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Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

The purpose of this study is to empirically analyse the key factors that influence the adoption of financial technology innovation in the country Germany. The advancement of mobile devices and their usage have increased the uptake of financial technology (FinTech) innovation. Financial sectors and startups see FinTech as a gateway to increase business opportunities, but mobile applications and other technology platforms must be launched to explore such opportunities. Mobile application security threats have increased tremendously and have become a challenge for both users and FinTech innovators. In this paper, the authors empirically inspect the components that influence the expectations of both users and organizations to adopt FinTech, such as customer trust, data security, value added, user interface design and FinTech promotion. The empirical results definitely confirm that data security, customer trust and the user design interface affect the adoption of FinTech. Existing studies have used the Technology Acceptance Model (TAM) to address this issue. The outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to achieve economies of scale for global intensity.

In this paper, the authors empirically consider factors that influence the expectations of both users and organizations in adopting FinTech, such as customer trust, data security, value added, the user design interface and FinTech promotion. The results confirm that customer trust, data security and the user design interface affect the adoption of FinTech. This research proposes a model called “Intention to adopt FinTech in Germany,” constructs of which were developed based on the TAM and five additional components, as identified. The outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to achieve economies of scale for global intensity.

The authors demonstrated that the number of mobile users in Germany is rapidly increasing; yet the adoption of FinTech is extremely sluggish. It is intriguing to reckon that 99 per cent of respondents had mobile devices, but only 10 per cent recognized FinTech. Further, it is significantly discouraging to perceive that only 10 of the 209 respondents had ever used FinTech services, representing under 1 per cent of the surveyed respondents. It is obvious that the FinTech incubators and banks offering FinTech services need to persuade their customers regarding the usefulness and value added advantages of FinTech. This study has been carried out to determine the key factors that influence and provoke FinTech adoption.

There are a few limitations in this study. Initially, this study focuses on FinTech implementation in Germany and not the whole of Europe. In addition, demographic and regional factors could be consolidated to inspect their particular impact on the intention to use FinTech services, particularly among younger users with a high interest in technology. Without these constraints, the authors could have gathered additional data for a more robust result and obtained new knowledge to further upgrade polices to enhance the FinTech adoption process. Future analysts can assist exploration of this topic by altering determinants in the unified theory of acceptance and use of technology model. Additionally, because the cluster sampling technique was used, the reported outcomes are not 100 per cent generalized to the German population. To accomplish a complete generalization, a basic random sampling strategy for the whole population is essential. The authors could also alleviate some limitations by examining how online vendors are performing with regard to FinTech to satisfy the needs of customers via case studies.

This study was conducted in Germany and might have produced different results if held in other countries, as technology acceptance is different in a different environment. For instance, the authors suspect that the results would be somewhat different, were the research to be conducted in the United Kingdom, where take-up of FinTech appears to be far greater than in Germany. Therefore, the authors’ results are only generalized for the country of Germany and not other geographical areas. Furthermore, respondents may have been influenced by past experiences about FinTech usage which might have led them to neglect to answer some questions. In spite of this, this study did not consider the influence of moderating variables such as age, education and FinTech services experience. The authors also neglected social impact and control factors, as their corresponding items disregarded the instrument dependability. Accordingly, the authors could not quantify social impact and control factors on FinTech use.

The outcomes of this study can be used to improve the performance of FinTech strategies and enable banks to accomplish economies of scale for global intensity. The authors do hope that this paper will serve to encourage FinTech innovators in their approach to FinTech and enable FinTech researchers to use past work with more prominent certainty, resulting in rigid hypothesis improvement in the future.

A considerable amount of revenue has been invested in the information technology (IT) infrastructure of banks to enhance their performance, but investment in IT remains a substantial risk regarding the return on investment (Carlson, 2015). Most banks and financial organizations around the globe are engaging in an extreme pressure from their customers and competitors to enhance IT.

Due to the popularity of mobile devices and the development of artificial intelligence (AI), AI-powered mobile fitness applications (MFAs) have entered people's daily lives. However, the extant literature lacks empirical investigations that explore users' continuance usage intentions regarding AI-powered MFAs. To fill this research gap, this paper employs goal-setting theory to establish a research model for exploring how AI-enabled features (i.e. intelligence and anthropomorphism) affect users' perceptions of goal difficulties and goal specificities, which in turn affect their MFA continuance usage intentions.

