scholarly journals A Data Envelopment Analysis Approach to Performance Efficiency of Intellectual Capital – Case of Titan Company Limited#

2018 ◽  
Vol 9 (2) ◽  
pp. 1 ◽  
Author(s):  
Deepa Venugopal ◽  
S. Thirupparkadal Nambi ◽  
Lakshmanan M.
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Efficiency Analysis ◽  
Efficiency Score ◽  
Annual Reports ◽  
Data Envelopment ◽  
Limited Data ◽  
Company Limited ◽  
Financial Performance Measures

<p>The purpose of this paper is to value the Performance efficiency of Intellectual Capital (IC) on Financial performance indicators of Titan Company Limited. Data required for analysis were collected from the Annual reports of the company for a period of twenty years. This study uses a DEA – CCR – Output Model which consist of intellectual capital indices as input and financial performance measures as output. Results of the efficiency analysis reveals that of the 20 years studied, only 6 years (2007, 2011, 2012, 2013, 2015, and 2016) were found to be the best performing years in terms of harnessing the goodness of intellectual capital. Some years were very close to perfect efficiency score of one, but the rest of the years showed very poor utilisation of intellectual capital to impact financial performance.</p>

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

ALOKASI ANGGARAN, INTELLECTUAL CAPITAL, KINERJA KEUANGAN, DAN INDIKATOR KINERJA UTAMA BADAN LAYANAN UMUM

2021 ◽  
Vol 07 (01) ◽  
Author(s):  
Setyo Budi Hartono ◽  
◽  
Wahab Zaenuri ◽  
Fania Mutiara Savitri ◽  
Dessy Noor Farida ◽  
...  
Keyword(s):  
Human Resources ◽  
Financial Performance ◽  
Path Analysis ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Intangible Assets ◽  
Budget Allocation ◽  
Intangible Asset ◽  
Tangible Assets ◽  
Tangible Asset

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.

A Production Approach to Performance of Banks with Microfinance Operations

2014 ◽  
Vol 6 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Emilyn Cabanda ◽  
Eleanor C. Domingo
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Measures ◽  
Negative Relationship ◽  
The Philippines ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Production Frontier ◽  
Financial Performance Measures ◽  
Production Approach

Banking institutions, nowadays, serve as intermediaries of funds to a variety of clients, including the micro enterprisers. This study analyzes and measures the performance of rural and thrift banks with microfinance operations in the Philippines, using combined measures of data envelopment analysis and traditional financial performance indicators. Data envelopment analysis (DEA) method is employed to measure the productive efficiency of these banks under the production approach. The variable returns to scale is also used, with the assumption that not all banks are operating at optimal scale over the long-run period. DEA findings reveal that sample banks performed below the production frontier. The average technical efficiency score of these banks is 66.09% and additional 33.91% is needed to reach the production frontier. Overall, thrift banks are found to be more productively efficient than rural banks as depository banks. The authors have also found a strong relationship between financial performance measures and bank's productive efficiency. For thrift banks, sustainability, ROE and ROA measures showed a statistically significant positive correlation to the banks' productive efficiency while a negative relationship was observed in rural banks. Lastly, the authors can suggest that both DEA's productive efficiency and financial performance measures are consistently and strongly correlated when evaluating the overall performance of banks with microfinance operations.

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

scholarly journals The Relationship Between Intellectual Capital and Financial Performance of Banks in Tanzania

2016 ◽  
Vol 7 (1) ◽  
pp. 28
Author(s):  
Janeth N. Isanzu
Keyword(s):  
Human Capital ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Data Set ◽  
Capital Efficiency ◽  
Period Data ◽  
Relationship Of ◽  
The Relationship ◽  
Efficiency Indicators

This study examines intellectual capital (IC) performance of banks operating in Tanzania,and investigates the relationship of IC on financial performance. It identifies the IC componentsthat may be the drivers of the traditional indicators of bank success. The study uses the ValueAdded of Intellectual Coefficient VAIC™ methodology, to measure the Intellectual Capitalefficiency of the Banks using a four years period data set from 2010 to 2013. The results of asurvey, show that intellectual capital performance of Tanzania is low and it is positively associatedwith bank financial performance indicators. However, when VAIC is split into its components, therelationships between these components and bank financial performance indicators vary. Threevalue efficiency indicators, Human Capital Efficiency (HCE), Capital Employed Efficiency (CEE) andStructural Capital Efficiency (SCE) which are the components of VAIC™ ratio, were used in theanalysis.

scholarly journals Data envelopment analysis in measuring the efficiency of volleyball teams in Primorsko-Goranska County

2020 ◽  
Vol 8 (1) ◽  
pp. 121-134
Author(s):  
Jelena Jardas Antonić ◽  
Kristina Kregar ◽  
Nenad Vretenar
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Efficiency Score ◽  
Financial Resources ◽  
Data Envelopment ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Dea Models ◽  
Sport Organisation ◽  
Ccr Model

