Revisiting online academic networks within the COVID-19 pandemic – From the intellectual capital of knowledge networks towards institutional knowledge capitalization

Purpose: The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic. Design/methodology/approach: A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0. Findings: Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable. Research limitations/implications: The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide. Originality/value: The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations. [ FROM AUTHOR] Copyright of Journal of Intellectual Capital is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality

The novel coronavirus (COVID-19) outbreak has impacted the aviation industry worldwide. Several restrictions and regulations have been implemented to prevent the virus's spread and maintain airport operations. To recover the trustworthiness of air travelers in the new normality, improving airport service quality (ASQ) is necessary, ultimately increasing passenger satisfaction in airports. This research focuses on the relationship between passenger satisfaction and the ASQ dimensions of airports in Thailand. A three-stage analysis model was conducted by integrating structural equation modeling, Bayesian networks, and artificial neural networks to identify critical ASQ dimensions that highly impact overall satisfaction. The findings reveal that airport facilities, wayfinding, and security are three dominant dimensions influencing overall passenger satisfaction. This insight could help airport managers and operators recover passenger satisfaction, increase trustworthiness, and maintain the efficiency of the airports in not only this severe crisis but also in the new normality.

A Documentary Review on Private School Human Resource Management During Disruption Era

This preliminary study aimed to identify attributes for observed and latent variables. A documentary review was employed to investigate the attributes for latent variables, namely technological integration, disruptive leadership, and organizational transformation while the observed variable was human resource management during the disruption era. The findings revealed that there are six attributes for human resource management during the disruption era, four attributes for technological integration, five attributes for disruptive leadership, and four attributes for organizational transformation. All these variables and their attributes are going to investigate using structural equation modeling in order to explore relations between observed and latent variables.

Keep Calm and Go Out: Urban Nature Exposure, Mental Health, and Perceived Value during the COVID-19 Lockdown

The COVID-19 pandemic has highlighted the importance of incorporating nature-based solutions in urban design, in order to create sustainable and resilient cities. Inspired by these events, the present study aims at exploring the mental health benefits of nature exposure during the outbreak. Secondarily, we investigate changes in use patterns towards urban green spaces (UGS) and urban blue spaces (UBS) and whether extreme conditions, such as these of a lockdown, can lead to an increase in people's appreciation of urban nature. Through an online survey, we observed that the pandemic resulted in a decrease in the frequency of visitation to UGS/UBS (p < 0.001). Significant differences were found for exercise (p < 0.001) and socialization (p < 0.05) as main drivers for visiting urban nature pre- and post-lockdown. Accordingly, visitation rates for forests (p < 0.05), playgrounds (p < 0.001), and the sea (p < 0.001) differed significantly when comparing the two periods. In people's perception, UGS/UBS are important for the urban fabric (89%). Our structural equation model indicated that nature exposure had a beneficial effect on participants' mental health (p < 0.001). Pathways that explain the relationship between nature exposure and post- lockdown value were nature relatedness, motivation, and perceived importance of UGS/UBS. No mediation could be extracted for nature exposure and mental health. Our findings show the positive association between nature exposure and mental health improvement, especially in times of crisis, as well as a shift in the "value domain” towards urban nature.

Associations between adverse childhood experiences and conspiracy endorsement - the mediating role of epistemic trust and personality functioning: A representative study during the COVID-19 pandemic

Aim: Conspiracy endorsement has gained much attention in the context of the COVID-19 pandemic, as it constitutes a major public health challenge that is associated with reduced adherence to preventative measures. However, little is known about the developmental backdrops and personality characteristics that render an individual prone to conspiracy endorsement. There is a growing body of evidence implying a detrimental role of adverse childhood experiences (ACEs) - a highly prevalent burden - in the development of epistemic trust and personality functioning. This study aimed to investigate the association between ACEs and conspiracy endorsement as well as the mediating role of epistemic trust and personality functioning. Method(s): Analyses are based on cross-sectional representative data of the German population collected during the COVID-19 pandemic (N = 2501). Structural equation modelling (SEM) with personality functioning (OPD-SQS) and epistemic trust (ETMCQ) as mediators of the association between ACEs and conspiracy endorsement were conducted. Result(s): In total, 20.4% (n = 508) of all participants endorsed conspiracies. There was a significant association between ACEs and conspiracy endorsement (beta = 0.25, p < 0.001;explained variance 6%). The variance of conspiracy endorsement increased to 19% after adding epistemic trust and personality functioning as mediators (beta = 0.12, p < 0.001), indicating a partial mediation and direct prediction from these mediators. Fit indices demonstrated a good model fit. Conclusion(s): Evidence on the far-reaching and detrimental effects of early childhood adversities are further increased by demonstrating an association between ACEs and conspiracy endorsement. Our findings contribute to a deeper understanding of the underlying mechanisms by including epistemic trust and personality functioning.Copyright © 2023

