducted to summarize the main variables through utilizing the Statistical Package for Social Science (SPSS) for data analysis to obtain percentages and frequencies. The findings indicated that several dimensions of airline-related service influence passenger satisfaction: pre-flight, in-flight, and post-flight dimensions. The findings revealed that these three dimensions positively affect passenger satisfaction. For instance, in pre-flight services, respondents reported satisfaction, highlighting the crucial role of effective management of pre-flight services in determining positive initial travel experiences. High satisfaction rates were also observed for in-flight services, emphasizing the importance of onboard amenities and crew responsiveness. However, post-flight services showed areas for improvement to enhance the overall passenger experience. Additionally, the results highlighted the strategic necessity for airlines and airports to prioritize service excellence across all touchpoints of the passenger journey. Enhancing service quality and responsiveness, particularly in mishap resolution and service delivery which are crucial for maintaining a competitive advantage and fostering customer loyalty. The study concluded that passenger satisfaction is highly influenced by three primary dimensions of airline related service: pre-flight, in-flight, and post-flight dimensions. The study recommends the Airline and airport operators to focus on improving service quality delivery across all touch points of passengers journey by implementing an integrated approach such as coordinated decision making.

Challenges in Underground Utility Tunnel Construction and Strategies for Intelligent Management

With the rapid advancement of urbanization, the importance of municipal infrastructure construction is increasingly highlighted. The municipal underground pipeline project, as a key link, aims to optimize the living environment and improve the quality of life services for the people. Given the continuous growth of urban population and the increasingly scarce land resources, the municipal comprehensive underground pipeline project effectively alleviates the pressure on urban land resources by efficiently utilizing underground space. However, the construction of such projects involves complex construction technologies, and scientific and reasonable intelligent management methods are needed to ensure project quality and construction efficiency. In view of this, the author discusses the challenges faced in municipal underground pipeline construction and the intelligent management strategies through participation in the design and construction of several pipeline projects.

Sistem Layanan Metrologi Legal Terpusat Berbasis Web

The development of information technology, especially in data management, can have a significant impact on improving efficiency and effectiveness in legal metrology services. Technological transformation not only changes how information is obtained but also fundamentally alters service systems for the public. A centralized web-based Legal Metrology Service System is being developed to streamline administrative data management and enhance services for individuals applying for metrological calibration and re-verification. Therefore, this system is designed using the waterfall method, ensuring each development stage, from needs analysis to implementation and maintenance, is conducted in a structured and systematic manner. The primary objective of this research is to improve the quality of calibration and re-verification services in Legal Metrology at the Office of Trade and Industry in Jombang Regency. With this system in place, it is expected that administrative processes and data management in legal metrology will operate more effectively and efficiently, thereby delivering better services to the public.

EFEKTIVITAS PROGRAM JAMINAN KESEHATAN NASIONAL (JKN) BPJS KESEHATAN DALAM MENINGKATKAN KUNJUNGAN PASIEN DAN PELAYANAN KESEHATAN DI KLINIK MATA PANDAAN

This study aims to analyze the effectiveness of the National Health Insurance (JKN) BPJS Kesehatan program in increasing patient visits and health services at Pandan Eye Clinic. The research method used is quantitative with a descriptive and analytical approach. Data was collected through documentation studies, interviews, and observations. The results of the study show that the JKN BPJS Kesehatan program has increased patient visits and the types of health services at Pandaan Eye Clinic. JKN BPJS Kesehatan patients are also satisfied with the health services they receive. In conclusion, the JKN BPJS Kesehatan program has been proven effective in increasing access to and quality of health services at Pandan Eye Clinic.

Principal Supervision in Improving the Quality of Learning Administration Services at the State Islamic Elementary School

This study focuses on the role of managerial supervision in enhancing learning administration services at MIN 03 Kepahiang. It adopts a descriptive research method with a qualitative approach. The research participants included the school principal, the curriculum deputy principal, and the administration head. Data were collected through observation, interviews, and documentation and were analyzed through data reduction (summarizing), data presentation (organizing information), and concluding (formulating a comprehensive description). The findings reveal that the principal and head of administration at MIN 03 Kepahiang have successfully implemented managerial supervision to improve learning administration services, which covers program planning, organizing, implementation, and evaluation. The supervision by the school principal has been carried out effectively, resulting in enhanced administrative services and overall education quality. Through structured supervision programs, supervisors have assessed, monitored, and developed the performance of learning administration services at MIN 03 Kepahiang.

The Role of Technology and Automation in Streamlining Business Processes and Productivity for SMEs

Purpose: This research investigates the vital role of automation in enhancing business process efficiency and overall productivity within SMEs. It also discusses how technology can help overcome bottlenecks arising from human operation, resource limitation, and operational inefficiency, which have commonly been experienced by SMEs. Materials and Methods: The study combines an extensive review of existing literature with case studies from various industries to evaluate the effects of automation tools on SME operations. These tools range from cloud-based solutions to AI-powered systems, providing insights into their impact across different business processes. Findings: Research has shown that automation improves productivity in SMEs by up to 30%, reduces manual errors by 25%, and enhances data accuracy by improving employee focus on strategic tasks. In addition, the standardization of processes through automation ensures less variability in output. Automation also impacts customer experience positively by ensuring speed in service delivery and quality improvement in products. High upfront costs, however, combined with a shortage in skilled personnel and integrating new technologies with existing systems, remain barriers to wider adoption by SMEs. Implications to Theory, Practice and Policy: Accordingly, the study recommends that the following measures be taken to counteract the problems posed: phase in automation, cooperate with technology providers who will devise cost-effective solutions, and invest in comprehensive training programs to fill the skills gap. Government incentives, such as tax breaks and subsidies, could also push SMEs toward broader automation. Thereafter, successful integration of automation will enhance the competitiveness of SMEs and create a sustainable growth path in the digital economy.

Outcome Measures in intellectual disability: A Review and narrative synthesis of validated instruments.

Outcome measurement is essential to determine the effectiveness of health interventions and improve the quality of services. The interplay of social, individual, and biological factors makes this a complex process in the psychiatry of people with intellectual disability (PwID). Review of outcome measures which are validated in PwID. A PRISMA-guided review was conducted, using a predefined criteria and a relevant word combination on four databases: EMBASE, Medline, CINAHL and PsycINFO. Each included study was examined for relevance to intellectual disability psychiatry. The psychometric data of each tool was critically assessed. Findings were narratively synthesised. Of 1,548 articles, 35 met the inclusion criteria. Several outcome measures were identified relevant to intellectual disability psychiatry, including tools for challenging/offending behavior, specific neurodevelopmental/clinical conditions such as ADHD, epilepsy, and dementia however, psychometric properties, validity and reliability varied considerably. The tools identified were largely clinician rated, with a dearth of measures suitable for completion by patients or their family carers. Most outcome measures used for PwID lack suitable psychometric properties including validity or reliability for use within the ID population. Of importance, those with alternative expression or are non-verbal have been excluded from the research developing and reporting on measurement instruments. There is an underserved population who risk being left behind in the era of value-based medicine and increasing use of outcome measurement when assessing the effectiveness of healthcare interventions on individual and population levels. This is the first of its kind review in this area.

Application Status and Future Prospects of Traditional Chinese Medicine Nursing Technology

In recent years, the nursing technology of traditional Chinese medicine (TCM) has developed rapidly in the country. TCM nursing technology mainly refers to the application of TCM therapy in clinical nursing practice, such as acupoint massage, cupping, ear point pressure beans, scraping, wet compress of traditional Chinese medicine, etc. Its application can not only effectively reduce the pain of patients, but also can promote the treatment effect, help patients recover early, but also help to further improve the quality of service of nursing staff. In clinical nursing practice, however, the application of TCM nursing technology still has some problems, such as the theory of traditional Chinese medicine nursing quality to promote, “Internet + TCM nursing” is still in the exploratory stage, etc. This article mainly discusses the application status and existing problems of Chinese medicine nursing technique, coping strategies and its future prospects for related analysis and research, hope to be able to improve the quality of TCM nursing technology application in China to provide some reference and reference.

Efficient Schemes for Optimizing Load Balancing and Communication Cost in Edge Computing Networks

Edge computing architectures promise increased quality of service with low communication delays by bringing cloud services closer to the end-users, at the distributed edge servers of the network edge. Hosting server capabilities at access nodes, thereby yielding edge service nodes, offers service proximity to users and provides QoS guarantees. However, the placement of edge servers should match the level of demand for computing resources and the location of user load. Thus, it is necessary to devise schemes that select the most appropriate access nodes to host computing services and associate every remaining access node with the most proper service node to ensure optimal service delivery. In this paper, we formulate this problem as an optimization problem with a bi-objective function that aims at both communication cost minimization and load balance optimization. We propose schemes that tackle this problem and compare their performance against previously proposed heuristics that have been also adapted to target both optimization goals. We study how these algorithms behave in lattice and random grid network topologies with uniform and non-uniform workloads. The results validate the efficiency of our proposed schemes in addition to the significantly lower execution times compared to the other heuristics.