Level Of Satisfaction Research Articles

Hollman Facilitations: a user-friendly tool of supporting children with visual impairment and their families in daily life

The Robert Hollman Foundation (RHF) designed “Hollman Facilitations” (HF), a user-friendly way of supporting children with visual impairment (VI) and their families on a daily basis. This tool consists of specifically designed pictures on simple A4 sheets, which highlight with images and captions the key aspects of these children's everyday lives. Professionals can easily modify Hollman Facilitations to customize them to the unique developmental needs of every single child with VI and to their individualized strengths and weaknesses. This type of support acts as a reminder, to help families keep in mind what is essential for their children with VI in everyday life. HF are also useful for professionals because they give a clear, at-a-glance overview of visually impaired children's needs, helping their communication with their families. In order to understand the perceived effectiveness of this tool, a questionnaire was designed and sent to 49 families, asking their opinions and satisfaction levels regarding its clarity, adequacy, usability and usefulness. 36 parents answered reporting overall very high satisfaction levels. A second questionnaire was sent to 29 RHF professionals to collect their opinions regarding HF usability and usefulness and the majority of them was very satisfied of its use in their daily work. This data supports overall this tool, which can be also easily replicated and also potentially used in other settings, beyond the field of visual impairment.• HF support children with VI and their families substantially and works as a reminder of what the professionals found in their consultations, to be fundamental for the children to promote the use of their functional vision and their strengths and to consequently improve the quality of their daily lives• HF favour a better communication between health professionals and families of children with VI, sharing therapeutic indications through the adoption of a customized, user-friendly, everyday tool by integrating pictures and text with oral communication• HF help professionals to identify strategies that best promote the overall development of children with visual impairment and to express them in an understandable way

Assessing public satisfaction of public service application using supervised machine learning

The COVID-19 pandemic has enormously affected the economic situation worldwide, including in Indonesia resulting in 30 million Indonesian tumbling into penury. The Ministry of Social Affairs initiated a program to distribute social assistance aimed at the poorest households. ‘Aplikasi Cek Bansos’ is a public service application that aims to validate their status towards the social assistance program. Understanding the public sentiment and factors affecting public satisfaction levels is crucial to be performed. The goal of this study is to perform a comparative study of supervised machine learning to learn the sentiment of the public and the dominant variable resulting in public satisfaction. Support vector machine, Naïve Bayes dan K-nearest neighbor (KNN) are performed to seek the highest accuracy. This experiment discovered that the KNN algorithm produced outstanding performance where the accuracy hit 99.21%. Sentiment prediction indicated negative perception as the majority covering 83.81%. Trigrams analysis is performed to learn themes affecting satisfaction levels toward the application. Negative themes are grouped into the following categories: App instability, hope for improvement, navigation issues, and low-quality content. Some recommendations are offered for the Ministry of Social Affairs and developers, to overcome negative feedback and enhance public satisfaction level towards the application.

Undergraduates’ experience and satisfaction of massive open online course in Malaysia

<span lang="EN-US">While massive open online course (MOOC) is gaining popularity, studies have shown how negative user experience of the learning platform can lead to issues related to poor learning performance. OpenLearning, as the official national coordinated MOOCs program for higher education institutions in Malaysia, is still considerably gaining momentum in this country, thus much can still be observed in the usability aspect of this platform from the student’s perspective. This study aimed to evaluate the aspects of user experience and learning satisfaction of MOOC OpenLearning involving undergraduate students in a public university in Malaysia. Data were gathered through the online survey method which adapted questions from the user experience questionnaire (UEQ) and the usefulness, satisfaction, and ease of use (USE) questionnaire. Descriptive analyses revealed moderate positive levels of user experience and learning satisfaction towards MOOC OpenLearning among the respondents. Furthermore, there was a significant positive correlation between both factors, suggesting the importance of considering user experience as the key factor in enhancing students’ satisfaction with MOOC. Recommendations arising from the students’ perceptions and concerns on the usability aspect contribute towards developing strategic guidelines for enhancing students’ learning experiences, especially during circumstances that necessitate effective online learning strategies.</span>

