Search results

This study aims to explore emotions, psychological safety and organizational support in the workplace when transitioning from office to home-based work. By providing detailed descriptions of emotional reactions to this change, the study examines how organizational support might influence employees’ sense of psychological safety.

To analyze the data, a qualitative data analysis was applied through using thematic coding. Data were collected by conducting structured telephone interviews with participants. These interviews included open-ended questions. Employees from both public and private companies in the MENA region were invited to take part in the study. The participants included full-time, part-time and contractual employees from different industries. In total, 112 participants were included in the final sample.

The results indicate that when workplaces change, emotions are triggered by comparing oneself to others and having the necessary socioemotional resources. Employees’ emotional reactions are influenced by how they perceive organizational support, which affects their psychological safety. Specifically, comparing to colleagues in lower positions activates emotions like pride, empathy and support (downward social comparison emotion), while comparing to top management decisions elicits emotions like anxiety, stress, unfairness, inferiority and vulnerability (upward social comparison emotion).

The findings of this research shed light on how emotions arise from social comparison when workplaces undergo changes as well as the different socioemotional resources present within groups. Not much research has focused on core and periphery groups in this context. This study helps fill that gap in our understanding.

This paper aims at understanding the causes of low adoption of hybrid rice technology. The paper also assesses the impact of adoption of hybrids and modern varieties on crop yield, vis-à-vis the old or traditional varieties.

Using unit-level data from a large-scale survey of farm households (19,877 paddy cultivators), the authors applied multi-nomial regression method to understand the factors for adoption of hybrid rice and instrumental variable method of regression to estimate its impact.

The findings demonstrate that in India, hybrid rice is often grown on relatively poor soils, resulting in greater irrigation costs and for other inputs, such as fertilizers. Further, farmers' poor access to information on the traits of hybrid rice and the associated agronomic practices, as well as poor access to financial resources, hampers efforts to scale up its adoption. More importantly, the findings reveal that the relative yield advantage of hybrids over open-pollinated modern varieties is not large enough to incentivize the rapid adoption of hybrid rice technology.

Given the higher cost of hybrids than the inbred varieties, enhancing paddy cultivators' access to financial resources can accelerate the adoption of hybrid rice in India.

The study is based on unit level data from a large-scale, nationally representative survey of farm households, comprising a sample of 19,877 paddy cultivators, spread across states in India.

This study is of great significance in revealing the interactive and coordinated relationship between tourism development and the ecological environment, improving the level of environmental governance in the process of tourism economic development and realising the dual-carbon goal and sustainable development of the tourism industry.

This paper performs slack-based measure (SBM)-data envelopment analysis (DEA) analysis, benchmark regression and threshold effect measurement on a sample of 277 cities in China from 2011 to 2019, to estimate the impact of the digital economy on tourism eco-efficiency and to identify the moderating role of environmental regulation.

China’s tourism eco-efficiency shows a spatio-temporal characteristic of steady growth amid fluctuations. The digital economy has a positive facilitating effect on tourism eco-efficiency, which is non-linear with a single threshold effect (0.631), and when the level of the digital economy exceeds the threshold value, its facilitating effect increases from 0.696 to 0.927. Environmental regulation does not play the role of “the icing on the cake” during the digital economy’s impact on tourism eco-efficiency.

This study for the first time includes the digital economy, eco-efficiency and environmental regulation in the research perspective, and analysed the mechanism of action between the three, expanding the depth of research on the digital economy and environmental regulation in the field of tourism. Meanwhile, based on the development needs of policy specialisation and industrial refinement, this study has strong practical significance when conducted at the city level.

The purpose of the paper is to determine the extent to which ESG education in graduate finance programs at Kazakhstani universities impacts ESG-related issues incorporating emissions, unemployment rates and corruption.

This research relies on cross-sectional data for 20 regions of Kazakhstan and 66 universities clustered in those regions for the academic year 2022–2023. This study uses a multiple linear regression method to ascertain the relationship between ESG education and ESG problems.

Findings indicate that environmental education and overall ESG education have a negative impact on the volume of emissions and the youth unemployment rate. The number of universities is positively related to all three dependent variables representing issues on each aspect of ESG.

I might have omitted some important variables that can play a pivotal role in elucidating ESG-related problems, including the mobility of students from one region to another. Furthermore, the paper analyzed only finance programs at a graduate level, without touching undergraduate-level studies and other programs. Finally, the variables and, hence, the regression results are based on the academic year of 2022–2023; it does not account for the change for the past years and does not include time-series analysis.

This paper is original, as it examines whether ESG education helps to curb ESG-related issues at a national level in Kazakhstan, and the studies on sustainability education in Kazakhstan are limited.

Housing energy consumption is a significant contributor to climate change. Encouraging the adoption of energy-efficient products can be an effective way to reduce energy consumption. The impacts of social influences, such as peer effects and social norms, on energy efficiency adoptions were identified; however, these social influences are not quantified and compared with each other or with other influences. This study aims to investigate the choice of energy-efficient product adoption with different costs and how different social influences affect the choice through different processes and paths.

Two stated choice experiments were employed in Wuhan, China, to examine the impact of social influences on energy-efficient product adoption in low-cost and high-cost scenarios. Appliance packages (including fridges and washing machines) and heating and cooling systems were used for the two cost scenarios, respectively. The social influences are evaluated in three aspects: positive versus negative information, physical versus online social networks and peer effects versus social norms.

The study revealed how various factors, including social influences, impact energy-efficient product choices. Research results show that: (1) social influences have greater and wider impacts in the low-cost scenario than in the high-cost scenario; (2) negative information decreases the adoption of low-cost energy-efficient products, while positive information boosts high-cost energy-efficient product adoption and (3) people value the information provided by those they know personally and are more influenced by physical social networks.

This study contributes to a better understanding of social influence in energy-efficient product adoption with different costs. This study provides a comprehensive framework to investigate social influences comparing the impact of different processes, paths and types of information. The findings can also provide practical implications for policymakers to accelerate the energy transition in the built environment.

This paper examines the nexus between input credit access, farm performance and food nutrition in Ghana.

Using a random sample of 239 smallholder rice farmers, we utilized the endogenous switching regression model to address the self-selection issue and estimate the impact of input credit access on farm performance and food nutrition and further analyze the heterogenous impacts.

The results show that socioeconomic (age, education, sex, off-farm activity and farm size), institutional (extension contact and farmer-based organizations) characteristics and location variable significantly influence the decision to access input credit. After adjusting for both observed and unobserved factors, our findings reveal that access to input credit significantly improves rice yield, net profit and food nutrition of smallholder rice farmers in Ghana. Furthermore, results reveal that the effects of input credit access on rice yield, net profit and food nutrition are heterogeneous and subject to farmers’ propensity to access input credit. Specifically, we find that those with a higher inclination to access input credit experience larger positive impacts, indicating a positive selection process.

Access to agricultural input credit is essential for the adoption of modern and climate-smart technologies in agricultural production. However, the persistent lack of access to input credit hampers agricultural productivity and constrains investment in farm input resources in Sub-Saharan Africa. Our study calls for proper targeting of input credit interventions to incentivize the uptake of farm input credit such as improved seeds and fertilizers to improve overall crop production and achieve food security.

The study utilized rigorous econometric methods to analyze the impact of input credit access on smallholder rice farmers' farm performance and food nutrition in Ghana. The findings provide valuable guidance for policymakers and future research on agricultural development in Ghana.