Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 10 / 10 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 18:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 9 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 10 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 10 / 10 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:45.260575+00:00 — 2026-10-22T18:22:09.127572+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 0 | 10 | 10/10 |
| 2020 | All selected publications | 0 | 10 | 10/10 |
| 2021 | All selected publications | 0 | 10 | 10/10 |
| 2022 | All selected publications | 0 | 10 | 10/10 |
| 2023 | All selected publications | 2 | 10 | 10/10 |
| 2024 | All selected publications | 5 | 10 | 10/10 |
| 2025 | All selected publications | 5 | 10 | 10/10 |
| 2026 | All selected publications | 2 | 10 | 10/10 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2022 | 3 |
| 2023 | 5 |
| 2025 | 1 |
| 2026 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 10 | 12 | 14 | 10/10 | 1.2 | 0.5 | 50.0 | 10/10 · 100.0% |
* Percentage among publications with a known citation count.
The South African National Framework towards the Professionalization of the Public Service, moots the belief that professionalizing public administration is one of the key requirements for building state capacity. An efficient and effective public service may positively impact the state’s development agenda. The United Nations’ (UN) 17 sustainable development goals (SDGs) serve as a blueprint to achieve a better and more sustainable future for all with the focus on an end to poverty, and inequality, the protection of the planet, and the assurance that global citizens enjoy health, justice and prosperity. The core question that this paper addresses is: To what extent will professionalization of the South African public sector through learning and training programs offered at the National School of Government (NSG), contribute to the UN’s SDGs specifically and Africa Agenda 2063 (Agenda 2063) and the South African National Development Plan (NDP) 2030 in general? The paper is premised on a systematic stand-alone literature review. Content analysis was used to make sense of the secondary data consulted by honing in on pre-identified search terms. The study found that while the training programs offered at the NSG are aligned with the government’s focus on professionalization of the public service, specific mention of the SDGs, the NDP and Agenda 2063, are not made. It is recommended that with much talk around the re-calibration of the public sector by way of the NSG, an opportunity exists to explicitly teach the principles, objectives and aims of the aforementioned SDGs, NDP goals and Agenda 2063 objectives, in all its training programs, or that new programs are devised by the NSG solely focused on the attainment of the SDGs.
Big data (BD) adoption is still relatively slow despite the numerous business opportunities that it embodies. Within the context of financial institutions in South Africa, the specific drivers of big data adoption remain largely indeterminate. Consequently, this study explores the possible relationships between perceived usefulness and perceived ease of use and actual big data adoption, while being duly cognisant of the role that behavioural intention to adopt big data could play. The study employed a survey research approach and relied on data collected from a purposive sample of 195 management level employees of financial institutions. Regression analysis to test the hypothesised relationships in the study revealed that perceived usefulness and perceived ease of use were statistically significant predictors of big data adoption. Instructively, this relationship was subject to the extent of behavioural intention of respondents. For respondents with a low behavioural intention to adopt big data, perceived usefulness and perceived ease of use displayed a statistically insignificant relationship with big data adoption. Conversely, the regression model for the group of respondents with a high behavioural intention to adopt big data is statistically significant. These findings enrich literature related to big data from a developing country context while concurrently identifying veritable antecedents of big data adoption in financial institutions.
Under the leadership of the African National Congress (ANC), the South African Government has long mooted the notion of becoming a developmental state in response to rising unemployment, inequality and poverty. This idea was moulded along the folds of the rise of economic growth and industrialisation, as experienced by East Asian developmental states such as Taiwan, Singapore, South Korea and Hong Kong. There would be an attempt to channel the state’s administrative capacities, policies and resources towards attaining national development goals. A developmental state plays an active role in guiding economic development and using the country's resources to meet the needs of the people. State-owned enterprises (SOEs) such as the Electricity Supply Commission (Eskom) were meant to be the catalyst in the National Development Plan’s (NDP) bid to reignite the country’s stagnant economy. However, the country's state institutions, administrative capacities and resources have been challenged by the state capture debacle that shed light on the corrupt relationship between the political and business elite. As a lack of effective leadership, mismanagement and a complex regulatory framework appear to be at the core of the crisis at Eskom in particular, the main objective of this paper was to determine to what extent the aforementioned constructs perpetuated the energy crisis at Eskom and in turn, negatively impacted the socio-economic aims of the NDP and South Africa’s endeavour to become a developmental state. To achieve this objective, the paper pursued a qualitative research approach where secondary information about the crisis at Eskom, and South Africa’s goal to become a developmental state, were perused. One of the article’s recommendations was that Eskom's grip on the regional power economy must end and that independent power plants must be enabled.