Modern successful global solutions in environmentally friendly urban delivery and their application in Ukraine

Nowadays the issue of reducing environmental pollution is on the agenda of all countries. Among the areas that have huge negative consequences for nature, logistics and supply chains take their place. Today, there are many concepts and scientific currents that recognize the need to account for the environmental component in urban logistics. Environmental aspects are used when evaluating the efficiency of investment projects, developing new models of vehicles, calculating taxes and insurance payments, and when searching for the best delivery schemes. The goal of the work. Taking into account the world experience in research on the chosen topic, the purpose of this study is to consolidate the world's successful experience in environmentally friendly urban delivery and assess their applicability in Ukraine. Technologies and methods that allow reducing the negative impact of motor vehicles on the environment include: The technology of off-peak delivery, which allows you to improve the speed mode of the car. With off-peak delivery, the probability of traffic jams is minimized, which makes the speed of movement the maximum permissible in the city (and, accordingly, the most environmentally friendly). Although night delivery is currently not possible in Ukraine due to the curfew, late and early delivery is still available, allowing you to successfully bypass traffic jams. Use of consolidation centers. The economic idea of consolidation of freight transportation is to use the effect of scale - the greater the carrying capacity of the vehicle, the lower the specific costs for transportation of a unit of production. Currently, the construction of the consolidation center is being evaluated from the point of view of the impact of the supply chain on the environment. At the same time, the existence of a consolidation center near or within the city allows to organize delivery by vehicles with zero or low level of environmental pollution. Use of Parcel Delivery Lockers. Delivery lockers are usually installed in places where the maximum flow of residents is concentrated, which makes it possible to create additional comfort for users due to the possibility of choosing the point closest to their own home or place of work. This method eliminates up to two thirds of harmful emissions into the air. The number of post machines and the area covered by them increases year by year, which allows us to talk about the success of this technology. According to the results of 2022, such major players of express delivery as "Nova Poshta" (now “Nova”), "Ukrposhta" and "Meest" will continue to work with post delivery lockers in Ukraine. Use of more environmentally friendly types of transport. The use of hybrid, electric or non-motorized vehicles is increasingly used in last-mile logistics. Electric vehicles, mopeds, two- or three-wheeled bicycles with a large trunk or cargo body can be considered environmentally friendly types of urban logistics. Such vehicles have practically zero emissions of harmful substances, they are much more maneuverable and do not require a lot of space for unloading, loading and parking. Implementation of zones with low (zero) air pollution. Zones with zero or low emissions have long been used in developed countries. There are no generally accepted technologies for calculating the territory that requires restrictions on the movement of transport, as well as for calculating the cost of such movement. Usually it depends on the will of the local authorities, the wishes of the residents and the well-being of the region. Prohibition on the use of motor vehicles. Some local authorities introduce a complete ban on the use of motor vehicles within certain parts of the city. Usually these are historical centers with dense buildings and a large number of tourists. Sometimes such drastic measures are combined with night delivery technology. If this is not possible, the only alternative is delivery by small, usually two- or three-wheeled, zero-emission vehicles. Improvement of traffic management. Competently designed organization of road traffic can reduce the pressure on the environment. The use of an intelligent transport system in smart cities allows you to perform important tasks like detection of transport accidents; automated control of the ramp, traffic lights and parking, etc. Improvement of road conditions. This refers to the quality of the road surface, markings, cleanliness of the road surface, etc. Improvement of road conditions indirectly affects the improvement of environment of the region. Summing up the results of the research, successful global practices in environmental friendly urban logistics are highlighted, which are applied and have prospects for application in Ukraine. It was concluded that there is a huge potential of using world experience in urban logistics of Ukraine. This will bring Ukrainian logistics and urban supply chains to a new level, increasing the level of health and general satisfaction of the citizens.

Guided web app intervention for reducing symptoms of depression in postpartum women: Results of a feasibility randomized controlled trial

BackgroundChile faces a significant postpartum depression prevalence and treatment gap, necessitating accessible interventions. While cognitive-behavioral internet-based interventions have proven effective in high-income countries, this field is underdeveloped in Chile. Based on the country's widespread use of digital technology, a guided 8-week cognitive-behavioral web app intervention named “Mamá, te entiendo” was developed. ObjectiveThis study aimed to assess the acceptability and feasibility of “Mamá, te entiendo”, for reducing depressive symptomatology in postpartum women. MethodsSixty-five postpartum women with minor or major depression were randomly assigned to either intervention or waitlist. Primary outcomes centered on study feasibility, intervention feasibility, and acceptability. Semi-structured interviews with a sub-sample enriched the understanding of participants' experiences. Secondary outcomes included mental health variables assessed at baseline, post-intervention, and 1-month follow-up. ResultsChilean women displayed great interest in the intervention. 44.8 % of participants completed the intervention. Participants reported high satisfaction and engagement levels, with interviewees highlighting the value of the intervention's content, exercises, and therapist's feedback. However, preliminary efficacy analysis didn't reveal a significant interaction between group and time for outcome measures. DiscussionThis research represents a pioneering effort in Chile to evaluate an internet-based intervention for postpartum depression symptoms. The demonstrated feasibility and acceptability highlight the potential of integrating technology-driven approaches into mental health interventions. However, the intervention did not demonstrate superiority, as both groups exhibited similar positive progress in several outcomes. Therefore, the following research phase should involve a larger and more diverse sample to assess the intervention's effectiveness, identify influencing factors, and determine the individuals who benefit the most.

Expert system for diagnosing learning disorders in children

Given the urgent need for early detection of learning disorders such as dysgraphia, dyslexia, and dyscalculia in children, this study aimed to evaluate an expert system developed in Python to facilitate early diagnosis of these disorders. The background highlights the importance of providing parents, educators, and health professionals with an effective tool for early detection of these disorders. In 21 simulated cases, the system showed impressive performance with an accuracy rate of 95%, a precision of 100%, a sensitivity of 93%, and a specificity of 100%. Furthermore, the acceptability evaluation, conducted with 15 parents selected by convenience sampling, showed a high level of satisfaction, with an overall mean of 4.78 and a standard deviation of 0.45, indicating consistency in responses. In conclusion, this study confirms the effectiveness of the expert system in the early diagnosis of learning disabilities, providing parents, educators, and health professionals with a valuable tool. Despite these encouraging results, the need for additional research is recognized to address limitations and improve the external validity of the system to ensure its widespread utility and adaptability in real clinical settings.

Fluttering into Fluent English: Building an Interactive Voice-Based AI Learning App for Language Acquisition

The rapid progress in technology has transformed the way people learn languages, offering students innovative tools to improve their skills. SpeakBuddy is built using the Flutter framework and utilizes Azure Speech AI for speech functionalities. Speak Buddy incorporates various features, such as interactive conversation practice, detailed lessons covering vocabulary, grammar, and pronunciation, fun games, and AI-powered voice assistance. The app's creation involved several design cycles where feedback from language experts and user testing was used to ensure it was easy to use and effective. Continuous assessments were conducted to evaluate the app's usability, performance, and impact on language learning outcomes. The results showed high levels of satisfaction among users, who reported feeling more confident and proficient in spoken English after using the app. A key feature of Speak Buddy is its ability to provide instant feedback on pronunciation, helping students improve their speaking skills.

