ICMR 2019

4th Interdisciplinary Conference of Management Researchers “Sharing & Inclusion for Shaping the Future”

2021-01-05T04:19:56Z

4th Interdisciplinary Conference of Management Researchers “Sharing & Inclusion for Shaping the Future”

DATA MINING APPROACH FOR CUSTOMER REVIEW BASED PRODUCT RANKING IN ONLINE PRODUCT RECOMMENDATION

2021-01-04T14:22:40Z

DATA MINING APPROACH FOR CUSTOMER REVIEW BASED PRODUCT RANKING IN ONLINE PRODUCT RECOMMENDATION Hettikankanama, H.K.S.K; Vasanthapriyan, S.; Rathnayake, R.M.K.T Product recommendation systems use ratings from users to rank products. There’s a gap between analyzing user ratings and reviews in purchase decision making process. 97% people read reviews to confirm product quality and trust reviews than ratings. This research proposes a data mining and machine learning model to rank products based on textual reviews. When considering methodology and design of this study, a survey was conducted and outcomes show a needfulness of using reviews in ranking. A model to rank products considering review sentiment polarity is proposed and implemented using Python programming language. Well-structured unique workflow of data pre-processing, sentiment-polarity estimation, algorithm training for high accuracy, best algorithm selection, value prediction and calculation for ranking products for recommendation is used. As the results, Survey indicates that 98.8% of people read reviews though the star rating is presented. 85.8% say they trust this kind of system more. Among four algorithms, K-Neighbors algorithm was proposed as best performing algorithm for value prediction for this type of research. Products were successfully ranked based on sentiment score. Most of existing researches are proposal researches while this is an implementation research. Proposed algorithm and model with high accuracy can use as base for future researches. Illustrated Python implementation method also can be used for future work. There are some practical implications as Fake review generation can mislead the outcomes and reviews from other languages, rather than English, will not be considered for calculations and have to train and create lexical database for other languages.

THE IMPACT OF PERCEIVED RISK ON ONLINE PURCHASE INTENTION OF ONLINE SHOPPERS IN COLOMBO DISTRICT

2021-01-04T14:19:33Z

THE IMPACT OF PERCEIVED RISK ON ONLINE PURCHASE INTENTION OF ONLINE SHOPPERS IN COLOMBO DISTRICT Munasinghe, A.B.I; Ushantha, R.A.C.; Rathnayaka, R.M.K.T The present study tends to provide an in-depth knowledge about the perceived risks associated with the peoples who do their purchases through internet. The study focused on perceived risks and analyzed the relative significance of perceived risk dimensions on intention to shop online. Survey data was collected from 384 online shoppers by using convenience sampling method and 318 usable self-administered online questionnaires were used for further analysis. Multiple and linear regressions were used to achieve the research objectives and to test the research hypotheses. The results of this study were revealed that there is a significant negative impact of perceived risk (β = -1.069, ρ<0.000) on online purchase intention. Further it was revealed that there is significant negative impact of product risk(β = -0.200, ρ<0.000), security risk(β = -0.438, ρ<0.000), time risk(β = -0.140, ρ<0.000), and psychological risk (β = -0.206, ρ<0.000) on online purchase intention respectively while there was no impact of financial (β = - 0.019, ρ>0.607)and social risks (β = -0.014, ρ>0.743)on online purchase intention. This in-depth knowledge about online shoppers’ perceived risk on intention to shop online directly affects the online shopping performances for achieving a better ecommerce market in Sri Lanka. This research will add practical implications for online retailers on designing their product information, security policies, safety and privacy mechanisms and selecting shipping service providers.

THE IMPACT OF E-SERVICESCAPE ON CONSUMERS’ ONLINE PURCHASE INTENTION TOWARDS ONLINE RETAIL WEBSITES IN SRI LANKA: THE MEDIATING EFFECT OF WEBSITE TRUST

2021-01-04T14:15:48Z

THE IMPACT OF E-SERVICESCAPE ON CONSUMERS’ ONLINE PURCHASE INTENTION TOWARDS ONLINE RETAIL WEBSITES IN SRI LANKA: THE MEDIATING EFFECT OF WEBSITE TRUST Athapaththu, A.M.B.T; Rathnayaka, R.M.K.T; Ushantha, R.A.C. E-servicescape is an imperative aspect for online retailers to build website trust and consumers’ online purchase intention. The purpose of this study is examining the impact of e-servicescape on consumers’ online purchase intention and the mediating effect of website trust on the relationship between e-servicescape and consumers’ online purchase intention. Furthermore, the quantitative research approach and explanatory research design were employed. An online questionnaire survey was used to distribute self-administrative questioners among 384 online consumers’ in Colombo District, Sri Lanka and 290 usable questionnaires were analyze using simple linear regression, multiple linear regression and Sobel test. The empirical results revealed that e-servicescape significantly and positively impact on the consumers’ online purchase intention (β=0.899; P=0.000) while website trust positively and significantly impacts on consumers’ online purchase intention (β=0.519; P=0.000) and website trust mediate relationship between e-servicescape and consumers’ online purchase intention (P=0.048). This research will add practical implications for online retailers in designing their websites. Thus, this study will enrich and contribute to knowledge in online shopping in general in Sri Lankan context. Furthermore, improve e-servicescape to building website trust and motivating consumers’ purchase intention.