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.
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2024 · Rizka Ramayanti
2024 · Fahmi Mayasari · Budiyanto · Nur Fadjrih Asyik
2024 · Sakina Ichsani · Leni Nur Pratiwi · Denny Saputera
2024 · Herry Achmad Buchory
2024 · Triyonowati Triyonowati · Rika Rahayu
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: 8 / 8 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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: 27 Oct 2026 17:29 UTC — 29 Oct 2026 17:50 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 | 8 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 11 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 12 | 8 | 8/8 | 8/8 |
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 8 / 8 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): 2026-10-27T17:29:17.363471+00:00 — 2026-10-29T17:50:27.153708+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 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 0 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 0 | 8 | 8/8 |
| 2022 | All selected publications | 0 | 8 | 8/8 |
| 2023 | All selected publications | 0 | 8 | 8/8 |
| 2024 | All selected publications | 1 | 8 | 8/8 |
| 2025 | All selected publications | 4 | 8 | 8/8 |
| 2026 | All selected publications | 7 | 8 | 8/8 |
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 | 8 |
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 Finance & Banking Studies SSBFNET | 8 | 11 | 12 | 8/8 | 1.38 | 1.0 | 62.5 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.
This study aims to resolve the inconsistencies in prior research regarding the effects of capital structure, firm size, and good corporate governance (GCG) on company value. Additionally, it investigates the moderating role of corporate social responsibility (CSR) in the relationship between financial performance and company value, offering new insights into this dynamic interaction. This study utilizes a saturated sample or census approach, including all population members, due to the small population size and the researcher's ability to access the required data. Data from 71 manufacturing companies listed on the Indonesia Stock Exchange (IDX) between 2018 and 2022 were obtained from their financial statements and annual reports. A quantitative analysis was conducted using Partial Least Square (PLS) regression with the SmartPLS 4.0 software. The results indicate that capital structure, company size, and GCG significantly impact financial performance. Additionally, capital structure was found to significantly affect company value, while company size and GCG did not. Financial performance significantly influenced company value, but CSR did not directly affect company value and did not moderate the relationship between financial performance and company value.
One of the Indonesian government's policies since 2015 has been to increase development through its developed infrastructure, by increasing its budget for this sector from year to year. However, companies listed in the engineering and construction subsector on the Indonesian Stock Exchange, both state-owned enterprises and private companies, experienced losses so it could be said that their financial performance was poor. This study intends to evaluate the financial performance engineering and construction sub-sector companies using the Economic Value Added (EVA), Market Value Added (MVA), Refined Economic Value Added (REVA), Financial Value Added (FVA), and Shareholder Value Added (SVA) in 2018 – 2023 and determine their influence on stock prices. This type of research is quantitative descriptive research using E-Views 12 with a population 26 companies and a sample size 16 companies. Based on the results the calculations and analysis, it stated that EVA, MVA, REVA, FVA, SVA and stock prices engineering and construction companies, both state-owned and private, during the 2018 - 2023 period obtained an average of negative amounts. The research results show that the financial performance variables using value added have an influence on stock prices with influence of 74.57% while the rest is influenced by other variables not examined in this research. Partially only MVA and SVA have an influence on stock prices because based on the probability test using E-Views 12 it appears that only MVA and SVA produce results below the alpha. The suggestion for this research is that company management should pay attention to the company's financial performance, especially the MVA and SVA variables and further researcher can make comparative research between all value-added variables.
The research was conducted to see how cost of funds (COC), and non-performing loans (NPL) on profitability is measured by return on assets (ROA). The research method used is descriptive and verification methods. Secondary data is sourced from Regional Development Banks of West Java and Banten Provinces in Indonesia quarterly financial reports for 2014 – 2022, while the data analysis technique uses multiple linear regression analysis. The results of the research are that COF and NPL has a negative and significant effect on ROA. Simultaneously, COF and NPL have a significant effect on ROA. The results of this research are useful for bank management in determining funding strategies with low cost of funds, and credit management strategies so that non-performing remains healthy.
Changes in individual activities lead to changes in behavior. In particular, adolescents experience changes in learning and teaching activities, resulting in a gap between the amount of time available and the lack of activities that adolescents can do. It becomes a momentum for adolescents to create new activities, one of which is investing in the capital market. The relationship between emotional intelligence and adolescents’ intention to become investors, as well as the moderating effect of financial literacy in the relationship. These values indicate that the model is suitable enough to explain about 42.8%-52.6% of changes in the relationships tested. Emotional intelligence has a positive effect on adolescents’ intention to become investors, and financial literacy is able to strengthen this influence. This study contributes to a greater understanding of the importance of emotional intelligence and financial literacy when adolescents have the intention to become investors, especially when capital market uncertainty increases. As capital market uncertainty increases, adolescents should be able to assimilate emotional intelligence with their financial literacy to obtain greater returns. It may encourage adolescents to keep choosing their career as an investor. These results have significant theoretical contributions and provide recommendations for industry and policymaker. This can encourage teens to still choose their careers as investors. These results have significant theoretical contributions and provide recommendations for industry and policymakers.
In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.
This study aims to resolve the inconsistencies in prior research regarding the effects of capital structure, firm size, and good corporate governance (GCG) on company value. Additionally, it investigates the moderating role of corporate social responsibility (CSR) in the relationship between financial performance and company value, offering new insights into this dynamic interaction. This study utilizes a saturated sample or census approach, including all population members, due to the small population size and the researcher's ability to access the required data. Data from 71 manufacturing companies listed on the Indonesia Stock Exchange (IDX) between 2018 and 2022 were obtained from their financial statements and annual reports. A quantitative analysis was conducted using Partial Least Square (PLS) regression with the SmartPLS 4.0 software. The results indicate that capital structure, company size, and GCG significantly impact financial performance. Additionally, capital structure was found to significantly affect company value, while company size and GCG did not. Financial performance significantly influenced company value, but CSR did not directly affect company value and did not moderate the relationship between financial performance and company value.
This research aims to determine the influence of firm size, profitability, leverage, and board size on Islamic social responsibility. The population in this research are companies listed on the Indonesian Stock Exchange in 2020–2022. In this research, we will see the simultaneous and partial influence and the dominant variables using data analysis tools in the form of multiple linear regression, coefficient of determination, hypothesis testing using the F test and t-test, and the classical assumption test. Based on the research results, it can be concluded as follows: Simultaneously, firm size, profitability, leverage, and board size influence Islamic social responsibility. Partially, it can be seen that not all variables have a significant effect on Islamic social responsibility. Firm size and leverage influence Islamic social responsibility, while profitability and board size have no influence.
The purpose of this article is to assess the impact of female board representation on financial performance in Southeast Asia. To compare the presence of women, three proxies are used: the percentage of women, the Blau Index, and the Shannon Index. The samples for five-year intervals (2017-2021) include 249 Southeast Asian enterprises and 1,245 observations. The Fixed Effect Model results show that, based on all three proxies, women's board participation leads to lower financial performance, which contradicts the Agency and Resource Dependence Theories. This document serves as a resource for regulators and stakeholders in developing effective and proper corporate governance, particularly in board compositions that need a proportion of women in Southeast Asia. The conclusions of this study may be impacted.
The research was conducted to see how cost of funds (COC), and non-performing loans (NPL) on profitability is measured by return on assets (ROA). The research method used is descriptive and verification methods. Secondary data is sourced from Regional Development Banks of West Java and Banten Provinces in Indonesia quarterly financial reports for 2014 – 2022, while the data analysis technique uses multiple linear regression analysis. The results of the research are that COF and NPL has a negative and significant effect on ROA. Simultaneously, COF and NPL have a significant effect on ROA. The results of this research are useful for bank management in determining funding strategies with low cost of funds, and credit management strategies so that non-performing remains healthy.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |