Satisfaction Model Research Articles

Organizational Justice on Employee Procrastination: a Moderated-Mediation Model of Job Satisfaction and Psychological Contract Breach

Purpose: This research aimed to explain: (1) the role of job satisfaction as a mediator of the effect of organizational justice on job procrastination behavior, and (2) psychological contract breach as a moderator of the effect of organizational justice on job satisfaction and procrastination behavior.. . Theoretical framework:. Procrastination is the behavior of delaying starting work or tasks, or delaying completing a task that does not need to be postponed (Ferrari, 2023). Some people intentionally procrastinate for various subjective reasons, such as laziness or boredom. Delaying work due to this intentional element is often called procrastination (Ferrari, 2023). Most research on factors that influence procrastination behavior focuses more on individual factors; therefore, few include social relationship factors such as organizational justice and psychological contract breach.. Perceived organizational justice is one of the organizational factors that can be investigated from sociology and organizational behavior. Design/methodology/approach: This research was conducted through a survey of 195 education staff civil servants at three state universities in Indonesia. The data analysis used AMOS 17.0 Findings: The results found that organizational justice did not directly affect procrastination behavior but through the mediation of job satisfaction. The psychological contract breach was proven not to moderate the effect of organizational justice on job satisfaction. This research was conducted on education staff with civil servant status in state universities Research, Practical & Social implications: This research implication that an informal-unwritten work contract arrangement through a psychological contract will be effective according to the characteristics of the job and the organization. This study compares the effect of organizational justice on job satisfaction and procrastination behavior in the context of formal and informal contract arrangements. Originality/value: This study was motivated by two research gaps. First, a study on the effect of organizational justice on previous procrastination behavior showed a low R-square of 0.292 (Karimi & Andam, 2016). The resulting very low R-square number indicated that the effect was weak, thus it is necessary to have other variables that mediate or moderate to improve the results. Based on behavioral theory, there is a need for research that examines the role of job satisfaction in mediating the effect of organizational justice on procrastination behavior.

The lost value for users of cultural institutions during the COVID-19 pandemic: a life satisfaction approach.

Studies related to the assessment of the non-market values of culture typically employ methods based on stated or revealed preferences. In this paper, we implement a new emerging non-market valuation technique, namely the life satisfaction approach. In particular, we quantify in monetary values, the additional utility that people benefit from cultural experiences, as well as the additional disutility suffered by cultural consumers specifically due to the closure of cultural organisations during the COVID-19 pandemic, as the pandemic provides a unique setting. Using a survey conducted in Denmark in the spring of 2020, we confirm the link between cultural participation and well-being by estimating a life satisfaction model, instrumenting for both income and cultural participation to avoid simultaneity problems. Furthermore, we show that fervent cultural consumers have experienced an additional welfare loss during the lockdown period, controlling for all other known life dimensions affected by the pandemic. Our results aim to highlight the role of cultural participation insustaininglife satisfaction and, consequently, to support a well-being evidence-based cultural policy that facilitate cultural accessibility as a mean to increase the individual well-being.

Research on the Construction of Evaluation Index System for Satisfaction of College Students with University Services

With the popularization of higher education in China, the quality of higher education is increasingly receiving widespread attention from students, parents, and society. As the main body of universities, college students are the most direct recipients of higher education services, the group most concerned about the quality of higher education, and the most trustworthy evaluators and evaluators of the quality of higher education. The theory of customer satisfaction is the foundation of higher education evaluation. It is of great theoretical value and practical significance to compare and study the theory of customer satisfaction at home and abroad with the evaluation index system of college student satisfaction, and to construct a suitable and realistic evaluation model and index system for college student satisfaction in China. Building a "student centered" evaluation index system for college students' satisfaction with university services based on customer satisfaction theory can provide new methods for higher education evaluation, improve the higher education evaluation system, and promote innovation in the higher education monitoring system.

