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: 27 / 27 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 00:01 UTC — 21 Oct 2026 07:23 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.
24 / 27 with data · 3 missing or unmatched. Percentages use all 27 selected publications.
24 / 27 with data · 3 missing or unmatched. Percentages use all 27 selected publications.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 28 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 10 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 12 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 2 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2026 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 79 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 21 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 3 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 7 | 8 | 8/8 | 8/8 |
| 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 27 / 27 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): 2026-10-21T00:01:59.960686+00:00 — 2026-10-21T07:23:06.689509+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 | 27 | 27/27 |
| 2018 | All selected publications | 0 | 27 | 27/27 |
| 2019 | All selected publications | 0 | 27 | 27/27 |
| 2020 | All selected publications | 2 | 27 | 27/27 |
| 2021 | All selected publications | 1 | 27 | 27/27 |
| 2022 | All selected publications | 23 | 27 | 27/27 |
| 2023 | All selected publications | 38 | 27 | 27/27 |
| 2024 | All selected publications | 27 | 27 | 27/27 |
| 2025 | All selected publications | 18 | 27 | 27/27 |
| 2026 | All selected publications | 18 | 27 | 27/27 |
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 |
|---|---|
| 2019 | 1 |
| 2020 | 4 |
| 2021 | 2 |
| 2022 | 3 |
| 2023 | 4 |
| 2024 | 2 |
| 2025 | 8 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 5 | 5 | 1/1 | 5.0 | 5 | 100.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 3 | 2 | 3 | 3/3 | 0.67 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 2 | 3 | 6 | 2/2 | 1.5 | 1.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 21 | 51 | 113 | 21/21 | 2.43 | 1 | 57.1 | 21/21 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to empirically examine the impact of tax penalties, tax audits, and taxpayers’ awareness of corporate taxpayer compliance and the role of compliant intentions as the moderating variable in its correlation. The analytical method used is the Multiple Linear Regression (Multiple Regression Analysis) and the Moderated Regression Analysis (MRA). The population of this study is the corporate taxpayers in North Banjarmasin Tax Office in 2019 with a sample of 142 corporate rate taxpayers. The sampling method used is convenience sampling. The results show that tax penalties, tax audits, and taxpayers’ awareness positively affect corporate taxpayer compliance. However, the compliant intention is unable to moderate the effect of fines, tax audits, and taxpayers’ awareness toward corporate taxpayer compliance. This is due to the applied penalties and tax audits following the taxation laws and the corporate taxpayer’s awareness of the importance of taxation as the source of state income. The purposes of this research are to provide inputs and references for the tax authorities and taxpayers, to examine further about tax penalties and tax audits that have been implemented, and to raise awareness among taxpayers for complying with taxes. Then, this research is influenced by external factors and internal factors, namely penalty sanctions, tax audits, and awareness of taxpayers who make taxpayers compliant with taxes, so that the presence or absence of intentions will continue to make taxpayers obedient to taxes.
The level of taxpayer compliance has decreased during the COVID-19 pandemic. The Regional Revenue Management Agency recorded that as many as 1.6 million motorized vehicles were in arrears in taxes as of September 2020. This study aims to empirically examine the effect of the tax whitening program, taxpayer awareness, and tax knowledge on taxpayer compliance with tax socialization as a moderating variable in the correlation. The questionnaire uses a Likert scale with 100 motor vehicle taxpayers domiciled in the Cilacap, Banyumas, Purbalingga, Banjarnegara, and Kebumen areas. The research sample was taken using the non-probability sampling technique. The questionnaire data was then processed using Partial Least Square (PLS) analysis by testing the outer and inner models. The results show that tax whitening, taxpayer awareness, and tax knowledge directly impact taxpayer compliance. However, tax socialization does not affect taxpayer compliance. Tax socialization cannot moderate the factors that support taxpayer compliance and does not directly affect taxpayer compliance. This study explains that tax whitening can be used as a solution to improve vehicle tax compliance. Meanwhile, tax awareness and tax knowledge which are internal factors, reflect that taxpayers have good knowledge to be aware of their obligations to pay taxes and comply with existing tax regulations. Tax socialization cannot moderate the factors that support taxpayer compliance and does not directly affect taxpayer compliance. These conditions indicate the government's lack of effort in providing tax information and knowledge to the public. Activities to disseminate information, tax knowledge, and tax education to the public must be carried out intensely and continuously to increase taxpayer compliance.
Domestic revenue mobilisation is fundamental if African countries are to fund investments in health, education, infrastructural development, economic growth, human capital development, security, and prosperity to attain the Sustainable Development Goals by 2030. Some goals focus on eradicating poverty, reducing inequalities, strengthening institutions, and providing decent work. This requires resources and investment, yet Sub-Saharan African countries continuously struggle to mobilise enough revenue to meet basic government objectives. Through a critical literature review, this paper focuses on sustainable tax revenue mobilisation in Sub-Saharan African Countries, discussing the challenges, opportunities, and prospects for possible amelioration of tax systems. Challenges identified to explain the ineffectiveness of revenue mobilisation in these countries include the presence of a significant informal sector, weak tax administration capacities, the growth in the digital economy, corruption, governance quality, and increased tax avoidance and evasion by multinational companies. Possible prospects include taxation of the digital economy, taxing the informal sector, the capacitation of tax authorities, and the broadening of tax bases.
This study aims to empirically examine the effect of tax fairness and tax knowledge on tax compliance for Micro, Small and Medium Enterprises (MSMEs). Azmi and Perumal (2008) identified five of tax fairness dimensions: general fairness, exchanges with the government, special provisions, tax rates structure, and self-interest. Tax knowledge related to tax calculation, tax payment, and tax reporting. This study used a survey method by distributing the questionnaire. The sample used was Micro, Small and Medium Enterprises (MSMEs) in Malang city through the cluster random sampling method. The data obtained were 107 respondents who were processed with the help of SPSS 24. Two regression analyses used in this study are multiple linear regression analysis and simple linear regression analysis. The results of the study using multiple linear regression analysis showed that the three dimensions of tax fairness that affect MSMEs compliance are general fairness, tax rates structure, and self-interest. The results from the simple linear regression analysis show that tax knowledge influences MSMEs' compliance.
This paper examined the mediating role of trust in government on the influence of public governance quality indicators (accountability, political stability, government effectiveness, regulatory quality, rule of law, and control of corruption) on tax compliance in Africa. Cross-country data obtained from 38 African countries for 2015 was used and analyzed using Ordinary Least Squares (OLS) regression analysis. The study found that accountability, political stability, control of corruption, and trust have a significant influence on tax compliance among the sampled African countries, but government effectiveness, regulatory quality, and the rule of law and have insignificant influence on tax compliance. The result of the mediating effects revealed that trust mediates the influence of accountability and political stability on tax compliance in Africa. However, it failed to mediate the influence of government effectiveness, regulatory quality, rule of law, and control of corruption on tax compliance among sample African countries. The study offers theoretical insights on the role of trust as a mediator on social exchange relationships from the context of public governance quality on tax compliance. It also implies to the policymakers that building trust is an important mechanism through which the impact of public governance on tax compliance would be more pronounced. The study further calls for replication of its findings in other continents such as the Americas, Asia, and Europe.
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.
This study examined the moderating effect of tax sanctions on the relationships between tax reform factors (knowledge in tax laws, tax rights, tax business income) and tax compliance among SMEs in Ghana. The study adopted quantitative research design. Stratified random sampling technique was deployed in the selection of two hundred and fifty-two (252) SMEs in Accra. Data collection was done using questionnaires and analyzed using Partial Least Squares Structural Equation Modelling. The study found that significant positive relationships exist between tax business income factors (knowledge in tax laws, tax rights, tax business income) and tax compliance among SMEs in Ghana. The study also found that tax sanctions negatively moderate the relationship between knowledge in tax laws and tax compliance as well as tax business income and tax compliance. Tax sanction was found to positively moderate the relationship between knowledge in tax rights and tax compliance among SMEs. The study recommended the need for continuous tax education by tax authorities to enhance tax knowledge among SMEs, which has positive implications on tax compliance. The study further recommended that, rather than relying solely on tax sanctions, the Ghana Revenue Authority (GRA) should explore positive reinforcement mechanisms to encourage voluntary compliance. Offering tax rebates for timely compliance, such as discounts for businesses that consistently meet their tax obligations, can serve as an incentive. Finally, improving perceptions of tax fairness by clearly communicating how tax revenues benefit businesses and society may further enhance tax compliance among SMEs.
This research aims to examine empirical the effect of tax knowledge, tax rates, tax discrimination, tax fairness, tax sanction, information technology, and religiosity on tax evasion both partially and simultaneously. The benefits of this research are expected to provide insight into understanding of the factors that influence tax evasion. The population in this study were individual taxpayers in Indonesia. The number of samples in this study amounted to 400 respondents. The sampling techniques used is convenience random sampling method. Data collection using questionnaires and processed using SPSS 26.0 statistics. The data analysis method used in this research is multiple linear regression. he results indicate that tax knowledge, tax rates, tax discrimination, tax fairness, and tax sanctions do not have a positive and significant effect on tax evasion. Religiosity, on the other hand, has a negative and significant effect on tax evasion. Only information technology shows a positive and significant effect on reducing tax evasion.This suggests that information technology is the only factor that can effectively reduce tax evasion committed by taxpayers in Indonesia.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |