A Sustainable Quality Model for Mobile Learning in Post-Pandemic Higher Education: A Structural Equation Modeling-Based Investigation

As an effect of the digital transformation encountered by higher education institutions in the post-pandemic phase, the current study aims to inspect the factors affecting the actual use of mobile learning among higher education students. A novel hybrid model based on the information system success and technology acceptance models was proposed and tested. The study included 400 undergraduate and postgraduate students from four Saudi universities who responded to a questionnaire consisting of two parts and seven dimensions, with a total of 26 items. For the analysis, a quantitative approach was applied using structural equation modeling. The results displayed that information quality had no impact on the actual use of mobile learning among higher education students. In contrast, other quality factors (system quality, service quality, and satisfaction) and perceived factors (perceived usefulness and perceived ease of use) had a positive effect. Accordingly, this study proposed an integrated framework to assist decision makers at higher education institutions in scaffolding students to develop their educational performance by depending on mobile applications comprising high-quality factors that address their real needs. This would also enable higher education institutions to enhance their digital transformation experience, thus contributing to achieving positive learning sustainability after the pandemic.

An Empirical Investigation into Students' Actual Use of MOOCs in Saudi Arabia Higher Education

Massive Open Online Courses, or MOOCs, are a type of educational innovation where enrollment in the courses given is free and available online. The MOOCs course selection is extensive and may accommodate hundreds or thousands of students at once. The current study, however, aims to look into how the academic self-efficacy of real MOOC users affects learning engagement and perseverance in higher education in Saudi Arabia. This study added the Technology Acceptance Model (TAM) to social cognitive theory. Therefore, the primary goal is to create a new model by examining the variables that affect the perceived utility and perceived service quality, as well as the students' general perceptions of MOOCs that are really used. Therefore, this research used a quantitative approach and distributed the questionnaire online through a Google Form. It collected data from 276 King Saud University students and used it to test the hypothesized correlations using structural equation modeling (SEM-PLS). The study's findings showed that perceptions of perceived benefits and service quality consistently had a significant influence on social interaction, influence, networks of support, and social identity. A further finding was that reported utility and perceived service quality have always been significantly influenced by academic self-efficacy in actual MOOC use. Because of this, learning engagement and perseverance in Saudi Arabian higher education are significantly impacted by the academic self-efficacy of real MOOC users. According to the findings, MOOC programs generally have a positive influence on the kingdom's higher education system. As a result, it is almost certain that this research model will assist university decision-makers in determining whether or not MOOC usage is prevalent at Saudi educational institutions.

Does social banking matter in times of crisis? Evidence from the COVID-19 pandemic: a combined SEM-neural network approach

Purpose: The purpose of this study was to investigate the factors that would influence the intention to use social banking during the coronavirus disease 2019 (COVID-19) pandemic. This study integrated two theories, namely the integrated technology acceptance model (TAM), which focused on the acceptance of technology by consumers, and electronic word of mouth (eWOM), which focused on consum was consistent with the neural network method of the important factors. Practical implications: The results of this research could initiate issues that should be developed for the continued use of online banking among consumers in the context of developing countries, such as Thailand. Originality/value: This research model provided guidelines for the effective development of mobile banking applications for use on mobile devices. The results of this research made strong theoretical contributions to the existing literature on online banking and offered procedures and information to the relevant sectors. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0709. © 2023, Emerald Publishing Limited.

Tourist Behavior and Sustainable Tourism Policy Planning in the COVID-19 Era: Insights from Thailand

The COVID-19 outbreak has drastically altered the behavior of tourists, posing a significant challenge to countries that heavily rely on the tourism industry to develop sustainable policies. This study utilizes structural equation modeling (SEM) techniques to analyze the effects of four variable groups on travel decisions during the pandemic. These groups include tourism potential, tourism logistics efficiency, the impact of COVID-19 on tourism potential, and the impact of COVID-19 on logistics efficiency. We collected data from a sample group of 943 foreign tourists visiting Thailand through online and on-site questionnaires. Our findings reveal that accommodation and information flow were the most significant factors affecting travel decisions during the pandemic, while the mode of transport had minimal impact. Based on our results, we recommend that post-COVID-19 tourism policies focus on improving accommodation quality and hygiene standards and building networks that offer comprehensive and up-to-date information about the pandemic. Our proposed approach is more efficient and cost-effective than mobilizing resources across all tourism industry sectors. It promotes sustainable tourism recovery planning while minimizing adverse effects on the community. These results are particularly relevant to stakeholders and policymakers who have been heavily affected by the COVID-19 pandemic and need to develop effective tourism policies. © 2023 by the authors.

Understanding the COVID-19 Pandemic's Impact on E-Learner Satisfaction at the Tertiary Level

E-learning has recently gained considerable interest among stakeholders, including educators, students, and policymakers. During the pandemic, organized online learning is critical to an effective e-learning system because it helps both teaching and learning. Thus, the current study intends to explore the factors contributing to e-learners' satisfaction during the COVID-19 pandemic. A questionnaire survey was conducted to gather data from 650 university students selected through convenience sampling. The data were analyzed using the Statistical Package for the Social Sciences (SPSS). The factors essential to boosting e-learner satisfaction were identified using confirmatory factor analysis (CFA). Frequency distribution and percentages were used to identify the demographic characteristics of respondents, and a reliability test was conducted to test the internal consistency of the data. This study employed structural equation modeling (SEM) to trace the relationship between the six independent variables and e-learner satisfaction. Regression results revealed that psychological factors, educational materials and design, access to technological devices, instructor attributes, and perceptions and expectations significantly influence e-learner satisfaction. However, students' engagement had no significant influence on the same. Because, most respondents had a clear preference for physical learning. The findings of this study will help educationists and policymakers take necessary steps in enhancing learners' satisfaction and improving their academic performance.

Role of creative classes in sustainable agricultural development: focusing on creating shared value in rural Japan

The purpose of this study was to clarify the role of creative classes in sustainable agriculture development through creating shared value in rural Japan by applying latent class analysis (LCA), structural equation modeling (SEM) and cognitive map analysis to the results of a questionnaire survey of farmers. Two hypotheses were set for verification: "There are a certain number of Japanese farmers who belong to the creative class” (H1) and "The creative class is highly entrepreneurial, appreciates the attractiveness of agriculture, prefers sustainability policies and seeks to create shared value in agriculture" (H2). We obtained analytical results as follows. First, from the results of the latent class analysis (LCA), farmers were classified into four classes (class 1: Majority, class 2: Early adopter, class 3: Laggard, class 4: Innovator). In addition, Class 4 (innovator) was interpreted as the creative class because most respondents answered positively about creative thinking, job satisfaction, life satisfaction, innovation orientation, social capital and cognitive changes due to the COVID-19 epidemic. Second, the analysis of the structural equation modeling (SEM) revealed the factors affected the entrepreneurship, namely preference for agricultural policy and impact on creating shared value in agriculture in the creative class. In other words, we found that the evaluation of the multi-functionality of agriculture influences each element for entrepreneurship of the creative class, and also influences the preference for agricultural policy and creation of shared value. Thirdly, analysis of cognitive maps revealed that creative classes contribute to sustainable agricultural and rural development through the creation of shared value. However, in current Japan, the creative classes are concentrated in urban areas and farmers highly value the risk of failure, so there is no virtuous cycle for the entrepreneurial environment to shape entrepreneurial attitudes. Therefore, it is important for policies to develop creative classes in flatland agricultural areas and mountainous areas, and build networks for the creative classes among different regions. © 2023, The Japan Section of the Regional Science Association International.

Integrated Social Cognitive Theory with Learning Input Factors: The Effects of Problem-Solving Skills and Critical Thinking Skills on Learning Performance Sustainability

E-learning is expected to become a common teaching and learning approach in educational institutions in the near future;thus, the success of e-learning initiatives must be ensured in order to make this a sustainable mode of learning. In order to improve students' learning performance through the use of e-learning in Saudi Arabia's higher education, it was the objective of this paper to examine the relationships between social cognitive theory and learning input factors and the reflective thinking and inquiry learning style as well as the indirect effects of student problem-solving and critical thinking skills. As a result, this study thoroughly assessed the social cognitive theory that is currently in use, along with learning input components and situational factors that should be carefully taken into account while introducing an online education system into Saudi Arabia's top universities as a way of ensuring learning sustainability. As a result, 294 university students completed a questionnaire that served as the initial dataset for the research study, and the proposed conceptual model was comprehensively assessed using SEM. The research results demonstrated that the inquiry style of learning and reflective thinking have always had a significant impact on the social involvement, human engagement, social power, social identity, and social support. Similar findings were obtained regarding the impact of problem-solving and critical thinking skills on the inquiry-based learning approach and reflective thinking. Thus, students' ability to learn in Saudi Arabia's higher education is greatly influenced by their ability to solve problems and think critically. Therefore, it is almost certain that this research study will aid university policy makers in their decision on whether to fully deploy an online learning system as a way of ensuring learning sustainability at educational institutions throughout Saudi Arabia.

The Role of Economic Stress, Health Concerns, and Institutional Trust in Supporting Public Protests against COVID-19 Lockdown Measures in Denmark.

During the current COVID-19 pandemic, most governments around the world have adopted strict COVID-19 lockdown measures. In Denmark, mainly from January to March 2021, an anonymous protest group called Men in Black organized demonstrations against the Danish COVID-19 lockdown measures in the three major cities in Denmark. Based on an online survey that we carried out in March 2021 in the Danish population aged 16 years and above (n = 2692), we analyze the individual-level factors behind supporting these demonstrations. Based on ordered logit regressions, the results show that being Muslim and being self-employed (business owner) was positively related to supporting the demonstrations, and that age and living in a city municipality was negatively related to supporting the demonstrations. Based on structural equation modeling (SEM), the results showed that the municipal COVID-19 incidence rate mediates the effect of living in a city municipality, that institutional trust mediates the effect of being Muslim, and that COVID-19 health concerns and institutional trust mediate the effect of age. Overall, economic stress among business owners, health concerns, and institutional trust were found to be the main predictors of supporting the demonstrations against the COVID-19 lockdown measures in Denmark.

Developing Supply Chain Capabilities Through Digitalization and Viability for Controlling the Ripple Effect

The COVID-19 pandemic affected all industries and presented manufacturing firms with enormous challenges, with considerable changes in consumer demand for goods and services. Supply chain management disruption caused by the COVID-19 outbreak resulted in several socio-economic roadblocks. The slow propagation of disruption risk results in a ripple effect along the entire chain. The lack of resilience and risk management capability is the prime cause, attributed to the unavailability of digital resources, skills, and knowledge. The main objective of this article is to develop supply chain capability for disruption risk management and supply chain resilience for competitive gain in terms of controlling the ripple effect. The resource-based view approach was used to develop the theoretical structure in this article. Supply chain digitalization and viability provide necessary resources to develop the capability for managing risk and resilience to tackle the impact of disruptions due to pandemics, war, recession, and other such massive challenges on the supply chain. Seven hypotheses were proposed and evaluated for relevance using structural equation modeling (SEM). In total, 199 valid responses to a survey on SEM were gathered and examined using the AMOS V-21 software. Our research findings supported all the proposed hypotheses, thereby generating positive theoretical evidence for practitioners to digitalize their supply chain for enhanced supply chain capabilities and effective control of the ripple effect. IEEE

Art education lecturers' intention to continue using the blackboard during and after the COVID-19 pandemic: An empirical investigation into the UTAUT and TAM model.

The success of faculty in adopting technology in this digital era has a direct impact on the success of the students and, eventually, the educational institution. Many teachers, on the other hand, have yet to implement technological tools such as Canvas into their classes. As a result, this study looked at art universities lecturers' opinions of variables influencing actual blackboard use, as well as their desire to utilize the lesson plan in learning and teaching during the COVID-19 Pandemic. The TAM model and the unified theory of acceptance and use of technology (UTAUT) were used to analyze lecturers' satisfaction with the blackboard and their desire to continue using it, as well as the actual usage of blackboards. A survey of 159 professors using Canvas in art instruction at five Saudi Arabian public institutions yielded the research findings. In addition, structural equation modeling (SEM) was used to evaluate the study model as well as the mediating relationship between factors influencing the desire to implement the lesson in learning and teaching during the COVID-19 Pandemic. According to the study's findings, superior impact, performance expectation, effort expectations, enabling conditions, and reported enjoyment all had statistically significant effects on perceived usefulness (PU) and perceived ease of use. The current study discovered that PU and perception of use had statistically significant influence on behavior intent, actual blackboard usage, and lecturers' happiness with utilizing blackboard in learning and teaching during the COVID-19 Pandemic. Furthermore, the results demonstrate that lecturer's intention to continue utilizing chalkboard in learning and teaching during and after COVID-19 Pandemic was influenced by actual usage of blackboard and reported pleasure. The findings are useful for education based, regulators, and practitioners who seek to create and enhance effective methods to use e-learning systems during and after the COVID-19 Pandemic.

The ABC-X's of Stress among U.S. Emerging Adults during the COVID-19 Pandemic: Relationship Quality, Financial Distress, and Mental Health.

Many emerging adults have experienced increased financial distress and mental health problems during the COVID-19 pandemic, and isolation may have amplified the importance of close relationships (especially as parents' influence diminishes during this developmental stage). Using the ABC-X Model to frame our model, we tested whether financial distress (C) mediates the associations between COVID-19 impact (A) and anxiety and depressive symptoms (X), and whether or not romantic relationship quality (B) moderates these indirect associations. Our sample comprised of 1950 U.S. emerging adults in a romantic relationship. Mediation and first-stage moderated mediation were tested using structural equation modeling. Financial distress partially mediated the association between COVID-19 impact and anxiety symptoms and fully mediated the association between COVID-19 impact and depressive symptoms. Strong evidence of moderated mediation was found but in the opposite direction expected: the indirect associations of COVID-19 impact with anxiety and depressive symptoms (through financial distress) were stronger for those in high-quality romantic relationships. The findings may inform policy and practice aimed at optimizing the mental health of emerging adults, especially in light of the ongoing COVID-19 pandemic: specifically, alleviating financial distress may improve the mental health of emerging adults, while focusing on the quality of their romantic relationships may not.

Towards an Understanding of FinTech Users’ Adoption: Intention and e-Loyalty Post-COVID-19 from a Developing Country Perspective

Earlier literature has shown that the implementation of FinTech innovations is not only determined by banks, financial institutions, or government support, but also by the perception and experiences of FinTech users. FinTech research has shown encouraging findings from scholars in developed countries. However, little is known about the users’ acceptance and use of FinTech in Jordan. The aim of this study is to investigate the determinants of users’ intentions and e-Loyalty toward FinTech adoption in Jordan post the COVID-19 era. A conceptual framework was developed by integrating the four original constructs of the unified theory of acceptance and use of technology (UTAUT), namely performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC), with three additional factors: personal innovativeness (PI), financial literacy (FL), and uncertainty avoidance (UA). In addition, the proposed model considered the e-Loyalty of FinTech users as a consequence of having a good FinTech experience. A quantitative approach using a cross-sectional online questionnaire was applied to collect data from 423 FinTech users. Data were analyzed utilizing structural equation modeling (SEM) based on AMOS 26.0 software package. The findings revealed that UA has a moderating effect on the relationship between FC and users’ intentions. Also, PI has a significant impact on PE and EE. While PE, SI, and FC are factors that enhance behavioral intentions. In return, it builds users’ e-Loyalty toward FinTech services and is deemed a new normal behavior. This study may help FinTech service providers and policymakers better understand the, currently relatively low, usage rate of FinTech, and how it contributes to the development of strategies that boost the acceptance and e-Loyalty of FinTech by Jordanian users after the COVID-19 era, where FinTech is still considered an innovation.

Factors Affecting the Adoption of Remote Auditing During the Times of COVID-19: An Integrated Perspective of Diffusion of Innovations Model and the Technology Acceptance Model

During the COVID-19 pandemic period, external auditors have used technological solutions to complete their job tasks due to the lockdown ramifications. Therefore, many external auditors have opted to work remotely. Nevertheless, the abrupt adoption of remote auditing received mixed feedback from those auditors due to different determining factors. Therefore, this article intends to examine these factors in the Jordanian external auditor context. To do so, a model combining the critical factors from the diffusion of innovation model and technology acceptance model has been utilized. The model was tested using data collected from 109 external auditors from public accounting firms working in Jordan. The results expand our understanding of remote auditing adoption decisions, providing empirical support that perceived usefulness, perceived ease of use, and trialability are the important determinants to adopt remote auditing systems. Based on these results, further discussion, implications, and recommendations have been provided. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Physical activity behavior during Covid 19 pandemic among Iranian dwellers in Southern Iran based on planned behavior theory: a SEM analysis.