Effects of Tourist Destination Choice Attributes on Perceived Value and Tourism Satisfaction at Geochang Changpowon: Moderating Effect of Tourist Prior Knowledge

The tourism industry policies of local governments have been linked to events in each region, but over time, tourists have come to a situation where they may not feel the differentiation or attractiveness of tourist destinations. Recently, local governments are investing in eco-friendly waterside ecological parks to revitalize the local economy. The purpose of this study is to investigate the influence relationship between tourist destination choice attributes(attractiveness, convenience, and experientiality), perceived value, and satisfaction, and to analyze the moderating effect of tourists’ prior knowledge at the tourist destination of a local waterside ecological. 462 questionnaires were used for the final analysis, and AMOS 21.0 was employed to analyze the measurement model and path model. As a result of the empirical analysis, first, the attractiveness, convenience, and experientiality of the tourist destination choice attributes have a positive effect on perceived value. Second, attractiveness, convenience, experientiality, and perceived value have a positive effect on satisfaction. Third, the moderating effect of tourists’ prior knowledge in the relationship between tourist destination choice attributes and perceived value is not significant at the of 0.05. Fourth, the moderating effect of tourists’ prior knowledge in the relationship between tourist destination choice attributes and satisfaction is partially significant at 0.05 and 0.01. It is shown that a tourist destination choice attribute-perceived value-tourism satisfaction model is possible. It can be seen that the role of tourist destination choice attributes is important in increasing tourism satisfaction and perceived value. However, the moderating effect of tourism prior knowledge is partially significant, showing that it is possible to play a certain role in improving tourism satisfaction and perceived value.

Looking through the Models: A Critical Review of Residential Satisfaction

The study of residential satisfaction has gained importance mainly for its recognition as an important constituent of quality of life. Several studies have investigated the cognitive and behavioural characteristics of inhabitants or the physical and social characteristics of residential environments to understand and evaluate residential satisfaction. However, only a small number of researchers have structured these variables into models to study and analyse the relationships among them. This paper reviews residential satisfaction through the primary models used to study residential satisfaction in order to critique their strengths and weaknesses. The majority of the models discussed in this paper employ subjective and objective attributes to evaluate residential satisfaction. The paper also points out that researchers should clearly define the physical limits of proposed models and the relationships between residents and their residential environments when developing a residential satisfaction model to avoid conceptual ambiguity. The findings of this paper could contribute to a conceptual and theoretical framework of current research on residential satisfaction, as well as providing suggestions for using models in practice and recommendations for future research.

Development of Health Screening Information System for Elementary School Children at Dalam Kaum Sambas Public Health Center, Sambas Regency - West Kalimantan

Dalam Kaum Sambas Public Health Center is one of the public health centers that carry out the main activities of health improvement efforts in the form of promotive and preventive efforts, namely health screening for elementary school children, which are carried out manually, causing problems such as the length of recording, drawing conclusions based on examination results and recapitulation that are at risk of errors. This study aimed to develop an Information System for Primary School Children's Health Screening (SIPEKASDA) at Dalam Kaum Sambas Public Health Center. This research method is Research and Development (R&D) with system design using the Waterfall model and system evaluation with the EUCS End User Computing Satisfaction (EUCS) model. The design of the Information System in this study includes a Data Flow Diagram, Flowchart, Entity Relationship Diagram and User Interface, which produces an Information System with several menus, namely processing student data, parents, student class mapping, health checks and recapitulation of school-based health check results. The results obtained from SIPEKASDA include; the presentation of examination results data and recapitulation of examination results per school, village and sub-district. SIPEKASDA is a website-based information system that can be accessed anywhere and anytime. The quality of the Primary School Children's Health Screening Information System assessed from the evaluation of information systems using the End User Computing Satisfaction (EUCS) model is very good, which reaches 83.58%, so the information system can be relied on if you need data at any time. One of the principles of using information systems is timelines or the speed of information systems in responding to what is done by its users, presenting data promptly and up to date so that the use of information systems can increase. Problems in recording inspection results, data processing, data recapitulation, report making, and ease of accessing the system can be adequately resolved after the system is made.

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

The service quality of smart city public management is the direction of modern city management construction of Chinese local government, but the current work of smart city management construction and management is not perfect. Among them, the most obvious and prominent problem is that there is no evaluation system for the public management service quality of smart cities, which makes it difficult to achieve the expected effect in the actual construction process without considering all factors. In this case, it is necessary to establish a complete and effective smart city management evaluation system to ensure the rationality and effectiveness of urban management input, which is a problem that must be solved by the current smart city local government smart city public management service quality. In this context, this paper first introduces and analyzes the research background, purpose, and significance of public satisfaction with public information services in smart cities. The origin, significance, and application status of smart cities are sorted out, the relationship between them is elaborated, and the overall research framework is determined. Second, the evaluation model of public management service quality of a smart city based on the fuzzy analytic hierarchy process is constructed, and the theoretical basis of this satisfaction model is elaborated. Finally, the simulation results demonstrate the effectiveness and practicability of the proposed method.

