2018 : Business Resurgence & Green Living
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- ItemMarket Efficiency and Related Theories: A Brief History(NSBM Green University, 2018-08-24) Weeraratne, S.This paper mainly focuses on reviewing the theoretical phenomenon with regard to market efficiency. The paper lays the background for the analysis by elaborating the theory of Efficient Market Hypothesis; a theoretical phenomenon bought forward by E. Fama and explained under three different market forms; Weak form, Semi-strong form and Strong form. Each of the different form is elaborated with empirical findings, which both support and oppose the theory. Review it further extended to elucidate other related concepts such as Random walk theory and different Market Anomalies
- ItemPoster Presentation: IP Solutions for Green Technologies: Prospects and Challenges for Sri Lanka(NSBM Green University, 2018-08-25) Punchihewa, N.S.— In recent decades, the world community is grappling with a number of environmental issues, such as global warming, emissions of greenhouse gases and climate change. Undoubtedly, innovation in the field of green technologies is necessary to find solutions to slow down, halt, and mitigate serious and far-reaching negative consequences flowing from afore-mentioned global problems. In this regard, intellectual property (IP) rights or ‘the global currency of innovation’ may be seen as a valuable tool to promote the development and diffusion of green technology. Undeniably, IP law is a dynamic field; its ever-changing landscape challenges IP community to constantly revisit the existing laws and policies. Therefore, the IP system provides the regulatory framework and necessary incentives innovation and creation. The concept of IP protects finest creations of human mind and therefore innovative ideas, creative designs and powerful brands are legally protected by the IP system. Although ideological currents of promoting green technologies are sweeping through the developed and emerging economies, in recent years, the protection of clean technologies remains a largely unexplored option in Sri Lanka and many parts of the South Asian region. Even though there is no clear-cut definition of the term ‘green technology’ it may encompass; technologies protecting the environment, less polluting technologies, technologies using resources in a more sustainable manner, technologies aiming at recycling of waste and products and technologies handling residual wastes. From an IP perspective, ‘green inventions or environmentally-friendly inventions’, such as those involve energy efficiency, alternatives to fossil fuel and carbon generation, water purification, recycling, renewable resources, energy efficient consumer goods, energy efficiency improvements etc. can be protected under the current patent system of Sri Lanka. Moreover, certain types of technologies can be accorded an IP protection under the trade secret regime. In marketing green technology products, trademark system can serve as an effective tool for branding and advertising. Interestingly, green building designs and structures can be accorded an industrial design protection. Against this backdrop, this research explores the best possible ways of incentivizing green technologies without creating stumbling blocks and barriers for technology transfer to industrial sector in Sri Lanka. It also offers new insight into potential use of IP tools by Sri Lankan industrial landscape in order to reach sustainable development goals and achieve much-needed transition to a green economy, while ensuring affordable access to clean technologies.
- ItemFostering creativity through interactive workshops. An analytical study on developing a creative model to stimulate creativity in architectural education.(NSBM Green University, 2018-08-25) Hettithanthri, U.In current field of education, learners are demanding for innovative approaches in teaching. This paper is focused on developing new creative model which could be applied on creative stimulation in architectural education. Typical individual centric education will not be sufficient to make learners more creative. It needs more effort from facilitators and creative approaches in teaching. Using creative teaching methods are lacking in current practice and through this article it will describe the effectiveness of having interactive workshops other than individual centric tutoring to modify the pedagogical techniques and to stimulate creativity of learners.
- ItemKnowledge Sharing Behavior of Management Undergraduates in Sri Lankan Universities.(NSBM Green University, 2018-08-25) Gamage, D.G.M.P.M.Mission of universities is to equip students with the necessary knowledge for their future careers. Universities focus on creating innovative techniques, which help students to learn through knowledge sharing among the students as well as from educators. An important question for universities is how to focus on socio psychological factors that affect students’ knowledge sharing. Knowledge sharing is dependent on individual cognitions, which is one of the complex task forms. Theory of Planned Behavior is an ideal theory to understand why people choose to share knowledge in some contexts not in others. Present study investigates how attitudes, subjective norms, perceived behavioral control and personality of students affect their intention and behavior to share the knowledge.
- ItemBoard Characteristics and Dividend Policy -The Study of Banking and Finance Sector in Sri Lanka(NSBM Green University, 2018-08-25) Dissanayake, K.T.; Bandara, D.B.P.H.D.The mere motive for the researchers to seek answers for the query on payment of Dividends by companies and the affecting factors for the payment of Dividends was majorly due to the prevailing issue of problem of Dividends since 1950s. The study is based to how one of the main components of corporate governance, which is the Board characteristics, has influenced dividend policy. The data for this paper was gathered Banking and Finance sector companies in Colombo Stock Exchange taking the last 5-year figures as a base. Dividend Decision and Dividend payout were taken into reflection for the measurement of Dividend policy. And the three analytical strategies of Descriptive Statistics, Binary Logistic Regression and Panel Regression were taken as tools of analysis. Descriptive statistics were used to understand the nature of board characteristics in Banking and Finance sector of Sri Lanka. The effect on Board characteristics on dividend decision was expansively defined in Binary Logistic regression. The effect on level of dividend payout through Board characteristics were discussed through Panel regression. Descriptive statistics generated a percentage of 18.48% when finding out average of dividend payout for last 5 years. Women on board seemed to show a percentage of 11.86% in Banking and Finance sector. This concludes that board gender diversity is far less in Banking and Finance sector of Sri Lanka with an average Board size of 8.Leverage of 76% was depicted in Bank and Finance sector. The likelihood to pay dividends is affected positively by women on board, board size, CEO duality, board meetings and firm size. Audit committee size, Board independence and Leverage showed a negative relationship with likelihood of dividend payout. Out of mentioned relationships, women on board, Board size and CEO duality have a significant positive relationship with likelihood of dividend payout. It is documented that dividend payout of Banking and Finance companies listed in CSE is affected positively by Audit committee size, Board independence, Board meetings and CEO duality. Out of those variables Board independence and CEO duality had significantly positive relationship with the level of the dividend payout. Dividend payout was negatively affected by Board gender diversity and Board size. Negative relationship of Board size was significant at 0.05 significance level.
- ItemStandard Web Application for Flight Booking(NSBM Green University, 2018-08-25) Jayasinghe, T.; Kumara, B.T.G.S.; Dhanapala, W.W.G.D.S.; Kariapper, R.K.A.R.Web services are loosely coupled software components that are a popular implementation of the service oriented architecture. Web services have been extended to give value-added customized services to users through service composition. Online flight booking is a major application of Web service. Travelers are also relying more on travel review sites when booking. However, one of the major problems of development of the online reservation system is when we are connecting web services from different web service providers then we have to develop different programs to calling each of them. Because, each service providers provide different data formats as their response data. Therefore, Engineers have to learn about that from the bottom of the line. Another problem of the existing online reservation systems is reservation systems are different with each other. That is increasing the complexity of the system when using the consumer. There are not available travel agent web site standards. When a new system is built it’s hard to find the proper standard methodology. So that makes very hard to developers, architectures, business peoples to develop a system that internationally accepted. This research studies mainly focusing on defining those standards and each and every travel agency sites will be on the same standards so that the users and other parties who are involved in the travelling purpose will find very easy to use this reservation systems because there is the same standard which is internationally accepted
- ItemSri Lankan Sign Language Tutor(NSBM Green University, 2018-08-25) Fernando, K.S.S.; Wickramarathne, H.Sign Language Recognition is a challenging research area of Human Computer Interaction. This system proposes a method which recognizes signs of Sri Lankan Sign Language using Fourier Transformation, which is invariant to translation, scaling, rotation and change of starting point. It discusses about using a Centroid distance based shape signature, which is capable of preserving both local and global information of the shape. This concept would be highly beneficial for primary school students who try to learn the basics of sign language. This system will help them to practice & check their knowledge without any help of their teachers or parents. Digital Image Processing Techniques were used to obtain a closed contour image from the input image. Feature Extraction is done by using the theories of Fourier Transformation. Artificial Neural Network has been employed to train a large set of signs in order to increase the efficiency of the system. Supervised training method was used to train the neural network, which consists of 10 input nodes, 6 hidden layer nodes and 8 output nodes. The calculated weights were stored in file. The system is implemented using C# programming language and Aforge.NET framework. A still image of the sign is taken as the input for the system. The weight file, which is generated at the end of training the system for nearly 800 images of signs, was used to recognize the sign. The system will output the correctness of the sign to the user using visual indicators. The system is capable of recognizing 8 static signs of Sri Lankan Sign Language successfully.
- ItemAnalysis of Customer Feedback towards Customer Satisfaction(NSBM Green University, 2018-08-25) Alwis, D.Analysis of the Customer Relationship Management (CRM) process of an organization and the customer feedback towards business transactions is essential for the management to maintain better relationships with their customers to achieve higher performance. Organizational CRM process should be unique and successful to deal with its customers throughout the entire transactional period in an effective manner. The organization should be able to identify customer requirements and changing needs to satisfy its customers. Satisfaction with products or services motivates the customers to maintain their relationships with the organization. Dissatisfaction leads to complaining behavior and exit from the interaction. It is essential to measure the level of customer satisfaction and loyalty at different stages of the CRM process. Customer satisfaction and loyalty directly affect the corporate image and competitive advantage of the organization. The research emphasized that the organizations should establish efficient CRM and complaint handling processes to gain competitive advantage by satisfying their valuable customers.
- ItemPoster Presentation: Geographical Indications and Rural Development in Sri Lanka(NSBM Green University, 2018-08-25) De Silva, L.M.Geographical Indications (GI) identify products, which originate from a specific geographical origin where quality, reputation or other characteristics are essentially attributable to the place of origin. They create collective property rights upon the producers of the particular region. When the message of uniqueness of products formed by human factors and natural factors passed to the consumers, it is considered that it impacts the rural development positively. This research aims at identifying whether Sri Lankan GI legal framework is potential to benefit rural development. The lessons stemming from European Law and Indian Law pertaining to GIs are taken into account in this regard. This research is mainly relied upon black letter law where statutes, international conventions, legal treatises, journal articles and conference proceedings were used extensively. Furthermore, socio-legal analysis was also conducted in order to gather empirical data. The findings on EU experience reveal that GI protection has contributed to the rural development. The Indian scenario is difficult to absorb since it has been a short period from the time when the GI Act of India was established. However, there is evidence in India too which shows its contribution towards rural development. Hence, it is recommended to reshape the Sri Lankan GI legal framework in order to promote producers and the specific geographical regions.
- ItemPoster Presentation: Using Technology to Enhance Learning Among Undergraduate Business Students A Sri Lankan Case Study(NSBM Green University, 2018-08-25) Glowatz, M.; Dempsey, A.; Dowling, L.; McDonald, E.In the context of Higher Education (HE), there has been much debate about the increasing use of technology to enhance student learning. Walker et al (2016: 441) capture very well the reasons behind technology-enhanced learning (TEL) developments in HE when they highlight its role in ‘enhancing the quality of learning and teaching, meeting student expectations and improving access to learning for students off campus’. However, while it has been argued that technology has not fundamentally changed teaching practices (Henderson et al, 2017; Kirkwood and Price, 2013), students report how several technologies and applications have helped with their learning, research and collaborative activities (Henderson et al, 2017). If, as Selwyn (2016: 1006) suggests, ‘digital technology is now woven deeply into the fabric of university teaching and learning’, a better understanding is needed of students’ satisfaction with the level of technology usage and also their experiences of effective and ineffective use of digital tools and technologies to enhance their learning. The paper aims to address the question posed by Kirkwood and Price (2014: 7) of ‘how technology enhances learning and what value is being added to learners’ experiences’. It focuses on two particular aspects of technology usage in HE: (1) to what extent are students’ expectations regarding the level of faculty usage of technology and digital applications met? and (2) what positive and negative experiences have students had regarding faculty usage of digital tools and technologies to enhance learning?. To address these questions an exploratory study was undertaken at University College Dublin’s (UCD) College of Business. An online survey was distributed to 6,956 students enrolled across four campus locations Dublin, Singapore, Hong Kong and Sri Lanka – and 1,009 survey responses were received. The sample included full-time and part-time students enrolled on undergraduate and graduate taught business programmes in the 2017/18 academic year. This research paper focusses on UCD College of Business’ students completing their undergraduate degree in conjunction with the National School of Business Management (NSBM) in Sri Lanka. The survey was distributed to a total of 1141 students in Sri Lanka with a response rate of 123 representing just over 11% of the sample size. The survey was designed to explore three key aspects of technology in HE: ownership and use of technology devices and applications; lecturers’ use of technology devices and applications; and students’ own evaluation of their digital skills. Considering the role of lecturers as facilitators and curators of student learning, only findings relating to the second aspect of the survey – lecturers’ use of technology devices and applications – are reported on in this paper. An initial cohort analysis of the responses by age, campus location, mode of study (full-time/part-time) and level of study (undergraduate/graduate) revealed very few differences in students’ expectations and experiences of the use of technology and applications. Overall, though, the findings provide a considerable degree of confidence that students’ initial expectations of technology usage are being met. Over three-quarters of respondents reported that their lecturers use technology and applications for teaching-specific purposes either more than or at least as much as they had expected. However, a significant percentage of respondents would like to see their lecturers make even greater use of technology and applications and almost half suggest that a greater use of technology could potentially improve class attendance and active participation by students in the classroom. In examining how technology might improve a student’s learning, respondents gave 372 examples of an effective use of technology by a lecturer. Many of these examples relate to the use of video; quiz/polling tools; gamification; PowerPoint slides; lecture capture; online classes; and several application-specific tools. 166 examples of an instance of technology usage that did not support an individual’s learning were also cited. Among these examples include lecturers’ reliance on the use of PowerPoint and video; non engaging content; the look, feel and functionality of the learning management system (LMS); lecturers who do not use the LMS; lecturers who prohibit the use of laptops in the classroom; and problems with the technological infrastructure. While the literature may suggest that students are not actively calling for universities and faculty to dramatically increase their use of technology and that they prefer a more moderate use of technology in their studies (Caruso et al, 2005; Lohnes and Kinzer, 2007), our research highlights students’ desire for even greater technology usage in the classroom. The results of the study are used to further develop the TPACK (technology, pedagogy, and content knowledge) framework developed by Koehler and Mishra (2009). The results will also provide faculty with examples of technology tools and applications that support student learning and these examples may be useful when designing modules and planning classroom delivery with a view to maximizing student learning and engagement.
- ItemUnique Selling Propositions of MICE Tourism for Sri Lanka - A Conceptual view(NSBM Green University, 2018-08-25) Wanigasekara, V.; Dilrukshi, S.MICE, although represents Meetings, Incentives, Conferences, Exhibitions and Events has become a fashionable work with the emphasis made by both Government tourism Authorities and Tourism Industry members and yet Sri Lanka has been lagging behind giants like Singapore, Malaysia and Thailand. It is common acceptance that MICE tourists spend three times over leisure traveler and there is gamut of benefits from MICE tourism special the spin off benefits such as promotion of trade, investment and indirect employment. This paper identifies the basic issues in developing the MICE industry in Sri Lanka, which includes recognizing the terminology ‘MICE’ and identifying different strategies for each component of MICE. In the light of that Sri Lanka needs to identify the Unique Selling Propositions (USPs) in MICE in each component prior to developing a product market strategy. The paper also describes strengths and weaknesses in each area and recommends the approach that needs to be taken jointly by the Government through tourism authorities, industry members, Sri Lanka Airlines, and other stakeholders of the MICE industry. It is necessary that Sri Lanka differentiate herself from the competitors by using the USPs especially for meetings and Incentives while conference requires changing of present strategy altogether thus shifting responsibility equally between the Government and Industry.
- ItemPoster Presentation: Video Based Vehicle Tracking and Monitoring System(NSBM Green University, 2018-08-25) Igala Guruge, V.; Jayamanne, D.Computer vision technology has paved the way to process video based traffic monitoring as an alternative way to traditional monitoring methods. In vehicle traffic monitoring, there are three main tasks namely vehicle detection, tracking and classification. This paper presents a feasible solution for vehicle detection, tacking and classification from a video via extracting and analyzing video frames. The background is modeled using a background model and the foreground is estimated using background subtraction. Then after applying morphological operations, the presence of a vehicle is detected on the foreground and classified according to its type. The system is also able to count the number of vehicles with in a defined region of interest.
- ItemFrom Crisis to Character Leaping Through the Waves of Calamity- A Conceptual Framework(NSBM Green University, 2018-08-25) Cooray, R.; Gunasekara, H.A crisis is an unexpected change that poses a challenge to the natural equilibrium of an individual or an organization. All of us face crises during our lifetimes. However, some individuals thrive in crises emerging strong while others struggle. The Crisis to Character (C2C) Model was conceptualized to understand the process one goes through in the face of calamity. Research evidence based on the model will enable scientists and practitioners understand the process of recovery following a crisis, the meaning of old and new equilibriums and the factors that predict positive outcomes following a crisis. This model can also be used to draw cross cultural comparisons.
- ItemInformation Technology Based Approach for Management of Forest Fire Controlling in Sri Lanka(NSBM Green University, 2018-08-25) Oruthotaarachchi, C.R.Forest fire is one of the hazardous disasters that damage human lives and properties all over the world. However, there are several drawbacks in the existing forest fire controlling procedure in Sri Lanka. This concept paper presents a proposed study to develop a framework for dynamic resource allocation during a forest fire situation to mitigate the identified drawbacks. After reviewing the existing ICT based approaches available for dynamic resource allocation during disasters and their applicability for Sri Lankan context, a web based forest fire controlling system will be proposed. The proposed study reveals that the government of Sri Lanka as well as the citizens get benefits by adopting such ICT based solution to handle forest fires.
- ItemData Mining Approach to Analysis and Prediction of Movie Success(NSBM Green University, 2018-08-25) Kudagamage, U.P.; Banage, T.G.S.K.; Baduraliya, C.H.Data mining is a very efficient approach to uncover information which will both confirm or disprove common assumptions about movies, and it also allows us to predict the success or failure of a future movie using the known information about the particular movie before its release. The main aim of this study is to analyze data mining approaches to explore the attributes affecting the success or failure of a movie. Each and every data mining algorithm provides separate prediction accuracy details. This study integrates four data mining algorithms (Decision Trees, Naïve Bayes, Support Vector Machine, Neural Networks) and an Ensemble approach in order to address the intriguing problem of the movie success prediction and also demonstrates the correlation between success or failure of a movie and different attributes of movies like Opening weekend Gross, Sequel, Theaters, Budget, Genre, Distributors, Country, IMDB Rating, MPAA Rating, Run Time etc. The prediction performance of these models has been evaluated using Accuracy, Precision, Recall, F-Measure, MCC, ROC Area, PRC Area, Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) etc. Further, a spatial clustering technique called the Associated Keyword Space (ASKS) was applied for this study, which is effective for noisy data and projected clustering result from a three dimensional(3D) sphere to a two dimensional(2D) spherical surface for 2D visualization. Similarities between movies were calculated using the Cosine Similarity and these affinity values were used for this clustering model. Movies were categorized under the success or failure of movies by clustering them into four clusters as Most Successful Movies, Successful Movies, Unsuccessful Movies and Least Successful movies. Experimental results show the most effective attributes towards the success or failure of a movie out of these movie attributes considered in this study. Moviemakers can use these results to identify which movie attributes are the most effective and can consider them for the success of their future movie productions. Also, using the Correlation Coefficient, a mathematical model that can be used to predict the movie’s success or failure is proposed in this study.
