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: 7 / 7 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 — 23 Oct 2026 01:18 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 | 7 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 26 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 40 | 7 | 7/7 | 7/7 |
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 7 / 7 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): 2026-10-21T07:22:43.969347+00:00 — 2026-10-23T01:18:53.815297+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 2 | 7 | 7/7 |
| 2023 | All selected publications | 11 | 7 | 7/7 |
| 2024 | All selected publications | 17 | 7 | 7/7 |
| 2025 | All selected publications | 6 | 7 | 7/7 |
| 2026 | All selected publications | 4 | 7 | 7/7 |
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 | 7 |
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 | 7 | 26 | 40 | 7/7 | 3.71 | 1 | 85.7 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
This research aims to analyze and look for empirical evidence of the influence of organizational transformation on job satisfaction, the influence of organizational culture on job satisfaction, the influence of employee engagement on job satisfaction, the influence of transformational leadership on job satisfaction, the influence of work environment on job satisfaction, the influence of organizational transformation on employee performance, the influence of employee engagement on employee performance, the influence of leadership. Transformational to employee performance, the influence of organizational transformation on employee performance with job satisfaction as an intervening variable, the influence of employee engagement on employee performance with job satisfaction as an intervening variable, the influence of transformational leadership on employee performance as a varied intervening, the influence of the work environment on employee performance with job satisfaction as an intervening variable. From the results of the tests conducted known transformation. Organizational Culture, Employee Engagement, Transformational Leadership, Work environment have significant effects on Job Satisfaction, as variable intervening employee performance has a significant influence on fixed variables.
The COVID-19 pandemic that disrupted national economic activities had an impact on the MSME sector. This study examines the mediating role of company performance in supporting competitive advantage during the pandemic, which is a difficult time for MSMEs. This research collaborates entrepreneurial orientation and market orientation so that it can be predicted the factors that support MSMEs in creating competitive advantage. The sample of this research is the owners or business actors of MSMEs in the Cilacap district as many as 100 respondents and PLS-SEM is used to analyze the data. The results show that business performance acts as a full mediation for entrepreneurial orientation and competitive advantage. Market orientation has a direct effect on competitive advantage, but business performance does not mediate market orientation and competitive advantage. The results of the study also show that there are market orientation findings that act as a full mediation of the relationship between entrepreneurial orientation and competitive advantage. From these results, it can be concluded that entrepreneurial orientation requires business performance and market orientation to influence competitive advantage.
The structure of character education in Aisyiyah Sidabowa Kindergarten, Banyumas Regency, is the subject of this article. Because early childhood is an asset of the nation and will one day be its successor, early childhood education is essential for character development. Early childhood education in Kindergarten Aisyiyah Sidabowa, Banyumas Regency, goes through the beginning stages of planning, implementing, monitoring, and coaching. This descriptive study aims to discover more about how students in TK Aisyiyah Sidabowa, Banyumas Regency are taught patterns of character education and how these values can improve character education. Participatory interviews and observations were conducted for six months to collect data for this study. A descriptive analysis is carried out on the data by going through the stages of reducing research, presenting research, and drawing conclusions.
This study aims to examine the factors that influence investment intention, namely investment motivation, investment knowledge and information technology in the millennial generation in banyumas with perceived risk as a moderation variable. The samples used in this study were 220 samples. The sampling method is non-probability sampling and the sampling technique is the convenience sampling method. Structural model analysis is carried out using PLS through several stages of analysis, namely outer model analysis, inner model analysis and hypothesis testing. The results of this study show that (i) Investment Motivation has a significant effect on Investment Intention, (ii) Investment Knowledge has a significant effect on Investment Intention, (iii) Information Technology has a significant effect on Investment Intention, (iv) Perceived Risk has a significant effect on Investment Intention, (v) Perceived Risk has been proven to be able to moderate the relationship between Investment Motivation and Investment Intention, (vi) Perceived Risk is proven to be able to moderate the relationship between Information Technology Investment Intention and (vii) Perceived Risk is not proven to be able to moderate the relationship between Investment Knowledge and Investment Intention.