Quality of Work Life And Medical Teachers’ Commitment: A moderated mediation analysis of fear of COVID-19 and job satisfaction

This study is principally the first to test a moderated mediation model of COVID-19 fear and job satisfaction in the Quality of Work Life (QWL)-commitment relationship of medical teachers during the pandemic. The conceptual model draws its theoretical tenet from spillover and conservation of resources theories. Cluster sampling was incorporated from four metropolitan cities in India. A mixed-method research design was administered to 378 medical teachers amidst the pandemic. The partial least squares structural equation modeling (PLS-SEM) results indicate a significant positive association between the constructs. Path analyses have highlighted positive associations between QWL, job satisfaction, and affective commitment to medical institutions. Further, a partial mediation effect of job satisfaction in the QWL-commitment relationship is highlighted, adding a new dimension to past studies. Intriguingly, each of the positive associations between QWL, job satisfaction, and commitment was negated and significantly moderated by the fear of COVID-19 experienced by the medical teaching fraternity. The findings offer practical implications to the stakeholders (Ministry of Health and Family Welfare, Department of Higher Education, Government of India, and State Governments) in enriching the QWL, job satisfaction, and medical teachers’ commitment induced by psychological stress, anxiety, role conflict, post-traumatic stress disorder, and fear of COVID-19 in the global pandemic.

A Model for Clinical Coder Satisfaction in Saudi Arabia Based on a Holistic Approach: Clinical, Professional and Organizational Dimensions.

The quality of clinical coding influences not only hospital revenue but also the quality and efficiency of healthcare services. Assessing the coders' satisfaction is essential to optimizing the quality of clinical coding. This mixed-method study used a qualitative approach to propose the study model while testing the model through a quantitative approach. The relevant variables of the satisfaction model were assessed through a survey targeting clinical coders across the country on a timely basis. Fourteen experts participated in establishing the model with three dimensions: professional, organizational, and clinical. Each dimension has its relevant variables. One hundred eighty-four clinical coders participated in phase two. 34.5% were male, 61% held a diploma, 38% had a bachelor's and above, and 49.7% worked in hospitals having fully electronic health records. We found that organizational and clinical dimensions strongly correlate with coders' satisfaction. Noticeably, the most influencing variables were the availability of coding policies and the computer-assisted coding (CAC) system. The results show that the model explains the satisfaction of the clinical coders, and organizational and clinical-related variables are crucial. Although gender-based differences exist, training (regardless of the training mode), coding policies, and the CAC system substantially influence coders' satisfaction. A significant stream of the literature supports these findings. However, attempting a holistic approach to assess coders' satisfaction and affecting coding quality is the added value of this study. Optimizing clinical coding practice requires organization-wide initiatives and policies to regulate coding practices and standards to promote the quality and timeliness of clinical documentation. Training is indispensable not only for clinical coders, but physicians also need to understand the rationale and value of clinical coding. Better utilization of the outcomes of the coding process and adopting the CAC system are significant drivers to enhance coders' satisfaction.

Examining the Critical Success Factors of E-Learning Using Structural Equation Model: A Case Study on the Mandatory Use

Several researchers have studied e-learning success factors. However, there is rare research linking the success factors from the student perceptions to their data stored in the e-learning system, i.e., the student usage behavior and learning achievement. In addition, there is little research in the literature on mandatory use contexts. Thus, this study aimed to systematically examine and investigate the critical success factors (CSFs) of e-learning used for e-learning evaluation, using an e-learning system in mandatory use as a case study. The study is based on the D&M IS success model, the user satisfaction model, and success factors of e-learning systems. A structural equation model was used to analyze the data collected from 221 undergraduate students who used the system. The results indicated that e-learning success factors were information quality, system quality, instructor characteristics, diversity of assessment, system use, user satisfaction, benefits, and learning performance. In addition, system use has a highly positive and significant effect on learning performance, whereas the perceived benefits are determined by system use, instructor characteristics, information quality, and user satisfaction. Besides, instructor characteristics, system quality, and diversity of assessment had positive impact on user satisfaction. The findings provide insights to practitioners, academics, and policymakers to help them focus on factors that can be used to improve and evaluate the e-learning system. Our study contributes to the body of knowledge on e-learning system success and evaluation in mandatory use contexts.

Developing and Validating the Model of Marital Satisfaction in Pandemics and Evaluating its Effectiveness on Psychological Well-being During the Coronavirus Pandemic

Aim: This research was conducted with the aim of developing and validating the model of marital satisfaction in pandemics and investigating its effectiveness on psychological well-being being during the coronavirus pandemic. Methods: In this research, a mixed research method was used (in the qualitative part, the systematic method of grounded theory and in the quantitative part, the semiexperimental method and single-subject method with AB design). The research participants in the qualitative part were 24 married women (12 with marital satisfaction and 12 without marital satisfaction) who were selected by following the necessary criteria and the purposive sampling method until data saturation was reached. The target population in the quantitative section was married women aged 25 to 55 with children aged 6 to 13 in Tehran, 3 of whom were selected by purposive sampling and participated in the intervention. The data collection tool in the qualitative part was a semi-structured interview, and in the quantitative part, The ENRICH Marital Satisfaction (EMS) Scale (1993) and Ryff Psychological Well-being (PWB) Questionnaire (1988). The data were analyzed in the qualitative part, using the Strauss and Corbin constant comparison analysis method (in three stages of open, axial and selective coding and in the quantitative part, based on visual analysis indicators.
 Findings: Data analysis in the qualitative section led to the identification of 79 open codes and 26 axial codes and 4 selective codes including: “communication needs; Personality characteristics; social factors and behavioral strategies". After integrating the categories, the model of marital satisfaction during the coronavirus pandemic was developed and its content validity was confirmed. The results of the research in the quantitative part showed the effectiveness of the model-based intervention on psychological well-being.
 Conclusion: Based on the results of the present research, the extracted model can be used to conduct counseling interventions in the fields of couple and family to facilitate adaptation to similar crises.

Organizational assessment: An evaluation model for employee satisfaction

By Annette Bolding, Maureen Wetzel & 1 more. The purpose of the study is to explore and diagnose what affects job satisfaction has on employees' turnover intention through an organizational diagnostic model.

Incentive-based demand response modeling in a day-ahead wholesale electricity market in Japan, considering the impact of customer satisfaction on social welfare and profitability

Incentive-based demand response programs (IBDRPs) are voluntary programs that encourage customers (CUs) to cut their electricity usage during peak periods, in return for receiving incentives from the service provider (SP). This research addresses a comprehensive multi-objective modeling approach, based on maximizing the social welfare function of both SPs and CUs involved in the IBDRPs, considering both the economic drivers and the social factors affecting the market actors. The social aspect of the CUs’ participation in the IBDRPs is evaluated with respect to their satisfaction with the intangible benefits, which cannot be measured in monetary terms. To this aim, a Kano model for customer satisfaction is developed to estimate the level of CUs’ satisfaction with participation in the IBDRPs, taking into account the impact of the four attributes of comfort, flexibility, energy security, and environmental protection. The model then analyzes the proposed IBDRP implemented in the Japan Electric Power Exchange (JEPX) market, using real-time wholesale electricity prices and demand loads in the Tokyo residential areas. The results revealed that, the environmental protection attribute could more positively impact the CUs’ satisfaction level; consequently, their welfare is higher with more reduction in electricity from incentive incomes.

An athlete–referee dual learning system for real-time optimization with large-scale complex constraints

Constrained optimization (CO) has made a profound impact in solving many real-world problems. Due to the high computation burden in exact solvers, data-driven CO based on machine learning techniques is recently receiving extensive research interests for its capability to solve CO problems in real time. The existing data-driven CO approaches only serve for optimization problems with rather simple constraints that can be directly incorporated into model training. However, constraints that are computationally infeasible or burdensome to evaluate are commonly experienced in realistic optimization applications, especially in the engineering sector. This paper proposes an athlete–referee dual learning system (ARDLS) for end-to-end CO with large-scale complex constraints, where an athlete model is trained as the main optimizer while a referee model is trained as a probabilistic constraint classifier to guide the athlete training. A risk-based constrained loss function is designed to fine-tune the athlete model for constraint satisfaction. A case study on electric power system emergency control application is conducted to validate the proposed ARDLS, where the testing results demonstrate the excellent capability of ARDLS to improve the likelihood of satisfying large-scale complex constraints in CO.

