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 OpenAlex lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2022 · Eka Safitri Apriliani Isa Isa · Muafi Muafi
2022 · Guizhou Wang · Kjell Hausken
2022 · Moermahadi Soerja Djanegara · Sutarti Sutarti · Setio Anggoro Dewo
2022 · Rizal Ahmad Fauzi · Noer Azam Achsani · Trias Andati
2022 · Nela Safelia · Aulia Beatrice Brilliant · Afrizal
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: 41 / 41 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: 22 Oct 2026 01:11 UTC — 28 Oct 2026 21:39 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.
40 / 41 with data · 1 missing or unmatched. Percentages use all 41 selected publications.
40 / 41 with data · 1 missing or unmatched. Percentages use all 41 selected publications.
41 / 41 with data · 0 missing or unmatched. Percentages use all 41 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 41 | 41 | 41/41 | 41/41 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 52 | 41 | 41/41 | 41/41 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 111 | 41 | 41/41 | 41/41 |
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 41 / 41 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): 2026-10-22T01:11:32.153518+00:00 — 2026-10-28T21:39:18.102120+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 | 41 | 41/41 |
| 2018 | All selected publications | 0 | 41 | 41/41 |
| 2019 | All selected publications | 0 | 41 | 41/41 |
| 2020 | All selected publications | 0 | 41 | 41/41 |
| 2021 | All selected publications | 0 | 41 | 41/41 |
| 2022 | All selected publications | 19 | 41 | 41/41 |
| 2023 | All selected publications | 26 | 41 | 41/41 |
| 2024 | All selected publications | 32 | 41 | 41/41 |
| 2025 | All selected publications | 26 | 41 | 41/41 |
| 2026 | All selected publications | 8 | 41 | 41/41 |
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 |
|---|---|
| 2022 | 41 |
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 | 41 | 52 | 111 | 41/41 | 1.27 | 0 | 46.3 | 41/41 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to analyze the effects of human capital and organizational learning on employee performance with innovation behavior as a mediator. This study is conducted at a privately owned bank in Gorontalo City with a sample of 92 respondents. Researchers use purposive sampling with data collection technique that is questionnaires in Google Form. Data analysis is performed using SEM-PLS (Structural Equation Modeling Partial Least Square) with SmartPLS software version 3.0. The results of this study indicate that (1) human capital has positive effect on employee performance and innovation behavior, (2) organizational learning has positive effect on innovation behavior, (3) innovation behavior has positive effect on employee performance, and (4) innovation behavior mediates the effect of organizational learning on employee performance but cannot mediate human capital on employee performance.
This study analyzes the effect of capital structure on the performance of telecommunications firms. The firm performance is measured by return on assets while capital structure is proxied with the ratio of debt total assets. Data of telecommunication firm in 62 countries period of year 2010-2020 proceed with a dynamic data panel regression model using the generalized method of moment approach. The empirical results indicated that capital structure of telecommunication firm has significantly impact to the firm performance in developed and developing countries as well as in integrated and wireless telecommunication firms. The other factors that effect on firm performance are firm size and growth. The novelty of this study lies in the scope of analyses that cover world-wide telecommunication industry based on demographic group (developed and developing countries) and main businesses (integrated and wireless telecommunication).
Central bank digital currencies (CBDCs) give rise to many possibilities including those of negative interest rates. A two-period decision model is presented between one central bank and one representative household. The central bank applies the Taylor (1993) rule to choose its interest rate. The household allocates its resources strategically to production, consumption, CBDC holding, and non-CBDC holding. The results are determined analytically and illustrated numerically by varying 19 parameter values. Interesting novelties of the article are that the central bank may choose negative CBDC interest rates when the household holds far more CBDC than non-CBDC, for low inflation rates, low real interest rates, low household’s potential production, low weight assigned to inflation in the Taylor (1993) rule, high target inflation rate, and high household’s production parameter. That usually causes the household to decrease its CBDC holding and increase its non-CBDC holding, production and consumption. The central bank may increase its CBDC interest rate to compete with an increasing non-CBDC interest rate if the household’s transaction efficiencies for CBDC and non-CBDC increase, or the household’s transaction efficiency for consumption decreases. Shocks to production, inflation and interest rates are analyzed.
The purpose of this study is to examine the drivers of the ownership and use of mobile accounts as compared to those of financial institution accounts in Côte d’Ivoire. In this perspective, individual level data from the Global Findex 2017 database were used to carry out simple probit and Heckman probit estimations. The results revealed that the ownership of mobile accounts is associated with determinants related to individuals in the least vulnerable strata of society (wealthier and more educated individuals and individuals in the labour force), while their use is associated with determinants related to individuals in the most vulnerable strata of society (women and individuals out of the labour force). On the other hand, the ownership and use of financial institution accounts are associated with the determinants related to individuals in the least vulnerable strata of society. Therefore, the delay between the financial institution accounts’ penetration rate and that of mobile accounts in Côte d’Ivoire may be explained by the greater use of mobile accounts by individuals in the most vulnerable strata of society, which represent the large share of the unbanked.
This research aims to analyze the effect of village apparatus competence and organizational commitment on village fund management accountability. In addition, researchers also examine the application of the village financial system (SISKEUDES) as an intervening variable. The population in this study were village officials in Kumpeh Ulu and Muaro Jambi sub-districts. Determination of the research sample using purposive sampling method, the number of samples is 145 data observations. The analysis technique used is the Structural Equation Model with the Partial Least Square (PLS) approach. The result of the research is that the competence of the village apparatus does not affect the accountability of village fund management. Organizational commitment and the implementation of SISKEUDES have a significant positive effect on the accountability of village fund management. The implementation of SISKEUDES can mediate the relationship between the competence of village officials and organizational commitment to the accountability of village fund management.
