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Purpose – This paper focuses on a unique historical case study of industry evolution in order to develop a road map where historical and strategic research could develop a common ground for trans-disciplinary inquiry.

Design/methodology/approach – The industry I explore is the Universal Credit Card Industry since its inception with the Diners Club in 1949 until its maturity in late 1990s. My empirical objective here is to develop a historically detailed and theoretically rich case study in which evolutionary processes are discovered as a result of the historical narrative.

Findings – The historical account of the industry demonstrates how the evolution of alternative business models as organizing forms has led to the establishment of interorganizational platforms with unique ecosystems. These alternative business models, through various experimentations, have ultimately produced two critical interorganizational organizations, one based on an open-loop system represented by Visa and MasterCard, and the other based on a closed-loop system represented by Diners Club and the American Express. The historical account also shows that in a given industry competition is not only among specific firms in the industry but also among the business models and the platforms created by these models.

Originality/value – I conclude that historical analyses reveal the nature of competition not only among firms but also among alternative business models where traditional strategy research rarely covers.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

In this chapter customer opinion and perception towards e-payment system is disclosed with the help of descriptive analysis of the responses collected from the respondents using questionnaire.

This study investigates the relationship between financial inclusion (FI) and banks’ performance in the economy of Jordan using annual data of 13 commercial banks from 2009 to 2014. Performance is measured by gross income and return on assets (ROA) of these banks. To ensure the robustness of our results, we used six different measures of FI. These include credits for small and medium enterprises (SMEs), deposits for SMEs, number of ATMs, number of ATM services, number of credit cards, and new services. We found a significant impact of FI on ‘ performance when measured by gross income, and ROA, although our study displays different results when considering the effect of FI variables separately. Thus, FI contributes to enhance the banks’ performance. Therefore, the banks should devote more resources to increase FI as it benefits their profitability.

Purpose: This chapter analyzes several indicators of financial inclusion in Nigeria.

Method: This chapter uses trend analyses to examine the indicators of financial inclusion in Nigeria.

Findings: The findings reveal that people with a secondary education and unemployed people had higher levels of debit card ownership, higher levels of account ownership of any type, and higher levels of account ownership in a financial institution. Borrowings from family or friends decreased during the period. The level of savings and borrowings was higher for adults with at least a secondary education while the level of savings, using a savings club or persons outside the family, decreased among females, poor people and among people with a primary education. Credit card ownership was low among unemployed people, while credit card ownership was much higher among employed people, the richest people and among people with at least a secondary education. Finally, borrowings and savings using family, friends, or saving clubs significantly contributed to economic growth than borrowings and savings through financial institutions.

Implications: It shows that Nigerian authorities should increase the number of formal account ownership by removing obstacles such as income and education bias and gender discrimination in the delivery and use of financial services.

Originality: Recent studies in the literature have investigated financial inclusion in developing economies, but little attention has been paid on the determinants and challenges of financial inclusion in Nigeria. This chapter aims to fill this gap by providing a comprehensive understanding and analysis of financial inclusion in Nigeria.

For central banks who study the use of cash, acceptance of card payments is an important factor. Surveys to measure levels of card acceptance and the costs of payments can be complicated and expensive. In this paper, we exploit a novel data set from Hungary to see the effect of stratified random sampling on estimates of payment card acceptance and usage. Using the Online Cashier Registry, a database linking the universe of merchant cash registers in Hungary, we create merchant and transaction level data sets. We compare county (geographic), industry and store size stratifications to simulate the usual stratification criteria for merchant surveys and see the effect on estimates of card acceptance for different sample sizes. Further, we estimate logistic regression models of card acceptance/usage to see how stratification biases estimates of key determinants of card acceptance/usage.

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.

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.