The impact of student engagement on satisfaction with medical education in china: a supplementary perspective.

As one of the indicators reflecting student well-being in medical education practice, student satisfaction is no doubt an important topic. Instead of exploring student satisfaction from the perspectives of education quality and organizational factors, this study focused on student engagement to explore the impact of it on student satisfaction with medical education in China. Student engagement refers to students' actions, efforts and persistence, indicating both time and energy students invested in educationally purposeful activities, especially academic activities. The data used in this study came from the first national survey of clinical undergraduates-the China Medical Student Survey-in which 10,062 clinical medical undergraduates in 33 medical schools participated. We developed a model of medical student engagement and satisfaction and utilized descriptive statistics, ordered logit regression, and path analysis to describe the relationship between medical student engagement and satisfaction. In this study, student engagement was categorized into behavioral, emotional and cognitive dimensions. The findings showed that medical student satisfaction was relatively low and was significantly affected by student satisfaction, especially the behavioral engagement in clinical rotations and professional identity of emotional engagement. These findings could put a supplementary perspective on improving student satisfaction through student engagement, and offer notable implications for future research and practice.

The Development and Evaluation of the Interprofessional Education Facilitation Program for Health Professionals Using the Attention, Relevance, Confidence, and Satisfaction (ARCS) Model of Instructional Design.

Background It is important to learn interprofessional education (IPE) facilitation skills to promote interprofessional collaboration in healthcare. Nonetheless, to date, only a handful of IPE facilitation programs have been developed through research. Objective The objective of this study was to create an IPE facilitation program for healthcare professionals who wanted to promote interprofessional collaboration in their organizations based on the tenets of instructional design and evaluate its effectiveness. Methods This study's methodology was a mixed method based on relative subjectivism. We developed a two-day IPE facilitation program to learn IPE facilitation skills and promote interprofessional collaboration in the participants' own organizations. The program was developed based on the instructional design principles of the attention, relevance, confidence, and satisfaction (ARCS) model, measuring the participants' Interprofessional Facilitation Scale (IPFS) scores at three time points: before the first day, after the second day, and approximately one year after the course was completed. A one-way analysis of variance test was used to compare IPFS means at the three time points, and open-ended statements were qualitatively analyzed using thematic analysis. Results Twelve healthcare providers (four physicians, two pharmacists, one nurse, one rehabilitation worker, one medical social worker, one clinical psychologist, one medical secretary, and one other) participated in the completed IPE facilitation program. Their IPFS scores increased significantly from 17.4 ± 16.1 before the program to 38.1 ± 9.4 after the program and remained at 35.1 ± 11.7 for one year (p= 0.008). In addition, qualitative analysis suggested that the knowledge and skills learned in the program could be applied in the participants'workplaces, which helped them maintain their IPE facilitation skills. Conclusion We developed a two-day IPE facilitation program based on the ARCS instructional design model, and the participants' IPE facilitation skills scores increased and were maintained one year later.

Determinants Analysis of Ride-Hailing Application Acceptance: SEM - Neural Network Approach


 
 
 
 Research aim : This research aimed to develop a technology acceptance model based on innovation and marketing perspective on ride-hailing services application.
 Design/Methode/Approach : This research is an explanatory quantitative research that use a primary data which collected from 303 ride-hailing services application users with questionnaire. The methods were used in this research is SEM - neural network methods. SEM is used to analysis the significant of effect of independent variable on dependent variable while neural network is used to identify the most importance independent variable on explaining dependent variable.
 Research Finding : First, the SEM analysis result shows that relative advantage, price, promotion and distribution have an impact on user satisfaction. In intention to use variable furthermore, The only influencing variables are user satisfaction and distribution. Second, the results of neural network analysis on user satisfaction model shows that promotion is the most importance variable in explaining user satisfaction with followed by relative advantage, price and distribution. In neural network model of intention to use, user satisfaction is the most importance variable with followed by distribution.
 Theoretical contribution/Originality : With the results of this study it can be said that there is an integration of aspects of innovation and marketing in explaining application user acceptance.
 Practitionel/Policy implication : This research can be one of the considerations for the management of online transportation services to make a decision related to the service quality development, especially from the aspect of customer-based innovation and marketing.
 Research limitation : The limitations in this study are limited to use of neural networks as a machine learning method and conceptual aspects of innovation and marketing in explaining application user acceptance.
 
