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 03:36 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 11 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 16 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 24 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 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): 2026-10-21T07:22:55.643600+00:00 — 2026-10-22T03:36:19.486668+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 | 5 | 5 | 5/5 |
| 2021 | All selected publications | 2 | 5 | 5/5 |
| 2022 | All selected publications | 13 | 5 | 5/5 |
| 2023 | All selected publications | 8 | 5 | 5/5 |
| 2024 | All selected publications | 10 | 5 | 5/5 |
| 2025 | All selected publications | 9 | 5 | 5/5 |
| 2026 | All selected publications | 3 | 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 |
|---|---|
| 2019 | 1 |
| 2020 | 2 |
| 2022 | 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 | 5 | 21 | 50 | 5/5 | 4.2 | 3 | 80.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
This research was conducted to explore the factors predicting the Entrepreneurial Intention among female entrepreneurs in the Balinese tourism industry. The theory of planned behaviour (TPB) framework was utilised as the mediating variables, while Exposure to Role Models, Psychological Characteristics, Entrepreneurship Education, and Access to Financial Capital are used as the exogenous variables. This study used a quantitative method by employing the Likert scale for the questionnaires with a total of 352 respondents and analysed using the Structural Equation Modelling (SEM). This study found that Psychological Characteristics and Entrepreneurship Education had an indirect influence on Entrepreneurial Intention through the mediating variables of Personal Attitude and Perceived Behavioural Control. Access to Financial Capital was also found to have an indirect influence on Entrepreneurial Intention with the Perceived Behavioural Control as the mediating variable
The study analyzed whether family influence, gender, and entrepreneurial education would influence vocational students’ desire to become entrepreneurs. A survey was conducted in 6 vocational schools in Tasikmalaya, West Java, involving 246 vocational students. Using multiple regression analysis, findings show that entrepreneurial education has the highest influence (57.5%) shaping entrepreneurial intention among vocational students, while gender account for 30% influence on students’ entrepreneurial intention. Male and female students believed that they must be given the same opportunities for entrepreneurship, yet there are feminine and masculine attributes that differentiate successful entrepreneurial plans between genders. Lastly, findings show that family background has the least influence (16%) on entrepreneurial intentions. Respondents disclosed that there are many choices open to them aside from being entrepreneurs, and they would opt for this choice instead of following their parents. Nevertheless, they believe in family support through advice and access to capital. Implications for research, policy, and practice are discussed. This study has shown evidence that entrepreneurship can be a solution to Indonesia’s high unemployment problem for young vocational students, but this entails better entrepreneurial education, the provision of gender-equal opportunities for males and female students, and enhanced family support for entrepreneurial ventures.
The objective of the study is to assess how industry professionals perceive the implementation of flexible work arrangements (FWA) and what challenges are likely to enable or hinder its adoption in Indonesian companies. We conducted an intensive qualitative study for three months, guided by phenomenology, with 15 industry professionals representing multi-sectorial industries, as respondents. Laddered open-ended interviewing using two series of focus group discussions was employed. Thematic analysis was used to analyze the data. Our findings show that industry professionals are in favor of FWA due to the many benefits it could bring to the employees like work-life balance, health and safety, flexible hours, convenience and comfort, and efficiency in the utilization of office space facilities.
This study aimed to determine financial and non-financial factors influencing future cash flow and their impacts on company's financial distress. This study uses earnings, cash flow from operations, accrual components, working capital (financial), inflation (nonfinancial) as independent variables that are thought to have an effect on future cash flow. In addition, this research also suspects that there is an impact of this influence on company financial distress. The sample used in this study was 30 food and beverage manufacturing companies listed on the Indonesia Stock Exchange from 2013 to 2015. Hypothesis testing, in this research, used Structural Equation Model (SEM) method with AMOS 24 statistic. The result showed that earnings, accrual component, and working capital had a significant positive effect on future cash flow. Furthermore, cash flow from operation had significant negative effect on future cash flow, but inflation did not affect company's future cash flow. These results indicate that financial variables have a significant effect, both positive and negative, on the company's future cash flow. Meanwhile, non-financial variables have no significant effect. Other test resulted that future cash flow had a significant negative effect on financial distress. Based on the results of this study, it can be seen that stakeholders, especially investors, really pay attention to the company's financial performance compared to non-finance. This is due to the significant influence of financial variables on the company's future cash flow and it can have an impact on financial distress. Therefore, future research is expected to explore other financial factors that affect the company's future cash flow, for example, the company's financial risk.
This research aims to determine whether a top cosmetic company’s Beauty for Better Life Women's Empowerment Program (BFBL – WEP) has encouraged women to become entrepreneurs in the micro, small, and medium enterprises (MSME) sector, and identify the various obstacles and challenges they face in navigating their entrepreneurship journey. Launched by the L'Oréal Foundation in 2009 in 27 countries including Indonesia, the BFBL Program believes that a program like this will play a central role in helping vulnerable, underprivileged, or marginalized women regain their self-esteem, develop self-confidence and enhance their well-being. Using a qualitative research design with primary data collected through semi-structured interviews of thirteen (13) female beneficiaries of the Program, the research covered six (6) regions in Indonesia. Additional data was obtained from two (2) more key informants representing the Head of the BFBL Program in L’Oreal Indonesia and a beauty coach. Interviews were done through hybrid methods of offline and online engagements with respondents, enabling reach as well as convenience as the respondents came from different regions across the country. Findings show that the BFBL produces successful women MSME entrepreneurs through a) training in the planning and design of beauty services; b) resource support provides mentoring and coaching, and c) marketing support skills through social media promotion, creating a business portfolio, and learning ethical practices in dealing with clients. Geographical challenges in program implementation as well as logistical capabilities of participants were detected. Implications to organizational practices related to women’s entrepreneurship promotion are presented.
