Search results

Introduction: Interest and action concerning fiscal accountability have surged around the world in recent years, especially among Sub-Saharan African countries, because decision-making in the region has traditionally been shrouded in secrecy, with the general public having almost no access to knowledge on the management of public funds. Limited fiscal transparency has led to government fiscal crises where citizens have begun to call for better governance and participation in public funds.

Purpose: This study examines the impact of e-governance on the overall fiscal performance in SSA, while the specific objectives include the effect of e-governance on the central government’s primary balance and public external debt stock.

Methodology: The study employs annual data across 43 SSA countries to analyse the study from 2000 to 2018 using the panel-corrected standard error (PCSE) method for estimating the models. Overall fiscal performance is generated through principal component analysis (PCA), which involves a linear combination of public external debt stock and central government primary balance.

Findings: The results reveal that there is clear evidence of the effectiveness of e-governance on the overall fiscal performance, even though this is not the same for the public external debt stock in SSA, despite the success recorded in the region’s ICT and telecommunication sectors in recent times. In addition, all other control variables impact fiscal performance except population growth.

The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA).

The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses.

The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant.

The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms.

Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.

Housing provision and the neighbourhood's safety are significant social sustainability concerns. If structural issues are not well checked, housing provision and the neighbourhood's safety may become threatened, especially in Lagos State, Nigeria. Thus, this study aims to investigate the perceived root cause of collapsed buildings at the construction stage using two case studies, its effect on social sustainability aspects and suggested measures to mitigate future happening and enhance achieving social sustainability aspects goals.

The researchers collected data from Nigeria's built environment experts and eyewitnesses/employees of selected cases of collapsed buildings. The study adopted a phenomenology type of qualitative research design and analysed collated data via thematic analysis and achieved saturation. The analysed data created three themes.

Results reveal that inadequate heavy equipment and personnel incapacitated relevant government agencies are responsible for handling emergency and rescue during building projects collapse. Preliminary findings show developers' greed and systematic failures as the root cause of Nigeria's building project collapse (BPC). It categorised the root causes into three groups (developer's related-cause, design team related-cause and government entities related-cause). The study suggested measures to mitigate future happening. The emerged measures were grouped into a penalty, regulatory, byelaw act, technical and safety measures.

This study contributes to curbing the threat to social sustainability of housing provision in cities. It reveals the underlying perceived root cause of collapsed buildings in Nigeria's building industry. Also, it suggested feasible measures to mitigate BPC. These measures may be modified and adopted by other developing countries facing similar challenges.

As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Programme and the Committee on Earth Observation Satellites (CEOS) Work Plan, to support risk-informed decision-making, based on documented national and subnational needs and requirements.

Promotion of open data sharing and geospatial technology solutions at national and subnational scales encourages the accelerated implementation of successful EO applications. These solutions may also be linked to specific Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030 Global Targets that provide trusted answers to risk-oriented decision frameworks, as well as critical synergies between the Sendai Framework and the 2030 Agenda for Sustainable Development. This paper provides examples of these efforts in the form of platforms and knowledge hubs that leverage latest developments in analysis ready data and support evidence-based DRR measures.

The climate crisis is forcing countries to face unprecedented frequency and severity of disasters. At the same time, there are growing demands to respond to policy at the national and international level. EOs offer insights and intelligence for evidence-based policy development and decision-making to support key aspects of the Sendai Framework. The GEO DRR Working Group and CEOS Working Group Disasters are ideally placed to help national government agencies, particularly national Sendai focal points to learn more about EOs and understand their role in supporting DRR.

The unique perspective of EOs provide unrealized value to decision-makers addressing DRR. This paper highlights tangible methods and practices that leverage free and open source EO insights that can benefit all DRR practitioners.

This study explores challenges facing the applicability of deep learning (DL) in software-defined networks (SDN) based campus networks. The study intensively explains the automation problem that exists in traditional campus networks and how SDN and DL can provide mitigating solutions. It further highlights some challenges which need to be addressed in order to successfully implement SDN and DL in campus networks to make them better than traditional networks.

The study uses a systematic literature review. Studies on DL relevant to campus networks have been presented for different use cases. Their limitations are given out for further research.

Following the analysis of the selected studies, it showed that the availability of specific training datasets for campus networks, SDN and DL interfacing and integration in production networks are key issues that must be addressed to successfully deploy DL in SDN-enabled campus networks.

This study reports on challenges associated with implementation of SDN and DL models in campus networks. It contributes towards further thinking and architecting of proposed SDN-based DL solutions for campus networks. It highlights that single problem-based solutions are harder to implement and unlikely to be adopted in production networks.

Using the integrated behavioural model (IBM) as a theoretical framework, this study aims to identify the determinants of saving behaviour among Malaysia's income-earning Generation Y (Gen Y) born in the years 1980–1995.

The study was conducted using a questionnaire survey targeting Gen Y respondents 500 sets of responses were obtained via convenience sampling method.

Analysis conducted using partial least squares structural equation modelling (PLS-SEM) revealed that there were positive relationships among instrumental attitude, injunctive norm, perceived control, self-efficacy and intention to save. Secondly, intention to save, financial literacy and time preference were found to positively influence saving behaviour.

Policymakers may find this study useful as the results reveal saving behaviour determinants of Gen Ys in Malaysia, and policies could then be formulated to improve Gen Y's saving behaviour.

This study contributes to the literature by applying the IBM to a study on saving behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0340

Using the integrated behavioural model as a theoretical framework, this study aims to identify salient beliefs underlying intention to save regularly among Gen Ys in Malaysia.

Semi-structured interviews were conducted with 13 participants who were selected using purposive and snowball sampling methods.

While Gen Ys are not pushed by others to save, they find that older people (parents, parents-in-law, colleagues and relatives) influence them to save. The main facilitator of regular saving behaviour is low financial commitments. Expenses, particularly unexpected expenses, was found to be the main factor impeding the performance of regular saving. Overall, the participants feel that, irrespective of what happens in the future, they want to continue saving regularly. Lastly, self-efficacy might be present for some participants, but not self-control. Some end up withdrawing their savings for spending, emergency, and travel, thus ending up almost depleting their savings.

Of this study’s 13 interviewees, only one has not managed to save any money. Such an imbalanced sample composition was not deliberate. It appears those who have not saved money were reluctant to be interviewed, as this topic might be uncomfortable for them. This could have led to only those who save being eager to be interviewed.

Policy makers should find this study useful, as the behaviour of Gen Ys in Malaysia is different from the overall perception of Malaysians’ financial behaviours. Gen Ys have positive attitudes towards saving money, although they do not seem to practice long-term saving. Policymakers could identify, with banks and the Employee Provident Fund, ways to encourage Gen Ys to think long term. Government could play its part by creating and increasing awareness amongst Gen Ys on the long-term consequences of inadequate savings.

This study contributes to the literature by identifying the salient beliefs underlying regular saving behaviour through the conduct of elicitation interviews. It is an empirically grounded study enhancing the understanding of intention to perform regular saving among Gen Ys in an emerging market.

While many may assume that all students enrolled at historically Black campuses are African American, recent trends suggest these campuses are becoming increasingly diverse. In this chapter, we challenge common perceptions about historically Black colleges and universities (HBCUs), highlighting both what is known and yet to be known about enrollment trends and the experiences of students from diverse backgrounds at ­historically Black campuses. The chapter presents data from the National Center for Education Statistics, tracking changes in enrollments over time. These data are coupled with a review of research on the experiences of non-Black students at HBCUs, largely focusing on White students, but also integrating the narratives of a growing Latina/o/x student population. HBCUs can also be ethnically diverse, and we examine the heterogeneity within the Black student experience based on ethnic identity and immigrant status. We close with recommendations for research and practice, calling for increased attention to how non-Black populations experience, navigate, and engage HBCU campus communities to promote student outcomes and opportunities for learning across difference.