Empirical transversal study was conducted with the aim of checking the validity of the questionnaire for measuring the quality of services in a dance club. The research sample consisted of a total of ...194 respondents, users of the services of the Dance Club “Gemma” Banja Luka (active members). Subsampling was performed through two research areas: (1) in relation to gender (M = 31; F = 163) and (2) in relation to the user experience-length of training in the club (up to 1 year; from 1 to 3 years; from 3 to 7 years; more than 7 years). As a research instrument, a modified questionnaire SQKC (Service Quality of Karate Club) was used to assess the quality of services in the karate club, which in this case was used as a scale for individual assessment of the quality of sports services in the dance club and consists of 15 indicators of sports services. Respondents expressed their assessment by rounding off the numbers on a five-point Likert-type scale. The results obtained by surveying the respondents show that the club provides high quality services (average score 4.16). Discriminant analysis found that user experience and gender did not affect the perception of the quality of sports services. When identifying the internal agreement of the scale used, it was determined that the scale has good internal agreement (Cronbach’s Alpha =, 932), which indicates its good metric characteristics. The questionnaire used should also be checked at other dance clubs, and the good metric characteristics of the SQDC (Service Quality of Dance Club) questionnaire are expected to prove reliable.
With the popularity of Deep Neural Network (DNN) models in diverse fields, DNN inference services have been widely deployed on cloud for resource-limited devices to support intelligent applications. ...Serving DNN inference often requires GPU acceleration to meet latency-sensitive interactive targets. A common approach to improving GPU utilization is to let multiple models share a GPU. However, this approach probably degrades both the responsiveness and throughput of model serving systems, due to that concurrent DNN inference tasks contend for GPU resources. In addition, interferences among heterogeneous DNN inference tasks probably incur performance isolation problem that heterogeneous models suffer from different levels of serving performance degradation. Existing works fail to ensure performance isolation among users of heterogeneous DNN models. To solve the aforementioned problem, we propose InferFair, a QoS-aware scheduling framework for ensuring performance isolation in heterogeneous model serving systems. InferFair focuses on two key designs: (1) periodically estimating effective throughput requirements of all active models online and (2) applying fine-grained adjustments to minimize the impact differences of GPU sharing on heterogeneous model services. We conduct intensive experiments on a variety of DNN models to demonstrate the effectiveness of InferFair. Compared to a prior competitor named Clockwork, InferFair alleviates the performance isolation problem by up to 1.7×, as well as improving the overall goodput by up to 25.6%.
•Estimate the real-time effective throughput requirement of each active model online.•Guarantee performance isolation among users of heterogeneous DNN models.•Improve system-wide effective throughput.
Adequate education, employment, and services for autistic individuals contribute significantly to their and their parents' quality of life. Services and support for adults are dramatically more ...limited than those for children. The main purpose of this study was to explore how parents perceive factors supporting/hindering access to services, and how they assess the quality of services.
Qualitative data provided by 12 parents via a semi-structured interview with a broader focus on parental quality of life and its factors were analyzed. Their autistic children were between 20 and 34 years of age. A thematic analysis was performed on parts of the narratives on their adult periods of life.
A complex pattern of parental perception of supportive and hampering factors influencing access to services unfolded. The sparsity of services/activities and reliable information on them made the space for autonomous decisions on service take highly limited. Parents have modest expectations on quality of services, evaluating them along two key aspects: a safe, positive atmosphere, and communication between parents and professionals. Other aspects of individualized autism-specific support were not or just rarely mentioned.
Parents perceive themselves as investing a lot of effort and resources in getting some form of regular service and/or activity for their adult child. However, these parental efforts often fail, their child becoming inactive, and dependent on their presence. This suggests system-level problems with services for autistic adults in Hungary, with literature showing it is not specific to this country.
Universities contribute to shaping the identity of a nation with their major university social responsibility (USR) in addition to their academic purposes and corporate strategies. In Saudi Arabia ...with Vision 2030, universities are facing a transformation in adapting to the societal changes and implementing a socially responsible management, considering the satisfaction of their most important stakeholders (i.e., the students) and the quality of services offered to them. This study aims to explore how USR fulfills the societal changes in Saudi Arabia from the perspective of university students in addition to inspecting USR’s relationships with the students’ satisfaction and the quality of services offered to them. A self-report study was conducted with 350 undergraduate students in the Faculty of Social Sciences in a Social Work program at a University in the Western region of Saudi Arabia. An inside–outside (I–O) map of USR was applied to investigate the relationships among USR’s aspects. The study results demonstrated a moderate level of agreement by students toward the university’s fulfillment of its USR, quality of services offered to them, and their satisfaction. In contrast, the results of a regression analysis revealed that all USR aspects could explain only 13% of the students’ satisfaction. Legal responsibilities, among all USR aspects, exhibited the highest influence on students’ satisfaction. Gender differences existed in favor of female students’ perceptions toward the university’s fulfillment of its USR. The I–O map provided interesting insights to interpret the correlations among all USR aspects under the influence of societal changes that have occurred under Saudi Vision 2030.
This research aims to measure the effect of digitalization on service quality through the SERVQUAL model (tangibility, reliability, responsiveness, assurance, and empathy) and customer loyalty. Also, ...we analyze the relationship between customer loyalty and their demographics. A quantitative method was used to achieve the objectives through a structured questionnaire, where part of the research sample was 400 clients of Kosovo banks. Results show that digitalization positively affects service quality and customer loyalty based on the OLS model. According to the T-test, there was no significant difference in customer loyalty between the genders. There has been a significant difference in loyalty between clients’ ages following the one-way ANOVA test. According to the Kruskal Wallis test, it also resulted in a significant difference between levels of education. This study will provide banks with feedback on the importance of digitalization and its correlation with their customers’ quality of service and loyalty. In this form, they decide to make even greater investments in digitalization by satisfying customer demands and creating loyal customers. Doi: 10.28991ESJ-2022-06-06-04 Full Text: PDF
With the rapidly increasing number of independently developed Web services that provide similar functionalities with varied quality of service (QoS), service composition is considered as a problem in ...the selection of component services that are in accordance with users’ QoS requirements; a practice known as the QoS-aware service composition problem. However, current solutions are unsuitable for most real-time decision-making service composition applications required to obtain a relatively optimal result within a reasonable amount of time. These services are also unreliable (or even risky) given the open service-oriented environment. In this paper, we address these problems and propose a novel heuristic algorithm for an efficient and reliable selection of trustworthy services in a service composition. The proposed algorithm consists of three steps. First, a trust-based selection method is used to filter untrustworthy component services. Second, convex hulls are constructed to reduce the search space in the process of service composition. Finally, a heuristic global optimization approach is used to obtain the near-optimal solution. The results demonstrate that our approach obtains a close-to-optimal and reliable solution within a reasonable computation time.
We lend theoretical insight to the service climate literature by exploring the joint effects of branch service climate and the internal service provided to the branch (the service received from ...corporate units to support external service delivery) on customer-rated service quality. We hypothesized that service climate is related to service quality most strongly when the internal service quality received is high, providing front-line employees with the capability to deliver what the service climate motivates them to do. We studied 619 employees and 1,973 customers in 36 retail branches of a bank. We aggregated employee perceptions of the internal service quality received from corporate units and the local service climate and external customer perceptions of service quality to the branch level of analysis. Findings were consistent with the hypothesis that high-quality internal service is necessary for branch service climate to yield superior external customer service quality.
The study aimed to understand the impact of the five Kaizen success measurements (Organizational Policy and Awareness, Education and training, Cultural factors, Internal processes assessment and ...recognition) on the overall quality of work and the quality through by Employees Work Improvement as mediated factor on Insurance Companies in Amman. The study used a questionnaire to gather data from distributed on the 300 employees used random sample was applied to the population of this study consisting of all executives, department managers and employees of the Insurance Companies in Amman, Jordan. The questionnaire consists of three sections. Least Square-Structure Equation Modeling (PLS-SEM) program was chosen and used in this study in an effort to examine and test the data associated with the hypotheses. The results show Kaizen methods positively effect on the employee work improvement of the companies of. The kaizen implement employee work improvement positively effect on overall work and quality of service, Kaizen implementation positively affects overall work and quality of service, Employee work improvement on overall work and quality of service is partially mediated between kaizen implementation and on overall work and quality of service of Insurance companies in Jordan. Additionally, small companies can use Kaizen to enhance the overall work with low cost compared to other methods of improvement, which can be of a high cost that small companies cannot afford.
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