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Purpose: This chapter uses the annual time series data to investigate how currency depreciation impacts inflation in Sri Lanka.

Design/methodology/approach: We utilized the autoregressive distributed lag (ARDL) test to evaluate the long-term correlation between the variables. Additionally, the Granger causality test was used to examine the short-term relationships.

Findings: The ARDL test findings indicate an elevated relationship between currency depreciation and long-term inflation in Sri Lanka. The coefficient value of the error correction term indicates that 1.19% of the discrepancy error is rectified each year, directing the inflation response variable toward the long-term equilibrium.

Policy Implication: The Central Bank of Sri Lanka (CBSL) should adopt a policy to tighten and lessen currency pressure and fend off inflationary pressure. To design appropriate policies, they must quantify the country’s exchange rate (ER) pass-through to inflation. The pass-through to inflation is most prominent when monetary policy action triggers or amplifies currency movements. However, this pass-through to inflation can be kept smaller provided central banks follow a credible inflation-targeting framework, operate in a flexible ER period, and are accessible from influences from fiscal authorities in the country.

Originality/value: This study uses the recently established ARDL limits cointegration approaches to investigate the enduring association between currency devaluation and price stability in Sri Lanka.

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

The effects of gendered views on employee voice are of great importance for knowledge sharing within public universities. Yet, they are still neglected by current human resource management and entrepreneurship literature. While strengthening themselves by reinforcing the strengths and opportunities, public universities can generate entrepreneurial opportunities through various knowledge-sharing mechanisms, including social networks and employee voice. This became a crucial lever for public universities to leverage competitive advantages and to support entrepreneurial activities through network knowledge-based sharing. For this purpose, this study aims to examine the various aspects of entrepreneurship via the voice of employees, emphasizing the moderating effect of gender and the mediating role of social networks on the link between employee voice and the entrepreneurial atmosphere of universities.

The authors collected survey data from a cross-sectional sample of 335 employees engaged in entrepreneurship activities within public universities in an emerging economy context and analyzed the data using partial least squares structural equation modeling (PLS-SEM) with the Smart-PLS software.

The PLS-SEM analysis found that different dimensions of the university entrepreneurial climate (communication, knowledge sharing and innovative climate) positively impact members’ voices within public universities. This effect is amplified by social networks, which are crucial for spreading knowledge among faculty, thereby fostering a more open and collaborative academic environment.

When acting, the university top management team should encourage the generation and dissemination of entrepreneurial ideas to nurture a dynamic entrepreneurial atmosphere and social involvement, ultimately supporting sustainable competitive advantages through a culture of strategic knowledge sharing. The results have practical implications for university managers, entrepreneurship education actors, administrators, policymakers and entrepreneurial ecosystem actors, by demonstrating how social networks can amplify the dissemination of ideas and entrepreneurial spirit.

This research explores how entrepreneurship and social networks can help faculty members have a stronger influence in academic settings. It also fills in the gaps in knowledge about how human resource management and entrepreneurship can work together to create a more communicative and innovative academic environment. Additionally, this study brings new ideas to existing literature by looking at how gender differences can affect employee voice, particularly emphasizing the importance of women in leadership roles at universities. This study is also the first to delve into how entrepreneurship and social networks, along with gender perceptions, play a role in shaping the voice of employees in a public university.

Drawing on a competency-based approach, this empirical study explores whether art and design students’ entrepreneurship skill sets (technical, managerial and entrepreneurial skills) influence their intention to own a business and whether gender and/or business ownership influence their entrepreneurship skill sets.

A total of 204 respondents were selected using a random sampling technique. The collected data was analyzed using descriptive and inferential statistics, including independent sample tests and two-way ANOVA.

The independent samples test revealed interesting results regarding art and design students’ entrepreneurship skill sets, distinguishing between those who own businesses and those who do not. The two-way ANOVA analysis indicated that certain factors significantly affect art and design students’ entrepreneurship skill sets while others do not.