 
 
 

Information consolidation and repackaging for augmented reality library service: a special reference to the Layar app

PurposeThe purpose of this research is to introduce the Layar augmented reality (AR) application among library users and to understand the user’s satisfaction towards the information services provided by the Layar application with the help of the structural equation model (SEM).Design/methodology/approachAccording to Thomas (2016), action research is mainly undertaken to develop new skills or new approaches and to solve issues and problems with direct application to any applied setting. The present study helps to develop new skills and approaches to repackaging information using AR applications. Researchers have identified the question of what could be done to increase the awareness of Layar AR applications among students. Because the Layar augmented application is one of the new tools for an academic library to repackage information for mass accessibility. Therefore, in the present action research approach, researchers encompass two activities action and research. Researchers have used participatory action research methods by collecting data from 17 MBA institute libraries affiliated with Savitribai Phule Pune University. Researchers have systematically used the Layar application in the library by obtaining permission from each higher authority. Researchers have designed a Layar satisfaction model using the SEM with AMOS and SPSS.FindingsThe researcher found that the relationship between experience, performance and service quality is positively significant. The user’s experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application.Research limitations/implicationsThis study tested Layar AR application in MBA libraries affiliated with Savitribai Phule Pune University in the Pune and Pimpri Chinchwad areas.Practical implicationsThe Layar app helps the academic library to convert selected print collections into an AR feel for library users. This is an additional method of providing information services to users through mobile devices. A total of 157 students downloaded the Layar application from their handsets and provided feedback through a questionnaire. Researchers have found that the relationships between users and Layar experience, performance and service quality are positively significant. The user experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application.Originality/valueThis study examined the performance, service quality and user experience of Layar applications. Structural equation and Modelling theories were used to examine the relationship between user satisfaction and information services using the Layar application.

The influence of sustainable supply chain management, technology orientation, and organizational culture on the delivery product quality-customer satisfaction nexus

The goal of this study is to conceptualize a model for customer satisfaction that integrates sustainable supply chain management (SSCM), technology orientation (TO), organizational culture (OC), and quality of the delivery product based on natural resources and value percept theory. First, this study aims to investigate the precise relation between delivery of product quality in perfect condition and customer satisfaction (CS). It also looked into the mediating effect of SSCM, as well as the moderating effects of TO and OC. Using PLS software, this study tested hypotheses by collecting data from 350 Bangladeshi textile and apparel industries. The study's findings revealed a significant partial mediation effect of SCM. The results also showed that the positive moderation role of OC is insignificant and the negative moderating role of TO is significant. Overall, the findings will aid management in the textile industry's theoretical and practical understanding of the impact of SSCM, TO, but also OC on the link between product delivery condition and CS.

Smart pictorial dictionary via mobile augmented reality

Augmented reality (AR) technology offers many benefits for language teaching and learning. Using the AR technique in pedagogy attracts and engages children to learn and memorize easily, even in a short time. Visual representation learning method like a pictorial dictionary is one of the beginnings of learning for children. It helps children to visualize the object and memorize it in effective ways. Based on the survey conducted in one of the primary schools at Merlimau, Melaka, it was found that the children have difficulties in learning English. The development of pictorial dictionaries with the combination of AR technology in 3D that are presented in the form of mobile applications can be used to improve existing learning methods in English. The method used during the development of this application is the ADDIE model, which comes with five phases: analysis, design, development, implementation, and evaluation. The development of the ‘smart pictorial dictionary via mobile AR application has been done successfully and has received positive results. Based on the evaluation using the attention relevance confidence satisfaction (ARCS) model, the output has an overall mean of 4.58, which shows that using AR technology in early childhood learning makes children learn more.