Hospitality employees' technology adoption at the workplace: evidence from a meta-analysis

PurposeThis research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).Design/methodology/approachIn total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study's data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.FindingsThe findings demonstrated that perceived usefulness had a greater influence on "user attitudes” and "acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.Practical implicationsThe findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.Originality/valueThis is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

Perceived Attitudes Toward Vaccines, Trust and Vaccination Behaviors

Objectives: The decision-making process for taking vaccination is influenced by a multitude of factors such as individual beliefs concerning vaccinations, trust in contextual forces, and sociodemographic. This study established a model to understand the relationship between people's beliefs in the safety, importance and effectiveness of vaccines, their trust in the medical advice from the government and doctors and their behaviors of having their children vaccinated from infectious diseases in low-and-middle-income countries (LMIC). Method(s): We structured a structural equation model with two latent variables, Motivation and Trust, and their relationships with the vaccination taking behavior. Motivation is constructed by people's beliefs in the safety, importance and effectiveness of vaccines and trust is constructed by people's trust in government, medical providers and scientists. This study used the 2018 Wellcome Global Monitor dataset and focused on people in 80 LMIC. The countries were divided into eight geographic regions: Eastern Africa, Central & Southern Africa, Norther Africa & Middle East, Western Africa, Central Asia, Southeast Asia, South Asia and Southern& Eastern Europe. Result(s): The latent variable Motivation is significantly positively associated with parental vaccination behaviors in all geographic areas except for South Asia and Western Africa. South Asia is the only area where the trust in government and medical system, providers had a significant association with vaccination behavior and such association is positive. Conclusion(s): In most LMIC, positive attitudes about vaccines are associated with an improved vaccine rate. Increasing people's belief in vaccines' importance, safety and effectiveness will be essential both for boosting vaccination rates and scaling up a vaccine for COVID-19. In South Asia, trust in the government and the public health system are important in deciding taking vaccines. In these countries, policymakers need to think of ways to improve people's trust in the public health system and further effectively communicate important health messages.Copyright © 2023

Fear of making a mistake-Largest cause of stress for staff in COVID-19 ICU's

Background: Work stress among healthcare staff has been identified as an extensive problem already before the pandemic. To be able to treat the surge of COVID-19 patients in need of intensive care COVID-19 ICUs were swiftly set up and staffed. The aim of this study was to investigate what staff perceived as most stressful. Material(s) and Method(s): During spring 2020 up to 270 COVID-19 patients were simultaneously treated in ICU's in the greater Stockholm and Sormland regions, upholding 100 ICU beds pre-pandemic.1 Staff reactions to work in a COVID-19 ICU was collected in a survey. Nine causes for stress were scored on a five graded likert like scale from does not agree to fully agrees. 612 nurses and physicians, both regular ICU staff and newcomers, working in ICU's in 2 larger and 3 smaller hospitals responded, (response rate approx. 35%). Data was analyzed using structural equation modeling to calculate loading of each factor. Result(s): The highest scoring cause of stress was "making a mistake". "Getting infected" got the lowest score among the 9 predefined causes. Conclusion(s): Clinicians working in COVID-19 ICUs were generally confident not to get infected at work. Commitment to maintain patient safety and frustration not to live up to standards of care in this strained situation was reflected in "making a mistake" and "relatives cannot visit" scoring as the number one and three out of the nine causes of stress. Increased knowledge about work-related stressors is crucial, in order to prevent detrimental impacts of such stressors.

Will teachers continue to teach online post-COVID-19?

