Impact of Intellectual Capital and Total Risk Management on Bank Performance

2021 ◽  
Vol 11 (1) ◽  
pp. 14-28
Author(s):  
Md. Saiful Islam ◽  
Md. Azizur Rahman ◽  
Sayedul Anam
Keyword(s):  
Risk Management ◽  
Intellectual Capital ◽  
Banking Industry ◽  
Adverse Impact ◽  
Bank Performance ◽  
Total Risk ◽  
Economic Stability ◽  
Sources Of Uncertainty ◽  
The Impact ◽  
The Relationship

Bank performance is treated as a pivotal indicator of total economic stability of a country. Generally, the intellectual capital measurement is the study of the impact of intellectual capital on the banks performance and gives some proposal aiming to improve the efficiency of the banking industry. The TRM encompasses all the activities that affect its risk domain. Risks are generally defined by the adverse impact on profitability of several distinct sources of uncertainty. The prime focus of this study is to find out the relationship among intellectual capital, total risk management, and the performance of Bangladeshi listed banks. The result shows that bank performance has no statistically significant relationship with total risk management of the sample banks and level of investment on intellectual capital. Likewise, the findings of the study are as comparable with some other studies where the authors have found similar and/or different economic characteristics.

Linking Knowledge Management and Intellectual Capital

2013 ◽  
Vol 5 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Maria do Rosário Cabrita ◽  
Virgílio Cruz-Machado ◽  
Florinda Matos
Keyword(s):  
Knowledge Management ◽  
Intellectual Capital ◽  
Banking Sector ◽  
Banking Industry ◽  
Successful Implementation ◽  
Successful Management ◽  
Knowledge Resources ◽  
The World ◽  
Knowledge Intensive ◽  
The Relationship

The ability of an organization to effectively nurture, capture, leverage, and share its knowledge resources become the key that provides an enterprise with its strategic power advantage in the world. When an organization develops its ability to build, access and leverage its knowledge resources it is creating its knowledge advantage. In an era of knowledge economics, Knowledge Management (KM) and Intellectual Capital (IC) have emerged as major issues that managers must deal with, if the organizations want maintain their competitive advantage. The accumulation of IC and KM is closely related. The successful management of IC is linked to the efficiency of KM processes, which, in turn, implies that the successful implementation of KM ensures the growth and renewal of IC in an organization. There are relatively few discussions on the relationship between KM and IC, and even fewer studies on such relationship in the banking industry. For the banking sector, as one of the most knowledge-intensive industries, it is imperative to understand how to use techniques in KM to accumulate IC to cope with an increasingly changing environment. Based on previous studies, this article seeks to explore the links between IC and KM in Portuguese banks, by identifying the IC resources of importance and leveraging these resources through KM capability.

Measuring the intellectual capital of Italian listed companies

2017 ◽  
Vol 18 (4) ◽  
pp. 710-732 ◽  
Author(s):  
William Forte ◽  
Jon Tucker ◽  
Gaetano Matonti ◽  
Giuseppe Nicolò
Keyword(s):  
Intellectual Capital ◽  
Firm Growth ◽  
Stock Exchange ◽  
Market Value ◽  
Investment Strategy ◽  
Sources Of Information ◽  
Content Type ◽  
Italian Context ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between intellectual capital (IC), measured in terms of the market to book (MTB) ratio, and potential key determinants of IC value such as intangible assets (IA) and a range of other factors. Design/methodology/approach The study is conducted for a sample of 140 Italian corporations over the period 2009-2013. Applying a holistic market-based approach, the relationship between IC value and selected determinants from the extant literature is tested. Five hypotheses are tested using a pooled OLS regression model, while controlling for time. ROE is employed as a useful firm profitability indicator from the perspective of an equity investor. Moreover, four robustness tests are undertaken. Findings The results show that IA, profitability, leverage, industry type, auditor type, and family ownership positively affect IC value, whereas SIZE and AGE negatively affect IC value. Moreover, the findings of the robustness tests suggest that all firms, and not just knowledge-intensive business service industry firms, manage knowledge. Research limitations/implications The validity of the findings is limited to the Italian context, as the study focuses on a sample of companies listed on the Milan Stock Exchange, all of which prepare their individual financial statements according to IFRS. Further limitations are related to the use of market value in the short term, as it is influenced by market volatility. The study may allow academic researchers to investigate the impact of other non-accounting sources of information on market value within a multidisciplinary perspective. Practical implications This paper also has implications for managers and practitioners. The findings suggest that managers should not take for granted that firm growth (an increase in SIZE) alone will lead to an increase in IC value, in the absence of a consistent IC-oriented investment strategy. Managers should also avoid smoothing their IC investment as the company grows, in order to maintain a stable MTB ratio. Further, standard setters should seek to explore better means of disclosing non-accounting information relating to IC value. Originality/value This paper contributes to the IC literature as it is the first study which applies the market capitalization approach to analyze IC value determinants in the Italian context, within the framework of IFRS. The findings reveal some interesting relationships between the MTB ratio and recognized intangible investments, which are found to be insignificant in previous studies, confirming that, through the holistic effect, the MTB ratio may be a good proxy for IC.

Enhancing radical innovation performance through intellectual capital components

2017 ◽  
Vol 18 (4) ◽  
pp. 789-806 ◽  
Author(s):  
Lara Agostini ◽  
Anna Nosella
Keyword(s):  
Intellectual Capital ◽  
Radical Innovation ◽  
Innovation Performance ◽  
Content Type ◽  
Key Factor ◽  
Ic Testing ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Purpose In today’s knowledge economy the ability to innovate and develop new products is a key factor to sustain firm performance. Within this context, analysing the role of different components of intellectual capital (IC) becomes of foremost importance, as well as an under-investigated issue for small- and medium-sized enterprises (SMEs). The purpose of this paper is to investigate the impact of human, organisational and relational capital (RC) on radical innovation performance (RIP), as well as to examine whether organisational capital (OC) and RC mediate the relationship between human capital (HC) and RIP and whether OC moderates the relationship between RC and RIP. Design/methodology/approach The methodology consisted of a factor analysis and different regression models to test for mediation and moderation. The analyses are carried out on a sample of 150 micro firms and SMEs involved in the production of machinery or instruments and located in Italy. Findings Results show that HC is directly associated to RIP, as well as OC and RC that totally mediate the relationship between HC and RIP. Moreover, OC positively moderates the relationship between RC and RIP. Originality/value This study is particularly interesting because it adopts an overarching perspective on IC testing the interplay between the different components of IC. In addition, it focusses on the SME context which is under-investigated as far as IC and performance measurement is concerned.

scholarly journals Hedge or Rebalance: Optimal Risk Management with Transaction Costs

Risks ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 112
Author(s):  
Florent Gallien ◽  
Serge Kassibrakis ◽  
Semyon Malamud
Keyword(s):  
Risk Management ◽  
Lower Bound ◽  
Transaction Costs ◽  
Balance Sheet ◽  
Total Risk ◽  
Current Position ◽  
Net Return ◽  
Trading Zone ◽  
Futures Contract ◽  
The Impact

We solve the problem of optimal risk management for an investor holding an illiquid, alpha-generating fund and hedging his/her position with a liquid futures contract. When the investor is subject to a lower bound on net return, he/she is forced to reduce the total risk of his/her portfolio after a loss. In this case, he/she faces a tradeoff of either paying the transaction costs and deleveraging or keeping his/her current position in the illiquid instrument and hedging away some of the risk while keeping the residual, unhedgeable risk on his/her balance sheet. We explicitly characterize this tradeoff and study its dependence on asset characteristics. In particular, we show that higher alpha and lower beta typically widen the no-trading zone, while the impact of volatility is ambiguous.

Research on the Impact of Intellectual Capital on Corporate Value—Based on the Panel Data of Companies Listed on GEM

2017 ◽  
Vol 14 (1) ◽  
pp. 151-156 ◽  
Author(s):  
Fu-Sheng Wang ◽  
Bei Yuan
Keyword(s):  
Intellectual Capital ◽  
Theoretical Method ◽  
Empirical Method ◽  
Human Society ◽  
Enterprise Value ◽  
Structural Capital ◽  
And Behavior ◽  
The Impact ◽  
The Relationship ◽  
Descriptive Statistical Analysis

Along with the human society entered the era of knowledge economy, intellectual capital has become a new growth point of enterprise value. How does the factor of intellectual capital influence the enterprise value? This paper reviews the relevant literatures and analyzes the relationship between intellectual capital and the enterprise value through both theoretical method and empirical method. In the theoretical analysis, we explore the impact of intellectual capital on enterprise value by mechanism and behavior. Then we selected the data of GEM listed companies from 2010 to 2015 for empirical analysis. Through descriptive statistical analysis and multiple regression analysis, we find there is some correlation between the intellectual capital and enterprise value. The empirical results show that material capital, human capital and structural capital are all positively correlated with the enterprise value.

THE EFFECTS OF THE GLOBAL CRISIS ON ISLAMIC AND CONVENTIONAL BANKS: A COMPARATIVE STUDY

2011 ◽  
Vol 02 (02) ◽  
pp. 163-200 ◽  
Author(s):  
MAHER HASAN ◽  
JEMMA DRIDI
Keyword(s):  
Management Practices ◽  
Adverse Impact ◽  
Islamic Banks ◽  
Economic Stability ◽  
Global Crisis ◽  
Rating Agencies ◽  
Asset Growth ◽  
Conventional Banks ◽  
The Impact ◽  
Better Than

This paper examines the performance of Islamic banks (IBs) and conventional banks (CBs) during the recent global crisis by examining the impact of the crisis on profitability, credit and asset growth, and external ratings in a group of countries where the two types of banks have significant market share. Our analysis suggests that IBs have been affected differently than CBs. Factors related to IBs' business model helped limit the adverse impact on profitability in 2008, while weaknesses in risk management practices in some IBs led to a larger decline in profitability in 2009 compared to CBs. IBs' credit and asset growth performed better than did that of CBs in 2008–2009, contributing to financial and economic stability. External rating agencies' re-assessment of IBs' risk was generally more favorable.

