Alexandra Codruța Bîzoi and Cristian Gabriel Bîzoi
This study explores the dual impact of AI-driven productivity tools on employee performance, well-being and sustainability, focusing on the key metrics of productivity…
Abstract
Purpose
This study explores the dual impact of AI-driven productivity tools on employee performance, well-being and sustainability, focusing on the key metrics of productivity, innovation, stress, job satisfaction and sustainability.
Design/methodology/approach
The study uses econometric models and simulated data and applies difference-in-differences and regression analysis to assess the effects of AI tools on 1,000 simulated employees.
Findings
AI tools enhance productivity but offer limited support for innovation. They increase stress and reduce job satisfaction while improving governance outcomes and transparency.
Research limitations/implications
Using simulated data may limit real-world applicability. Future studies should validate findings with empirical data regarding long-term sustainability impacts.
Practical implications
A balanced AI strategy combining training and well-being support is vital to mitigate stress and sustain employee satisfaction during AI integration.
Social implications
Monitoring employee well-being and sustainability metrics is fundamental to ensure responsible AI adoption.
Originality/value
This research provides new insights into balancing AI’s productivity benefits with its psychological and ethical implications, offering guidelines for responsible implementation.
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Jalal Rajeh Hanaysha and Taleb Bilal Eli
The objective of this research was to test the effect of information and communication technology (ICT) resources, library facilities, teacher lecturing skills and physical…
Abstract
Purpose
The objective of this research was to test the effect of information and communication technology (ICT) resources, library facilities, teacher lecturing skills and physical classroom environment on student satisfaction and university image. This paper also sought to contribute to the existing body of knowledge by confirming the role of student satisfaction as a mediator among the stated factors and university image.
Design/methodology/approach
Data were collected from 314 students at higher education institutions (HEIs) in the United Arab Emirates (UAE) using a survey instrument. Throughout the data analysis stage, the partial least squares structural equation modeling (PLS-SEM) was employed in order to validate the research instrument and test the hypotheses.
Findings
The findings verified that teacher lecturing skills and ICT resources have a positive effect on both student satisfaction and university image. Moreover, the study revealed that the library facilities and physical classroom environment positively affect both student satisfaction and university image. Lastly, the analysis showed that student satisfaction mediates the link between the stated factors and university image.
Originality/value
This paper adds to the published literature by investigating the direct and indirect effects of teacher lecturing skills, ICT resources, physical classroom environment and library facilities on university image via student satisfaction at HEIs in the UAE. This study is the first to integrate all of these factors into a single research model.
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Lianne Jones, Rachelle Rogers, Doug Rogers, Austin McClinton and Lisa Painter
The ever-changing educational landscape, exacerbated by recent events surrounding COVID, political and cultural unrest, necessitates educators who are antifragile, able to…
Abstract
Purpose
The ever-changing educational landscape, exacerbated by recent events surrounding COVID, political and cultural unrest, necessitates educators who are antifragile, able to withstand pressures and thrive amidst uncertainty. To this end, the pilot study reported here aims to examine mathematics educators’ initial reflections on what it means to be a risk-taker in the classroom, what prevents them from engaging in instructional risks and what would support their instructional risk-taking.
Design/methodology/approach
The pilot study utilized interviews with participants, including four pre-service teachers who were enrolled at the university and seven in-service teachers who were employed on active PDS campuses within the school district.
Findings
Preliminary findings suggest teacher beliefs concerning risk-taking, the barriers to engaging in such behaviors and the support needed to be able to take instructional risks. Results highlight the role of school–university partnerships in cultivating a culture of risk-taking through active collaboration and dialogue.
Research limitations/implications
These findings have important implications for universities and PDS partners engaged in preparing teachers for an educational field that is unpredictable and continually changing. Additional research should be completed in varying PDS settings.
Practical implications
Findings highlight the role of school–university partnerships in cultivating a culture of risk-taking through active collaboration and dialogue.
Originality/value
Educators are currently faced with an unprecedented instructional landscape. Antifragile, risk-taking teachers are needed who are adaptable and innovative, thus better equipped to enter the challenging and uncertain realities of education.
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Hayet Soltani, Jamila Taleb and Mouna Boujelbène Abbes
This paper aims to analyze the connectedness between Gulf Cooperation Council (GCC) stock market index and cryptocurrencies. It investigates the relevant impact of RavenPack COVID…
Abstract
Purpose
This paper aims to analyze the connectedness between Gulf Cooperation Council (GCC) stock market index and cryptocurrencies. It investigates the relevant impact of RavenPack COVID sentiment on the dynamic of stock market indices and conventional cryptocurrencies as well as their Islamic counterparts during the onset of the COVID-19 crisis.
Design/methodology/approach
The authors rely on the methodology of Diebold and Yilmaz (2012, 2014) to construct network-associated measures. Then, the wavelet coherence model was applied to explore co-movements between GCC stock markets, cryptocurrencies and RavenPack COVID sentiment. As a robustness check, the authors used the time-frequency connectedness developed by Barunik and Krehlik (2018) to verify the direction and scale connectedness among these markets.
Findings
The results illustrate the effect of COVID-19 on all cryptocurrency markets. The time variations of stock returns display stylized fact tails and volatility clustering for all return series. This stressful period increased investor pessimism and fears and generated negative emotions. The findings also highlight a high spillover of shocks between RavenPack COVID sentiment, Islamic and conventional stock return indices and cryptocurrencies. In addition, we find that RavenPack COVID sentiment is the main net transmitter of shocks for all conventional market indices and that most Islamic indices and cryptocurrencies are net receivers.
Practical implications
This study provides two main types of implications: On the one hand, it helps fund managers adjust the risk exposure of their portfolio by including stocks that significantly respond to COVID-19 sentiment and those that do not. On the other hand, the volatility mechanism and investor sentiment can be interesting for investors as it allows them to consider the dynamics of each market and thus optimize the asset portfolio allocation.
Originality/value
This finding suggests that the RavenPack COVID sentiment is a net transmitter of shocks. It is considered a prominent channel of shock spillovers during the health crisis, which confirms the behavioral contagion. This study also identifies the contribution of particular interest to fund managers and investors. In fact, it helps them design their portfolio strategy accordingly.
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Abstract
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Cuong Thanh Nguyen, Phan Thanh Hai and Huyen Khanh Nguyen
This paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in…
Abstract
Purpose
This paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector.
Design/methodology/approach
The authors have conducted a panel data regression analysis using data from 50 banking, insurance and finance companies listed in Vietnam's two biggest stock exchanges (HNX and HOSE) within the period from January 30th, 2020 to May 15th, 2021.
Findings
The regression results indicate that the daily growth in the total number of confirmed cases caused by COVID-19 has significant negative effects on the stock market returns and liquidity. Nevertheless, the Government's imposition of lockdown yields significant and positive outcomes on stock performance. In addition, the study reveals remarkable differences in returns of large-cap and small-cap stocks under the impact of the COVID-19 pandemic.
Research limitations/implications
The study indicates government and regulators should act more actively to limit the outbreak of the virus, improve investor confidence as well to support the financial services industry and deal with the outbreak of the pandemic later.
Originality/value
This is the first study to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services industry.