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Discusses the rationale of applying relationship marketing and service quality concepts within the primary health care sector. The use of relational strategies in general practice, by modelling the relationships between practitioners and patients from a marketing perspective, could potentially lead to sustained high quality service being provided, and to more efficient use of resources. This essentially conceptually focused paper addresses an area that has not yet been researched in detail, and furthers understanding of the relationships that facilitate exchange within general practice and service delivery in non‐profit, resource‐constrained conditions. Deeper understanding of the needs and expectations of patients and the way these can be delivered by general practice can only lead to improvements for all parties involved. The relationship marketing paradigm presents itself as a potentially exciting way of addressing issues associated with ensuring that the highest level of quality is delivered in this area of the UK National Health Service.

Purpose – This study aims to investigate how behavioural biases affect cryptocurrency investment choices. The study also evaluates how risk tolerance mediates the relationship between behavioural biases and investment decision-making.

Need for the Study – The study is required to refine research methods and to ensure the reliability and validity of findings on behavioural biases in cryptocurrency investment decision-making.

Methodology – This pilot study involved responses from individuals in India’s western and northern regions who either invested in cryptocurrencies or had adequate knowledge of such investments. To assess the normality, validity, and reliability of the questionnaire data, a sample of 51 individuals was analysed using SPSS software.

Findings – The results of this study validate the reliability of the questionnaire in conducting pilot research by attaining high reliability with high coefficients of measures and reasonable normality.

Originality/value – The study confirmed the tool’s efficiency to analyse various specific antecedents influencing investing choices.

The purpose of this study is to examine how formal and informal institutions play a role in the Iranian context in shaping corporate social responsibility (CSR) policies and practices.

Using a multiple case-study approach combining comparative and cross-sectional methods with semi-structured interviews, primary data was collected from eight corporations that actively participated in CSR activities in Iran. A microanalysis approach was used to examine the meanings and dynamics in the data. Through thematic analysis and pattern-matching techniques, the authors separately examined the roles of formal and informal institutions. Cross-case analysis was used to highlight the cases’ similarities and differences.

This study demonstrates that both formal and informal institutional structures exist in Iran and that both types influence CSR. This study also shows that informal institutions (such as personal values, culture, religion, traditions, charity and philanthropy) play a more explicit role than formal institutions (such as legal regulations and laws) in shaping CSR adoption policies and practices. The results indicate that, among institutions linked to CSR, formal and informal institutions are complementary and potentiate each other in Iran. Nevertheless, compared to formal ones, informal institutions play a more prominent role in shaping CSR policies and practices.

The authors recognize that, although the eight corporations are large, and although they interviewed their key personnel, they do not claim that these findings are generalizable, owing to the qualitative nature of the study and the small number of selected corporations.

This study makes relevant theoretical and empirical contributions. First, it contributes to the growing body of CSR literature that highlights the necessity of linking informal and formal institutions. Although the CSR literature lacks research on informal institutions in developing economies, researchers have yet to push forward and explore how the CSR adoption process works in developing economies that have influential informal institutions.

Purpose: There has been a growing debate on whether generative AI can serve as the modern-day equivalent of white-collar knowledge workers. In a recent post, technology magnate Bill Gates boldly proclaimed that ChatGPT would soon become the quintessential white-collar worker of tomorrow (Dean, 2023). This is indeed an exciting prospect, as generative AI advances at breakneck speed.

Need for the Study: This research delves upon the implications of such advancements for industries reliant on skilled employees. It raises questions about how these individuals will adjust their skillset going forward, given the proliferation of generative AI solutions poised to disrupt traditional roles previously occupied by humans.

Methodology: The study uses an exploratory framework to understand AI’s implications on job roles, productivity, and skill requirements. It introduces generative AI and its relevance, focusing on how it could transform white-collar jobs.

Findings: One thing seems clear: its impact on future employment opportunities. However, this technology still has limitations, potentially leading to unintended consequences. While capable of performing certain functions precisely and accurately, it cannot fully replace the reasoning abilities or cognitive flexibility innate in human workers tasked with knowledge-based work.

