Dr. Prabath Ranatunga | Sabaragamuwa University of Sri Lanka (original) (raw)

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Papers by Dr. Prabath Ranatunga

Sri Lanka Journal of Social Sciences and Humanities

This study aims to study the impact of Intellectual Capital (IC) on business uncertainty in the s... more This study aims to study the impact of Intellectual Capital (IC) on business uncertainty in the small-scale enterprises (SE) sector in Sri Lanka and, consequently, investigate the impact of business uncertainty on enhancing their business performance. The data were collected from a sample of 150 owners of SEs employing face-to-face and telephone interviews. Partial Least Square-Structural Equation Modelling (PLS-SEM) was used to analyse the data through SmartPLS V3 software. The study findings reveal a significant positive relationship between IC and the business performance of SEs. Moreover, IC significantly affects the uncertainty faced by these businesses. Results also claim that business uncertainty plays a complementary mediating role in the relationship between IC and the business performance of SEs. Consequently, the study concludes that enhancing the IC in small enterprises builds reconfigures the available resources of SEs, ensuring expected performance and survival in econ...

Journal of Management Matters, Dec 31, 2022

The study empirically examined how the use of mobile technology affects the opportunism and busin... more The study empirically examined how the use of mobile technology affects the opportunism and business performance of Small and Medium-sized Enterprises (SMEs) in Sri Lanka. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to analyze the data that was collected from 400 SMEs by utilizing a structured questionnaire having face-to-face and telephony interviews. Results revealed that mobile technology generates a significant positive effect on business performance and, consequently, a negative effect on opportunism while opportunism makes a negative impact on the business performance of SMEs. Simultaneously, the study revealed that opportunism considerably interposes in the relationship between mobile technology and SME business performance. Finally, the study has made a strong recommendation to strengthen the use of mobile technology and its applications which highly relate to solving the issues faced by SMEs in the current imperfect market mechanism.

The functioning and long term survival of any organizations highly depends on several factors. At... more The functioning and long term survival of any organizations highly depends on several factors. Attracting and retaining the best talented employees is a key factor to ensure the accomplishment of organizational goals. Nowadays, most of organizations pay little attention on the retention of employees than attracting them. As a significant determinant for achieving organization’s goals, this study is to discuss the impact of Talent management on Non managerial employee retention in private commercial banking sector, Western province of Sri Lanka. According to the previous studies researchers proved that generally private sector employees enjoy more financial and non-financial benefits rather than state sector banking employees. But employee retention in private commercial banking sector lower than state banking sector. This reason was root factor to study the employee retention in private commercial banking sector. Further this study was focused on Non managerial employees in private ...

Colombo Business Journal, 2021

This study endeavours to investigate empirically how Information and Communications Technology (I... more This study endeavours to investigate empirically how Information and Communications Technology (ICT) usage affects the bounded rationality and business performance of Small and Medium Enterprises (SMEs) in Sri Lanka. The data collection has been done with 400 owners of SMEs in Sri Lanka by employing telephone and face to face interviews using a structured questionnaire. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to analyse the data. The empirical results discovered that the different dimensions of ICT usage such as infrastructure, applications, policy, human resources, and mobile technology have a negative impact on bounded rationality and positive effects on the business performance of SMEs in Sri Lanka. Thus, the study recognizes that several dimensions of ICT usage make proper information flow to pull out information asymmetry and reduce the bounded rationality of SMEs, thereby increasing the business performance of SMEs in Sri Lanka.

Table of Contents iv List of Tables vi List of Figures vii Chapter 1-Introduction 1 1.1 Plagiaris... more Table of Contents iv List of Tables vi List of Figures vii Chapter 1-Introduction 1 1.1 Plagiarism as a Crucial Problem in e-learning Systems 1

Journal of Computer Science

Authorship verification rely on identification of a given document is written by a particular aut... more Authorship verification rely on identification of a given document is written by a particular author or not. Internally analyzing the document itself with respect to the variations in writing style of the author and identification of the author’s own idiolect is the main context of the authorship verification. Mainly, the detection performance depends on the used feature set for clustering the document. Linguistic features and stylistic features have been utilized for author identification according to the writing style of a particular author. Disclose the shallow changes of the author’s writing style is the major problem which should be addressed in the domain of authorship verification. It motivates the computer science researchers to do research on authorship verification in the field of computer forensics and this research also focuses this problem. The contributions from the research are two folded: Former is introducing a new feature extracting method with Natural Language Pro...

At present, modern education systems especially, the higher education sector are using e-learning... more At present, modern education systems especially, the higher education sector are using e-learning systems with Information and Communication Technology. Simultaneously, new methods applied in learning/teaching have been introduced in order to increase the efficiency and the quality of the entire learning/teaching process. However, these e-learning environments have been seriously affected by the rapid increase of plagiarism and it has been identified as one of the most crucial issues to be addressed to maintain the quality and effectiveness of the learning/teaching process. Typical Learning Management Systems (LMS) used in e-learning environments are not equipped with efficient and accurate plagiarism detection systems. Employing existing plagiarism detection tools into current LMS does not solve the problem as they are very expensive to apply to such systems. Also due to architectural issues, such systems would introduce unreliable and interoperable issues as well. Although attempt...

At present, modern education systems especially, the higher education sector are using e-learning... more At present, modern education systems especially, the higher education sector are using e-learning systems with Information and Communication Technology. Simultaneously, new methods applied in learning/teaching have been introduced in order to increase the efficiency and the quality of the entire learning/teaching process. However, these e-learning environments have been seriously affected by the rapid increase of plagiarism and it has been identified as one of the most crucial issues to be addressed to maintain the quality and effectiveness of the learning/teaching process. Typical Learning Management Systems (LMS) used in e-learning environments are not equipped with efficient and accurate plagiarism detection systems. Employing existing plagiarism detection tools into current LMS does not solve the problem as they are very expensive to apply to such systems. Also due to architectural issues, such systems would introduce unreliable and interoperable issues as well. Although attempts have been made to build fully automated plagiarism detection systems, many of them have not shown satisfactory performance (Bryan, 2007). Having closely studied those systems and approaches it was decided to propose a framework that can accelerate and improve the efficiency of the human plagiarism detecting process that can be described as a Machine Assisted Plagiarism Detection System (MAPDetect), which encapsulates a framework of most powerful and most applicable approaches. Here the user is the final decision maker of such a system. Entire components of the framework can be divided mainly into few modules to capture human cheating behavior namely, document similarity checking, document fingerprinting, natural language processing, , and authorship attribution, etc. The document representation models such as Vector Space Model (VSM) and n-gram model are used to calculate the word level correlation among the documents and it is more related to the surface level document similarity analysis. The deep structure of a document like, syntactic and semantic analyses are used to detect paraphrasing and collusion. Formatting structure of a document which gives more information of plagiarism is also emphatically considered. Authorship Attribution from the field of computer forensics can also be used in the proposed framework. The proposed integrated plagiarism detection framework will be implemented in a free and open source platform and supposed to be adhered to e-learning standard adopted by LMS. A modular architecture will be proposed for this framework to implement the plagiarism detection techniques with preprocessing sub systems. Typically LMS consists of several combined sub systems, such as large collection of electronic documents which has been stored by the students for several years, digital library systems, etc. Significant advantage of integrating MAPDetect with such systems is a large collection of document base which can be used for comparing documents in each module. The user will be provided a great opportunity to select the most appropriate module for identifying the plagiarized documents by the system. The ultimate goal of this approach will be to provide an excellent pathway to construct a fully automated plagiarism detection system which is applicable of detecting all inherent tendencies of the plagiarizer. Keywords: Plagiarism Detection, Document similarity, Document Fingerprinting, Natural Language Processing, Authorship Attribution

Sri Lanka Journal of Social Sciences and Humanities

This study aims to study the impact of Intellectual Capital (IC) on business uncertainty in the s... more This study aims to study the impact of Intellectual Capital (IC) on business uncertainty in the small-scale enterprises (SE) sector in Sri Lanka and, consequently, investigate the impact of business uncertainty on enhancing their business performance. The data were collected from a sample of 150 owners of SEs employing face-to-face and telephone interviews. Partial Least Square-Structural Equation Modelling (PLS-SEM) was used to analyse the data through SmartPLS V3 software. The study findings reveal a significant positive relationship between IC and the business performance of SEs. Moreover, IC significantly affects the uncertainty faced by these businesses. Results also claim that business uncertainty plays a complementary mediating role in the relationship between IC and the business performance of SEs. Consequently, the study concludes that enhancing the IC in small enterprises builds reconfigures the available resources of SEs, ensuring expected performance and survival in econ...

Journal of Management Matters, Dec 31, 2022

The study empirically examined how the use of mobile technology affects the opportunism and busin... more The study empirically examined how the use of mobile technology affects the opportunism and business performance of Small and Medium-sized Enterprises (SMEs) in Sri Lanka. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to analyze the data that was collected from 400 SMEs by utilizing a structured questionnaire having face-to-face and telephony interviews. Results revealed that mobile technology generates a significant positive effect on business performance and, consequently, a negative effect on opportunism while opportunism makes a negative impact on the business performance of SMEs. Simultaneously, the study revealed that opportunism considerably interposes in the relationship between mobile technology and SME business performance. Finally, the study has made a strong recommendation to strengthen the use of mobile technology and its applications which highly relate to solving the issues faced by SMEs in the current imperfect market mechanism.

The functioning and long term survival of any organizations highly depends on several factors. At... more The functioning and long term survival of any organizations highly depends on several factors. Attracting and retaining the best talented employees is a key factor to ensure the accomplishment of organizational goals. Nowadays, most of organizations pay little attention on the retention of employees than attracting them. As a significant determinant for achieving organization’s goals, this study is to discuss the impact of Talent management on Non managerial employee retention in private commercial banking sector, Western province of Sri Lanka. According to the previous studies researchers proved that generally private sector employees enjoy more financial and non-financial benefits rather than state sector banking employees. But employee retention in private commercial banking sector lower than state banking sector. This reason was root factor to study the employee retention in private commercial banking sector. Further this study was focused on Non managerial employees in private ...

Colombo Business Journal, 2021

This study endeavours to investigate empirically how Information and Communications Technology (I... more This study endeavours to investigate empirically how Information and Communications Technology (ICT) usage affects the bounded rationality and business performance of Small and Medium Enterprises (SMEs) in Sri Lanka. The data collection has been done with 400 owners of SMEs in Sri Lanka by employing telephone and face to face interviews using a structured questionnaire. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to analyse the data. The empirical results discovered that the different dimensions of ICT usage such as infrastructure, applications, policy, human resources, and mobile technology have a negative impact on bounded rationality and positive effects on the business performance of SMEs in Sri Lanka. Thus, the study recognizes that several dimensions of ICT usage make proper information flow to pull out information asymmetry and reduce the bounded rationality of SMEs, thereby increasing the business performance of SMEs in Sri Lanka.

Table of Contents iv List of Tables vi List of Figures vii Chapter 1-Introduction 1 1.1 Plagiaris... more Table of Contents iv List of Tables vi List of Figures vii Chapter 1-Introduction 1 1.1 Plagiarism as a Crucial Problem in e-learning Systems 1

Journal of Computer Science

Authorship verification rely on identification of a given document is written by a particular aut... more Authorship verification rely on identification of a given document is written by a particular author or not. Internally analyzing the document itself with respect to the variations in writing style of the author and identification of the author’s own idiolect is the main context of the authorship verification. Mainly, the detection performance depends on the used feature set for clustering the document. Linguistic features and stylistic features have been utilized for author identification according to the writing style of a particular author. Disclose the shallow changes of the author’s writing style is the major problem which should be addressed in the domain of authorship verification. It motivates the computer science researchers to do research on authorship verification in the field of computer forensics and this research also focuses this problem. The contributions from the research are two folded: Former is introducing a new feature extracting method with Natural Language Pro...

At present, modern education systems especially, the higher education sector are using e-learning... more At present, modern education systems especially, the higher education sector are using e-learning systems with Information and Communication Technology. Simultaneously, new methods applied in learning/teaching have been introduced in order to increase the efficiency and the quality of the entire learning/teaching process. However, these e-learning environments have been seriously affected by the rapid increase of plagiarism and it has been identified as one of the most crucial issues to be addressed to maintain the quality and effectiveness of the learning/teaching process. Typical Learning Management Systems (LMS) used in e-learning environments are not equipped with efficient and accurate plagiarism detection systems. Employing existing plagiarism detection tools into current LMS does not solve the problem as they are very expensive to apply to such systems. Also due to architectural issues, such systems would introduce unreliable and interoperable issues as well. Although attempt...

At present, modern education systems especially, the higher education sector are using e-learning... more At present, modern education systems especially, the higher education sector are using e-learning systems with Information and Communication Technology. Simultaneously, new methods applied in learning/teaching have been introduced in order to increase the efficiency and the quality of the entire learning/teaching process. However, these e-learning environments have been seriously affected by the rapid increase of plagiarism and it has been identified as one of the most crucial issues to be addressed to maintain the quality and effectiveness of the learning/teaching process. Typical Learning Management Systems (LMS) used in e-learning environments are not equipped with efficient and accurate plagiarism detection systems. Employing existing plagiarism detection tools into current LMS does not solve the problem as they are very expensive to apply to such systems. Also due to architectural issues, such systems would introduce unreliable and interoperable issues as well. Although attempts have been made to build fully automated plagiarism detection systems, many of them have not shown satisfactory performance (Bryan, 2007). Having closely studied those systems and approaches it was decided to propose a framework that can accelerate and improve the efficiency of the human plagiarism detecting process that can be described as a Machine Assisted Plagiarism Detection System (MAPDetect), which encapsulates a framework of most powerful and most applicable approaches. Here the user is the final decision maker of such a system. Entire components of the framework can be divided mainly into few modules to capture human cheating behavior namely, document similarity checking, document fingerprinting, natural language processing, , and authorship attribution, etc. The document representation models such as Vector Space Model (VSM) and n-gram model are used to calculate the word level correlation among the documents and it is more related to the surface level document similarity analysis. The deep structure of a document like, syntactic and semantic analyses are used to detect paraphrasing and collusion. Formatting structure of a document which gives more information of plagiarism is also emphatically considered. Authorship Attribution from the field of computer forensics can also be used in the proposed framework. The proposed integrated plagiarism detection framework will be implemented in a free and open source platform and supposed to be adhered to e-learning standard adopted by LMS. A modular architecture will be proposed for this framework to implement the plagiarism detection techniques with preprocessing sub systems. Typically LMS consists of several combined sub systems, such as large collection of electronic documents which has been stored by the students for several years, digital library systems, etc. Significant advantage of integrating MAPDetect with such systems is a large collection of document base which can be used for comparing documents in each module. The user will be provided a great opportunity to select the most appropriate module for identifying the plagiarized documents by the system. The ultimate goal of this approach will be to provide an excellent pathway to construct a fully automated plagiarism detection system which is applicable of detecting all inherent tendencies of the plagiarizer. Keywords: Plagiarism Detection, Document similarity, Document Fingerprinting, Natural Language Processing, Authorship Attribution