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.
ISSN 2147-4478 • Journal website ↗
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.
2020 · Renz Louis Trinidad Montano · Katarina Margarita Lacaran Acebes
2020 · Sk Alamgir Hossain · Yukun Bao · Najmul Hasan
2020 · Nida Putri Rahmayanti · Sutrisno Sutrisno T. · Yeney Widya Prihatiningtias
2020 · Ali Çoşkun · Nurdilek Dalziel
2020 · A.A Gde Satia Utama
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: 196 / 196 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 00:56 UTC — 28 Oct 2026 09:22 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.
190 / 196 with data · 6 missing or unmatched. Percentages use all 196 selected publications.
189 / 196 with data · 7 missing or unmatched. Percentages use all 196 selected publications.
196 / 196 with data · 0 missing or unmatched. Percentages use all 196 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 196 | 196 | 196/196 | 196/196 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 559 | 196 | 196/196 | 196/196 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1121 | 196 | 196/196 | 196/196 |
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 196 / 196 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): 2026-10-22T00:56:40.221818+00:00 — 2026-10-28T09:22:07.544861+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 | 196 | 196/196 |
| 2018 | All selected publications | 0 | 196 | 196/196 |
| 2019 | All selected publications | 1 | 196 | 196/196 |
| 2020 | All selected publications | 43 | 196 | 196/196 |
| 2021 | All selected publications | 133 | 196 | 196/196 |
| 2022 | All selected publications | 212 | 196 | 196/196 |
| 2023 | All selected publications | 273 | 196 | 196/196 |
| 2024 | All selected publications | 226 | 196 | 196/196 |
| 2025 | All selected publications | 159 | 196 | 196/196 |
| 2026 | All selected publications | 74 | 196 | 196/196 |
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 |
|---|---|
| 2020 | 196 |
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 | 196 | 559 | 1121 | 196/196 | 2.85 | 1.0 | 70.4 | 196/196 · 100.0% |
* Percentage among publications with a known citation count.
Experiencing a pandemic and being quarantined have been proven to have debilitating effects in mental health. Some of the existing studies mentioned in this research have been conducted to assess the presence of possible mental health concerns brought about by the pandemic but most of these studies focused on the earlier phase of the pandemic. The present study focuses on the reported distress of the respondents who have been through a strict quarantine since March 2020 and are now experiencing a more relaxed lockdown. The objective of this research is to determine if COVID stress predicts common mental health concerns such as stress, depression and anxiety. A survey was conducted with 421 Filipino respondents ages 15 – 65 utilizing the COVID Stress Scales (CSS) by Taylor et al. (2020) and DASS-21. Correlational analysis was utilized showing the COVID Stress is a predictor of depression, anxiety, and stress symptoms. Then, comparative analyses were conducted to determine if differences of COVID stress across age groups, gender, occupation, and exposure. The results show that students and unemployed respondents are highly vulnerable to COVID stress and its mental health implications. Men and women did not significantly differ in distress. Surprisingly, those who have a COVID positive family member had the lowest COVID stress and DASS scores. There were 40.7% percent who experienced moderate to severe stress, 60.3% had moderate to severe anxiety and 53.1% of the respondents had moderate to severe depression. These findings show that the pandemic stress has debilitating effects on mental health. Common mental health concerns (e.g. depression and anxiety) may be highly prevalent due to the COVID-19 pandemic
Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers. To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.
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.
In this study, 396 university students in Turkey are surveyed online regarding their attitudes towards financial issues, their level of financial knowledge, and their financial behavior. The latest version of OECD/INFE Financial Literacy Survey (2018) is used in the study. Using SPSS and LISREL. Factor analysis, Cronbach's Alpha, and Structural Equation Modeling (SEM) are used to analyze the relationship between financial knowledge of the participants with their financial attitude and behavior as well as the mediation effect of financial attitude in this relationship. In line with the common wisdom that the relationship between knowledge and behavior is higher if knowledge is better reflected in the attitude of the individual, the mediation effect of financial attitude strengthens the financial knowledge and financial behavior relationship.
This conceptual paper's objectives describe how the utilization of technology and information systems in government institutions developing e-government can improve public service performance and quality. The development of information and technology helps humans and the organization to successfully their operation. The operational system more accurate, useful, and efficient. Most governmental bodies have a low-performance rate in matters of bureaucracy. To repair the quality of bureaucratic performance in government institutions, there is a need to introduce public transparency and accountability to increase the role of public control. The usage of modern technology and systems in government is known as e-government.
Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings
This study sought to examine the effect of foreign private investment on the development of small and medium scale enterprises (SME’s) in Nigeria. The study adopted a longitudinal research design which made the use of secondary data imperative. The study employed data on the foreign private investments and development of SMEs in Nigeria covering 1991-2018. The variables used are Net Foreign direct investment, Net Foreign Portfolio investment, percentage of foreign direct investment in Gross Domestic Product (GDP), and development of SMEs in Nigeria. The technique adopted in this study is multiple regressions to test the hypotheses. E-view econometric software 3:1 was used for the analysis. The result revealed that the value of Foreign Direct Investment (FDI) and Foreign Portfolio Investment (FPI) have a negative relationship with the development of SME’s and Foreign Direct Investment (FDI) in the percentage of gross domestic product and exchange rate have a negative and significant impact on the development of SME’s in Nigeria. It was recommended among others that government should increase its funding of small and medium scale enterprises, SME’s should be encouraged to go on public offer to expand the scope of funds, the exchange rate must be strengthened to encourage SME’s to attract funds and the needs to stabilized the economy to discourage divestment.
Recognising the relevance of entrepreneurship, most African universities have made significant input into delivering Entrepreneurial Education in Higher Educational Institutions. However, the rising number of graduate unemployment raises concerns with regard to quality of educational content, and programmes. This study sought to investigate the impact of entrepreneurship course content on entrepreneurial intention and the mediation of individual entrepreneurial characteristics and also to investigate if graduates’ exposure to extra entrepreneurship training and university programme type does account for differences in individual entrepreneurial characteristics. A context-specific framework that explains entrepreneurial intention as a function of course content, programmes type, and extra entrepreneurial training is tested based on data from 400 undergraduate students and 400 graduates from eight Ghanaian universities. Evidence from the model reveals that entrepreneurial course content did impact entrepreneur Intention, however, this impact is partially mediated by the attitudes, perceived behavioural control and subjective norms of Ghanaian students and graduates. Again, while it was found that extra entrepreneurial training did account for differences in individual entrepreneurial characteristics and entrepreneurial intention of graduates, the difference due to programme type was not significant. Theoretical, policy and practical implications findings of this study are discussed.
The main object of this research is to examine whether dividend policy in the form of dividend payout ratio and dividend yield influences the volatility of sharia stock price in the Indonesian Stock Exchange. This research uses the quantitative method by using the secondary data collected from the published Indonesian Stock Exchange. The sample in this research is 106 companies registered in the Indonesian Sharia Stock Index (ISSI) in 2016-2018. The dependent variable in this research is stock price volatility while the independent variables are dividend payout ratio, dividend yield, and data of earnings volatility, debt, and size that are collected and processed from the company financial report. Multiplied regression analysis is used for correlation test and hypothesis test using the SPSS software program version 15.0. The result of the research shows a shred of evidence that dividend per share and dividend payout ratio have no influence on the stock price volatility. The result of research can help the investors to select the sharia shares, and for companies, this research is useful to determine the dividend policy
This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period.
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 |