Civil Aviation Customer Satisfaction Automatic Evaluation System

In 2021, the airline industry was affected by COVID-19, and many airlines suffered losses. The main reason for the loss were the decline in revenue and the surge in costs. Therefore, in terms of creating the competitive advantage of airlines, "price war" is no longer applicable, and improving service quality has become an effective means. Customer satisfaction is the most effective indicator to measure service quality. In this study, a satisfaction evaluation system is established based on structural equation model and customer satisfaction importance matrix. Then, a questionnaire is designed to analyze the influence of different factors on customer satisfaction. The research finds that brand image and perceived quality have a great impact on customer satisfaction. In addition, some suggestions for airlines to improve customer satisfaction are given. © 2023 SPIE.

Self-Directed Learning Predicts Online Learning Engagement in Higher Education Mediated by Perceived Value of Knowing Learning Goals

Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand the effect, based on situated expectancy-value theory, this study considered SDL as attitude and approach and constructed a research model to explore the mediating power of perceived value of knowing learning goals (PVKLG) related to participants' online learning engagement during the COVID-19 lockdown. Data were collected from 497 higher education students in China. After the confirmatory factor analysis with structural equation modeling, the results reported that SDL attitude and approach positively predicted learning engagement mediated by PVKLG. The results suggest that only when students have a high level of PVKLG will they be able to regulate their learning process through the two types of SDL and enhance their engagement in online learning contexts during the COVID-19 lockdown.

Investigating Factors That Influence College Students' Online Continuous Learning Intention during COVID-19 Epidemic

This study aims to explore university students' continuous intention toward online learning during COVID-19 pandemic. A total of 120 students enrolled in online learning were surveyed to collect their perception of an extended model by adding task value to the expectation-confirmation model. Structural equation modeling was employed to verify the hypotheses proposed in this study. The results indicated that task value and technology usefulness were significant predictors of students' continuous intention toward online learning. More specifically, technology usefulness had a direct impact on students' continuous intention, while students' perceived task value played an indirect role in the prediction of their continuous intention. However, the impacts of both confirmation and satisfaction were not statistically significant on students' continuous intention. The results suggest that practitioners and researchers should pay special attention to the technological usefulness of online learning environments and task value, especially task value, in order to enhance students' retention of online learning. This study would contribute to implications to better design and implement online learning. © 2023 IEEE.

A Structural Equation Model to Analyze the Effects of COVID-19 Pandemic Risks on Project Success: Contractors' Perspectives

The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors' perspective. To achieve this, we collected data from Iraqi construction industry and conducted the following multistage research methodology: (1) preliminary investigation with four construction contractors to identify the success indicators of construction projects;(2) focus group session with 11 experts to identify the COVID-19 emerging risks for the construction industry;(3) semistructured interviews with seven construction experts to develop several hypotheses on the effect of COVID-19 emerging risks on project success;(4) survey data collection from 99 construction contractors;and (5) development of a structural equation model (SEM) to analyze the effects of COVID-19 emerging risks on project success. The results of the SEM analysis show that financial market (FM)-related risks, supply chain operations (SCO)-related risks, health and safety of construction workforce (HSCW)-related risks, organizational implications (OI)-related risks, and contractual implications (CI)-related risks have a significant impact on construction projects success. CI-related risks have the strongest total effects on project success, followed by OI-related risks, FM-related risks, HSCW-related risks, and SCO-related risks, respectively. The results also emphasis the significant mediation role of CI between COVID-19 emerging risks and project success. This study contributes to the body of knowledge and contracting companies by helping researchers and construction contractors to better understand how the key risk factors emerging from extreme conditions like the COVID-19 pandemic affect construction projects' success and may serve as a guideline for developing effective response strategies. © 2023 American Society of Civil Engineers.

The Effects of the COVID-19-induced Lockdown on the Social Capital and Cultural Capital in Italy.

The present study investigated the effects of the first COVID-19 lockdown on the Cultural and Social Capitals in Italy in a large group of adults (n = 1125). The relationships between the COVID-19 spread and participants' Cultural Capital, Social Capital, educational level, occupational prestige, and age were studied using structural equation models. For women but not for men, pandemic spread was positively affected by occupational prestige and it had a positive relationship with their Social Capital (women: CFI = 0.949; RMSEA = 0.059 [CI = 0.045-0.075]; men: CFI = 0.959; RMSEA = 0.064 [CI = 0.039-0.087]). Moreover, the participants were divided into three validated clusters based on their Cultural and Social Capitals levels to investigate changes in the Capitals compared with the pre-lockdown period. It was found that the lockdown contributed to improving the gap among individuals increasing high levels and decreasing low levels of both the Capitals. People with high Cultural and Social Capitals seemed to have seized the opportunity given by COVID-19 restrictions to cultivate their cultural interests and become more involved within their networks. In contrast, individuals with low Cultural and Social Capitals paid the highest price for the social isolation. Given that the Capitals encourage healthy behavior and influence well-being and mental health, institutions should develop or improve their policies and practices to foster individual resources, and make fairer opportunities available during the pandemic. Supplementary Information: The online version contains supplementary material available at 10.1007/s11205-023-03140-7.

The role of traditional aspects, health consciousness and environmental concerns in Italian agri-food consumption during Covid-19

PurposeThe study investigates how consumers' food purchasing habits changed during the Covid-19 pandemic in Italy. The research aims to understand if traditional aspects, health consciousness and environmental concerns have influenced and changed the purchases of food products post-pandemic.Design/methodology/approachThe authors developed a theoretical model to understand whether health consciousness, traditional aspects and environmental concerns affect consumers' purchasing intention. The study collects secondary data to analyse state of the art and investigate consumer behaviour in the agri-food system after the pandemic. Thereafter, a survey was conducted via a convenience random sampling procedure. The data (n = 622) were analysed using the formulated research framework and tested through the structural equation modelling procedure.FindingsThe findings reveal that health consciousness and traditional aspects (culinary traditions, ingredients usage from one's territory of origin, products' origin attention) are among the main reasons for purchasing agri-food goods after the pandemic. Instead, environmental concerns negatively affect consumers' purchase intentions.Originality/valueThe study identifies which aspects influenced consumers' purchasing intentions after the Covid-19 pandemic. It also provides insights for food companies and policymakers on the factors to be improved to optimize the agri-food sector following a sustainable perspective and in order to develop effective business strategies.

Job Satisfaction and Negative Coping Style Affect the Relationship between Transition Shock and Intent to Stay among Newly Graduated Nurses during the COVID-19 Pandemic

Aim. The study is aimed at exploring the relationship between newly graduated nurses' transition shock, negative coping, job satisfaction, and intent to stay during the time of COVID-19. Background. The shortage of nurses is a global dilemma aggravated by the COVID-19 pandemic. It has been a hot topic in recent years to help newly graduated nurses transition smoothly. Transition shock is one of the essential indicators to describe the transition state of newly graduated nurses, which has a far-reaching impact on the intention of newly graduated nurses to stay in their posts. However, few studies have studied the mechanism behind this relationship, which may affect the effectiveness of retention strategies. Methods. A descriptive cross-sectional study was conducted from July to August 2021 in 31 tertiary hospitals in Shanghai, China. Participants comprised a convenience sample of 759 newly graduated nurses for surveys. Structural equation models were used to examine the study's hypothetical model. Results. The results showed that transition shock had a significant direct effect on job satisfaction (b = −0.412, p<0.001) and intent to stay (b = −0.145, p<0.001). Job satisfaction had a significant direct effect on intent to stay (b = 0.702, p<0.001). The indirect effect of transition shock on intent to stay through job satisfaction was statistically significant (b = −0.289), the 95% C.I. was (−0.493, −0.357), and the proportion of mediating effect to total effect was 66.59%. Moreover, the moderated mediation analysis showed that the interaction effect of transition shock and negative coping style on job satisfaction was significant (b = −0.082, p<0.001). Conclusion. This study revealed the impact of transition shock on intent to stay of newly graduated nurses during the time of COVID-19, and found that job satisfaction played a mediating role and negative coping played a moderating role. These findings are of great significance for nursing managers to take measures to improve the intention of newly graduated nurses to stay. Implication for Nursing Management. The level of transition shock is an important indicator reflecting the transition state of newly graduated nurses, and can further predict the job satisfaction and intention of newly graduated nurses to stay. Therefore, nursing managers should pay attention to taking corresponding measures to reduce the level of transition shock of newly graduated nurses.

The Influencing Factors of Learning Satisfaction in Blended Learning during Covid-19 in Chinese medical universities

By using a technology acceptance model (TAM) on survey results collected from medical universities of China, this paper aims to uncover the major factors that affect medical students' acceptance of blended learning during the Covid-19 period. 1238 medical students completed the study survey after experiencing 3 months of blended learning. The results show that the social influence (SIN) and perceived ease of use (PEOU) have positive impacts on perceived usefulness (PU);PU has positive impacts on learning motivation (LM);LM can moderately affect learning satisfaction (LS). There is also a positive relationship between SIN and LS. It is worth noting that SIN as an intermediary factor directly affects PEOU, PU and LS. In fact, SIN is considered the key factor that affect student satisfaction of blended learning during Covid-19. © 2022 IEEE.

The influence of supply chain risk management in healthcare supply chains performance

The challenges imposed by the business environment increasingly obligate supply chains to seek lower costs while maintaining high service levels. Healthcare supply chains face additional challenges since their main indicator is to save lives and provide care, nonetheless, keeping the revenue flow to support the activities. The covid-19 pandemic evidenced that a severe rupture in healthcare chains generates rupture in all other supply chains. In this sense, our paper has the objective of presenting a conceptual healthcare supply chain performance framework empirically validated by structural equation modelling. Our survey data were processed through the covariance-based structural equation modelling method, adopted for assessing the causal connection among the constructs. The paper revealed a relationship of supply chain integration, supply chain risk management, and supply chain 4.0 (antecedents) with healthcare supply chain performance (consequent). The literature contributions of this paper are (i) developing and validating a new scale for each construct;(ii) finding evidence of the causal relationships between the factors;(iii) measuring how the constructs influence the healthcare supply chain performance in both public and private healthcare sectors and providing discussion and tools to improve these results;(iv) this work empirically tested a theoretical framework;(v) the study reveals that the sector (public or private) has a moderating effect on all the constructs. Furthermore, the results of this study help to address some literature gaps identified by scholars having the potential to serve as a guide to organisations that are willing to implement these practices. Lastly, we recommend that HC supply chain managers consider the implementation of robust initiatives regarding SCRM, SCI, and SC40. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Factors That Affect the Effectiveness of Management Accounting Software

This study aims to examine the suitability of the conceptual model regarding the effect of business strategy, user competence, organizational structure on the Effectiveness of Management Accounting Software (MAS), and how the influence between the variables studied during the Covid 19 Pandemic took place. Quantitative methods are used to test the suitability of the proposed model and to determine the predicted effect between the variables studied. The data were tested using Covarian Base Structural Equation Model (CB-SEM) with Lisrell 8.5 software. This study uses primary data collected through questionnaires to a population of 118 State-Owned Enterprises (SOEs) Management Accounting departments in Indonesia, with a selected sample size of 100 SOEs, which were selected using a simple random technique. The results of this study succeeded in confirming the conceptual model developed by the researcher and empirically proving the influence of business strategy on MAS Effectiveness, user competence on MAS Effectiveness and organizational structure on MAS Effectiveness in Indonesian SOEs companies. The effectiveness of MAS depends on the relevance of the needs of its users. The right business strategy, effectively provides relevant information for the company to design MAIS according to user needs, so that the company's operational activities run effectively and efficiently, the company is able to implement a Cost Reduction Strategy through production cost savings, production process accuracy, implementing product differentiation and low pricing strategy with a focus on customer needs during the Covid-19 pandemic. The results of this study contribute to producing strategic management accounting information to anticipate business continuity during and after the Covid 19 Pandemic and to help overcome the crisis due to the Covid 19 pandemic in the early stages of the Covid 19 Pandemic by optimizing business strategy, organizational structure, and company HR competencies. © 2022 IEEE.

How do the causal structures of noise annoyance and sleep effects change under the significant decrease in aircraft noise

Many models have been proposed to clarify the interactive effects of acoustic and non-acoustic variables on human perception of noise. Due to the corona pandemic, all flights were closed at the end of March 2020, causing an unprecedented change in the acoustic environment around Tan Son Nhat Airport (TSN). Before the outbreak, TSN was the busiest airport in Vietnam and had severe noise problems. This study focused on determining how acoustic and non-acoustic factors affect community health before and after this change. Approximately 1200 responses were obtained from surveys conducted in 12 residential areas around TSN in 2019 and 2020. Structural equation models (SEM) for noise annoyance and insomnia were developed by linking the questionnaire items of the social surveys. The first effort aims to achieve a common model of noise annoyance and insomnia corresponding to community response to noise before and after the change. It has been found that the degrees of annoyance and insomnia were not reduced, as expected, but increased in 2020. The final constructed SEM indicates that acoustic and non-acoustic factors affected the community health in different structures before and after the noise reduction. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.

Factors Influencing Intention to Enroll in The Online Academic Year among Undergraduate Students in the Philippines during the COVID-19 Pandemic

The COVID-19 pandemic has resulted in the loss of the number of enrollees at universities in many developing countries, including the Philippines. The current study integrated the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) to determine factors affecting intention to enroll in the online academic year among undergraduate students during the COVID-19 pandemic. 370 Filipino undergraduate students filled the online survey, which contained 71 questions. The Structural Equation Modeling (SEM) indicated that attitude, subjective norms, and perceived behavioral control had significant direct effects on perceived usefulness which subsequently led to an engagement. Regarding the perceived ease of use, SEM indicated that it had a significant direct effect on perceived performance. Furthermore, SEM also indicated that perceived performance and engagement had significant direct effects on perceived effectiveness which subsequently led to the intention to enroll. The integrated TPB and extended TAM can be extended and applied in evaluating the behavioral motives of students to enroll in the online academic year globally that are currently affected by the COVID-19 pandemic. © 2022 ACM.

The Role of Gender in Moderating the Effect of Teachers Empathy, Reputation and System Quality on Student Satisfaction Online Learning Program

Over the past few years, technology adoption in education has increased significantly. Most universities like to invest in modern forms of learning, therefore it can be seen for the rapid growth of e-learning. This study aims to determine a comprehensive model in determining online learning student satisfaction during the Covid-19 pandemic with the role of gender as moderation. The sample in this study was 239 Binus Online Learning students. The data analysis technique in this study used a structural equation model (Structural Equation Modeling, SEM) with SmartPLS 3 software. The results of this study found that instructor empathy, higher education reputation, and system quality had a significant influence on student satisfaction, especially in the context of online learning on Binus Online Learning which simply used high technology to support the Learning Management System. Gender has no role in moderating exogenous to endogenous constructs in this research model, so it can be said that the technology used in Binus Online Learning has high student satisfaction because the system is good enough to carry out online learning. © 2022 IEEE.

Determining the Factors that Affect Resistance to Digital News Subscription During the COVID-19 Pandemic

The subscription of digital services has increased due to the COVID-19 pandemic. However, this was not the same for digital news subscription which remained low. Therefore, this study looks to study the factors that influence the resistance to digital news subscription during the COVID-19 pandemic. In order to achieve this, the Innovation Resistance Theory was applied. Data was collected through an online survey that yielded 199 responses. Based on the results of the data analysis, two out of the five barriers were revealed to have insignificant relationships with resistance. With that said, value barrier, risk barrier, and image barrier were established as significant facilitators of resistance. Several insights were then proposed to news media companies. Moreover, this study fills the theoretical gap of comprehending the antecedents of resistance on digital news during the COVID-19 pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Learning linear non-Gaussian directed acyclic graph with diverging number of nodes

An acyclic model, often depicted as a directed acyclic graph (DAG), has been widely employed to represent directional causal relations among collected nodes. In this article, we propose an efficient method to learn linear non-Gaussian DAG in high dimensional cases, where the noises can be of any continuous non-Gaussian distribution. The proposed method leverages the concept of topological layer to facilitate the DAG learning, and its theoretical justification in terms of exact DAG recovery is also established under mild conditions. Particularly, we show that the topological layers can be exactly reconstructed in a bottom-up fashion, and the parent-child relations among nodes can also be consistently established. The established asymptotic DAG recovery is in sharp contrast to that of many existing learning methods assuming parental faithfulness or ordered noise variances. The advantage of the proposed method is also supported by the numerical comparison against some popular competitors in various simulated examples as well as a real application on the global spread of COVID-19. ©2022 Ruixuan Zhao, Xin He, and Junhui Wang.

Research on Consumers' Purchase Intention of Taobao Live E-Commerce Platform

With the impact of the novel coronavirus on the global economy, the role of live e-commerce as an engine to drive economic and social development has become more and more prominent. In order to further promote the positive development of Taobao Live platform, this article uses SOR theory, multi-dimensional factors such as "people, goods and venues"as stimulus variables, introduces perceived value and perceived risk as mediating variables, and demographic characteristics as moderating variables to construct a model of consumers' purchase intention on Taobao Live e-commerce platform and put forward corresponding hypotheses, and uses SPSS 26.0 and AMOS 24.0 to analyse 223 questionnaires collected to study the influencing factors of consumers' purchase intention and provide corresponding suggestions. The study shows that: consumer perceived value and perceived risk have significant effects on consumer purchase intention;anchor professionalism, consumer herd mentality and situational factors have significant effects on consumer perceived value;anchor professionalism, consumer impulsive traits and herd mentality have significant effects on consumer perceived risk;some demographic characteristics play a moderating role in the process of perceived value and perceived risk on consumer purchase intention. © 2022 ACM.

Detecting the Effect of Internet Skill and e-Leadership on the Productivity of Working from Home

Covid-19 has caused organizations to implement remote work arrangements as the best alternative to limit the spread of the Corona virus. The ability of employees in utilizing internet and also the ability of supervisors in leading work unit remotely are hypothesized as two major factors on work from home (WFH) productivity. This study uses a survey-based quantitative approach to prove the three developed hypotheses. It about 113 governmental employees who have been involved in this study. Perceptual responses were structured using the Structural Equation Modeling and processed using the SmartPLS version 3.3.9 application. The results explain that personal capability of supervisors in utilizing internet as well as in leading work unit is a pivotal matter which determined work productivity and also development of internet skill of governmental employees. © 2022 IEEE.

Information Overload and Presented Lifestyle in Social Media: A Stress-Perspective on the Effects on Mental Health

To counteract the increasing number of people showing symptoms of depressive disorders since the outbreak of COVID-19, among others, the WHO suggests using social media more intensively to stay in contact and receive positive messages. However, existing literature indicates that this can have the opposite effect. Based on social comparison theory and technostress literature, we examine the impact of the constant confrontation with the overly optimistic presented lifestyle of social media influencers on Instagram on depression. Our quantitative study (N=191) based on structural equation modeling indicates that influencers' presented lifestyle has a substantial positive indirect effect on depression mediated through negative emotions. In contrast, positive self-esteem can help to reduce depression. We contribute to technostress literature, research on social comparison, and mental health research.1 © 2022 ACM.

Research on user satisfaction of sports and healthcare integration system in post-pandemic era

After COVID-19, some initiatives such as Healthy China, and Smart Living have been widely mentioned. This study explored the factors influencing user satisfaction in sports and healthcare integration services to help system builders and interaction designers better seek opportunities and directions for systems construction. Based on grounded theory method, conducted semi-structured interviews with people who have home exercise needs, and then summarised the influencing factors after coding the raw information level by level. It applied the user experience honeycomb to classify potential variables, used principal component analysis (PCA) to extract representative evaluation indicators as observed variables, and followed the construction of a theoretical model of the satisfaction factors. The structural equation model (SEM) was validated and analyzed to prove its scientific validity and reasonableness. Research showed that the core factors affecting the user experience of sports and healthcare integration system include usefulness, interactivity, usability, credibility, and findability, all of which have a positive and significant impact on user satisfaction. According to the results of empirical analysis, A multidimensional design strategy for sports and healthcare integration system is proposed to provide a reference for improving user satisfaction. © 2023 - IOS Press. All rights reserved.

The mediating role of scientifical-medical satisfaction between COVID-19 conspiracy beliefs and vaccine confidence: a two-waves structural equation model.

Vaccine confidence has emerged as one of the most relevant psychological factors implied in the worldwide affecting the fight against COVID-19-as well as public trust in doctors, medicine, and science. Indeed, the vaccine confidence is crucial to maximize the trust in vaccines and their use for prevention, with several implications for public health. This study aimed to analyse the relationships among between vaccine confidence, conspiracy beliefs about COVID-19, and satisfaction with science and medicine in handling the COVID-19 pandemic. A longitudinal observational survey was administered to a convenience sample (n = 544; mean age 52.76 y.o., SD = 15.11; females 46.69%) from the Italian general population. A two-waves mediation model-a structural equation model technique-was used. The survey was part of a larger international project ( https://osf.io/qy65b/ ). The model highlighted that the conspiracy beliefs about COVID-19 had a negative effect on the satisfaction with medicine and science (ß = - 0.13, se = 0.03, p < .001). The latter, in turn, had a positive effect on vaccine confidence (ß = 0.10, se = .05, p < .001). Interestingly, the effect of conspiracy beliefs on vaccine confidence was completely mediated by the scientifical-medical satisfaction (ß = - 0.02, se = 0.01, p < .05). These results highlight how the scientifical-medical satisfaction can fully mediate the relationship between conspiracy beliefs about COVID-19 and vaccine confidence. These findings about vaccine hesitancy and confidence and disclose have implications for psychological and social interventions that could promote vaccine confidence by targeting the satisfaction with science and medicine.