Practical Implications: The potential implications for workforce development, policy-making, and future research in AI and labor economics are highlighted. This will also help gain insights into the integration process, benefits, challenges, and the changing nature of white-collar work due to generative AI.

Introduction: Regulatory technology (Regtech) uses technology and innovative techniques to improve and expedite regulatory compliance procedures across various sectors, notably the financial industry. This chapter closely examines how Regtech is being used in the financial sector.

Purpose: This study examines the adoption and implementation of Regtech solutions in the financial sector. It aims to identify the leading technologies propelling the adoption of Regtech and the benefits and challenges financial institutions face when implementing Regtech solutions for regulatory compliance.

Need of the Study: The study examines the increasing demand for effective regulatory compliance in the financial sector. Financial institutions seek novel ways to streamline compliance procedures as regulatory complexities increase. This study fulfills the need to examine the adoption of Regtech as a potential solution to enhance regulatory compliance’s efficiency and effectiveness.

Research Methodology: This chapter’s research methodology entails a comprehensive review of existing studies, and examples to collect pertinent data and insights. The current study provides an extensive and comprehensive view of the existing studies. Examining real-world examples provides practical examples and demonstrates the efficacy of Regtech in the financial sector.

Findings: The findings reveal that the adoption of Regtech is gaining momentum in the financial industry, with increasing recognition of its potential benefits. Financial institutions leverage Regtech solutions to automate compliance processes, monitor regulatory changes, and enhance risk management practices. However, technological complexities, regulatory constraints, and data security concerns pose significant hurdles to widespread adoption.

Purpose: This chapter uses the annual time series data to investigate how currency depreciation impacts inflation in Sri Lanka.

Design/methodology/approach: We utilized the autoregressive distributed lag (ARDL) test to evaluate the long-term correlation between the variables. Additionally, the Granger causality test was used to examine the short-term relationships.

Findings: The ARDL test findings indicate an elevated relationship between currency depreciation and long-term inflation in Sri Lanka. The coefficient value of the error correction term indicates that 1.19% of the discrepancy error is rectified each year, directing the inflation response variable toward the long-term equilibrium.

Policy Implication: The Central Bank of Sri Lanka (CBSL) should adopt a policy to tighten and lessen currency pressure and fend off inflationary pressure. To design appropriate policies, they must quantify the country’s exchange rate (ER) pass-through to inflation. The pass-through to inflation is most prominent when monetary policy action triggers or amplifies currency movements. However, this pass-through to inflation can be kept smaller provided central banks follow a credible inflation-targeting framework, operate in a flexible ER period, and are accessible from influences from fiscal authorities in the country.

Originality/value: This study uses the recently established ARDL limits cointegration approaches to investigate the enduring association between currency devaluation and price stability in Sri Lanka.

Introduction: The insurance industry is undergoing constant transformation to keep up with the demands of digitally savvy consumers. “Insur-Tech” refers to using technological breakthroughs in the insurance sector to boost competition, innovate new products, increase customer happiness, and improve operational operations. Insurance technology has many potential applications across the complete product lifecycle, from initial research and development to post-contract administration, back-office processes and risk management.

Purpose: This chapter discusses the insurance industry’s current and potential future state with the emergence of insur-tech. The objective is to explore the emergence of new-age technologies in the insurance industry and the challenges faced in their implementation.

Methodology: Researchers conducted an extensive literature review and analyzed recent news articles to explore the digital transformation of the insurance industry through InsurTech. The literature review encompassed academic journals, industry reports, and relevant books to provide a theoretical framework and historical context. Concurrently, researchers examined news articles from reputable sources to capture current developments, real-world applications, and emerging trends. This dual approach allowed researchers to assess the role of digital innovations on the insurance.

Findings: The findings reveal how large and continuing databases impact the operational processes and general insurance markets, facilitating the acquisition of optimal policyholder behavior and speeding up claims processing. This chapter delves into how AI improves traditional insurance processes, spanning from the first point of contact to claims processing and how potential changes brought about by blockchain technology.