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This study advances research on workplace romance, employees' work-related attitudes, and discretionary work behaviors by drawing on a positive psychology theory to theorize interrelations between workplace romance, job involvement, and employees' work effort and provide empirical evidence of these interrelations. Data were collected in two waves (three months apart) from 365 supervisor-employee dyads in 64 firms from different Chinese manufacturing sectors. Data were analyzed using structural equation modeling (SEM), bootstrapping, and multigroup techniques. The present study found that workplace romance was positively related to employees' work effort. Moreover, employees' job involvement fully mediates the positive relationship between workplace romance and employees' work effort. Importantly, by using multigroup analysis, the current research found that workplace romance types - hierarchical/lateral and licit/illicit (extramarital) moderate the indirect relationship between workplace romance and employees' work effort. This study offers important implications for managers and policymakers of business organizations in China and elsewhere., Author(s): Muhammad Aamir Shafique Khan [sup.1] [sup.2] , Jianguo Du [sup.1] , Farooq Anwar [sup.2] , Sikandar Ali Qalati [sup.1] , Muhammad Waqas [sup.2] , Shuja Iqbal [sup.1] Author Affiliations: [...]

The present study examines the role of death anxiety as an important mechanism underlying the relationship between fear of Covid-19 and hotel frontline employees' (FLEs) sense of work alienation. Importantly, the study proposes FLEs' intrinsic spirituality as being a relevant boundary condition. Results, based on time-lagged survey data (three rounds, 2 weeks apart) from 203 FLEs in 91 hotels and analyzed using structural equation modeling, reveal that death anxiety mediates the association between fear of Covid-19 and work alienation. In addition, FLEs' intrinsic spirituality moderates the direct relationship between fear of Covid-19 and death anxiety and the indirect relationship between fear of Covid-19 and work alienation, such that the relationships are weak when intrinsic spirituality is high (vs. low). The study offers several important suggestions that can help hospitality managers address FLEs' sense of work alienation during traumatic conditions. Highlights: Death anxiety mediates the relationship between fear of Covid-19 and work alienation. Intrinsic spirituality moderates the link between fear of Covid-19 and death anxiety. Intrinsic spirituality moderates the indirect fear of Covid-19-work alienation link. The findings can help hotel managers address FLEs' sense of work alienation. [ABSTRACT FROM AUTHOR]

Our study focuses on the role of foreign capital which includes foreign direct investment, foreign aid, and economic freedom in poverty alleviation in developing and underdeveloped countries by using panel data from 1995 to 2018 for 71 countries. In the pursuit of achieving our objective, we employed several econometric techniques such as dynamic ordinary least square, fully modified ordinary least square, dynamic fixed effect, and pooled mean group regression methods. Furthermore, we performed the Granger causality test, impulse response function, and variance decomposition analysis. In our long-run estimations, we found that foreign direct investment could significantly alleviate poverty but increases poverty in the short run. Instead, foreign aid plays no significant role in poverty alleviation. Moreover, economic growth and economic freedom are essential as our findings consistently exhibited that they play a crucial role in poverty alleviation. We also found bidirectional causality between poverty alleviation and population growth, while a unidirectional causal linkage was found from poverty alleviation to foreign aid. We conclude that policymakers should look at a new paradigm of developmental assistance, and governments should also create an aiding environment for foreign investment to support their growth plan. [ABSTRACT FROM AUTHOR]

Based on the value co-creation theory, this study proposed a theoretical model of the effects of value co-creation on the growth of social enterprises. Primary data was obtained using field surveys through a close-ended questionnaire from January to June 2019. The respondents were employees of social enterprises working in the Punjab province of Pakistan. Partial least squares structural equation modeling was used for quantitative data analysis and to verify the statistical significance of the direct link between value co-creation and social enterprise growth, and the negative moderating (substituting) effect of environmental dynamics on the relationship between value co-creation and social enterprise growth. [ABSTRACT FROM AUTHOR]

For the past decade, the level of carbon dioxide emission in most cities in China is on the ascendancy. Yet, better prediction of environmental pollution is at the fringes of recent studies. Several erstwhile researchers have attempted predicting pollution whilst utilising approaches including the ordinary linear regressions, multivariate regressions, autoregressive integrated moving average (ARIMA), evolutionary and some conventional swarm intelligence. These conventional approaches, however, lead but to imprecise predictions owing to the inherent parameter problems characterised in those approaches. Consequently, there is the need for a better prediction of the key antecedents that affect air pollution whilst using robust techniques. This current study, therefore predicts the carbon emissions levels of China into the next decade, in response to changes in key economic variables: energy consumption, economic growth, trade, and urbanisation. This is to aid in monitoring and implementing of tailored policies and transformations in China and in similar developing and emerging economies. Our findings revealed a steadily rise in emissions as the economy grows during the initial years but decline in the ensuing forecasted period. The findings of the impulse response function, revealed that in the next decade, urbanisation, and trade (import and export) will be the major contributors of carbon dioxide emission. The proposed Brainstorm optimisation algorithms prediction model was verified and validated with actual data. Our study revealed that the Brainstorm Optimisation algorithm predicts better with less prediction error even under uncertainty information. [ABSTRACT FROM AUTHOR]