There are still many villages that have abundant potential but have not been able to utilize it optimally. In general, the problem is in the capacity of managers and community empowerment. The relationship between Capacity Building in improving performance has been proven in many studies and the capacity building model. This study proposes a particular capacity-building model for developing village management to improve village welfare and independence. The research used the method of observation, open questionnaires, discussion group forums, and closed questionnaires to capture the needs of village development. The Capacity Building model is formulated based on a SWOT Analysis of the research data obtained.
The structure of character education in Aisyiyah Sidabowa Kindergarten, Banyumas Regency, is the subject of this article. Because early childhood is an asset of the nation and will one day be its successor, early childhood education is essential for character development. Early childhood education in Kindergarten Aisyiyah Sidabowa, Banyumas Regency, goes through the beginning stages of planning, implementing, monitoring, and coaching. This descriptive study aims to discover more about how students in TK Aisyiyah Sidabowa, Banyumas Regency are taught patterns of character education and how these values can improve character education. Participatory interviews and observations were conducted for six months to collect data for this study. A descriptive analysis is carried out on the data by going through the stages of reducing research, presenting research, and drawing conclusions.
This study aims to examine the association between banks and firms in a loan. Our data set was pooled cross section data from 2014 to 2016, with long-term loans of firms listed in Indonesia Stock Exchange as a unit of analysis. We estimate our regression model using ordinary least square (OLS) estimator. The results revealed that lower-risk banks tend to associate with riskier but well-performing firms. Similarly, lower-capital banks tend to associate with riskier but well-performing firms. These results are quite contrary to previous studies conducted in developed countries. Lower risk banks have relationship with riskier and well-performing firms in condition that the amount of loan is small enough to be considered safe. Meanwhile, lower capital banks in this study, especially in Indonesia, may face the geographical problem which drives cost so high that makes banks charge higher interest to possibly riskier firms. This study makes contribution by providing evidence from a relative fragmented credit market. Future research on this topic is encouraged to look out more detail especially in the causality interpretation.
This study aims to examine the factors that influence investment intention, namely investment motivation, investment knowledge and information technology in the millennial generation in banyumas with perceived risk as a moderation variable. The samples used in this study were 220 samples. The sampling method is non-probability sampling and the sampling technique is the convenience sampling method. Structural model analysis is carried out using PLS through several stages of analysis, namely outer model analysis, inner model analysis and hypothesis testing. The results of this study show that (i) Investment Motivation has a significant effect on Investment Intention, (ii) Investment Knowledge has a significant effect on Investment Intention, (iii) Information Technology has a significant effect on Investment Intention, (iv) Perceived Risk has a significant effect on Investment Intention, (v) Perceived Risk has been proven to be able to moderate the relationship between Investment Motivation and Investment Intention, (vi) Perceived Risk is proven to be able to moderate the relationship between Information Technology Investment Intention and (vii) Perceived Risk is not proven to be able to moderate the relationship between Investment Knowledge and Investment Intention.
There are still many villages that have abundant potential but have not been able to utilize it optimally. In general, the problem is in the capacity of managers and community empowerment. The relationship between Capacity Building in improving performance has been proven in many studies and the capacity building model. This study proposes a particular capacity-building model for developing village management to improve village welfare and independence. The research used the method of observation, open questionnaires, discussion group forums, and closed questionnaires to capture the needs of village development. The Capacity Building model is formulated based on a SWOT Analysis of the research data obtained.
The COVID-19 pandemic that disrupted national economic activities had an impact on the MSME sector. This study examines the mediating role of company performance in supporting competitive advantage during the pandemic, which is a difficult time for MSMEs. This research collaborates entrepreneurial orientation and market orientation so that it can be predicted the factors that support MSMEs in creating competitive advantage. The sample of this research is the owners or business actors of MSMEs in the Cilacap district as many as 100 respondents and PLS-SEM is used to analyze the data. The results show that business performance acts as a full mediation for entrepreneurial orientation and competitive advantage. Market orientation has a direct effect on competitive advantage, but business performance does not mediate market orientation and competitive advantage. The results of the study also show that there are market orientation findings that act as a full mediation of the relationship between entrepreneurial orientation and competitive advantage. From these results, it can be concluded that entrepreneurial orientation requires business performance and market orientation to influence competitive advantage.
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 |