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Journals / IJRBS RESEARCH PROFILE

International Journal of Research in Business and Social Science

ISSN 2147-4478 • Journal website ↗

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OpenAlex coverage 100.0% · 5/5 recordsLast OpenAlex observation 22 Oct 2026, 01:52 UTC
PUBLICATIONS5In the selected collection
CROSSREF CITATIONS95/5 with known counts
OPENALEX CITATIONS175/5 with known counts
OPENALEX MEAN3.4Per article with a known count
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Research in focus

Most cited articles

Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.

  1. 6Crossref citations
  2. 2Crossref citations
  3. 1Crossref citations
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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

Universitas Widyatama55/5 records with data

Countries

Indonesia55/5 records with data

Primary topics

Financial Markets and Investment Strategies1Banking stability, regulation, efficiency1Credit Risk and Financial Regulations15/5 records with data
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Lifetime citations by publication year

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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

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

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Annual history: 5/5 articles. Latest history observation: 2026-10-22T01:52:38.081305+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 research profile All distributions, publications, comparisons & data provenance
5 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS5
CROSSREF CITATIONS9
CROSSREF · CITED PUBLICATIONS60.0%
CROSSREF · MEAN CITATIONS1.8

Crossref citation coverage: 5 / 5 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 CITATIONS17
DOI MATCH COVERAGE100.0%5 / 5 publications
MEAN · KNOWN COUNTS ONLY3.45 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 22 Oct 2026 01:04 UTC — 22 Oct 2026 01:52 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–536–20121+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

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Countries

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Primary topics

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 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): 2026-10-22T01:04:51.961944+00:00 — 2026-10-22T01:52:38.081305+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52020 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 5/52021 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 5/52022 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 5/52023 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 5/52024 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52025 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/5 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications055/5
2018All selected publications055/5
2019All selected publications055/5
2020All selected publications155/5
2021All selected publications455/5
2022All selected publications455/5
2023All selected publications255/5
2024All selected publications355/5
2025All selected publications355/5
2026All selected publications055/5

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 ↗

Crossref citation distribution

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

Mean1.8
Median1
No citations21–526–20121+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
59175/51.8160.05/5 · 100.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

How does the six-factor model do in explaining the relationship between return and risk on the Indonesia stock exchange?

Claudia Florensia · Neneng Susanti

International Journal of Research in Business and Social Science · 2020

Read abstract

This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period.

DOI 10.20525/ijrbs.v9i7.9306 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The role of communication climate on the performance of PT. Lazada Express Bandung employees with work motivation as an intervening variable

Satia Sugiarto · Ivan Gumilar Sambas Putra

International Journal of Research in Business and Social Science · 2020

Read abstract

Human resources in a company will always communicate with each other. In this business world, nothing can be accomplished without communicating effectively with employers, employees, clients, suppliers, and customers. The purpose of this study is to analyze the influence of communication climate on motivation, to analyze the influence of motivation on employee performance, and the influence of communication climate on employee performance mediated by motivation. This study used descriptive analysis research methods and path analysis using SPSS version 25 software. The unit of analysis in this study were all employees of PT Lazada Express Bandung, so the population in this study were all employees totaling 52 people. The sampling method using a saturated sampling method so that the number of respondents as large as the population of 52 employees. The results showed that the climate of communication has an influence on employee motivation. The magnitude of the influence of the communication climate on employee performance is 79.60%. and there is an influence between work motivation on employee performance and motivation does not mediate the effect of communication climate on employee performance.

DOI 10.20525/ijrbs.v9i5.7882 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

The influence of profitability and liquidity to bond rating and the impact on the bond yield

Mayang Saraswaty Dewi · Eristy Minda Utami

International Journal of Research in Business and Social Science · 2020

Read abstract

The capital market has an important role in the economy of a country, as it serves as a source of funds for the company as well as a source of investment for the community. Bonds are financial instruments or securities that show that bond issuers have the obligation to pay the coupons and pay off the underlying debt at the appointed time. This research focuses on financial risk that is a financial ratio consisting of profitability and liquidity. This research aims to determine the impact of profitability and liquidity on bond rating and the impact on the bond yield on non-financial companies listed on the Indonesia Stock Exchange (IDX) period 2014-2018. The methods used are descriptive and verificative. The sampling technique used in this study was Purposive Sampling. The number of companies being sampled in this study was 33 companies. This study uses the path analysis method to determine which variables have an influence on bond ratings and their impact on bond yield. The results showed that the variable profitability had a significant effect on bond ratings, liquidity had no significant effect on bond ratings, and bond ratings were significantly influential on bond yield

DOI 10.20525/ijrbs.v9i4.7291 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

The impact of internal business environment on marketing strategies effecting marketing performance

Dicky Jhon Anderson Butarbutar · Annisa Lisdayanti

International Journal of Research in Business and Social Science · 2020

Read abstract

This research specifically aims to evaluate the influence of directly and indirectly internal business environments on the marketing strategy and marketing performance of the retail industry in the city of Bandung. The population in this study amounted to 442 minimarkets with the formula Slovin to determine the sample, obtained 82 samples to be researched. The methods in this study use descriptive and vermicular methods. The results in a partial internal environment have an influence on the marketing strategy of retail industry minimarket Bandung and marketing strategy also has an influence on the marketing performance of the retail industry minimarket Bandung City. Simultaneous testing found that the internal environment and marketing strategy had a significant influence on the marketing performance of retail industry minimarket Bandung with great influence 58.6% The remaining 41.4% influenced By other factors beyond this research. This research also finds indirectly internal environment also has a significant influence on the marketing strategy of the retail industry minimarket Bandung in a positive direction. So the ability to understand the internal environmental conditions well will help the accuracy in decision-making strategies and impact on the marketing performance improvement of the retail industry minimarket Bandung.  

