Level Of Service Quality Research Articles

Assessing Service Quality and Passenger Satisfaction: A Quantitative Study of Sea Transportation on the Padang Mentawai

Sea transportation is a vital component of the transportation network, with the Ship Sabuk Nusantara 68 serving as a key sea transport vessel under the Indonesian National Shipping Limited Liability Company (PT) (PELNI). Operating between Padang City and Mentawai Island, this passenger ship plays a crucial role in connecting these destinations. However, despite its importance, complaints regarding the quality of sea transportation services, particularly on the KMP Sabuk Nusantara 68 route between Padang and Mentawai, have been voiced by passengers.In response to these concerns, this research was conducted to assess the levels of service quality and passenger satisfaction. The study aimed to identify priority factors for enhancing service performance and passenger satisfaction. Employing a quantitative method, researchers utilized questionnaires as research instruments, with data analyzed using the Likert scale and the Important and Performance Analysis (IPA) methodology.The findings revealed that overall service quality was satisfactory, with passenger satisfaction levels reaching 89.12%. However, further improvements are still needed, particularly in areas such as ship cleanliness, which emerged as a critical aspect requiring immediate enhancement. Therefore, while passengers are generally content with the services provided, there is still room for improvement to ensure a consistently high level of service performance and passenger satisfaction.

From Service Quality to Brand Loyalty: The Mediating Effect of Student Satisfaction in Public Sector Universities

Consumers and brands are crucial concepts and compelling research areas in brand management. A decade ago, researchers have noted that the brand equity’s concept is less explored in the education sector. Education system is too vital industries that are playing a major role in the society and growth of nation, thus highlighting its importance. Corporate industries prioritize customer satisfaction and loyalty, and some studies suggest that students should be considered customers. Consequently, universities need to enhance their understanding of brand equity-related concepts such as brand strength, brand image, and service quality. Providing high levels of service quality and cultivating a strong brand image leads to loyal customers. This study examines the mediating effect of student satisfaction on the relationships between brand strength, brand image, service quality, and loyalty. Using convenience sampling, we distributed 600 questionnaires to respondents from public sector universities in Pakistan. Service quality is identified as a multidimensional construct comprising interactional quality, outcome quality, and physical environment quality. These types are positively and significantly related to student loyalty. The study reveals that brand image and service quality show full mediation, while brand strength shows partial mediation. The results indicate that universities with a better understanding of their students, and those that share their plans and information effectively have more satisfied students. The findings regarding brand image suggest that universities should have a clear and definite vision to satisfy their students. Additionally, satisfied students feel honored to study at these institutions. Regarding service quality, the study suggests that universities with courteous, sympathetic, reassuring, and job-oriented administrative staff have more satisfied students. The perceived quality of the environment indicates that poor physical layouts, inadequate computer lab equipment, and insufficient campus facilities lead to student dissatisfaction. Furthermore, the results provide insights that can help university administrations develop strategies to enhance student satisfaction and retention. Current research paper contributes to the knowing of how universities can build and maintain brand loyalty by paying attention on mediating role of student’s satisfaction.

Evaluating Competitiveness of Container Shipping Operators in the Sustainability and Digitalization Era

This study aims to comprehensively analyze the operational status and international competitiveness of global container shipping enterprises in the era of sustainability and digitalization within the field of international container transportation. Utilizing the entropy method, this study quantitatively evaluates the direct operational strength of 14 leading container shipping enterprises while considering multiple factors including environmental protection, service quality, company scale, customer satisfaction, research and development level, and brand influence. The contributions of this study to the existing knowledge are primarily manifested in several aspects: firstly, by constructing a comprehensive evaluation framework, it offers a new perspective for assessing the international competitiveness of container shipping enterprises, facilitating a more comprehensive understanding of their strengths and weaknesses. Secondly, this study emphasizes the crucial roles of environmental protection and customer service in the competitiveness of shipping enterprises, providing new strategic directions for the industry’s sustainable development and digital transformation. Lastly, through detailed analysis of the operational performance of different companies, this study provides specific improvement suggestions for shipping enterprises, aiding them in achieving more precise management and more efficient development. The research findings demonstrate that companies exhibit varied performance in different aspects, showcasing their respective strengths and challenges. Particularly, this study identifies leading enterprises that have made significant progress in environmental technology innovation and customer service, while also highlighting deficiencies in some companies regarding scale expansion and brand building. These findings not only offer valuable insights for the development of the shipping industry but also serve as a window for policymakers, investors, and consumers to gain a deeper understanding of the shipping market. Through the thorough analysis conducted in this study, we aim to contribute to the sustainable development and digital transformation of the global container shipping industry.

