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Around one in five girls in Kenya, aged 15 to 19 years old are either pregnant or have given birth. Of 47 counties, adolescent pregnancy is highest in Narok, where about 40% of girls aged 15 to 19 years old have begun childbearing. This study aims to explore drivers to sexual activity, access to sexual and reproductive health (SRH) services and barriers to contraceptive use among adolescents in Narok County, Kenya to inform the design of SRH interventions and safeguard young people’s rights to sexual health.

A cross-sectional mixed methods study was conducted in December 2019. Quantitative data were collected through structured questionnaires among girls aged 15 to 19 years old who were either pregnant or had given birth and those who had not and boys aged 15 to 19 years old. Qualitative data were collected through focus group discussions with adolescent girls and boys and through structured key informant interviews with parents, community leaders and health workers.

The mean age at first sexual intercourse for both genders was 15 years. While the majority of girls and boys knew where to access SRH services, few used contraception during their last sexual activity. There was no significant difference in the condom or other contraceptive methods use between girls who had begun child bearing and those who had not (p = 0.549 and p = 0.563, respectively). Key drivers for sexual activity among young people were poverty and peer pressure. Cultural practices such as female genital mutilation and early marriage contributed to early sex. Community attitudes toward contraception discouraged young people from taking up contraceptives.

This mixed methods study explores the drivers of adolescent pregnancy in Narok, Kenya, the county with the highest rates of adolescent pregnancy; twice the national pregnancy rates. Understanding the drivers of pregnancy and the underlying human rights violations will help policymakers and health leaders to design interventions which will improve outcomes.

The objective of this comparative quantitative study is to examine hypotheses regarding the impact of asset management and intellectual capital (IC) on the financial performance of the construction sector in the ASEAN-5 throughout 2019–2022 with enterprise resource planning (ERP) as a mediator variable.

A final sample of 65 construction industries listed on stock exchanges during 2019 and 2022 in ASEAN-5 (Indonesia, Philippines, Malaysia, Thailand and Singapore) was selected using the purposive sampling method. This research employs market-to-book value (MBV) as a measure of IC. The study also used path analysis, the Sobel test and analysis of variance test (ANOVA).

The findings demonstrate that asset management, intellectual capital and ERP have a significant and favorable impact on return on asset (ROA). Additionally, the asset management and IC of the ERP display weak and substantial outcomes. The implementation of ERP was also shown not to operate as a mediating factor. The ANOVA results on financial performance indicate significant differences for the year 2019. Furthermore, the use of various ERP software types demonstrates a comparable impact on enhancing financial performance.

This is the first study that utilizes ERP to mediate management asset and IC on financial performance. The ASEAN-5 construction sector is representative of developing nations' economic condition, offering the possibility to avoid the global economic collapse in 2023 and recover despite economic volatility.

This study aims to analyze the productivity improvement strategies of the agricultural sector based on the problems faced by the agricultural sector in Central Java, Indonesia.

The analysis is done through interviews, literature studies and analytical hierarchy process data processing aids.

The results show that the strategy for developing the agricultural sector in Central Java needs to be focused on institutional factors to organize the field agricultural sector institutions. The ideal institution for the development of the agricultural sector in Central Java is cooperatives that can be accompanied by the Islamic Microfinance Institutions (LKMS).

This paper will contribute new knowledge specifically about the productivity improvement strategy through the cooperative institution.

This study aims to explore AI’s potential impact on the broader landscape of higher education in Tanzania. This study contributes to the ongoing discussion of AI’s potential to transform higher education and highlights the ethical considerations and challenges that must be addressed to ensure its successful implementation. This study informs future research and policy decisions in education and technology by providing a detailed understanding of AI’s perceived benefits and challenges in higher education.

A mixed-methods approach was used, which involves collecting and analyzing quantitative and qualitative data to understand the research problem comprehensively. This approach allowed data triangulation and led to a more robust and detailed understanding of this study.