Every sport organisation strives to evaluate its performance: its weaknesses and strengths. Measuring efficiency and sports are two interrelated concepts and it is not surprising that most of the research on sports is focused on analysing the efficiency of teams according to player techniques, attack and defence efficiency. However, there are very few studies based on the analysis of financial factors such as teams’ revenue and costs. In this paper two Data Envelopment Analysis (DEA) models were used to evaluate 16 young cadet volleyball teams in Primorsko-Goranska County based on two economic inputs. The paper aims to explain the importance of teams’ financial resources in achieving sports efficiency. To analyse the relative efficiency of teams, two frequently used models are employed, the Banker Charnes Cooper (BCC) and the Charnes Cooper Rhodes (CCR) model. In the end, a super efficiency analysis was conducted to make a distinction in efficiency scores between efficient units. Analyses showed that financial factors are not crucial factors for efficiency score and gave possibility to use obtained results and improve the performance of inefficient volleyball teams. The study was conducted on a sample of 16 teams through 4 inputs and 1 output collected during 2017/2018 season.

scholarly journals INTENSITAS RESEARCH AND DEVELOPMENT, GOODWILL, INTELLECTUAL CAPITAL DAN PERFORMA FINANSIAL SEBAGAI PENENTU NILAI PERUSAHAAN

2021 ◽  
Vol 1 ◽  
pp. 296-306
Author(s):  
Ellen Monata Wahono ◽  
Shinta Permata Sari
Keyword(s):  
Research And Development ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Firm Value ◽  
Stock Exchange ◽  
Total Sample ◽  
Annual Reports ◽  
Manufacturing Companies ◽  
Fierce Competition ◽  
A Company

The increasingly fierce competition that occurs between companies in the  current  era of globalization is forcing the company to improve its strategies. Therefore, the main purpose of establishing a company is to increase the value of the firm. To achieve that purpose,managers have to understand the factors that can increase the value of the firms and also fulfillthe interests of stakeholders. This study aims to analyze the effect of Research and Development Intensity (RnD), Goodwill (GDW), Intellectual Capital (IC), and Financial Performance (PF) on Firm Value. The research data is obtained from  the  annual reports  of  manufacturing  companies  listed  on the Indonesia  Stock  Exchange  in 2015-2019 with a total sample of 60 after meeting certain criteria. The data is analyzed using multiple linear regression analysis.The results show that goodwill, intellectual  capital,  and financial performance have an effect on firm value. Meanwhile, the intensity of research and development has no effect on firm value The increasingly fierce competition that occurs between companies in the  current  era of globalization is forcing the company to improve its strategies. Therefore, the main purpose of establishing a company is to increase the value of the firm. To achieve that purpose,managers have to understand the factors that can increase the value of the firms and also fulfillthe interests of stakeholders. This study aims to analyze the effect of Research and Development Intensity (RnD), Goodwill (GDW), Intellectual Capital (IC), and Financial Performance (PF) on Firm Value. The research data is obtained from  the  annual reports  of  manufacturing  companies  listed  on the Indonesia  Stock  Exchange  in 2015-2019 with a total sample of 60 after meeting certain criteria. The data is analyzed using multiple linear regression analysis.The results show that goodwill, intellectual  capital,  and financial performance have an effect on firm value. Meanwhile, the intensity of research and development has no effect on firm value    

scholarly journals Human Capital Efficiency and Financial Performance: Empirical Evidence of Malaysian Public Companies.

2018 ◽  
pp. 878-884
Author(s):  
Azlina Rahim ◽  
Amrizah Kamaluddin ◽  
Ruhaya Atan
Keyword(s):  
Human Capital ◽  
Financial Performance ◽  
Value Added ◽  
Annual Reports ◽  
Public Companies ◽  
Accounting Data ◽  
Return On Equity ◽  
Capital Efficiency ◽  
Financial Performance Measures ◽  
The Relationship

The purpose of this study is to investigate empirically the relationship between human capital efficiency and financial performance of Malaysian public companies. Using accounting data, this study reviewed the annual reports of Malaysian companies for a period of thirteen years from 2000 to 2012. The study applied Value Added Intellectual Coefficient (VAICTM) methodology developed by Ante Pulic to determine the human capital efficiency of a company. The regression models was construct to examine the relationship between human capital efficiency and financial performance measures including return on assets (ROA) and return on equity (ROE).The results revealed that human capital efficiency has significant and positive relationships with financial performance. The human capital efficiency is seen as a value driver for a company’s competitiveness. Hence, the findings of this study should help companies’ managers to make better decision pertaining to investment of their strategic asset that is human capital.

scholarly journals Efficiency and technical analysis of the Turkish National Team in 2017 Women’s European Volleyball Championship2017 Kadınlar Avrupa Voleybol Şampiyonasına katılan Türk Milli Takımının teknik ve etkinlik analizi

2019 ◽  
Vol 15 (4) ◽  
pp. 2568
Author(s):  
Ayşegül Yapıcı ◽  
Özge Solmaz
Keyword(s):  
Data Envelopment Analysis ◽  
High Performance ◽  
Technical Analysis ◽  
Analysis Data ◽  
Efficiency Analysis ◽  
Efficiency Score ◽  
English Summary ◽  
Data Envelopment ◽  
National Team ◽  
Current Potential

In this study investigates how well Turkish National Team do in the 2017 Women’s European Volleyball Championship play up to their potential. To compare the potentials of the teams at the end of the championship and to determine the extent to which they reflect their current potential to this ranking. It is also possible to compare the ranking of the teams at the end of the championship with the data envelopment analysis and determine how much they reflect their current potential to this ranking. For the technical analysis of the Turkish National Team and their competitors in the 2017 Women's European Volleyball Championships, the scoreboard method was used for 21 matches. For efficiency analysis, data of 36 matches were calculated using data envelopment analysis. The data obtained for the efficiency analysis were separated as service, headline, attack and block and taken from the European Volleyball Confederation (CEV). The obtained results in Serbia, Netherlands, Turkey and Azerbaijan among the most rated teams is seen. Besides, it was seen that the ranking in the championship and super efficiency score ranking not the same. The Turkish national team completed the tournament as a third place may be due to the high performance difference in the field compared to the other teams. As a result, the results obtained from the data envelopment analysis with this study are important because it will enable them to determine their targets in the following seasons over the current potential of the team.Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetBu çalışmada; 2017 kadınlar Avrupa Voleybol Şampiyonasına katılan Türk milli takımının saha içi performanslarının sahip oldukları potansiyellerine ne kadar yakın olduğu ölçülmeye çalışılmıştır. Şampiyona bitiminde takımların potansiyellerini karşılaştırmak ve mevcut potansiyellerini bu sıralamaya ne kadar yansıttıklarını belirlemektir. Çalışmada 2017 Kadınlar Avrupa Voleybol Şampiyonasında yer alan Türk Milli Takımının ve rakiplerinin teknik analizi için 21 maç çeteleme yöntemi kullanılmıştır. Etkinlik analizi için, 36 maçın verileri VZA (veri zarflama analizi) kullanılarak hesaplanmıştır. Etkinlik analizi için elde edilen veriler servis, manşet, hücum ve blok olarak ayrılmış olup Avrupa Voleybol Konfederasyonu’nun (C.E.V.) sitesinden alınmıştır. Elde edilen sonuçlarda Sırbistan, Hollanda, Türkiye ve Azerbaycan’ın en çok sayı alan takımlar arasında olduğu görülmektedir. Bunun yanında şampiyonadaki sıralama ile hesaplanan süper etkinlik sıralamasının birbiri ile örtüşmediği görülmüştür. Türk milli takımının turnuvayı 3. bitirmesi, diğer takımlara oranla saha içi performans farkının yüksek olmasından kaynaklanabilir. Sonuç olarak, bu çalışma ile veri zarflama analizinden elde edilen sonuçlar takımın mevcut potansiyeli üzerinden gelecek sezonlardaki hedeflerini belirlemeye imkan sağlayacağı için önemlidir.

scholarly journals Intellectual Capital and its Impact on Financial Performance: A Study of Oil and Gas Sector of Pakistan

2014 ◽  
Vol 43 ◽  
pp. 125-140 ◽  
Author(s):  
Muhammad Arslan ◽  
Rashid Zaman
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Significant Relationship ◽  
Oil And Gas ◽  
Random Effect ◽  
Random Effect Model ◽  
Value Added ◽  
Annual Reports ◽  
Tangible Assets ◽  
Oil And Gas Sector

The study examines the Intellectual Capital (IC) performance of oil and gas sector of Pakistan over the period of 2007 to 2011 and its impact on corporate financial returns. The study uses value added intellectual coefficient (VAICitTM) to measure IC performance and its various components of VAICitTM like (HCEit, SCEit and CEEit) and its impact on financial performance (ROEit, ROIit and EPSit). Micro panel data of oil and gas sector registered in KSE-100 index is collected from their consolidated annual reports over the period of 2007 to 2011. The IC performance is measured by Ante Pulic Model (VAICitTM) and its effect on corporate returns (ROEit, ROIit and EPSit) is tested by Random Effect Model estimation. Hausman test suggests that study accepts null hypothesis (Chi2. Prop > 0.05) where for ui is uncorrelated with regressor means that random effect is preferred versus alternative fixed effect in all the proposed research models. The study reveals that VA is considered an important component for measuring the VAICitTM performance and it has positive and significant relationship with firm’s profitability (EPSit) and HCEit and SCEit have positive and significant relationship with firm’s financial performance (ROEit and ROIit) respectively. So, this study explores that Intellectual Capital Efficiency (ICE) has relatively larger contribution for measuring the VAICitTM performance where HCEit and SCEit execute substantive role to accelerate the financial performance of oil and gas sector of Pakistan as compare to tangible assets.

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