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OpenAlex coverage 100.0% · 7/7 recordsLast OpenAlex observation 22 Oct 2026, 03:36 UTC
PUBLICATIONS7In the selected collection
CROSSREF CITATIONS107/7 with known counts
OPENALEX CITATIONS277/7 with known counts
OPENALEX MEAN3.86Per article with a known count
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topic: Financial Distress and Bankruptcy Prediction Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

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2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Research landscape

Leading affiliations and themes in this collection.

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Institutions

University of Brawijaya2State University of Malang1President University17/7 records with data

Countries

Indonesia5Kenya1Tanzania17/7 records with data

Primary topics

Financial Distress and Bankruptcy Prediction77/7 records with data
Two perspectives on citations

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Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

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Annual history: 7/7 articles. Latest history observation: 2026-10-22T03:36:19.486668+00:00. Source totals are never added together.
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International Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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OpenAlex · Citations received

By year of the citing work · 2017–2026

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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.

Full analytics report All distributions, publications, comparisons & data provenance
7 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS7
CROSSREF CITATIONS10
CROSSREF · CITED PUBLICATIONS85.7%
CROSSREF · MEAN CITATIONS1.43

Crossref citation coverage: 7 / 7 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS27
DOI MATCH COVERAGE100.0%7 / 7 publications
MEAN · KNOWN COUNTS ONLY3.867 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY4

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 citation distributionNo citations11–556–20121+0Unknown0

Institutions, countries & topics

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.

Institutions

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Countries

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Primary topics

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Citation year / OpenAlex

Citations received over time

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): 2026-10-21T07:22:43.123654+00:00 — 2026-10-22T03:36:19.486668+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

84.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72022 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 7/72023 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 7/72024 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 7/72025 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 7/72026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 7/7 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications077/7
2018All selected publications077/7
2019All selected publications077/7
2020All selected publications077/7
2021All selected publications077/7
2022All selected publications477/7
2023All selected publications777/7
2024All selected publications877/7
2025All selected publications677/7
2026All selected publications277/7

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean1.43
Median1
No citations11–566–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Research in Business and Social Science
SSBFNET
710277/71.43185.77/7 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 7 →

Most cited · Crossref

JOURNAL ARTICLE

Corporate bankruptcy: Evidence from the plastics and packaging industry in Indonesia

Adita Nafisa · Helmi Muhammad · Niki Puspita Sari

International Journal of Research in Business and Social Science · 2022

Read abstract

This study analyzes the bankruptcies of companies in the plastic and packaging industry listed on the Indonesian stock exchange. This analysis is essential to know the condition of the company's performance and in what position. The hope is to assist stakeholders in making the best decisions for sustainability. The positive contribution of the plastics and packaging industry in supporting economic growth in Indonesia, as well as the challenges of global issues regarding the negative impact of use, requires companies to avoid financial distress or bankruptcy. However, recent research argues that very few company managers try hard to avoid the risk of bankruptcy. This quantitative descriptive research takes a sample of 10 companies selected purposively with predetermined criteria. Following the arguments of Altman (1983), the research analysis uses the Altman Z-Score for a sample of firms in one homogeneous industry. The results showed that, in general, the plastic and packaging industry was potentially vulnerable and had financial distress or went bankrupt, and there was only one healthy company. The results of this study also have an essential contribution for stakeholders to detect early on the company's financial condition and help make sound managerial decisions.

DOI 10.20525/ijrbs.v11i6.19423 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Financial and nonfinancial factors affecting future cashflow and their impacts on financial distress

Muhamad Safiq · Rinda Selviana · Widyahayu Warmmeswara Kusumastati

International Journal of Research in Business and Social Science · 2020

Read abstract

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.

DOI 10.20525/ijrbs.v9i5.8593 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

The phenomenon of financial distress of manufacturing companies in Indonesia during the Covid-19 Pandemic

Puji Handayati · Tomy Rizky Izzalqurny · Slamet Fauzan · Nurus Shobah

International Journal of Research in Business and Social Science · 2022

Read abstract

The purpose of this study is to examine the differences in the value of the financial distress of manufacturing companies before and after the Covid-19 pandemic, as well as to examine the determinants that affect the financial distress of manufacturing companies before and after the Covid-19 pandemic. This study is a quantitative study with the population in this study namely manufacturing companies in Indonesia. The sample is 1005 Firm Years in manufacturing companies in Indonesia. These Manufacturing Companies were taken from 2016-2021, but we divided the sample into 2 categories, namely 2016-2019, namely in the pre-pandemic period as many as 653 firm years, and during the pandemic as many as 352 firm years. The dependent variable used in this study is financial distress, measured by the O-Score Model. Furthermore, the independent variables are profitability using ROA, liquidity using the current ratio, and leverage using the Debt to Assets Ratio. The test results show no difference between the financial distress of manufacturing companies in Indonesia before and during the pandemic. During the pandemic, financial ratios became more considered in predicting financial distress than before the pandemic. The role of profitability is a factor that impacts financial distress is more impactful in the pre-pandemic period. The role of liquidity being a factor that impacts financial distress is more impactful during the pandemic. Leverage can also be a good indicator in predicting financial distress both in the pre-pandemic and during the pandemic.

DOI 10.20525/ijrbs.v11i9.22051 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

The prediction of financial distress probability in East Java province governments

Rizky Aji Shiddiqy · Nurkholis · Yeney Widya Prihatiningtias

International Journal of Research in Business and Social Science · 2022

Read abstract

Beginning in the mid-1970s, financial distress in local governments became big news when New York City nearly collapsed due to the energy crisis and high inflation. When local governments experience financial distress, the responsibility to provide services to the community both now and in the future cannot be fulfilled. Local governments can only maintain services to the community if they are able to avoid financial distress. If the financial distress condition is maintained, there will be a stagnation in the level of community welfare which will have an impact on regional economic growth because it is not supported by adequate public services. Some local governments like Pennsylvania, have implemented a measure to indicate financial distress as stipulated in the 1987 Financially Distressed City Act (UU 47). However, the local government in Indonesia does not yet have an absolute measure for this financial distress condition. For this reason, financial distress in this study will use a relative measure indicated by the probability value measured using a defined approach. The results of the study provide an overview of how the relevant values in local government financial statements are able to predict financial distress in local governments. The findings show that the variables intergovernmental revenue (IGR), financial independence (FIND), employee expenditure (EMPEX), capital expenditure (CAPEX), and operating position (OPPOS) have a significant effect and can be used as an alternative predictor of financial distress with more comprehensive suitability with the financial characteristics of local government in East Java Province.

DOI 10.20525/ijrbs.v11i1.15611 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

The effect of financial distress using the Altman and Springate Models on stock return in mediated earnings management

Faradisa Bachmid · Sumiati Sumiati · Siti Aisjah

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to examine and analyze the effect of financial distress with the Altman and Springate Models on stock returns either directly or indirectly by involving earnings management as a mediation. This study uses secondary data from Textile and Garment Companies listed on the Indonesia Stock Exchange from 2015-2019, with a sample of 20 companies using sampling so that 100 observations are obtained. The data is obtained from the annual financial statements. The data analysis technique used SEM-PLS with the help of WarpPLS 6.0 software. The results of the study provide empirical evidence that financial distress has a positive effect on earnings management, while financial distress and earnings management has a negative effect on stock returns. Earnings management is able to mediate the effect of financial distress on stock returns.

DOI 10.20525/ijrbs.v10i5.12791 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Empirical analysis on the impact of market share and capital adequacy ratio on the bankruptcy rate of community banks in Tanzania: an application of Altman’s Z-Score model

Hapho Yohana · Gwahula Raphael · Saganga Kapaya

International Journal of Research in Business and Social Science · 2023

Read abstract

This paper examines the impact of market share and capital adequacy on the bankruptcy rate of community banks in Tanzania, for the period spanned for 16 years from 2006 to 2021. For instance, recently in Tanzania, seven community banks were closed by the Regulator while others were being merged to increase their going concern and operational efficiency. This study has employed a quantitative approach based on secondary data collected from the Bank of Tanzania as a Regulator and some of them were gathered from community banks. The sample size is 11 community banks, with a total of 176 observations. The panel data analysis has been conducted using statistical software, namely, STATA version 17 with the random effect model being used to generate regression results ready for interpretation. The research findings depicted significant positive correlations between bankruptcy rates as computed using Altman’s Z-score model and the independent variables, namely, market share and capital adequacy ratio. In that regard, the study recommends adequate capital levels and market share to reduce the bankruptcy rates of community banks in Tanzania.

DOI 10.20525/ijrbs.v12i8.29330 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The phenomenon of financial distress of manufacturing companies in Indonesia during the Covid-19 Pandemic

Puji Handayati · Tomy Rizky Izzalqurny · Slamet Fauzan · Nurus Shobah

International Journal of Research in Business and Social Science · 2022

Read abstract

The purpose of this study is to examine the differences in the value of the financial distress of manufacturing companies before and after the Covid-19 pandemic, as well as to examine the determinants that affect the financial distress of manufacturing companies before and after the Covid-19 pandemic. This study is a quantitative study with the population in this study namely manufacturing companies in Indonesia. The sample is 1005 Firm Years in manufacturing companies in Indonesia. These Manufacturing Companies were taken from 2016-2021, but we divided the sample into 2 categories, namely 2016-2019, namely in the pre-pandemic period as many as 653 firm years, and during the pandemic as many as 352 firm years. The dependent variable used in this study is financial distress, measured by the O-Score Model. Furthermore, the independent variables are profitability using ROA, liquidity using the current ratio, and leverage using the Debt to Assets Ratio. The test results show no difference between the financial distress of manufacturing companies in Indonesia before and during the pandemic. During the pandemic, financial ratios became more considered in predicting financial distress than before the pandemic. The role of profitability is a factor that impacts financial distress is more impactful in the pre-pandemic period. The role of liquidity being a factor that impacts financial distress is more impactful during the pandemic. Leverage can also be a good indicator in predicting financial distress both in the pre-pandemic and during the pandemic.

DOI 10.20525/ijrbs.v11i9.22051 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Corporate bankruptcy: Evidence from the plastics and packaging industry in Indonesia

Adita Nafisa · Helmi Muhammad · Niki Puspita Sari

International Journal of Research in Business and Social Science · 2022

Read abstract

This study analyzes the bankruptcies of companies in the plastic and packaging industry listed on the Indonesian stock exchange. This analysis is essential to know the condition of the company's performance and in what position. The hope is to assist stakeholders in making the best decisions for sustainability. The positive contribution of the plastics and packaging industry in supporting economic growth in Indonesia, as well as the challenges of global issues regarding the negative impact of use, requires companies to avoid financial distress or bankruptcy. However, recent research argues that very few company managers try hard to avoid the risk of bankruptcy. This quantitative descriptive research takes a sample of 10 companies selected purposively with predetermined criteria. Following the arguments of Altman (1983), the research analysis uses the Altman Z-Score for a sample of firms in one homogeneous industry. The results showed that, in general, the plastic and packaging industry was potentially vulnerable and had financial distress or went bankrupt, and there was only one healthy company. The results of this study also have an essential contribution for stakeholders to detect early on the company's financial condition and help make sound managerial decisions.

DOI 10.20525/ijrbs.v11i6.19423 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The prediction of financial distress probability in East Java province governments

Rizky Aji Shiddiqy · Nurkholis · Yeney Widya Prihatiningtias

International Journal of Research in Business and Social Science · 2022

Read abstract

Beginning in the mid-1970s, financial distress in local governments became big news when New York City nearly collapsed due to the energy crisis and high inflation. When local governments experience financial distress, the responsibility to provide services to the community both now and in the future cannot be fulfilled. Local governments can only maintain services to the community if they are able to avoid financial distress. If the financial distress condition is maintained, there will be a stagnation in the level of community welfare which will have an impact on regional economic growth because it is not supported by adequate public services. Some local governments like Pennsylvania, have implemented a measure to indicate financial distress as stipulated in the 1987 Financially Distressed City Act (UU 47). However, the local government in Indonesia does not yet have an absolute measure for this financial distress condition. For this reason, financial distress in this study will use a relative measure indicated by the probability value measured using a defined approach. The results of the study provide an overview of how the relevant values in local government financial statements are able to predict financial distress in local governments. The findings show that the variables intergovernmental revenue (IGR), financial independence (FIND), employee expenditure (EMPEX), capital expenditure (CAPEX), and operating position (OPPOS) have a significant effect and can be used as an alternative predictor of financial distress with more comprehensive suitability with the financial characteristics of local government in East Java Province.

DOI 10.20525/ijrbs.v11i1.15611 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

The effect of financial distress using the Altman and Springate Models on stock return in mediated earnings management

Faradisa Bachmid · Sumiati Sumiati · Siti Aisjah

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to examine and analyze the effect of financial distress with the Altman and Springate Models on stock returns either directly or indirectly by involving earnings management as a mediation. This study uses secondary data from Textile and Garment Companies listed on the Indonesia Stock Exchange from 2015-2019, with a sample of 20 companies using sampling so that 100 observations are obtained. The data is obtained from the annual financial statements. The data analysis technique used SEM-PLS with the help of WarpPLS 6.0 software. The results of the study provide empirical evidence that financial distress has a positive effect on earnings management, while financial distress and earnings management has a negative effect on stock returns. Earnings management is able to mediate the effect of financial distress on stock returns.

DOI 10.20525/ijrbs.v10i5.12791 Crossref citations1 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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