Modeling Dynamic Consumer Preferences in Product Attributes for Social Media-Based Product Improvement Planning

Consumer preferences for products change over time. The changes in consumer preferences are not just related to the level of importance of the attribute but also dynamics in the attribute itself. Previous studies generally employed the pre-determine attribute to measure the level of importance of the attribute. However, the pre-defined attributes approach has a problem in that new consumer attributes are not captured, resulting in misleading product development. Therefore, this study proposes a method to identify dynamic attributes and the level of importance of the attribute for product development without pre-determined attributes and unsupervised. A case study on the airline industry demonstrates the proposed method. Attribute changes are assessed using latent Dirichlet allocation to identify topics related to product attributes and sentiment analysis to evaluate satisfaction levels. Furthermore, the association rule approach is used to label unsupervised product topics. A total of 222,959 tweets related to the airline industry from 2015 to 2018 were collected and analyzed to demonstrate changes in consumer preferences over time. The results indicate that the proposed method effectively explores the dynamic of product attributes and critical attributes and provides valuable strategies for developing product or service improvement. The proposed method has also been validated and is in line with the successful innovation strategies of an Indonesian airline.

An Examination of Diverse Facets Related to the Creation of Medicine Exchange Platform

Abstract: This review paper evaluates the effectiveness of MedHelp, a medicine exchange platform designed to address medication scarcity by facilitating the exchange of surplus medications among individuals. Through a comprehensive examination of MedHelp features, user feedback, and regulatory compliance, the study finds that MedHelp effectively increases medication accessibility, reduces waste, and improves health outcomes within the community. Despite facing challenges such as regulatory constraints and technical issues, MedHelp demonstrates high levels of user satisfaction and positive impact on health outcomes. Future directions for MedHelp include integration with healthcare providers, expansion to new geographical regions, and enhancement of security and privacy features. Overall, MedHelp plays a crucial role in addressing medication scarcity and promoting healthcare equity, highlighting the importance of ongoing efforts to maximize its impact and reach

AI-Powered Autonomous Checkout System for Retail Stores

Abstract: Auto Bill offers a smart, automated checkout service for shops, leveraging state-of-the-art machine learning and computer vision technologies to provide an exceptional shopping experience. Designed to minimize interactions for security purposes during the pandemic, the innovation lies in utilizing modern techniques like image processing and weight sensors to create a novel shopping experience. This system aims to surpass traditional weight scales by incorporating advanced image recognition technologies, benefiting customers with a highly user-friendly interface, reduced checkout times, and improved accessibility. With a multifaceted approach involving deep learning neural networks and a web-based interface for transactions and inventory monitoring, Auto Bill envisions a future where retail checkout is taken to new heights. Supermarkets adopting this system can enhance customer service throughits advanced machine learning and camera technology, offering a seamless shopping experience. By integrating easily with existing POS systems, this solution streamlines operations and improves overall efficiency in the retail industry. With continuous testing and adjustments, Auto Bill aims to refine retail checkout to unprecedented levels of accuracy and customer satisfaction.

Title- Digital Ad-fluence: Unravelling the Influence of Online Ads on Consumer Inclinations

Abstract: This dissertation investigates the influence of online advertising on consumer inclinations and purchasing behaviour in the digital age. As marketing efforts increasingly shift toward digital platforms, understanding the complex dynamics between online advertisements and consumer decision-making processes has become crucial. The study aims to unravel the intricate relationship between these two elements, providing insights into how online ads shape consumer preferences, attitudes, and purchasing decisions. The research employs a mixed-method approach, combining quantitative data from a survey of 100 respondents with a qualitative review of relevant literature spanning the past 10-20 years. The survey data offers valuable insights into consumers' perceptions, attitudes, and experiences with online advertising, while the literature review provides a comprehensive understanding of the theoretical underpinnings and empirical findings from prior research. Through factor analysis, the study identifies three key dimensions that collectively explain a significant portion of the variance in consumer behaviour toward online advertisements: the influence of price discounts, satisfaction and engagement levels, and the visual appeal of advertisements. These findings shed light on the critical factors that drive consumer responses to digital marketing campaigns. The dissertation contributes to the growing body of knowledge in digital marketing and consumer behaviour, offering practical implications for businesses and marketers seeking to navigate the ever-evolving landscape of online advertising. By uncovering the underlying mechanisms through which online ads influence consumer inclinations, this research provides valuable insights for developing effective digital marketing strategies that resonate with target audiences and contribute to business success in the digital era

Impact of dealer profitability on dealer satisfaction: A context of Indian automobile industry

The purpose of this study is to explore critical factors that defines the level of satisfaction and bond of relationship between Automobiles companies and their dealerships. Indian Automobile Industry is one of the world’s fastest growing Industry and the success of Auto companies is largely depend on their robust and healthy dealer network. In this paper, we attempt to identify critical factors which can influence the relationship of Manufacturer and Dealers. The research is based on a survey carried out in Pune region of Maharashtra, where we focused on identified critical factors of mutual relationship. It was also noted that new age Auto dealerships owners are looking forward for relationships beyond just return on Investment. Using statistical data analysis, we also attempt to identify most critical factors that can influence Dealer-OEM relations. These factors were return on Investment, Future growth potential, Support from OEM team, Involvement in policy decision making and supply of quality product. The results also indicate the roles and responsibility of an OEM in building strong relationship with its dealers to improve the sales.

User and service provider assessment of technology readiness of library commons in selected universities in Ghana

PurposeThis study assessed the technology readiness of library commons in selected universities in Ghana from the perspectives of both clients and service providers.Design/methodology/approachA sample survey research design was used to carry out the study, and the study consisted of quantitative and qualitative approaches. The data were collected from 157 of the 430 commons’ users and six library directors/commons librarians, using a questionnaire and an interview schedule respectively. The quantitative data were analysed using descriptive statistics and inferential analysis with SPSS Ver. 22, and structural equation modelling with AMOS Ver. 23.FindingsThe study found significant relationships between the availability of learning resources and users' experience, use and satisfaction with the commons. Additionally, there were significant relationships between the readiness of the commons, users' perceptions and their satisfaction levels. The library/commons managers identified key preparedness issues, including inadequate planning and poor space allocation. Furthermore, the study revealed negative feelings among library/commons managers, such as insecurity, resistance and low confidence.Practical implicationsThe academic libraries in Ghana should evaluate their commons following the findings of this study, and use other readiness implementation tools to identify and address the gaps in their implementation of the commons.Originality/valueThis study was based on the opinions of the users and operators of the commons and focused primarily on technology-related factors. However, it is essential to evaluate other readiness factors, such as change and services, and institutional factors, using frameworks such as Hess and Ostrom’s (2005) Institutional Development Framework, to provide complementary results that can guide better implementation of the commons and improve the quality of services.

Factors Influencing on Job Satisfaction of Secondary School Teachers in Karachi Pakistan

Teachers are role models for their students and considered an asset of any nation's educational system because of their impact on students' personal and intellectual development. The objective of this research is to examine the perspectives of public secondary school teachers in district central Karachi regarding their level of job satisfaction through a simple survey technique. 120 secondary school teachers, including 50 male and 70 female teachers, were selected using simple random sampling. In terms of frequencies, percentages, means, and standard deviations, the data were analyzed using descriptive technique. The results revealed that at the secondary level, teachers were found to be extremely motivated and satisfied for their teaching practices. However, they required a higher level of job satisfaction regarding advantages and benefits, followed by working conditions and physical facilities. The study suggested that pay and benefits, working conditions, and physical facilities should be a priority of administration and policymakers for enhancing teachers' job satisfaction, which ultimately enhances teaching /learning and quality of education.