Municipalities are mandated to follow the principles of democracy, accountability, and good governance. This is evident in the delivery of basic services. Municipalities are directly responsible for ensuring that communities have water, sanitation, and so on, and that community members have a voice that affects their existence. This is, however, not the case in most South African communities, where squalor and sordid conditions prevail. In 2021, it was reported that 64 municipalities were dysfunctional and that the dysfunction was attributed to “poor governance, weak institutional capacity, poor financial management, corruption, and political instability”. A Code of Conduct is available in the South African public sector, governing the behavior and work ethic of public officials, councillors, and the like. Yet corruption and maladministration at the local government level prevail. Therefore, the Local Government Ethical Leadership Initiative was launched in 2020 with the view of devising another code focused on ethical governance in South African local government by October 2023. The research question that this article addresses is centered on whether a new code of conduct is needed and whether the problem with the existing code does not lie with its enforcement or the ethnicity of the public officials in leadership positions and their view on how to conduct business. The article employed a qualitative research approach where secondary sources of information, constituting document analysis, premised around disruption and ethnic leadership as well as the legislative framework in relation to the Code of Conduct governing South African local government in particular and anti-corrupt behavior in general, were explored. Four provinces were purposefully selected to partake in the study. Extracts from the AG’s report formed the locus of the study. It was found that one cannot explicitly say that ethnicity plays a role in how municipalities are governed. However, governance in selected provinces was marred by poor governance practices and inadequate leadership. The Code of Conduct for Public Servants is generally not adhered to. Further research around ethnic leadership in the South African public sector is called for.
The IAF assists organizations in achieving accountability and integrity, enhancing the implementation of organizational programs, fostering public confidence, and mitigating the risk of mismanagement of public funds. Even though the significance of internal audit functions has been acknowledged and recognized in South Africa, the South African public sector is plagued by numerous issues resulting from the IAF's poor performance. The purpose of this paper is to investigate the factors that influence the efficacy of the internal audit function (IAF) within the Department of Defense (DoD). The investigation employed a qualitative methodology. Twenty-five professionals were interviewed in-depth, and the data were subjected to thematic analysis. Five factors have been identified as affecting the performance of the IAF within the DoD: limited resources, outmoded data collection techniques, a lack of automated data analytics software, the inaccessibility of audit records, and a lack of support from senior management. This article suggests that upper management invests in hiring competent and qualified personnel to automate its data collection and in purchasing data analysis software such as iAuditor, SAP, and TeamMate. It is recommended that audit records be well managed and securely stored and that internal auditors have complete access to information for conducting audits in all DoD sectors. The budget of the IAF within the DoD must be increased.
This article explores factors affecting principals' readiness to creatively implement policies, focusing on the policy on the South African Standard for Principalship. Policy implementation globally and in South Africa has faced an extraordinary frequency of failure. This occurs due to organizations' failure to measure readiness in employees, resulting in a lack of information about processes and strategies for implementing the policies. This article focuses on the perceptions of principals regarding factors that affect their readiness to creatively implement policies using a qualitative method. Information was gathered through semi-structured in-depth interviews. The information was collected on a small sample of fifteen principals from schools in Mopani East district, Limpopo province, and was analysed through qualitative inductive analysis. The study revealed that principals' readiness to implement policies is affected by motivating factors. The study recommends that the Department of Education focus on enhancing the motivation of principals, which can result in readiness to implement, and measure the readiness of principals to implement policies in advance of the formal operation.
Intellectual disability is a developmental disorder that markedly affects cognitive and adaptive functioning. Learners with mild intellectual disability are capable of engaging in various occupations, including activities of daily living, leisure, social interactions, and employment. Employment is frequently regarded as a critical measure of successful outcomes following education. Nonetheless, individuals with mild intellectual disabilities often exit the educational system lacking the workforce readiness skills—such as communication, social skills, self-management, responsibility, problem-solving, decision-making, and job-specific competencies—essential for sustained employment in the open labour market. Low intelligence quotients restrict community engagement. The researcher noted that South Africa does not have adequate systems to facilitate the successful transition of these learners from school to the workplace. This research investigates the experiences of educators and occupational therapists to delineate concepts related to facilitating school-to-work transitions for learners with mild intellectual disabilities. A qualitative exploratory research design was utilised. Fifteen educators and eight occupational therapists from schools for learners with mild intellectual disabilities in the Gauteng province, Tshwane region, were selected through purposive sampling. Data were collected via five focus group discussions until saturation was achieved and analysed thematically. Five primary themes were identified: challenges associated with the Differentiated Curriculum and Assessment Policy Statement (DCAPS), accomplishments within the DCAPS framework, collaborative initiatives, resource deficiencies, and learnership placement. Educators and occupational therapists could support learners in specific domains; however, they encountered systemic challenges. This study generated significant data for policymakers, the Department of Education, occupational therapists, and vocational skills training educators in schools for Learners with Special Education Needs, aimed at facilitating a successful school-to-work transition for learners with mild intellectual disabilities.
