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: 78 / 78 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 00:58 UTC — 29 Oct 2026 05:13 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.
78 / 78 with data · 0 missing or unmatched. Percentages use all 78 selected publications.
78 / 78 with data · 0 missing or unmatched. Percentages use all 78 selected publications.
78 / 78 with data · 0 missing or unmatched. Percentages use all 78 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 | 78 | 78 | 78/78 | 78/78 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 232 | 78 | 78/78 | 78/78 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 595 | 78 | 78/78 | 78/78 |
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 78 / 78 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): 2026-10-22T00:58:33.270446+00:00 — 2026-10-29T05:13:38.109531+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 | 78 | 78/78 |
| 2018 | All selected publications | 0 | 78 | 78/78 |
| 2019 | All selected publications | 1 | 78 | 78/78 |
| 2020 | All selected publications | 21 | 78 | 78/78 |
| 2021 | All selected publications | 60 | 78 | 78/78 |
| 2022 | All selected publications | 115 | 78 | 78/78 |
| 2023 | All selected publications | 161 | 78 | 78/78 |
| 2024 | All selected publications | 133 | 78 | 78/78 |
| 2025 | All selected publications | 72 | 78 | 78/78 |
| 2026 | All selected publications | 32 | 78 | 78/78 |
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 | 78 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 2 | 1 | 7 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 11 | 81 | 189 | 11/11 | 7.36 | 2 | 72.7 | 11/11 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 65 | 150 | 399 | 65/65 | 2.31 | 1 | 70.8 | 65/65 · 100.0% |
* Percentage among publications with a known citation count.
As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.
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.
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.
An increase in MSMEs in large numbers is very instrumental in increasing economic growth in developing countries, including Indonesia. The research objective is based on identifying the effect of investment credit, interest rates, and labor on economic growth through the role of MSMEs. The design of this research is descriptive-verification to present a structured, factual and accurate picture and test hypotheses empirically through the MRA model. Empirical analysis proves that investment credit and interest rates through the role of MSMEs can influence positively and significantly on Indonesia's economic growth. In other results, it appears that the role of MSMEs is less able to mediate the effect of labor on Indonesia's economic growth. This fact is based on a negative and insignificant relationship. In a sentence or two, enter the implications and limitations of your research. In Indonesia, increasing bank lending to MSMEs in practice is undermined by lending policies by banks and by macroeconomic factors (economic growth, interest rates, investment credit, and labor).
The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.
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.
This research aims to test and provide empirical evidence of an ethical orientation of idealism, relativism, and ethical culture of the organization to auditor ethical behavior with experience as a moderation variable. This study used the census methods to all auditors in Badan Pemeriksa Keuangan Republik Indonesia the Provincial Representative of East Kalimantan. Data obtained by 33 respondents and processed with SmartPLS. The result shows that idealism and the ethical culture of the organization have a positive effect on the auditor's ethical behavior, whereas relativism has no negative effect on the auditor's ethical behavior. The moderation test result shows that the experience cannot moderate the ethical orientation of idealism and relativism on auditors' ethical behavior, however, experience has proven to moderate the ethical culture of the organization on auditors' ethical behavior.
Referring to the provisions of Law Number 7 of 1992 and its amendments to Law Number 10 of 1998 concerning Banking, it is explained that a Bank is a business entity that collects funds from the public in the form of deposits and distributes them to the public in the form of credit and or other forms of to improve the standard of living of the wider community so that the banking industry greatly affects the overall stability of the economy because banking institutions are intermediary institutions that bridge people who do not need their funds (surplus) to be deposited in banking institutions as deposits and distributed by these institutions to people who need them in a productive form of distribution. The role of banking institutions is systemic; in other words, banking is an important part of the economic system which will cause a multiplier effect if it is not healthy or in this case, it becomes a failed bank. The main function of banking in macroeconomic policy infrastructure is indeed directed in the context of how to make money effectively and efficiently to increase economic value, which requires the role of regulation in the economic sector as a rule for the essence and existence of banking institutions in carrying out their operations. This study is normative legal research that uses several approaches namely: the statute approach, the case approach, the historical approach, and the conceptual approach carried out with juridical concepts of banks, failed banks, bank restructuring, macroprudential and microprudential. The objective of this study is to comprehensively explain the model and system for rescuing failed banks that meet the benefits principles.
Indonesian National Institute of Aeronautics and Space (LAPAN) as a space ecosystem runner government institution of the space agency in Indonesia is mandated by Indonesia space law of 2013 to carry out remote sensing activities that are not only strategic nationally in nature but also charged being benefits economically. This study investigated the intangible economic benefits of remote sensing activities in Indonesia. This research explored qualitatively the advantage of the use of remote sensing information by users obtained from the results of questionnaires and in-depth interviews. The conceptual framework of intangible benefit is based on the information system success model by the De-Lone and McLean Information Value model. The results showed that the quality of remote sensing was good. This can be seen from most responses of user respondents on the Perceived System Quality and Information Quality indicators giving a good rating. The response of the user respondents caused a sense of satisfaction and also caused the use of the system to be more intense. These had a good impact on the performance of respondents, both individually and organizationally. Strengthened by in-depth interviews showed that economically provide benefits with an average of 64% increasing in the efficiency of the performance by Agriculture and Palm Oil sectors. In short, space agency in Indonesia is proven to provide intangible economic benefits on remote sensing activities.
With the pandemic Covid, the Indonesian government issued a fiscal policy through the Financial Services Authority (POJK 11 2020) on National Economic Stimulus as Policy Countercyclical Impact Deployment Coronavirus Disease, 2019. This study analyzes the reaction markets banking sector in Indonesia to the event announcement publication of these regulations. This quantitative study uses the Event Study methodology. This study uses abnormal return testing events on secondary data 45 Indonesian banks listed on the Jakarta Stock Exchange. The method of calculating the abnormal return uses the Market Model, with an estimated period of 21 days and a window period of 11 days. The research period was carried out between February 11 and March 20, 2020. The test carries out with an average of difference test before and after the event, with an error rate of 5%. Based on the cumulative abnormal return t-test, data shows that from minus five days, the regulation's announcement up to 5 days after which the market moves significantly negative. This event study is a news phenomenon of Indonesia's latest financial policies related to banking stocks during the Covid pandemic.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |