Satisfaction Research Research Articles

Living Small in the Big City Under Lockdown: Urban Amenities, Housing Conditions, and ‘Feeling Depressed Because of COVID19´ in Berlin, Germany

ABSTRACT COVID-19 restrictions affected people differently, depending on their housing conditions. This paper explores the relationship between the size of available living space and the emotion of “feeling depressed because of COVID-19.” For our survey participants in Berlin, Germany, the urban strategies of living small before COVID-19—everyday routines to cope with limited space, such as going to cafés, libraries, bars, and playgrounds—shaped this emotion. People with different housing conditions used these spaces differently, mitigating negative effects of limited living space. The lockdown of urban amenities removed this buffer. Younger people living alone were particularly affected. We conclude that understanding housing conditions requires including the broader residential context—the availability of amenities—as crucial for emotional well-being. This highlights the role of urban infrastructure beyond the narrow understanding of “consuming” amenities, which is often undertheorized in housing satisfaction research.

Sexual dissatisfaction and its association with health status among older adults in China: a nationwide study.

Background Most population-based sexual health research in China excludes older adults. To fill the gap, this study aims to characterise sexual dissatisfaction among people aged 50years or older from a nationwide, population-representative sample and to explore its association with physical, mental, and self-reported overall health indicators. Methods Data were collected as part of the China Family Panel Studies in 2020, led by the Institute of Social Science Survey of Peking University. Multivariable logistic regressions with robust estimators were used to investigate the association between sexual dissatisfaction and health indicators and potential demographic confounders. Results Among the 8222 partnered Chinese adults aged 50years or older (median age: 59, IQR: 54-66, 47% identified as women), 78% (6380/8222) reported being satisfied or very satisfied in their sex life. After adjusting for demographic variables, poor self-rated health status (aOR: 1.59, 95% CI: 1.42-1.77), experiencing depression symptoms (aOR: 2.02, 95% CI: 1.80-2.26), and having chronic diseases (aOR: 1.20, 95% CI: 1.07-1.36) were positively associated with sexual dissatisfaction in multivariable analyses. Among sociodemographic factors, younger age, female gender, and education level at senior high school or above were more likely to experience sexual dissatisfaction (all P Conclusion Based on our sample, more than one in five Chinese adults aged 50years or older might face sexual dissatisfaction. Comorbidities common in older age likely exacerbate sexual dissatisfaction. Greater attention to sexual satisfaction research and sexual health programs among older adults is needed with respect to gender differences and chronic disease comorbidities.

A Review of Predictive Factors of Student Satisfaction with Online Distance Learning: A Systematic Literature Review

From 2020 to 2023, university students worldwide experienced online distance learning (ODL), during this unique period, the satisfaction of students received extensive research attention. This study conducts a systematic literature review, selecting 68 relevant articles on ODL satisfaction factors from the Web of Science, Science Direct, and ProQuest databases. The study aims to explore research trends, influencing factors, and future agendas related to ODL satisfaction. The findings reveal that: 1). Recent research primarily focuses on Asian countries and developing nations. The most commonly used research method is quantitative, combining surveys with Structural Equation Modeling (SEM). University undergraduates are the most frequent subjects of these studies. 2). In examining influencing factors, it is found that ODL satisfaction research mainly includes five aspects: student factors, teacher factors, course factors, information technology and tools, and macro-environmental factors. Key influencing factors are concentrated on "interaction," "self-efficacy," "engagement," "motivation," "teacher quality," "course content quality," "course assessment," "information technology," and "learning management systems." These terms represent the most frequently studied factors in recent satisfaction research. 3). For future research on ODL satisfaction, researchers can further expand their studies from theoretical, technological, and practical application perspectives.