Effects of intellectual capital on innovative performance

2015 ◽  
Vol 53 (1) ◽  
pp. 40-56 ◽  
Author(s):  
Yuqian Han ◽  
Dayuan Li
Keyword(s):  
Intellectual Capital ◽  
Dynamic Capability ◽  
Content Type ◽  
Innovative Performance ◽  
Mediating Role ◽  
Knowledge Based ◽  
The Impact ◽  
The Relationship ◽  
Moderating Role ◽  
Practical Implications

Purpose – The purpose of this paper is to demonstrate the relationship between intellectual capital and innovative performance, and to specify the boundary conditions and mechanisms of the relationship from a knowledge-based dynamic capability perspective. Design/methodology/approach – This study empirically analyzes the impact of intellectual capital on innovative performance and the role knowledge-based dynamic capability plays with a sample of 217 firms in China. To test the research hypotheses, regression analysis is applied. Findings – The results show that intellectual capital positively affects innovative performance, and knowledge-based dynamic capability is a mediator rather than a moderator which partly mediates the relationship between intellectual capital and innovative performance. Practical implications – The findings suggest that realizing superior innovative performance is dependent on a firm’s intellectual capital and its ability to sense opportunities and threats, to make timely and correct decisions, and to facilitate necessary changes efficiently. Originality/value – This study is the first to clarify whether knowledge-based dynamic capability plays a moderating role or a mediating role between intellectual capital and innovative performance. The present study thus helps move forward the understanding on the conditions and mechanisms of the effects of intellectual capital.

scholarly journals The Impact of Total Risk Management on Company's Performance

2016 ◽  
Vol 220 ◽  
pp. 271-277 ◽  
Author(s):  
Hamdu Kedir Mohammed ◽  
Adriana Knapkova
Keyword(s):  
Risk Management ◽  
Total Risk ◽  
The Impact

scholarly journals Pengaruh Intellectual Capital dan Corporate Governance Terhadap Kinerja Bank di Indonesia

2019 ◽  
Vol 2 (1) ◽  
pp. 57
Author(s):  
Jadzil Baihaqi
Keyword(s):  
Corporate Governance ◽  
Intellectual Capital ◽  
Boards Of Directors ◽  
Audit Committee ◽  
Stock Exchange ◽  
Governance Mechanism ◽  
Moderation Effect ◽  
Corporate Governance Mechanism ◽  
The Impact ◽  
The Relationship

This study examines the impact of intellectual capital and corporate governance mechanism on banks’ performance both directly and also moderated effect. We used banks that were listed in the Indonesia Stock Exchange. The bank’s performance was measured by risk-based bank rating while intellectual capital was measured by the coefficient of VAICTM (Pulic, 1998). The corporate governance mechanism was measured based on the size of boards of directors, the composition of independent director, CEO remuneration, managerial ownership, the effectiveness of audit committee and ownership concentration. The result of the study shows that banks’ performance was positively influenced by intellectual capital. However, corporate governance mechanism did not influence the banks’ performance, while the moderation effect of corporate governance mechanism on the relationship between intellectual capital and banks’ performance was not confirmed.

scholarly journals Risk Profile, Secure Bond, and Bond Rating in Banking Industry

The Winners ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 49
Author(s):  
Erin Wijayanti ◽  
Indah Yuliana
Keyword(s):  
Banking Industry ◽  
Stock Exchange ◽  
Risk Profile ◽  
Partial Least Square ◽  
Least Square ◽  
Bond Ratings ◽  
Bond Rating ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The research aimed to assess the impact of the Risk Profile on the banking industry bond ratings in Indonesia Stock Exchange (IDX) and have a rating for bonds at PT PEFINDO. Sampleswere selected by purposive sampling method. The population were banks listed on the Indonesia Stock Exchange in 2015-2018. The population was 44 banks and 16 banks were selected as samples. The analysis a used descriptive statistics and Partial Least Square (PLS) for testing structural and structural models. The results show that Non-Performing Loan (NPL)and Loan to Deposit Ratio (LDR) directly have a significant direct positive effect on bond ratings, and security directly do not have a significant effect on bond ratings, security strengthen risk relationships credit with a bond rating. However, security weakens the relationship between liquidity risk and the bond rating. The variables indicate that these variables can explain the bond rating of 44,4% while the remaining 55,6% is influenced by other variables not contained in the research model.

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