The Financial Valuation of Intangibles

Author(s):  
A. Rodríguez-Castellanos

This chapter proposes a method for the financial valuation of intangibles based on a specific taxonomy that distinguishes between intangible assets and core competencies, while classifying the latter into (tangible or intangible) asset-driven core competencies and non-asset driven core competencies. These are in turn classified according to the intellectual capital categories they drive. The method proposed is based on the assumption that the value of a company’s intangibles is to be found essentially in its core competencies. Financial valuation models based largely on the cash flow generated by the company and on real options valuation are proposed as a means of identifying and quantifying a company’s intangibles in monetary terms, taking the earnings they are capable of generating into account. This method is suitable for valuing the intangibles of large companies and smaller businesses where large databases are not available.

2021 ◽  
Vol 07 (01) ◽  
Author(s):  
Setyo Budi Hartono ◽  
◽  
Wahab Zaenuri ◽  
Fania Mutiara Savitri ◽  
Dessy Noor Farida ◽  
...  

Abstrak: Penelitian ini ditujukan pada anggaran dalam bentuk intangible asset (sumber daya manusia) dan tangible asset (aset tetap dan persediaan) yang diprediksi dapat mempengaruhi intellectual capital, kinerja keuangan sekarang dan mendatang, serta indikator kinerja utama. Alokasi anggaran sebagai baromater prioritas dalam mengembangkan intellectual capital ditujukan untuk memenuhi performa keuangan bagi indikator kinerja utama organisasi. Populasi yang juga menjadi sampel yaitu unit dan fakultas pada UIN Walisongo Semarang sebanyak 30 unit. Metode pengambilan sampling menggunakan teknik sampel jenuh yang mengambil seluruh populasi. Data yang digunakan adalah data sekunder berupa laporan tahunan dan laporan pencapaian indikator kinerja utama tahun 2019-2020. Analisis data menggunakan path analysis. Hasil penelitian ini adalah alokasi APBN tahun 2019 UIN Walisongo hanya terfokus pada tangible asset sebesar 82%, sementara 18% dialokasikan untuk intangible asset. Intangible asset tidak berpengaruh secara terhadap semua hubungan, hanya tangible asset saja yang dapat mempengaruhi intellectual capital secara langsung dan kinerja keuangan sekarang secara tidak langsung. Berdasarkan hasil penelitian ini menunjukkan perlu dilakukan audit sumber daya manusia sehingga dapat ditetapkan alokasi kebutuhan anggaran bagi intangible asset-nya. Abstract: This research is aimed at the budget in the form of intangible assets (human resources) and fixed assets and inventories that are predicted to affect intellectual capital, current and future financial performance, as well as key performance indicators. Budget allocation as a priority barometer in developing intellectual capital is aimed at meeting financial performance for the organization's main performance indicators. The population that is also a sample is 30 units and architecture at UIN Walisongo Semarang. The sampling method uses a saturated sample technique that takes the entire population. The data used is secondary data in the form of annual reports and performance indicator reports for 2019-2020. Data analysis using path analysis. The results of this study were that the 2019 State Budget allocation of UIN Walisongo only focused on tangible assets by 82%, while 18% was allocated for intangible assets. Intangible assets do not affect all relationships, only tangible assets can directly affect intellectual capital and current financial performance indirectly. Results Based on this research, it is necessary to conduct an audit of human resources so that they can determine the allocation of budget requirements for intangible assets.


2015 ◽  
Author(s):  
Marie Lambert ◽  
Manuel Moreno ◽  
Federico Platania

Author(s):  
Helena Garbarino ◽  
Bruno Delgado ◽  
José Carrillo

This chapter presents a taxonomy of IT intangible asset indicators for Public Administration, relating the indicators to the Electronic Government Maturity Model proposed by the Uruguayan Agency for Electronic Government and Information Society. Indicators are categorized according to a consolidated intellectual capital model. The Taxonomy is mapped at the indicator level against the EGMM subareas covering all of the relevant aspects associated with the intangible IT assets of the Public Administration in Uruguay. The main challenges and future lines of work for building a consolidated maturity model of IT intangible assets in Public Administration are also presented.


2019 ◽  
Author(s):  
Fransiscus Pratikto ◽  
Sapto Indratno ◽  
Kadarsah Suryadi ◽  
Djoko Santoso

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