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: 7 / 7 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 00:14 UTC — 21 Oct 2026 07:22 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 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): 2026-10-21T00:14:32.135729+00:00 — 2026-10-21T07:22:57.145020+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 | 1 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 1 | 7 | 7/7 |
| 2022 | All selected publications | 4 | 7 | 7/7 |
| 2023 | All selected publications | 1 | 7 | 7/7 |
| 2024 | All selected publications | 2 | 7 | 7/7 |
| 2025 | All selected publications | 1 | 7 | 7/7 |
| 2026 | All selected publications | 2 | 7 | 7/7 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2016 | 1 |
| 2019 | 1 |
| 2023 | 2 |
| 2024 | 2 |
| 2025 | 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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 4 | 3 | 10 | 4/4 | 0.75 | 0.5 | 50.0 | 4/4 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 2 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
One of the Indonesian government's policies since 2015 has been to increase development through its developed infrastructure, by increasing its budget for this sector from year to year. However, companies listed in the engineering and construction subsector on the Indonesian Stock Exchange, both state-owned enterprises and private companies, experienced losses so it could be said that their financial performance was poor. This study intends to evaluate the financial performance engineering and construction sub-sector companies using the Economic Value Added (EVA), Market Value Added (MVA), Refined Economic Value Added (REVA), Financial Value Added (FVA), and Shareholder Value Added (SVA) in 2018 – 2023 and determine their influence on stock prices. This type of research is quantitative descriptive research using E-Views 12 with a population 26 companies and a sample size 16 companies. Based on the results the calculations and analysis, it stated that EVA, MVA, REVA, FVA, SVA and stock prices engineering and construction companies, both state-owned and private, during the 2018 - 2023 period obtained an average of negative amounts. The research results show that the financial performance variables using value added have an influence on stock prices with influence of 74.57% while the rest is influenced by other variables not examined in this research. Partially only MVA and SVA have an influence on stock prices because based on the probability test using E-Views 12 it appears that only MVA and SVA produce results below the alpha. The suggestion for this research is that company management should pay attention to the company's financial performance, especially the MVA and SVA variables and further researcher can make comparative research between all value-added variables.
Modern retail businesses in Indonesia are growing rapidly thanks to open market opportunities, manufacturing businesses that support product supply, and government support for economic growth through retail development. The purpose of this study is to determine the intrinsic value of shares of companies engaged in the food and staples retail sub-sector which in this case is represented by PT. Sumber Alfaria Trijaya, Tbk. (AMRT), PT. Diamond Food Indonesia, Tbk. (DMND), PT. Midi Utama Indonesia, Tbk. (MIDI), PT. Enseval Putera Megatrading, Tbk. (EPMT), and PT. Millenium Pharmacon Internatioanl, Tbk. (SDPC) listed on the Indonesia Stock Exchange (IDX). This research uses historical data for 2018-2022 which will be used as the basis for projections for 2023-2027. The results showed that by using the Discounted Cash Flow (DCF) method, specifically the Free Cash Flow to Firm (FCFF) approach, under an optimistic scenario, the intrinsic values of AMRT, SDPC, and DMND were undervalued. EPMT and MIDI stocks are overvalued. In the moderate scenario, the intrinsic values of AMRT, MIDI, EPMT, and DMND are overvalued, while SDPC is undervalued. Calculations on a pessimistic scenario, all companies studied are overvalued. In this study, the valuation of stocks was also conducted using the Relative Valuation (RV) method with the Price to Earnings Ratio (PER) and Price to Book Value (PBV) approaches. In an optimistic scenario, the stocks of AMRT, MIDI, and SDPC are considered expensive, while EPMT and DMND are seen cheap. In a moderat scenario, the stocks AMRT, EPMT, and SDPC are considered undervalued, while MIDI and DMND are seen expensive. In a pessimistic scenario, it is observed that AMRT, EPMT, and SDPC are undervalued, whereas MIDI and DMND are considered overvalued. This research aims to provide an objective assessment of the company, which investors can use to consider investments and by companies to enhance corporate value.
