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: 11 / 13 publications (84.6%). 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 — 30 Oct 2026 15:35 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.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 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 | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 2 | 2 | 0/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 7 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | — | 2 | 0/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 13 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 0/2 | 2/2 |
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 13 / 13 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): 2026-10-21T07:22:51.907398+00:00 — 2026-10-30T15:35:47.154082+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 | 13 | 13/13 |
| 2018 | All selected publications | 0 | 13 | 13/13 |
| 2019 | All selected publications | 0 | 13 | 13/13 |
| 2020 | All selected publications | 0 | 13 | 13/13 |
| 2021 | All selected publications | 0 | 13 | 13/13 |
| 2022 | All selected publications | 0 | 13 | 13/13 |
| 2023 | All selected publications | 3 | 13 | 13/13 |
| 2024 | All selected publications | 6 | 13 | 13/13 |
| 2025 | All selected publications | 8 | 13 | 13/13 |
| 2026 | All selected publications | 2 | 13 | 13/13 |
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 | 1 |
| 2022 | 3 |
| 2023 | 4 |
| 2024 | 1 |
| 2025 | 2 |
| 2026 | 2 |
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 | 6 | 4 | 8 | 6/6 | 1.0 | 1.0 | 50.0 | 4/6 · 66.7% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 6 | 11 | 7/7 | 0.86 | 0 | 42.9 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
In the current era, skin and facial health is the main thing that is a concern, especially for women. Appearance has an important role in encouraging one's confidence. The supporting role of one's appearance is the use of skincare. The purpose of this study is to determine the influence of perceived value, brand image, and brand awareness on Lacoco brand equity in Surabaya. The sample in this study used accidental sampling of 100 respondents. The data collection method uses observation and questionnaires. The data processing technique used is a test of validity and reliability. Data analysis techniques include multiple linear regression tests, determination coefficient tests, and t-tests. From the results of the research hypothesis test, it was obtained that the variables of perceived value, brand image and brand awareness had a significant positive effect on Lococo brand equity where perceived value was formed due to customers' subjective assessment of the product and the benefits received by buying the product, brand image an effective one should meet the criteria of maker image, user image and product image to achieve the goals it sets, and consumers willing to buy a brand depend on consumer awareness and knowledge about the brand. In the moderation variable, brand awareness weakens the influence of brand image on brand equity, this is because the influence of perceived value on brand equity is an important aspect in understanding how the perceived value of consumers to a product or brand can impact overall brand value. When consumers have a high level of awareness about the brand and maintain a positive image of the brand, the value of the brand will increase.
This study analyzes the effect of sustainable investment awareness and risk perception on students' interest in green finance instruments, with financial literacy as a mediating variable. A quantitative approach was used, involving 180 student respondents in the Special Region of Yogyakarta, who were selected through a purposive sampling technique using an online questionnaire via Google Forms. Data analysis was conducted using the SEM-PLS method through SmartPLS version 4.1.1.2. The results showed that sustainable investment awareness, risk perception, and financial literacy positively and significantly affect student investment interest in green finance. In addition, financial literacy acts as a significant mediator in the relationship between sustainable investment awareness and risk perception on interest in investing in green finance. This study contributes to developing literature on sustainable investment behavior among the younger generation, especially university students, by integrating financial literacy variables as a mediating mechanism. The findings expand the understanding of how psychological factors and financial knowledge influence investment decisions in sustainability.
This research aims to contribute to solving the problem of tax evasion, by examine the impact of shareholders, intellectual capital, auditor reputation, and level of liabilities on tax evasion. The population is taken from manufacturing companies operating in consumer goods from 2017 to 2021 at IDX (Indonesia). The sample was selected using purposive sampling method. The dependent variable of this research is tax evasion. The independent variables are: type of shareholders, intellectual capital, auditor reputation and level of liabilities. The data analysis technique uses multiple linear regression, and it is processed using statistical software. The results found that domestic private shareholder, foreign private, the government, and individuals’ share holder have a significant negative impact on the Earnings Tax Ratio (ETR), which is a proxy for tax evasion. This means that all types of shareholders seek to avoid taxes, even in state-owned enterprises. Tax avoidance in Indonesia is difficult to eradicate because it is carried out by various parties, specifically tax officers, tax consultants, and taxpayers. The discussion of this research is limited to various factors that influence tax evasion. Subsequent research can identify how much the state loses due to tax evasion, which is carried out by tax officers, consultants, or by taxpayers. This research found that all types of owners avoid taxes. This can be prevented if the Indonesian government can 1) enforce the law, 2) increase the trust of taxpayers, 3) avoid showing off the luxurious life of tax officials and their families. 4) uphold honesty and avoid corrupt behaviour.
The global industrial world is significantly impacted by technological advancements, necessitating the establishment of regulations to enhance organizational implementation inside companies and attain optimal objectives. The norms of management accounting provide the provision of precise information for strategic and tactical decision-making in management. The objective of this study is to analyze the direct and indirect impact of accounting, environmental management, and strategy on company innovation. The study will also consider research and development activities and company size as control factors. Primary data will be used for the analysis. The sample size for this study consisted of 155 employees. The investigation involved collecting 112 samples using the Slovin formula. The analysis approach employed was multiple linear regression analysis. The study findings indicate that all variables exert a favorable impact on firm innovation. Therefore, the utilization of environmental management accounting and the execution of strategies in a reputable company will result in multiple innovations and strategies, including the reduction of product waste pollution, mitigation of global warming impacts, heightened awareness of minimizing environmental costs that may harm the environment, and the creation of new prospects for producing impeccable quality products.
The aim of this research is to examine the effect of real earnings manipulation (REM) on the performance of state-owned enterprises (SOEs) in Indonesia. This research was conducted at a state-owned company listed on the Indonesia Stock Exchange (IDX) in 2013-2017. Data obtained from financial reports and annual reports issued by IDX and the Web of each SOEs. Data also comes from the Indonesian Capital Market Directory. The research variables consist of a dependent variable, which is financial performance, and an independent variable that is REM. Financial performance is proxy by net profit margin (NPM) and returns on equity (ROE). Earnings manipulation is proxy by Roychowdhury's model. The type of ownership is used as a control variable of this research. Generally, the least square regression model is used to test the relationship between earnings manipulation and SOEs performance. This research shows that earnings manipulation based on real activities through production costs negatively affects the performance of Indonesian SOEs, government ownership negatively effects on NPM whereas public ownership has a positive effect on performance, as measured by ROE. Improper government policies can reduce the performance and significant disadvantages of SOEs.
This article maps the knowledge structure and evolution of bankruptcy/default prediction research in financial institutions using a bibliometric co-citation approach, which identifies works that are often cited together due to the proximity of their theories, methods, or themes. Bibliographic data were collected from the Web of Science (WoS) for the period 1970-2025, then extracted in a complete bibliographic format and prepared for network analysis. The co-citation procedure is carried out by extracting the reference list, normalizing and unifying citation variations, and preparing a co-citation matrix, which is then visualized and classified using VOSviewer with minimum threshold parameters and normalized association strength. The results of the document ranking based on the number of citations and Total Link Strength (TLS) show the development trajectory of the field from the ratio and Z-Score approach to the logit probabilistic model, the market foundation based on the structural theory of credit risk, the governance perspective supported by agency theory, the dynamic panel methodology/GMM for longitudinal data, to computational waves (neural networks and machine learning) to capture nonlinear patterns of credit scoring. The co-citation map uncovers four main clusters: econometrics & banking risk, structural theory, ratios, and computational, with Merton and Altman acting as the cross-cluster binding nodes. These findings support the design of a more comprehensive early warning system (EWS) by integrating ratio signals, market indicators, governance/agency factors, and ML models to improve accuracy and adaptation.
This study aims to assess the impact of exposure to Carbon Emission Disclosure (CED) and the level of Greenhouse Gas (GHG) emissions on the valuation of companies operating in the Indonesian banking sector. This in-depth study also evaluates the influence of capital structure and intellectual property assets. In addition, this study explicitly examines how financial performance moderates the relationship between these variables and the company's value. Using a quantitative research method, this analysis observed a sample consisting of banking entities listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The theoretical framework underpinning this research comprises Legitimacy Theory, Stakeholder Theory, Signal Theory, Preference Order Theory, and the resource-based view (RBV). The results reveal that transparent disclosure of carbon emissions and the accumulation of intellectual capital positively influence the company's value, while GHG emissions and leverage have adverse effects. Crucially, financial performance (ROA) moderates these relationships by weakening the positive impact of carbon disclosure and buffering the negative impact of GHG emissions but does not significantly moderate the effects of capital structure or intellectual capital. These findings offer practical guidelines for banking management to align environmental sustainability practices with financial strategies to enhance corporate value.
This study aims to determine the influence of differentiation strategies, product quality, and price on purchasing decisions in Mataram coffee shops. The type of research used in this research is quantitative research. Meanwhile, the data used in this study is primary data obtained from respondents' answers to the questionnaire to be shared. The sampling method uses the accidental sampling method. The population in this study is visitors to Mataram coffee shops every day. The sample in this study was 75 respondents. The data analysis in this study used multiple linear regression using validity test, reliability test, multiple linear regression analysis test and t hypothesis test and determination coefficient test with the SPSS 26 For Windows statistical application program. The results of this study show that differentiation strategies, product quality, and price have a positive and significant effect on consumer purchasing decisions. Mataram coffee shop management should improve marketing strategies in the form of more competitive prices, good product quality, and innovative differentiation strategies in an effort to improve purchase decisions. By implementing the right differentiation strategy in mataram coffee shops. By implementing the right differentiation strategy, Mataram coffee shops can increase the attractiveness of their products, attract new customers, and build long-term loyalty. Therefore, differentiation remains an element that needs to be strengthened to strengthen the business position in the midst of fierce competition.
This study analyzes the effect of sustainable investment awareness and risk perception on students' interest in green finance instruments, with financial literacy as a mediating variable. A quantitative approach was used, involving 180 student respondents in the Special Region of Yogyakarta, who were selected through a purposive sampling technique using an online questionnaire via Google Forms. Data analysis was conducted using the SEM-PLS method through SmartPLS version 4.1.1.2. The results showed that sustainable investment awareness, risk perception, and financial literacy positively and significantly affect student investment interest in green finance. In addition, financial literacy acts as a significant mediator in the relationship between sustainable investment awareness and risk perception on interest in investing in green finance. This study contributes to developing literature on sustainable investment behavior among the younger generation, especially university students, by integrating financial literacy variables as a mediating mechanism. The findings expand the understanding of how psychological factors and financial knowledge influence investment decisions in sustainability.
This study aims to analyze the influence of social media use, technology utilization, and e-recruitment on the interest of Generation Z in career opportunities in applying for jobs. Gen Z has a high reliance on technology and social media, which has an impact on the way they search for and apply for jobs. The method used in this study is a quantitative method. The data source in this study uses primary data. The data collection technique uses a google form questionnaire. The population in this study is active students who take their TA thesis. Even 2023/2024 at the Faculty of Economics and Business, Prof. Moestopo University (Religious). The sample in this study is 30 people. The sampling method is random sampling. The data analysis in this study uses multiple linear regression using validity test, reliability test, classical assumption test and t-hypothesis test and determination coefficient test. The results of the study show that the use of social media, the use of technology, and e-recruitment have a positive influence on Generation Z's interest in career opportunities in applying for jobs. Social media plays a role in disseminating vacancy information widely. Generation Z relies heavily on social media as a source of information and a means to explore career opportunities. Technology, such as online job search platforms, social media, and digital communication tools, provides easy access and quick information, thereby increasing their interest in finding and applying for jobs. Generation Z tends to be more interested in the recruitment process that is carried out online compared to conventional methods.
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 |