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Purpose: The main purpose of this study is to test the effect of consumers’ readiness level to use new technology on their intention to use mobile payment applications based on the technology readiness and acceptance model (TRAM). In detail, it examines how the dimensions of TR as ‘optimism, innovativeness, discomfort, and insecurity’ affect consumers’ intention to utilise mobile payment applications. Moreover, the effect of the technology-accepting behaviour measured by two major factors as ‘perceived usefulness’ and ‘perceived ease of use’ on the intention to use mobile payment applications is also examined.

Need for the study: The existence of a mobile system alone is not enough to attract consumers with no user experience to these applications. The user-centred attribute in the usage of these applications, which involves the influence of technology readiness (TR), has been largely ignored especially in developing countries. By focussing on this area, it is expected to fill the gap that has not been sufficiently handled in the developing country settings and, particularly in Turkey.

Methodology: The study population consists of the consumers who live in İstanbul who is aged 18 and over and use mobile payment technology at least once. After collecting data, confirmatory factor analysis was applied to validate the measurement model. Afterward, the structural model was tested by the Maximum Likelihood-MI estimation method, and the bootstrap samples were stated as 5,000.

Findings: When the results of the study are examined, it is seen that optimism has a significant influence on the perceived usefulness and perceived ease of use dimensions of the technology acceptance model, while innovativeness is significant only on the perceived ease of use. This study results also show that discomfort and insecurity don’t significantly influence the perception of usefulness and easy-to-use mobile payment applications as perceived by individuals. Perceived ease of use is to positively affect the perceived usefulness. Additionally, the perceived ease of use and the perceived usefulness are strong predictors of intention to use mobile payment applications.

Practical implications: Findings of this study demonstrate the validity of the technology readiness and acceptance model for explaining the intention of using mobile payment applications in Turkey. To improve consumers’ intent in the usage of m-payment apps, their level of technological readiness towards technology should be determined and the factors that affect the formation of insecurity and discomfort attitudes of individuals should be emphasised.

This study aims to determine the impact of health-related views on mobile payment adoption in Sri Lanka from a broader viewpoint. The scale used to quantify each construct was based on earlier research, with modest alterations to fit the pandemic situation. First, an online survey was administered to undergraduates using convenience sampling to acquire appropriate replies. Eliminating incomplete and unusable questionnaires, 266 responses were gathered with an 88.7% response rate. Finally, after removing incomplete and ineffective questionnaires, 243 responses were selected for the analysis. Health consciousness, perceived ease of use, and usefulness have a significant positive relationship between attitude and behavioural intention to mobile payments. Moreover, the attitude has a significant positive relationship with mobile payment usage. As the health consciousness increases the usefulness and intention to use mobile payments, bank managers can focus on this new customer segment. Accordingly, they can use their promotional campaigns to highlight the importance of shifting towards m-payments during the pandemic times. This is the first study that investigates the role of health-related perceptions on the mobile payment adoption in Sri Lanka to the best of the authors’ knowledge.

The rapid growth of digitalization is being used for the betterment of the banking and financial services sector and many other industries. Digital banking (DB) is transforming traditional banking activities into a digital environment. The benefits and conveniences that DB bring to consumers and financial institutions (FIs) have led FIs to adopt various DB innovations. However, to determine whether the demand for DB is at a healthy level, it is necessary to evaluate how DB innovations are accepted among consumers. This chapter is a “viewpoint” of the author that reviews the background of DB in Sri Lanka (SL) and evaluates the success of its diffusion.

The status of the DB diffusion in SL is discussed under DB ecosystem, and DB customer adoption. The DB ecosystem is discussed through the topics of the country’s digital infrastructure (DI), technological know-how within the banks, technology adoption of the market vendors, and consumer’s digital literacy. Then, the consumer use of the DB services is evaluated using the transactions that happened through DB systems against paper-based payments. Statistics presented by Central Bank of Sri Lanka (CBSL) are used as secondary data for the study.

According to the findings of this report, consumer DB adaption is still in its infancy compared to the development of the country’s DB ecosystem. Considering the causes that drives consumer innovation decisions, this chapter highlights the need for industry practitioners to revisit their DB marketing strategies based on consumers’ culture and innovativeness. To that end, further studies are necessary on how individuals’ culture influences DB adoption.

The purpose of this chapter is to examine the integration of technology-based solutions in the Indian banking industry, driven by the need for contactless services and addressing operational issues and customer complaints post-Covid-19. The study utilizes archival and observational research, drawing data from the internet to understand the changes in the acceptance and use of digital payments in India. The findings suggest that digital payments are poised for growth due to the increasing acceptance and popularity of personal device-based banking services. However, the limitations of the study restrict its applicability to the Indian context. The practical implications highlight the importance of technology in improving banking operations and efficiency, while the social implications emphasize the shift in people's mindset toward accepting and utilizing technology for everyday banking activities. This chapter also discusses government initiatives aimed at resolving issues and customer complaints arising from the increased use of technology in the banking industry. This chapter contributes to the understanding of the evolving digital payment scenario, technology-based banking services, and the payment infrastructure in India.

Purpose: The advent of the fintech revolution has brought a tremendous increase in the dissemination of digital financial services. Although digital financial services increase financial inclusion through financial intermediation, it also increases the chances of systematic risk.