This research aims to analyze the effect of village apparatus competence and organizational commitment on village fund management accountability. In addition, researchers also examine the application of the village financial system (SISKEUDES) as an intervening variable. The population in this study were village officials in Kumpeh Ulu and Muaro Jambi sub-districts. Determination of the research sample using purposive sampling method, the number of samples is 145 data observations. The analysis technique used is the Structural Equation Model with the Partial Least Square (PLS) approach. The result of the research is that the competence of the village apparatus does not affect the accountability of village fund management. Organizational commitment and the implementation of SISKEUDES have a significant positive effect on the accountability of village fund management. The implementation of SISKEUDES can mediate the relationship between the competence of village officials and organizational commitment to the accountability of village fund management.
This study aims to analyze the development and soundness of banks from financial performance ratios in banking companies listed on the IDX in 2016-2021 using the RGEC approach; analyze the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2016-2019 or before Covid19; analyzed the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2020-2021 or during the Covid-19 pandemic. The sample consisted of the banking sub-sector listed on the IDX in the period 2016 to 2021. The data analyzed using the RGEC method. Based on the calculation of bank rating (bank soundness level), it can be seen that the key figures for the risk profile, GCG, earning and equity (RGEC) in the banking sub-sector listed on the IDX developed well in 2016-2021 in the banking sector on average from 39 banks studied. There are 11 Banks that are in Composite Rating 1 (Very Healthy), 25 Banks are on Composite Rating 2 (Healthy) and 3 Banks are on Composite Rating 3 (Sufficiently Healthy). Based on the results of panel regression tests in 2016-2019 (before Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 28.89% of bank stock returns and 71.11% of stock returns are influenced by other factors outside the variables studied. However, based on the p-value results, the variables NPL, GCG, NIM and CAR have no significant effect on bank stock returns, while the LDR and ROA variables have a significant effect on stock returns. In general, the soundness of banks listed on the IDX is in a healthy condition. Whereas the results of panel regression tests in 2020-2021 (after Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 4.93% of bank stock returns and 95.07% of stock returns are influenced by other factors outside the variables studied. However, based on the results of the p-value variables, NPL, LDR, GCG, ROA, NIM and CAR have no significant effect on bank stock returns. However, in general, the health level of banks listed on the IDX during the Covid-19 pandemic is in a healthy condition.
The purpose of the study is to prove that social media has an effect on the behavior of millennial investors mediated by financial risk tolerance. The data collected through the questionnaire was processed and tested for the validity and reliability of the construct. This study uses Structure Equational Modelling (SEM) and passes the criteria for model fit and quality indices to determine the strength of the structural model of the study before testing the hypothesis. This study found that social media and financial risk tolerance variables directly affect investor behavior, social media affects financial risk tolerance and is able to mediate social media relations with investor behavior. The mediating effect of risk tolerance is very strong on social media relations as a provider of market information with investor’s stock trading behavior, both buying and selling. This study also found that investors tend to make biased decisions when faced with bear market conditions, namely showing overreaction behavior.
The outbreak of the Coronavirus, which has caused a global crisis, has affected all aspects of human life. This pandemic has also seriously challenged the business environment, monetary and financial markets, and the performance of banks in countries. Accordingly, this paper aims to answer the question: “What is the impact of the COVID 19 pandemic crisis on the performance of the Canadian banking industry? Thus, the main purpose of the study is to investigate the impact of the Covid-19 pandemic on the performance of the Canadian banking industry. For this purpose, the related literature was systematically reviewed to extract performance indicators. Then, a quantitative approach and a multiple case study strategy were used to examine the hypotheses and answer the questions. So, three Canadian banks including RBC bank, TD bank, and BMO were selected as cases. Document- and records-based method used to collect public data from official, and well-known economic and financial sources. For data analysis, structural equation analysis and correlation test were considered using Amos 28 and APSS 27. Based on the results, although the Covid-19 pandemic has shocked the Canadian banking industry, like many businesses, but because of its high capabilities, they have been able to manage the crisis well and come out of it successfully. The results show that the average profitability and efficiency of Canadian banks decreased slightly during the pandemic period, but it was not significant. In addition, during this period, business risk has increased slightly, but this situation has gradually returned to normal. Plus, some indicators such as the average of ROE, ROI, EPS, etc. after passing the initial shock, they have found a better position than the pre-crisis. Considering the newness of the pandemic and the lack of similar knowledge and experience that has surprised people, the results of this research contribute to the theoretical development of the literature, and its results can be used in the financial, banking, and commercial fields. Since the basis of the investigations was limited to the data of only three banks, therefore, it should be a little cautious in generalizing the results.
The Covid-19 pandemic which became an epidemic throughout the world including Indonesia, so that all sectors including the economy experienced contractions, one of which was Islamic Commercial Banks which faced challenges in the midst of the Covid-19 outbreak such as possible risks to financial performance, so the purpose of this study is to analyze financial performance. Islamic commercial banks during the covid-19 pandemic and are expected to increase economic growth and maintain stability in economic conditions, using ROA, CAR, NPF, FDR and ERM ratios as variables, with a sample of 11 Islamic Commercial Banks, research using comparative quantitative methods, data processed with the paired sample t-test and the data taken are the financial statements of Islamic Commercial Banks for the previous 2018 – 2019 period, and the 2020 – 2021 period after covid-19. The result is that there are significant differences in the CAR, ROA, FDR and ERM ratios on the financial performance of Islamic banking before and after covid-19, while the NPF is not significant.
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 |