KIMEP University

About: KIMEP University is a education organization based out in Almaty, Kazakhstan. It is known for research contribution in the topics: Corporate governance & Government. The organization has 185 authors who have published 426 publications receiving 5098 citations.

Human Resource Management Practices in Bangladesh: Current Scenario and Future Challenges:

Abstract: The aim of this study is to assess current HRM practices in Bangladesh, as well as the future challenges the country faces. Based on secondary sources, we explain the institutional contexts of the ...

Corporate governance through an audit committee: an empirical study

Abstract: Even though there are many measures to put corporate governance (CG) in place and practise, an important tool essential for the success is the efficacy and effective functioning of an audit committee (AC). Nowadays, an AC is being looked upon as a distinct culture for CG and has received wide-publicity across the globe. Government authorities, regulators and international bodies all have indicated that they view an AC as a potentially powerful tool that can enhance the reliability and transparency of financial information. Being mandatory under SEBI’s clause 49 of the listing agreement, an AC can be of great help to the board in implementing, monitoring and continuing ‘good’ CG practises to the benefit of the corporation and all its stakeholders. This study performs a ‘content’ analysis on the AC reports of the top 500 listed companies in India during 2005 to 2008 to determine the information content of these reports and the extent to which these reports conform to the clause 49 requirements of the SEBI. ...

Corporate governance in extreme institutional environment: Evidence from emerging economy

Abstract: Corporate governance (CG) is often split among rule and principle-based methods to regulate in distinctive institutional contexts. Relying on an alternative theoretical framework (i.e. institutional theory), rather than the dominant agency theory, this study conceptualizes corporate governance practices and structures as institutionally resolute and directed and explores the key institutional determinants of good CG practices in an emerging economy. Drawing on qualitative and quantitative methods, this study conducted semi-structured interviews from eight CG professionals, followed by a survey questionnaire (N=105) from PSX listed firms. The study explores the the extent to which certain underlying formal and informal institutional determinants, such as the auditing, political, legal, board, shareholders awareness, voting, culture, and values play a determining role in corporate governance. Using exploratory factor analysis, this study identified five major barriers, i.e. firm-level barriers, external barriers, social barriers, education and training barriers and legal barriers which restrain good CG practices in Pakistan. In addition, this study identified four major drivers, i.e. internal drivers, regulatory drivers, motivational drivers and collaborative drivers which can promote good CG practices in Pakistan. The findings of multiple hierarchical regression analysis revealed that the CGI score has a significant positive relationship with both return on assets and return on equity. This study emphasizes the the necessity to revisit the foundation of institutional and agency theories in the environment of developing countries.

An Intelligent Supply Chain Management System to Enhance Collaboration in Textile Industry

Abstract: The recent challenge in textile supply chain management is the development of collaboration network which accommodates diverse concerns of various participants while explicitly recognizing interdependencies and promoting effective relationship management. This study is designed to suggest a collaboration network model for textile industry and apply it to establish a desirable framework for the textile supply chain management. The collaboration network model, proposed in this study, is designed to facilitate positive collaboration from the supply chain of the textile industry. Utilizing the collaboration model, an intelligent textile supply chain management system is designed to improve customer services and delivery time, and to promote information sharing, and shorten product life cycle time. The primary goal of an intelligent textile supply chain management system is to promote corporate innovation and information sharing, and generate infrastructure which reduces the gap of the competitiveness across the textile supply chain and enhance the collaboration, which in turn improve the competitiveness of the textile industry as a whole.

On the validity of conventional statistical tests given evidence of non-synchronous trading and non-linear dynamics in returns generating process

Abstract: Based on the recent developments in market microstructure and applications of nonlinear dynamics and chaos theory to financial time series, the subsequent article questions the validity of traditional methods used to test the efficient market hypothesis. In particular, it emphasizes the invalidity of unit roots tests since they are not predictability tests.