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INDEXED PUBLICATIONS2
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS1.5

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

Research collection

2 publications

JOURNAL ARTICLE

Financial performance mediates the relationship of intellectual capital to firm value in Indonesian banking companies

Sigit Hermawan · Nisfatur Rokhmania · Ruci Arizanda Rahayu · Iffah Qonitah

International Journal of Research in Business and Social Science · 2021

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This study was conducted to seek the consistency of the results of previous studies on the influence of Intellectual Capital, with the mediation of financial performance, on the value of banking firms. The quantitative research method used the PLS-SEM analysis technique by using the Smart PLS 3 application. The research subjects were 45 banks listed on the IDX for the period 2015-2019. The sampling technique used was purposive sampling. The results showed the consistency of the financial performance of banking companies with ROE and ROA indicators as mediating variables between Intellectual Capital as the dependent variable on the value of conventional banking companies using PER indicator as an independent variable. The type of mediation formed in the PLS-SEM equation model is partial mediation.

DOI 10.20525/ijrbs.v10i6.13451 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Intellectual Capital and Its Disclosure on Firm Value

I Nyoman Wijana Asmara Putra · Ni Made Dwi Ratnadi

International Journal of Finance & Banking Studies · 2021

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Intangible assets, such as information, are becoming increasingly essential to companies. Intellectual capital is another term for knowledge assets. The aim of this study is to find empirical evidence of the influence of intellectual capital and intellectual capital disclosure on firm valuation, as well as to identify the types of disclosures made by the banking industry listed on the Indonesia Stock Exchange from 2015-2019. The data used in the analysis were secondary data from annual reports. A six-way numerical coding scheme determines the disclosure item index. With 36 disclosure objects, the disclosure categories are divided into three categories: structural capital, human capital, and external capital. Content analysis and multiple linear regression are two data analysis methods. The results of the analysis show that an average of 49.91 percent is expressed in the form of a narrative, 16.44 percent is in the form of a combination of qualitative and quantitative, 7.53 percent is in the form of numbers and 1.44 items are expressed in the form of monetary units (rupiah). Meanwhile, an average of 24.33 percent of items of disclosure were not disclosed. Intellectual capital disclosure has a positive impact on firm value, while intellectual capital has no impact. According to research, investors in the banking industry consider intellectual capital disclosure when making investments.

DOI 10.20525/ijfbs.v10i1.11082 Crossref citations6 OpenAlex citations