Adopting health revenue cycle management best practices among public or private healthcare providers in Saudi Arabia: a pilot study

AbstractThe new era of healthcare providers in Saudi Arabia where all covered beneficiaries will receive valued based medicine with cost effectiveness. Healthcare Transformation in Saudi Arabia: healthcare transformation is aiming to restructure the healthcare providers by Health Sector Transformation Program (HSTP) including revenue cycle management project; which is the core of our study. The literature lacks evidence of scoring systems for health revenue cycle management (HRCM) assessment in Saudi Arabia. We established a gap analysis scoring system to classify healthcare providers’ HRCM readiness. This pilot study aimed to assess the rate of adopting health revenue cycle management best practices among public or private healthcare providers in Saudi Arabia. This pilot study included ten healthcare providers in Saudi Arabia. The providers were assessed during the period from August 2022 to May 2023. The HRCM phases were: contract management, pre-service, time-of-service, and post-service. Contract management and preservice assessment revealed that all of the healthcare providers had missed some or most of their sub-major functions. For time-of-service, all healthcare providers required comprehensive gap analysis and the establishment of policies and procedures. Post-service was assessed in seven healthcare providers but was absent in three. All healthcare providers required training and the activation of reporting protocols and KPIs. Overall, the assessment revealed that one HCP had a low classification, seven had a moderate classification, and two had a high classification. All healthcare providers can be enhanced by training, comprehensive gap analysis, implementing policies and procedures with ongoing monitoring. Additionally, patient satisfaction research and the development of IT/technical solutions.

A study on the Job Satisfaction of People with Disability Government Employees with Special Reference to Lucknow: A Review

Understanding the job satisfaction of government employees with disabilities is crucial for enhancing both individual and organizational performance and well-being. However, there is limited knowledge about the job satisfaction levels among these employees and the factors that may promote or hinder it. This review aimed to investigate the existing research on job satisfaction among government employees with disabilities in Lucknow. A systematic and thorough review of 13 relevant studies was conducted. The findings revealed that government employees with disabilities generally report lower levels of job satisfaction. Additionally, it was discovered that both the characteristics of the employees and the work environment play a role in job satisfaction, along with social relationships, support, and the alignment between employees' needs and their work settings. There are opportunities to enhance policies and practices regarding the employment of individuals with disabilities. To boost their job satisfaction, we recommend a comprehensive approach that recognizes job satisfaction as a combination of personal, situational, and socialcognitive factors. Future studies on job satisfaction among people with disabilities could benefit from insights gained in the broader job satisfaction research, while also considering elements that are particularly significant for this group, such as the effects of comparison processes and the establishment of effective measurement techniques. Ultimately, it is crucial to advocate for greater understanding and participation of individuals with disabilities in career-related issues to promote their self-determination, motivation, and overall satisfaction.

Identifying authorial roles in research: A Kano model-based bibliometric analysis for the Journal of Medicine (Baltimore) 2023.

The landscape of research roles within academic journals often remains uncharted territory, with authorial contributions frequently reduced to linear hierarchies (e.g., professor and assistant professor). The Kano model, traditionally used in customer satisfaction research, offers a nuanced framework for identifying the multifaceted roles of authors in scholarly publications. This study utilizes the Kano model to dissect and categorize the roles of authors in the medicine field. To conform to the hypothesis, China is the research leader while the US is the research collaborator, as reflected in the publications of the journal of Medicine (Baltimore) in the year 2023. We conducted a comprehensive bibliometric analysis of all research articles published in the journal of Medicine (Baltimore) in 2023. The Kano model was applied to classify authors into 5 categories reflective of their research roles: followers, leaders, partners, contributors, and collaborators. Data on author publications and co-authorship networks with multi-author rates (MARs) were analyzed to assign Kano categories based on the authorship positions of first and corresponding authors. Descriptive statistics and network analysis tools were used to interpret the data, including radar plots, geographical maps, and Kano diagrams. The analysis covered 1976 articles, uncovering a complex network of author roles that extends beyond the conventional binary distinction of lead and supporting authors (i.e., leading, and following researchers). A research leader in China and a collaborator in the US were conformed to support the hypothesis, based on their publications (1148 vs 51) and MARs (12.20% vs 19.61%). The Kano classification was visually adapted to classify authors (or entities) into 5 categories. The combined choropleth and geographical network maps were illustrated to identify author roles in research briefly. The Kano model serves as an effective tool for uncovering the diverse contributions of authors in medical research. By moving beyond the lead and follower dichotomy, this study highlights the intricate ecosystem of authorial roles, emphasizing the importance of each in advancing knowledge within the field of medicine. Future application of the Kano model could foster a more collaborative and inclusive recognition of contributions across various disciplines.

