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Introduction: Why companies pay dividends and the determinants of dividend policy are considered an unresolved dividend puzzle. To reach a consensus over the puzzle, researchers must investigate the factors affecting dividend policy by incorporating all the determinants into a single research effort.

Purpose: We examine the dividend policy determinants of Sri Lankan firms, explicitly focusing on the banking, finance, and insurance (BFI) sectors.

Methodology: This study uses the quantitative approach applying the Generalized Method of Moments (GMM) system to examine the dividend policy determinants by obtaining secondary data from 51 listed BFI organisations in Sri Lanka.

Findings: The analysis disclosed that the variables of changes in revenues, firm size, liquidity, corporate tax, business risk, and profitability have a positive relationship with dividend yield, whereas investment opportunities, leverage, change in revenues, corporate tax, and firm size impact positively on the propensity to pay dividends in BFI organisations in Sri Lanka. Our findings opine that managers in the BFI industries should prioritise changing their dividend policies by paying close attention to factors, such as dividend yield, changes in revenue, firm size, liquidity, corporate tax ratio, business risk, and profitability because the dividend policy is critical to retaining current investors and luring new ones.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

Introduction: In the context of Sri Lanka, this study compares how institutions and financial development (FD) affect economic growth (EG) and inclusive growth (IG).

Purpose: The well-structured administration and judicial system at the provincial level have been established against the socioeconomic vulnerabilities in the country for an extended period. Still, the country as a whole and provincial level is experiencing huge income and social inequality, though there are required provisions for enhancing the well-being of the people.

Methodology: The study consists of data from the nine provinces from 2013 to 2019. The analysis used the Dynamic Spatial Durbin Model (D-SDM) to explore the spatial dependencies between the provinces. Two models were developed: the interaction of the financial service activities (FSA) and insurance, reinsurance, and pension (INPEN), representing the FD with the EG and IG with and without. The IG index was estimated by principal component analysis (PCA) using indicators of the four dimensions. The results indicated spatial dependency among FD’s interaction with EG when provincial tax (PROTAX) and provincial expenses (PROEXP) are the provincial institutions.

Findings: The IG model results showed the IG’s spatial dependency moderated by the FD and only the IG model between the provinces. PROEXP showed a significant positive spillover impact among provinces towards the IG.

Practical Implications: The finding inform economic policy making while identifying weaknesses in existing local governments. Attention must be given to how poverty can be reduced, enhancing the well-being of the people with the proper channelling of finance and government institutional mechanisms.

Purpose: This study investigates internal/own shock in the domestic market and three external volatility spillovers from India, the UK, and the USA to the Sri Lanka stock market.

Need for the Study: The external market’s internal/own shocks and volatility spillovers influence portfolio choices in domestic stock market returns. Hence, it is required to investigate the internal shock in the domestic market and the external volatility spillovers from other countries.

Methodology: This study employs a quantitative method using ARMA(1,1)-GARCH(1,1) model. All Share Price Index (ASPI) is the proxy for the Colombo Stock Exchange (CSE) stock return. It uses daily time-series data from 1^st April 2010 to 21^st June 2023.

Findings: The findings revealed that internal/own and external shocks substantially impact the stock price volatility in CSE. Significant volatility clusters and persistence with extended memory in ASPI confirm internal/own shock in the market. Furthermore, CSE receives significant volatility shock from the USA, confirming external shock. This study’s findings highlight the importance of considering internal and external shocks in portfolio decision-making.

Practical Implications: Understanding the influence of internal shocks helps investors manage their portfolios and adapt to market volatility. Recognising significant volatility spillovers from external markets, especially the USA, informs diversification strategies. From a policy standpoint, the study emphasises the need for robust regulations and risk management measures to address shocks in domestic and global markets. This study adds value to the literature by assessing the sources of volatility shocks in the CSE, employing the ARMA-GARCH, a sophisticated econometrics model, to capture stock returns volatility, enhancing understanding of the CSE’s volatility dynamics.

Transnational migration has produced a state of flux in the naturalized conception of home as a fixed, bounded, discreet and trouble-free place of origin, (re)casting home as a more complex, or perhaps simpler, project entangled within the workings of the global capitalist economy. In this context, here the author qualitatively explores migrants’ engagement with the notion of home in the sense of how they conceptualize and experience home, based on the lived experiences of Sri Lankan women who have migrated to Kuwait as live-in migrant domestic workers (MDWs) independently of their families. The stories of the MDWs simultaneously made the meaning of home as conventionally defined, more straightforward and more complicated: home was taken on a journey with them to a faraway foreign land. The MDWs negotiated and constructed belonging and not belonging dialectically in multiple homes, thus being simultaneously “here,” “there” and “nowhere.” In migration, home thus manifests the evolution of female power and duty, portraying it at once as a locus of women’s liberation and as new and perhaps more extreme forms of (re)subjectivation in the emplacement of home within global capitalism. Migration performs home as a space in the (un)making: an ongoing project through the course of life.

Introduction: In the modern period, environmental degradation has had negative effects on people’s health as well as the regular business environment. As a result, embracing a ‘Go Green’ philosophy has gained widespread acceptance among individuals and corporations worldwide. Going green is referred to as promoting eco-friendly ways and banks are essential in protecting the environment to improve our quality of life.

Purpose: This study will focus on the correlation between green banking practices (GBP), employee green behaviour (EGB), and banks’ sustainability performance and how this relationship will give a competitive edge in terms of sustainability to the banks adopting these GBP.

Methodology: EGB between GBP and bank sustainability occurrence is clarified by this study. The current study is descriptive and finds the relationship through previous literature reviews.

Findings: Employees are expected to be crucial in this transformation as the modern banking system adopts green banking initiatives and updates traditional banking processes. Employees help banks perform more sustainably by encouraging environmentally friendly banking practices.

Practical Implications: By understanding the mechanism, between GBP and bank sustainability, banks can adopt more effective strategies to enhance their sustainability performance while promoting environmentally friendly practices.

Purpose: This chapter examines the effect of COVID-19 on the stock market volatility (SMV) in the Colombo Stock Exchange (CSE), Sri Lanka.

Need for the Study: The study is necessary to understand investor behaviour, market efficiency, and risk management strategies during a global crisis.

Methodology: Utilising daily All Share Price Index (ASPI) data from 2 January 2018 to 31 August 2021, the data are divided into subsamples corresponding to the pre-pandemic period, the pandemic period, and distinct waves of the pandemic. The impact of the pandemic is investigated using the Mann–Whitney U test, the Kruskal–Wallis test, and the Exponential Generalised Autoregressive Conditional Heteroscedasticity (EGARCH) model.

Findings: The pandemic considerably affected CSE – the Mann–Whitney U test produced different market returns during the pre-COVID and COVID eras. The Kruskal–Wallis test improved performance during COVID-19 but did not continue to do so across COVID-19 waves. The EGARCH model detected increased volatility and risk during the first wave, but the second and third waves outperformed the first. COVID-19 had a minimal overall effect on CSE market results. GARCH and Autoregressive Conditional Heteroskedasticity (ARCH) models identified long-term variance memory and volatility clustering. The News Impact Curve (NIC) showed that negative news had a more significant impact on market return volatility than positive news, even if the asymmetric term was not statistically significant.

Practical Implications: This study offers significant insight into how Sri Lanka’s SMV is affected by COVID-19. The findings help create efficient mitigation strategies to mitigate the negative consequences of future events.

The aim of this chapter is to investigate the immigrant women entrepreneurship phenomenon by analysing management academic literature on the issue. Stemming from the most current data on immigration and from the awareness that entrepreneurship is a viable instrument of immigrant (women) integration and inclusion, this chapter analyses the most updated management results on the issue. The analysis is mainly centred on works published after 2019, and some interesting insights emerge. Among them, we can refer to the awareness that research on immigrant women entrepreneurship is still in its infancy. Although, indeed, immigrant entrepreneurs and women entrepreneurs have been analysed considerably by researchers, it has been mainly in isolation. Therefore, room for investigating still exists, and this chapter uncovers some possible future research avenues. Moreover, by reviewing the selected papers, it clearly emerges that not all immigrant women entrepreneurs are alike; different targets (that is, different ethnicities) must be addressed differently by policy makers when policy measurements are identified. In other words, generic programmes aimed at increasing entrepreneurship among immigrant women cannot necessarily be successful.