This paper uses a survey method to analyze the research model, and a total of 223 responses are collected. The partial least squares (PLS) technique is utilized for data analysis.

The results show that intelligence and anthropomorphism affect the continuance usage intention of MFA users through their goal difficulty and specificity. Both intelligence and anthropomorphism positively influence goal specificity, whereas they negatively affect goal difficulty. In addition, goal specificity increases users' MFA continuance usage intention, whereas goal difficulty decreases users' continuance usage intention. The findings of this study provide theoretical contributions for AI technology adoption research and offer practical strategies for firms to retain MFA users.

Based on goal-setting theory, this study reveals that as two primary AI features of contemporary mobile fitness apps, intelligence and anthropomorphism, can increase comprehension of users' perceptions regarding goal difficulty and specificity in the context of users' continuance usage intentions toward AI-powered MFAs.

To improve the frequency of adoption of mobile health services (MHSs) by users (consumers), it is critical to understand users' MHS adoption behaviors. However, the literature primarily focuses on MHS adoption-related factors and lacks consideration of the joint impacts of reasons for (RF) and reasons against (RA) on users' attitudes and adoption behaviors regarding MHSs. To fill this gap, this study integrates behavioral reasoning theory (BRT) and protective motivation theory (PMT) to develop a research model by uncovering the reasoning process of personal values, RF and RA, adoption attitudes and behavior toward MHSs. In particular, health consciousness (HC) is selected as the value. Comparative advantage, compatibility and perceived threat severity are considered the RF subconstructs; value barriers, risk barriers and tradition and norm barriers are deemed the RA subconstructs.

A total of 281 responses were collected to examine the model with the partial least squares structural equation modeling (PLS-SEM) method.

The results show that HC positively affects attitude through RA and RF. Additionally, RF partially mediates the relationship between HC and adoption behavior. This study contributes to a deeper understanding of user adoption behavior in MHS and provides practical guidance for the health services industry.

This study contributes to the existing MHS literature by understanding the joint influences of personal values, RF and RA on user attitude, which eventually determines users' adoption decisions regarding MHSs.

The purpose of this study is to thoroughly review studies that have used blockchain technology in financial services. This study will help provide a holistic framework that would highlight the current state and challenges of the blockchain in the financial services sector.

The objective of this study is to systematically examine and organize the current body of research literature that either quantitatively or qualitatively explored the use of blockchain technology in financial services. The study uses PRISMA-guided systematic review along with bibliometric analysis to achieve the purpose.

This study contributes to the existing literature by exploring and analyzing systematic studies available on blockchain with special reference to financial services sector. With blockchain based on five principles, namely, computational logic, peer-to-peer transmission, irreversibility of records, distributed database and transparency with pseudonym has immense potential to unleash and transform the financial service industry. With increasing blockchain-based operations of decentralized banking, insurance, trade finance, financial markets and cryptocurrency market, the subject is rapidly growing and seeking considerable contribution from scholars from around the world.

This study uses systematic literature review approach, which has its own demerits. Like other studies based on Systematic Literature Review, this study also suffers from a certain bias such as sample selection bias, publication bias, data interpretation and the combination of quantitative and qualitative studies in the population. Further, the adoption and resultant benefits of blockchain have not been empirically tested.

This study can help policymakers and institutions in determining their future course of action, as it highlights the state of research in the area of blockchain technology and financial services.

Very few studies have done a comprehensive review of literature on blockchain in financial services.

The purpose of this study is to clarify theory and identify factors that could explain the level of fintech continuance intentions with an expectation confirmation model that integrates self-efficacy theory.

With data collected from 753 fintech users, this study applies partial least square structural equation modeling to compare and select the research model with the most predictive power.

The results show that financial self-efficacy, technological self-efficacy and confirmation positively affect perceived usefulness. Among these factors, financial self-efficacy and technological self-efficacy have both direct and indirect effects through confirmation on perceived usefulness. Perceived usefulness and confirmation are positively related to satisfaction. Finally, perceived usefulness and satisfaction positively influence fintech continuance intentions.

To the best of our knowledge, this is one of the earliest studies that investigates the effect of domain-specific self-efficacy on fintech continuance intentions, which enriches the existing research on fintech and deepens our understanding of users' fintech continuance intentions. We distinguish between financial self-efficacy and technological self-efficacy and specify the relationship between self-efficacy and continuance intentions. Moreover, this study highlights the importance of assessing a model's predictive power using the PLSpredict technique and provides a reference for model selection.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.