Satisfaction Model Research Articles

Public management model for user satisfaction in health centers

Public management model for user satisfaction in health centers

Satisfaction and sustainability concerns in whale-watching tourism: A user-generated content model

This study examines the satisfaction and sustainability concerns of whale-watching tourists by analysing user-generated content (UGC) on social media. A satisfaction model was developed and estimated utilising an ordered probit analysis with UGC data from TripAdvisor over the last 13 years that includes a specific whale-watching lexicon. The model addresses most of the physical, human, environmental, experiential, and operational aspects of the activity, including consumers’ feelings and sustainability concerns. The significance of the variables in the model was proven with the available empirical data. The findings provide a comprehensive description of the underpinnings of whale watchers’ preferences and concerns. The evidence reveals compelling social trends towards higher sustainability concerns influencing satisfaction, providing valuable information for the industry and its decision-makers for understanding preferences for sustainability in whale-watching tourism.

Effect of Parent-Initiated Support on Career Calling Among Chinese Kindergarten Teachers: Basic Psychological Need Satisfaction as Mediator.

Possessing a calling to teach is a core and essential quality of good kindergarten teachers, and it is critical to explore which factors positively impact kindergarten teachers' career calling. Developing a career calling is a meaning-making process that can be influenced by the actions of others in the workplace. During the frequent parent-teacher interactions, parent-initiated support may serve as significant interpersonal cues for kindergarten teachers in developing their career calling. Thus, the present study examined the effect of parent-initiated support on kindergarten teachers' career calling. Further, we investigated the multiple mediating roles of global and specific basic psychological need satisfaction based on the self-determination theory (SDT). Cross-sectional data were collected from 629 kindergarten teachers in China and analyzed using Mplus 8.3 software and the Process 3.5 macro of SPSS 26.0 software. Before testing the hypothesis, we used Mplus 8.3 to save factor scores from the Bifactor model of basic psychological need satisfaction and two uni-dimensional models of parent-initiated support and career calling. Subsequently, using the Process 3.5 macro within SPSS 26.0 software, we conducted path analysis to examine the total and mediating effects between parent-initiated support and kindergarten teachers' career calling. The results revealed a positive effect of parent-initiated support on teachers' career calling. Teachers' global and specific competence need satisfaction partially mediated this positive effect, while the mediating effects of teachers' specific autonomy and relatedness need satisfaction were non-significant. These findings suggest that parent-initiated support is an important job resource for kindergarten teachers' development of career calling. In addition to satisfying global psychological needs, satisfying specific needs (eg, competence need) provides additional benefits to kindergarten teachers' experience of career calling.

Job Satisfaction among Employees of a Private Catholic Education Institution: A Baseline Study

This study investigates job satisfaction among employees at San Sebastian College-Recoletos, a private Catholic education institution in the Philippines. Maslow’s hierarchy of needs was used to understand employee satisfaction. The research design incorporates a descriptive-comparative methodology to explore the relationships between ages, gender, years of service, salary, campus, classification, and overall job satisfaction. A self-administered survey is the data collection instrument with 80 participants from different employee classifications. Statistical analyses such as mean and Analysis of Variance examine differences in job satisfaction levels. Overall, employees reported that they are satisfied and that safety and security needs are the most confident among other needs. Meanwhile, the overall satisfaction of the employees significantly differs when they are grouped according to age. An action plan has been proposed based on the study findings. Recommendations for future research include longitudinal studies, qualitative investigations, exploration of alternative job satisfaction models, and a focus on specific areas for improvement based on employee needs.

The Influence of User Experience and E-Service Quality on Customer Loyalty Through Customer Satisfaction Mediation (Study on Mobile Coffee Shop Applications in Indonesia)

Purpose-This study aims to examine the influence of user experience and e-service quality on customer loyalty with customer satisfaction as a mediator in mobile coffee shop applications in Indonesia.Design/methodology/approach -This research is a quantitative research which uses a survey methodology with SEM-PLS analysis. This study involved 270 respondents who are active users of various mobile coffee shop applications.Findings-The results indicated that user experience significantly affects e-service quality and directly impacts customer satisfaction. Although e-service quality did not show a positive effect on customer loyalty, the study found no significant evidence that e-service quality directly impacts customer satisfaction. However, customer satisfaction significantly mediates the relationship between user experience and customer loyalty. Additionally, age serves as a moderating variable in the relationship between customer satisfaction and customer loyalty. These findings underscore the importance of enhancing user experience and suggest that improving electronic service quality may not be sufficient without directly increasing customer satisfaction to build customer loyalty.Originality/value-This study used age as a moderating variable, and combined it with UX and customer satisfaction model.

Model for Sustainability Improvement of Student Satisfaction Based on Service Quality: Testing the American Customer Satisfaction Model in Higher Education

This research aims to empirically investigate the antecedents and consequences of student satisfaction with programs provided by higher education institutions and identify service quality attributes that need to be improved. This research uses the American Customer Satisfaction Model (ACSM) as an analytical lens. The unit of analysis in this research concentrates on students who are studying at Semarang City Universities. Partial Least Squares (PLS) estimation is used to test measurement models, estimate the predictive power of theoretical models, and obtain the SSI score. Although student satisfaction is a complex concept, this model has proven to be an accurate estimator. The research results show that student satisfaction is entirely satisfactory, with an SSI score of 68.75. Through the Structural Measurement Method, it was found that perceived benefits and interactions in the process had the most significant influence on satisfaction. This research contributes to discussions about service quality by highlighting the role of perceived usefulness and aspects of the interaction process as factors shaping service quality. Apart from that, this research also reinforces the discussion regarding the relationship between student satisfaction and complaints by showing that this relationship is negative if managed by producing graduates loyal to the university.

Kepuasan Pengguna Fitur Medis ePuskesmas dengan Model EUCS dan DeLone & McLean di Sumedang

An ePuskesmas is a health information system developed through the collaboration of the Sumedang District Health Office and PT Infokes Indonesia. It offers various features to aid health workers at Puskesmas, notably the medical feature for managing patient data during polyclinic examinations. However, this feature faces issues such as synchronization difficulties with Pcare, slow system responses due to high user traffic, and frequent errors. This study aims to assess user satisfaction with the medical features of ePuskesmas using the End User Computing Satisfaction (EUCS) model and the DeLone and McLean Model. The study involves 93 respondents, including nurses, midwives, and doctors from Sumedang Regency Health Center, selected through purposive sampling. Data analysis is performed using SmartPLS 3.2.9 with PLS-SEM. The results indicate overall user satisfaction with the medical features of ePuskesmas. Out of 8 hypotheses, 3 are accepted, and 5 are rejected. Key factors influencing user satisfaction include Accuracy, Ease of Use, and Information Quality. This research is important to find out whether the system developed by related parties is in accordance or not with the end user

Satisfaction Model in Romantic Relationships: Basic Psychological Needs, Mindfulness, Relationship Quality, Attribution Styles

Relationships are an important component of human mental health. In this study, the relationships between romantic relationship satisfaction and basic psychological needs, mindfulness, relationship quality, and attribution styles in university students were examined within the framework of the proposed model of Satisfaction in Romantic Relationships. The study sample consisted of 1057 university students from Turkey. According to the results of the study, basic psychological needs predict Romantic Relationship Satisfaction. The relationship between basic psychological needs and romantic relationship satisfaction is mediated by causality-responsibility attribution styles, mindfulness, and relationship quality. Relationship quality and mindfulness mediate the relationship between causality-responsibility attribution styles and romantic relationships satisfaction. Mindfulness predicts romantic relationships satisfaction. In the relationship between mindfulness and romantic relationship satisfaction, the relationship quality mediates for the I.Structural Model, and the mediating effect is not significant for the II.Structural Model.

Nonwork orientations and job crafting: a moderated mediation model of life satisfaction and age

Nonwork orientations and job crafting: a moderated mediation model of life satisfaction and age

TRANSFORMATIONAL RECTOR LEADERSHIP IN BUILDING ORGANIZATIONAL COMMITMENT AND COMPENSATION TOWARDS JOB SATISFACTION OF NON-LECTURER STAFF (EDUCATION STAFF)

The research is focused on applied model of Job Satisfaction. It finds out the influence of transformational leadership, organizational commitment and compensation towards Job Satisfaction in Mercu Buana University. The research approach used is quantitative approach with explanatory survey method (questionnaire). Research data is analyzed descriptively using inferential statistics with regressions. The subjects of this research are human resources (107 Education staff employees). The result of the research shows that transformational leadership, organizational commitment and compensation have thoroughly significant and positive (53.2%) influence on Job Satisfaction. The research result shows that transformational leadership influence significantly (30.4%) towards job satisfaction. There is significant influence of organizational commitment (16.5%) towards job satisfaction. there is significant influence of compensation (80.2%) towards job satisfaction. When those variables are combined or applied well by the Mercu Buana University, there will be an increase on job satisfaction. Employees who are engaged will do their tasks better than those who are not engaged, so employees’ productivity will improve, resulting in the increased performance of the Mercu Buana University as well.Therefore, Rector of Mercu Buana University has made program and strategy plan for the future which are also must address issues in higher education, i.e. global (competitiveness & professionalism, international standardization, and networking/linkage), national (job satisfaction for employees in order to create commitment organizational, compensation and achieving job performance) level.