In this study, it was discovered that enhanced assessment, time-saving, personalized learning, improved accessibility and detecting cheating are the perceived benefits of AI as a tool for enhancing learning in higher education, while cost and infrastructure, academic misconduct, data privacy and security, bias and ethical concerns and lack of human interaction are the perceived challenges of AI as a tool for enhancing learning in higher education. Further, it was revealed that students are more accepting of using AI tools in the classroom because they think they are more effective and engaging. On the other hand, faculty were more cautious and skeptical about employing AI tools in the classroom because they worried about how it would affect their teaching methods and job security.

The data collection was not conducted face-to-face. To fully capture respondents’ emotional responses, feelings, facial expressions, reactions, or body language was challenging. However, a sufficient number of individuals who participated were very cooperative, and their knowledge was very beneficial in understanding the topic.

A unique view of this study is a clear understanding of the perceived benefits and challenges of using AI as a tool for enhancing learning in higher education, as well as the variations in these perceptions among students and faculty. By examining the perspectives of both groups, this study provides a comprehensive understanding of the complex role of AI in higher education. Understanding the broader implications of AI in higher education can inform policy decisions and ensure that AI is used responsibly and ethically.

The economic importance of palm oil produced by its producers in food requirement, income generation, production and consumption has led to a significant increase in its demand over the years. Thus, this chapter evaluates the effects of palm oil price fluctuations on the welfare of palm oil producers in Nigeria based on annual time series data (1980–2018). In achieving its objectives, the study employs Autoregressive distributed lag model (ARDL). The result establishes the presence of a long-run relationship in the welfare of palm oil producers. The long-run estimates show that palm oil prices had a positive but insignificant relationship with the welfare of palm oil producers. In the short-run estimates, palm oil price and the exchange rate had adverse and significant effects on the welfare of palm oil producers, while the inflation rate positively and significantly influenced welfare. Therefore, the welfare programme should adopt policies that will stabilise the palm oil price and other foodstuffs to increase the standard of living of palm oil producers and raise their literacy levels.

The purpose of this study is to deploy and expand the theory of planned behaviour (TPB) model with application to renewable energy investment by incorporating the component of tax incentives (TIN). This will serve as an additional measure in understanding the conventional energy stakeholders’ investment intention into renewable energy in Nigeria.

Data was collected from 357 individual key conventional energy stakeholders in Nigeria using survey questionnaires. The research model was tested using structural equation modelling.

The results from the study revealed the applicability of the TPB in predicting the conventional energy stakeholders’ investment intention into renewable energy. The result indicates that attitude and subjective norm are significantly associated with investment intentions.

The outcome implies that the integration of tax incentives can improve the predictive power of the model as the introduced variable demonstrates a significant impact on the conventional energy stakeholders’ investment intention into renewable energy.

This study extends on the well-established TPB model by integrating tax incentives in understanding investment intentions and the outcome implies a significant association of tax incentives with investment intention and moderated the influence of attitude and subjective norm over the conventional energy stakeholders’ investment intention.

TPB has been widely deployed and even extended to predict intention in numerous fields of study. Available literature presents the lack of such empirical research that focuses on investment in Nigeria and specifically regarding energy investment. The outcome highlighted the significant influence of tax incentives, thus the need for policymakers to suggest and implement various tax incentives to attract private investment into renewable energy for electricity generation that will consequently assist in achieving SDG-7 and mitigate climate change.

The past decade has witnessed a tremendous and progressive growth in the number of Nigerians who engage in medical tourism from Nigeria to India. Various commentators have advanced diverse reasons for this trend. However, there is a dearth of research that has sought to provide empirical insights. This paper aims to investigate the decision-making process of Nigerian medical tourists and why they prefer medical tourism to India to medical care locally.

Eight Nigerian medical tourists are interviewed on a one-on-one basis with open-ended questions using purposive criterion sampling technique from an interpretivist mind-set.

