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Consumers are increasingly embracing innovative technologies for enhanced experiences. This study delves into the banking consumer brand experience through the lens of augmented reality (AR). The focus is on mobile augmented reality applications within financial institutions, which contribute to a more enjoyable and immersive customer experience. Specifically, the research highlights the utilisation of mobile augmented reality applications by a Pakistani bank and examines its influence on consumer loyalty and sustained engagement, with a particular emphasis on the AR brand experience.

The authors conducted a comparative study between married and unmarried consumers with sample sizes of 178 and 172, respectively. The results were analysed through structural equation modelling using SmartPLS.

The study's outcomes show that AR brand experience for the unmarried sample category is positive and higher than a married one. This is an excellent opportunity for the banking sector in Pakistan to invest more in innovative technologies.

The current study investigates the brand experience in the banking sector from the perspective of AR technology which contributes to the AR literature.

This study aims to investigate how gamification, namely, WeChat’s cultural gifting function, improves emotional involvement among three generations (Y, X and silver) in mobile payments. It draws attention to the beneficial effects of cultural components and digital intimacy on gamified mobile payment systems.

The data were collected from Y, X and silver generation in Dalian, China. The users were well equipped with the WeChat pay features and had experience. The PLS-SEM software was used to assess the data.

The findings show that consumer word of mouth and loyalty are positively impacted by perceived utility, fun, and enjoyment. Besides, gamification components like fun and playfulness have a favourable effect on how useful mobile payments are judged to be. It demonstrates how delighted and ecstatic users are with WeChat Hongbao. In addition, the positive moderation effect of intimacy on the hypothesised connections shows that all three generations are likely to accept gamified money features. These results provide a substantial contribution to our comprehension of gamification in the context of mobile payment services for all three generations.

The study is distinctive because it focuses on how China’s three generations use WeChat Pay for routine transactions. The framework confirms that the gamification elements improve user performance and encourage continued usage of mobile payment systems.

Este estudio investiga cómo la gamificación, específicamente la función de regalos culturales de WeChat, mejora la participación emocional entre tres generaciones (Y, X y plata) en los pagos móviles. Se presta atención a los efectos beneficiosos de los componentes culturales y la intimidad digital en los sistemas de pago móvil gamificados.

Los datos fueron recopilados de las generaciones Y, X y plata en Dalian, China. Los usuarios estaban familiarizados con las características de pago de WeChat y tenían experiencia. Se utilizó el software PLS-SEM para evaluar los datos.

Los resultados muestran que la reputación y la lealtad del consumidor son positivamente influenciadas por la utilidad percibida, la diversión y el disfrute. Los componentes de gamificación, como la diversión y la jugabilidad, tienen un efecto favorable en cómo se juzga la utilidad de los pagos móviles. Se demuestra cuán encantados están los usuarios con WeChat Hongbao. Además, la moderación positiva de la intimidad en las relaciones supuestas muestra que las tres generaciones tienen probabilidades de aceptar las características de dinero gamificado. Estos resultados contribuyen sustancialmente a nuestra comprensión de la gamificación en el contexto de los servicios de pago móvil para las tres generaciones.

El estudio es novedoso ya que se centra en cómo las tres generaciones de China utilizan WeChat Pay para transacciones rutinarias. El marco confirma que los elementos de gamificación mejoran el rendimiento del usuario y fomentan el uso continuado de los sistemas de pago móvil.

本研究探讨了游戏化, 即微信的文化赠送功能, 如何提高三代人（Y、X和银发族）在移动支付中的情感投入。它引起了人们对文化成分和数字亲密关系对游戏化移动支付系统的有益影响的注意。

数据来自中国大连市的Y、X和银发族用户。用户对微信支付功能非常熟悉, 并具有使用经验。采用PLS-SEM软件对数据进行评估。

结果表明, 消费者的口碑和忠诚度受到了感知效用、乐趣和享受的积极影响。乐趣和趣味等游戏化组件对移动支付的有用性评估产生了积极影响, 展示了用户对微信红包的喜悦和兴奋程度。此外, 亲密关系对假设连接的正向调节效应表明, 三代人都可能接受游戏化货币功能。这些结果为我们理解移动支付服务背景下游戏化对三代人的贡献提供了实质性的帮助。

该研究独特之处在于它着眼于中国三代人如何将微信支付用于日常交易。该框架证实了游戏化元素如何提高用户绩效并鼓励继续使用移动支付系统。

This study aims to understand customer equity and loyalty using augmented reality (AR) and employee services in a physical retail environment. The current study investigated how customers’ experiences with AR-based and employee service affect their satisfaction, equity and loyalty.

A conceptual framework was developed by reviewing AR and employee services literature. The Smart PLS-SEM technique was used to test the responses of 620 Chinese respondents empirically.

The findings provided valuable insights into AR and employee services in a physical retail environment. Customers are more inclined to use AR services in the current business climate.

