Browsing by Author "Gunawardana, KD"

Now showing 1 - 5 of 5

item: Thesis-Abstract
An Analysis of e-commerce (B2B) awareness in manufacturing industries of Sri Lanka
Sudarshan, G; Gunawardana, KD
The purpose of this research is to discuss the potential of e-commerce in Sri Lankan manufacturing industries by reviewing the awareness and readiness. This study reveals the present level of awareness and readiness of e-commerce applications in manufacturing industries. Further the study is to find out the potential constraints to implement the e-commerce applications and the initiatives that they are planning to invest in next few years. Also it explores the relationship between the e-commerce awareness and the firm based characteristics of the manufacturing industries. It is important to note that the focus of this study is on Business-to-Business (B2B) in manufacturing industries. The methodology used in this study, a database of manufacturing companies in Sri Lanka developed by Ministry of Industrial Development was used to develop the sample for survey. Out of 531 large scale manufacturing companies 100 companies were selected at random. The questionnaire was developed based on information collected from the literature review and the analysis of similar studies performed abroad. Thereafter the questionnaire was distributed to the senior executive in their respective companies. The resulting response rate was 40 %, with 40 total usable responses out of the 100 companies which is an expected rate for the surveys. The results indicate the awareness of e-cornmerce technologies among the Sri Lankan manufacturing companies and it is very high. But future investment to develop ecommerce application is very low according to the survey. Most popular e-commerce applications are e-mail, Internet and the company website. E-mail still seems to be the prevalent methods of communication with business partners and their suppliers. The results show that there are no relationship between the e-commerce awareness level and the business type with p_value (0.391). But another result show there is a significant relationship between e-commerce awareness level and company age with p_value (0.009), also there is a significant relationship between e-commerce awareness level and company size with p_value (029), further more there is a significant relationship between e-commerce awareness level and annual turnover with p_value (012).
item: Thesis-Abstract
An Analysis of technical data and develop a model to predict all share price index in Colombo Stock Market by using artificial neural network
Ilambarathy, R; Gunawardana, KD
Stock market trends have been predicated over and over again to extract useful patterns and predict their movements. Stock market prediction has always had a certain appeal for researchers. Whilst, numerous scientific attempts have been made, but few methods have been discovered to accurately predict stock variables movements. There are various approaches in predicting the movements of stock prices and variety of prediction techniques has been used by stock market analysts. Buying and selling shares is became one of the most popular and rewarding businesses among the business community. In contrast, not like earlier, nature of this business has turn into much more complex in the present world. Profitability and productivity are not solely depending on the company's profile or industrial growth. Whereas, depends on a mixture of dynamic ecological factors. Success of any business is a reflection of efficient decision making, made via analysis of historical data and prediction, which requires high skill, knowledge and industrial experience. In Sri Lankan perspective, multinational and individual business investors seek advises from well experienced professional bodies in making their investment decisions by paying high consultancy charges. Apart from this, stockbrokers face critical problem of accommodating the demand owing to the lack of such skilled professionals and high service cost. This research facilitates with the model to predict the movement of the Colombo Stock Exchange Index using an Artificial Intelligence technique such as the Artificial Neural Networks, which is trained using all fundamental or technical variables, to predict the behavior of stock movements and it is considered as an ideal method to handle pattern less past data. The variables used for this model includes technical data as well as macro economic data. The model was able to predict the CSE index with an accuracy of 97.8%.This model will also aid all business individual investors who are attached to CSE.
item: Conference-Full-text
An Empirical Study Of The Impact Of User Training And Attitude Towards ERP Implementation In Selected Companies In Sri Lanka
Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOVA result shows the users’ attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.
item: Conference-Full-text
An Empirical Study of the Impact of User Training and Attitude Towards ERP Implementation in selected Companies in Sri Lanka
Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOVA result shows the users’ attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.
item: Conference-Extended-Abstract
An empirical study of the impact of user training and attitude towards ERP implementation in selected companies in Sri Lanka
(2014-01-16) Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOV A result shows the users' attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.