Gap In Satisfaction Research Articles

Bilateral Data Asset Matching in Digital Innovation Ecosystems: A Regret Theory Approach

This study addresses the bilateral matching of data assets with expected levels in digital innovation ecosystems, incorporating regret-avoidance behavior. First, given the potential hesitation between two parties throughout the matching process, expressing preference information using probability hesitant fuzzy sets is reasonable. Second, the Lance scoring function best captures the gap in expectation and satisfaction between the matching parties. Based on regret theory, we develop a matching strategy that considers both parties’ utilities and satisfaction levels. We construct an optimization model to determine criteria weights using a novel Lance distance metric. Subsequently, a multi-objective optimization model is formulated to maximize satisfaction while ensuring stability in the supply–demand matching process. A numerical example underscores the suggested method's effectiveness and shows its practical applicability in data asset matching scenarios. This study advances the field by integrating psychological factors and sophisticated fuzzy set theory into the decision-making process for allocating data assets in digital ecosystems.

Household decisions and the gender gap in job satisfaction

AbstractThis paper offers a novel theoretical explanation for the gender gap in job satisfaction, where women typically report higher job satisfaction than men. We argue that rational family decisions can result in divergent job choices for women and men, leading to increased job satisfaction but lower earnings for women, even when their preferences and expectations align with those of men. We develop this explanation within a theoretical model of family household decision‐making that considers relative earnings disparities within households. We provide empirical evidence supporting our model's predictions utilizing survey and administrative data from Canada.

Exploring consumer sentiments and opinions in wine E-commerce: A cross-country comparative study

Wine e-commerce has witnessed a substantial surge in popularity over the past decade, with China, the United Kingdom, and the United States emerging as pivotal players in the global wine market. E-commerce, crucial for the food sector especially post-COVID-19, influences consumer choices through reviews and feedback, significantly affecting consumer engagement, satisfaction, trust, and purchase intentions. Despite extensive research on consumer behavior, there's a gap in understanding post-purchase satisfaction, especially within wine e-commerce. This study aims to address this by examining wine consumer feedback on leading wine e-commerce platforms in three prominent markets: China, the UK, and the US. It aims to help online wine sellers in developing targeted marketing strategies to enhance consumer satisfaction and sales in each unique wine market. Through text mining, the study reveals market-specific differences in consumers' sentiments, preferences, and aversions arising from their online wine shopping experiences, providing a detailed guide for wine producers and e-commerce platforms to optimize their products and online services.

A STUDY ON CUSTOMER SATISFACTION TOWARDS THE DIGITAL BANKING FEATURES OFFERED BY PRIVATE SECTOR BANKS

General Background: The banking industry is crucial for economic development, serving as a catalyst for growth in both agricultural and industrial sectors. As banks support modernization through financial products, they significantly impact the livelihoods of farmers and the expansion of businesses, ultimately fostering economic prosperity. Specific Background: In an increasingly competitive landscape, exemplary customer service emerges as a vital component for banks to establish trust and loyalty. Effective communication, salesmanship, and courtesy are essential attributes for bank staff, directly influencing customer satisfaction and retention. Knowledge Gap: Despite the growing importance of digital banking features, there is limited research investigating the factors influencing customer satisfaction within the private banking sector, particularly concerning the relationship between the quality of digital banking services and customer perceptions. Aims: This study aims to analyze customer satisfaction with digital banking features provided by private sector banks, identifying key factors that contribute to satisfaction or dissatisfaction. Results: Utilizing a mixed-methods approach, quantitative data will be collected through structured surveys, complemented by qualitative insights from in-depth interviews. A minimum sample size of 50 participants will be targeted to ensure statistical power and generalizability of findings. Novelty: This research addresses a critical gap in understanding customer satisfaction within the context of digital banking, emphasizing the need for continuous innovation and improvement in service delivery. Implications: By identifying key determinants of customer satisfaction, the study offers actionable insights for banks to enhance digital services, build trust, and improve customer loyalty. The findings are expected to contribute to the broader discourse on digital banking, guiding strategic decision-making in a rapidly evolving financial landscape.

Considering Race in Teacher Well-Being

Despite evidence that teachers’ professional experiences are racialized, few studies have quantitatively examined possible racial disparities in teachers’ job satisfaction. Using data from a nationally representative survey of teachers in the United States, we find that Black teachers report significantly lower job satisfaction than their White colleagues. Moreover, we find that teacher perceptions of school safety are the primary predictor of this gap in job satisfaction. We argue that centralizing race and racialized experiences in consideration of teacher job satisfaction will open new sites of inquiry in educational research and can guide educational policy to promote equity in K–12 schools.

The Role of Artificial Intelligence in Shaping the Future of Education: Transforming Teaching in the Modern World

This paper examines the need for a new education system that delivers quality education by integrating AI technology to transform traditional teaching methods. The global education system is currently confronted with critical questions about the true effectiveness and qualifications of teachers in schools and colleges. Despite formal credentials, there remains a significant gap in student satisfaction with conventional teaching approaches. This study explores the current state of teacher qualifications and student satisfaction, highlighting the increasing role of AI in education and demonstrating how AI can revolutionize the way education is delivered.

The Determinants of Countercyclical Job Satisfaction in the Public Sector

Job satisfaction is sensitive to economic fluctuations; it rises during economic growth and falls in recessions. Job satisfaction also depends on relative comparisons. For workers less affected by business cycles-as is typical in the public sector-job satisfaction may thus be countercyclical due to comparisons with other sectors. Previous laboratory results confirm this countercyclical trend. This study reports new results from the German Socio-Economic Panel confirming the overall countercyclical job satisfaction trend but also revealing this trend is present only among men, not women. We consider three possible drivers of this gender gap. Competitiveness and pro-sociality differ between men and women both in the laboratory and in the field and plausibly interact with job satisfaction countercyclicality. Another potential explanation of countercyclicality is that men are more commonly the primary household providers. We conducted an experiment to explore these three channels. The experiment replicated the countercyclical job satisfaction trend. While identifying a significant gender gap in competitiveness, pro-sociality, and job satisfaction, we found no difference in job satisfaction cyclicality between men and women, nor a correlation with these traits. Our findings suggest that the fundamental gender differences we identified in the laboratory do not drive the gender differences observed in the survey data.

Assessing Maternal Satisfaction: Patient-Centered Care, Hospital Environment, and Information-Seeking in Chanika Hospital in Tanzania.

This study examined the impact of patient-centered care, satisfaction with the hospital environment, and maternal information-seeking on maternal healthcare satisfaction in Tanzania. A total of 707 mothers who delivered at Chanika Hospital in Tanzania were surveyed using a structured questionnaire. Multiple regression analyses were conducted to identify factors related to maternal satisfaction. Only 9.9% of the participants reported that they "usually" or "always" felt involved in treatment decisions. High levels of satisfaction were found for hospital cleanliness (93.6%) and safety (94.9%). However, there was a significant gap in satisfaction regarding the adequacy of water quality for medical services, with only 8.1% expressing satisfaction. Limited use of digital platforms was observed in terms of information-seeking behavior for fetal development, with only 19.5% of the participants using the internet and 14.3% using mobile apps. Patient-centered experiences with healthcare providers, especially midwives, had a significant positive impact on maternal satisfaction (β = 0.11, p = 0.021). Other significant variables were satisfaction with the hospital environment (β = 0.25, p < 0.001) and satisfaction with hospital water (β = 0.13, p < 0.001). It is recommended that healthcare improvements focus on patient-centered experiences and water quality for drinking and medical services to improve patient satisfaction.