BACKGROUND: The COVID-19 pandemic restrictions curtailed physical activity. The current study applied an integrated Theory of Planned Behavior to identify the determinants of physical activity behavior and the processes involved in the COVID-19 pandemic. METHODS: A cross-sectional study was conducted in Shiraz city, Southern Iran, among 2500 people who met the inclusion criteria were included in the study. Data were collected using the demographic information questions and questionnaire based on the Theory of Planned Behavior (TPB) constructs. The Questionnaire via WhatsApp, emails, and SMS was shared. Data analysis was performed using SPSS26 and Amos version 24. Mean and standard deviation was used to describe the data. Also, one-way ANOVA and structural equation analysis were used to analyze the data. The significance level in all the tests was considered to be 0.05. RESULTS: One thousand one hundred sixty-nine samples (46.8%) said they had been exercising less than 3 days a week, and 47.6% of them did not have any exercise or physical activities (n = 1191). The mean score of attitudes, SN, PBC, and intention were 9.38 ± 2.07, 9.27 ± 2.03, 9.32 ± 2.05, and 12.29 ± 2.35, respectively. The effect size values demonstrate the independent variables' high coefficient of influence on explaining the theoretical model. According to the results, the factors play an important role in samples' intention (η2 ≥ 0.2, p ≤ 0.05). The effect size of intention on doing physical activities and exercise during the SARS-CoV-2 pandemic is Eta square = 0.777, which means the measure was high. The obtained model was good based on the main goodness of fit indices (Chi2 = 108.6, df = 25, n = 2500, Chi2/df = 4.344, RMSEA = 0.036, AGFI = 0.92, CFI = 0.95, GFI = 0.90, Fornell-Larcker criterion = 0.87, HTMT = 0.89). CONCLUSION: The TPB provides a useful framework to explore psychosocial determinants of physical activity behavior during the pandemic and identify key strategies for program planning aimed at improving exercise among people who were already influenced by quarantine and lockdown restrictions.

Resilience, Social Support, Loneliness and Quality of Life during COVID-19 Pandemic: A Structural Equation Model.

AIM: To determine the parsimonious model of the interrelationships of personal resilience, social support, loneliness and quality of life (QoL) and to identify the mediating effect of loneliness among nursing students amidst the pandemic. BACKGROUND: The coronavirus 2019 (COVID-19) pandemic led to control measures which increased loneliness among students due to disrupted social connections and sudden shift to virtual learning. During these changes, resilience and social support can significantly influence how learners deal with pandemic-related stresses thus, minimizing loneliness and enhancing QoL. Although studies posited the influence of resilience and social support with loneliness and QoL, these were conducted prior the COVID-19 pandemic wherein loneliness and feelings of isolation play a crucial part. DESIGN: Correlational, theory testing using covariance-based structural equation modeling METHODS: A total of 550 nursing students from a comprehensive university in Manila, Philippines were recruited from September to October 2021 and answered four standardized, validated scales. RESULTS: A good and parsimonious model (x2/df = 2.84, RMSEA = 0.058, GFI = 0.999, CFI = 0.999, PNFI = 0.048) highlighted the mediating effect of loneliness between social support, personal resilience and QoL. While personal resilience positively influenced the physical and psychological domains of QoL, social support positively affected the social relationships and environmental domains. Loneliness was a strong, negative predictor of the psychological and social domains of QoL and had a moderate, negative effect on the physical domain. Personal resilience also mediated the influence of social support on loneliness and QoL. CONCLUSION: Social support and personal resilience positively affected QoL, while loneliness had a negative effect. Through the mediation of loneliness, the effects of social support on QoL decreases. However, the mediation of resilience further decreases loneliness and improves QoL. The presented model assists nurse educators and administrators in developing strategies to enhance social support, resilience and QoL among students while mitigating the negative effects loneliness during the pandemic. TWEETABLE ABSTRACT: Loneliness and Resilience are mediators of student nurses' quality of life during COVID-19 pandemic. Social support is the common predictor.

The Impact of IoT on the Performance of Vaccine Supply Chain Distribution in the COVID-19 Context

The Government of India has started the distribution of the Covishield and Covaxin vaccines across all the comprising states. In developing states like Bihar, the vaccine supply chain (VSC) is likely to face many challenges due to poor health infrastructure, multidimensional poverty, and poor literacy. Supply chain practitioners are experimenting with available technologies to deal with supply, demand, and behavioral challenges. The present research work seeks to inspect the potential impact of Internet of Things (IoT) on the performance of the VSC. This study draws literature on the impact of IoT on product management, demand management, supply management, social behavior, and government rules and regulations to develop and test the conceptual model in Bihar. Consequently, the study administrated a survey and used structural equation modeling to investigate the proposed hypothesis. The analysis illustrates the positive influence of IoT adoption on the performance of the VSC in distributing the COVID vaccine. The finding also shows the positive relationship between product, supply, demand, and social behavior in IoT adoption. Analysis displays that Indian politicians can substantially impact vaccine distribution because they have influence and awareness of their local districts. This research work has a significant theoretical and managerial contribution for government and practitioners, supporting regulatory officials and policymakers in improving vaccine distribution.

