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The purpose of this paper is to identify the determinants of dividend policy in an emerging and developing market.

The study employs a quantitative approach using 191 Sri Lankan firms and 1,337 firm-year observations as the sample. The authors apply a Binary Logistic Regression model to uncover the determinants of the propensity to pay dividends, and a Fixed Effect Panel Regression to investigate the determinants of dividend payout.

The authors identify past dividend decision, earnings, investment opportunities, profitability, free cash flow (FCF), corporate governance, state ownership, firm size and industry influence as the key determinants of propensity to pay dividends. In addition past dividends, investment opportunities, profitability and dividend premium are identified as the determinants of dividend payout. Moreover, there is a feedback between dividend yield and profitability in one lag and between dividend yield and dividend premium in two lags, as short-term relationships. Hence, past dividend decision or payout, profitability and investment opportunities are a common set of determinants with implications for both propensity to pay dividends and its payout. The findings support theories of dividends such as signaling, outcome, catering, life cycle, FCF and pecking order.

The findings are important for investors, managers and future research. Investors should focus on the determinants identified by our study when making investment decisions whereas managers should practice the same when formulating appropriate dividend policies for their firms. Future research should rely on propensity to pay dividends and its payout simultaneously to promote a theoretical consensus on the dividend determinant puzzle.

This is the first study that investigates determinants of propensity to pay dividends and dividend payout along with short-term relationships in a single study.

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.

This study aims to investigate the motives of mobile payment adoption from both customers' and retailers' perspectives in Sri Lanka during the COVID-19 pandemic period. It also aims to compare the motives of mobile payment adoption across rural and urban contexts.

The study employs a mixed-method approach with a concurrent research design. Both a survey of customers and in-depth interviews of managers in retail companies are used.

The study discloses that performance expectancy and facilitating conditions (PEFC), Hedonic motivation (HM) and perceived technology security (PTS) as significant motives for customers to adopt mobile payment during this pandemic period. Such findings are confirmed by the four challenges disclose by the retailers. The unfamiliarity of customers, lack of employees' knowledge on mobile payment systems, poor management orientation and lack of computer literacy of customers are the main challenges from the retailers' perspectives. Further, it shows, though PEFC is a common motive, other motives are different across rural and urban.

The findings of the study are helpful for retailers and policymakers. Retailers can develop strategies to enhance mobile payment adoption through PEFC, HM and PTS by giving special attention to the rural community. The main motive possible to use in both rural and urban contexts is PEFC. Further, retailers should take the initiatives to uplift the technological know-how of their employees while inculcating supportive management orientation. Policymakers can use this study to develop policies to enhance the community's familiarity with mobile payment technology and computer literacy.

To the best of the authors’ knowledge, this is the first study to investigate motives for adopting mobile payments from both customers' and retailers' perspectives while being the first scrutiny to compare rural and urban scenarios. The use of mixed methods with concurrent research design also contributes to originality.

By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions.

This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis.

The study applies the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions.

The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.

This study aims to investigate the impact of the COVID-19 pandemic on businesses, their operations, and the financial conditions in Sri Lanka. A sample of 19 executive-level employees from 19 companies registered at the Colombo Stock Exchange in Sri Lanka was interviewed. The thematic analysis method was used to analyse the data. It demonstrates the insecurity of the current business situation, as with the pandemic, most large-scale operating companies have been permanently or temporarily closed. The financial condition was categorised into main sub-themes such as business profitability, liquidity problems, the balance of payments, working capital, and cash flows and was highly impacted during the COVID-19 outbreak. The findings of the study help to improve the favourable image of Sri Lankan companies by facilitating solutions to overcome the challenges and difficulties and are beneficial for the relevant government parties to amend policies and for investors to make prudent investment decisions. As a maiden study, this one focused on investigating the pandemic’s impact on business operations and developed a nine-step plan for organisations, employees, and the government to minimise the impact of COVID-19 on their businesses.

