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Record W3199063268 · doi:10.46806/ja.v9i2.762

PENGARUH LEVEL DIVERSIFIKASI, JUMLAH SEGMEN, DAN JENIS SEKTOR INDUSTRI TERHADAP KINERJA PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2016 – 2018

2020· article· en· W3199063268 on OpenAlexaboutno aff
Felicia Felicia, Rizka Indri Arfianti

Bibliographic record

VenueJurnal Akuntansi · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDiversification (marketing strategy)BusinessBusiness administrationStock exchangeCompetitor analysisVariablesSecondary sector of the economyEconomicsEconomyMarketingFinanceMathematicsStatistics

Abstract

fetched live from OpenAlex

The high competition in the business world with many competitors has forced the company to develop its business, one of them by diversification. This study aims to investigate the influence of diversification level, segment numbers, and industrial sector types on firm performance measured by the excess value. The theory underlying this research is agency theory, which describes the relationship between the company owner with the company management, The number of samples of this study are 333 companies from miscellaneous industry sector, and consumer goods sector, and basic industry and chemicals sector listed on the Indonesia Stock Exchange throughout 2017 – 2018. The results showed that data can be pooled for 3 years, all classic assumption tests are fulfilled, and partial regression coefficient test found that variable diversification level and variable number of segments > 0.05, then Ho1 and Ho2 rejected, while type of miscellaneous industry sector and Type of consumer goods sector <0.05, then Ho3 and Ho4 received. The conclusion showed that variable diversification level and variable number of segments has not sufficient evidence of negative effect on excess value, while type of miscellaneous industry sector and Type of consumer goods sector sufficient evidence of negative effect on excess value. Keywords: Firm Performance, Diversification Level, Number of Segments, and Industrial Sector. References: Amyulianthy, R., & Nuraini, Sari. (2013), “Pengaruh Diversifikasi Terhadap Kinerja Perusahaan”, Binus Business Review, Vol.4, no.1, pp.215–230. Berger, P. G., & Eli, O. (1995), “Diversification’s Effect on Firm Value”, Journal of Financial Economics, Vol.37, pp.39–65. Bowerman, B. L., O’Connell, R. T., & Murphree, E. S. (1979), Business Statistics in Practice, Edisi 7, New York: McGraw-Hill/Irwin. Chandra, D., & Triyani, Y. (2015), “Pengaruh Level Diversifikasi, Leverage, Return On Asset, Umur Perusahaan, Dan Sektor Industri Terhadap Nilai Perusahaan Yang Terdaftar Di BEI Periode 2009-2011”, Jurnal Akuntansi Manajemen, Vol.4, no.2, pp.66–84. Cooper, D. R., & Schindler, P. S. (2013), Business Research Methods, Edisi 12, New York: McGraw-Hill. 'Diversifikasi Usaha, Unilever Masuk Bisnis Saus Sambal' (2018), CNBC Indonesia, 28 September, diakses 9 Oktober 2019, https://www.cnbcindonesia.com/market/20180928100757-17-35152/diversifikasi-usaha-unilever-masuk-bisnis-saus-sambal Ghozali, I. (2013), Aplikasi Analisis Multivariette Dengan Program IBM SPSS 23, Edisi 8, Semarang: Badan Penerbit Universitas Diponegoro. Gujarati, D., & Dawn, P. (2009), Basic Econometrics, Edisi 4, New York: McGraw-Hill. Harto, P. (2005), “Kebijakan Diversifikasi Perusahaan Dan Pengaruhnya Terhadap Kinerja: Studi Empiris Pada Perusahaan Publik Di Indonesia”, SNA VIII Solo, pp.297-307. Ikatan Akuntan Indonesia (2014), Standar Akuntansi Keuangan, Jakarta: Salemba Empat. Jensen, M. C., & William, H. M. (1976), "Theory of The Firm: Managerial Behavior, Agency Cost and Ownership Structure", Journal of Financial Economic, Vol.3, No.4, pp.1-75. Kamus Besar Bahasa Indonesia. 2014. “Kamus Besar Bahasa Indonesia Online”, diakses 5 Oktober 2019 http://www.kbbi.web.id. Kieso, D. E., Weygandt, J. J., & Warfield, T. D. (2016), Intermediate Accounting, Edisi 16, John Wiley and Sons, Inc. Lucyanda, J., & Wardhani, R. H. K. (2017), “Pengaruh Diversifikasi Dan Karakteristik Perusahaan Terhadap Kinerja Perusahaan”, Jurnal Riset Akuntansi dan Keuangan. Montgomery, Cynthia A. (1994), Corporate Diversification, Journal of Economic Perspectives, Vol.8, No.3, pp.163-178. Rani, P. (2015). “Peran Kepemilikan Manajerial Dalam Memoderasi Pengaruh Strategi Diversifikasi Terhadap Kinerja Perusahaan”, Jurnal Akuntansi dan Keuangan, Vol.4, no.2, pp.162–82. Salindeho, A. O., Ivonne, S. S., & Joubert, B. M. (2018), “Pengaruh Diversifikasi Usaha Terhadap Kinerja Keuangan Dan Return Saham Study Kasus Pada Perusahaan Manufaktur Automotive and Effect of Business Diversification of Financial Performance and Return Stock Case Stock in Automotive and Component Manufacturing”, Jurnal Riset Akuntansi dan Keuangan, Vol.6, no.3, pp.1078–87. Sari, I. A., Wiratno, A., & Suyono, E. (2014), “Pengaruh Strategi Diversifikasi Dan Karakteristik Perusahaan Terhadap Kinerja Perusahaan”, JAFFA (Journal of Auditing, Finance, and Forensic Accounting), Vol.02, no.1, pp.13–22. Scott, W. R. (2015), Financial Accounting Theory, Edisi 7, Toronto: Pearson Canada Inc. Setionoputri, A., Meiden, C., & Siagian, D. (2007), “Pengaruh Diversifikasi Korporat Terhadap Excess Value Perusahaan Manufaktur, Perdagangan Grosir Dan Eceran, Serta Properti Dan Real Estate Yang Terdaftar Di BEI Tahun 2005-2007” Bidang Akuntansi Private: Akuntansi Keuangan dan Pasar Modal, pp.1–25. Satoto, S. S. (2009), “Strategi Diversifikasi Terhadap Kinerja Perusahaan”, Jurnal Keuangan dan Perbankan, Vol.13, no.2, pp.280–287. Spence, M. (2002), “Signaling in Retrospect and the Informational Structure of Markets”, American Economic Review, Vol.92, no.3, pp.434–459. Thompson, A. J. G., & Peteraf, M. (2012), Crafting and Executing Strategy: Concept and Cases, Edisi 18, New York: McGraw Hill. Virginia, Y. M., & Ratnasih, C. (2017), “Pengaruh Lingkungan Kerja Dan Stres Kerja Terhadap Produktivitas Kerja Dan Berimplikasi Pada Kinerja Karyawan”, Journal of Chemical Information and Modeling, Vol.53, no.9, pp.1689–99. Wolk, H. I., Dodd, J. L., & Tearney, M. G. (2003), Accounting Theory: Conceptual Issues in a Political and Economic Environment, Edisi 6, Mason: South-Western College Pub.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.040
GPT teacher head0.198
Teacher spread0.159 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
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