Numerous studies have captured the experiences of teachers teaching online, but the current 'emergency' to teach online is unprecedented and has been challenging. Grounded in the theory of cognitive dissonance, this paper attempts to recapitulate the experiences of university teachers and analyses whether they have developed the consonant cognitions to teach online during the pandemic period or would they prefer switching back to 'normal' teaching as soon as the circumstances permit. Technology-enabled teaching has been found to be complex as it mandates teaching in a computerised setting and lacks an element of social interaction, which is at the heart of face-to-face teaching. Using Structural Equation Modelling, this study presents the determining factors that motivate teachers to embrace technology-driven teaching more convincingly. The study finds that in the absence of adequate training imparted to the teachers for developing technological and pedagogical knowledge (TPK), high psychological capital and facilitating conditions are the two most important factors ensuring teaching proficiency, creating positive online experiences and a continued intention to teach online.

Structural equation modeling for explaining preventive health practices of rural adults in the new normal context of COVID-19 pandemic

The effects of the coronavirus disease 2019 (COVID-19) are not only limited to health, they also impinge on the social life and economy of communities around the globe. Challenges faced by developing countries such as Bangladesh were multi-factorial and its rural population was highly vulnerable in this situation due to their cultural and sociodemographic context. Preventive behavioral changes were considered the best way to fight against the virus in absence of specific treatment and vaccines. This study has tried to explain preventive health practices during the COVID-19 pandemic, and aimed to explore the causal relationships of its major determinants through structural equation modeling (SEM) based on reasoned action approach (RAA). This cross-sectional study was conducted in 2020 among 810 rural Bangladeshi respondents aged 18-55 years. Around half of the respondents showed poor knowledge, motivation and practice regarding COVID-19 and its prevention. Along with socio-demographic factors, information, attitude, motivation, and intention of the people were found to be associated with the adoption of preventive health practices. The causal model of the COVID-19 prevention behaviors was assessed and justified through SEM. The model fits well with the empirical data (GFI=0.94, CFI=0.97, NFI=0.97, RMSEA=0.05, SRMR=0.04). Intention significantly influenced COVID-19 prevention behavior directly, showing the highest effect (β=0.89, p<0.001). Attitude (β=0.83, p<0.001) and motivation (β=0.15, p<0.001) also showed significant direct effects on intention. All the predictors together explained 79.6% of the variance for COVID-19 preventive behaviors. Adequate knowledge, a positive attitude, proper motivation, and positive intention can encourage rural adults to adopt healthy behaviors against COVID-19. The theoretical model of the study effectively explained COVID-19 preventive behaviors rationally and provided a roadmap for policy-makers to formulate strategies to combat COVID-19 and any future similar pandemic. © 2023, Mahidol University - ASEAN Institute for Health Development. All rights reserved.

Investigating the Impact of the Community of Inquiry Presence on Online Learning Satisfaction: A Chinese College Student Perspective.

Purpose: This study investigated how teaching, social, and cognitive presence within the community of inquiry (CoI) framework impacts Chinese college students' online learning satisfaction through self-regulated learning and emotional states. Methods: A total of 2608 Chinese college students from 112 universities completed a 38-item Likert scale survey measuring teaching, social and cognitive presence, self-regulated learning, emotional states, and online learning satisfaction after COVID-19 restrictions were lifted on December 7, 2022. The study examined the influence of teaching, social, and cognitive presence on online learning satisfaction, mediated by self-regulated learning and moderated by emotional states using SmartPLS. It also analyzed demographic differences using multi-group analysis in the model. Results: The results indicated a significant positive relationship between a) self-regulated learning and online learning satisfaction, b) teaching presence, cognitive presence, and self-regulated learning, but no relationship between social presence and self-regulated learning. Additionally, self-regulated learning partially mediated the relationship between teaching and cognitive presence and online learning satisfaction. In contrast, self-regulated learning did not mediate the association between social presence and online learning satisfaction. Positive emotional states moderated the relationship between self-regulated learning and online learning satisfaction. Implications: The study advances the knowledge of these factors influencing online learners' satisfaction, which can help create efficient programs and regulations for students, teachers, and policymakers.

Evaluating blended learning effectiveness: an empirical study from undergraduates' perspectives using structural equation modeling.

Following the global COVID-19 outbreak, blended learning (BL) has received increasing attention from educators. The purpose of this study was: (a) to develop a measurement to evaluate the effectiveness of blended learning for undergraduates; and (b) to explore the potential association between effectiveness with blended learning and student learning outcomes. This research consisted of two stages. In Stage I, a measurement for evaluating undergraduates' blended learning perceptions was developed. In Stage II, a non-experimental, correlational design was utilized to examine whether or not there is an association between blended learning effectiveness and student learning outcomes. SPSS 26.0 and AMOS 23.0 were utilized to implement factor analysis and structured equation modeling. The results of the study demonstrated: (1) The hypothesized factors (course overview, course objectives, assessments, 1148 class activities, course resources, and technology support) were aligned as a unified system in blended learning. (2) There was a positive relationship between the effectiveness of blended learning and student learning outcomes. Additional findings, explanations, and suggestions for future research were also discussed in the study.