Quality of care and patient satisfaction: Future trends and economic implications for the healthcare system

AbstractThe healthcare system is a fundamental pillar for the economy of any country. One of its main goals is to reach an adequate effectiveness of medical care so that certain levels of well‐being are achieved. In recent years, healthcare has experienced important changes to take into account quality of care and patient satisfaction as the drivers of effectiveness and financial performance. In this sense, it is specifically important to bring together in a single document all aspects that participate in the quality of care and patient satisfaction relationship. The purpose of this paper is to analyze, organize, and synthesize all the theories, methodologies, factors, and variables that conform to this relationship. To achieve that, a systematic literature review of 90 articles is performed. The main contributions of this paper are to reveal all factors and aspects relevant for the quality of care and patient satisfaction binomial, and the classification of impactful articles, methodological and theoretical approaches, leading journals, and variables of interest that exist in quality of care and patient satisfaction research. Eventually, important research gaps and further research lines are highlighted.

The Effect of Job Satisfaction on the Performance of Saudi EFL Elementary School Teachers in Taif City

The increasing number of incapable elementary school students failing to achieve learning outcomes is attributed to their teachers’ low performance, indicative of a lack of ability or willingness to teach according to prescribed standards, stemming from teachers’ job dissatisfaction. Thus, this study will discuss the relationship between Saudi English as a Foreign Language (EFL) elementary teachers’ job satisfaction and their job performance and how job satisfaction influences performance. The field of job satisfaction research is international. However, few studies have been conducted in the Saudi contexts, while the existing literature does not adequately describe job satisfaction among Saudi elementary teachers. This study, which was conducted in Taif, Kingdom of Saudi Arabia will fill that gap by examining the job satisfaction of Saudi EFL elementary school teachers and its relationship to their work performance. It is a mixed-methods study where the data will be gathered in two different ways: a questionnaire and a semi-structured interview. Thus, this study will employ both quantitative and qualitative methods. The participants will include 111 Saudi EFL teachers teaching at the elementary level. The questionnaire that has been created consists of three dimensions. The first dimension is general information about the participants. The second and third dimensions of the questionnaire are developed by Werang et al. (2017b). Then, the interview will be conducted with three participants from the same sample. (2017b). The research finding indicates that there is a positive relationship between teachers’ job satisfaction and their performance.

How Selective Mobility, Social and Ecological Influence may Impact Geographic Variations in Life Satisfaction Scores: An Australian Longitudinal Study

The spatial clustering of life satisfaction scores noted in recent empirical research suggests that ‘happier’ people may live in specific neighbourhoods or regions. This prompts the questions: Do ‘happier’ people choose to move to specific places? Does living in specific places make people ‘happier’? To answer these questions, this paper explores possible occurrences of selective mobility, and social and ecological influence. Using panel data collected in Australia from 2013 to 2021, we examine the association between life satisfaction scores and selective geographic mobility, and the possible influence that living at specific locations may have on individual life satisfaction trajectory, while controlling for individual personality traits and socio-demographic factors. Our results indicate that urban residents reporting lower life satisfaction scores before the move have a higher probability of moving to a rural area. Similarly, lower life satisfaction scores are associated with a higher probability of moving to a region with a different climate. We also find evidence that moving from the city to the country is associated with an uplift of the life satisfaction trajectory for the individual. A similar conclusion is reached for people who moved to a warmer climate, but not for a move to a cooler climate. To our knowledge, this is the first time the concepts of selective mobility and social and ecological influence have been applied in life satisfaction research. Our work provides an indicator that can be important to demographers predicting population movements. It can also inform policy development around assisting regional and rural areas attract/ retain residents to support regional sustainability.