Many industrial sectors were severely affected during the pandemic, which lasted from 2020 to 2021. Such indicators can be observed in various companies implementing efficiency measures ranging from cost reduction unrelated to revenue growth to layoff policies. Despite being under pressure due to the pandemic, many industrial subsectors experienced significant growth in the second quarter of 2021, according to statistics from the Ministry of Industry. This study aims to determine the fair value of shares in Industrial Goods companies listed on the Indonesia Stock Exchange. This approach uses a discounted cash flow (DCF) methodology with free cash flow to the company and relative valuation through price-to-earnings and price-to-book ratios. From 2017 to 2021, historical financial data was utilized to forecast future income and expenditure behavior in three scenarios: optimistic, moderate, and pessimistic. The results showed that the DCF-FCFF technique underestimated IMPC, ARNA, and UNTR. MARK is overvalued in pessimistic, moderate, and optimistic scenarios, while MARK is undervalued in optimistic scenarios. HEXA is overvalued in the pessimistic scenario but undervalued in the moderate and optimistic scenario. ARNA and UNTR were overvalued in all relative assessment scenarios using the PER approach, but MARK and HEXA were undervalued. IMPC is undervalued in a gloomy scenario and overpriced in a moderate and optimistic scenario. In all cases, the PBV method overestimates IMPC, ARNA, MARK, HEXA, and UNTR. The study implies that investors should conduct thorough due diligence before making investment decisions, considering company-specific factors and broader market conditions. Companies in the Industrial Goods sector must be ready to adapt to changing market dynamics and prioritize long-term value creation to attract and maintain investor confidence.
<p>In this paper, the author investigated the influence of management decisions like capital structure, dividend policies, remunerations, credit policy decisions and investment decisions on shareholder wealth maximization. The main objective of this paper is to increase awareness and relationship between management and shareholders of the companies. To achieve the objective, portfolio theory, capital asset pricing model and modern financial theory providing evidence on the linkage between management decisions to shareholder’s value. Shareholders are only concerned about the value of shares of the company and the amount of return in the form of dividend paid. Thus in order to meet the demands of the shareholders of the company, managers needs to increase their abilities and skills to overcome the organizational goals. Thus the main goal of this paper is to discuss on the role of management decisions towards increasing shareholder’s wealth and meet organizational goals.</p>
This paper seeks to evaluate proficient perceptions within business assessments in South Africa, where such perceptions play a significant role in the evaluation process, encompassing the selection of standards and the establishment of evaluation frameworks. The evolving economy of South Africa is marked by fluctuating economic circumstances and potential growth, compounded by inadequate benchmarks and a scarcity of relevant market information. Forecasting growth rates are further complicated by macroeconomic uncertainties, leading to a reliance on proficient perceptions when industry-specific guidelines and easily comprehensible alternatives to the Capital Asset Pricing Model (CAPM) are lacking. A mixed-methods strategy is employed in this study, combining quantitative and qualitative data, along with surveys set benchmarks for business assessments. The outcomes reveal that modifications based on judgment are necessary for variables like organizational size due to the absence of CAPM alternatives. This study stresses the importance of translating scholarly discoveries into practical applications, emphasizing the challenges and uncertainties that call for proficient perceptions in business evaluations. It advances the comprehension of these obstacles and proposes that further exploring macroeconomic variables and industry-specific guidelines could offer valuable insights. The study suggests that biases in evaluations, influenced by client interests, present a promising area for future inquiry.
The sustainable growth rate of a firm's earnings and dividends is a critical component in the majority of prominent equity asset valuation models. The sustainable growth rate serves as an estimated proxy for a firm's long-term growth rate in earnings and dividends. The sustainable growth rate of a firm represents the maximum achievable and maintainable rates of earnings and dividend growth without resorting to external financing, assuming a constant capital structure and no introduction of new equity. The sustainable growth rate of a firm is characterised as the growth rate in dividends and earnings that can be maintained given a specific return on equity (ROE) and retention rate, provided that no new equity is issued and the capital structure remains constant. This paper presents a derived, discussed, and tested model for an alternative sustainable earnings growth rate, utilising the firm's current earnings per share (EPS), long-term book value per share (BVPS), and earnings retention rate. The model indicates that the firm can enhance its long-term growth rate by increasing its earnings per share (EPS) and retention rate, thereby augmenting its internal equity for financing growth opportunities.
One of the Indonesian government's policies since 2015 has been to increase development through its developed infrastructure, by increasing its budget for this sector from year to year. However, companies listed in the engineering and construction subsector on the Indonesian Stock Exchange, both state-owned enterprises and private companies, experienced losses so it could be said that their financial performance was poor. This study intends to evaluate the financial performance engineering and construction sub-sector companies using the Economic Value Added (EVA), Market Value Added (MVA), Refined Economic Value Added (REVA), Financial Value Added (FVA), and Shareholder Value Added (SVA) in 2018 – 2023 and determine their influence on stock prices. This type of research is quantitative descriptive research using E-Views 12 with a population 26 companies and a sample size 16 companies. Based on the results the calculations and analysis, it stated that EVA, MVA, REVA, FVA, SVA and stock prices engineering and construction companies, both state-owned and private, during the 2018 - 2023 period obtained an average of negative amounts. The research results show that the financial performance variables using value added have an influence on stock prices with influence of 74.57% while the rest is influenced by other variables not examined in this research. Partially only MVA and SVA have an influence on stock prices because based on the probability test using E-Views 12 it appears that only MVA and SVA produce results below the alpha. The suggestion for this research is that company management should pay attention to the company's financial performance, especially the MVA and SVA variables and further researcher can make comparative research between all value-added variables.
