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Variations in customer expectations pose a challenge to service quality improvement in the airline industry. Understanding airline customers' expectations and satisfaction help service providers improve their offerings. The extant literature examines airline passengers' expectations in isolation, neglecting the overall impact of online reviews on service quality improvement. This paper systematically evaluates the airline industry's passengers' expectations and satisfaction using expectation confirmation theory (ECT) and the SERVQUAL framework. The paper analyzes online reviews to examine the relationship between airline service quality attributes and passengers' satisfaction.

The SERVQUAL framework was employed to examine the effects of customer culture, the reason for traveling, and seat type on customer's expectations and satisfaction across a large sample of airline customers.

A total of 17,726 observations were gathered from the Skytrax review website. The lowest satisfaction ratings were from passengers from the USA, Canada and India. Factors that affect perceived service performance include customer service, delays and baggage management. Empathy and reliability have the biggest impact on the perceived satisfaction of passengers.

This research increases understanding of the consumer expectations through analysis of passengers' online reviews. Results are limited to a small sample of airline industries.

This study provides airlines with valuable information to improve customer service by analyzing online reviews.

This study provides the opportunity for airline customers to gain better services when airline companies utilize the findings.

This paper offers insights into passengers' expectations and their perceived value for money in relation to seat types. Previous studies have not investigated value for money as a construct for passengers' expectations and satisfaction relative to service quality dimensions. This paper addresses this need.

This study aims to explore the enabling and suppressing effects of leader affiliative and aggressive humor on employee knowledge sharing form the lens of emotional contagion process, which provides theoretical reference for the applications of different leader humor style, thereby enhancing employee knowledge sharing.

This study collected three waves of data and surveyed 379 employees in China. Regression analysis, bootstrapping and latent moderation structural equation were adopted to test the hypotheses.

Leader affiliative humor has a positive impact on employee knowledge sharing, whereas leader aggressive humor has a negative impact on employee knowledge sharing. Positive emotion plays a mediating role between leader affiliative humor and employee knowledge sharing, and negative emotion plays a mediating role between leader aggressive humor and employee knowledge sharing. Moreover, supervisor–subordinate Guanxi moderates the relationship between leader affiliative humor and positive emotion, and between leader aggressive humor and negative emotion, respectively.

This study not only adds to the knowledge sharing literature calling for the exploration of antecedents and mechanism of employee knowledge sharing, but also contributes to our comprehensive understanding of the suppressing and enabling effects of leader humor style on employee knowledge sharing. Besides, this study also unpacks the dual-path mechanism and boundary condition between leader humor style and employee knowledge sharing and augments the theoretical explanations of emotional contagion theory between leader humor style and employee knowledge sharing.

Heritage tourism is an increasingly popular form of tourism that allows individuals to connect with the past and immerse themselves in cultural and historical narratives. Hence, the purpose of this study is to explore the intricate relationships among vicarious nostalgia (VNOS), memorable tourism experiences (MTEXs) and their collective influence on tourists’ behavioral intentions (BINTs). Additionally, this study examines the moderating effect of social return (SN) in the context of heritage tourism.

Data were gathered using a self-administered questionnaire from 259 tourists visiting heritage sites in Jaipur. The proposed model was tested using structural equation modeling.

The results confirmed that VNOS had a significant positive impact on BINT in the context of heritage tourism. The causal relationship between VNOS and BINT was fully mediated by MTEX. The results further verified that the presence of SN strengthens the association between MTEXs and BINT.

This research will guide the firms associated with heritage tourism to target specific cohorts interested in heritage tourism. Policymakers may find it easier to create unique offerings and packages that appeal to visitors interested in historical sites and produce memorable travel experiences. One key implication is to create “social media friendly spaces” at different locations of the sites. To increase tourism, managers may use the findings from this research to create plans for the ethical promotion and protection of cultural and natural heritage sites.

Overall, this research advances the understanding of the role of VNOS in heritage tourism by elucidating its cognitive and emotional aspects and their subsequent influence on the memorability of tourist experiences and BINT s. Additionally, by considering the moderating effect of SN, this study provides a comprehensive view of how these factors collectively shape tourists’ decisions and actions in the context of heritage destinations. This research has been conducted in the heritage city of Jaipur (North-Western India), which, surprisingly – despite its popularity as a heritage tourism site – has not been sufficiently explored in the scholarly research.

This scholarly investigation explores the Malaysian golfers' experience in Malaysia, Thailand and Indonesia golf courses. The study sheds light on the unique attributes of golf tourism in each country, including the courses, facilities, services and overall golfing experiences offered to golf tourists.

Qualitative data were procured through in-depth semi-structured interviews with a cohort of 13 Malaysian golfers.

The findings indicate that golfers' experiences are affected by the quality of service, facilities, price and course condition, ultimately contributing to their satisfaction level. The evidence suggests that Malaysian golfers are comparatively more satisfied with golf courses in Thailand and Indonesia than in Malaysia.

The study underscores the importance of golf course attributes in retaining existing golfers and enticing new ones. Besides, as comparative research on golf course attributes and destination preferences is scant, this study has far-reaching implications, empowering Malaysian golf course managers to augment the appeal and quality of their golf course destination to optimise the behavioural intentions of golf tourists.

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

This study aims to assess how real income, oil prices and gold prices affect housing prices in China from 2010 to 2021.

This study uses a novel bootstrap autoregressive distributed lag (ARDL) testing to empirically analyze the short and long links among the tested variables.

The ARDL estimations demonstrate a positive impact of oil price shocks and real income on housing market prices in both the phrases of the short and long run. Furthermore, the results reveal that gold price shocks negatively affect housing prices both in the short and long run. The result can be attributed to China’s housing market and advanced infrastructure, resulting in a drop in housing prices as gold prices increase. Additionally, the prediction of housing market prices will provide a base and direction for housing market investors to forecast housing prices and avoid losses.

To the best of the authors’ knowledge, this is the first attempt to analyze the effect of gold price shocks on housing market prices in China.

Emerging literature on fintech has shown that consumers have been slow to adopt fintech-based products and services. However, limited literature is available regarding the factors associated with consumers' adoption of these products and services. This study aims to investigate the factors that are associated with consumer adoption of fintech-based products and services.

Data on the usage and perception of smartphone financial apps by US residents ages 18–70 was collected in the fall of 2020. Based on the Extended Post-Acceptance Model (EPAM) framework, Structural Equation Modeling and Confirmatory Factor Analysis were applied to inspect how financial capability, perceived security and perceived usefulness affect fintech adoption.

Fintech proficiency, investment risk tolerance and perceived safety are positively associated with the frequency of fintech application use upon adoption. Consumers are more likely to feel safer if they are more financially capable and technologically proficient. Consumers with higher risk tolerance tend to believe fintech apps are safe to use. Consumers with higher fintech proficiency are more likely to recognize the usefulness of fintech services.

The study introduces a revised EPAM framework with antecedent factors, fintech proficiency and risk tolerance to investigate the factors associated with consumer adoption of fintech-based products and services. The key findings of this study validate the EPAM in the American context. Additionally, this research is among the first to have confirmed the direct relationship between perceived security and fintech adoption. The results have practical implications for existing fintech companies, banks and financial institutions, policymakers and financial advisory practices considering adopting fintech-based services for their clients.

The purpose of this study is to discuss the United Arab Emirates’ (UAE) favorable attitude toward the financial sector’s digital transformation and the development of FinTech due to the rise of financial technology. FinTech blends innovation and technology to provide financial inclusion to stakeholders through various new products and services such metaverse and artificial intelligence.

A quantitative research approach was used to empirically validate the suggested research model by using 260 Emirates-based banking authorities and administrators’ data.

The findings indicate that FinTech adoption had a substantial impact on the competitiveness and performance of the UAE banking industry during COVID-19 times. The research indicates that adequate FinTech implementation and alignment with technology management directly influence the performance of the UAE’s banking sector in difficult times.

This study is critical because the UAE banking sector serves diverse nationalities, and its success is contingent on FinTech and its competitive edge.

India started economic reforms at a rapid pace to catch up the world economy by following the services-led-growth model during the post-liberalisation period. Over the years, the growing unemployment rate posits a re-look into the dynamics of growth model for wider work force participation. In this backdrop, the paper aims to examine the dynamics of structural changes in employment pattern in view of economic growth led by services-led growth model in India.

The study employs a non-linear autoregressive model (NARDL) to examine the effect of the growth rates in three broad economic sectors namely agriculture and allied, services and industry on work force participation representing the employment opportunities in India.

The results highlight that the rapid expansion of the service sector has not occurred with enough employment opportunities by the same rate. By contrast, the growth in the industrial sector significantly creates employment opportunities in the short and long run. These results support the industry led growth model over the services for sustainable and inclusive economic growth in the country.

The study relies on combined labour force participation rates rather than gender-specific rates. Further, the regulatory, working conditions and economic incentives may affect the gender-specific engagement of the labour force in three broad sectors.

The results offer important insight into changing patterns in employment with policy lessons. A wider workforce force participation calls for expansion of manufacturing activities through pro-industry programmes.

The study makes pioneer efforts to examine the dynamics of labour force participation with respect to the growth of three broad economic sectors of the Indian economy. The results provide new insights with policy implications for the changing employment pattern and policy response.

Customer co-creation behaviors significantly affect a firm's performance and sustainable growth. This study tested the mediating role of corporate reputation in the relationship between corporate hypocrisy and two types of customer co-creation behaviors: customer citizenship behavior and customer participation behavior. The study also investigated the moderating effect of self-corporate brand connection on the corporate hypocrisy–corporate reputation relationship and the indirect relationship between corporate hypocrisy and customer co-creation behavior through corporate reputation.

The authors conducted a two-wave research survey with 346 Korean bank customers and tested our hypotheses using PROCESS Macro.

Corporate reputation mediated the relationship between corporate hypocrisy and customer citizenship/participant behavior. The negative effect of corporate hypocrisy on corporate reputation was more pronounced when self-corporate brand connection was high. Self-corporate brand connection further moderated the indirect effect of corporate hypocrisy on customer citizenship/participant behavior through corporate reputation.

The results clearly explain how corporate hypocrisy affects customer co-creation behavior. This study advances corporate hypocrisy and corporate reputation research by proposing and verifying a moderated mediation model.