Nurturing Employee Engagement at Workplace and Organizational Innovation in Time of Crisis With Moderating Effect of Servant Leadership

The current study strives to examine the impact of HR practices, working condition, intergroup relations, goal congruence, passion for work and organizational learning culture toward employee engagement and organizational innovation. In addition to that the moderating effect of servant leadership is tested between employee engagement and organizational innovation. The research design of this study is grounded in quantitative research approach. Data were retrieved from employees working in Saudi manufacturing organizations. Overall, 241 respondents have participated in this voluntarily research survey. Research framework was tested with structural equation modeling technique. Results revealed that human resource prac-tices, working condition, intergroup relations, passion for work, goal congruence and organizational learning culture have explained large variance R-2 52.8% in measuring employee work engagement. Similarly, organizational innovation is measured with employee work engagement and servant leadership and explained substantial 55% variance in organizational innovation. Likewise, the results of the blindfolding analysis revealed substantial predictive power Q(2) 41.4 to predict organizational inno-vation. Therefore, in determining employee work engagement at workplace goal congruence has shown substantial effect size f(2) when compared with other exogenous constructs. Practically, this research suggests that goal congruence, human resource practices, and servant leadership are core factors which enhance employee engagement at workplace and organiza-tional innovation in time of crisis and therefore need managerial attention. This study is unique as it examines employee engagement behavior with an integrative research framework. In addition to that the role of servant leadership has been studied as moderator between the relationship of employee engagement and organizational innovation.

The mediating role of learner empowerment in the relationship between the community of inquiry and online learning outcomes

The COVID-19 pandemic has necessitated a rapid shift to online learning, making the Community of Inquiry (CoI) framework increasingly relevant for creating meaningful and effective online learning experiences. However, the impact of CoI presences (i.e., teaching, social, and cognitive presence) on students' learning outcomes has been inconsistent in the literature, and a recent meta-analysis has identified a publication bias in this relationship, suggesting the need for a further investigation. This study aimed to enhance our understanding of how the CoI presences influence students' actual learning outcomes by incorporating learner empowerment as an essential learner characteristic. This study was conducted in two undergraduate courses that were abruptly shifted online due to the COVID-19 lockdown. Structural equation modeling was used to examine the relationship between the CoI presences, learner empowerment, and actual learning outcomes. The results show that learner empowerment has a direct and positive impact on students' actual learning outcomes, and partially mediates the relationship between CoI presences and learning outcomes. The findings highlight the significant mediating role of learner empowerment within the CoI framework and offer valuable insights into the design of productive online learning communities.

Predicting factors influencing perceived online learning experience among primary students utilizing structural equation modeling Forest Classifier approach.

Introduction: Amid the COVID-19 pandemic, the temporary closure of educational institutions led to the adoption of remote or online learning delivery. Challenges, especially for grade schools were evident. Objective: This study aimed to identify factors affecting the perceived online discussion experience of Filipino primary students through distance learning in the National Capital Region, Philippines. Method: Variables such as cognitive presence, teaching presence, social presence, and online discussion experience were investigated simultaneously by utilizing the structural equation modeling (SEM) and random forest classifier (RFC) approach. A total of 385 currently enrolled Filipino grade school student participants were surveyed. Results: Results show that cognitive presence has the most significant impact on the perceived online discussion experience, followed by teaching presence, and social presence. This study is the first study that analyzed the online discussion experience among grade school students in online education in the Philippines considering SEM and RFC. It was seen that highly significant factors such as teaching presence, cognitive presence, social presence, triggering events, and exploration will lead to high and very high learning experience with grade school students. Conclusion: The findings of this study would be significant for teachers, educational institutions, and government agencies to improve the online delivery of primary education in the country. In addition, this study presents a reliable model and results which can be extended and applied for academicians, educational institutions, and the education sector to develop ways in enhancing the online delivery of primary education worldwide.