Qualitative Analysis of English as Foreign Language (EFL) teachers’ Job Satisfaction in Ningxia, China

Job satisfaction is the positive expressive feedback and attitudes workers have toward their jobs. It is viewed as a very significant issue within all types of establishments. But there is limited research exploring job satisfaction in the educational context, and as such, there is a deficiency in the understanding of the issues that particularly affect university English as Foreign Language (EFL) teachers’ perceptions about their job satisfaction. Therefore, this study explored, within the precinct of Herzberg (1959) theory, the EFL teachers job satisfaction in Ningxia, China. A purposive sampling design was used to select 10 informants chosen from Ningxia in China while series of in-depth interviews were conducted and data analyzed thematically using NVIVO software. The study analysis, assessed job satisfaction through multiple facets that revealed job satisfaction as depending basically upon what the university English as a Foreign Language (EFL) Teachers in Ningxia, China gets from their job. Thus, it is recommended that the management of university where English as a Foreign Language are taught should set in motion strategies to sustain the current situation. Similarly, future researchers should extent the focus of job satisfaction research to low socioeconomic countries in relation to intrinsic values.

A study on satisfaction evaluation of Chinese mainstream short video platforms based on grounded theory and CRITIC-VIKOR

In recent years, Chinese short video platforms have experienced vigorous development, accompanied by increasing expectations and demands from users. This study aims to explore the factors influencing user satisfaction on mainstream Chinese short video platforms and provide a scientific and objective evaluation framework to support the enhancement of user satisfaction and the development of short video platforms. Through a combination of qualitative and quantitative research methods, multiple mainstream Chinese short video platforms were evaluated and analyzed. Firstly, semi-structured interviews with users were conducted using Grounded Theory to delve into the key factors shaping users' expectations, needs, and satisfaction towards short video platforms. Secondly, the CRITIC-VIKOR method was employed to assign comprehensive weights to various factors and to evaluate the satisfaction levels of the mainstream platforms. The study revealed that the core categories affecting user satisfaction include content quality and interaction, trust and values, and user experience. The weighted values of the main categories are as follows: interface and interaction design 0.124, personalized experience 0.115, platform stability and performance 0.075, privacy and security 0.133, user service and communication 0.060, social impact and values 0.124, content quality and diversity 0.088, social interaction 0.094, and advertising experience 0.186. Furthermore, the satisfaction evaluation of mainstream short video platforms indicated that bilibili platform garnered the highest user satisfaction among surveyed users. This study provides specific directions for improving user experience and enhancing user satisfaction for short video platforms, while also offering a evaluation framework based on Grounded Theory and CRITIC-VIKOR method for similar studies, thus expanding the theoretical and practical fields of user satisfaction research.

RETRACTED: An improved IPA approach driven by big data and its application to customer satisfaction research of energy-saving appliance

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Citizen Satisfaction Research in Public Administration: A Systematic Literature Review and Future Research Agenda

This study presents a systematic review of the 122 studies on citizen satisfaction in the field of public administration. The research aims to identify the current state of knowledge on citizen satisfaction by drawing on existing empirical results and conceptual arguments, highlighting research gaps, and developing a heuristic framework to guide future research. Based on a literature search of 12 major public administration journals, our findings indicate that citizen satisfaction has gained significant academic attention as a performance measure to monitor and assess public service delivery, particularly at the local level. Despite substantial scrutiny in diverse research contexts, quantitative studies still predominate, mainly using secondary survey data in their research. Furthermore, we observed an absence of an agreed-upon definition for citizen satisfaction and an over-emphasis on the expectancy-disconfirmation model to explain the satisfaction process, highlighting the need for scholars to move beyond the performance-expectation dyad. While reviewing a set of environmental, organizational, and individual-level antecedents and outcomes, we noticed few scholars have considered the effects of moderating variables on citizen satisfaction. As such, our paper concludes by identifying a few underexplored research themes that could facilitate knowledge-building regarding citizen satisfaction.

