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OpenAlex coverage 100.0% · 11/11 recordsLast OpenAlex observation 29 Oct 2026, 17:09 UTC
PUBLICATIONS11In the selected collection
CROSSREF CITATIONS7611/11 with known counts
OPENALEX CITATIONS16811/11 with known counts
OPENALEX MEAN15.27Per article with a known count
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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 Widyatama1111/11 records with data

Countries

Indonesia1111/11 records with data

Primary topics

Financial Analysis and Corporate Governance4Financial Markets and Investment Strategies1Technology Adoption and User Behaviour111/11 records with data
Two perspectives on citations

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Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

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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: 11/11 articles. Latest history observation: 2026-10-29T17:09:14.189163+00:00. Source totals are never added together.
Research side by side

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Display range
International Journal of Finance & Banking StudiesInternational 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
11 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS11
CROSSREF CITATIONS76
CROSSREF · CITED PUBLICATIONS72.7%
CROSSREF · MEAN CITATIONS6.91

Crossref citation coverage: 11 / 11 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 CITATIONS168
DOI MATCH COVERAGE100.0%11 / 11 publications
MEAN · KNOWN COUNTS ONLY15.2711 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY5

Observation range: 22 Oct 2026 01:04 UTC — 29 Oct 2026 17:09 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations21–546–20421+1Unknown0

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

11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.

Countries

11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.

Primary topics

11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 11 / 11 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 — 2026-10-29T17:09:14.189163+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

4321.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112020 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 11/112021 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 11/112022 · All selected publications · OpenAlex · Citations received by year: 30 · Annual history coverage 11/112023 · All selected publications · OpenAlex · Citations received by year: 43 · Annual history coverage 11/112024 · All selected publications · OpenAlex · Citations received by year: 37 · Annual history coverage 11/112025 · All selected publications · OpenAlex · Citations received by year: 28 · Annual history coverage 11/112026 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 11/11 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications01111/11
2018All selected publications01111/11
2019All selected publications01111/11
2020All selected publications21111/11
2021All selected publications201111/11
2022All selected publications301111/11
2023All selected publications431111/11
2024All selected publications371111/11
2025All selected publications281111/11
2026All selected publications81111/11

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.

Mean6.91
Median2
No citations31–546–20321+1Unknown0

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 Finance & Banking Studies
SSBFNET
6671516/611.174.583.36/6 · 100.0%
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.

Explore publications

View all 11 →

Most cited · Crossref

JOURNAL ARTICLE

Profit Growth : Impact of Net Profit Margin, Gross Profit Margin and Total Assests Turnover

Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha

International Journal of Finance & Banking Studies · 2020

Read abstract

As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

DOI 10.20525/ijfbs.v9i4.93746 Crossref citations96 OpenAlex citations
JOURNAL ARTICLE

Technical Analysis To Determine Buying And Selling Signal In Stock Trade

Rommy Pramudya · Rommy Pramudya

International Journal of Finance & Banking Studies · 2020

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The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.

DOI 10.20525/ijfbs.v9i1.66611 Crossref citations20 OpenAlex citations
JOURNAL ARTICLE

Macroeconomic Factors and Influence on Stock Return That Impact the Corporate Values

Fariz Mohamad Iqmal · Ivan Gumilar Sambas Putra

International Journal of Finance & Banking Studies · 2020

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This research aims to determine the influence of macroeconomic variables on stock return and its impact on corporate values. The population in this research is the sector of agriculture because based on the results of the sector's observation, the most severe decline in performance among others. Further sampling is done by the purposive sampling method, so from 22 companies that listings only 15 companies that meet the criteria. The analytical technique to be used in this study is to use a double linear regression analysis technique expanded with a pathway analysis method to obtain a comprehensive picture of the relationship between variables of one variable with other. We find is an inflation and interest rate negatively and significantly affecting the return of shares. The exchange rate positively and significantly affects the stock return and the influential stock return rate positively and significant to the corporate values.

DOI 10.20525/ijfbs.v9i1.6676 Crossref citations17 OpenAlex citations
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

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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

Influence of Promotion Mix and Perceived Usefulness in Improving the Repurchase Intention of Linkaja Applications

Muhammad Fikri · Annisa Lisdayanti

International Journal of Finance & Banking Studies · 2020

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The rapid development of internet technology can provide various facilities to access various activities from the internet.  One of the activities that can be done from the internet is to make payments on a non-cash basis or commonly called an e-wallet.  Linkaja is one of the e-wallets established by the merger of five State-Owned Enterprises in one platform, namely PT Telekomunikasi Seluler, Bank Mandiri, Bank Rakyat Indonesia, Bank Negara Indonesia, Bank Tabungan Negara, PT Pertamina and also PT Asuransi Jiwasraya.  This study aims to determine the influence of promotion mix and benefits of perception in increasing re-use of linkaja applications for consumers in the city of bandung.  The method of collecting data in this study is to use a questionnaire given to 115 respondents Linkaja users in the city of Bandung.  The data analysis technique used is linear regression model.  The results of the questionnaire were processed using the spss for windows version 25 program. The results of the study showed that the influence of the promotion mix variable on Linkaja e-wallet repurchase intention was 68.4% and for the influence of perceived usefulness variables on Linkaja e-wallet repurchase intention was 71.17%. Whereas for the simultaneous effect it was obtained the result of 51.4% and the remaining 49.6% was influenced by other factors.  

DOI 10.20525/ijfbs.v9i1.6653 Crossref citations14 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

Profit Growth : Impact of Net Profit Margin, Gross Profit Margin and Total Assests Turnover

Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha

International Journal of Finance & Banking Studies · 2020

Read abstract

As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

DOI 10.20525/ijfbs.v9i4.93746 Crossref citations96 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

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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 monetary performance on stock return in consumer goods industry

WINDARI CHRISTY NAINGGOLAN · Vincentia Wahju Widajatun

International Journal of Finance & Banking Studies · 2020

Read abstract

Instrument which conventionaly used to invest in a capital market is stock. Investor who invested in stocks wanted a certain level of profits from it, the profit from the result of the investment is called stock return. The increase or decreases of investors’ stock return acquisition were determined by monetary performance projected in the company monetary report. The purpose of this research is to discover the monetary performance of stock return on the category of consumer goods industry company in 2015-2018 periode using EPS (Earnings Per Share), ROE (Return on equity), and DER (Debt to equity ratio) as its measurement tools.
 The method used in this research is causal method with consumer goods industry company sector as its research object. Purposive sampling was used as research sample extraction and as a result, 14 companies were determined as data sample. The data were analyzed using classic assumption test (normality, multicollinearity dan heteroskedasticity). The samples were analyzed using data analysis panel or pooled data. 
 From the result of the research it was determined that monetary performance projected in return on equity was significantly affected the stock return. As for the monetary performance projected in earning per share and debt to equity ratio, was partially insignificant to its effect on stock return. Both monetary performance projected in earning per share, return on equity and debt to equity ratio was significantly affected the stock return of consumer goods industry company in 2015-2018.
  

DOI 10.20525/ijfbs.v9i3.8010 Crossref citations0 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

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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

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 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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