Owing to the significance of a healthy lifestyle, we investigate the antecedents of the healthy lifestyle of young consumers in Sri Lanka. 658 structured questionnaires were collected from young consumers in Sri Lanka as part of the survey procedure. The judgmental sampling method is used to choose the respondents. The analysis makes use of both descriptive and inferential statistics. The findings disclose a high degree of healthy lifestyle among young consumers in Sri Lanka. Further findings revealed that health consciousness, collective esteem, and neighborhood environment are the antecedents for a healthy lifestyle. As young consumers are more concerned about a healthy lifestyle, managers in certain industries such as food and beverages, hotels, and restaurants should adopt their products and services in line with a healthy lifestyle.

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.

To empirically examine the usefulness and value of supply chain mapping (SC mapping), which has been neglected despite its importance in research and practice.

Based on three combined theoretical perspectives, we conducted a case study on a car manufacturer's managers mapping their downstream supply chain (SC). We conducted semi-structured interviews and a mapping exercise with them, followed by a focus group.

We find differences between individual and corporate SC maps and between how managers define the outbound SC, the SC map they draw and what they say when mapping. The three theoretical perspectives allow us to enrich SC mapping thinking. We focus on boundary objects to formulate propositions. SC mapping and maps are discussed with respect to contemporary SCs and SCM.

Based on a single case study on one firm's outbound SC. Research could be expanded to the company's external partners and follow the development and use of maps in real time.

Highlights the usefulness and difficulties of SC mapping, for individuals and organisations. For the company, it opens avenues for further development and use of SC mapping to improve inter-functional and inter-organisational collaboration.

Confirms the need for SC mapping competences in SCM and consequently the usefulness of teaching SC mapping courses in logistics and SCM programs.

Highlights the usefulness of SC mapping and rekindles interest in SC mapping and maps in SCM. Introduces boundary objects into SCM research.

Supply chains evolve and change in size, shape and configuration, and in how they are coordinated, controlled and managed. Some supply chains are mature and relatively unchanging. Some are subject to significant change. New supply chains may emerge and evolve for a variety of reasons. The purpose of this paper is to examine the nature of supply chain evolution and address the question “What makes a supply chain like it is?”

The paper analyses and develops key aspects, concepts and principal themes concerning the emergence and evolution of supply chains over their lifecycle.

The paper defines the supply chain lifecycle and identifies six factors that interact and may affect a supply chain over its lifecycle – technology and innovation, economics, markets and competition, policy and regulation, procurement and sourcing, supply chain strategies and re-engineering. A number of emergent themes and propositions on factors affecting a supply chain’s characteristics over its lifecycle are presented. The paper argues that a new science is needed to investigate and understand the supply chain lifecycle.

Supply chains are critical for the world economy and essential for modern life. Understanding the supply chain lifecycle and how supply chains evolve provides new perspectives for contemporary supply chain design and management.

The paper presents detailed analysis, critique and reflections from leading researchers on emerging, evolving and mature supply chains.

Energy consumption in existing office buildings has been growing in parallel with the rise in occupant energy demand. As a result, many building owners have given smart retrofits (SRs) a higher priority. However, the utilisation of suitable SRs from a range of SRs has become a challenging task. The purpose of this paper is to develop a decision-making model to select the most suitable SRs for conventional office buildings and form a set of benchmarks for assessing the performance of SRs.

A qualitative approach with six case studies was used. Content analysis was carried out using NVivo to explore the factors considered for the selection of SR techniques. A decision-making model for selecting SRs in Sri Lankan office buildings was proposed. SR performance benchmarks were developed by referring to established standards and studies done in tropical office buildings.

Out of 18 identified SRs from literature, fan cycling, ventilation control and LED luminaires have been recognised as commonly used SRs in Sri Lankan office buildings. Analysis showed that HVAC retrofits saved more energy, while lighting retrofits could be easily implemented in existing buildings. The proposed decision-making model can explore further improvements to enhance the performance of SRs.

The selection of SRs is a comprehensive decision-making process. Metrics were established to benchmark the performance of SRs. The proposed model offers a tool for building owners and facility managers to optimise facility operations.