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The purpose of this paper is to incorporate mobile payment (MP) self-efficacy, new technology anxiety, and MP privacy concerns into the basic TAM to explore MP adoption, particularly tap-and-go payment, among US consumers.

Data were collected through an online survey conducted among students at a Midwestern University in the USA. A total of 254 participants provided 240 useable responses.

MP self-efficacy significantly impacts perceived ease of use (PEOUMP) and perceived usefulness of MP (PUMP). These in turn impact MP attitude, which affects intention to use MP. Privacy concerns also impact attitude towards MP and MP use intention. New technology anxiety impacts PEOUMP, but not PUMP.

The study uses a convenience sample of young US consumers, which could limit the generalisability of the results. The study is also limited to tap-and-go payment.

US retailers have information on some of the factors that encourage MP adoption. Retailers need to address self-efficacy concerns, MP privacy concerns, and consumers’ perceptions of usefulness of the technology.

There has been little research on factors impacting tap-and-go payment adoption in the USA. The study highlights the roles of self-efficacy and privacy concerns. It focusses on tap-and-go payment, since this technology can enhance consumers’ retail experience.

There is a rich debate on the nature of Islamic banking (IB)–growth nexus and the direction of causality governing this nexus. This study aims to focus on this issue in the case of Saudi Arabia, the largest country-holder of Islamic Banks (IBs)’ assets worldwide. It assesses empirically the nature of dynamic interactions between IBs’ financing and the real performances in the non-oil private sector (investment and GDP) in the context of a dual banking system where IBs operate alongside their conventional counterparts.

This study employs the Bounds test in the context of reparametrized autoregression distribution lags (ARDL) models to analyse both long-run and short-run dynamics governing Islamic and conventional banks’ (CBs) financings on one hand and real investment and GDP in the private sector on the other hand over the 2007q1-2016q4 period. It also uses the Toda and Yamamoto (1995) augmented Granger-causality test to assess the direction of causality governing these dynamics.

The more important results are: there is a stable and significant long-run relationship between IBs’ financing and real performances in the private sector. This nexus is governed by the “feed-back hypothesis”, implying the validity of both the “supply-leading” and the “demand-following” hypotheses. In a dual banking system context, IBs exert two effects on the financing of their conventional counterparts: a negative “crowding-out” effect and a positive and “stimulating” effect which transmits through the “competition” channel. Finally, in the long-run, steady-state, real GDP is dissociated from CBs’ financing.

This paper highlights an issue that has not received the needed attention in the case of Saudi Arabia. It has also found novel results with important policy implications.

This study aims to investigate the impact of job loss on the mental health of individuals in Tunisia during the COVID-19 crisis.

In this research, the authors use the counterfactual decomposition technique and the potential outcome approach. In the first part, the authors calculated mental health indicators for all individuals included in the sample based on the World Health Organization-5 items. The individuals were then grouped into two subpopulations: the first group included those who had lost their jobs and the second group included individuals whose status in the labor market had remained unchanged. In the second part, the authors used the Blinder and Oaxaca decomposition to explain the mean difference in the mental health scores between the two groups and determine the factors contributing to this difference.

The empirical results identified symptoms of depressed mood, decreased energy and loss of interest in several individuals. Based on these three symptoms, the authors were able to classify individuals into three types of depression: mild, moderate and severe. In addition, it appeared that job loss had significantly contributed to the worsening mental health of the individuals.

Although the psychological impact of the COVID-19 outbreak among health-care professionals has been the subject of other studies in health literature on Tunisia, to the best of the authors’ knowledge, no research has addressed the impact of job loss on the mental health of Tunisian workers. Thus, this study fills this gap in the literature.

Smartphone apps collect users' personal information, which triggers privacy concerns for app users. Consequently, app users restrict apps from accessing their personal information. This may impact the effectiveness of in-app advertising. However, research has not yet demonstrated what factors impact app users' decisions to use apps with restricted permissions. This study is aimed to bridge this gap.

Using a quantitative research method, the authors collected the data from 384 app users via a structured questionnaire. The data were analysed using AMOS and fuzzy-set qualitative comparative analysis (fsQCA).

The findings suggest privacy concerns and risks have a significant positive effect on app usage with restricted permissions, whilst reputation, trust and perceived benefits have significant negative impact on it. Some app-related factors, such as the number of apps installed and type of apps, also impact app usage with restricted permissions.

Based on the findings, the authors provided several implications for app stores, app developers and app marketers.

This study examines the factors that influence smartphone users' decisions to use apps with restricted permission requests. By doing this, the authors' study contributes to the consumer behaviour literature in the context of smartphone app usage. Also, by explaining the underlying mechanisms through which the principles of communication privacy management theory operate in smartphone app context, the authors' research contributes to the communication privacy management theory.

This study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.

The study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).

The findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.

To multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.

This study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

The purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.

The proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.

The findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.

The current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.

This study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.