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This study aims to examine the determinants of retailer social responsibility (RSR) in Old Dhaka City and their impact on RSR practices.

A cross-sectional design was used to collect primary data from 180 retailers through a questionnaire survey. The study used partial least squares structural equation modeling to analyze the data and examine the relationships among the determinants of RSR.

The study found that economic and ethical factors positively and significantly affect RSR practices, while social and environmental factors negatively but not significantly affect RSR practices. Cultural factors were also found to positively and significantly affect RSR practices.

This study provides insights for retailers and policymakers to enhance their RSR practices by considering economic, ethical and cultural factors. The findings also contribute to the existing literature on stakeholder theory by highlighting the importance of considering multiple stakeholders in RSR practices.

This study provides insights into the determinants of RSR in a unique setting in associating stakeholder theory and in Bangladesh, which has received limited attention in the literature on RSR.

How to improve continuance commitment for platform workers is still unclear to platforms' managers and academic scholars. This study develops a configurational framework based on the push-pull theory and proposes that continuance commitment for platform workers does not depend on a single condition but on interactions between push and pull factors.

The data from the sample of 431 full-time and 184 part-time platform workers in China were analyzed using fuzzy-set qualitative comparative analysis (FsQCA).

The results found that combining family motivation with the two kinds of pull factors (worker's reputation and algorithmic transparency) can achieve high continuance commitment for full-time platform workers; combining job alternatives with the two kinds of pull factors (worker's reputation and job autonomy) can promote high continuance commitment for part-time platform workers. Particularly, workers' reputations were found to be a core condition reinforcing continuance commitment for both part-time and full-time platform workers.

The findings suggest that platforms should avoid the “one size fits all” strategy. Emphasizing the importance of family and improving worker's reputation and algorithmic transparency are smart retention strategies for full-time platform workers, whereas for part-time platform workers it is equally important to reinforce continuance commitment by enhancing workers' reputations and doing their best to maintain and enhance their job autonomy.

This study expands the analytical context of commitment research and provides new insights for understanding the complex causality between antecedent conditions and continuance commitment for platform workers.

The purpose of this study is to investigate racial differences in the moderating role of factors linked with resilience on the relationship between economic stress and happiness for Black and White residents of the USA.

Secondary data were downloaded from the World Values Survey Wave 7 for adult respondents living in the USA. The entire sample of respondents who self-identified as belonging to the Black race (n = 209) was statistically matched (based on sex – 50% male and average age – 39 years) with a similarly sized random sample of respondents who self-identified as belonging to the White race (n = 217).

The results suggest that economic stress had the potential to trigger a resilience response. However, the protective factors in the resilience process differed by race of the respondent. The relationship between economic stress and perceptions of neighborhood safety was conditional on level of control for the White sample. The relationship between economic stress and happiness for the Black sample was conditional on the importance of faith.

The study was able to demonstrate the importance of race-based contextual differences in the roles of faith and control in the resilience process. The findings also increase the understanding of how life circumstances and individual characteristics, including race, impact happiness and how much or little resilience may play a part in the achievement of happiness.

This paper analyzes the effect of institutional quality and economic freedom on investment and economic growth in sub-Saharan Africa (SSA).

Focusing on a panel of 27 countries, the study employed the panel fixed and random effect models to analyze data spanning from 2005 to 2018. The study also employed the Wu–Hausman test to determine if the endogeneity problem exists in the model.

The findings of the study show that individually, an improvement in economic freedom stimulates economic growth while the improvement in institutional quality is effective in spurring investment. However, the interaction effect of improvement in institutional quality and economic freedom is the stimulation of both investment and economic growth. The findings are robust to alternative model specifications.

The study implies that for SSA countries to effectively achieve higher investment and economic growth outcomes, there is the need to simultaneously strengthen institutional quality and improve economic freedom. Focusing on either of the factors without the other leads to less desirable growth and investment outcomes.

The study examined the combined influence of institutional quality and economic freedom on investment and growth in SSA. To the best of the authors’ knowledge, no study has investigated this in the context of SSA.

Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.

The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.

According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.

The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.

Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.

The purpose of this paper is twofold. Firstly, the paper aims to determine the separate effects of the COVID-19 pandemic and government actions represented by the index of stringency, containment and economic support on the attractiveness of foreign direct investment (FDI). Secondly, the paper aims to explore the impact of the interactions between the COVID-19 epidemic and government interventions on FDI.

The study uses a panel data set of 30 Asian countries during the two pandemic years 2020 and 2021 to investigate the effect of government actions on the resilience of FDI attractiveness factors.

The empirical results reveal the negative effect of COVID-19 on FDI inflows and attractiveness factors. However, government responses have a positive and statistically significant effect on the FDI attractiveness factors such as economic growth, trade openness and human and technological capital development and contribute to the economic recovery of the Asian region.

The empirical findings can provide useful information for policymakers in designing macroeconomic policies and taking government measures to improve their investment environment and attract FDI.

The study shows that government responses, economic support, containment and health policies are effective in containing viruses, reducing the impact of the COVID-19 pandemic and strengthening resilience in FDI attractiveness factors. It also indicates that foreign investors are responding positively to government measures.

The stock market has shown fluctuating degrees of volatility because of the recent COVID-19 pandemic in India. The present research aims to investigate the effect of the COVID-19 on the stock market volatility, and whether the economic package can control the market volatility or not, measured by a set of certain sector-level economic features and factors such as resilience variables.

We examine the correlation matrix, basic volatility model and robustness tests to determine the sector-level economic features and macroeconomic factors helpful in diminishing the volatility rising because of the COVID-19.

The outcomes of this study are significant as policymakers and financial analysts can apply these economic factors to set policy replies to handle the unexpected fluctuation in the stock market in sequence to circumvent any thinkable future financial crisis.

The originality of the paper is to measure the variables affecting the stock market volatility due to COVID-19, and understand the impact of capital market macroeconomic variables and dummy variables to theoretically explain the COVID-19 impact on stock market volatility.

The present research aims to investigate the impact of “COVID-19 phobia” factors (psychological, social, economic and psychosomatic) on career anxiety and perceived distress. Further, this research assesses whether career anxiety and perceived distress foster or diminish students' employability confidence.

“Partial Least Squares Structural Equation Modeling (PLS-SEM)” has been used to analyze the data.

The results depict that factors (psychological, economic and psychosomatic) are positively and significantly associated with career anxiety and perceived distress. However, social factors indicate an adverse impact on perceived distress. Further, career anxiety and perceived distress positively influence employability confidence, but the associations are not highly impactful.

This research elucidates an unexplored phenomenon in the context of a developing country that coronavirus disease 2019 (COVID-19) phobia scale (i.e. psychological, social, economic and psychosomatic) result in career anxiety and distress. Moreover, no studies highlighted the direct impact of career anxiety and perceived distress on employability confidence.

European rural development programmes are driving multi-actor interactive innovation initiatives and alliances to create an environment in which innovation acts as a tool for accelerating rural development processes. In Europe, where rural areas are facing many challenges, identifying which challenges, difficulties, obstacles or risk factors that interactive innovation projects have had to face in rural areas while being planned and set up would be interesting. The objective of this research work was to, therefore, identify and analyse the risk factors of 200 rural projects and initiatives that were selected as case studies from the whole of Europe.

The employed methodology consisted in conducting interviews to subsequently perform statistical independence analyses of the qualitative variables characterising the found projects and risk factors.

The findings indicated that most of the risks that rural projects and initiatives faced were related to the social domain which was, in turn, the fundamental pillar of interactive innovation. Dependence was found between social risk factors appearing and the innovation type carried out; the risk factors corresponding to the political–legal risks category and the project or initiative coordinating country; and the economic–technical risks category and the initiatives' geographic magnitude.

This paper exposes the main risks identified within various rural innovation initiatives and projects around Europe. For this purpose, a statistical analysis of independence was performed, allowing us to generate reliable and accurate results of the main risks associated with certain descriptive characteristics (coordinating region, domain, innovation type, gender balance and geographic magnitude) of the initiatives studied.

This study provides empirical evidence on the impact of the Panama Canal expansion (PCE) on the economies of Latin American and Caribbean (LAC) countries, particularly in light of the emergence of larger container ships such as neo-Panamax and post-Panamax vessels.

This study uses the Bayesian structural time Series (BSTS) model to evaluate the economic effects of the PCE on 21 countries within the LAC region. It utilized the World Bank's gross domestic product (GDP) figures between 2000 and 2019 as the primary variable, alongside the human development index (HDI) (X1), container throughput (TEU) (X2) and unemployment rates (UNEMPL) (X3) covariates. This allowed a precise and robust approach to analyzing time series data while accounting for uncertainties and allowing the inclusion of various components and external factors.

The findings revealed that the PCE has a positive and statistically significant impact on most countries within the Caribbean Transshipment Triangle, ranging from 9.2% in Belize to 46% in Cuba. This suggests that the causal effect of the PCE on regional economies was not confined to any specific type of economy or geographical location within the LAC region. Where the growth rates were statistically insignificant, primarily in some Latin American countries, it coincided with countries that are primarily driven by exports and service industries, where bulk and oil tanker vessels are likely to be the main carriers for exports rather than container vessels.

The practical implications of this research are crucial for various stakeholders in the maritime industry and economic planning. The factors influencing economic growth resulting from investing in maritime activities are vital for decision-makers to create policies that lead to positive outcomes and sustainable development in regions and countries with flourishing maritime industries. The methodology and findings have significant implications for governments, managers, professionals, policy-makers and investors.