The Perceived Effects of Covid-19 on the Preferences and Expectations of Customers of Grocery Stores in Metro Manila

The novel coronavirus disease 2019 (COVID-19, caused by SARS-CoV-2) has spread globally and its impact cause many brick-and-mortar retailers including grocery stores to develop different strategies to operate amidst pandemic which includes revamping the area of facility management and layout, systems design and retail marketing. The objective of the study is (1) determine the relationship between the perceived COVID-19 effects and the buying expectations and preference of grocery customers, (2) determine the significance of the New Normal grocery operations strategy elements and practices and its moderating effect on the grocery customer buying expectations and preferences in view of the Covid-19 repercussions and (3) recommend a grocery operations strategy implementation platform to address the new buying preferences and expectations of grocery customers toward the new normal. With a sample size of 303 respondents of various individual that have experience buying grocery during pandemic answered the online questionnaire. Using Structural Equation Modeling (SEM), the result of the study showed that the COVID-19 effect have direct significant to the buying expectations and preference of grocery customers. Additionally the New Normal grocery operations strategy elements and practices also have significant direct effect to the buying expectations and preference of grocery customers. © IEOM Society International.

Understanding the continuous vaccination of the COVID-19 vaccine: an empirical study from China.

Vaccination for the novel coronavirus disease 2019 (COVID-19) provides an effective approach for the general improvement of social safety and individual health. However, given that the current COVID-19 vaccine can only work for a period of time, the continuous vaccination of the vaccine will be particularly important. Using the Health Action Process Approach (HAPA) Model, Expectation Confirmation Model (ECM) and vaccine hesitancy (VH) theory, this research evaluates the continuous vaccination for COVID-19. This research selected Chinese survey platform to recruit respondents and conducted online surveys. A total of 768 Chinese individuals who were vaccinated participated in the survey, and 561 responses were effective after screening. Six valuable and novel findings are identified through this research. First, perceived efficacy has a positive significant impact on vaccination intention, but the positive effects of outcome expectancy and risk perception on vaccination intention are not significant. Second, social positive cues play a significant role in promoting vaccination intention. Third, VH has a negative significant influence on vaccination intention. Fourth, vaccination behavior produces a positive significant effect on perceived usefulness and satisfaction, respectively. Fifth, perceived usefulness exerted a positive significant impact on satisfaction and continuous vaccination, respectively. Sixth, satisfaction has no positive significant influence on continuous vaccination. Our theoretical model, which is the main contribution of this research, indicates that individual continuous vaccination is a process from motivation to intention, and from intention to behavior, and then from behavior to continuous vaccination.

The Internal Demand of Cultural Tourism: Understanding Satisfaction and Fidelity to Destination in Spain through a Non-Linear Structural Model

The new habits of tourist consumption favor the rise of cultural tourism, either as the primary or complementary offer of a destination. Therefore, it is necessary to deepen the study of the behavior of cultural tourism demand. This research aims to develop a structural model that allows measuring the main variables that affect the satisfaction and loyalty of the internal demand of the cultural tourist to a heritage destination. The results are helpful for the design of tourism management. The hypotheses posited have been tested using non-linear structural equations (SEM), estimated with data from the National Statistics Institute on internal demand for cultural tourism in Spain (n = 18,024). The results confirm the importance of socio-cultural variables and the tourist’s experience on fidelity to the visited destination. Furthermore, the negative relationship between the repetition of the visit and satisfaction is striking.

Local Community Satisfaction toward Tourism Development in Pushkar Region of Rajasthan, India

Satisfaction of local residents is one of the key factors in responsible and sustainable tourism development. It helps tourism planners and policymakers in effective and strategic utilization of tourism resources. The present study investigates local residents’ satisfaction level toward sustainable tourism development through economic, socio-cultural, and environmental development. In order to achieve the goal of the study, one-sample t-test, regression analysis, and Structural Equation Modeling (SEM) were performed. The findings of the study have suggested that local residents have a different level of satisfaction towards overall sustainable development and economic, socio-cultural, and environmental development in the study area. It was also observed that there is a high positive correlation among economic, socio-cultural, and environmental developments, and these developments significantly impact sustainable tourism development.