DOI 10.20525/ijrbs.v9i4.7780 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Application of Basel III on health level in banking sub sector company

Yutaka Erwan · John Henry Wijaya

International Journal of Research in Business and Social Science · 2020

Read abstract

The purpose of this study is to determine the effect of the level of banking health on the ratio of liquidity coverage in the corporate banking sub-sector included in the category of commercial banks based on business activities (BOOK) 3 during the 2017-2018 period with each period only taking 2 quarterly data. The sample in this study was a banking company listed on the IDX and included in a commercial bank based on business activities (BOOK) 3 consisting of 19 banks selected using the purposive sampling method, with a total of 76 data units. The analytical method used in this study is panel data regression analysis. The results of partial hypothesis testing indicate that the ratio of liquidity coverage is influenced by the level of health with the Altman Z-Score modification method and the Grover G-Score method.

DOI 10.20525/ijrbs.v9i3.6880 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

How does the six-factor model do in explaining the relationship between return and risk on the Indonesia stock exchange?

Claudia Florensia · Neneng Susanti

International Journal of Research in Business and Social Science · 2020

Read abstract

This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period.

DOI 10.20525/ijrbs.v9i7.9306 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The role of communication climate on the performance of PT. Lazada Express Bandung employees with work motivation as an intervening variable

Satia Sugiarto · Ivan Gumilar Sambas Putra

International Journal of Research in Business and Social Science · 2020

Read abstract

Human resources in a company will always communicate with each other. In this business world, nothing can be accomplished without communicating effectively with employers, employees, clients, suppliers, and customers. The purpose of this study is to analyze the influence of communication climate on motivation, to analyze the influence of motivation on employee performance, and the influence of communication climate on employee performance mediated by motivation. This study used descriptive analysis research methods and path analysis using SPSS version 25 software. The unit of analysis in this study were all employees of PT Lazada Express Bandung, so the population in this study were all employees totaling 52 people. The sampling method using a saturated sampling method so that the number of respondents as large as the population of 52 employees. The results showed that the climate of communication has an influence on employee motivation. The magnitude of the influence of the communication climate on employee performance is 79.60%. and there is an influence between work motivation on employee performance and motivation does not mediate the effect of communication climate on employee performance.

DOI 10.20525/ijrbs.v9i5.7882 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

The impact of internal business environment on marketing strategies effecting marketing performance

Dicky Jhon Anderson Butarbutar · Annisa Lisdayanti

International Journal of Research in Business and Social Science · 2020

Read abstract

This research specifically aims to evaluate the influence of directly and indirectly internal business environments on the marketing strategy and marketing performance of the retail industry in the city of Bandung. The population in this study amounted to 442 minimarkets with the formula Slovin to determine the sample, obtained 82 samples to be researched. The methods in this study use descriptive and vermicular methods. The results in a partial internal environment have an influence on the marketing strategy of retail industry minimarket Bandung and marketing strategy also has an influence on the marketing performance of the retail industry minimarket Bandung City. Simultaneous testing found that the internal environment and marketing strategy had a significant influence on the marketing performance of retail industry minimarket Bandung with great influence 58.6% The remaining 41.4% influenced By other factors beyond this research. This research also finds indirectly internal environment also has a significant influence on the marketing strategy of the retail industry minimarket Bandung in a positive direction. So the ability to understand the internal environmental conditions well will help the accuracy in decision-making strategies and impact on the marketing performance improvement of the retail industry minimarket Bandung.  

DOI 10.20525/ijrbs.v9i4.7780 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The influence of profitability and liquidity to bond rating and the impact on the bond yield

Mayang Saraswaty Dewi · Eristy Minda Utami

International Journal of Research in Business and Social Science · 2020

Read abstract

The capital market has an important role in the economy of a country, as it serves as a source of funds for the company as well as a source of investment for the community. Bonds are financial instruments or securities that show that bond issuers have the obligation to pay the coupons and pay off the underlying debt at the appointed time. This research focuses on financial risk that is a financial ratio consisting of profitability and liquidity. This research aims to determine the impact of profitability and liquidity on bond rating and the impact on the bond yield on non-financial companies listed on the Indonesia Stock Exchange (IDX) period 2014-2018. The methods used are descriptive and verificative. The sampling technique used in this study was Purposive Sampling. The number of companies being sampled in this study was 33 companies. This study uses the path analysis method to determine which variables have an influence on bond ratings and their impact on bond yield. The results showed that the variable profitability had a significant effect on bond ratings, liquidity had no significant effect on bond ratings, and bond ratings were significantly influential on bond yield

DOI 10.20525/ijrbs.v9i4.7291 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Application of Basel III on health level in banking sub sector company

Yutaka Erwan · John Henry Wijaya

International Journal of Research in Business and Social Science · 2020

Read abstract

The purpose of this study is to determine the effect of the level of banking health on the ratio of liquidity coverage in the corporate banking sub-sector included in the category of commercial banks based on business activities (BOOK) 3 during the 2017-2018 period with each period only taking 2 quarterly data. The sample in this study was a banking company listed on the IDX and included in a commercial bank based on business activities (BOOK) 3 consisting of 19 banks selected using the purposive sampling method, with a total of 76 data units. The analytical method used in this study is panel data regression analysis. The results of partial hypothesis testing indicate that the ratio of liquidity coverage is influenced by the level of health with the Altman Z-Score modification method and the Grover G-Score method.

DOI 10.20525/ijrbs.v9i3.6880 Crossref citations0 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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