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: 22 Oct 2026 01:37 UTC — 22 Oct 2026 04:49 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 13 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 38 | 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): 2026-10-22T01:37:01.251043+00:00 — 2026-10-22T04:49:35.589941+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 | 6 | 3 | 3/3 |
| 2023 | All selected publications | 15 | 3 | 3/3 |
| 2024 | All selected publications | 7 | 3 | 3/3 |
| 2025 | All selected publications | 8 | 3 | 3/3 |
| 2026 | All selected publications | 2 | 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 |
|---|---|
| 2021 | 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 Research in Business and Social Science SSBFNET | 3 | 13 | 38 | 3/3 | 4.33 | 4 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This paper examines the effect of tax avoidance, bonus mechanism, debt covenant, tunneling incentive, audit quality, multinationality, foreign ownership, and company size on transfer pricing. This research population is all manufacturing companies that list at Indonesia Stock Exchange on the period of 2016-2018 but the collected data are on a period of 2015-2019. The sampling technique uses a purposive method to obtain 275 samples in the observation period of 2016-2018. The method of this research involves descriptive statistic test, classical assumption test, and hypothesis test. A regression test is used for testing the hypotheses. The result of the research shows that tax avoidance, debt covenant, and company size have a significant effect on transfer pricing decision. The factors are multinationality, foreign ownership and audit quality also have a significant effect on transfer pricing decisions. Meanwhile, bonus mechanism and tunneling incentives do not significantly affect transfer pricing decisions. Conclusions from this research is a lot of factors involved in the transfer pricing decision. One from inside the company and the others from an outside company. Transfer pricing is a tool to achieve certain goals. The purpose of transfer pricing can be categorized as internal goals and external goals. The manufacturing companies when deciding about transfer pricing must be careful because there are two perceptive about transfer pricing. One perceptive from a business that transfer pricing is something useful because a company can save money related tax but the other perceptive from the government side, transfer pricing has believed to be able to have reduced or even disappearing potential for a country’s tax revenue.
This study aims to examine does independence of the Board of Commissioner (BOC) is still relevant as a corporate governance mechanism regarding monitoring managers’ activity, such as aggressive in financial reporting and tax avoidance during financial distress condition. The focus of this study is listed companies on the Indonesia Stock Exchange (IDX), particularly on Mining and Consumer Good Industry sector for period 2016 until 2018. Using multiple linear regression analysis, this study documents that Independency of board commissioner has significant effect on manager’s activity in avoiding tax, however this study failed to document that independency moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance. In addition, this study find that financial distress and financial re-porting aggressiveness positively affect tax avoidance. This study contributes on two ways, first, it adds empirical evidence regarding the relevancy of board of commissioner’s independency as a measure of corporate governance mechanism to monitor managers’ activities in avoiding tax. Second, it also adds evidence that independence is unable to moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance activities performed by managers. In brief, this study implies that the independence of BoC, solely as a measure of corporate governance mechanism is less relevant in a current situation especially when the company facing financial distress conditions and managers’ aggressiveness in financial reporting. Managers should more pay attention to the discretion of tax avoidance activities particularly when facing financial distress condition. The results also imply that regulatory bodies, for instance, Stock Exchange Supervisory Board under the Indonesian Financial Services Authority should reconsider or reformation the concept of independence of Board Commissioners.
This study aims to analyze the effect of executive characteristics and family ownership as a stimulus factor for tax avoidance and to see the existence of a political relationship as a moderating variable in the effect of executive characteristics and family ownership on tax avoidance. This research was conducted on manufacturing companies listed on the Indonesia Stock Exchange during 2017-2019. In this study, the sample was determined based on the purposive sampling technique with the criteria that the sample company was manufacture listed on the IDX for three consecutive years from 2017-2019, published an annual report in the 2017-2019 period sequentially, did not experience delisting, was not a company the IPO in 2018-2019, did not experience any losses and did not have an ETR value of more than 1. The research sample was obtained from as many as 138 companies with 3 years of observation. This study uses multiple linear regression analysis (Multiple Regression Analysis) and Moderate Regression Analysis (MRA) using the Statistical Product and Service Solution (SPSS) program. The results showed (I) executive characteristics had a significant positive effect on tax avoidance (II) family ownership had a significant negative effect on tax avoidance (III) political connections were not able to strengthen the executive's positive influence on tax avoidance (IV) political connections weakened family ownership on tax avoidance. This study can also show that the sample companies tend to comply with tax rules, they avoid sanctions and fines, and consider the risk of loss that must be faced by the company when proven to do tax avoidance.