This study’s sample was drawn from a single city, with a total of 620 respondents, which may not be a complete representation of China as a whole. As a result, the results may not be generalizable to a single city.

Retail brand managers should emphasize implementing innovative technologies in the physical retail environment to retain and attract customers. Pandemic consumers are opting for innovative technologies as part of their shopping experience due to changes in business models.

The researchers recognized AR and employee services as innovative domains in physical retail stores because they can increase sales, customer equity and loyalty. As a result, the framework results are precious to practitioners interested in implementing such innovative technologies for retail stores.

Consumers today actively participate in online purchasing experiences. As a result, it is critical to comprehend the behavioral aspects of novel technology usage, such as augmented reality (AR). AR apps enable beauty companies to create and design more immersive experience services. This study aims to highlight consumers’ perspectives on their continued desire to use AR app services.

A comparative study between China and South Korea was conducted with sample sizes of 458 and 315, respectively. Smart PLS was used for analysis.

The findings suggest that AR apps influence innovative consumers in China and South Korea to be satisfied with and continue to use such services. Previous research on technology acceptance model, information system success, AR and artificial intelligence (AI)-context-specific variables supported the findings.

This study contributes to the development of AR apps for beauty brands, as such technology revolutionizes how beauty brands work and grow. As a result, AR apps can pave the way for brands to provide an immersive experience to their customers.

The current study contributes to AR and AI drivers in the context of beauty brands by using novel technologies such as AR. AR integration with AI-context-specific variables indicates that consumers in China and South Korea are innovative and accept such technologies when purchasing beauty products online.

Emotional intelligence (EI) is crucial to determine the emotional labor (EL) strategies and satisfaction of teachers. The purpose of this paper is to investigate the relationships of EI with EL strategies, emotional exhaustion and teaching satisfaction (TS) of secondary teachers in private schools.

A self-administered questionnaire was used to collect data conveniently from 322 secondary teachers working in 22 private schools.

Results indicate that teachers’ EI positively affect surface acting, expression of naturally felt emotions (ENFE) and TS. Surface acting and ENFE are positively related with TS. Deep acting and ENFE exhibit positive relations with emotional exhaustion of teachers. The study also confirms direct as well as indirect effects of EI on TS through surface acting and ENFE.

This study recommends teachers to make a higher use of surface acting and ENFE because they produce the most TS and the least emotional exhaustion.

This is the first study that examines the mediating role of EL strategies for EI and TS.

This study seeks to examine the effects of perceived brand localness and foreignness on brand love via perceived brand coolness by incorporating the moderating impacts of local and global consumer identities on brand love while controlling the confounding effects of brand familiarity in the context of local and foreign digital retail banks.

This study collected 1,960 online responses (on local and foreign banks) from 980 consumers who often used local and foreign digital retail banking services. The analysis was performed on 1,766 responses through co-variance-based structural equation modeling.

This study discovered that perceived brand localness and foreignness were essential factors for driving brand love and perceived brand coolness toward local and foreign digital retail banks. However, perceived brand foreignness was a more effective driver than perceived brand localness. Importantly, perceived brand coolness emerged as a key mediator for shaping brand perceptions and love. Additionally, local and global consumer identities were effective moderators and brand familiarity was significant in enhancing brand love for local and foreign digital retail banks.

This study gives managers essential knowledge about crafting positioning, relationships and segmentation strategies to boost brand love and perceived coolness for local and foreign digital retail banks.

This novel study contributes new insights to the stimulus-organism-response and cultural identity theories by examining consumers’ brand perceptions and their impacts on consumer behavior in digital retail banking.

This study aims to fill the gap in existing studies that have analyzed the drivers of carbon dioxide (CO₂) emissions. The author investigate the long-run effects of energy types, urbanization, financial development and, the interaction between urbanization and financial development on CO₂ emissions.

Stochastic impacts by regression on population, affluence and technology model served as the framework for empirical modeling. Using annual time-series data for Tunisia, autoregressive distributed lag bounds test was used to examine the cointegration of the variables. Also, the fully modified ordinary least squares was used to estimate the emission effect of the explanatory variables. Further investigations were done using the principal component analysis and variance decomposition analysis.

Income, urbanization, trade and financial development exert upward pressure on CO2 emissions. However, the interaction between urbanization and financial development reduces the emission of CO2. Furthermore, primary energy use, energy intensity, electricity consumption and fossil fuel consumption have positive effects on carbon emission, while combustible renewables and waste, and electricity production from natural gas have negative effects on carbon emission.

The policy implication/recommendation indicates that the financial sector’s authorities can combat carbon emission by properly regulating the development and activities of the financial sector in urban areas in Tunisia. The promotion of the development and usage of cleaner energy is recommended to help reduce carbon emission. Policymakers need to promote environmentally friendly economic growth and development agenda.

The contribution of this study to the environmental degradation literature is that it offers evidence from Tunisia, which has not received much empirical attention. It also examines the effect of various forms of energy usage on carbon emission. To the best of the author’s knowledge, this is the first study to examine the interaction effect between urbanization and financial development on carbon emission. Also, if not the first, this study is among the earliest to use the principal component analysis as a part of the prediction of the carbon emission effect of energy variables.

The present study is a novel attempt to measure the impact of population growth, natural resource depletion, non-renewable energy consumption, growth of national income, remittances inflow and industrial output on carbon dioxide emissions in India during the period of 1980–2018.

Autoregressive distributive lag (ARDL) is used to achieve the objective. The application of FMOLS (fully modified ordinary least squares), DOLS (dynamic ordinary least squares) and CCR (canonical cointegrating regression) techniques illustrate statistical robustness.

The long-run ARDL results confirm that increase in population, national income and energy consumption have a positive and significant impact on pollution levels in India. In contradiction to this, long run results further reveal that the increase in natural resource depletion, industrial output and remittances inflow have insignificant and negative impact on pollution levels in India. Further, the empirical findings did not find any evidence for the applicability of the environmental Kuznets curve (EKC) in India during the study period.

The study is confined to only a few important determinants of CO₂ emissions in India. However, there is a large chunk of studies that have incorporated other determinants of CO₂ emissions. Specifying a few determinants of CO₂ emissions in India is itself a lacuna in the present study. Moreover, taking the time period from 1980 to 2018 is also one of the limitations of the study.

Plenty of research has been devoted to the causal relationship between the environment and its various determinants. However, not much attention has been paid to investigating the association between population growth, natural resource depletion, energy consumption, GDP per capita, remittances inflow, industry and carbon dioxide emissions in India. Since, CO₂ emissions are one of the widely accepted and applied emissions in EKC applications, which the present study intends to test. Moreover, the study employs advanced econometric techniques including ARDL framework, FMOLS, DOLS and CRR methodologies to achieve robust results. Such an investigation will potentially allow policymakers to frame efficient environmental and fiscal policies to achieve the desired results.

The continuous increase of CO₂ emissions in India has compelled policy makers to prioritize this issue as soon as possible and formulate national environmental policy for reducing the share of carbon dioxides emissions in climate change. The study could constitute the focus of future research.

The purpose of this paper is to investigate Pakistani bank front-line employees’ intentions to behave ethically by using the extended theory of planned behaviour (ETPB) into which religiosity (i.e. religious activity, devotion to rituals and belief in doctrine) is integrated as a moderating variable.

The authors collected 234 self-administered questionnaires and analysed them using SmartPLS 2.0, a second generation structural equation modelling technique.

This paper demonstrates that the ETPB can explain intentions to behave ethically. Moral norms (i.e. the rules of morality that people believe they ought to follow) and perceived behavioural control (i.e. people’s perceptions of their ability to perform a given behaviour) are the best predictors of ethical behavioural intentions. The effects of injunctive norms (i.e. perceptions of which behaviours are typically approved or disapproved in an organisation) and of perceived behavioural control on behavioural intent are moderated by religiosity.

Leading by example, providing ethics training, empowering employees and encouraging the expression of religiosity are proposed as ways to foster an ethical culture in the workplace.

Even though numerous empirical studies have utilised variants of the theory of planned behaviour to explain consumer behaviour, its applicability to ethical behaviour in the workplace has scarcely been explored. Moreover, its tests in non-western contexts are scant. This study demonstrates the applicability of the ETPB in a broader circumstantial and cultural context and enriches it with religiosity, a pertinent characteristic of billions of people around the world. Finally, this is one of the very few ethics studies focusing on banking, an industry fraught with allegations of moral breaches.

The study is designed to investigate whether women’s entrepreneurial success is affected by their emotional intelligence. It also investigates the mediating role of innovativeness in influencing the relationship of their emotional intelligence with entrepreneurial success.

Using a cross-sectional design, this study used a structured questionnaire to gather data from 274 women entrepreneurs spanning across various industries in north India. The data collected was analysed using the partial least squares structured equation modelling (PLS-SEM) technique.

The findings demonstrate a notable and positive association between emotional intelligence and the entrepreneurial success of women. Additionally, innovativeness was found to partially mediate the relationship between emotional intelligence and entrepreneurial success. Entrepreneurial experience moderates the relationship between emotional intelligence and entrepreneurial success. Furthermore, age was not observed to moderate the connection between emotional intelligence and entrepreneurial success.

This study provides valuable insights for female entrepreneurs seeking to achieve success by harnessing their emotional intelligence and fostering innovativeness in their entrepreneurial pursuits. The study mainly provides evidence on the conclusive role of emotional intelligence among women entrepreneurs in their success in the relatively underresearched context of India, thereby consolidating knowledge on gendered entrepreneurship.