This research aims to determine whether a top cosmetic company’s Beauty for Better Life Women's Empowerment Program (BFBL – WEP) has encouraged women to become entrepreneurs in the micro, small, and medium enterprises (MSME) sector, and identify the various obstacles and challenges they face in navigating their entrepreneurship journey. Launched by the L'Oréal Foundation in 2009 in 27 countries including Indonesia, the BFBL Program believes that a program like this will play a central role in helping vulnerable, underprivileged, or marginalized women regain their self-esteem, develop self-confidence and enhance their well-being. Using a qualitative research design with primary data collected through semi-structured interviews of thirteen (13) female beneficiaries of the Program, the research covered six (6) regions in Indonesia. Additional data was obtained from two (2) more key informants representing the Head of the BFBL Program in L’Oreal Indonesia and a beauty coach. Interviews were done through hybrid methods of offline and online engagements with respondents, enabling reach as well as convenience as the respondents came from different regions across the country. Findings show that the BFBL produces successful women MSME entrepreneurs through a) training in the planning and design of beauty services; b) resource support provides mentoring and coaching, and c) marketing support skills through social media promotion, creating a business portfolio, and learning ethical practices in dealing with clients. Geographical challenges in program implementation as well as logistical capabilities of participants were detected. Implications to organizational practices related to women’s entrepreneurship promotion are presented.
The objective of the study is to assess how industry professionals perceive the implementation of flexible work arrangements (FWA) and what challenges are likely to enable or hinder its adoption in Indonesian companies. We conducted an intensive qualitative study for three months, guided by phenomenology, with 15 industry professionals representing multi-sectorial industries, as respondents. Laddered open-ended interviewing using two series of focus group discussions was employed. Thematic analysis was used to analyze the data. Our findings show that industry professionals are in favor of FWA due to the many benefits it could bring to the employees like work-life balance, health and safety, flexible hours, convenience and comfort, and efficiency in the utilization of office space facilities.
This study aimed to determine financial and non-financial factors influencing future cash flow and their impacts on company's financial distress. This study uses earnings, cash flow from operations, accrual components, working capital (financial), inflation (nonfinancial) as independent variables that are thought to have an effect on future cash flow. In addition, this research also suspects that there is an impact of this influence on company financial distress. The sample used in this study was 30 food and beverage manufacturing companies listed on the Indonesia Stock Exchange from 2013 to 2015. Hypothesis testing, in this research, used Structural Equation Model (SEM) method with AMOS 24 statistic. The result showed that earnings, accrual component, and working capital had a significant positive effect on future cash flow. Furthermore, cash flow from operation had significant negative effect on future cash flow, but inflation did not affect company's future cash flow. These results indicate that financial variables have a significant effect, both positive and negative, on the company's future cash flow. Meanwhile, non-financial variables have no significant effect. Other test resulted that future cash flow had a significant negative effect on financial distress. Based on the results of this study, it can be seen that stakeholders, especially investors, really pay attention to the company's financial performance compared to non-finance. This is due to the significant influence of financial variables on the company's future cash flow and it can have an impact on financial distress. Therefore, future research is expected to explore other financial factors that affect the company's future cash flow, for example, the company's financial risk.
This research was conducted to explore the factors predicting the Entrepreneurial Intention among female entrepreneurs in the Balinese tourism industry. The theory of planned behaviour (TPB) framework was utilised as the mediating variables, while Exposure to Role Models, Psychological Characteristics, Entrepreneurship Education, and Access to Financial Capital are used as the exogenous variables. This study used a quantitative method by employing the Likert scale for the questionnaires with a total of 352 respondents and analysed using the Structural Equation Modelling (SEM). This study found that Psychological Characteristics and Entrepreneurship Education had an indirect influence on Entrepreneurial Intention through the mediating variables of Personal Attitude and Perceived Behavioural Control. Access to Financial Capital was also found to have an indirect influence on Entrepreneurial Intention with the Perceived Behavioural Control as the mediating variable
The study analyzed whether family influence, gender, and entrepreneurial education would influence vocational students’ desire to become entrepreneurs. A survey was conducted in 6 vocational schools in Tasikmalaya, West Java, involving 246 vocational students. Using multiple regression analysis, findings show that entrepreneurial education has the highest influence (57.5%) shaping entrepreneurial intention among vocational students, while gender account for 30% influence on students’ entrepreneurial intention. Male and female students believed that they must be given the same opportunities for entrepreneurship, yet there are feminine and masculine attributes that differentiate successful entrepreneurial plans between genders. Lastly, findings show that family background has the least influence (16%) on entrepreneurial intentions. Respondents disclosed that there are many choices open to them aside from being entrepreneurs, and they would opt for this choice instead of following their parents. Nevertheless, they believe in family support through advice and access to capital. Implications for research, policy, and practice are discussed. This study has shown evidence that entrepreneurship can be a solution to Indonesia’s high unemployment problem for young vocational students, but this entails better entrepreneurial education, the provision of gender-equal opportunities for males and female students, and enhanced family support for entrepreneurial ventures.
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 |