MétaCan
Menu
Back to cohort
Record W1494502303

Pengaruh Intellectual Capital terhadap Kinerja Perusahaan (Studi Empiris pada Perusahaan Sektor Keuangan yang Terdaftar di BEI Periode 2011-2013)

2015· article· id· W1494502303 on OpenAlex
Andika Yos Sudarso

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Ilmiah Universitas Bakrie · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk memperoleh bukti empiris mengenai pengaruh Intellectual Capital terhadap kinerja perusahaan sektor keuangan di Bursa Efek Indonesia (BEI). Intellctual Capital dalam penelitian ini menggunakan model Pulic ( Value Added Intellectual Capital – VAIC TM ) yang mengukur tiga komponen Intellectual Capital, yaitu capital employed, human capital dan structural capital , serta Tingkat Pertumbuhan Intellctual Capital (ROGIC). Kinerja perusahaan dalam penelitian ini diukur dengan Return on Equity (ROE) dan Net Profit Margin (NPM). Sampel dipilih dengan metode purposive sampling setiap tahun selama tahun 2011 sampai dengan tahun 2013 sehingga diperoleh 153 sampel. Hipotesis pada penelitian ini diuji dengan analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa capital employed terbukti berpengaruh positif terhadap kinerja keuangan yang diproksikan oleh ROE, namun tidak berpengaruh terhadap NPM. Human capital terbukti berpengaruh positif terhadap kinerja perusahaan, baik ROE maupun NPM. Structural capital juga terbukti berpengaruh positif terhadap kinerja perusahaan. Sedangkan, ROGIC terbukti tidak berpengaruh terhadap kinerja perusahaan. Pengungkapan Intellectual Capital yang masih rendah dan belum adanya standar terkait pengukuran dan pengungkapan Intellectual Capital di Indonesia menyebabkan masyarakat atau investor belum mampu membuat penilaian yang tepat atas ROGIC. Kata Kunci:  Intellectual Capital , Value Added Intellectual Capital (VAIC TM ), Capital Employed, Human Capital, Structural Capital , Rate of Growth of Intellctual Capital (ROGIC) . Return on Equity (ROE), Net Profit Margin (NPM). The study aims to obtain empirical evidence about the impact of Intellectual Capital on company’s performance of the financial sector in Indonesia Stock Market. Intellectual Capital in this study using Pulic Model ( Value Added Intellectual Capital – VAIC TM ) that measures three components of Intellectual Capital: capital employed, human capital and structural capital , and also Rate of Growth of Intellctual Capital (ROGIC). Company’s performance in this study is measured by Return on Equity (ROE) and Net Profit Margin (NPM) . Samples were selected by purposive sampling method using yearly data during 2011 to 2013 in order to obtain 153 samples. The hypothesis in this study were tested by multiple linear regression method. The results show that the capital employed have positive impact on company’s performance on ROE, but have no impact  on NPM. Human capital have positive impact on the company’s performance, both ROE and NPM. Structural capital also have positive impact on company’s performance. While ROGIC have no impact on company’s performance. Disclosure of Intellectual Capital is still low and there is no standard of measurement and disclosures related to Intellectual Capital in Indonesia caused the community or the investors have not been able to make a proper assessment on ROGIC Key Words: Intellectual Capital , Value Added Intellectual Capital (VAIC TM ), Capital Employed, Human Capital, Structural Capital , Rate of Growth of Intellctual Capital (ROGIC) . Return on Equity (ROE), Net Profit Margin (NPM) DAFTAR PUSTAKA Ali-Ali, N. (2003). Comprehensive Intellectual Capital Management (Step-by-Step). Canada: John Wiley and Sons, Inc. Alexandri, M.B. (2008). Manajemen Keuangan Bisnis . Bandung: Alfabeta. Ashari, P.B.S. (2005). Analisis Statistic dengan Microsoft exel dan SPSS. Jakarta: Salemba Empat. Azhar, Susanto. (2007). Sistem Informasi Akuntansi. Jakarta: T. Lingga Jaya. Barney, J.B. (1991). Firm resources and sustainable competitive advantage; Jurnal of Management , Vol 17 No 1, pp 99-120. Bollen, L., Vergauwen, P., & Schineders, S. (2005). Linking Intellectual Capital and Intellectual Property to Company Performance. Management Decision , Vol 43, No.9, pp 1161-1185. Bontis, N. (1998). Intellectual Capital : an Explaratory Study that Develops Measures and Models. Management Decision . Vol 36, No. 2, pp 63-76. Bontis, N., Willian, C.C.K., & Stanlet, R. (2000). Intellectual Capital and Business Performance in Malaysian Industries. Journal of Intellectual Capital , Vol.1, No. 1, pp 85-100. Bukh, P.N. (2005). Disclosure of Information on Intellectual Capital in Danish IPO Prospectuses. Accounting Auditing & Accountability Journal, Vol. 18 No. 6, pp 713-732. Cohen, S., & Kaimenakis, N. (2007). Intellectual Capital and Corporate Performance in Knowledge-Intensive SMEs, The Learning Organization. Vol 14, No.3, pp 241-262. Deegan, C. (2004). Financial Accounting Theory . Sydney: Mc Graw-Hill Book Company. European Commission (2000b). Towards a European Research Area, Communication from the Commission to the Council, the European Parliament, the Social Council, the Economic and Social Committee of the Regions. Mimeo: Author. El-Bannany. (2008). A study of determinants of intellectual capital performance in banks: the UK case. Journal of Intellectual Capital, Vol. 9, No. 3, pp 487-498. Fajarini, S.W., Indah., & Firmansyah, R. (2012). Pengaruh Intellectual Capital Terhadap Kinerja Keuangan Perusahaan (Studi Empiris Perusahaan LQ45). Jurnal Dinamika Akuntansi , Vol. 4, No.1, pp 1-12. Firer, S., & Williams, S.M. (2003). Intellectual capital and traditional measures of corporate performance. Journal of Intellectual Capital , Vol.4, No. 3, pp 348-360. Ghozali, I. (2006). Analisis Multivariate dengan Program SPSS . Semarang: Badan Penerbit Universitas Diponegoro. Ghozali, I. (2009). Aplikasi Analisis Multivariate Dengan Program SPSS (4th ed). Semarang: Penerbit Universitas Diponegoro. Ghozali, I., & Chariri, (2007). Teori Akuntansi . Semarang: Badan Penerbit Undip. Gitman, Lawrence, J., & Chad, J.Z. (2012). Principle of Management Finance . England: Publisher Pearson. Hong, P.T., Plowman, D. & Hancock, P. (2007). Intellectual Capital and Financial Returns of Companies. Journal of Intellectual Capital . Vol. 8, No.1, pp 76-95. Husnan, S.  (2002). Dasar-dasar Teori Portofolio dan Analisis Sekuritas (2nd ed). Yogyakarta: UPP-AMP YKPN. Husnan, S., & Pudjiastutik, E. (2002). Dasar-dasar Manajemen Keuangan. Yogyakarta: UPP-AMP YKPN. Kuryanto, B., & Safruddin, M. (2008). Pengaruh Modal Intelektual terhadap Kinerja Perusahaan. Makalah Disampaikan dalam Simposium Nasional Akuntansi XI , Pontianak: 23 - 24 Juli 2008. Universitas Tanjung Pura Pontianak. Mar, B., & Chatzkel, J. (2004). Intellectual Capital at the Crossroads: managing, measuring and reporting of IC. Journal of Intellectual Capital , Vol. 5, No. 2, pp 224-239. Margaretha, F., & Rakhman, A. (2006). Analisis Pengaruh Intellectual Capital terhadap Market Value dan Financial Performance Perusahaan dengan Metode Value Added Intellectual Capital. Jurnal Bisnis dan Akuntansi , Vol. 8, No. 2. Priyatno, D. (2012). Cara kilat belajar Analisa Data dengan SPSS 20 . Yogyakarta: ANDI. Pulic, A. (1998). Measuring the Performance of Intellectual Potential in Knowledge Economy. Paper presented at the 2nd McMaster Word Congress on Measuring and Managing Intellectual Capital by the Austrian Team for Intellectual Potential . Rehman, Wasim ul, et al . (2011). Intellectual Capital Performance and Its Impact on Corporate Performance: An Empirical Evidence from Modaraba Sector of Pakistan. Australian Journal of Business and Management Research , Vol. I, No.5, pp 8-16. Riahi, B.A. (2003). Intellectual Capital and Firm Performance of US Multinational Firms: A Study of the Resource Based and Stakeholder Views. Journal of Intellectual Capital. Vol. 4, No. 2, pp 215-226. Sawarjuwono, T., & Agustine, P.K. (2003). Intellectual Capital: Perlakuan, Pengukuran dan Pelaporan (Sebuah Library Research). Jurnal Akuntansi dan Keuangan , Vol. 5, No. 1, pp 31-51. Sekaran, U., & Bougie, R. (2010). Research Methods for Business 5 th edition: A Skill Building Approach. United Kingdom: John Wiley & Sons Ltd. Seleim, A., & Khalil, O. (2007). Pengetahuan Management and Organizationa Performance in the Egyptian Software Firms. International Journal of Pengetahuan Management , Vol. 3. No. 4, pp 37-66. Solikhah, B., Rohman, A., & Meiranto, W. (2010). Implikasi Intellectual Capital Performance, Growth dan Market Value; Studi Empiris dengan Pendekatan Simplistic Specification. Simposium Nasional Akuntansi XIII Purwokerto, pp 1-29. Subramanyam, K.R., & Wild, John J. (2009). Financial Statement Analysis (10 th ed). Singapore: McGraw-Hill Education (Asia). Stephen, A., Ross, R.W., & Westerfield, J.J. (2005). Corporate Finance (7th ed). Canada: The MCA Praw-Hill. Sveiby, K.E. (2001). A Knowledge Theory of The Firm to Guide in Strategy Formulation. Journal of Intellectual Capital , Vol.2, pp 344-358. Syamsuddin, L. (2001). Manajemen Keuangan Perusahaan. Jakarta: PT. Raja Grafindo Persada. Tan, H.P., Plowman, D., & Hancock, P. (2007). Intellectual Capital and Financial Returns of companies. Journal of Intellectual Capital , Vol.8, No.1, pp 76-95. Ulum, I., Gozhali, I., & Chariri, A. (2008). “ Intellectual Capital dan Kinerja Keuangan Perusahaan: Suatu Analisis dengan Pendekatan Partial Least Squares” . Simposium Nasional Akuntansi XI . Pontianak: 23 - 24 Juli 2008, Universitas Tanjung Pura Pontianak. Ulum, I. (2009). Intellectual Capital : Konsep dan Kajian Empiris). Yogyakarta: Graha Ilmu. Wiradinata, & Siregar. (2011). Pengaruh Modal Intelektual Terhadap Kinerja Keuangan Pada Perusahaan Sektor Keuangan Yang Terdaftar Di Bursa Efek Indonesia. Jurnal Akuntansi & Manajemen , Vol. 22, No. 2, pp 107-124. Yuniasih, N. W., Wirama, D.G.,  & Badera, I.D.N. (2010). Eksplorasi kinerja pasar perusahaan: Kajian berdasarkan modal intelektual. Simposium Nasional Akuntansi 13 , Purwokerto .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.005
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.015

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.219
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it