Service Quality and Its Impact on Customer Satisfaction and Loyalty in Airline Industry: Partial Least Square (PLS)-Structural Equation Modelling (SEM) Approach.

This quantitative paper aims to measure the service quality of airline service perceived by Pakistani customers, and its impact on customer satisfaction and loyalty. Partial Least Square Structural - Equation Modelling (PLS-SEM) was used to measure the relationship. It used a self-administered questionnaire by incorporating AIRQUAL measurement model. Respondents (n=168) who have travelled from Pakistan to Malaysia were sent questionnaire through social media. Convenience sampling technique was used, and the results revealed that Airline Tangibles, Personnel Services, and Image have a positive and significant relationship with Customer Satisfaction whereas Empathy and Terminal Tangibles showed an insignificant relationship with Customer Satisfaction. Results also showed a strong positive relationship between Customer Satisfaction and Customer Loyalty. Moreover, the management of airlines and airport services need to reconsider the services they provide to their customers who are travelling from Pakistan to Malaysia

The Impacts of Emotional Intelligence on Students’ Study Habits in Blended Learning Environments: The Mediating Role of Cognitive Engagement during COVID-19

Emotional intelligence is a main area in educational psychology and a key factor in the academic life of students. It deals with deviant behavior through self-awareness and self-motivation, regulates emotional and social skills, and converts emotional energy into positive energy. This study examined direct and indirect relationships between emotional intelligence and study habits in blended learning environments. Blended learning is conceptualized as a hybrid learning approach that combines online learning opportunities and the traditional classroom approach. Furthermore, the study explored the mediating role of cognitive engagement in the relationship between emotional intelligence and study habits. We used 26 items in a paper-based questionnaire in a quantitative study to collect data on emotional intelligence, cognitive engagement and study habits from health sciences students (N = 338) enrolled in blended learning courses in universities in the Hunan province of China. Emotional intelligence included self-awareness, self-motivation, and the regulation of emotion; social skills were also examined. A partial least squares structural-equation modeling approach was applied through SmartPLS software to explore the relationships. The results indicate that self-awareness and self-motivation have direct, significant, and positive connections with study habits. Similarly, the results indicate that all four dimensions of emotional intelligence (self-awareness, self-motivation, emotion regulation and social skills) had indirect, significant, and positive relationships with study habits using cognitive engagement as a mediator variable. It was concluded that students face higher-than-usual challenges in building study habits in blended learning environments during the COVID-19 pandemic, and that emotional intelligence helps them to develop their study habits to greater effect. Similarly, it was concluded that cognitive engagement strengthens the connection between emotional intelligence and study habits. Therefore, it is recommended that universities take specific measures to enhance students’ emotional intelligence and cognitive engagement, which will ultimately improve their study habits. Moreover, valuable and practical implications for teachers, practitioners, and university management were also discussed in the study

The Impacts of Emotional Intelligence on Students’ Study Habits in Blended Learning Environments: The Mediating Role of Cognitive Engagement during COVID-19

Emotional intelligence is a main area in educational psychology and a key factor in the academic life of students. It deals with deviant behavior through self-awareness and self-motivation, regulates emotional and social skills, and converts emotional energy into positive energy. This study examined direct and indirect relationships between emotional intelligence and study habits in blended learning environments. Blended learning is conceptualized as a hybrid learning approach that combines online learning opportunities and the traditional classroom approach. Furthermore, the study explored the mediating role of cognitive engagement in the relationship between emotional intelligence and study habits. We used 26 items in a paper-based questionnaire in a quantitative study to collect data on emotional intelligence, cognitive engagement and study habits from health sciences students (N = 338) enrolled in blended learning courses in universities in the Hunan province of China. Emotional intelligence included self-awareness, self-motivation, and the regulation of emotion; social skills were also examined. A partial least squares structural-equation modeling approach was applied through SmartPLS software to explore the relationships. The results indicate that self-awareness and self-motivation have direct, significant, and positive connections with study habits. Similarly, the results indicate that all four dimensions of emotional intelligence (self-awareness, self-motivation, emotion regulation and social skills) had indirect, significant, and positive relationships with study habits using cognitive engagement as a mediator variable. It was concluded that students face higher-than-usual challenges in building study habits in blended learning environments during the COVID-19 pandemic, and that emotional intelligence helps them to develop their study habits to greater effect. Similarly, it was concluded that cognitive engagement strengthens the connection between emotional intelligence and study habits. Therefore, it is recommended that universities take specific measures to enhance students’ emotional intelligence and cognitive engagement, which will ultimately improve their study habits. Moreover, valuable and practical implications for teachers, practitioners, and university management were also discussed in the study

Social Media Networking Sites Usage and Depression Among University Students During the COVID-19 Pandemic : The Mediating Roles of Social Anxiety and Loneliness

The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and depression from 244 blended learning undergraduate students from universities in the Hunan province in China. Partial least squares structural equation modeling was conducted using SmartPLS 3.3.3 to measure the relationships between the stated variables of interest. Results indicated that SMNSU has a direct, significant, and positive relationship with depression. In terms of mediating effects, both loneliness and social anxiety have an intervening role in the association between SMNSU and depression. This study focused on the higher education sector of China by recruiting students who were enrolled in blended learning courses during the COVID-19 pandemic and experiencing psychological problems. We found that excessive SMNSU is associated with depression. Loneliness and social anxiety also increase depression along with excessive SMNSU among blended learning students during unprecedented situations, in this case, the COVID-19 pandemic. The valuable implications of these findings for teachers, counselors, and university managers are discussed, along with a consideration of future research directions.Peer reviewe

Fostering ICT Competencies in Blended Learning : Role of Curriculum Content, Material, and Teaching Strategies

The study examined the direct and indirect influence of information communication technology (ICT)-integrated curriculum content, material, and teaching strategies on ICT competencies of students in blended learning. The ICT-integrated teaching strategies were used as a mediator in between the relationships of curriculum content, material, and ICT competencies. We used a survey questionnaire containing 26 items on the variables of research in this study. The data were collected from six universities in the Hunan Province of China. The target population consisted of undergraduate students of blended learning. In total, 486 participants participated in the study. Partial least squares-structural equation modeling (PLS-SEM) was applied to measure the relationships among variables. The results revealed that there were significant and positive relationships among ICT-integrated curriculum content, material, teaching strategies, and ICT competencies of students. Furthermore, it was also revealed that ICT-integrated teaching strategies in blended learning mediated the relationships in between ICT integrated curriculum content, material, and ICT competencies. It was concluded that the effective curriculum content, curriculum material, and teaching strategies are the critical predictors of ICT competencies. Moreover, teaching strategies worked as an intervening factor between the curriculum content, curriculum material, and ICT competencies. The practical implications and directions for future research are also presented in this study.Peer reviewe

6G secure quantum communication: a success probability prediction model

© 2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/The emergence of 6G networks initiates significant transformations in the communication technology landscape. Yet, the melding of quantum computing (QC) with 6G networks although promising an array of benefits, particularly in secure communication. Adapting QC into 6G requires a rigorous focus on numerous critical variables. This study aims to identify key variables in secure quantum communication (SQC) in 6G and develop a model for predicting the success probability of 6G-SQC projects. We identified key 6G-SQC variables from existing literature to achieve these objectives and collected training data by conducting a questionnaire survey. We then analyzed these variables using an optimization model, i.e., Genetic Algorithm (GA), with two different prediction methods the Naïve Bayes Classifier (NBC) and Logistic Regression (LR). The results of success probability prediction models indicate that as the 6G-SQC matures, project success probability significantly increases, and costs are notably reduced. Furthermore, the best fitness rankings for each 6G-SQC project variable determined using NBC and LR indicated a strong positive correlation (rs = 0.895). The t-test results (t = 0.752, p = 0.502 > 0.05) show no significant differences between the rankings calculated using both prediction models (NBC and LR). The results reveal that the developed success probability prediction model, based on 15 identified 6G-SQC project variables, highlights the areas where practitioners need to focus more to facilitate the cost-effective and successful implementation of 6G-SQC projects.Peer reviewe

2-Carboxy­anilinium chloride monohydrate

In the mol­ecule of the title compound, C7H8NO2 +·Cl−·H2O, an intra­molecular N—H⋯O hydrogen bond results in the formation of a non-planar six-membered ring adopting a flattened boat conformation. In the crystal structure, inter­molecular O—H⋯O and N—H⋯Cl hydrogen bonds link the mol­ecules. There is a C=O⋯π contact between the carbonyl unit and the centroid of the benzene ring. There is a C=O⋯π contact [C⋯Cg = 3.5802 (18), C—O⋯Cg = 89 (1)°] between the carbonyl unit and the centroid of the benzene ring

Insights into software development approaches: mining Q &A repositories

© 2023 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/Context: Software practitioners adopt approaches like DevOps, Scrum, and Waterfall for high-quality software development. However, limited research has been conducted on exploring software development approaches concerning practitioners’ discussions on Q &A forums. Objective: We conducted an empirical study to analyze developers’ discussions on Q &A forums to gain insights into software development approaches in practice. Method: We analyzed 13,903 developers’ posts across Stack Overflow (SO), Software Engineering Stack Exchange (SESE), and Project Management Stack Exchange (PMSE) forums. A mixed method approach, consisting of the topic modeling technique (i.e., Latent Dirichlet Allocation (LDA)) and qualitative analysis, is used to identify frequently discussed topics of software development approaches, trends (popular, difficult topics), and the challenges faced by practitioners in adopting different software development approaches. Findings: We identified 15 frequently mentioned software development approaches topics on Q &A sites and observed an increase in trends for the top-3 most difficult topics requiring more attention. Finally, our study identified 49 challenges faced by practitioners while deploying various software development approaches, and we subsequently created a thematic map to represent these findings. Conclusions: The study findings serve as a useful resource for practitioners to overcome challenges, stay informed about current trends, and ultimately improve the quality of software products they develop.Peer reviewe

Insights into Software Development Approaches: Mining Q&A Repositories

Context: Software practitioners adopt approaches like DevOps, Scrum, and Waterfall for high-quality software development. However, limited research has been conducted on exploring software development approaches concerning practitioners discussions on Q&A forums. Objective: We conducted an empirical study to analyze developers discussions on Q&A forums to gain insights into software development approaches in practice. Method: We analyzed 13,903 developers posts across Stack Overflow (SO), Software Engineering Stack Exchange (SESE), and Project Management Stack Exchange (PMSE) forums. A mixed method approach, consisting of the topic modeling technique (i.e., Latent Dirichlet Allocation (LDA)) and qualitative analysis, is used to identify frequently discussed topics of software development approaches, trends (popular, difficult topics), and the challenges faced by practitioners in adopting different software development approaches. Findings: We identified 15 frequently mentioned software development approaches topics on Q&A sites and observed an increase in trends for the top-3 most difficult topics requiring more attention. Finally, our study identified 49 challenges faced by practitioners while deploying various software development approaches, and we subsequently created a thematic map to represent these findings. Conclusions: The study findings serve as a useful resource for practitioners to overcome challenges, stay informed about current trends, and ultimately improve the quality of software products they develop