This paper seeks to evaluate proficient perceptions within business assessments in South Africa, where such perceptions play a significant role in the evaluation process, encompassing the selection of standards and the establishment of evaluation frameworks. The evolving economy of South Africa is marked by fluctuating economic circumstances and potential growth, compounded by inadequate benchmarks and a scarcity of relevant market information. Forecasting growth rates are further complicated by macroeconomic uncertainties, leading to a reliance on proficient perceptions when industry-specific guidelines and easily comprehensible alternatives to the Capital Asset Pricing Model (CAPM) are lacking. A mixed-methods strategy is employed in this study, combining quantitative and qualitative data, along with surveys set benchmarks for business assessments. The outcomes reveal that modifications based on judgment are necessary for variables like organizational size due to the absence of CAPM alternatives. This study stresses the importance of translating scholarly discoveries into practical applications, emphasizing the challenges and uncertainties that call for proficient perceptions in business evaluations. It advances the comprehension of these obstacles and proposes that further exploring macroeconomic variables and industry-specific guidelines could offer valuable insights. The study suggests that biases in evaluations, influenced by client interests, present a promising area for future inquiry.
Modern retail businesses in Indonesia are growing rapidly thanks to open market opportunities, manufacturing businesses that support product supply, and government support for economic growth through retail development. The purpose of this study is to determine the intrinsic value of shares of companies engaged in the food and staples retail sub-sector which in this case is represented by PT. Sumber Alfaria Trijaya, Tbk. (AMRT), PT. Diamond Food Indonesia, Tbk. (DMND), PT. Midi Utama Indonesia, Tbk. (MIDI), PT. Enseval Putera Megatrading, Tbk. (EPMT), and PT. Millenium Pharmacon Internatioanl, Tbk. (SDPC) listed on the Indonesia Stock Exchange (IDX). This research uses historical data for 2018-2022 which will be used as the basis for projections for 2023-2027. The results showed that by using the Discounted Cash Flow (DCF) method, specifically the Free Cash Flow to Firm (FCFF) approach, under an optimistic scenario, the intrinsic values of AMRT, SDPC, and DMND were undervalued. EPMT and MIDI stocks are overvalued. In the moderate scenario, the intrinsic values of AMRT, MIDI, EPMT, and DMND are overvalued, while SDPC is undervalued. Calculations on a pessimistic scenario, all companies studied are overvalued. In this study, the valuation of stocks was also conducted using the Relative Valuation (RV) method with the Price to Earnings Ratio (PER) and Price to Book Value (PBV) approaches. In an optimistic scenario, the stocks of AMRT, MIDI, and SDPC are considered expensive, while EPMT and DMND are seen cheap. In a moderat scenario, the stocks AMRT, EPMT, and SDPC are considered undervalued, while MIDI and DMND are seen expensive. In a pessimistic scenario, it is observed that AMRT, EPMT, and SDPC are undervalued, whereas MIDI and DMND are considered overvalued. This research aims to provide an objective assessment of the company, which investors can use to consider investments and by companies to enhance corporate value.
Many industrial sectors were severely affected during the pandemic, which lasted from 2020 to 2021. Such indicators can be observed in various companies implementing efficiency measures ranging from cost reduction unrelated to revenue growth to layoff policies. Despite being under pressure due to the pandemic, many industrial subsectors experienced significant growth in the second quarter of 2021, according to statistics from the Ministry of Industry. This study aims to determine the fair value of shares in Industrial Goods companies listed on the Indonesia Stock Exchange. This approach uses a discounted cash flow (DCF) methodology with free cash flow to the company and relative valuation through price-to-earnings and price-to-book ratios. From 2017 to 2021, historical financial data was utilized to forecast future income and expenditure behavior in three scenarios: optimistic, moderate, and pessimistic. The results showed that the DCF-FCFF technique underestimated IMPC, ARNA, and UNTR. MARK is overvalued in pessimistic, moderate, and optimistic scenarios, while MARK is undervalued in optimistic scenarios. HEXA is overvalued in the pessimistic scenario but undervalued in the moderate and optimistic scenario. ARNA and UNTR were overvalued in all relative assessment scenarios using the PER approach, but MARK and HEXA were undervalued. IMPC is undervalued in a gloomy scenario and overpriced in a moderate and optimistic scenario. In all cases, the PBV method overestimates IMPC, ARNA, MARK, HEXA, and UNTR. The study implies that investors should conduct thorough due diligence before making investment decisions, considering company-specific factors and broader market conditions. Companies in the Industrial Goods sector must be ready to adapt to changing market dynamics and prioritize long-term value creation to attract and maintain investor confidence.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |