2018 : Business Resurgence & Green Living
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- ItemA Case Study On Customizing The Microsoft Time Series Algorithm: Tourist Arrival Prediction(NSBM Green University, 2018-08-25) Nawzer, H.; Weerasekara, M.K.As far as tourism is concerned in Sri Lanka, it is considered as one of a lucrative industry for the country. On the other hand, in the modern computing era business intelligence plays a revolutionary role in uplifting the profits of business organizations. The research is about how the Microsoft Time Series algorithm can be improvised to predict the arrival of tourists. The algorithm employed for the tourists who arrived for Sri Lanka in past few decades. Furthermore, this study discusses the drawbacks of the existing Microsoft Time series algorithm concerning the consideration of the external factors which affects the prediction. Also, this study discusses some of the possible solutions to overcome that issue.
- 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.
- ItemAnalysis of Financial News Using Natural Language Processing and Artificial Intelligence(NSBM Green University, 2018-08-25) Khant, A.; Mehta, M.The task of analysis of financial news uses state of-the-art Natural Language Processing (NLP) and Artificial Intelligence (AI) techniques. The paper demonstrates how NLP techniques can be used to provide succinct summaries, identify keywords and determine sentiment of a certain news article. These features can then be used to make informed decisions that are based on recent, relevant reports. This paper also exhibits a methodology of identifying impact investment using a Naive Bayes Classifier, which can be extended to other financial terminology. We find that the usage of NLP and AI techniques such as sentiment analysis and keyword extraction enhance the information presented in online news articles by filtering out irrelevant content.
- ItemAutomation of Scoring Creditworthiness Using Optical Character Recognition and Probability of Default Calculation Algorithms(NSBM Green University, 2018-08-25) Khant, A.; Chandran, P.; Mehta, M.The automation of determining creditworthiness requires the machine to automatically gather and analyze finan cial data. Current methods require several man hours of data entry and analysis of data to assess a single case. This paper demonstrates the usage of state-of-the-art Optical Character Recognition (OCR) and Computer Vision (CV) techniques to gather data automatically from scanned documents in a format that can be used to process and analyze data further. This paper also details the novel automation of analysis of the extracted data to find the probability of default (PD) for a specific case. We find that this process reduces the turn around time of granting loans and minimizes human interactions and biases.
- 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.
- ItemCity Tour Bus Locator and Bus Booking Mobile Application(NSBM Green University, 2018-08-25) Chandrasiri, S.; Hettiwatte, S.N.The public bus transportation system has the direct impact on economic development of the country. Scheduling, tracking and monitoring of the public bus transportation is one of the major issues for any public transportation sector. Currently, there are many vehicles tracking systems available using Global Positioning Systems (GPS) technology. At present, bus passengers are unable to gather enough information which would lead up to a stress-free bus ride. Under current conditions a passenger has to wait in the bus stand without having any prior idea about the buses.‘CityTour’ application assists passengers and the conductor to use bus service in more stress-free, well-organized and a suggestive manner. “CityTour”, is the cross-platform application implemented with the sole purpose of addressing these problems a passenger has. The application will predict the next Bus’s arrival time, seat reservation and a rating which will give an indication regarding the quality of the service offered. Bus conductor has a say in whether a passenger gets a seat or not. ‘CityTour’ application enables the “real-time” passenger bus communication that would lead to a better collaboration and make their day-to-day work easier for both the parties.
- ItemCoaching for Excellence: A Case Study in Growing Leaders with a People Development Mindset(NSBM Green University, 2018-08-25) Silva, P.; Cooray, R.; Booso, K.The paper is an evaluation of a coaching training initiative at a technology organization, as means of developing “people development” competency within the leaders. Organizations in which leaders adopt coaching. The coach training initiative presented in this paper was based on the P3 GROWTHS Model, a coaching model for developing transformational leaders. The presently evaluated program utilized intensive workshops and supervised paper coaching sessions to develop key skills; skills were assessed at various points, and findings indicated a positive improvement in skill indicating effectiveness of the program. The findings have positive implications for the use of the P3 GROWTHS Model in developing leaders inclined for people development.