The findings suggest that higher education institutions should reconsider their curricular frameworks to better equip art and design graduates with not only artistic skills but also robust entrepreneurial competencies based on targeted training programs that could be developed to enhance the managerial and entrepreneurial skills among art and design students.

This study addresses a gap in the literature by empirically examining the impact of entrepreneurship skill sets on the art and design students’ business ownership and investigating whether business ownership and/or gender influence their entrepreneurship skill sets, offering valuable insights for educational institutions and policymakers.

This study examines the impact of China's trade and foreign direct investment (FDI) on Africa's global value chain (GVC) participation and economic upgrading.

The study covered 48 African countries, cutting across the western, eastern, central, southern and northern subregions to cover the heterogeneity of the continent. The study adopted feasible generalized least squares panel VAR-Granger causality Wald test and system generalized methods of moments techniques for estimation.

Overall, China's FDI to Africa and US-Africa trade have a linear relationship with Africa's GVC involvement and economic upgrading. The findings suggest that although China-Africa trade has a positive impact on GVC engagement and upgrading, the marginal effect decreases in the face of US-Africa and EU-Africa trade.

This study provides new evidence on the impact of China's FDI and trade on African economies' GVC participation and economic upgrading. To the best of the authors’ knowledge, this is the first study to empirically explore the effects of China's FDI and trade on Africa's GVC integration and economic upgrading as well as from the perspectives of backward and forward GVC participation. Furthermore, the study empirically examines whether the effects of Africa's economic cooperation with China relative to its GVC engagement differ from those of Europe (EU) and the US via a comparative regression.

The current wave of decreasing electricity supply to meet the immediate demand of the populace is influencing not only economic growth but also the industrial productivity of the ECOWAS sub-region. In this context, this paper investigates the long-run and causal relationships between electricity consumption and industrial output in selected ECOWAS countries over the period 1971–2017.

The Autoregressive Distributed Lag (ARDL) bound testing approach is employed to determine the existence of relationships among the variables. The causal nexus between electricity consumption and industrial output is examined using both the Toda-Yamamoto causality test and the bootstrap-corrected causality technique.

The long run results indicated that increasing electricity supply enhances industrial output only in Benin, Cote d'Ivoire, Gambia, Guinea, Liberia, Nigeria, Senegal, and Sierra Leone. Furthermore, the causality test results confirmed the presence of all four hypotheses in this study, but the two causality tests agree, particularly in the evidence of growth and neutrality hypotheses. In the cases of Benin, Burkina Faso, Gambia, Ghana, Nigeria, and Sierra Leone, a unilateral causality running from electricity consumption to industrial output is found. However, no evidence of causality between electricity consumption and industrial production has been confirmed in Cote d'Ivoire, Guinea Bissau, Liberia and Niger.

The relevant energy stakeholders in the subregion need to reprioritize their policy framework to focus more on the electricity sector of their economies since electricity consumption is identified as an important driver of industrial growth in the West African countries.

This is the first study to provide a comparative and country-specific investigation of the nexus between electricity consumption and industrial output in Africa, particularly in the West African region.

Research on the living conditions of slum dwellers in the inner cities of developing countries has received much attention. Nevertheless, there is little empirical research on the influence of personal attributes on the poor environmental condition of the slum area. This study aims to examine the relationship between the socio-economic characteristics and the physical condition of the slum environment in the inner city of Ibadan, Nigeria.

Data was collected through the use of questionnaire administration from a household survey of 491 slum dwellers. Systematic random sampling was used in the selection of the respondents. The study used descriptive, factor and multiple regression to analyse the data collected.

The study used descriptive, factor and multiple regression to analyse the data collected. The study reveals an interplay between various socio-economic factors and environmental conditions. The results show that out of ten (10) socio economic variables that were submitted in the regression model, only eight (8) of these variables such as income, household size, occupation, level of education, age, marital status, year of residency and nativity were significant.

The study concluded that despite the fact that the condition of the slum environment is a product of multiple interrelated factors, personal attributes also contribute to the poor environmental condition of the slum area. The study recommended that improving the socio-economic conditions of slum dwellers would lead to improved environmental conditions.