Understanding Customer Satisfaction Factors: A Logistic Regression Analysis

Background: In the dynamic landscape of modern business, understanding customer satisfaction is crucial for success and competitiveness. This research intends to analyze the various elements that affect customer contentment, concentrating on the impact of demographic characteristics, economic inclinations, and involvement in loyalty programs. Methods: Employing logistic regression analysis, this research analyzes data collected from a diverse customer base across various industries. The study explores the relationship between customer satisfaction (binary dependent variable) and key independent variables, including age, income level, and loyalty program participation. Model validation is conducted through the Hosmer-Lemeshow test, along with the assessment of model fit using Cox & Snell and Nagelkerke R² metrics. Multicollinearity is checked using the Variance Inflation Factor (VIF). Results: The logistic regression model reveals that age and income level significantly influence customer satisfaction, with younger customers and individuals with greater income levels being more probable to report satisfaction. Additionally, participation in loyalty programs emerges as a strong predictor of customer satisfaction. The model demonstrates good fit and predictive ability, as indicated by statistical tests and graphical analyses, including an ROC curve and a Predicted Probability Plot. Conclusions: The research offers significant understanding into the determinants of customer satisfaction, highlighting the importance of demographic factors, economic status, and loyalty programs. These findings offer both theoretical contributions to the field of customer satisfaction research and practical implications for business strategies focused on customer engagement and loyalty.
 
 Received: 17 November 2023 / Accepted: 17 February 2024 / Published: 5 March 2024

Getting what you expect: How civil servant stereotypes affect citizen satisfaction and perceived performance

AbstractThis study tests whether civil servant stereotypes affect how citizens experience public service delivery. Using a pre‐registered survey vignette experiment (n = 1130), we activate civil servant stereotypes (negative, positive, or control) and assess whether this affects subsequent perceptions and evaluations of public services. Results indicate that stereotypes shape experiences, with the activation of negative stereotypes leading to lower levels of satisfaction and perceived performance, compared to positive stereotype activation and control. These findings emphasize that negative civil servant stereotypes can have problematic consequences, and contribute to our understanding of the commonly used Expectancy Disconfirmation Model in citizen satisfaction research.

A Quantitative Study on Factors Influencing User Satisfaction of Micro-Mobility in China in the Post-Sharing Era

In the post-sharing era, the evolution of the shared micro-mobility industry has transitioned from expanding market share to providing precise services. The focus on user satisfaction has shifted from a singular emphasis on functional utility to diversified product values. Product perceived value has emerged as a comprehensive factor for enhancing user satisfaction, aiding companies in formulating precise services, mitigating urban resource wastage, and promoting sustainable urban development. From the perspective of product perceived value, this study combined the analysis of factors affecting user satisfaction of shared micro-mobility and the interaction between these aspects and carried out the following two studies. Research No. 1: By mining the user review data on app platforms related to shared micro-mobility and adopting the latent dirichlet allocation (LDA) algorithm, we have initially identified 17 major factors affecting the satisfaction of users and summarized these factors into four research topics constituting product perceived value. Research No. 2: On the basis of Research No. 1, the content of the American Customer Satisfaction Index (ACSI) was expanded, and a user satisfaction research model focusing on the perceived value of shared micro-mobility products was constructed. Afterwards, by using the data collected in questionnaire surveys, structural equation modeling (SEM) was used to model the user satisfaction of shared micro-mobility through SEM, which was deployed to establish an empirical analysis. It is found that (1) both user expectation and product quality can positively affect the perceived value of products through interactive experience; (2) factors such as user expectation, product quality, interactive experience, and subjective consciousness can positively affect user satisfaction through the perceived value of products, with user expectation delivering the greatest influence; and (3) subjective consciousness has a direct positive effect on users’ willingness to continuously use a product but no significant effect on user satisfaction. These findings expand the user satisfaction theoretical model in the field of shared micro-mobility, constitute suggestions for product development and service promotion in the shared micro-mobility industry, and can provide new ideas and methods for the sustainable development of urban transportation.

The Role of Self-Determination Theory in Explaining Patients' Motivation to Continue Using Telemedicine in a Post-Pandemic World

COVID-19 has led to a considerable increase in telemedicine use by physicians and patients. However, usage is expected to decline post-pandemic despite the benefits in terms of convenience, reachability, accessibility, and cost. We are investigating antidotes to this supposed decline from the patient’s perspective: Which psychological needs and motivations may increase the patient’s satisfaction with telemedicine and her or his continuance intention? Our research combines the well-known Expectation-Confirmation Model (ECM) from satisfaction research with motivation antecedents and outcomes according to Self-Determination Theory (SDT). We developed and shared a self-administered questionnaire in online health communities. A patient sample (n = 464) participated in the survey. A subsample (n = 151) had experiences with medical teleconsultation or similar medical applications, whereas other patients (n = 313) with teleconsultations in administration, business, or education only. Overall, both subsamples reveal almost the same results. Perceived usefulness (e.g., time-saving and quick access to healthcare treatment) is the most important continuance intention predictor. However, psychological needs from SDT (e.g., perceived competence and perceived relatedness) also determine motivation, satisfaction, and continuance intention. The combination of ECM and SDT appears to lay the foundation for improved research for digitalized healthcare delivery. Further, both subsamples demonstrate high satisfaction with telemedicine. Nevertheless, telemedicine providers and marketers should carefully optimize the patient journey while minimizing patient waiting time and focus on understanding users’ health needs to differentiate their services in the market.

Research of psychological well-being and life satisfaction among the youth of Astana and Akmola region

Research of psychological well-being and life satisfaction among the youth of Astana and Akmola region

Multi-Dimensional Analysis of Japanese Telemedicine Patient Satisfaction.

Telemedicine is a growing segment of the healthcare industry. As telemedicine gains prominence in Japan, the importance of telemedicine patient satisfaction research will also grow. This study examines whether Japanese patients are equally impacted by the same latent dimensions discovered in the multi-dimensional service satisfaction model used by a United States (U.S.) study. The subjects (n = 110) were patients who received telemedicine service between January and December 2023 at Juntendo University Hospital, Tokyo, Japan. Patient satisfaction perceptions were collected using a questionnaire composed of Likert scale items. Overall patient satisfaction served as the dependent variable, and patient perceptions of various aspects of the service were the independent variables. LASSO regression analysis was used to test the impact of the independent variables on overall patient satisfaction along with cluster analysis to examine the satisfaction ratings based upon patient characteristics. Japanese patient perceptions of telemedicine health benefits were the most impactful driver of overall satisfaction. Cluster analysis indicated that males were generally more satisfied than females. The least satisfied patients were predominately female and those experiencing telemedicine for the first time. Patients receiving service from a specialist physician were least satisfied with the telemedicine financial costs. Patient satisfaction levels were found to be highly impacted by perceptions of the health benefits received and the non-financial costs of service. These benefits could be highlighted by Japanese telemedicine providers to increase utilization of telemedicine services. Patient satisfaction was also found to be influenced by patient-centered care (ie, the "soft skills" of providers) to a lesser degree. Therefore, Japanese telemedicine providers may benefit from developing patient-centered communication skills. The model used provides nuanced understandings of telemedicine patient satisfaction, which highlights where targeted improvements in Japanese telemedicine patient satisfaction are likely to be most impactful.

Exploring sources of patient dissatisfaction in mobile health communication: A text analysis based on structural topic model.

Understanding online patient dissatisfaction is essential for improving the quality of healthcare services, patient satisfaction, and physician career development. This study is the first to apply the structural topic model to patient satisfaction research based on patient online reviews from a mobile health communication platform, revealing eight negative topics of patient concerns. These topics include under-explored areas such as "go to the hospital for check-ups," "incomplete counseling," and "language expression." Additionally, we incorporated the doctor's title as a covariate in the model to examine how specific topics varied across different conditions. The results indicated that higher-titled doctors were more likely to receive complaints about the cost of treatment and whether the question was answered, whereas lower-titled doctors were more likely to receive complaints related to physician's knowledge, incomplete counseling, and response speed. This study not only enhances our understanding of mobile health services but also provides targeted insights for healthcare providers to improve their services, thereby contributing to the advancement of patient-centered care.