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: 21 / 21 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 — 24 Oct 2026 04:38 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.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 selected publications.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 selected publications.
21 / 21 with data · 0 missing or unmatched. Percentages use all 21 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 21 | 21 | 21/21 | 21/21 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 49 | 21 | 21/21 | 21/21 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 73 | 21 | 21/21 | 21/21 |
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 21 / 21 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): 2026-10-21T07:22:47.392315+00:00 — 2026-10-24T04:38:21.183711+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 | 21 | 21/21 |
| 2018 | All selected publications | 0 | 21 | 21/21 |
| 2019 | All selected publications | 0 | 21 | 21/21 |
| 2020 | All selected publications | 0 | 21 | 21/21 |
| 2021 | All selected publications | 0 | 21 | 21/21 |
| 2022 | All selected publications | 0 | 21 | 21/21 |
| 2023 | All selected publications | 5 | 21 | 21/21 |
| 2024 | All selected publications | 24 | 21 | 21/21 |
| 2025 | All selected publications | 32 | 21 | 21/21 |
| 2026 | All selected publications | 12 | 21 | 21/21 |
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 |
|---|---|
| 2023 | 21 |
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 | 21 | 49 | 73 | 21/21 | 2.33 | 1 | 61.9 | 21/21 · 100.0% |
* Percentage among publications with a known citation count.
The attitude that employees have towards their job is well believed to have an influence on their performance. This study investigated the influence of job satisfaction on employees’ performance. Herzberg’s two-factor hygiene and motivation theory was used to explain employees' motivation for best performance. A cross-sectional survey design in the form of a structured questionnaire was used to randomly sample one hundred (100) employees of the University of Zululand, South Africa. Descriptive and correlation analysis were used to analyze the collected data. The findings indicate that job satisfaction does not influence employees’ performance. The study concludes that UNIZULU employees enjoy their roles despite the unsatisfactory benefits attached. In spite of the unsatisfactory level of benefits, they perform their duties effortlessly. This research contributes to research-based knowledge that will assist universities’ management in identifying the factors that will enhance employees’ performance.
Assessing the readiness and maturity of small and medium enterprises (SMEs) is a foundation for implementing emerging technologies like big data analytics and artificial intelligence to drive their digital transformation endeavours. This study emphasises that readiness and maturity dimensions offer descriptive and prescriptive guidelines for gauging the current and desired levels of preparedness and maturity required to achieve desired digital transformation outcomes. However, prevailing readiness and maturity models overlook the diverse stages of advancement in big data analytics and artificial intelligence. This research explores the dimensions essential for assessing SMEs' readiness to adopt big data analytics and artificial intelligence. This paper identifies the key dimensions for evaluating SMEs' readiness and maturity across different categories of big data analytics and artificial intelligence by conducting a systematic literature review and employing cluster analysis. The study's principal findings underscore that SMEs' readiness for maturity is influenced prominently by strategic leadership and organisational culture, closely trailed by information technology, security, and business model transformation. Additionally, three pivotal dimensions encompass data analytics and governance, cost-benefit and risk management, and environmental factors. Consequently, proposing that evaluating digital readiness and maturity for SMEs should encompass these six dimensions, thoughtfully considering various prerequisites related to analytics and artificial intelligence.
Widowhood in Africa presents unique challenges for women due to cultural and social factors. This paper discusses the challenges of widowhood in African contexts with a view that various social, cultural, legal, financial, and economic issues are at the centre of the challenges widows face in Africa. A thematic literature review was used to examine the multifaceted challenges faced by widows in African societies. Findings show that widows in Africa face multiple challenges, including limited healthcare access, property rights, social support, and harmful traditional practices, impacting their well-being across various dimensions. Cultural attitudes, legal barriers, resource constraints, limited awareness, and the complex interplay of these factors hinder effective interventions. The literature review also found that changing cultural norms, improving access to education and economic opportunities, and strengthening social protection systems are crucial steps towards creating a more inclusive and equitable society for widows. The paper concludes that comprehensive and coordinated strategies are necessary to address these multifaceted challenges, including legal reforms, economic empowerment, awareness campaigns, and the provision of essential resources. Further, collaborative implementation of these strategies can promote gender equality, reduce poverty, and enhance the lives of widows in African countries. Further, there is a need for the urgency of comprehensive interventions and support systems to alleviate the hardships faced by widows in African societies.
South Africa is a diverse nation with a rich tapestry of indigenous languages spoken across its provinces. As the country continues its democratic journey, local government plays a pivotal role in ensuring service delivery, community engagement, and development. This article explores the potential of indigenous languages as a valuable resource for enhancing the efficiency of local government operations. Indigenous languages, often marginalised, hold a wealth of cultural, historical, and contextual knowledge that can be harnessed to improve governance, communication, and community engagement at the local level. This paper investigates the multifaceted benefits of incorporating indigenous languages into various aspects of local government activities. The paper also draws upon case studies on incorporating indigenous languages in municipalities for efficient communication.
The Office of the Auditor-General in South Africa conducts audits of local government institutions, among other public-sector entities, to assess the current financial condition of municipalities and provide audit opinions for a certain fiscal year. Municipalities are obligated to maintain clean audits to avoid financial fines. However, the significance of clean audit outcomes lies in their ability to ensure successful service provision to the citizens. The Auditor-General's municipal audit findings reveal that several municipalities obtain clean audits, notwithstanding their inadequate performance in terms of service delivery. South Africa has a few municipalities that have successfully achieved desirable audit outcomes, with Midvaal Local Municipality being a notable example of consecutive clean audits. This study aims to evaluate whether the clean audit outcomes of Midvaal Local Municipality may serve as reliable indicators of effective service delivery within the municipality. The article utilizes a literature review and an online qualitative questionnaire survey with open-ended questions as approaches for collecting data. The article's findings highlight that the municipality has implemented effective management processes, also known as internal controls, which enable Midvaal to deliver services to its citizens in an effective and efficient manner. This management techniques may effectively determine the quality of service delivery within the municipality. They have a favorable impact on the municipality's financial viability, which directly results in clean audit conclusions.
South Africa is a diverse nation with a rich tapestry of indigenous languages spoken across its provinces. As the country continues its democratic journey, local government plays a pivotal role in ensuring service delivery, community engagement, and development. This article explores the potential of indigenous languages as a valuable resource for enhancing the efficiency of local government operations. Indigenous languages, often marginalised, hold a wealth of cultural, historical, and contextual knowledge that can be harnessed to improve governance, communication, and community engagement at the local level. This paper investigates the multifaceted benefits of incorporating indigenous languages into various aspects of local government activities. The paper also draws upon case studies on incorporating indigenous languages in municipalities for efficient communication.
This paper explores the potential role of indigenous languages in fostering local economic development through cultural-tourism within the Polokwane Local Municipality. As a region rich in cultural diversity and indigenous heritage, Polokwane presents a unique opportunity to leverage its linguistic and cultural assets for sustainable economic growth. This paper discusses how the incorporation of indigenous languages can contribute to various aspects of local economic development, including tourism, entrepreneurship, cultural preservation, and community engagement. Therefore, this conceptual paper uses a traditional literature review and secondary data analysis techniques to discuss trends of research on the relationship between indigenous language, cultural tourism and local economic development.
The Office of the Auditor-General in South Africa conducts audits of local government institutions, among other public-sector entities, to assess the current financial condition of municipalities and provide audit opinions for a certain fiscal year. Municipalities are obligated to maintain clean audits to avoid financial fines. However, the significance of clean audit outcomes lies in their ability to ensure successful service provision to the citizens. The Auditor-General's municipal audit findings reveal that several municipalities obtain clean audits, notwithstanding their inadequate performance in terms of service delivery. South Africa has a few municipalities that have successfully achieved desirable audit outcomes, with Midvaal Local Municipality being a notable example of consecutive clean audits. This study aims to evaluate whether the clean audit outcomes of Midvaal Local Municipality may serve as reliable indicators of effective service delivery within the municipality. The article utilizes a literature review and an online qualitative questionnaire survey with open-ended questions as approaches for collecting data. The article's findings highlight that the municipality has implemented effective management processes, also known as internal controls, which enable Midvaal to deliver services to its citizens in an effective and efficient manner. This management techniques may effectively determine the quality of service delivery within the municipality. They have a favorable impact on the municipality's financial viability, which directly results in clean audit conclusions.
The study's objective is to examine the impact of ESG investing on the stock performance of financial service providers in South Africa (SA) during the COVID-19 pandemic. This has significant ramifications for the usefulness of ESG investing during a crisis period. To this end, the study employs the panel nonlinear autoregressive distributed lags (PNARDL). The study finds that ESG investing had a significant impact on stock performance. The error term in the PNARDL reveals that the share price of financial service providers in SA was significantly affected by ESG investing. The PNARDL shows that, on average, a 1 percent increase in ESG investing increased stock price returns by 5 percent, cetiris paribus. This crucial finding has significant implications. It implies that ESG was another significant resilience factor behind the stock performance of financial service providers. Moreover, the PNARDL found that reducing ESG investing negatively affected stock price returns, while increasing ESG investing positively affected stock price returns during COVID-19. Hence, the study recommends that financial service providers increase ESG investing during a crisis period.
This study investigated the discursive strategies used in major speeches in South Africa with distinct socio-political systems, which put nation-building in a central place, making the nation both the context and an analytical unit for the study of nation-building. The research question that needed to be answered was: to what extent does a presidential speech, as a tool, reflect South Africa’s nation-building objectives? This study specifically examined various discursive techniques used in the political language of former President Thabo Mbeki. Two speeches by former President Thabo Mbeki were collected from the GCIS website. A general textual description of the speeches is made in terms of lexis and syntax to uncover the underlying ideology in the speeches. Thematic content analysis was adopted. The analysis was predominantly qualitative, supported by some statistical data, on the assumption that a purely qualitative analysis would not necessarily yield reliable results. The occurrence of linguistic features was presented; each text was transcribed and marked for relevant linguistic features. The critical discourse analysis revealed that, on a macro-level, the text of the speeches can be viewed as a manifestation of larger socio-political processes within the country. The texts illustrate a type of political speech positioned in a society in transition, as there are references to building a cohesive society, policy implementation, new programs of government, job creation, and poverty alleviation. The speeches did serve as a nation-building tool, as they conveyed the steps undertaken by the South African government to strive towards an inclusive and all-encompassing approach in an effort to achieve nation-building.
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 |