- ItemSri Lankan Travel & Tourism Industry: Recent Trends and Future Outlook towards Real Estate Development(NSBM Green University, 2018-08-25) Munasinghe, L.M.; Ariyawansa, R.G.; Gunawardhana, T.Tourism is considered as an important economic activity around the world due to its direct economic impact as well as it's significant indirect and induced impacts. According to the World Travel and Tourism Council, Travel & Tourism industry is one of the world’s largest economic sectors accounts for 10.4% of global GDP and 313 million jobs, or 9.9% of total employment, in 2017. Direct and indirect impact of this on real estate development in the world is tremendous in terms of accommodation, catering to food and beverages, leisure pleasure & relaxation and so on. In Sri Lanka, tourism is the third largest export earner in the economy and during the past five years, there has been an unprecedented growth in the industry. But tourism in Sri Lanka has much more untapped potential where the industry is poised to offer great growth and investment potential. And through right policies and investment decisions, Sri Lanka can leverage the economic prospects of Travel & Tourism Industry. This study analyses the importance of travel & tourism industry in terms of real estate development and reviews major trends that are shaping the growth and development of the travel & tourism industry in Sri Lanka. This will be important to policymakers in preparing right policies and in making the right investment decisions. The analysis is based on modified Tourism Satellite Account: Recommended Methodological Framework 2008 (TSA: RMF 2008) published by World Travel & Tourism Council, and carried out analyzing both academic and non academic publications, including published journal articles, annual and quarterly reports published by United Nations’ World Tourism Organization, World Travel & Tourism Council, World Economic Forum and Sri Lanka Tourism Development Authority and through the raw data obtained by World Travel & Tourism Council for Sri Lanka. As per the analysis, the future outlook is bright for the tourism sector in Sri Lanka, and the country is expected to maintain a high rate of growth well into the next decade.
- ItemPoster Presentation: A Semiotic Analysis of Visual Representations And Perceptions of Kandyan Buddhist Narrative Art(NSBM Green University, 2018-08-25) Edirisinghe, E.A.J.S.This research specially focuses on visual semiotics of Buddhist narrative art in Sri Lankan context. To be precise the visual syntax and iconology used, their representations and perceptions will be analyzed in depth. Connecting semiotics and cognitive perspective is beneficial and the interdisciplinary approach would lessen the potential ambiguity of visual anthropology. Developing a new meta language for art interpretation of non-western art traditions is crucial. Panofsky’s theory of iconography and iconology has been adopted as the starting point and other different approaches are also been considered in analyzing and interpreting the Sinhalese Buddhist art tradition of Kandyan era. It was argued by some researchers that Panofsky’s conceptual model is more biased towards Western art tradition but ignores or rather misrepresents artistic traditions of non- Western cultures. Artistic traditions emerge and evolve based on many factors such as context, artist and purpose etc. Therefore, art strives for transparency and stable interpretation. Yet, art interpretation is not an easy task as it needs familiarization of many other disciplines such as poetry, literature etc. parallel to the particular art tradition. Furthermore, believes and socio-cultural background of the era should also be taken into consideration. The intermingling nature of different fields has made the identification, description or interpretation of art complicated. Semiotic theory (Saussure, 1959; Culler, 1986) and visual rhetoric (McQuarrie and Mick, 1996; Scott, 1994) hold that visual language predominantly varies from one culture to another; much in the same way that textual language varies. As the recipients of the visual messages may not be a homogenous group, their interpretations of visual messages will always vary. Yet, the author intends to analyze culturally defined symbols with special reference to Kandyan Buddhist narrative art thoroughly through the study in order to come to inferences.
- ItemOil Demand In Sri Lanka-An Econometric Approach(NSBM Green University, 2018-08-25) Munasinghe, H.A.H.C.; Cooray, T.M.J.A.This study examines the effect of economic variables, Gross Domestic Product (GDP), Foreign Direct Investment (FDI), Population and Oil Price on oil consumption in Sri Lanka using an Error Correction Model. Yearly data of oil consumption, Goss Domestic Product (GDP), Foreign Direct Investment (FDI), Sri Lankan population and crude oil price during the period 1988 – 2013 were used in the analysis. All the data have been obtained by the online data sources of World Bank and United States energy information administration. This research involves estimating the elasticity of Gross Domestic Product (GDP), Foreign Direct Investment (FDI), Sri Lankan population and crude oil price on crude oil consumption in Sri Lanka. Unit root test confirmed that series are not stationary in its levels but they are stationary in first difference. Therefore the study uses the Engle-Ganger cointegation method to create a dynamic short run model. Also Chow - break point test was used to test the significance of a structural break down in the data set and the dummy variable was significant in allowing for the structural change. The Vector Error Correction (VEC) model finds that Gross Domestic Product (GDP), Foreign Direct Investment (FDI), population and oil price are determinants of the oil demand. It shows that in the long run only FDI increases the overall oil demand while GDP and population increase the oil demand in the short run. By using the selected model, oil demand was forecasted and the Mean Absolute Percentage Error (MAPE) of the fitted model was found less than 5 percent. Therefore the fitted model is recommended as the suitable model to forecast oil demand. As the crude oil storage is a common problem in Sri Lanka, forecasting oil demand can be used to find the solutions for the challenges in the petroleum sector.
- ItemGender Based Segmentation Analysis of Suicide Rates in an Emerging Economy(NSBM Green University, 2018-08-25) Dissanayake, S.Psychographic segmentation analysis is considered as a cornerstone in assessing human psychology. It’s a statistical technique that has been extended in the recent past to subject areas considered as social burdens such as suicide. Suicidal tendencies based on gender based issues such as harassment, mental disorders and sexual incapacity have been the focal point of many a research psychologist. In such a context the application of statistical segmentation analysis to examine gender based suicide data of a secondary nature becomes a worthwhile proposition. Suicide is widely considered as a major social burden in Sri Lanka and it is validated by various credible benchmarks. Therefore application of segmentation methodology by segregating data from an emerging economy such as Sri Lanka at multiple variable levels to create enlightening output information becomes the core contribution of this paper. It provides deeper insights in terms of the influence of various factors towards suicide. As a secondary contribution to the existing body of knowledge social and cultural interpretations in terms of the findings are provided for clarity and completeness.
- ItemCustomer Churn Analysis and Prediction in Telecommunication for Decision Making(NSBM Green University, 2018-08-25) Alwis, P.K.D.N.M.; Kumara, B.T.G.S.; Hapuarachchi, H.A.C.S.With the rapid development of communication technology, the field of telecommunication faces complex challenges due to the number of vibrant competitive service providers. Customer Churn is the major issue that faces by the Telecommunication industries in the world. Churn is the activity of customers leaving the company and discarding the services offered by it, due to the dissatisfaction with the services. The main areas of this research contend with the ability to identify potential churn customers, cluster customers with similar consumption behavior and mine the relevant patterns embedded in the collected data. The primary data collected from customers were used to create a predictive churn model that obtain customer churn rate of five telecommunication companies. For model building, classified the relevant variables with the use of the Pearson chi-square test, cluster analysis, and association rule mining. Using the Weka, the cluster results produced the involvement of customers, interest areas and reasons for the churn decision to enhance marketing and promotional activities. Using the Rapid miner, the association rule mining with the FP Growth component was expressed rules to identify interestingness patterns and trends in the collected data have a huge influence on the revenues and growth of the telecommunication companies. Then, the C5.0 Decision tree algorithm tree, the Bayesian Network algorithm, the Logistic Regression algorithm, and the Neural Network algorithms were developed using the IBM SPSS Modeler 18. Finally, comparative evaluation is performed to discover the optimal model and test the model with accurate, consistent and reliable results.
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