Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/24830
Title: Nexus of Intellectual Capital and Firms’ Performance
Authors: Amarasinghe, H.K.
Aruppala, W.D.N.
Keywords: Intellectual Capital, Food & Beverage Industry, Value Added Intellectual Coefficient (VAIC), Food and Beverage Industry
Issue Date: 2021
Publisher: Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
Citation: Amarasinghe, H.K.; Aruppala, W.D.N. (2021), Nexus of Intellectual Capital and Firms’ Performance, 07th International Conference for accounting researchers & educators, Department of Accountancy (ICARE 2021), Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka. 106p.
Abstract: Intellectual capital can recognize as a set of resources, capabilities, competences that directs organizational performance and value. Intellectual capital held and created by those human resources to manage it in a manner to achieve maximum effectiveness in firm performance. Most of the definitions of intellectual capital describes the intellectual capital as a knowledge capital or capital which derives from knowledge. Also, it has identified that the intellectual capital comprises with 3 domains of human capital, structural capital and the customer capital. Human capital is embedded in people, such as knowledge, skills, abilities and expertise, and social capital is the value that people gain through networks and relationship ties, and organizational capital is include in system, process, structure, culture of the firm. The main aim of this study to identify impact of intellectual capital on firm’s performance of the food & beverage industry which comprise with 49 listed companies in Sri Lanka. The data collection is based on annual reports for the years 2015-2020 of listed companies under Food & Beverage Industry at Colombo Stock Exchange. The Value-Added Intellectual coefficient (VAIC) method uses to measure the Intellectual Capital of the firm. Data is analyzed through linear regression model and use E-views software to perform statistical tests. Findings of this study will be beneficial for the decision makers in Food & Beverages Industry in Sri Lanka.
URI: http://repository.kln.ac.lk/handle/123456789/24830
Appears in Collections:ICARE 2021

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