Need: In the quest to satisfy the curious minds, the authors have examined the influence of digital financial services on banking stability and efficiency.

Methodology: To achieve the above objectives, the authors have used the Auto-Regressive Distribution Lag (ARDL) estimation technique on the annual data set of India and the United States from 2004 to 2018. In addition, to estimate the long-run cointegration, the ARDL bound approach is also used.

Findings: The empirical analysis concludes that in the short run, the expansion of digital financial services in India in the form of internet-based transactions and mobile money transactions creates a negative and significant impact on banking efficiency and stability. Meaning, banking sector efficiency and stability fall by 0.09% and 0.05% with a 1% increase in digital financial services. However, in the long run, digital financial services enhance banking stability and efficiency in India. Besides, the study also reveals that in a developed country like the United States, both in the short run and long run, expansion of digital financial services helps in improving banking efficiency and stability. Furthermore, in context to control variables, the findings suggest that in the short run, industrial productivity has a negative influence on the Indian banking sector efficiency and stability, compared to the positive impact in the long run. This is unlike the United States, where both in the long-run and short-run, industrial productivity has a positive influence on the banking sector’s efficiency and stability.

Practical implication: The findings reveal several policy implications and suggest policy synergies between digital financial services, banking stability and efficiency.

Upon reading this chapter, the reader will understand

• How consumers perceive a privacy loss when exposed to retailers' big data analytics

• The role played by the social environment in terms of the opinions of relatives and friends largely influence how youth perceive the risk of privacy loss

• What makes the information about retailers' usage of data not entirely accessible by consumers

• Consumers perception of retailers' usage of their data

How consumers perceive a privacy loss when exposed to retailers' big data analytics

The role played by the social environment in terms of the opinions of relatives and friends largely influence how youth perceive the risk of privacy loss

What makes the information about retailers' usage of data not entirely accessible by consumers

Consumers perception of retailers' usage of their data

Despite several similarities, Generation Z in Indonesia has specific characteristics that might differentiate them from their colleagues from other countries. Socio-cultural factors such as national values shape their behaviours in many aspects of their life. Specific significant life events in Indonesia such as inhumanity among minorities and damaging natural disasters are also believed to contribute to the development of the specific characteristics of Generation Z in this country. The aim of this chapter is to describe these characteristics as well as the behaviours of Generation Z in personal and professional contexts, including their consumer behaviours. Based on literature and publications related to the topic, it can be seen that people from this generation are realistic but confident with their abilities, especially in using technologies. However, there is a need for social interaction, especially with experts such as their superordinates particularly during difficult times. These characteristics will lead to specific behaviours from Generation Z in Indonesia.

Introduction: In recent years, fresh big data ideas and concepts have emerged to address the massive increase in data volumes in several commercial areas. Meanwhile, the phenomenal development of internet use and social media has not only added to the enormous volumes of data available but has also posed new hurdles to traditional data processing methods. For example, the insurance industry is known for being data-driven, as it generates massive volumes of accumulated material, both structured and unstructured, that typical data processing techniques can’t handle.

Purpose: In this study, the authors compare the benefits of big data technologies to the needs for insurance data processing and decision-making. There is also a case study evaluation concentrating on the primary use cases of big data in the insurance business.

Methodology: This chapter examines the essential big data technologies and tools from the insurance industry’s perspective. The study also included an analytical analysis that supported several gains made by insurance companies, such as more efficient processing of large, heterogeneous data sets or better decision-making support. In addition, the study examines in depth the top seven use cases of big data in insurance and justifying their use and adding value. Finally, it also reviewed contemporary big data technologies and tools, concentrating on their key concepts and recommended applications in the insurance business through examples.

Findings: The study has demonstrated the value of implementing big data technologies and tools, which enable the development of powerful new business models, allowing insurance to advance from ‘understand and protect’ to ‘predict and prevent’.

Besides having an important place in the daily lives of today’s consumers, technology impacts consumer behavior in variety of ways such as giving direction to their buying behavior, changing the characteristics that they expect from a product and the value they perceive, and influencing their satisfaction about the product. When omnichannel marketing is analyzed in this respect, it is an important issue that should be considered for the success of the marketing activities of the enterprises. This chapter will explain the single channel first and then multichannel marketing and omnichannel marketing concepts. The potential effects of omnichannel usage on issues about consumer behavior such as brand loyalty, customer satisfaction, perceived brand value, and buying behavior will be explained in detail. Then, the characteristics of the consumers using omnichannel and the factors affecting the success of these continents in terms of both consumers and businesses will be discussed. In this chapter, omnichannel marketing application examples will also be discussed in detail.

Shared, dockless micromobility is causing concern across the globe. The phenomenon started with shared bikes and e-bikes. More recently, e-scooters (or electric kickbikes), the focus of this chapter, have flooded cities in unprecedented speed and volume – and have caught virtually every city and competent authority off guard. The failure of current regulatory frameworks to address new challenges posed by e-scooters is explored. This chapter first briefly describes major developments of the shared e-scooter market. It then presents rationales for, and to some extent against, e-scooter regulation as well as policy tools available for e-scooter regulation. E-scooters open the door for new and innovative – and potentially efficient – ways to regulate, including geofencing, zoning, mandatory data sharing and mandatory cooperation. Against this backdrop, the chapter discusses regulatory dilemmas, challenges, opportunities and possibilities.