This paper attempts to combine the application of artificial intelligence in predicting and evaluating the classification of surrounding rock grades and provides guidance for subsequent support design and reinforcement support operations.

This paper discusses the use of BPNN as the primary tool, combined with three swarm bionic optimization algorithms (GA, PSO, GWO), to solve stability evaluation and grade prediction of surrounding rock in ultra-deep roadway excavation.

Taking the Great Wall ore group as the core and the Shanghaimiao mining area as the extension, the optimal model is applied to the classification of surrounding rock grade in ultra-deep roadway engineering. Prediction results show that the performance of BPNN models is excellent.

Due to the limitations of geological conditions and construction environment in deep coal mines, the period of roadway excavation is too long, resulting in less data collection.

The prediction results can provide guidance for the excavation method, support scheme correction and reinforcement support scheme design of deep coal mine roadway engineering.

It provides guidance for deep mining of coal mine (the premise of surrounding rock support stability), so as to ensure the economic and safety benefits of coal enterprises.

The neural network is applied to rock mechanics in a deep site for the first time, which is used to solve the prediction direction of surrounding rock grade evaluation. The index of the input layer is determined by combining the “three high and one disturbance” with the on-site construction situation, which is closer to the actual project. The swarm intelligent bionic algorithms are selected to optimize the hyperparameters of back propagation neural network, so as to improve the accuracy of the models. The classification and evaluation system of surrounding rock for the Great Wall ore group is constructed, which is the core of Shanghaimiao mining area in the northwest of China, guiding the dynamic adjustment of on-site excavation and support operations.

Studies have shown that research is a global innovation’s “engine room.” Therefore, young adult-built environment researchers (YABER), especially in developing countries, need research upskilling and reskilling training for better-integrated outcomes. Evidence shows that research training can improve YABER competencies and proficiencies. In Nigeria, YABER may have had some challenges in training needs. There is a lack of extant literature about the issues facing Nigeria’s YABER upskilling and reskilling training needs. Thus, this study investigated the perceived problems facing YABER and proffered measures to improve their training needs in Nigeria.

The researchers used participants from Edo State, Abuja and Lagos State, Nigeria. This study adopted a qualitative research approach. The researchers accomplished saturation after 40 virtual interviews and adopted a thematic analysis for the primary data.

The research shows that the built environment research refines current and creates new knowledge. The built environment researchers (trainers and trainees) need training but face challenges. Findings clustered measures to improve quality research publications in the built environment through YABER training into government/regulatory agencies-related, higher education institutions-related and researcher-related measures.

The developed framework and thematic network analysis could be used to stimulate YABER training needs and, by extension, stir Nigeria’s higher education institutions regulatory agencies to upgrade requirements for academic staffers, especially published articles, to be compulsorily Scopus/Web of Sciences indexed for promotion exercise. This is the global best practice, and Nigerian scholars cannot be in isolation. It will form part of this study’s implication and revitalise UNSDG 4.

This study aims to examine how employee empowerment (personal value and impact) influences the delivery of services quality (SQD). The study focused in particular on the mediating effects of organizational citizenship behavior (OCB) on the link between employee empowerment (EE), personal value, employee impact and SQD.

A total of 310 survey questionnaires were completed by the nursing employees working in the public hospitals in Nigeria. SEM-PLS was used to carry out the statistical analysis.

The findings of the study revealed that EE (personal value and employee impact) and OCB significantly affect SQD. The findings also indicate that OCB mediates the link between SQD and personal value, employee impact and SQD.

The results of this study shed light on the influence of employee personal value and impact and its influence on SQD. Public hospitals should therefore concentrate on recognizing, comprehending and implementing employee empowerment to improve employee nurses’ capacity to achieve higher SQD. Along with how the accepted hypotheses are confirmed, the implications of these findings for theory and practice are also discussed.

Even though SQD has become a well-developed theoretical concept, previous research has rarely addressed the framework suggested for the present study, particularly when it comes to health care. In the context of public health sector settings, this study may be the first to examine the mediating role of OCB between personal values, employee impact and SQD.