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: 3 / 3 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 07:23 UTC — 22 Oct 2026 01:46 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 1 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-21T07:23:05.106707+00:00 — 2026-10-22T01:46:03.901380+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
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 |
|---|---|
| 2026 | 3 |
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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 1 | 1 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study’s objectives were to assess the extent the AEO programme contributed to improved customs tax compliance among participating businesses and how the AEO programme has affected trade facilitation in South Africa. A mixed-method research approach was used, combining qualitative and quantitative data from a survey. The sample size was 22, selected through purposive stratified sampling, including 1 tax lecturer from the University of KwaZulu-Natal and 21 middle management employees from the South African tax administrator’s AEO department. Key informants reported that the AEO programme has enhanced compliance rates through the implementation of improvement initiatives, the establishment of partnerships, and support for non-compliant applicants. The AEO programme is a voluntary initiative created by the World Customs Organisation in order to ensure compliance and facilitate trade. The programme enhances trade by offering dedicated support through CRM teams, streamlining business operations, and ensuring the swift release of goods.
The purpose of this study is to evaluate the impact of the burden of tax compliance on small and medium-sized businesses (SMEs) in Durban, which is located in South Africa. Taxes impose considerable and regressive compliance costs, which restrict the growth of small and medium-sized enterprises (SMEs), notwithstanding the efforts of the government. During the course of this investigation, quantitative, cross-sectional, and survey research methodologies were utilised. The creation of new jobs is the objective of the 'New Growth Path' initiative of the South African government. The realm of small businesses is the most widespread sector that has the potential to assist in the achievement of this objective. On the other hand, the development of this sector is hampered by rules concerning tax compliance. The number of small enterprises in KwaZulu-Natal has decreased by 13.5% over the past several years. According to the findings of a survey conducted with 96 small and medium-sized enterprises (SMEs), forty percent of SMEs consider regulatory expenses to be the primary barrier to growth. The burden of tax compliance is continuously increasing, and the costs of tax compliance continue to be regressive, which places an even bigger strain on small firms by increasing the burden. As a result of the fact that the majority of their resources are devoted to tax compliance requirements, the findings suggested that the majority of small and medium-sized enterprises (SMEs) prefer tax regimes that are simpler and have lower rates. It has been established via previous research that the costs associated with tax compliance are large, regressive, and continue to increase, resulting in an administrative burden. Tax advantages for small businesses in South Africa are not very impressive, and the majority of owners are not aware of the tax savings that are available to them. It is suggested that Social Security Administration (SARS) launch more efficient efforts in order to educate proprietors of small businesses about the concessions that are available.
This study investigated the effects of digitalisation of tax administration on tax compliance among selected small and medium enterprises (SMEs) in Ibadan North West Local Government Oyo State, Nigeria. The study was anchored on the Technology Acceptance Model (TAM), which explains technology adoption through perceived usefulness, perceived ease of use, and external constraints. A descriptive survey design was adopted, and structured questionnaires were administered to 367 SMEs across key business sectors. Of these, 352 valid responses were analysed using SPSS through descriptive statistics and ANOVA. The study examined the level of digital technology adoption, the perceived influence of digital tax administration on compliance, the drivers of non-compliance, and preferred policy measures for improvement. Findings revealed generally low digital technology adoption among SMEs, with 42.9% reporting very low adoption and 36.6% reporting low adoption. The major barriers were poor internet connectivity, high cost of technology and digital tools, limited technical skills, and inadequate awareness. Perceptions of digital tax reforms showed limited realised compliance benefits, as 48.9% of respondents reported no noticeable improvement in compliance, 21.3% reported improved ease of compliance, while 29.8% stated that compliance had become more difficult. Non-compliance was mainly linked to limited awareness of tax obligations, weak enforcement, affordability challenges, and low digital capability. The study concludes that digitalisation can improve SME tax compliance only when foundational readiness gaps are addressed. It recommends improving broadband reliability, reducing digital access costs, strengthening taxpayer education, simplifying digital tax processes, providing practical training, and ensuring consistent and fair enforcement.
This study investigated the effects of digitalisation of tax administration on tax compliance among selected small and medium enterprises (SMEs) in Ibadan North West Local Government Oyo State, Nigeria. The study was anchored on the Technology Acceptance Model (TAM), which explains technology adoption through perceived usefulness, perceived ease of use, and external constraints. A descriptive survey design was adopted, and structured questionnaires were administered to 367 SMEs across key business sectors. Of these, 352 valid responses were analysed using SPSS through descriptive statistics and ANOVA. The study examined the level of digital technology adoption, the perceived influence of digital tax administration on compliance, the drivers of non-compliance, and preferred policy measures for improvement. Findings revealed generally low digital technology adoption among SMEs, with 42.9% reporting very low adoption and 36.6% reporting low adoption. The major barriers were poor internet connectivity, high cost of technology and digital tools, limited technical skills, and inadequate awareness. Perceptions of digital tax reforms showed limited realised compliance benefits, as 48.9% of respondents reported no noticeable improvement in compliance, 21.3% reported improved ease of compliance, while 29.8% stated that compliance had become more difficult. Non-compliance was mainly linked to limited awareness of tax obligations, weak enforcement, affordability challenges, and low digital capability. The study concludes that digitalisation can improve SME tax compliance only when foundational readiness gaps are addressed. It recommends improving broadband reliability, reducing digital access costs, strengthening taxpayer education, simplifying digital tax processes, providing practical training, and ensuring consistent and fair enforcement.
The purpose of this study is to evaluate the impact of the burden of tax compliance on small and medium-sized businesses (SMEs) in Durban, which is located in South Africa. Taxes impose considerable and regressive compliance costs, which restrict the growth of small and medium-sized enterprises (SMEs), notwithstanding the efforts of the government. During the course of this investigation, quantitative, cross-sectional, and survey research methodologies were utilised. The creation of new jobs is the objective of the 'New Growth Path' initiative of the South African government. The realm of small businesses is the most widespread sector that has the potential to assist in the achievement of this objective. On the other hand, the development of this sector is hampered by rules concerning tax compliance. The number of small enterprises in KwaZulu-Natal has decreased by 13.5% over the past several years. According to the findings of a survey conducted with 96 small and medium-sized enterprises (SMEs), forty percent of SMEs consider regulatory expenses to be the primary barrier to growth. The burden of tax compliance is continuously increasing, and the costs of tax compliance continue to be regressive, which places an even bigger strain on small firms by increasing the burden. As a result of the fact that the majority of their resources are devoted to tax compliance requirements, the findings suggested that the majority of small and medium-sized enterprises (SMEs) prefer tax regimes that are simpler and have lower rates. It has been established via previous research that the costs associated with tax compliance are large, regressive, and continue to increase, resulting in an administrative burden. Tax advantages for small businesses in South Africa are not very impressive, and the majority of owners are not aware of the tax savings that are available to them. It is suggested that Social Security Administration (SARS) launch more efficient efforts in order to educate proprietors of small businesses about the concessions that are available.
This study’s objectives were to assess the extent the AEO programme contributed to improved customs tax compliance among participating businesses and how the AEO programme has affected trade facilitation in South Africa. A mixed-method research approach was used, combining qualitative and quantitative data from a survey. The sample size was 22, selected through purposive stratified sampling, including 1 tax lecturer from the University of KwaZulu-Natal and 21 middle management employees from the South African tax administrator’s AEO department. Key informants reported that the AEO programme has enhanced compliance rates through the implementation of improvement initiatives, the establishment of partnerships, and support for non-compliant applicants. The AEO programme is a voluntary initiative created by the World Customs Organisation in order to ensure compliance and facilitate trade. The programme enhances trade by offering dedicated support through CRM teams, streamlining business operations, and ensuring the swift release of goods.
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 |