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: 5 / 5 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 01:45 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | 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 5 / 5 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): 2026-10-21T07:22:57.911204+00:00 — 2026-10-22T01:45:38.930672+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 1 | 5 | 5/5 |
| 2024 | All selected publications | 2 | 5 | 5/5 |
| 2025 | All selected publications | 2 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 | 1 |
| 2024 | 2 |
| 2025 | 1 |
| 2026 | 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 2 | 5 | 4/4 | 0.5 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to explore the mediating role of job satisfaction in the influence of transformational leadership and transactional leadership on organizational citizenship behavior (OCB). A total of 110 respondents were involved in this study. In collecting data, researchers distributed questionnaires to nurses at the regional general hospital, Tulungangung, East Java, Indonesia. The collected data were then analyzed using the partial least squares (PLS) method. The research findings show that there is a significant relationship between transformational leadership and OCB, job satisfaction and OCB. However, not as we expected, transactional leadership did not show a significant improvement in nurses’ OCB. Furthermore, both transformational leadership and transactional leadership are able to act as strong predictors of job satisfaction. Finally, we hypothesized that job satisfaction may mediate the effect of transformational leadership and transactional leadership on OCB.
The coal industry in Indonesia is a capital-intensive sector characterized by long operating cycles and high dependence on global commodity price fluctuations. These conditions create substantial liquidity needs, making efficient working capital management crucial. This study aims to examine the effect of Supply Chain Finance (SCF) on firm performance in Indonesia’s coal production sub-industry. SCF in this study is measured using the Cash Conversion Cycle (CCC) and its components, Days Sales Outstanding (DSO), Days Inventory Outstanding (DIO), and Days Payable Outstanding (DPO). Firm performance is proxied by Return on Assets (ROA), while the control variables include firm size (SIZE), leverage (LEV), and sales growth (SALEG). The main hypothesis proposes that SCF has a positive effect on firm performance. This research employs secondary data from 19 coal production companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2024 period. The analysis is conducted using panel data regression with the Random Effect Model (REM) approach, estimated through the Generalized Least Square (XTGLS) method.The results show that SCF has no significant effect on firm performance, while leverage (LEV) and sales growth (SALEG) have a negative and significant effect. The coefficient of determination (R²) of 27.06% indicates that the model explains 27.06% of the variation in firm performance. These findings suggest that SCF efficiency in the coal industry does not directly enhance profitability, likely due to the long cash conversion cycle and high capital requirements inherent in this sector.
This research aims to determine and analyze the influence of financial literacy and lifestyle on financial behavior. This type of research is explanatory research using a quantitative approach method. The sampling technique uses probability sampling with the proportionate stratified random sampling method with a sample size of 395 people. The data analysis technique used in this research is multiple linear regression analysis using SPSS tools. The results of this research show that financial literacy has a positive and significant effect on the financial behavior of generation Z. Lifestyle has a negative and significant effect on the financial behavior of generation Z. Financial literacy and lifestyle simultaneously have a positive and significant effect on the financial behavior of generation Z in Sawahan District, Surabaya City. The results of this study suggest that generation Z must have qualified financial literacy and have a healthy lifestyle in order to form good financial management so that generation Z has an awareness of the importance of doing good financial planning as early as possible to achieve financial well-being.
This study examines the influence of SME performance, knowledge sharing, work motivation, and the work ethic of SME proprietors. This research was conducted on Small and Medium Enterprises in East Java. The study population comprised 293 proprietors of small and medium-sized enterprises (SMEs) employing between 3 and 10 individuals. The participants in the study were owners of small and medium enterprises situated across East Java. Data collection for each variable was performed using questionnaires. Data analysis methodologies utilize descriptive analysis techniques and quantitative data analysis techniques, such as Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results demonstrated that the mediating effect of work ethics on the relationship between work motivation and company performance was insignificant. The mediating effect of work ethics on the relationship between work motivation and knowledge sharing was substantial. The correlation between work motivation, work ethics, and knowledge sharing was positive and significant; however, the influence of motivation on company performance was not significant. The motivation of employees negatively affects the performance of small and medium-sized enterprises (SMEs) in East Java. This study offers guidance to managers of small and medium enterprises on implementing work ethics to enhance employee motivation, performance, and knowledge sharing.
MSMEs are independent business units managed by individuals or groups that can take the form of individual companies, partnerships, or limited liability companies. Risk is generally always seen as something that has a negative impact, such as loss, danger, and several other consequences. Research objectives: 1) Identifying the risks of food MSMEs in Malang City; 2) Analyze the factors that influence the risk of MSMEs; 3) formulate the concept of risk mitigation of Food MSMEs in situations of Global economic policy uncertainty. Research design: using a quantitative approach by conducting interviews and distributing questionnaires. The research population includes all food MSMEs in Malang City amounting to 16,417 MSMEs. The sample used was 376 MSMEs with a purposive sampling method, the criteria for MSMEs Snacks in Malang City, has been established for at least 3 years. This research uses a descriptive qualitative approach with data collection techniques, namely distributing questionnaires and interviews to several food MSME owners in Malang City as key informants. The results showed that identifying MSME risks is an important step in business risk management. After the risks are identified, MSMEs need to mitigate risks so that they can develop a business risk mitigation concept in order to reduce the losses that will be faced in the uncertainty of global economic policies. The results of the study provide practical benefits for Malang City MSMEs to minimize risks and for policy makers. As well as producing a conceptualization of risk mitigation for food MSMEs in situations of Global Economic Policy Uncertainty.
The coal industry in Indonesia is a capital-intensive sector characterized by long operating cycles and high dependence on global commodity price fluctuations. These conditions create substantial liquidity needs, making efficient working capital management crucial. This study aims to examine the effect of Supply Chain Finance (SCF) on firm performance in Indonesia’s coal production sub-industry. SCF in this study is measured using the Cash Conversion Cycle (CCC) and its components, Days Sales Outstanding (DSO), Days Inventory Outstanding (DIO), and Days Payable Outstanding (DPO). Firm performance is proxied by Return on Assets (ROA), while the control variables include firm size (SIZE), leverage (LEV), and sales growth (SALEG). The main hypothesis proposes that SCF has a positive effect on firm performance. This research employs secondary data from 19 coal production companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2024 period. The analysis is conducted using panel data regression with the Random Effect Model (REM) approach, estimated through the Generalized Least Square (XTGLS) method.The results show that SCF has no significant effect on firm performance, while leverage (LEV) and sales growth (SALEG) have a negative and significant effect. The coefficient of determination (R²) of 27.06% indicates that the model explains 27.06% of the variation in firm performance. These findings suggest that SCF efficiency in the coal industry does not directly enhance profitability, likely due to the long cash conversion cycle and high capital requirements inherent in this sector.
MSMEs are independent business units managed by individuals or groups that can take the form of individual companies, partnerships, or limited liability companies. Risk is generally always seen as something that has a negative impact, such as loss, danger, and several other consequences. Research objectives: 1) Identifying the risks of food MSMEs in Malang City; 2) Analyze the factors that influence the risk of MSMEs; 3) formulate the concept of risk mitigation of Food MSMEs in situations of Global economic policy uncertainty. Research design: using a quantitative approach by conducting interviews and distributing questionnaires. The research population includes all food MSMEs in Malang City amounting to 16,417 MSMEs. The sample used was 376 MSMEs with a purposive sampling method, the criteria for MSMEs Snacks in Malang City, has been established for at least 3 years. This research uses a descriptive qualitative approach with data collection techniques, namely distributing questionnaires and interviews to several food MSME owners in Malang City as key informants. The results showed that identifying MSME risks is an important step in business risk management. After the risks are identified, MSMEs need to mitigate risks so that they can develop a business risk mitigation concept in order to reduce the losses that will be faced in the uncertainty of global economic policies. The results of the study provide practical benefits for Malang City MSMEs to minimize risks and for policy makers. As well as producing a conceptualization of risk mitigation for food MSMEs in situations of Global Economic Policy Uncertainty.
This research aims to determine and analyze the influence of financial literacy and lifestyle on financial behavior. This type of research is explanatory research using a quantitative approach method. The sampling technique uses probability sampling with the proportionate stratified random sampling method with a sample size of 395 people. The data analysis technique used in this research is multiple linear regression analysis using SPSS tools. The results of this research show that financial literacy has a positive and significant effect on the financial behavior of generation Z. Lifestyle has a negative and significant effect on the financial behavior of generation Z. Financial literacy and lifestyle simultaneously have a positive and significant effect on the financial behavior of generation Z in Sawahan District, Surabaya City. The results of this study suggest that generation Z must have qualified financial literacy and have a healthy lifestyle in order to form good financial management so that generation Z has an awareness of the importance of doing good financial planning as early as possible to achieve financial well-being.
This study examines the influence of SME performance, knowledge sharing, work motivation, and the work ethic of SME proprietors. This research was conducted on Small and Medium Enterprises in East Java. The study population comprised 293 proprietors of small and medium-sized enterprises (SMEs) employing between 3 and 10 individuals. The participants in the study were owners of small and medium enterprises situated across East Java. Data collection for each variable was performed using questionnaires. Data analysis methodologies utilize descriptive analysis techniques and quantitative data analysis techniques, such as Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results demonstrated that the mediating effect of work ethics on the relationship between work motivation and company performance was insignificant. The mediating effect of work ethics on the relationship between work motivation and knowledge sharing was substantial. The correlation between work motivation, work ethics, and knowledge sharing was positive and significant; however, the influence of motivation on company performance was not significant. The motivation of employees negatively affects the performance of small and medium-sized enterprises (SMEs) in East Java. This study offers guidance to managers of small and medium enterprises on implementing work ethics to enhance employee motivation, performance, and knowledge sharing.
This study aims to explore the mediating role of job satisfaction in the influence of transformational leadership and transactional leadership on organizational citizenship behavior (OCB). A total of 110 respondents were involved in this study. In collecting data, researchers distributed questionnaires to nurses at the regional general hospital, Tulungangung, East Java, Indonesia. The collected data were then analyzed using the partial least squares (PLS) method. The research findings show that there is a significant relationship between transformational leadership and OCB, job satisfaction and OCB. However, not as we expected, transactional leadership did not show a significant improvement in nurses’ OCB. Furthermore, both transformational leadership and transactional leadership are able to act as strong predictors of job satisfaction. Finally, we hypothesized that job satisfaction may mediate the effect of transformational leadership and transactional leadership on OCB.
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 |