- ItemCrucial Factors that Affect Shortage of Skilled Workers for Construction Projects(NSBM Green University, 2018-08-25) Agalawatta, T.This research paper defines the most crucial factors affecting to skilled worker shortage and ways to overcome from this issue with their significance outcome. Construction projects are frequently subject to problem of skilled worker shortage, which constrains project execution. Since construction is a worker intensive industry, the shortage of worker has become the crucial risks that hindering the construction project in achieving its success. However, by conducting this research the researcher may address the specific objectives of this research as well which basically finds the relationship of crucial factors with the skilled worker shortage. However, in order to conduct this research on this topic the researcher may analyse the existing knowledge on this skilled worker shortage.
- 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.
- 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.
- ItemDescriptive Analysis of Newspaper Job Vacancy Advertisements as a Recruitment Method: In Sri Lankan Context(NSBM Green University, 2018-08-25) Dissanayake, D.; Rajapaksha, T.Recruitment is one of the remarkable functions in Human resource management due to its importance and relevance for being successful in achieving pre-desired goals via suitable and appropriate employees. Newspaper job dvertisements have become popular recruitment method due to its inherent advantages compared to other recruitment methods. The survey of newspaper job vacancy advertisements as a recruitment method in Sri Lankan context attempts to verify trends of Sri Lankan newspaper job vacancy advertisements in terms of eleven newspaper job advertisement characteristics; job category, size, appearance, etc. The Sunday Observer is one of the prominent medias for job vacancy advertisement that is being used by several organizations in Sri Lanka. In that case, source of data collection for this research relied on the Sunday Observer vacancy advertisements. Through analyzing 800 newspaper advertisements during the period of 06 months in 2014, it is identified that majority of job advertisements are reported in the field of marketing related advertisements, second highest demand found to be in accounting related jobs and next, jobs on operations management. Majority of job advertisements are neither picture oriented and nor colored advertisements. Sample statistics says, most of organizations have reluctant to reveal remuneration packages in their advertisements but they interest to publish their advertisement as open advertisement. The findings of the study is empirical significant for existing literature in Sri Lanka context while practically significant for top management, human resource managers/decision makers of corporations and general job seekers for their job related decisions.
- ItemDrivers Nurturing the Adoption of Green Initiatives in a Developing Economy(NSBM Green University, 2018-08-25) Gunasekara, L.; Wang, H.As far as developing economies such as Sri Lanka are considered, industries’ concern towards environment is comparatively low and the knowledge on GSCM is also considerably less. It is therefore important to identify the motivators for firms in developing nations to adopt GSC initiatives. The target population of this study were manufacturing firms in Sri Lanka. Senior managers or executives from respective firms were chosen as the representatives from each firm. The population was represented through a convenience sample of firms covering the entire country including the nine provinces and the main industrialized areas. An online survey questionnaire was administered to collect data from the ample. The research reveals four crucial drivers of green supply chain adoption that collectively affect a firm’s adoption of Green Supply Chain initiatives. Organizational characteristics, Customer pressure, Corporate Social Responsibility and, Branding advantage are the identified drivers. The research results lead to some practical implications for advancing green practice adoption in Sri Lankan manufacturing industry. Firms need to be committed to, and sustain top anagement support, improve human resource capabilities, improve and make organizational resources easily available for their employees. Large and foreign customer firms should formulate regulations that their suppliers must adopt certain GSC initiatives such as acquiring ISO 14000 certification. The government, financial aid organizations, society and the supplier groups must re-evaluate their current actions and think of better approaches to motivate firms to adopt GSC initiatives. Future studies can use the findings and the proposed model to other countries, industrial sectors, and green practices.
- ItemEmotional Intelligence for Effective Leadership at Workplace: A Review(NSBM Green University, 2018-08-25) Amarathunge, B.Leadership is a vital element in achieving organizational success. Intelligent leaders are essential to possess multiple intelligences in order to be successful. Emotional Intelligence (EI) has been a vital factor among multiple intelligences identified as required for effective leaders. The recent focus of management researches has been considering the importance of application of head and heart in the workplace to improve the performance of employees. Emotional Intelligence is identified as the means of connecting the thinking and feeling process of people. In leadership, dealing effectively with emotions may contribute to how one handles the needs of individuals, how one effectively motivates employees, and makes them `feel’ at work. Thus, the objective of this review is to explore the concept of Emotional Intelligence and to discuss its relevance to Effective leadership at workplace based on the existent literature.
- 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.
- 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.
- 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.
- ItemGoing Green at Office: Lessons Learned on Empowering Green Practices in Sri Lankan Employees.(NSBM Green University, 2018-08-25) Paulis, D.V.H.N.; Alex, A.S.Successful targeting of workplaces for empowerment of sustainable practices is critical as majority of time spent by an adult is at a workplace. This study focuses on identifying an effective management tool to enforce such sustainable practices at workplaces. Two samples were selected in two workplace locations in Sri Lanka and observational test was carried out for 3 months. It was concluded that planned behaviour model was more effective than innovation adoption model. Thus, rules and regulations should be imposed along with strong leadership for successful initiation of green practices in an emerging economic office context.
- ItemGoverning Environmental Sustainability: A Literature Review(NSBM Green University, 2018-08-25) Sapraz, M.; Han, S.Environmental sustainability is the most important global challenge. All governments in the world are recommended to address this challenge by using digital technologies and their applications. Scientific evidence has shown that human behaviors contribute significantly to the deterioration of the natural environment. Therefore, this is crucial that governments can exploit the benefits of digital technologies to engage their citizens to handle/govern environmental sustainability. In this paper, we conduct a systematic literature review and aim to deepen our understanding of the interrelationships between e-government, citizen participation, and environmental sustainability. The results show that the research that explores this crucial interrelationship is surprisingly rare. Therefore, more future study is called for contributing more knowledge towards this research focus.
- ItemHealthXStream: A Privacy Focused Doctor Meetup Solution for the General Public(NSBM Green University, 2018-08-25) Dissanayake, S.; Jayamanne, D.“HealthXStream” is a privacy oriented, fully secure, health monitoring platform where patients and doctors get connected with each other to solve non-severe health problems. There are very few software applications in the world providing consumer grade doctor meetups through the mobile phone. Even from that few, “HealthXStream” being unique as it provides the real-time pulse rate and the temperature while providing the privacy at its peak. And it is the only health monitoring application with privacy in mind which complies to the European legislations. Doctors and the Patients are the main actors where the patients could chat with the doctor, while the pulse rate/body temperature streamed. This solution is mainly targeted to people in senility and for the people who are not preferring to move outside to meet the doctor. This will address the issue of inconvenience in accessing the doctor in a senility environment where privacy and security matters.
- ItemICT Supported Interventions for Occupational Stress Management Theory to Practice(NSBM Green University, 2018-08-25) Weerasekara, M.K.Occupational stress has become a key source of stress among working population which has created numerous negative impacts on the community and of worldwide organizations, and they are expected to become a major health hazard in the forthcoming decades. During the investigation, the researcher will aim to identify the work- stress indicators and their impact on employee job performance. The study will also examine how employees cope with occupational stress whether the coping strategies are positive or negative. During the next round the researcher will design and develop ICT supported stress intervention toolkit for occupational stress management. ICT Supported health intervention is a phenomenon that has grown stronger in recent years. A large number of web and mobile-based health communities/applications has contributed to a shift: from formal healthcare providers being the only source of help for most patients to a situation in which patients take an active part in each other’s struggle for health and recovery. Also, for people with different lifestyle issues, the health communities have become widely used for advice and support. Through the interaction with others, patients and other people with health concerns can get help to access relevant resources, develop their ability to make personal decisions and exercise critical thinking. They get support to develop skills and abilities along with a more positive self-image. This is also referred to as ‘patient empowerment.’
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