The Role of Omnichannel and Service Quality to Get the Best Customer Experience for Increasing Sales in The Retail Industry

The rapid development of technologies finally effects revolutionary to our daily activities especially in retail industry. This research was conducted to determine the effect of covid19 and the development of digital technology on customer behavior and how to shop. In this study there are four variables, namely Omnichannel (X1), Service Quality (X2), Customer Experience (Y1) and Sales Level (Y2). The population in this study were consumers who had bought in the retail industry with a sample of 150 respondents selected using purposive sampling method. Collecting data in this study by giving questionnaires to respondents. While in terms of data analysis, this study uses the path analysis method with the help of SPSS version 26 and smart-PLS. The results showed that: 1) OmniChannel has a positive and significant effect on Customer Experience, 2) Service Quality has a positive and significant effect on Customer Experience, 3) OmniChannel has a positive and significant effect on sales levels, 4) Service Quality has a positive and significant effect on sales levels, 5) Customer Experience has a positive and significant effect on Sales Level, 6) OmniChannel has a positive and significant effect on Sales Level through Customer Experience, 7) Service Quality has a positive and significant effect on Sales Level through Customer Experience. From this research, it is hoped that we can see how companies can increase their sales by maximizing customer experience through the use of Omnichannel strategies and service quality.

ANALISIS KUALITAS LAYANAN TERHADAP TINGKAT KEPUASAN PENGGUNA INDRIVE DI KOTA PALEMBANG

User satisfaction will encourage them to use InDrive services, the results of the exploration with users reveal several problems such as server down and the application map display is not as intended to cause customer dissatisfaction with InDrive services. From this, it is hoped that this research will be a solution to the problem. To analyze the InDrive application, two kinds of methods are used, the ServQual and EUCS methods. The total number of respondents distributed was 100 people. The results of the analysis of the service quality level of the InDrive application in Palembang are Positive (+), with the results of the gap test between user perceptions and user expectations as a whole showing a value of 1.310, indicating that the InDrive application in Palembang has met user expectations. In the EUCS method, the results of the analysis of the Content Variable 4.08, Accuracy 4, Format 4.04, Ease of Use 3.96, and Timeliness 3.99 obtained the results of the analysis at the "Satisfied" satisfaction level. In hypothesis testing h0 and h1, h0 is concluded to have no effect on user satisfaction and h1 is concluded to have no effect on service quality.

Quality of service of accommodation establishments as a factor in tourism competitiveness

This study examines the quality of service provided by accommodation establishments as a factor in tourism’s competitiveness. The new application of the concept of quality is determined by the customer's perception, interests, and expectations, and quality is a competitive factor that will lead to full customer satisfaction. The purpose of the study was to determine the service quality of lodging establishments based on guests' perceptions of tangible elements such as reliability, responsiveness, safety, and empathy as factors of tourism competitiveness in northern Peru. The study had a quantitative approach with a descriptive, non-experimental, cross-sectional design. A non-probabilistic convenience and intentional sampling method was chosen, in which 14 lodging establishments participated. The modified SERVPERF service quality measurement scale was used. The tangible element dimension is perceived from the establishment's facilities and the staff's appearance. Reliability with the promise of service at the established time and the predisposition to solve problems. Responsiveness is perceived in terms of speed of service and the ability to respond to customer needs. Security is perceived in terms of trust, discretion, and respect for guests' privacy, as well as in the transactions they carry out. Finally, empathy in the personalization of service and friendliness. The results show positive perceptions in the five dimensions of the SERVPERF model, concluding that the level of service quality is regular in lodging establishments based on the guest's perception. An important fact to consider is that between 20% and 30% of the respondents' answers are neutral, showing aspects to be improved, such as the use of attractive materials, personalized attention, and guest satisfaction.

Influence of Service Quality on Customer Loyalty in Luxury Hotel Chains in Tanzania

Purpose: The aim of the study was to assess the influence of service quality on customer loyalty in luxury hotel chains in Tanzania. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study indicated a strong correlation between the two factors. High service quality consistently leads to increased customer loyalty within this segment of the hospitality industry. Studies have revealed that luxury hotel guests place significant emphasis on personalized service, attention to detail, and exceptional experiences. When these expectations are consistently met or exceeded, guests are more likely to exhibit loyalty behaviors, such as repeat visits, positive word-of-mouth recommendations, and a willingness to pay premium prices. Additionally, service quality has been found to play a crucial role in shaping guests' perceptions of value and satisfaction, which further contributes to their loyalty. Consequently, luxury hotel chains that prioritize and maintain high levels of service quality are better positioned to foster long-term relationships with their clientele and achieve sustainable competitive advantage in the market. Implications to Theory, Practice and Policy: Expectancy-disconfirmation theory, service profit chain theory and relationship marketing theory may be used to anchor future studies on assessing influence of service quality on customer loyalty in luxury hotel chains in Tanzania. Practitioners in luxury hotel chains can leverage the empirical findings to inform strategic decision-making and enhance service delivery. Policymakers and industry stakeholders can utilize the empirical evidence to advocate for policies that support service quality enhancement initiatives within luxury hotel chains.

A Performance Analysis of Security Protocols for Distributed Measurement Systems Based on Internet of Things with Constrained Hardware and Open Source Infrastructures.

The widespread adoption of Internet of Things (IoT) devices in home, industrial, and business environments has made available the deployment of innovative distributed measurement systems (DMS). This paper takes into account constrained hardware and a security-oriented virtual local area network (VLAN) approach that utilizes local message queuing telemetry transport (MQTT) brokers, transport layer security (TLS) tunnels for local sensor data, and secure socket layer (SSL) tunnels to transmit TLS-encrypted data to a cloud-based central broker. On the other hand, the recent literature has shown a correlated exponential increase in cyber attacks, mainly devoted to destroying critical infrastructure and creating hazards or retrieving sensitive data about individuals, industrial or business companies, and many other entities. Much progress has been made to develop security protocols and guarantee quality of service (QoS), but they are prone to reducing the network throughput. From a measurement science perspective, lower throughput can lead to a reduced frequency with which the phenomena can be observed, generating, again, misevaluation. This paper does not give a new approach to protect measurement data but tests the network performance of the typically used ones that can run on constrained hardware. This is a more general scenario typical for IoT-based DMS. The proposal takes into account a security-oriented VLAN approach for hardware-constrained solutions. Since it is a worst-case scenario, this permits the generalization of the achieved results. In particular, in the paper, all OpenSSL cipher suites are considered for compatibility with the Mosquitto server. The most used key metrics are evaluated for each cipher suite and QoS level, such as the total ratio, total runtime, average runtime, message time, average bandwidth, and total bandwidth. Numerical and experimental results confirm the proposal's effectiveness in foreseeing the minimum network throughput concerning the selected QoS and security. Operating systems yield diverse performance metric values based on various configurations. The primary objective is identifying algorithms to ensure suitable data transmission and encryption ratios. Another aim is to explore algorithms that ensure wider compatibility with existing infrastructures supporting MQTT technology, facilitating secure connections for geographically dispersed DMS IoT networks, particularly in challenging environments like suburban or rural areas. Additionally, leveraging open firmware on constrained devices compatible with various MQTT protocols enables the customization of the software components, a crucial necessity for DMS.

Energy Management for Fault-tolerant (m,k)-constrained Real-time Systems That Use Standby-Sparing

Fault tolerance, energy management, and quality of service (QoS) are essential aspects for the design of real-time embedded systems. In this work, we focus on exploring methods that can simultaneously address the above three critical issues under standby-sparing. The standby-sparing mechanism adopts a dual-processor architecture in which each processor plays the role of the backup for the other one dynamically. In this way, it can provide fault tolerance subject to both permanent and transient faults. Due to its duplicate executions of the real-time jobs/tasks, the energy consumption of a standby-sparing system could be quite high. With the purpose of reducing energy under standby-sparing, we proposed three novel scheduling schemes: The first one is for (1, 1)-constrained tasks, and the second one and the third one (which can be combined into an integrated approach to maximize the overall energy reduction) are for general ( m,k )-constrained tasks that require that among any k consecutive jobs of a task no more than ( k - m ) out of them could miss their deadlines. Through extensive evaluations and performance analysis, our results demonstrate that compared with the existing research, the proposed techniques can reduce energy by up to 11% for (1, 1)-constrained tasks and 25% for general ( m,k )-constrained tasks while assuring ( m,k )-constraints and fault tolerance as well as providing better user perceived QoS levels under standby-sparing.

PENGUKURAN DAN PERENCANAAN PERBAIKAN KUALITAS PELAYANAN JASA RENTAL DALAM UPAYA MENINGKATKAN KEPUASAN KONSUMEN

The availability of a comprehensive and varied range of rental equipment constitutes a strength for the company, however, aspects of customer satisfaction may be influenced by certain factors that have not been implemented optimally. Additionally, rental service companies in Garut have yet to conduct a study on the measurement of the level of service quality provided. The purpose of this research is to measure the level of service quality, map the current service positions provided by the service provider, and determine priority quality attributes to formulate improvement plans to enhance customer satisfaction. The approach used is quantitative descriptive, utilizing service quality dimensions proposed by Grönroos as a reference for organizing quality attributes. The research method consists of three stages: first, the Servqual method is used to determine the gap between expected and perceived services; the ZoT method is employed to map quality attributes, providing an overview of the measured quality attribute positions within tolerance limits; and the AHP method is utilized to prioritize attributes for recommended improvements. The research findings indicate overall satisfaction with the measured service quality. However, four quality attributes have negative gaps and fall outside tolerance limits, indicating suboptimal service. Meanwhile, the largest-weighted quality attributes are prioritized in formulating improvement plans, with the “penyedia jasa cekatan (Tangkas) dalam memberikan solusi ketika terjadi yang tidak diharapkan” (C4.3) being the top priority. The analysis of prioritized quality attributes results in the development of a guide or procedure to facilitate the company in addressing customer complaints.

Effect of Service Quality on Customer Satisfaction: The Case of Ethiopian Electric Utility in South Western Region.

This study aimed to evaluate the impact of service quality on customer satisfaction in selected customer service centers within the southwestern region's electric utility sector. A combination of descriptive and explanatory research designs utilizing both qualitative and quantitative methodologies was employed. The study's population consisted of 37,258 customers across four customer service centers, with a sample size of 396 respondents, of which 389 completed and returned the questionnaires. A multistage sampling technique was utilized for sample selection, and data collection was performed through interviews and questionnaires. The collected data was analyzed using SPSS 25, employing descriptive and inferential statistical analyses, including frequency, percentage, mean calculations, Pearson correlations, and multiple linear regressions to ascertain the causal relationship between service quality and customer satisfaction. The study's findings revealed that responsiveness was the service quality dimension exerting the most significant influence on customer satisfaction. Additionally, all service quality coefficients associated with customer satisfaction demonstrated positive and statistically significant correlations. Therefore, enhancing responsiveness and continuous improvement initiatives are critical factors to enhance overall customer satisfaction levels. Furthermore, the study determined that all five service quality dimensions (Tangibility, Reliability, Responsiveness, Assurance, and Empathy) positively and significantly influenced customer satisfaction. Consequently, it is recommended that managers and employees within the Ethiopian Electric Utility should actively collaborate to enhance service quality levels, consequently elevating customer satisfaction levels.

