Browsing by Author "Soliman, Mohammad"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
- Could the ‘Spinner Innovation’ and ‘Triple Helix’ Models Improve System Innovation?Publication . Figueiredo, Ronnie; Soliman, Mohammad; Al-Alawi, Alamir N.; Fatnassi, TarekAlthough several prior studies have outlined and examined models associated with knowledge and innovation in different fields, the literature lacks any solid insights combining the Triple Helix model and the Spinner Innovation model and ascertaining their relevance to innovation. This article correspondingly presents an unprecedented alternative based on two innovation models, analyzing and structuring a process to innovate in different economic sectors. In doing so, this paper seeks to explore how this integration between Spinner Innovation and Triple Helix models could have a significant influence to improve system innovation. We collected data from the Scopus database spanning the period between 2012 and 2021 to study the integration of the models. The analysis identifies how these models differ but are nevertheless of complementary importance for developing regional and national economies through combining the “helices”, the “fidgets” and the framework integrating both models and their components to system innovation.
- Emotional Intelligence Outcomes in Higher Education Institutions: Empirical Evidence From a Western ContextPublication . Soliman, Mohammad; Sinha, Rupa; Di Virgilio, Francesca; Sousa, Maria Jose; Figueiredo, RonnieThe main outcomes of emotional intelligence (EMI) in the workplace have been researched in a variety of settings, however, few studies have focused on such consequences, particularly in the context of higher education institutions (HEIs). This research is therefore to empirically examine the impact of EMI on work-life balance, job insecurity, knowledge sharing behaviour, and workforce agility at HEIs. A total of 368 responses from academic staff members in Italy were analysed using PLS-SEM. The findings indicated that EMI has a significant impact on workforce agility, work-life balance, job insecurity, and knowledge sharing behaviour. In addition, work-life balance significantly impacted knowledge sharing behaviour, which in turn affected workforce agility. This article adds to the body of knowledge on the human resources management domain by highlighting the key consequences of EMI in HEIs within a western context. It also provides various managerial implications for concerned faculty members and senior managers at HEIs. Research limitations and avenues for further research are given.
- Exploring the Major Trends and Emerging Themes of Artificial Intelligence in the Scientific Leading Journals amidst the COVID-19 EraPublication . Soliman, Mohammad; Fatnassi, Tarek; Elgammal, Islam; Figueiredo, RonnieArtificial intelligence (AI) has recently become the focus of academia and practitioners, reflecting the substantial evolution of scientific production in this area, particularly during the COVID-19 era. However, there is no known academic work exploring the major trends and the extant and emerging themes of scientific research production of AI leading journals. To this end, this study is to specify the research progress on AI among the top-tier journals by highlighting the development of its trends, topics, and key themes. This article employs an integrated bibliometric analysis using evaluative and relational metrics to analyze, map, and outline the key trends and themes of articles published in the leading AI academic journals, based on the latest CiteScore of Scopus-indexed journals between 2020 and 2021. The findings depict the major trends, conceptual and social structures, and key themes of AI leading journals’ publications during the given period. This paper represents valuable implications for concerned scholars, research centers, higher education institutions, and various organizations within different domains. Limitations and directions for further research are outlined.
- The Impacts of Geopolitical Risks on the Energy Sector: Micro-Level Operative Analysis in the European UnionPublication . Figueiredo, Ronnie; Soliman, Mohammad; Al-Alawi, Alamir N.; Sousa, Maria JoséEnergy prices play a crucial role in combating geopolitical risks, especially for the major suppliers of energy resources. However, energy prices display a bilateral relationship with geopolitical risks in any economy. Any hike in the price of energy stimulates geopolitical risk factors and visa-versa. The consequences adversely impact economies and bring forth international tensions. This paper bridges a gap between the influence of geopolitical risks relating to energy and international tensions by analyzing micro-level operational measures. We deploy an empirical model to predict the energy sector and possible risk factors incorporating Eurostat data on twenty-seven states, from 2011 to 2020. This study collected a different energy variable to support the multiple regression model constructed by the “blocks” (hierarchical linear regression) method. The results suggest that geopolitical risks cause adverse effects on both the energy and other corporate sectors. The future direction of this research is to estimate how statistical model relationships may assist the corporate sector, and investors, in adopting mitigating measures to control upcoming geopolitical risks due to energy risks caused by geopolitical unrest.