The Age of the Smartphone: An Analysis of Social Predictors of Children’s Age of Access and Potential Consequences Over Time

Smartphones are the principal instrument for internet access among adolescents and pre-adolescents in many industrialized countries. However, research on the long-term correlates of age at first access to these devices concerning life outcomes is scarce. This study contributes to the literature by collecting data from 3,247 Italian students in grade 10. Through OLS and logistic regressions, we investigate socio-demographics’ role in predicting the age of first smartphone access and the associations between the age of access and selected life outcomes. The moderating effect of socio-demographics on such relationships is also investigated through multiple-interaction models. Results suggest that females and students from less-educated families are more likely to receive smartphones earlier. Early smartphone access is negatively associated with adolescents’ well-functioning. Finally, deferring access reduces the gender gap in language proficiency, digital skills and life satisfaction.

Bridging Gaps: A Study on the Satisfaction Levels in Modular Distance Learning

The Philippine Department of Education adapted to pandemic circumstances by implementing various learning modalities, including Modular Distance Learning, where Self-Learning Modules serve as the primary instructional medium. As the traditional school setting undergoes a paradigm shift, parents play a crucial role as educational partners with teachers. Despite their vital role, there's a research gap in parent satisfaction with modular learning, particularly in the Indian context. This study aimed to assess parent and student satisfaction with modular distance learning, using a quantitative, descriptive research design. The study included 150 parents and 150 pupils randomly selected from grades 4-6. Findings revealed a significant difference in satisfaction levels between parents and students across areas such as learning experience, teacher assistance, module quality, school support, and overall learning quality. Parents expressed low satisfaction with the learning experience, average satisfaction with the teacher's assistance and learning quality, and high satisfaction with module quality and school support. Recommendations underscore the need for school administrators to implement enhancement programs and revisit curricula to boost satisfaction levels. This study sheds light on the evolving dynamics of education during challenging times and emphasizes the importance of collaboration between parents and schools in ensuring effective learning experiences.

Household Decisions and the Gender Gap in Job Satisfaction

Household Decisions and the Gender Gap in Job Satisfaction

Accounting for the gender gap in adolescents’ life satisfaction: evidence from nationally representative samples of school attendees in Luxembourg

ABSTRACT Research on gender differences in adolescents’ life satisfaction has reported inconsistent findings to date. The present study aimed to (a) ascertain whether a gender gap in life satisfaction exists in Luxembourg, (b) estimate the predictive power of gender when controlling for well-identified predictors of life satisfaction, and (c) assess potential gender differences in our predictors’ influence on life satisfaction. We used data from 2006 to 2022 pertaining to nationally representative samples of school attendees in Luxembourg (n = 46,937) to achieve our first research goal. We relied on data collected in 2022 (n = 9,432) to achieve our two other research goals. We found boys to consistently report higher life satisfaction than girls over time. However, gender did not predict life satisfaction when controlling for our other predictors. Moreover, the influence of most of the examined factors on life satisfaction did not vary with gender.

Study on the Consumers’ Satisfaction Extension for Self-service Technology and the Role of Demographic Characteristics in Hong Kong Fast-food Restaurants During the COVID-19 Epidemic

This study explores the effects of perceived ease of use, perceived usefulness, service speed, and perceived enjoyment on experience satisfaction and experience extension when Hong Kong fast-food restaurant consumers use self-service technology and the impact of different consumer characteristics on the degree of different experience satisfaction. Using a mixed research method, combining qualitative and quantitative methods, using focus groups and literature discussions as the collection of qualitative data, using interview questionnaires and large-scale questionnaires as the collection of quantitative data. Moreover, recovering effective data by snowballing is one of the non-probability methods. There are 315 questionnaires in total. Using the SPSS system to analyze the collected data, the results show that all factors are essential, and the relationship between each group of variables is positively correlated. Age, gender, and education level of consumer characteristics all have significant differences in experience satisfaction, while income and marital status have no significant differences in experience satisfaction. It is recommended that policymakers, technology providers, and industry work together to improve existing technologies and allow seniors to have a more inclusive experience, reduce the gap in experience satisfaction among consumers with different educational levels, and increase the satisfaction of the self-service experience of consumers with lower education levels.

The adverse impact of flight delays on passenger satisfaction: An innovative prediction model utilizing wide & deep learning

This article addresses the substantial negative influence of flight delays on passenger satisfaction and aims to bridge the research gap in understanding passenger satisfaction during delayed flights. We present a passenger satisfaction prediction model leveraging a real dataset from Kaggle. Through an examination of the interplay between individual in-flight services and passenger characteristics using the Pearson correlation coefficient and PCA-K-means clustering methods, we introduce a novel satisfaction prediction model built upon the deep learning Wide & Deep algorithm. Additionally, we employ the DeepLIFT algorithm to interpret the deep learning model and elucidate the salient features impacting passenger satisfaction, as revealed through feature importance analysis. Our findings demonstrate that the prediction model outperforms benchmark models such as MLP, SVM, and Random Forest, achieving higher accuracy. This study contributes to an enhanced comprehension of the multifaceted factors influencing passenger satisfaction following flight delays, and it offers valuable insights and recommendations for the enhancement of service quality among airline companies.

Not by bread alone: Public–private intersectoral gap in job satisfaction

The choice of a workplace, in the public or private sector, is not accidental. The paper presents a study on the public—private intersectoral gap in job satisfaction (JS). Given the observed wage premium in the private sector, it can be assumed that there are non-monetary forms of compensation for the wage loss in the public sector. They are expected to manifest themselves in job safety during periods of recession, which might affect the intersectoral gap in job satisfaction. Evaluation on panel data with fixed individual effects allows solving the problem of self-selection into a certain sector. A study based on RLMS-HSE data shows that in the period 2002—2021 the intersectoral gap in job satisfaction, as well as its elements — satisfaction with the labour contract, salary and promotion, — was generally insignificant. This does not rule out self-selection into a particular sector but explains the low level of transitions between the sectors. A significant intersectoral gap in job satisfaction is revealed for less competitive groups in the labor market during crises. This is the evidence of negative self-selection. During the COVID-19 pandemic, women, young workers (17—34 years old), and at other times, workers over 55 years old employed in the public sector rated JS significantly higher. Negative self-selection into the public sector is more likely to be attributed to specific socio-demographic groups than to the entire sector. Wage, as well as its degree in comparison to the average one in the profession in the local labor market, affects the JS of public employees to a lesser extent. This suggests that public workers are less sensitive to monetary rewards and value job safety, self-realization opportunities and a sense of usefulness of work for society more.

Electoral outcomes and satisfaction with democracy: A comparison of regional and national elections

Subnational governments have become more numerous and more powerful around the world, increasing the importance of subnational elections. However, we still know little about the impact of regional electoral outcomes on citizens' political support, and there is no systematic comparison of the impact of election outcomes on citizens' satisfaction with democracy. In this research note, we provide such a comparison by investigating how the winner-loser gap in citizens’ satisfaction with democracy differs across regional and national elections. Using data from Canada, Germany and Spain, we first show that there is a winner-loser gap in satisfaction with democracy following regional elections. The winner-loser gap at the regional level is, however, substantially smaller than the one generated by national election outcomes. Next, we find heterogeneous effects for voters who believe that the regional government strongly influences their quality of life. We conclude by discussing the implications of our findings.

Gender differences in competitiveness and fear of failure help explain why girls have lower life satisfaction than boys in gender equal countries.

Among 15-year-olds, boys tend to report higher life satisfaction than girls. Recent research has shown that this gender gap tends to be larger in more gender-egalitarian countries. We shed light on this apparent paradox by examining the mediating role of two psychological dispositions: competitiveness and fear of failure. Using data from the 2018 PISA study, we analyze the life satisfaction, competitiveness, and fear of failure of more than 400,000 15-year-old boys and girls in 63 countries with known levels of gender equality. We find that competitiveness and fear of failure together mediate more than 40 percent of the effects on life satisfaction of gender and its interaction with gender equality. Thus, interventions targeting competitiveness and fear of failure could potentially have an impact on the gender gap in life satisfaction among adolescents in gender equal countries.

Migrant and Satisfied? The Ethnic Gap in Job Satisfaction in the Italian Labor Market

Job satisfaction is a desirable outcome both at the organizational and at the individual level. Anyway, little is known about the gap between natives’ and migrants’ job satisfaction, which represents a critical issue in the light of the increasing presence of foreigner workers in the Western labor markets. In order to shed light on this issue, we estimate a number of OLS models to quantify sex-specific natives’ and migrants’ job satisfaction, by exploiting a particularly detailed Italian source of data (the Survey of Social Condition and Integration of Foreign Citizens). We find that being a migrant is not associated per se with any premium or penalty in job satisfaction. When we control for the different socio-demographic features and job characteristics of natives and migrants, it turns out that migrants are more satisfied than natives. Hence, it emerges in Italy a job satisfaction paradox based on the worker’s migratory status.

코로나19 확산 전후 삶의 만족도 영향요인의 차이 분석

The purpose of this study is to analyze changes in factors on citizens' life satisfaction before and during COVID-19 pandemic. According to the 2019 and 2021 Hwaseong-si(City) social surveys, it was found that citizen’s life satisfaction has increased during this period. However, as a result of analyzing the factors on citizens’ life satisfaction using a Ordered logit model, the influence of factors on citizens’ life satisfaction has changed. Especially economic factors(education level, income, debt status) have become more influential. This means that in the context of the spread of COVID-19, the gap in citizens' life satisfaction can be further widened by socio-economic factors. Through the results of this study, local governments will need a more meticulous approach to improve citizens’ life satisfaction in disaster situations. In a disaster situation, local governments need to closely observe changes in citizens' life satisfaction according to their socio-economic circumstances and establish flexible governance and public service delivery systems that can appropriately support welfare, medical, and health services.

Differences in Perioperative Nurse Job Satisfaction by Specialty Certification Status

PurposeTo describe differences in perioperative RN job satisfaction by specialty certification status. DesignA retrospective, exploratory, cross-sectional design. MethodsWe conducted a secondary analysis of annual data from the National Database of Nursing Quality Indicators (NDNQI) RN Survey with 12 Job Satisfaction Scales. The sample consisted of 776 perioperative units in 206 hospitals with 13,061 study participants. We used multilevel mixed modeling to examine differences in job satisfaction for nurses holding CAPA (Certified Ambulatory Perianesthesia Nurse), CPAN (Certified Post Anesthesia Nurse), CNOR (certification for perioperative registered nurses), CRNFA (Certified RN First Assistant), other specialty certification, and not specialty certified. FindingsTwelve percent of RN participants held a perioperative nursing certification (CAPA, CPAN, CNOR, CRNFA), 15% held other nursing specialty certifications, and 73% were not certified. Regardless of certification status, nurses were the most satisfied with nurse-nurse interactions and task. They were the least satisfied with nursing administration, decision-making, and pay. CNOR certified nurses reported the lowest levels of job satisfaction in the study. CAPA and CPAN certified nurses reported higher job satisfaction than their noncertified colleagues on multiple job satisfaction scales (ie, CAPA 10 of 12; CPAN 5 of 12). CNOR certified nurses did not report meaningful differences in job satisfaction from non-certified nurses. ConclusionsAs job satisfaction impacts retention, productivity, and patient care quality, our findings have important implications for hospital leaders, nurses, and health care consumers. Based on our findings, we identified nursing professional development as a potential gap in job satisfaction that leaders can target for improvement. Our findings suggest that higher specialty nursing certification rates in perianesthesia nurses may potentially improve job satisfaction and retention of nurses.