This study aims to examine does independence of the Board of Commissioner (BOC) is still relevant as a corporate governance mechanism regarding monitoring managers’ activity, such as aggressive in financial reporting and tax avoidance during financial distress condition. The focus of this study is listed companies on the Indonesia Stock Exchange (IDX), particularly on Mining and Consumer Good Industry sector for period 2016 until 2018. Using multiple linear regression analysis, this study documents that Independency of board commissioner has significant effect on manager’s activity in avoiding tax, however this study failed to document that independency moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance. In addition, this study find that financial distress and financial re-porting aggressiveness positively affect tax avoidance. This study contributes on two ways, first, it adds empirical evidence regarding the relevancy of board of commissioner’s independency as a measure of corporate governance mechanism to monitor managers’ activities in avoiding tax. Second, it also adds evidence that independence is unable to moderates the effect of financial distress and financial reporting aggressiveness on tax avoidance activities performed by managers. In brief, this study implies that the independence of BoC, solely as a measure of corporate governance mechanism is less relevant in a current situation especially when the company facing financial distress conditions and managers’ aggressiveness in financial reporting. Managers should more pay attention to the discretion of tax avoidance activities particularly when facing financial distress condition. The results also imply that regulatory bodies, for instance, Stock Exchange Supervisory Board under the Indonesian Financial Services Authority should reconsider or reformation the concept of independence of Board Commissioners.
This study aims to analyze the effect of executive characteristics and family ownership as a stimulus factor for tax avoidance and to see the existence of a political relationship as a moderating variable in the effect of executive characteristics and family ownership on tax avoidance. This research was conducted on manufacturing companies listed on the Indonesia Stock Exchange during 2017-2019. In this study, the sample was determined based on the purposive sampling technique with the criteria that the sample company was manufacture listed on the IDX for three consecutive years from 2017-2019, published an annual report in the 2017-2019 period sequentially, did not experience delisting, was not a company the IPO in 2018-2019, did not experience any losses and did not have an ETR value of more than 1. The research sample was obtained from as many as 138 companies with 3 years of observation. This study uses multiple linear regression analysis (Multiple Regression Analysis) and Moderate Regression Analysis (MRA) using the Statistical Product and Service Solution (SPSS) program. The results showed (I) executive characteristics had a significant positive effect on tax avoidance (II) family ownership had a significant negative effect on tax avoidance (III) political connections were not able to strengthen the executive's positive influence on tax avoidance (IV) political connections weakened family ownership on tax avoidance. This study can also show that the sample companies tend to comply with tax rules, they avoid sanctions and fines, and consider the risk of loss that must be faced by the company when proven to do tax avoidance.
This paper examines the effect of tax avoidance, bonus mechanism, debt covenant, tunneling incentive, audit quality, multinationality, foreign ownership, and company size on transfer pricing. This research population is all manufacturing companies that list at Indonesia Stock Exchange on the period of 2016-2018 but the collected data are on a period of 2015-2019. The sampling technique uses a purposive method to obtain 275 samples in the observation period of 2016-2018. The method of this research involves descriptive statistic test, classical assumption test, and hypothesis test. A regression test is used for testing the hypotheses. The result of the research shows that tax avoidance, debt covenant, and company size have a significant effect on transfer pricing decision. The factors are multinationality, foreign ownership and audit quality also have a significant effect on transfer pricing decisions. Meanwhile, bonus mechanism and tunneling incentives do not significantly affect transfer pricing decisions. Conclusions from this research is a lot of factors involved in the transfer pricing decision. One from inside the company and the others from an outside company. Transfer pricing is a tool to achieve certain goals. The purpose of transfer pricing can be categorized as internal goals and external goals. The manufacturing companies when deciding about transfer pricing must be careful because there are two perceptive about transfer pricing. One perceptive from a business that transfer pricing is something useful because a company can save money related tax but the other perceptive from the government side, transfer pricing has believed to be able to have reduced or even disappearing potential for a country’s tax revenue.
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 |