Design of an Iterative Method for Dynamic Resource Management in 5G Networks with IoT Integration Operations

In the realm of fifth-generation (5G) wireless networks, the escalating demands for high-speed, reliable, and efficient communication are paramount, especially with the widespread deployment of Internet of Things (IoT) devices & scenarios. Despite the advancements in 5G technologies, existing network management strategies often fall short in addressing the dynamic nature of network conditions, the heterogeneity of IoT device requirements, and the need for stringent privacy measures. These limitations underscore the necessity for innovative approaches that can adapt in real-time to varying demands while ensuring optimal network performance and user privacy. This paper introduces a suite of machine learning models designed to enhance the efficiency and reliability of 5G networks, catering specifically to the diverse needs of IoT applications. At the forefront, DynamicSlicerNet, a deep reinforcement learning-based model, dynamically slices 5G network resources tailored to IoT devices' requirements, addressing device mobility, application demands, and network congestion. This model demonstrates a substantial reduction in latency by up to 30% and improvement in reliability by up to 20%, outperforming static resource allocation methods. Further enhancing edge computing capabilities, FedEdgeAI leverages federated learning to train models directly on edge devices, a move that not only slashes latency by minimizing data transmission to centralized servers but also fortifies data privacy. Experimental evaluations highlight FedEdgeAI's efficacy in maintaining model accuracy while halving communication overhead. PredictiveNetCare, employing time-series analysis and anomaly detection, anticipates network failures, facilitating preemptive maintenance strategies. This predictive approach has shown a marked precision over 90% in identifying potential disruptions, significantly reducing maintenance-related downtime by 30% and bolstering network reliability by 15%. OptiAllocRL and AdaptiveQoSDL, both harnessing reinforcement and deep learning techniques, respectively, optimize resource allocation and manage Quality of Service (QoS) parameters adaptively. OptiAllocRL's strategy results in a 40% latency reduction and a 25% throughput increase, while AdaptiveQoSDL minimizes packet loss by up to 50% and enhances end-to-end delay by up to 35%, ensuring high QoS levels under fluctuating network conditions. This comprehensive approach sets a new benchmark for future 5G network management, paving the way for a more connected, efficient, and secure digital world.

ANALISIS KEPUASAN PETANI PADI PENGGUNA LAYANAN JASA ALAT MESIN PERTANIAN DI KABUPATEN BANYUWANGI

The study aims to measure the quality of service performance and measure the level of farmer satisfaction with UPJA Tani Makmur services. The sampling technique used is purposive sampling as many as 34 farmers have used UPJA services more than twice. The variables used in the study are five dimensions of service where each dimension has four variable attributes that will be assessed using a Likert scale based on the level of importance and performance level. The analytical tool used to determine the level of service quality of UPJA Tani Makmur is Important Performance Analysis (IPA) with the help of a Cartesian diagram. To determine the level of farmer satisfaction using the Customer Satisfaction Index (CSI). The results showed that the attribute of giving bonuses or gifts (A18) had the lowest level of conformity and there were three attributes that entered quadrant I (Main priority). The value of the level of farmer satisfaction with UPJA Tani Makmur services in general gets a value of 79.90 where the value is in the "Very Satisfied" criteria.

A Study on Perceived Service Quality of Customers in Commercial Bank

In the present scenario, "Customer is the king" and the participation and satisfaction of customers plays a vital role in the banking sector. Customer's expectation, customer satisfaction and service quality are interrelated. In order to meet the customer's expectation and to satisfy the customers, banks will have to improve their service provided to the customers. In the light of the present study bails at evaluating the level of service quality is in commercial Banks in Thrissur district. The study also attempts to ascertain the dimensions of service quality in Banks. Service quality measure is based on modified version of SERVQUAL as proposed by Parasuraman et al. (1988), which involve five dimensions of Service quality, namely Reliability, Responsiveness, Empathy, Assurance, and Tangibles.With respect to customer services there are notable perceived differences. Hence this study on customer service quality of commercial banks looks for bringing out the differences between perceptions of customers of these banks. This study is descriptive and analytical in nature. The collected data is analyzed by obtaining the mean scores of the various servqual dimensions both for expectations and perceptions. Such mean scores are compared with each other to find the gaps between expectations and perceptions. The service quality gaps of customers of various types of banks are compared.Further these gaps are cross tabulated with the profile of consumers. The research proves that empathy and responsiveness plays the most important role followed by tangibility, assurance, and finally the bank reliability. The present study reveals that Reliability and Tangibility as dimensions of service quality provides its main influence to the customers. The customers also feel that bank to be reliable and dependable. But both the parameters Reliability and Empathy show a lower level of satisfaction to customers..

Explaining drivers of farmers’ willingness for early adoption of enhanced irrigation technologies: case of Tunisia

The objective of this paper is to identify the influencing factors of farmers’ willingness for early adoption of enhanced irrigation technologies in Tunisia. We estimate a multinomial logit model with data from 931 farmers in Central (Chebika) and Northern (Fernana) of Tunisia. Regression results reveal that early adoption is positively influenced by levels of extension service quality, trust in farmers’ associations and extension agents, farmer’s perception towards the innovation, credit access, and off-farm income. However, it is negatively affected by market access issues, risk aversion, and age. Risk, trust, and perception towards technology are important factors in driving early adoption decision. The findings imply that farmers training on water conservation technologies, financial support for innovation adoption, awareness of young farmers about the opportunities of agricultural innovation, incentives to farmers’ associations in order to improve their market access, and inclusive participatory approaches during technology generation and transfer are all accelerators of early adoption speed of innovations by farmers.

Reliability analysis in distribution system by deep belief neural network

Rapid increase in the usage of intermittent renewable energy, ongoing changes in electrical power system structure and operational needs posing growing problems while ensuring adequate service reliability and retaining the quality of power. Power system reliability is a pertinent factor to consider while planning, designing, and operating distribution systems. utilities are obligated to offer their customers uninterrupted electrical service at the least cost while maintaining a satisfactory level of service quality. The important metrics for gauging the effect of distributed renewable energy on distribution networks is reliability analysis. Reliability analysis in distribution systems involves evaluating the performance and robustness of electrical distribution networks. An artificial intelligence approach is implemented in this paper to improve reliability analysis with dispersed generations in distribution network. Deep belief neural networks (DBNNs) are a type of artificial neural network that can be used for various tasks, including analyzing complex data such as those found in power distribution systems. This paper integrated a DBNN using a particle swarm optimization (PSO) technique. The proposed model performance is assessed using mean square error, mean absolute error, root mean square error, and R squared error. The findings reveal that reliability analysis with this novel technique is more accurate.

