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Purpose: This chapter aims to unveil the challenges of adopting and using banking chatbots in India and identify the challenges of Chat Generative Pre-trained Transformer (ChatGPT) for future banking.

Need for the study: Unveiling the challenges of chatbots and ChatGPT in the banking industry in India is crucial to understand the limitations and areas of improvement to enhance customer experience, ensure data security, and maintain regulatory compliance.

Methodology: The researchers conducted a narrative review systematically summarising and analysing existing literature on chatbots and ChatGPT, providing a comprehensive overview of the challenges faced in the industry.

Findings: The authors identify perceived risk, platform quality, connectivity and infrastructure, data privacy and security, user education and acceptance, existing legacy systems, and regulatory guidelines as the challenges of adopting chatbots. Additionally, the findings reveal that the challenges posed by ChatGPT in future banking include the potential reduction of traditional banking jobs, linguistic diversity, data privacy and security, ethical considerations and bias mitigation, explainability and accountability, integration with existing banking systems, and user trust and acceptance. However, implementing these new technologies also presents opportunities for individuals with unique human skills, such as critical thinking, empathy, and creativity, which are difficult to replace with technology.

Practical implications: By minimising the challenges of ChatGPT and chatbots, the banking industry could achieve improved customer service, cost efficiency, automation of routine tasks, and 24/7 availability, leading to enhanced customer satisfaction and operational efficiency in the banking industry. Additionally, these artificial intelligence (AI) tools enable data-driven insights, personalised experiences, scalability, and efficient handling of large customer volumes, contributing to better decision-making and enhanced customer engagement.

The purpose of this paper is to examine the impact of dividend announcements on the stock return of Shariah-compliant and conventional stocks.

An event study methodology is applied to study the beta anomaly. Market-adjusted return model, mean-adjusted return model and market model have been applied to calculate excess returns. Estimation period used in this study is 130 days, and event period consists of 21 days in total, i.e. starting from the day –10 “before the cash dividend announcement” to day +10 “after the cash dividend announcements.

It has been concluded from the results that dividend plays an informational role in the Pakistan Stock Exchange. As the investors in Pakistan react favorably to the dividend increase announcements and unfavorably to the dividend decrease announcements, they consider dividend increase announcement as good news and dividend decrease announcement as bad news.

The findings of this study have several implications for different participants of the stock market, such as investors, academicians, researchers, fund managers and policymakers. They can use this information to make decisions while making efficient portfolios. Investors may get abnormal returns by focusing on the dividend announcement patterns. This can influence the attitude of investors toward efficient investments in the stock market and ultimately contribute to the betterment of society. This study is also beneficial for academicians and researchers, as it provides a comparative analysis of Shariah-compliant and conventional stocks and the anomalous effect of dividend announcements on stock return.

Limited research in the world’s context and null is available in Pakistani context on the subject matter. The comparative analysis of “Shariah-compliant” and “conventional” stocks provides insight into the asset pricing of Shariah-compliant stocks that have not been explored earlier. This study also uses three different methods (mean model, market model and market-adjusted return models) to compare Shariah-compliant and conventional stocks

Very little is known about the effect of dividend announcements on stock prices in Nigeria, despite the country’s unique institutional environment. The purpose of this paper is, therefore, to provide empirical evidence on this issue by investigating the stock price reaction to cash dividends by companies listed on the Nigerian Stock Exchange.

Standard event study methodology, using the market model, is employed to determine the abnormal returns surrounding the cash dividend announcement date. Abnormal returns are also calculated employing the market-adjusted return model as a robustness check and to test the sensitivity of the results to β estimation. The authors also examine the interaction between cash dividends and earnings by estimating a regression model where announcement abnormal returns are a function of both dividend changes and earnings changes relative to stock price.

The study find support for the signaling hypothesis: dividend increases are associated with positive stock price reaction, while dividend decreases are associated with negative stock price reaction. Companies that do not change their dividends experience insignificant positive abnormal returns. The results also suggest that both dividends and earnings are informative, but dividends contain information beyond that contained in earnings.

The sample for the study includes only cash dividend announcements occurring without other corporate events (such as interim dividends, stock splits, stock dividends, and mergers and acquisitions) during the event study period. The small firm-year observations may limit the validity of generalizations from these conclusions.

The findings are useful to researchers, practitioners and investors interested in companies listed on the Nigerian stock market for their proper strategic decision making. In particular, the results can be used to encourage transparency and good governance practices in the Nigerian stock market.

This paper adds to the very limited research on the stock market reaction to cash dividend announcements in Nigeria; it is the first of its kind employing a unique cash dividends data.

Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies.

Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data.

The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library.

Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students.

Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal.

Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility.

The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

The purpose of this study is to establish whether dynamic capabilities mediates the association between social capital and sustainable growth of full-service restaurants in Kampala, Uganda.

This study is cross-sectional and correlational in nature. A self-administered questionnaire was used to gather data from 154 full-service restaurants in Kampala. Statistical Package for the Social Sciences (SPSS.25) and Medgraph – Excel Version were used to conduct correlation, hierarchical regression and mediation analysis on the data in order to establish the mediating role of dynamic capabilities.

Study findings revealed that first, social capital and dynamic capabilities significantly predict sustainable growth of full-service restaurants, second, social capital is significantly associated with dynamic capabilities and third, dynamic capabilities significantly mediate social capital and sustainable growth of full-service restaurants.

The study confirmed that dynamic capabilities significantly mediate social capital and sustainable growth of full-service restaurants unlike the previous studies that focused on the direct association between the study variables in explicating sustainable growth.

The purpose of this study is to investigate the influence of social media, perception, readiness and usage on sustainable growth of micro and small enterprises (MSEs) in Uganda.

This study is cross-sectional and adopted a mixed method approach. Data was gathered through a questionnaire survey of 212 business owner–managers that are members of the Uganda Small Scale Industries Association (USSIA) and engaging 8 business managers in the in-depth interviews to support and strengthen the quantitative results. Data analysis was done using statistical package for social sciences (SPSS.24) and Atlas ti.8.

The study reveals that social media perception, readiness and usage positively influence sustainable growth of MSEs in Uganda. However, the insufficient soft and technical skills, lack of devices such as computers and smartphones and the high cost of Internet data undermine the usage of social media by business owner–managers for sustainable growth of their businesses.

The findings demonstrate what policymakers, social media operators and business owner–managers need to do to enhance integration of social media platforms and channels into the operations of MSEs in Uganda.

This study adds to existing literature on social media technology in MSEs with evidence from Uganda. The study results are likely to foster usage of social media as policymakers and social media providers will come up with appropriate strategies to unlock the social media potential of the business owner–managers for sustainable business growth in Uganda.