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: 5 / 5 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 — 23 Oct 2026 01:19 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 11 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 15 | 5 | 5/5 | 5/5 |
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 5 / 5 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): 2026-10-21T07:22:53.429420+00:00 — 2026-10-23T01:19:15.540847+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 4 | 5 | 5/5 |
| 2025 | All selected publications | 7 | 5 | 5/5 |
| 2026 | All selected publications | 4 | 5 | 5/5 |
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 |
|---|---|
| 2024 | 5 |
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 | 5 | 11 | 15 | 5/5 | 2.2 | 2 | 80.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
This research aims to analyze the impact of green credit distribution by banks on bank performance and identify factors that can influence green credit. The study utilizes data from 46 banks in Indonesia during the 2018-2022 period, by using the panel data regression method. The findings indicate (i) that green credit does not have a significant influence on credit risk, as measured by the NPL (Non-performing Loan). The distribution of more green credit allocations does not result in a decrease in bank credit risk. Additionally, sustainable business borrowers do not exhibit better debt repayment performance compared to the non-sustainable business category. (ii) In terms of bank profitability, green credit does not impact ROE (Return on Equity) and NIM (Net Interest Margin), but it does have a negative effect on ROA (Return on Assets). Banks that allocate a significant portion of their credit distribution to green initiatives tend to experience a decline in their profits. (iii) Bank size has a positive impact on the allocation of green credit, with larger banks dedicating a greater portion to the distribution of green credit. Larger banks possess more capital and extensive networks, making them better equipped to address potential risks compared to smaller banks. (iv) Meanwhile, government ownership and good corporate governance in banks do not influence the proportion of green credit distribution. The author recommends that the government make corrections to existing green financing programs, to cultivate a green credit ecosystem in Indonesia. One concrete step that can be taken is to support government-owned banks in becoming pioneers in the distribution of green credit in Indonesia.
This study aims to investigate and identify the current conditions regarding the role of Sharia microfinance institutions in developing MSME businesses. The community needs Microfinance institutions, especially low-income groups and small and micro-entrepreneurs who have yet to be reached by banking financial services, especially public banks. In providing loans to MSMEs, microfinance institutions must effectively educate and equip their clients with relevant entrepreneurial knowledge and skills. This research will use a qualitative approach with a case study method, which does not use statistical generalizations but uses logical generalizations and replication. Three Sharia microfinance institutions and sixteen MSME cases will be selected in this research. The research was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Gunungkidul, and Kulonprogo. This research will use three data collection methods, namely interviews, observation, and documentation, to maintain the validity and reliability of the data. Data triangulation is used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and case analysis. The findings of this research show hope regarding the promise of easy access to capital or funding sources as an effective tool for improving MSME business development through effectiveness, supervision, and guidance carried out by Sharia microfinance institutions. This change can be realized if the community has economic stability obtained through easy access to capital, increasing business income, and empowering the community to be ready to become entrepreneurs. It supports the development of a creative economy industry based on entrepreneurship and globally competitive ethics.
The implementation of Financial Accounting Standards for Micro, Small, and Medium Enterprises is very important as a basis for presenting reliable financial statements to gain public trust because the financial statements are written based on applicable accounting standards. The research population consisted of MSME players in Indonesia. The sample in this study was selected using purposive sampling technique. The research hypothesis was tested using SmartPLS 3.0 software with the Structural Equation Modeling Partial Least Squares (SEM-PLS) method. The results of the research showed that the use of information technology (IT), level of education, socialization of financial accounting standards for Micro, Small, and Medium Entity (SAK EMKM) and business age had no effect on the implementation of SAM EMKM, while accounting knowledge, the level of readiness of market participants, and taxpayer compliance were proven to have a positive effect on the implementation of SAK EMKM.
This study intends to examine the influence of ownership structure and political connections on tax avoidance using the Book Tax Differences (BTD) method. The data used is industrial entities registered on the IDX for the 2018-2022 period. By utilizing the proportional sampling method, the study sample that fulfilled the criteria was only 40 companies so 200 observational data were obtained which were used as the study sample. Panel data regression analysis is the chosen analytical method in this research which includes the Chow test, Hausman test, and hypothesis testing using Eviews as a data analytics tool. The test results imply that (i) government ownership negatively impacts tax avoidance, (ii) institutional ownership positively impacts tax avoidance, (iii) family ownership positively impacts tax avoidance, (iv) foreign ownership shows a non-significant positive impact on tax avoidance, and (v) political connections exhibit a non-significant negative impact on tax avoidance.
This paper aims to examine the effects of bank mergers and corporate governance to maqashid sharia performance. This study also aims to examine the effect of corporate governance as a moderating variable. In this study, the measurement of variables using Integrated Maqashid Sharia Performance Measurement (IMSPM) which includes dimensions consisting of faith (din), self (nafs), intellect ('aql), posterity (nasl), and wealth (mal). Data processing was carried out using SPSS Statistics 29 with the source data of bank financial statements before and after the merger. The data includes the financial statements of BNI Syariah, BRI Syariah, Bank Mandiri Syariah 2015 – 2020 and also Bank BSI 2021 – 2023. The results showed that bank mergers have a positive effect on maqashid sharia performance. However, the corporate governance variable consisting of the independence and remuneration of the Sharia Supervisory Board (SSB) shows that the independence of SSB has no effect on the maqashid sharia performance and remuneration SSB has a negative effect. Independence of SSB has no effect to maqashid sharia performance because SSB who are not independent or hold concurrent positions will have more experience due to their role in other Islamic institutions and banks. In addition, SSB remuneration has a negative effect because when viewed from the operational side, the high remuneration received by SSB will actually increase the burden on banks so that it has an impact on their maqashid sharia performance. Nevertheless, corporate governance variables both independence and remuneration of SSB can strengthen the effect of mergers on maqashid sharia performance.
This paper aims to examine the effects of bank mergers and corporate governance to maqashid sharia performance. This study also aims to examine the effect of corporate governance as a moderating variable. In this study, the measurement of variables using Integrated Maqashid Sharia Performance Measurement (IMSPM) which includes dimensions consisting of faith (din), self (nafs), intellect ('aql), posterity (nasl), and wealth (mal). Data processing was carried out using SPSS Statistics 29 with the source data of bank financial statements before and after the merger. The data includes the financial statements of BNI Syariah, BRI Syariah, Bank Mandiri Syariah 2015 – 2020 and also Bank BSI 2021 – 2023. The results showed that bank mergers have a positive effect on maqashid sharia performance. However, the corporate governance variable consisting of the independence and remuneration of the Sharia Supervisory Board (SSB) shows that the independence of SSB has no effect on the maqashid sharia performance and remuneration SSB has a negative effect. Independence of SSB has no effect to maqashid sharia performance because SSB who are not independent or hold concurrent positions will have more experience due to their role in other Islamic institutions and banks. In addition, SSB remuneration has a negative effect because when viewed from the operational side, the high remuneration received by SSB will actually increase the burden on banks so that it has an impact on their maqashid sharia performance. Nevertheless, corporate governance variables both independence and remuneration of SSB can strengthen the effect of mergers on maqashid sharia performance.
The implementation of Financial Accounting Standards for Micro, Small, and Medium Enterprises is very important as a basis for presenting reliable financial statements to gain public trust because the financial statements are written based on applicable accounting standards. The research population consisted of MSME players in Indonesia. The sample in this study was selected using purposive sampling technique. The research hypothesis was tested using SmartPLS 3.0 software with the Structural Equation Modeling Partial Least Squares (SEM-PLS) method. The results of the research showed that the use of information technology (IT), level of education, socialization of financial accounting standards for Micro, Small, and Medium Entity (SAK EMKM) and business age had no effect on the implementation of SAM EMKM, while accounting knowledge, the level of readiness of market participants, and taxpayer compliance were proven to have a positive effect on the implementation of SAK EMKM.
This study intends to examine the influence of ownership structure and political connections on tax avoidance using the Book Tax Differences (BTD) method. The data used is industrial entities registered on the IDX for the 2018-2022 period. By utilizing the proportional sampling method, the study sample that fulfilled the criteria was only 40 companies so 200 observational data were obtained which were used as the study sample. Panel data regression analysis is the chosen analytical method in this research which includes the Chow test, Hausman test, and hypothesis testing using Eviews as a data analytics tool. The test results imply that (i) government ownership negatively impacts tax avoidance, (ii) institutional ownership positively impacts tax avoidance, (iii) family ownership positively impacts tax avoidance, (iv) foreign ownership shows a non-significant positive impact on tax avoidance, and (v) political connections exhibit a non-significant negative impact on tax avoidance.
This research aims to analyze the impact of green credit distribution by banks on bank performance and identify factors that can influence green credit. The study utilizes data from 46 banks in Indonesia during the 2018-2022 period, by using the panel data regression method. The findings indicate (i) that green credit does not have a significant influence on credit risk, as measured by the NPL (Non-performing Loan). The distribution of more green credit allocations does not result in a decrease in bank credit risk. Additionally, sustainable business borrowers do not exhibit better debt repayment performance compared to the non-sustainable business category. (ii) In terms of bank profitability, green credit does not impact ROE (Return on Equity) and NIM (Net Interest Margin), but it does have a negative effect on ROA (Return on Assets). Banks that allocate a significant portion of their credit distribution to green initiatives tend to experience a decline in their profits. (iii) Bank size has a positive impact on the allocation of green credit, with larger banks dedicating a greater portion to the distribution of green credit. Larger banks possess more capital and extensive networks, making them better equipped to address potential risks compared to smaller banks. (iv) Meanwhile, government ownership and good corporate governance in banks do not influence the proportion of green credit distribution. The author recommends that the government make corrections to existing green financing programs, to cultivate a green credit ecosystem in Indonesia. One concrete step that can be taken is to support government-owned banks in becoming pioneers in the distribution of green credit in Indonesia.
This study aims to investigate and identify the current conditions regarding the role of Sharia microfinance institutions in developing MSME businesses. The community needs Microfinance institutions, especially low-income groups and small and micro-entrepreneurs who have yet to be reached by banking financial services, especially public banks. In providing loans to MSMEs, microfinance institutions must effectively educate and equip their clients with relevant entrepreneurial knowledge and skills. This research will use a qualitative approach with a case study method, which does not use statistical generalizations but uses logical generalizations and replication. Three Sharia microfinance institutions and sixteen MSME cases will be selected in this research. The research was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Gunungkidul, and Kulonprogo. This research will use three data collection methods, namely interviews, observation, and documentation, to maintain the validity and reliability of the data. Data triangulation is used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and case analysis. The findings of this research show hope regarding the promise of easy access to capital or funding sources as an effective tool for improving MSME business development through effectiveness, supervision, and guidance carried out by Sharia microfinance institutions. This change can be realized if the community has economic stability obtained through easy access to capital, increasing business income, and empowering the community to be ready to become entrepreneurs. It supports the development of a creative economy industry based on entrepreneurship and globally competitive ethics.
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 |