The structural model of marital satisfaction based on relational beliefs with the mediating role of cognitive emotion regulation in married women

Introduction: Inefficiency in the process of emotion regulation prevents the emergence of efficient behaviors and appropriate coping responses to the situation in marital relationships by the individual, which seems to be influenced by relational beliefs. Aim: The present study aimed to formulate a structural model of marital satisfaction based on relational beliefs with the mediating role of cognitive emotion regulation in married women. Methods: The current research was descriptive-correlation based on the method of structural equations and the statistical population of the present study consisted of all married women between the ages of 30 and 50 who were referred to counseling centers in Tehran in the first six months of 2022, among them 371 women were selected using the random clusters sampling method. The research tools included ENRICH Marital Satisfaction Scale, Relationship Belief Inventory, and Cognitive Emotion Regulation Questionnaire. For data analysis, Pearson's correlation method and structural equations were used with SPSS version 22 and AMOS version 24 software. Results: The results of the present study showed there is an indirect and significant relationship between relational beliefs and marital satisfaction with the mediation of positive emotional cognitive regulation (P=0.003, Z=-2.11). There is an indirect and significant relationship between relational beliefs and marital satisfaction with the mediation of negative emotional cognitive regulation (P=0.009, Z=-1.78). Conclusion: The results showed that marital satisfaction is predicted based on communication beliefs with the mediating role of cognitive emotion regulation in married women. It is suggested that couple therapists and family therapists pay attention to relational beliefs and cognitive emotion regulation strategies derived from them in counseling and couple therapy to increase marital satisfaction.

Modeling marital satisfaction based on marital expectations, emotional maturity, and aspects of love with the mediation of marital conflicts of married women

Introduction: Marriage satisfaction is one of the main determinants of the quality of life of each person, and marital satisfaction can predict the stability and instability of a relationship. Aim: This research was conducted with the aim of developing a model of marital satisfaction based on marital expectations, emotional maturity and aspects of love by mediating marital conflicts in married women. Methods: The descriptive data collection method was correlational. The current study's statistical population was comprised of all married women who referred to the community centers of Tehran in 1401, and 550 by the available sampling method people were selected from among them. In this research, Enrich's (1998) marital satisfaction tools, Miller and Tedder's (2011) expectations from married life, Singh and Bhargava's (1991) emotional maturity, Barati, and Sanai Zaker's (1375) marital conflicts, and Sternberg's love triangle (1989) were used. Structural equation modeling method and SPSS and PLS software were used for data analysis. Results: The findings of the research showed that marital expectations and emotional maturity and dimensions of love had a significant effect on marital satisfaction directly and indirectly due to marital conflicts (P<0.05). Conclusion: Based on the research findings, marital satisfaction is influenced by marital expectations, emotional maturity, and aspects of lovemaking. It is suggested to researchers and therapists to examine marital expectations, emotional maturity and the dimensions of love and subsequent marital conflicts in preventing and planning treatment for couples.

Virtual Power Plant Scheduling Model Considering the Power Consumption Satisfaction of Users with Different Flexible Loads

Abstract Aiming at the problem that customer satisfaction with electricity consumption will affect the implementation effect of demand response. This paper proposes a virtual power plant scheduling model considering the satisfaction of users with different flexible loads. Firstly, the flexible load is divided into three categories: reducible load, transferable load and substitutable load. By analyzing the factors that affect the satisfaction of electricity consumption, the satisfaction models of customers with different flexible loads are constructed respectively. Secondly, a virtual power plant scheduling model considering different flexible load demand response models is established. Finally, the scheduling model is simulated and solved based on MATLAB, and the validity of the proposed virtual power plant scheduling model considering the satisfaction of users with different flexible loads is verified.

THE PROJECT-BASED LEARNING (STEM MODEL) IN FUNDAMENTAL PHYSICS LEARNING

The education involves STEM combines four fields: S for Science, T for Technology, E for Engineering, and M for Mathematics. STEM education is under the Malaysian Education Development Plan (PPPM) 2013-2025, to enhance the high interest and motivation to study these four fields. Subsequently, the academic achievement of the STEM subjects can be improved. Therefore, this study aims to study the usage of the STEM model in the learning process of fundamental physics subject, characterized by higher-order thinking skills. The sample in this study was students from the Centre of Foundation Studies in Science of Universiti Putra Malaysia. Two groups are formed: the group that will produce the model (developer groups) and the group that will use the model in the learning process (user groups). The user groups are given a Pre-Achievement Test (Pre-AT) to determine their initial skills on the related topic. At the same time, the developer groups develop the STEM model, which acts as a learning tool for the usage groups. Then, after being exposed to the STEM model for 2 months, the user groups are requested to answer a Post-Achievement Test (Post-AT). The performance of Pre-AT and Post-AT are compared since these tests use a similar level of Bloom's taxonomy. Moreover, both groups need to answer the same surveys regarding the model's formation and evaluate the model's satisfaction in the learning process. Based on the analysis results, it was found that using the STEM model enhances the understanding of physics concepts, and subsequently increase the critical thinking and problem-solving skills among students. In addition, the STEM model development enhances the skills of project-based learning (PBL) among students.

Adaptive variable neighborhood search algorithm with Metropolis rule and tabu list for satellite range scheduling problem

Efficient scheduling of measurement and control resources plays a critical role in successful satellite operations. The tremendous growth in the number of satellites in orbit exacerbates resource scarcity, further enhancing the significance of the satellite range scheduling problem (SRSP). In order to maximize the benefits of measurement and control tasks, we propose an innovative algorithm to solve the SRSP with numerous constraints. Firstly, the SRSP operation flow is analyzed to establish a constraint satisfaction model. A task-resource matching algorithm based on fitness is then designed to generate an initial feasible solution with superior quality by heuristic criteria. Subsequently, an adaptive variable neighborhood search algorithm with Metropolis rule and tabu list (AVNS-MT) is proposed to solve the mathematical model. Three swap neighborhood structures are constructed to explore the solution space efficiently during the variable neighborhood descent search process. Meanwhile, three migration neighborhood structures are devised to enable the shaking of solutions and evasion from the local optimum. Moreover, the incorporation of the Metropolis rule and tabu search strategy will contribute to enhancing the algorithm convergence. Finally, we have conducted extensive simulations to verify the effectiveness and efficiency of the proposed AVNS-MT. Comparison experiments with several state-of-the-art methods validate the superiority of the proposed algorithm.

Exploring the Nexus of Distance Learning Satisfaction: Perspectives from Accounting Students in Serbian Public Universities During the Pandemic

AbstractAmid the COVID-19 pandemic, teachers globally transitioned to distance learning, presenting significant challenges, particularly in developing countries. In that sense, the study investigates the usefulness and satisfaction (US) of distance learning (DL) among accounting students in Serbian public universities during the COVID-19 pandemic. The research focuses on three key factors affecting perceived US derived from existing literature, including teaching process quality (TPQ), technical qualities of distance learning platforms (TQ), and compatibility with social and pandemic conditions (CSPC). The developed theoretical model is predominantly based on the user satisfaction model. Data from 373 surveyed students, gathered through a validated questionnaire, underwent analysis using the partial least squares structural equation model (PLS-SEM). Results reveal that CSPC and TPQ significantly impact the US, whereas TQ has a minor and statistically insignificant effect. The R2 value indicates these three constructs explain a significant portion of the variance for the US, with moderate effects of CSPC and TPQ and a small effect of TQ, indicated by f2 values. Moreover, the model is found to be significantly predictive, according to the Q2 value. Besides theoretical implications, the study suggests important practical implications for university management, emphasizing regular student surveys, continuous improvement of DL systems, and effective and continuous teacher training as the vital measures for enhancing teaching quality. Improving TPQ and TQ also impacts the Serbian economy by fostering workforce development, enhancing digital transformation, stimulating telecommunication industry growth, driving digital information sector development, attracting investment and innovation, boosting global competitiveness, and promoting lifelong learning.

Higher education quality evaluation based on neural network model

With the constant goal of improving the quality of higher education, quality evaluation is a widely concerned problem, prompting this study to construct a higher education quality evaluation method based on a neural network model. First, an Attention Relevance Confidence Satisfaction (ARCS) model was constructed herein. This was done through two rounds of screening; the evaluation indexes of higher education quality were selected, and an evaluation index system was finally constructed. Then, the weight of each evaluation index was calculated using the constructed ARCS model. According to the 1–9 grading scale, an index scoring matrix of industry-education integration was established. Afterwards, the higher education quality evaluation score was obtained based on the neural network model, and the evaluation effect level was determined. The experimental results showed that the quality evaluation effect of the proposed method in the past five years showed an overall rising trend, even already reaching the top level. Moreover, the denoised experimental dataset was finally divided into a test dataset (28%) and an experimental dataset (72%), with the proposed method exhibiting a favorable effect.

A framework for the incorporation of digital scholarship contents in South African Library and Information Science Schools

Education curricula need constant updates in response to job market requirements, which may be influenced by the changing technological environment. In the library and information science (LIS) job market there are dynamics brought about by the Fourth Industrial Revolution (4IR). These dynamics call for LIS schools to reconsider their curricula in line with the job market. The job markets expect the education system to reflect their demands, as they are the primary clients. This study explored the education and training of LIS professionals on digital scholarship in line with the LIS curriculum in higher education institutions of South Africa. This was to enable the development of a framework for incorporating digital scholarship into the LIS curriculum. Wolf’s (2007) curriculum development model and an aspect of the customer satisfaction model (Zeithaml et al., 1993) informed the study. The models assisted in producing a framework that can be used to incorporate digital scholarship content into the LIS curriculum in South Africa. The framework suggests that when developing digital scholarship, consultation with relevant stakeholders both internal and external should be considered. Relevant infrastructure and resources should also be in place when developing a digital scholarship curriculum. The relevant infrastructure should include the 4IR-driven infrastructure such as smart sensors, three-dimension (3D) modeling, and cybersecurity tools, among others. Relevant documentation such as resources in the form of policies, course outlines, and other curriculum-related documents should also be consulted. This model, if adopted, could assist LIS schools in developing a curriculum that is driven by digital scholarship, leading to the production of LIS graduates that meet the requirements of the current LIS job market.

Service quality, satisfaction, and intention to use Pourasava Digital Center in Bangladesh: The moderating effect of citizen participation.

This study describes how, as part of the administrative reform of Bangladesh, most of the urban local governments have set up some public service center like Pourasava Digital Center (PDC), where ICT (Information and Communication Technology) has been commonly applied to make e-services more convenient, efficient and transparent. The current study measures the Service Quality Satisfaction and Continuous Use Intention to use Pourasava Digital Center (PDC) in Bangladesh by adopting citizen participation as a moderator. Theoretically, this study has used the DeLone & McLean Information Systems (D&M IS) Success Model and Zhang's two-dimensional satisfaction model. However, most of the existing studies in Bangladesh are qualitative, and the relationship between service quality and citizen satisfaction has not been tested. A survey was conducted based on a structured questionnaire method and data collected from 332 respondents from 05 PDC and applying structural equation modelling in AMOS software while analyzing the data. The empirical results showed that the data fit the model. The finding of this study is that information quality affects specific satisfaction but not accumulative satisfaction, and specific satisfaction might not lead to accumulative satisfaction. One of the worthy findings of this study is that citizen satisfaction is highly dependent on system quality and service quality rather than information quality. The continuous use intention of the citizen is not based on specific satisfaction but significantly depends on accumulative satisfaction. To ensure the improvement of PDC's service quality, all dimensions related to the quality of service should be modified, and the administrative system and citizens should be encouraged to participate in all aspects of services.

A Hybrid Genetic Algorithm for Ground Station Scheduling Problems

In recent years, the substantial growth in satellite data transmission tasks and volume, coupled with the limited availability of ground station hardware resources, has exacerbated conflicts among missions and rendered traditional scheduling algorithms inadequate. To address this challenge, this paper introduces an improved tabu genetic hybrid algorithm (ITGA) integrated with heuristic rules for the first time. Firstly, a constraint satisfaction model for satellite data transmission tasks is established, considering multiple factors such as task execution windows, satellite–ground visibility, and ground station capabilities. Leveraging heuristic rules, an initial population of high-fitness chromosomes is selected for iterative refinement. Secondly, the proposed hybrid algorithm iteratively evolves this population towards optimal solutions. Finally, the scheduling plan with the highest fitness value is selected as the best strategy. Comparative simulation experimental results demonstrate that, across four distinct scenarios, our algorithm achieves improvements in the average task success rate ranging from 1.5% to 19.8% compared to alternative methods. Moreover, it reduces the average algorithm execution time by 0.5 s to 28.46 s and enhances algorithm stability by 0.8% to 27.7%. This research contributes a novel approach to the efficient scheduling of satellite data transmission tasks.