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Alzheimer’s disease (AD) is the primary cause of dementia in elderly people and needs extensive professional care. The aim of our study was to assess the level of knowledge among primary health-care providers, primarily Family Physicians (FPs) and community pharmacists (CPs), about AD and its treatment.

A cross-sectional study using Google Forms sent by email or message to FPs and CPs in Istanbul in June–July 2023. Turkish modified the Alzheimer’s Disease Knowledge Scale (ADKS) and Alzheimer’s Medicines Knowledge Level Questionnaire (AMKLQ) were used in this study.

A total of 63 FPs with a mean age of 35.3 ± 7.8 and 138 CPs with a mean age of 38.6 ± 12.6 enrolled in the study. There was no statistically significant difference between FPs and CPs in terms of total ADKS score (19.82 ± 2.30 vs 19.23 ± 3.08, p = 0.136), but there was a significant difference in terms of total AMKLQ score (4.31 ± 1.40 vs 3.81 ± 1.49, p = 0.020). Health-care providers with Alzheimer’s training had a higher total AMKLQ score (OR =1.08 CI 95% [1.03–1.14], p = 0.012).

FPs’ knowledge of AD is on par with that of CPs. Nevertheless, it has been observed that FPs have more proficiency in delivering accurate responses to the AMKLQ and ADKS inquiries, which encompass crucial details regarding the treatment of AD. The sole determinant of the highest mean AMKLQ score was found to be professional education. Collectively, these arguments emphasize the need for primary health-care practitioners to obtain comprehensive and ongoing education regarding AD and its treatment.

This research is the first to use bibliometric analysis to provide insight into the landscape and forecast the future of customer experience research in the banking sector.

We used bibliographic coupling and co-word analysis to delineate the existing knowledge structure after reviewing 338 articles from the Web of Science database.

The bibliographic coupling analysis revealed five key clusters: customer engagement and experience in digital banking; customer experience and service management; customer experience and market resilience; digital transformation and customer experience; and digital technology and customer experience—each representing a significant strand of current research. In addition, the co-word analysis revealed four emerging themes: customer experience through AI and blockchain, digital evolution in banking, experience-driven ecosystems for customer satisfaction, and trust-based holistic banking experience.

These findings not only sketch an overview of the current research domain but also hint at emerging areas ideal for scholarly investigation. While highlighting the industry’s rapid adaptation to technological advances, this study calls for more integrative research to unravel the complexities of customer experience in the evolving digital banking ecosystem.

This review presents a novel state-of-the-art analysis of customer banking experience research by employing a science mapping via bibliometric analysis to unveil the knowledge and temporal structure.

The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose of the paper is to determine the influence of the antecedents subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk, trialability and government support on the existing constructs of the technology acceptance model (TAM) and to test measurement invariance and the moderating effect of the demographic variables on the relationship between the latent constructs used in this augmented TAM.

A survey questionnaire was administered on internet banking users and a total of 300 responses were collected. A two-step approach suggested by Hair et al. (2006) and Schumacker and Lomax (2004) was used in this study. The proposed model was assessed using the confirmatory factor analysis approach. The structural model was then tested in order to establish nomological validity. The data based on four demographic dimensions gender, age, income, education were divided into two groups for each of these demographic dimensions. The invariance test was first performed on the measurement model and then on the structural model. The measurement model and structural model were subjected to tests of equivalence of parameters across groups.

To a large extent the results of the study supports the proposed model and thereby contributes to understand the influence of subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk and government support on internet banking adoption. The predictor variables in the augmented TAM were able to explain 29.9 per cent of the variance in the actual usage of internet banking as compared to the TAM which was able to explain only 26.5 per cent variance in the actual usage of internet banking. A significant difference in the relationship between the different constructs of the model was observed when the model was subjected to multi-group invariance testing.

The study suffers from the same limitations as most other studies involving TAM. In this study self-reported measures about the usage were taken as the actual usage. The findings of the study can be of use to marketers for target-specific marketing by customizing the marketing campaign focussing on the factors that were found to be strong influencers leading to the usage of internet banking for each target audience.

The main challenge in this study was to develop the conceptual model for the internet banking adoption by extending the TAM and to get a robust theoretical support from the extant literature for the relevant factors along with their relationship to uncover new insights about factors responsible for the internet banking adoption. The augmented model had an improved predictive capability and explanatory utility.

The purpose of this paper is to investigate the career experiences of Turkish Cypriot women solicitors in Britain, by examining their choices of employment or self‐employment.

The study adopts a critical realist approach considering the macro‐contextual and micro‐agentic aspects of Turkish Cypriot women's career development. Applying “the instrumental case study” approach, it explores the career experiences of four Turkish Cypriot women solicitors. Case study material was collected through semi‐structured interviews.

The paper argues that one cannot talk of ethnic enclaves in positive or negative terms, without considering layered individual experience. Their life and career trajectory is marked by their ethnicity and migration that is characterised by dual processes of break with tradition and later return to tradition during which identities are tested and usually reaffirmed where Turkish Cypriots may rediscover their Turkish Cypriotness.

The study reveals that macro‐, meso‐ and micro‐effects are responsible for the polarisation of opportunities in the ethnic enclaves.

This paper aims to present a theoretical account of the connection between artificial intelligence (AI) enabled technologies and Muslim-friendly tourism experiences (MFTX) using the customer experience (CX) theory, reference group theory and theory of tourism consumption systems.

A model research design is adopted to build a theoretical framework that predicts relationships between constructs. Critical assessment in tourism and AI literature is used to explore AI-enabled technologies in Halal-friendly tourism.

The findings of this paper have conceptualised the CX theory for Muslim travellers satisfying their religious needs in Halal-friendly tourism by suggesting a new construct called the MFTX. It also offered a theoretical model for using AI-enabled technologies to improve the MFTX.

This study provides a new theoretical model for using AI-enabled technologies to improve the MFTX. This paper is also expected to provide suggestions for tourism operators and service providers to cater to Muslim tourists’ needs using AI technologies.