Introduction: Au milieu de la pandémie de COVID-19, la fermeture temporaire des établissements d'enseignement a conduit à l'adoption de la prestation d'apprentissage à distance ou en ligne. Les défis, en particulier pour les écoles primaires, étaient évidents. Objectif: Cette étude visait à identifier les facteurs affectant l'expérience de discussion en ligne perçue des élèves philippins du primaire par le biais de l'apprentissage à distance dans la région de la capitale nationale, aux Philippines. Méthode: Des variables telles que la présence cognitive, la présence dans l'enseignement, la présence sociale et l'expérience de discussion en ligne ont été étudiées simultanément en utilisant l'approche de structural equation modeling (SEM) et de Random Forest classifier (RFC). Un total de 385 élèves philippins actuellement inscrits à l'école primaire ont été interrogés. Résultats: Les résultats montrent que la présence cognitive a l'impact le plus significatif sur l'expérience de discussion en ligne perçue, suivie de la présence pédagogique et de la présence sociale. Cette étude est la première étude qui a analysé l'expérience de discussion en ligne parmi les élèves du primaire dans l'éducation en ligne aux Philippines en tenant compte du SEM et du RFC. Il a été constaté que des facteurs très importants tels que la présence d'enseignement, la présence cognitive, la présence sociale, les événements déclencheurs et l'exploration conduiront à une expérience d'apprentissage élevée et très élevée avec les élèves du primaire. Conclusion: En outre, cette étude présente un modèle et des résultats fiables qui peuvent être étendus et appliqués aux universitaires, aux établissements d'enseignement et au secteur de l'éducation afin de développer des moyens d'améliorer la prestation en ligne de l'enseignement primaire dans le monde entier.

Study of the Effect of COVID-19 on Nurses' Job Burnout and its Consequences

Background: During the COVID-19 pandemic, nurses experience a high workload and stressful psychological stimuli that affect their mental and emotional health, which may lead to burnout symptoms. Therefore, this study aimed to analyze the effect of COVID-19 on nurses' job burnout and investigate its consequences. Method(s): The present study is an applied descriptive study, and data collection was performed using surveys. The study was conducted on 107 nurses working in Shahid Mohammadi and Khalij-e-Fars hospitals of Bandar Abbas, Hormozgan. The level of job burnout was measured using the Oldenburg Burnout Inventory (OLBI), job satisfaction by Job Satisfaction Questionnaire, and depression by Beck Depression Inventory (BDI). The data were analyzed via structural equation modeling by PLS 3 software. Result(s): Overall, the mean job burnout level was higher than the average (3.45). The results, at the 95% confidence level and the significance value of > 1.96, showed that poor organizational resources and traumatic events have a direct and significant effect on nurses' job burnout;however, the impact of workload on job burnout was not confirmed. The results also showed that nurses' job burnout has a direct and significant relevance with depression, job dissatisfaction, and low quality of care. Conclusion(s): Poor organizational resources and traumatic events increased job burnout. Job burnout increased depression, and also reduced job satisfaction and quality of care. Situational and personal factors have a significant role in decreasing nurses' job burnout. It is necessary to provide a better work environment, good intrapersonal relationships, and personal skills training courses.Copyright © 2023 The Author(s);Published by Kerman University of Medical Sciences.

Home-based workouts in the era of COVID-19 pandemic: the influence of Fitness YouTubers' attributes on intentions to exercise

Purpose: Home-based workouts via fitness YouTube channels have become more popular during the pandemic era. However, few studies have examined the role of social media personae related to intention to exercise. The purpose of this study was to investigate the structural relationships between fitness YouTuber attributes: perceived physical attractiveness (PPA), perceived social attractiveness (PSA), perceived similarity (PS), parasocial relationships (PSRs), wishful identification (WI), physical outcome expectations (POEs), and continuous intention to work out with fitness YouTubers (CIWFY). Design/methodology/approach: This study considered fitness YouTube channel viewers as the unit of analysis. An online survey was conducted to empirically develop and test the research model using structural equation modeling (SEM). Findings: The SEM empirical findings revealed that the PSRs were significantly influenced by PSA, PPA, and PS. Also, WI was significantly affected by PPA and PS. Furthermore, POEs were significantly impacted by PPA and PSRs. POEs affected the CIWFY. Lastly, PSRs and POEs mediated the influence of PSA and PPA on the CIWFY. Originality/value: The psychological impacts of exercising to online fitness videos in the era of COVID-19, with its untact (no contact) social norms is timely. The study model demonstrated the fitness YouTube viewers' cognitive path from perceptions toward fitness YouTubers' attributes to behavioral intention. To be specific, the current study demonstrated how three attribution types (i.e. PPA, PSA, and PS) of fitness YouTubers affect viewers' PSRs and WI with fitness YouTubers, along with POEs and CIWFY. Along with health practitioners, fitness YouTubers who want to captivate viewers on their channels might need to consider self-attributes from their viewers' standpoint and should build psychological bonding with viewers. [ FROM AUTHOR] Copyright of Internet Research is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Impact of e-service quality on e-loyalty of online banking customers in Pakistan during the Covid-19 pandemic: mediating role of e-satisfaction

This study explores the mediating role of e-satisfaction during the pandemic on the relationship between e-service quality and e-loyalty of banking customers in Pakistan. The data were collected from 442 customers of online banking services in Pakistan during the Covid-19 pandemic, following a survey-based study. Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) and Preacher and Hayes (Behav Res Methods, 40(3):879-891, 2008) mediation technique which utilizes the bootstrapping method has been used to explore mediation. The findings show that e-service quality has a significant positive effect on the e-loyalty of the customers of online banking services. Relationships between e-service quality and e-loyalty of online banking customers in Pakistan are significantly and fully mediated by their online satisfaction in unusual situations. This study would help the bankers to implement more effective marketing strategies to retain their customers and attract potential customers, particularly during non-normal situations like the Covid-19 pandemic. It will help them identify the areas of e-services that need improvement to enhance the satisfaction and loyalty of the customers. The bootstrap method for mediation along with Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) leads to using a more sophisticated methodological technique to explore the mediation. The Oliver Expectancy-Disconfirmation Paradigm (EDP) in electronic banking setup during non-normal situations like the Covid-19 pandemic also served as a unique contribution to this study. Application of Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) mediation along with Preacher and Hayes (Behav Res Methods, 40(3):879-891, 2008) leads to more robust findings for the study in non-normal situations like the Covid-19 pandemic. The study findings add scientific value as they are applicable to the banking sector in particular in non-normal situations like the Covid-19 pandemic and the overall service sector in general. Further, as two different methods of mediation have been employed and this makes the study more rigorous and scientific.

The Role of Digital Innovation and Its Impact on Competitiveness and Performance: The Case of Business Hotel in Indonesia: Acces la Success

This research examines the effect of digital innovation on the competitiveness and performance of hospitality businesses in Indonesia. This research was conducted with a quantitative research approach. Participants in this study are managers of hotel companies that implement online systems in Indonesia. The samples in this study were 218 respondents. Hypotheses are tested using the Structural Equation Modeling method and processed using Amos Software Version 23. The results show that there is a positive and significant effect between digital innovation on competitiveness, digital innovation and competitiveness also effect hotel business performance positively and significantly. We also found that competitiveness can mediate the effect of digital innovation on business performance. Therefore, we suggest improving business performance with enhancing competitiveness, to improve competitiveness can be done by increasing the implementation of digital innovation.

Personality and image as predictors of the intention to revisit and recommend tourist destinations

Undeniably, the new normality caused by COVID-19 presents an enormous challenge for tourist destinations to become more attractive to visitors. Thus, the purpose of this study is to analyze the impact of destination personality and image on tourist behavior in Peru. This quantitative and cross-sectional analysis targeted 998 national tourists via a non-probabilistic convenience sampling. The study employed AMOS 24 statistical software for exploratory and confirmatory factor analysis. The results showed positive effects of social innovativeness (β = 0.374), performance (β = 0.404), and honesty (β = 0.191) on an affective image. Likewise, the study confirms the favorable effects of social innovativeness (β = 0.524), performance (β = 0.156), and honesty (β = 0.280) on a cognitive image. Furthermore, the effects of a cognitive image on the intention to revisit (β = -0.756) and intention to recommend (β = -0.756) are also measured. In addition, the findings support the positive effects of an affective image in intention to revisit (β = 1.549) and intention to recommend (β = 1.547);all results obtained a significance less than 0.05 (p < 0.001). This study concludes that brand personality is a valuable concept that can suggest strategies to improve the brand image, so the personality of tourist destinations should be congruent with the personality of tourists. © Jose Joel Cruz-Tarrillo, Karla Liliana Haro-Zea, Edison Effer Apaza Tarqui, 2023.