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With the recognition that generating economic growth is not the same as sustaining it, the challenge to catch-up and growth literature is discerning between these processes. Recent research suggests that the decline in the frequency of “shrinking” episodes is more important for long-term development than higher growth rates. By using a framework centred around social capabilities, this study aims to investigate the effects of income inequality and poverty on economic shrinking frequency, as opposed to previous literature that has exclusively had a growth focus. The aim is to investigate how and why some societies might be more resilient to economic shrinking.

The research is a quantitative study, and the authors build a longitudinal data set including 23 developing countries throughout 42 years to test the paper’s purpose. This study uses country and period fixed-effects specifications as well as cross-sectional graphical representations to investigate the relationship between proxies of economic inclusivity and the frequency of shrinking episodes.

The authors demonstrate that while inclusive societies are more resilient to shrinking overall, it is changes in poverty levels, but not changes in income inequality, that appear to be correlated with economic shrinking frequency. Inequality, while still an important element to explain countries’ growth potential as an initial condition, does not seem to make the sample more resilient to shrinking. The authors conclude that the mechanisms in which poverty and inequality are correlated with the catch-up process must run through different channels. Ultimately, processes that explain growth may intersect but not always overlap with the ones that explain resilience to shrinking.

The need for inclusive growth in long-term development has been championed for decades, yet inclusion has seldom been explored from the shrinking perspective. Though poverty reduction is already an important mainstream political objective, this paper differentiates itself by providing an alternate viewpoint of why this is important. Income inequality could have more of an economic growth limiting effect, while poverty reduction could be required to build resilience to economic shrinking. Developing countries will need both growth and resilience to shrinking, to catch-up with higher-income economies, which policymakers might need to balance carefully.

Extensive empirical evidence suggests that procedural justice (PJ) and distributive justice (DJ) are key success factors for achieving durable peace negotiations. This paper aims to investigate how complexity affects these factors and the outcomes in negotiations.

The qualitative study is based on an examination of the peace negotiations that led to the 2016 agreement between the Fuerzas Armadas Revolucionarias de Colombia – Ejército del Pueblo and the Colombian Government. Based on document analysis, the authors examined in detail how and where in the process the principles of PJ and DJ were applied. The authors then examined the implementation progress after 2016 and placed the peace process in the overall context of the Colombian conflict.

The authors found that the principles of PJ and DJ were present in both the negotiation process and the agreement. The negotiations were successful and satisfactory solutions could be found for all issues. The complexity of the conflict is reflected in the limited coverage of the peace negotiations. Not all groups, interests and subconflicts could be included in the negotiations. This limits their contribution to a durable peace in Colombia. Conflicts that remain unresolved also have a negative effect on the implementation of the agreement.

For conflict management, this implies that the negotiations should not be viewed as “one-and-done” but rather as a progressive, ongoing process. The agreement is only the nucleus for achieving total peace. It must be actively advanced and defended.

This study offers new qualitative insights into how PJ and DJ function in negotiations. It also establishes a systematic connection between PJ and DJ and complexity, introduces the notion of coverage and, thereby, opens a new perspective on the management of conflict complexity.

This research investigates the impact of customer rule violation issues on frontline employees' (FLEs’) burnout due-to-customers. A model and hypotheses are developed using COR theory and past literature on misbehaving customers and their effects on customer-facing employees.

The proposed model was assessed using a survey of 840 frontline retail, restaurant, service and caregiving employees and their reactions to the issue of misbehaving customers (i.e. rule breaking and/or rude customers).

FLEs' perceived frequency of customer rule violations, FLEs' concerns with misbehaving customers and FLEs' concerns with enforcing rules with these customers increased FLEs' burnout due-to-customers, while FLEs' customer orientation decreased it. Interactions among several antecedents were found relative to their effects on burnout. Burnout due-to-customers decreased FLEs' organizational commitment and increased quitting intentions. Additionally, this burnout mediated the relationships between our studied antecedents and job outcome variables (either partially or fully), with organizational commitment also mediating the relationship between burnout and quitting intentions.

The impact of FLEs' concerns relative to customers' rule breaking, which has not been previously addressed, is shown to increase FLEs' burnout due-to-customers, while FLEs' customer orientation buffered and reduced burnout, with frequency of violations interacting with several antecedents, and ultimately affecting burnout and several dependent variables—organizational commitment and quitting intentions. These FLE rule violation and enforcement concerns, captured at the height of the pandemic, are new variables to the literature. These issues have important implications for managers as to their treatment and training of FLEs in the future.

This study aims to ascertain the significance of retail service quality dimensions on shopping frequency at supermarkets in Durban. This study also adopts the Retail Service Quality Scale (RSQS) to South African supermarket consumers.

Primary data were collected from 399 consumers through mall intercepts using an adapted RSQS. Non-probability convenience sampling was utilised in selecting participants from different malls in Durban. To analyse data the SPSS software was utilised with multiple regression analysis to confirm relationships between variables of the study.

Results indicate a significant linear relationship between retail service quality and shopping frequency. Two of the three dimensions of retail service quality (atmospherics and reliability) have a positive and significant influence on the shopping frequency of consumers whereas one dimension (policy) showed no significant influence on the dependent variable.

Further studies are recommended in ascertaining the reasons behind an insignificant relationship between policy items of service quality and the shopping frequency of consumers.

This study highlights the managerial implications of retail service quality on improved shopping frequency of consumers.

This study suggests a lesser emphasis on policy items specifically personal interaction amongst Durban consumers on their shopping frequency. This might be due to cultural differences as well as the importance of self-service and privacy in supermarkets. Furthermore, this study demonstrates the role of context in providing deviations in retail service quality measurement and conceptualisation.

To facilitate the use of YouTube as an important global video portal for self-directed learning (SDL), it is important to understand YouTube users' distinctive learning experiences across cultures. This study examines factors influencing YouTube SDL based on the personal responsibility orientation (PRO) model. In addition, the two markets, US and Taiwan, were chosen to explore if national cultural differences affect YouTube users' SDL frequency and goals along with PRO variables.

A self-administered online survey of 372 college aged-YouTube users in the US and Taiwan was conducted to obtain the self-reported SDL behavior on YouTube and other demographic and video usage variable information.

Frequent video sharing and information seeking motives likely facilitate general YouTube SDL, while initiating online video search leads to specific goal-oriented SDL such as problem-solving and skill-improvement. Although American students use YouTube more frequently for SDL than Taiwanese students, Taiwanese students use YouTube more for specific skill improvement.

YouTube's social affordance enables YouTube users' informal and SDL across different national cultures and thus the role such social media play in encouraging lifelong learning needs further attention.

This study contributes to understanding how YouTube fosters the informal learning process through functions enabling YouTube users' self-directed information seeking, sharing and engaging with online videos with a cross-national comparison. This study is also expected to offer insights to promote the use of YouTube for SDL as a first cross-national study applying the PRO model in the context of YouTube SDL.

This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.

The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.

Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.

The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.

This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.

This study aims to predict customer churn in resort hotels by calculating the churn probability of repeat customers for future stays in the same hotel brand.

Based on the recency, frequency, monetary (RFM) paradigm, random forest and logistic regression supervised machine learning algorithms were used to predict churn behavior. The model with superior performance was used to detect potential churners and generate a priority matrix.

The random forest algorithm showed a higher prediction performance with an 80% accuracy rate. The most important variables were RFM-based, followed by hotel sector-specific variables such as market, season, accompaniers and booker. Some managerial strategies were proposed to retain future churners, clustered as “hesitant,” “economy,” “alternative seeker,” and “opportunity chaser” customer groups.

This study contributes to the theoretical understanding of customer behavior in the hospitality industry and provides valuable insight for hotel practitioners by demonstrating the methods that facilitate the identification of potential churners and their characteristics.

Most customer retention studies in hospitality either concentrate on the antecedents of retention or customers’ revisit intentions using traditional methods. Taking a unique place within the literature, this study conducts churn prediction analysis for repeat hotel customers by opening a new area for inquiry in hospitality studies.

This study aims to investigate the impact of the COVID-19 pandemic on the time-frequency connectedness between green bonds, stock markets and commodities (Brent and Gold), with a particular focus on China and its implication for portfolio diversification across different frequencies.

To this end, the authors implement the frequency connectedness approach of Barunik and Krehlik (2018), followed by the network connectedness before and during the COVID-19 outbreak. In particular, the authors implement more involvement in portfolio allocation and risk management by estimating hedge ratios and hedging effectiveness for green bonds and other financial assets.

The time-frequency domain spillover results show that gold is the net transmitter of shocks to green bonds in the long run, whereas green Bonds are the net recipients of shocks, irrespective of time horizons. The subsample analysis for the pandemic crisis period shows that green bonds dominate the network connectedness dynamic, mainly because it is strongly connected with the SP500 index and China (SSE). Thus, green bonds may serve as a potential diversifier asset at different time horizons. Likewise, the authors empirically confirm that green bonds have sizeable diversification benefits and hedges for investors towards stock markets and commodity stock pairs before and during the COVID-19 outbreak for both the short and long term. Gold only offers diversification gains in the long run, while Brent does not provide the desired diversification gains. Thus, the study highlights that green bonds are only an effective diversified.

This study contributes to the existing literature by improving the understanding of the interconnectedness and hedging opportunities in short- and long-term horizons between green bonds, commodities and equity markets during the COVID-19 pandemic shock, with a particular focus on China. This study's findings provide more implications regarding portfolio allocation and risk management by estimating hedge ratios and hedging effectiveness.

This research aims to examine the impact of religiosity and other control variables on Muslims’ environmental preservation and economic growth choices in 33 nations.

The study uses data from the World Values Survey (Waves 4–7) with a large sample size of 30,242 individuals. Logistic regression analysis is used to analyze the data, and the robustness principle is applied using the marginal effect of interaction variables method to select a viable model.

This study reveals that different aspects of religiosity – cognitive, affective and behavioral – positively impact the tendency of Muslims in 33 countries to prioritize environmental protection over economic progress. However, these influences vary significantly, as seen through odds ratios. In essence, the degree of religious devotion in these nations affects individuals’ leaning toward environmental preservation. This impact is further shaped by other factors such as politics, governance, economic development, environmental measures and legal frameworks.

The practical implication of this study is the development of an alternative theory that explains the conditions and categories under which religious beliefs and attitudes can influence the preferences of Muslims concerning environmental issues and economic growth.

This study fills a void in the body of literature by examining the nonlinear relationship between religiosity and individual Muslim preferences for environmental preservation and economic growth. It offers a framework for comprehending religion’s impact on Muslims’ redistributive individual preferences in these fields.

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crises episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak).

The authors use the GARCH and Wavelet approaches to estimate causalities and connectedness.

According to the findings, China and developed equity markets are connected via risk transmission in the long term across various crisis episodes. In contrast, China and emerging equity markets are linked in short and long terms. The authors observe that China leads the stock markets of India, Indonesia and Malaysia at higher frequencies. Even China influences the French, Japanese and American equity markets despite the Chinese crisis. Finally, these causality findings reveal a bi-directional causality among China and its developed trading partners over short- and long-time scales. The connectedness varies across crisis episodes and frequency (short and long run). The study's findings provide helpful information for portfolio hedging, especially during various crises.

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crisis episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak). Previously, none of the studies have examined the connectedness between Chinese and its trading partners' equity markets during these all crises.