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Apr 11, 2025

Leadership role in creating strategic and harmonious employment relations in South Africa

The increasing significance of employment relations (ER) in the workplace has prompted this study, which explores how leadership positions ER as a strategic role player within the human capital (HC) function. A qualitative research approach was employed to investigate the role of leadership in ER, utilizing grounded theory as the research strategy. Data were collected through purposive sampling from 12 participants using semi-structured interviews, and the findings were analyzed using thematic analysis. The study revealed that integrating functions within the HC environment is crucial for creating strategic value in the workplace. It also highlighted that the strategic positioning of ER requires strategic leadership and creativity to achieve organizational vision and harmonious employment relations. The study proposed an ER strategic positioning model, offering practical guidelines for aligning the ER function with other HC functions to promote harmony and strategic value. This research contributes significantly to the ER field by providing both theoretical and empirical insights into the leadership qualities and strategies required to implement effective employment relations in organizations.

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Jun 26, 2024

Food security drive and adoption of improved rice varieties on the production efficiencies of upland and lowland rice farmers in north-central Nigeria

To attain the food security target of the country, fostering farmers’ adoption of improved rice varieties will go a long way toward closing the lingering production deficit gap in Nigeria, and meeting up with the ever-increasing demand for rice consumption in the country. This study investigated the effect of the adoption of improved rice varieties on the production efficiencies of rice farmers in the north-central Nigeria. A multistage sampling technique was uses to select 387 rice farmers, which includes 201 upland and 186 lowland rice farmers in the study area. A stochastic frontier analytical model (SFA) was employed to estimate production efficiencies (technical, economic and allocative) for the rice farmers. Further, a multivariate regression analysis (MVA) was applied to determine the effect of adoption on the efficiency levels of the rice farmers. The exploratory analysis of the data revealed that the rice varieties available for adoption by the rice farmers in the study area is 10, but both upland and lowland rice farmers adopted more of two rice varieties (Faro-46 and Faro-52). From the SFA results, most of the rice farmers have mean technical, economic and allocative efficiencies of 0.7, 0.54 and 0.76 respectively. The SFA estimates also indicated that seed, herbicide, fertilizer, farm size and capital assets significantly affect the efficiency of upland rice farmers, while the efficiency of their lowland counterparts is influenced by seed, farm size capital and herbicide, amongst others. The MVA estimates also showed that the adoption rate of improved rice varieties, years of formal education, and farm-level factors made significant contributions to the efficiency levels of the rice farmers. Importantly, the levels of adoption of all rice varieties by farmers indeed influenced their technical and economic efficiency, while having no impact on their allocative efficiency. The study recommended that the government, research institutes and developmental agencies should promote easy access to improved rice varieties by farmers, as this can further drive sustained adoption. This can evidently help to achieve desirable yield and enhance the efficiency level of the rice farmers and boost food availability and achieve the zero-hunger target in the study area and Nigeria at large.

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May 10, 2024

Investigating the integration of ESG factors into financial markets and its influence on sustainable economic growth in emerging Asian economies

It is increasingly obvious the huge improvement caused in loss of habitat and degradation in environment. Various nations are prone to natural disasters if this issue is not addressed. The development of finance has been hailed as significant in alleviating environmental concerns due to its part as a source of cash for the development of green technology. The primary goal of this research is to satisfy an acquaintance vacuum by investigating the relationship amongst economic growth and ESG (Environmental, Social and Governance) concert throughout Asia. This analysis made use of country-level data from 2010 to 2015. Economic growth is positively connected to ESG routine, due to examination upon the pooled normal least squares method, the immovable impact logistic method, these two-phase least squares technique, and the structure’s generalised approach of moments estimator. Additionally, additional tests including financial sector growth subcomponents (financial platforms and financial institutions) reveal that the conclusion is consistent and resilient under multiple model settings. Financial development, when combined, is an essential catalyst for promoting ESG performance in Asia.

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Nov 8, 2024

Harmonizing high-risk pregnancies: A comprehensive investigation into maternal and fetal well-being

High-risk pregnancies are a global concern, with maternal and fetal well-being at the forefront of clinical care. Pregnancy’s three trimesters bring distinct changes to mothers and fetal development, impacting maternal health through hormonal, physical, and emotional shifts. Fetal well-being is influenced by organ development, nutrition, oxygenation, and environmental exposures. Effective management of high-risk pregnancies necessitates a specialized, multidisciplinary approach. To comprehend this integrated approach, a comparative literature analysis using Atlas.ti software is essential. Findings reveal key aspects vital to high-risk pregnancy care, including intervention effectiveness, case characteristics, regional variations, economic implications, psychosocial impacts, holistic care, longitudinal studies, cultural factors, technological influences, and educational strategies. These findings inform current clinical practices and drive further research. Integration of knowledge across multidisciplinary care teams is pivotal for enhancing care for high-risk pregnancies, promoting maternal and fetal well-being worldwide.

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Jun 27, 2024

The analysis of work characteristic factors pertaining to the improvement and development of the quality of life of the elderly

This research aimed to 1) evaluate the demographic characteristics, economic, social, and environmental conditions, and characteristics of the senior people in Ranong province, 2) discover the most relevant work characteristic factors for the older persons, and 3) propose appropriate work characteristics model for older people to improve quality of life. This mixed-methods research, for the quantitative part, utilizes the techniques of MRA & CFA with a sample size of 378 individuals, and for the qualitative part, utilizes a documentary study, in-depth interviews with 19 key informants, and a focus group of 17 individuals. The quantitative data were analyzed using a statistical package for the social sciences (SPSS), and content and categorization analysis with a triangulation verification were used for qualitative data. The results showed that: 1) Ranong province is blessed with rich resources, having minerals that can generate income for the province, life-long learning is given priority in senior school to enhance knowledge and necessary life skills, 2) from the regression analysis, the six predicted work characteristic factors; physical, emotional, autonomous, resistant, low-technology and safety were found relevant with statistically significant at 0.05, and the CFA consistency indices also withstood with the six dimensions above, 3) the appropriate work characteristics is articulated in the form of PEARLS model where physical, emotional, autonomous, resistant, low-technology and safety dimensions are the key.

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May 15, 2025

Evaluating the impact of big data analytics in rural-based hospitals

While the healthcare landscape continues to evolve, rural-based hospitals face unique challenges in providing quality patient care amidst resource constraints and geographical isolation. This study evaluates the impact of big data analytics in rural-based hospitals in relation to service delivery and shaping future policies. Evaluating the impact of big data analytics in rural-based hospitals will assist in discovering the benefits and challenges pertinent to this hospital. The study employs a positivist paradigm to quantitatively analyze collected data from rural-based hospital professionals from the Information Technology (IT) departments. Through a comprehensive evaluation of big data analytics, this study seeks to provide valuable insights into the feasibility, infrastructure, policies, development, benefits and challenges associated with incorporating big data analytics into rural-based hospitals for day-to-day operations. The findings are expected to contribute to the ongoing discourse on healthcare innovation, particularly in rural-based hospitals and inform strategies for optimizing the implementation and use of big data analytics to improve patient care, decision-making, operations and healthcare sustainability in rural-based hospitals.

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