The paper identifies two major motivators, namely, inadequate medical infrastructure and poor medical, and customer service from health workers in Nigeria, which spurred medical tourism from Nigeria to India. Further, it finds that first timers premise their decisions on advice from reference groups, while previous personal experiences guide decisions on subsequent medical travels. Findings are explained using the template provided by the theory of planned behaviour.

This exploratory nature of this research provides a useful basis to elucidate the course of decision-making of Nigerian patients so that appropriate marketing communication channels can be applied. It improves the process of recruiting and engaging Nigerian patients and nurturing wholesome relationships between Nigerian patients and hospitals.

The purpose of this paper is to explore the phenomenon of dress codes in professions. Since they can be considered as carriers of both organizational communication and individual identity, they will be central in professions as communities and through the professionalization process. Therefore, we will ask the following question: what is the role of understanding and complying with dress codes in becoming a professional?

The empirical study consists in a series of ethnographic interviews and observations aiming at understanding dress codes' roles and dynamics in financial professions.

Exploring dress codes in three typical professions in finance, we have discovered that they also are mediums of communication within the group, strengthening a certain aesthetic sense of belonging and of presenting the self.

In this, becoming a professional can be understood as an aesthetic experience through which all senses are involved. Considering professions as being also aesthetic communities shifts the focus – or rather enlarges it – toward symbolic, corporeal and sensorial elements.

The purpose of this study is to determine the level of job satisfaction, turnover intentions and performance of Nigerian polytechnic lecturers with PhDs and to empirically examine the relationship between them.

This study adopted a descriptive correlational research design. Thus, an online self-reported questionnaire was used to gather primary data from a purposively selected sample of 167 Nigerian polytechnic lecturers with PhDs. Descriptive statistics and PLS-SEM were employed to analyse the data collected.

Descriptive results showed a low level of job satisfaction, high level of turnover intention and moderate level of performance of Nigerian polytechnic lecturers with PhDs. The structural model indicated a significantly positive link between job satisfaction and performance of Nigerian polytechnic lecturers with PhDs. Additionally, further analysis showed significantly negative links between job satisfaction and turnover intentions and between turnover intentions and performance of Nigerian polytechnic lecturers with PhDs.

There is a paucity of empirical studies on the impact of turnover intention on employee performance, particularly in the Nigerian context. This study provides empirical evidence of the negative impact of turnover intention on lecturer performance in the Nigerian context. Importantly, the findings of this study provide insights into the fundamental issues, which underlie the brain drain of lecturers in higher education institutions, especially in developing countries.

The opportunities that the building information modeling (BIM) mode of project delivery presents warrant the need for the construction professionals to be adequately trained on BIM technology and processes. The purpose of this paper is to assess the training gaps that exist between the perceived and expected knowledge of BIM practice among construction professionals in Nigeria.

The study was carried out through a structured questionnaire survey administered on identifying training gaps among registered Nigerian construction professionals toward BIM adoption. Relevant information on the perceived and expected BIM mode of practices was systematically collected from 212 participants who are familiar with BIM concepts. The data generated were analyzed using descriptive statistics and gap analysis.

Gap analysis was employed in determining the significance of BIM training gap for various practices among the construction professionals. The most significant gaps in BIM practice with gap analysis value>1 are the project review technique and clash detection for architectural practice. Among quantity surveyors, cost estimating, preparation of bills of quantities and project budgeting are the practice areas where there are significant training gaps in adopting BIM. For engineering practices, the gap analysis reveals a significant training gap in design creation and coordination, as-built-modeling, clash detection and space management.

The research is limited to the perception of the respondents on actual and ideal BIM practices, not considering the process workflow, facility requirements and other issues that revolve round BIM adoption and implementation. It is also limited to professionals in the industry, and further studies will be appropriate to address these limitations.

The study reveals that there is a great need to meet the training gaps for BIM adoption in ensuring efficiency of construction project delivery.

The gaps that exist between the actual and expected BIM training were statistically established.