The South African National Framework towards the Professionalization of the Public Service, moots the belief that professionalizing public administration is one of the key requirements for building state capacity. An efficient and effective public service may positively impact the state’s development agenda. The United Nations’ (UN) 17 sustainable development goals (SDGs) serve as a blueprint to achieve a better and more sustainable future for all with the focus on an end to poverty, and inequality, the protection of the planet, and the assurance that global citizens enjoy health, justice and prosperity. The core question that this paper addresses is: To what extent will professionalization of the South African public sector through learning and training programs offered at the National School of Government (NSG), contribute to the UN’s SDGs specifically and Africa Agenda 2063 (Agenda 2063) and the South African National Development Plan (NDP) 2030 in general? The paper is premised on a systematic stand-alone literature review. Content analysis was used to make sense of the secondary data consulted by honing in on pre-identified search terms. The study found that while the training programs offered at the NSG are aligned with the government’s focus on professionalization of the public service, specific mention of the SDGs, the NDP and Agenda 2063, are not made. It is recommended that with much talk around the re-calibration of the public sector by way of the NSG, an opportunity exists to explicitly teach the principles, objectives and aims of the aforementioned SDGs, NDP goals and Agenda 2063 objectives, in all its training programs, or that new programs are devised by the NSG solely focused on the attainment of the SDGs.
Municipalities are mandated to follow the principles of democracy, accountability, and good governance. This is evident in the delivery of basic services. Municipalities are directly responsible for ensuring that communities have water, sanitation, and so on, and that community members have a voice that affects their existence. This is, however, not the case in most South African communities, where squalor and sordid conditions prevail. In 2021, it was reported that 64 municipalities were dysfunctional and that the dysfunction was attributed to “poor governance, weak institutional capacity, poor financial management, corruption, and political instability”. A Code of Conduct is available in the South African public sector, governing the behavior and work ethic of public officials, councillors, and the like. Yet corruption and maladministration at the local government level prevail. Therefore, the Local Government Ethical Leadership Initiative was launched in 2020 with the view of devising another code focused on ethical governance in South African local government by October 2023. The research question that this article addresses is centered on whether a new code of conduct is needed and whether the problem with the existing code does not lie with its enforcement or the ethnicity of the public officials in leadership positions and their view on how to conduct business. The article employed a qualitative research approach where secondary sources of information, constituting document analysis, premised around disruption and ethnic leadership as well as the legislative framework in relation to the Code of Conduct governing South African local government in particular and anti-corrupt behavior in general, were explored. Four provinces were purposefully selected to partake in the study. Extracts from the AG’s report formed the locus of the study. It was found that one cannot explicitly say that ethnicity plays a role in how municipalities are governed. However, governance in selected provinces was marred by poor governance practices and inadequate leadership. The Code of Conduct for Public Servants is generally not adhered to. Further research around ethnic leadership in the South African public sector is called for.
Big data (BD) adoption is still relatively slow despite the numerous business opportunities that it embodies. Within the context of financial institutions in South Africa, the specific drivers of big data adoption remain largely indeterminate. Consequently, this study explores the possible relationships between perceived usefulness and perceived ease of use and actual big data adoption, while being duly cognisant of the role that behavioural intention to adopt big data could play. The study employed a survey research approach and relied on data collected from a purposive sample of 195 management level employees of financial institutions. Regression analysis to test the hypothesised relationships in the study revealed that perceived usefulness and perceived ease of use were statistically significant predictors of big data adoption. Instructively, this relationship was subject to the extent of behavioural intention of respondents. For respondents with a low behavioural intention to adopt big data, perceived usefulness and perceived ease of use displayed a statistically insignificant relationship with big data adoption. Conversely, the regression model for the group of respondents with a high behavioural intention to adopt big data is statistically significant. These findings enrich literature related to big data from a developing country context while concurrently identifying veritable antecedents of big data adoption in financial institutions.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |