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: 4 / 4 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 — 27 Oct 2026 19:02 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 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 4 / 4 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): 2026-10-21T07:22:59.229607+00:00 — 2026-10-27T19:02:14.334019+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 3 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 | 2 |
| 2023 | 1 |
| 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 | 4 | 1 | 5 | 4/4 | 0.25 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
This study aims to determine whether financial ability, promotion, benefit and security are the effects of using OVO digital wallets in the Pesanggrahan area, South Jakarta, Indonesia. The sample in this study amounted to 105 users of Ovo electronic money in the Pesanggrahan area of South Jakarta, Indonesia. Sample selection was done by the random sampling method. The data used in this study is primary data, namely questionnaires distributed to respondents. This analysis method uses descriptive statistical tests, data quality tests, classical assumption tests, data analysis tests, and model suitability tests using the SPSS program. The results of this study indicate that Financial Ability does not have a positive and significant effect, Promotion has a positive and significant effect, Usefulness has a positive and significant effect and Transaction Security has a positive and significant effect on the effectiveness of using OVO digital wallets in the Pesanggrahan area, South Jakarta, Indonesia.
The purpose of this study was to determine the effect of perceived ease of use, perceived usefulness, and system feasibility on the effectiveness of taxpayers using the e-Reporting Incentive Covid-19 service. The data obtained is the result of filling out a questionnaire conducted by respondents using a purposive sampling technique, as many as 100 MSMEs taxpayers in Central Jakarta who use the e-Reporting Incentive Covid-19 service. The data used in this study are primary data. This analysis method uses descriptive statistical tests, data quality tests, classical assumption tests, hypothesis tests and determination coefficient tests using SPSS. The results of this study indicate that Perceptions of Ease of Use, Perceptions of Usability, and System Eligibility have a positive and significant effect on the effectiveness of taxpayers using the e-Reporting Incentive Covid-19 service.
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.
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.
This study aims to determine whether financial ability, promotion, benefit and security are the effects of using OVO digital wallets in the Pesanggrahan area, South Jakarta, Indonesia. The sample in this study amounted to 105 users of Ovo electronic money in the Pesanggrahan area of South Jakarta, Indonesia. Sample selection was done by the random sampling method. The data used in this study is primary data, namely questionnaires distributed to respondents. This analysis method uses descriptive statistical tests, data quality tests, classical assumption tests, data analysis tests, and model suitability tests using the SPSS program. The results of this study indicate that Financial Ability does not have a positive and significant effect, Promotion has a positive and significant effect, Usefulness has a positive and significant effect and Transaction Security has a positive and significant effect on the effectiveness of using OVO digital wallets in the Pesanggrahan area, South Jakarta, Indonesia.
The purpose of this study was to determine the effect of perceived ease of use, perceived usefulness, and system feasibility on the effectiveness of taxpayers using the e-Reporting Incentive Covid-19 service. The data obtained is the result of filling out a questionnaire conducted by respondents using a purposive sampling technique, as many as 100 MSMEs taxpayers in Central Jakarta who use the e-Reporting Incentive Covid-19 service. The data used in this study are primary data. This analysis method uses descriptive statistical tests, data quality tests, classical assumption tests, hypothesis tests and determination coefficient tests using SPSS. The results of this study indicate that Perceptions of Ease of Use, Perceptions of Usability, and System Eligibility have a positive and significant effect on the effectiveness of taxpayers using the e-Reporting Incentive Covid-19 service.
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 |