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: 22 Oct 2026 00:50 UTC — 29 Oct 2026 03:41 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 15 | 4 | 4/4 | 4/4 |
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): 2026-10-22T00:50:52.131819+00:00 — 2026-10-29T03:41:24.729867+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 | 2 | 4 | 4/4 |
| 2020 | All selected publications | 2 | 4 | 4/4 |
| 2021 | All selected publications | 3 | 4 | 4/4 |
| 2022 | All selected publications | 3 | 4 | 4/4 |
| 2023 | All selected publications | 2 | 4 | 4/4 |
| 2024 | All selected publications | 2 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2017 | 4 |
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 | 6 | 15 | 4/4 | 1.5 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.
The existence of global market resulted in the increasing number of business actors, especially Small and Medium Enterprises (SMEs). Currently SMEs are experiencing increasingly fierce market competition. Even the competition is in an increasingly complex condition. Faced with this condition, SMEs are required to have the ability to survive and improve its performance. The population of this research is the perpetrators of SMEs in the field of fishery and marine processing business in Lontar Village, Banten Province. The sample are participant of 46 SME actors. Technical sampling is purposive sampling. The data in this study is the primary data collected through questionnaires. The result are (1)Competence leader (KOM) has a positive influence on business performance variables (KIN) with a significant value of 0.070 at a significance level of 0.10.(2). Innovation (INO) has a positive influence on business performance variables (KIN) with a 0.000 significance level at a significant level of 0.05.(3). Entrepreneurship (WIRA) has a positive influence on business performance variables (KIN) with a synergy value of 0.00 at a significant level of 0.05.(4). Investment (INV) has no effect on business performance with significance of 0.223.(5). The moderator variables of entrepreneurs have an influence in contributing to the leadership competence of performance. With a significant value of 0.032.(6). The moderator variables of entrepreneurs have an influence in contributing to innovation on the performance of Entrepreneurship, with a significant value of 0.000 at the 0.05 level (7). The moderator variables of the entrepreneur have no influence in contributing to investment on the performance of the company. with a significant value of 0.060 at the 005 level.
This study aims to determine the effect of self-efficacy towards work perception and job satisfaction. The population of this study is the employees of government agencies in Bandung, Indonesia. The total samples are 117 employees with purposive sampling technique. This study uses Partial Least Square-Structural Equation Modeling (SEM) for analyzing the data. The results showed that self-efficacy significantly influences the work perception and job satisfaction. Moreover, it is found that work perception has a significant effect on job satisfaction. It shows that the level of self-efficacy can increase the work perception and job satisfaction. It indicates that the high level of self-efficacy will be a positive influence on the behavior of employees in conducting their duties so that it can increase their job satisfaction.
This study aimed to examine a number of factors that affect the accounting fraud. This study used the variables consisting of information asymmetry, organizational commitment and individual morality. Theauthors study surveyed the employees at the Office for Management of Regional Revenue, Finance and Assets (Dinas Pendapatan Pengelolaan Keuangan Aset), Yogyakarta Province. This study uses convenience sampling technique method. The data from 96 respondents revealed that the variables of information asymmetry and organizational commitment significantly enhanced the accounting fraud while the individual morality significantly diminished the accounting fraud.
The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.
The existence of global market resulted in the increasing number of business actors, especially Small and Medium Enterprises (SMEs). Currently SMEs are experiencing increasingly fierce market competition. Even the competition is in an increasingly complex condition. Faced with this condition, SMEs are required to have the ability to survive and improve its performance. The population of this research is the perpetrators of SMEs in the field of fishery and marine processing business in Lontar Village, Banten Province. The sample are participant of 46 SME actors. Technical sampling is purposive sampling. The data in this study is the primary data collected through questionnaires. The result are (1)Competence leader (KOM) has a positive influence on business performance variables (KIN) with a significant value of 0.070 at a significance level of 0.10.(2). Innovation (INO) has a positive influence on business performance variables (KIN) with a 0.000 significance level at a significant level of 0.05.(3). Entrepreneurship (WIRA) has a positive influence on business performance variables (KIN) with a synergy value of 0.00 at a significant level of 0.05.(4). Investment (INV) has no effect on business performance with significance of 0.223.(5). The moderator variables of entrepreneurs have an influence in contributing to the leadership competence of performance. With a significant value of 0.032.(6). The moderator variables of entrepreneurs have an influence in contributing to innovation on the performance of Entrepreneurship, with a significant value of 0.000 at the 0.05 level (7). The moderator variables of the entrepreneur have no influence in contributing to investment on the performance of the company. with a significant value of 0.060 at the 005 level.
This study aims to determine the effect of self-efficacy towards work perception and job satisfaction. The population of this study is the employees of government agencies in Bandung, Indonesia. The total samples are 117 employees with purposive sampling technique. This study uses Partial Least Square-Structural Equation Modeling (SEM) for analyzing the data. The results showed that self-efficacy significantly influences the work perception and job satisfaction. Moreover, it is found that work perception has a significant effect on job satisfaction. It shows that the level of self-efficacy can increase the work perception and job satisfaction. It indicates that the high level of self-efficacy will be a positive influence on the behavior of employees in conducting their duties so that it can increase their job satisfaction.
This study aimed to examine a number of factors that affect the accounting fraud. This study used the variables consisting of information asymmetry, organizational commitment and individual morality. Theauthors study surveyed the employees at the Office for Management of Regional Revenue, Finance and Assets (Dinas Pendapatan Pengelolaan Keuangan Aset), Yogyakarta Province. This study uses convenience sampling technique method. The data from 96 respondents revealed that the variables of information asymmetry and organizational commitment significantly enhanced the accounting fraud while the individual morality significantly diminished the accounting fraud.
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 |