Parents’ View of Child-Friendly Cities Initiative: The Case of Mersin

This study is about the Child-Friendly Cities Initiative, which was carried out in 2014 and 2015 in Türkiye. A child-friendly city is a concept that responds to the needs of children, who represent the future of cities, to develop healthily, to feel happy and free, and to develop physically, mentally, and socially in the city they live in. Child-Friendly Cities Initiative started in 10 municipalities in 2014, to intervene in the difficulties faced by disadvantaged children and adolescents in urban areas in Türkiye. In this study, the situation in Mersin, which was within the scope of the project in 2014-2015, is discussed from the parent's perspective. Six parents living in Mersin are included in the scope of the research. Parents' awareness and satisfaction levels, together with their expectations, regarding the child-friendly city project carried out in the city are measured through in-depth interviews. Five main objectives of the Child-Friendly Cities Initiative are determined as a framework for preparing the interview questions. These goals are (1) the right of children to enjoy basic facilities such as health, education, and nutrition, (2) the right to be heard, (3) the right to be valued, respected, and treated fairly, (4) the right to be safe, and (5) the right to spend quality time with family, have free time and play games. The data is analyzed using descriptive analysis. The findings showed that most of the parents were not aware of the child-friendly city project carried out in partnership with the municipality and UNICEF in Mersin, but they could still define Mersin as a “child-friendly city”. Parents' expectations from similar projects in the future focus on health, education, nutrition, and security components. Keywords: child-friendly cities initiative, children's rights, Mersin, Türkiye

Measuring the Effects of an Anti-Food-Waste Digital Application from the Operators’ Perspective in Urban Contexts

This paper presents an empirical study focused on the use of TooGoodToGo smartphone applications by urban food retailers and HoReCa sector owners, evaluating their satisfaction levels with using this app and identifying the most relevant business levers that might convince other operators to adopt anti-waste programs and more sustainable behaviors. To this end, a survey questionnaire is administered to a sample of respondents. Data are statistically analyzed using the Kruskal–Wallis test to consider the different perspectives of the identified subsamples. The results reveal that business operators claim to have a high level of satisfaction with exploiting the service provided by the app and that it is a lever for increasing the number of customers served, even if there is not a high positive effect on revenue. However, retailers with more years of operations, who can be considered more experienced, can better exploit the opportunities of the TGTG business. This study contributes to a better understanding of the benefits of using web application services to decrease waste from urban food retailers. Consequently, levers for convincing new operators to adopt the service and their role in increasing customer awareness are identified and discussed.

The development of a serious game for laser applications in dentistry and the evaluation of dental students' satisfaction

BackgroundThis study aimed to design and implement a gamified application about the theoretical aspects of laser applications in dentistry and investigate students' satisfaction with their learning experience.MethodsAn engaging educational program named Essential Skills and Knowledge in Learning Laser (ESKILLD) was developed to teach laser applications in dentistry. The program comprises two primary components: a “Tutorial and Quiz” section and a “Games” section. Final-year dental students were tasked with installing and using this application. A 29-item validated questionnaire (Cronbach's alpha = 0.97, ICC = 0.94) was used to evaluate students' perceptions of the applications' design and functionality. The influence of participants' gender and Grade Point Average (GPA) on their satisfaction levels was examined via the student t-test and Pearson's correlation, with a significance level of 0.05.ResultsThe study had 56 participants, of which 37 were female (66.07%), and 19 were male (33.92%). The students' average GPA was 15.16 out of 20. The mean rating for ESKILLD's design and functionality was 1.39 ± 0.47 and 1.37 ± 0.46, respectively, signifying a high satisfaction level. Female students rated the application's coherence and learning perception significantly higher than their male counterparts (p < 0.05). However, gender did not significantly influence scores on other perception aspects or overall scores. Students' GPAs and their perception scores did not have a significant correlation.ConclusionsThe results indicate that the participants were generally satisfied with the game's features and attitudes towards it, which underscores the potential effectiveness of gamification in dental courses focused on laser applications.

Ready-to-use abobotulinumtoxinA solution versus powder botulinumtoxinA for treatment of glabellar lines: Investigators' and subjects' experience in a Phase IV study.

Botulinum neurotoxin type A (BoNT-A) is well-established for treatment of glabellar lines (GLs), and mostly formulated as powders requiring reconstitution for injection. The approved liquid formulation, ready-to-use (RTU) abobotulinumtoxinA was developed to ease injection procedures and prevent reconstitution errors. This multicenter, open-label, Phase IV study evaluated GL treatment experience using RTU abobotulinumtoxinA versus powder BoNT-A (onabotulinumtoxinA). Females with experience of BoNT-A facial treatment were randomized 2:1 to GL treatment with 50 U RTU abobotulinumtoxinA (N = 99) or 20 U powder BoNT-A (N = 51) and followed-up for 6 months or 1 month, respectively. Assessments included: time to prepare each product for injection (primary endpoint); investigators' experience with product preparation/reconstitution; investigators' and subjects' treatment experience; safety; and for the RTU product: aesthetic improvement of GLs; subject satisfaction. Compared with powder BoNT-A, RTU abobotulinumtoxinA required statistically significantly less preparation time (mean 0:33 vs. 1:34 min: s; p < 0.0001). Investigators preferred RTU abobotulinumtoxinA over powder BoNT-A (81% of treatment sessions) and found it allowed more time to communicate with subjects (97%). All investigators (100%) also found it easy-to-use, easy-to-learn, and that it fulfilled their expectations. Subjects found the RTU abobotulinumtoxinA treatment comfortable (91%), and through 6 months posttreatment, most reported satisfaction with their appearance (≥88%), looking natural (≥95%) and refreshed (≥80%). At Month 1, 99% of RTU-treated subjects had investigator-assessed improved aesthetic appearance in GLs, maintained in 76% at Month 6. No serious adverse events occurred. RTU abobotulinumtoxinA for GL treatment is well-tolerated, efficacious, shows high levels of subject satisfaction throughout 6 months, saves time, and is preferred by clinicians over powder BoNT-A. NCT05277337.

The Job Satisfaction Paradox: Pluralistic Ignorance and the Myth of the “Unhappy Worker”

American media coverage of the “Great Resignation” may have contributed to a belief that job dissatisfaction is widespread in the United States, even though surveys show relatively high and stable levels of job satisfaction among American workers. Using data from the 2023 Quality of Employment Survey, we investigate whether individuals’ beliefs about job dissatisfaction mirror empirical evidence or align more with media portrayals of widespread discontent. While most study participants expressed personal job satisfaction, over half believed that the majority of Americans were not at all satisfied, indicative of pluralistic ignorance—a phenomenon involving a collective misperception about a group’s norms or beliefs. Dissatisfaction beliefs were more common among remote workers and those with fewer work friendships. Moreover, believing in widespread job dissatisfaction was associated with lower organizational commitment, controlling for personal job satisfaction. We discuss the role of pluralistic ignorance in reconciling personal experiences with contrasting media representations of work and the economy.

Identifying protective factors related to burnout, moral injury, and resilience of registered nurses: An exploratory analysis

AbstractNursing leadership continue to grapple with the pre‐existing social, physical, spiritual, and emotional toll experienced by the nursing workforce, further exacerbated by the pandemic. The three‐fold purpose of this current quantitative study was to measure the impact of the pandemic on nurses’ levels of burnout, moral injury, and resilience; measure levels of compassion satisfaction, and secondary traumatic stress; and identify protective factors against burnout and moral injury that could bolster resilience. An electronic survey was created using three validated instruments and sent to nurses in one US state. Bivariate and multivariate analyses were performed. Survey response rate was 5.5%. Respondents reported high levels of burnout and moral injury, and reduced levels of resilience. Protective factors included age, experience, education, and religion, with the older, more experienced, and educated nurse who identified as Christian being found to represent the most protected group. Multipronged strategies are needed to support, sustain, and recover nurses’ mental health across demographics to meet current and future workforce needs.