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: 9 / 9 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 — 22 Oct 2026 07:13 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.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 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 | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 11 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 13 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
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 9 / 9 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): 2026-10-21T07:22:43.107004+00:00 — 2026-10-22T07:13:18.454489+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 | 9 | 9/9 |
| 2018 | All selected publications | 0 | 9 | 9/9 |
| 2019 | All selected publications | 0 | 9 | 9/9 |
| 2020 | All selected publications | 0 | 9 | 9/9 |
| 2021 | All selected publications | 1 | 9 | 9/9 |
| 2022 | All selected publications | 6 | 9 | 9/9 |
| 2023 | All selected publications | 10 | 9 | 9/9 |
| 2024 | All selected publications | 11 | 9 | 9/9 |
| 2025 | All selected publications | 7 | 9 | 9/9 |
| 2026 | All selected publications | 1 | 9 | 9/9 |
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 | 2 |
| 2021 | 2 |
| 2022 | 2 |
| 2023 | 2 |
| 2024 | 1 |
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 | 9 | 13 | 36 | 9/9 | 1.44 | 2 | 77.8 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
The mining industry in Indonesia has a high enough capitalization value to attract investment. The more investors that invest, the higher the stock price and the value of the firm, yet the mining sector's share price has changed throughout time. The mining industry in Indonesia must likewise be mindful and worried about the environment. Previous research has not explored the correlation between profitability and firm value, which contributes as a mediator. This resulted in a clear gap in the literature. This study contributes to filling a gap in the literature. The mining sector businesses listed on the Indonesia Stock Exchange (IDX) from 2018 to 2020 were chosen as the population, with a total sample of 11 companies selected using the purposive selection approach. The data analysis process has been carried out using SPSS version 28 software. The study's findings revealed that corporate social responsibility and corporate management skills had little influence on business value. Furthermore, the findings of this research show that profitability, as a moderating variable in this study, is a complete mediator of social responsibility and managerial ability to firm value. The presence of profitability mediation in this research yields substantial findings, serving as a warning to investors.
Firm value is a very important because the success of management in managing a firm is reflected in the firm value. With the uncertainty of global economic conditions in recent years, Companies have faced challenges in maintaining or increasing firm value. Companies must have a strategy in order to increase the firm value by paying attention to financial and non -financial factors. This study aims to test and analyze the effect of ESG performance, capital structure, firm size on firm value with profitability as a mediation variable. Sampling techniques in this study uses saturated sample because all populations included in the sample criteria that used in research as many as 15 companies listed in the ESG Leaders index for the 2020-2023 period. Research data analysis using multiple linear regression methods and path analysis with SPSS programs. The results showed that ESG's performance, capital structure had a significant positive effect on firm value while firm size had a significant negative effect on the firm's value. Profitability as a mediation variable could mediate the effect of ESG performance, capital structure, firm size on the firm value.
This study aims to determine and analyze the effect of earnings management and media exposure on corporate social responsibility disclosure moderated by corporate governance. This study uses secondary data on manufacturing companies listed on the Indonesia Stock Exchange for a five-year period from 2016 to 2020. The sample selection used the purposive sampling method so that a total of 67 observations met the specified criteria. This study was tested using multiple linear regression and Moderated Regression Analysis. The results of this study provide empirical evidence that earnings management and media exposure have a positive effect on corporate social responsibility disclosure. Corporate governance with the proxies of the board of commissioners, independent commissioners and audit committees in weakening the influence of earnings management on corporate social responsibility disclosures each shows insignificant results. Meanwhile, corporate governance with the proxies of the board of commissioners and the audit committee was found to be able to strengthen the influence of media exposure on corporate social responsibility disclosure. However, independent commissioners cannot strengthen the influence of media exposure on corporate social responsibility disclosure.
This study aims to construct a pentuple bottom line hierarchical pyramid at PT Bank Negara Indonesia Tbk. The triple bottom line is the key to drive the success of implementing business sustainability. The pentuple bottom line is a deconstruction of the triple bottom line concept. The researcher used a postmodernist paradigm with imaginary dialogue as a research method. The imaginary dialogue consists of two specialists namely accountant and investor. The result of this research is a pentuple bottom line hierarchical pyramid model. The pentuple bottom line hierarchical pyramid is a model for measuring company managerial performance consisting of ethical responsibilities, profit, people, planet, and prophet. First, ethical responsibilities are ethical responsibilities, the company has an obligation to carry out good and fair business practices, second, profit is an effort to fulfill the company's economic welfare third, people, the company tries to provide benefits and advantages for the stakeholders, fourth, planet, the company can preserve the environment, the fifth, prophet is mental or spiritual balance in the process of preserving life, business organizations must consider the expression of God-consciousness, transcendental consciousness, honesty, the ability to self-contemplate and sincere love
This study examines the relationship between stock price crash risk (SPCR) or the risk of a stock price collapse with strategy, practice, and quality of sustainability reports. This research uses archival data and verification methods. Data analysis using descriptive statistics, regression, classic assumption, and path analysis. This phenomenon arose due to the large number of SPCRs which resulted in losses for investors in the capital market. Samples were taken based on judgment sampling and found 304 reporting studied during the period from 2010-2017 (8 years). The outcomes of this study are the strategy and practice of standalone sustainability reports have a positive effect on the quality of sustainability reports. The quality of sustainability reports (SRQ) mediates the strategy and practice of standalone sustainability reports against SPCR.
Firm value is a very important because the success of management in managing a firm is reflected in the firm value. With the uncertainty of global economic conditions in recent years, Companies have faced challenges in maintaining or increasing firm value. Companies must have a strategy in order to increase the firm value by paying attention to financial and non -financial factors. This study aims to test and analyze the effect of ESG performance, capital structure, firm size on firm value with profitability as a mediation variable. Sampling techniques in this study uses saturated sample because all populations included in the sample criteria that used in research as many as 15 companies listed in the ESG Leaders index for the 2020-2023 period. Research data analysis using multiple linear regression methods and path analysis with SPSS programs. The results showed that ESG's performance, capital structure had a significant positive effect on firm value while firm size had a significant negative effect on the firm's value. Profitability as a mediation variable could mediate the effect of ESG performance, capital structure, firm size on the firm value.
Investor interest in a company can be measured by changes in the share price of each company. This research will test and analyse the impact of corporate social responsibility, profitability and enterprise value on share prices. The share price becomes an attraction for investors and becomes the basis for the valuation of the company, which can be observed from the rising or falling share price trend. The data source uses secondary data in annual financial and sustainability reports of each company listed on the Indonesia Stock Exchange (IDX) and Sri Kehati Index, respectively, in 2016 - 2020. The data analysis method uses panel data regression, which was conducted in stages to determine the most appropriate regression model, and finally fixed effect was selected. The results of the study show that the variables of profitability and firm value affect stock prices, while social responsibility does not.
This study examines the effects of profitability, leverage, and Islamic social reporting (ISR) on firm value. This study uses explanatory research with a quantitative approach. The population in this study is all companies from the basic and chemical industry sectors listed on the Indonesian Syariah Stock Index in consecutive years reporting financial statements for 2017–2021. Saturated sampling is selected as the sampling method, and documentation is used to collect data. The data were analyzed using path analysis with the help of IBM-SPPS-21. The results showed that profitability significantly affects firm value, while leverage does not significantly affect firm value. Profitability significantly affects ISR reporting, whereas influence does not affect ISR reporting. ISR reporting can increase the value of a company. ISR reporting can mediate the relationship between profitability and firm value. However, ISR reporting cannot mediate the impact of leverage on firm value. The findings of this study suggest that to maximize returns, it is necessary to pay attention to the company's profitability, the proportion of leverage used, and the company's ISR reporting.
This study aims to determine the factors influencing carbon emissions disclosure in basic and chemical industrial companies listed on the IDX in 2016-2019. The research approach used in this study is a quantitative approach of the Explanatory Research type to explain the relationship between the independent and dependent variables through hypothesis testing. The sample selection was used using a purposive sampling method with the following criteria. Data in the form of financial reports and company annual reports were obtained from the website of the Indonesia Stock Exchange ICMD (Indonesian Capital Market Directory), and www.finance.yahoo.com. The data used in this study are time series and cross-section data. Based on the research that has been done, it can be concluded that the Good Corporate Governance variable has a positive and significant effect on Carbon Emissions Disclosure; Managerial Ownership Variables have a negative and significant effect on Carbon Emissions Disclosures; firm Value Variables do not affect Carbon Emissions Disclosures, Leverage Variables do not affect Carbon Emissions Disclosures, Company Size Variables have a positive and significant effect on Carbon Emissions Disclosures, Good Corporate Governance Variables, Managerial Ownership, Firm Value, Leverage and Firm Size jointly influence Carbon Emissions Disclosure. The results of this study can provide information for regulators, company management, investors, creditors, and other interested parties to understand the importance of the supervisory function in a company.
The mining industry in Indonesia has a high enough capitalization value to attract investment. The more investors that invest, the higher the stock price and the value of the firm, yet the mining sector's share price has changed throughout time. The mining industry in Indonesia must likewise be mindful and worried about the environment. Previous research has not explored the correlation between profitability and firm value, which contributes as a mediator. This resulted in a clear gap in the literature. This study contributes to filling a gap in the literature. The mining sector businesses listed on the Indonesia Stock Exchange (IDX) from 2018 to 2020 were chosen as the population, with a total sample of 11 companies selected using the purposive selection approach. The data analysis process has been carried out using SPSS version 28 software. The study's findings revealed that corporate social responsibility and corporate management skills had little influence on business value. Furthermore, the findings of this research show that profitability, as a moderating variable in this study, is a complete mediator of social responsibility and managerial ability to firm value. The presence of profitability mediation in this research yields substantial findings, serving as a warning to investors.
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 |