ANALYSIS ON OPERATION AND MANAGEMENT STRATEGY OF SMART UNIVERSITY GYMNASIUM IN CHINA

Introduction. With the continuous development of science and technology and the progress of society, the operation and management of smart sports venues has become an important topic in the new era. Smart sports stadium operation and management uses advanced technical means and management concepts, improve the operational efficiency and user experience of the stadium, to achieve sustainable development. Purpose. This paper will discuss the background and importance of the operation and management of smart sports venues, introduce the concept and characteristics of smart sports venues, put forward corresponding operation and management strategies, and analyze the challenges faced and solutions. Through in-depth research on the operation and management of smart sports venues, it can provide useful reference and guidance for the development of China's sports industry. Methods. Nowadays, the technical difficulties of mass sports are becoming more and more difficult, and the requirements for the quality level of sports services are becoming higher and higher, but the traditional sports infrastructure is difficult to provide the public with scientific and accurate technical guidance and high-quality sports services. Results. This leads to a certain contradiction between supply and demand in China's sports industry market, which restricts the development of mass sports. Such as table tennis, badminton, basketball, football and running are widely loved by the masses of sports, in fact, have higher technical requirements, if the technology is not in place, the action is not standard, not standard, it will not only affect the masses of sports exercise effect, but also may cause sports safety accidents. Conclusion. Through the construction of smart sports venues and the information upgrade of traditional sports infrastructure, it can accurately collect the relevant data information of public fitness, such as sports items, sports consumption, exercise time, and even the health indicators of people in the process of exercise. These data information can be shared by non-governmental sports organizations, sports enterprises, local sports departments and medical and health units through networking.

Simulation of Transfer Probability in the City Route Network: Case Study of Lviv, Ukraine

The correct organization of transfers in the public transport system allows to reduce the congestion of the route network while maintaining a sufficient level of service quality for users of transport services. When modelling the probability of transfer, it is advisable to separate the probability of a public transport user choosing a trip with a transfer and the probability of making a transfer at a certain stop of the public transport system. The first probability largely depends on the socio-economic characteristics of the passenger and the time parameters of the trip. The probability of transfer at a certain stop is affected by the information provision of the stop and the number of routes. The general configuration of the route network determines the "basic need for a transfer in the network" - the ratio of the number of pairs of transport zones between which there is no direct public transport route to the total number of pairs of transport zones. The simulation carried out in the PTV Visum software environment for Lviv city made it possible to assess the impact of the tariff system on the change in the number of transfers and to determine critical stops and routes of the network. The inclusion of data on the structure of the city's population in the model makes it possible to use mathematical functions of the probability of transfer on the socio-economic characteristics of the passenger (age, gender, income level) when calculating the forecast number of transfers on the network.

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

We consider a decentralized multi-player multi-armed bandit (MP-MAB) problem where players cannot observe the actions and rewards of other players and no explicit communication or coordination between players is possible. Prior studies mostly focus on maximizing the sum of rewards of the players over time. However, the total reward maximization learning may lead to imbalanced reward among players, leading to poor Quality of Service (QoS) for some players. In contrast, our objective is to let each player n achieve a predetermined expected average reward over time, i.e., achieving a predetermined level of QoS. We develop a novel decentralized MP-MAB algorithm to accomplish this objective by leveraging the methodology of randomized matching. We prove that our decentralized algorithm can ensure that all players have an O(1) QoS regret. We also reveal an analog between our MP-MAB model and the online wireless queuing systems, which builds a connection between QoS in MP-MAB learning and stability in queuing theory.

The role of quality in airport services in passenger satisfaction at Aden Adde International Airport, Mogadishu, Somalia

Service quality is crucial for all service providers operating in the open market across all industries, particularly in the aviation sector, which produces billions of dollars in annual revenue from its services. The level of service quality significantly influences client satisfaction, and conversely, customer happiness reciprocally affects the service provider. In order to attain diverse company objectives, it is imperative to prioritize customer happiness specifically during the process of privatization. The primary objective of this research is to examine the influence of airport service quality on customer satisfaction within the context of a privatized airport. Descriptive and correlation analyses were utilized in the study. A total of 400 questionnaires were administered to passengers who embarked from Aden Adde International Airport as part of the study. Subsequently, the data was subjected to analysis utilizing a statistical software program designed for social science software (SPSS). The results of this analysis revealed a robust and positive correlation between Airport customer services and customer happiness. The study additionally revealed that a significant proportion of the airport's passengers expressed dissatisfaction with the services provided by Aden Adde International airport.