Abstract Consumer‘s reviews provided with the product descriptions play a great role in the popularity of E-commerce Web sites. However, there are various products, which have thousands of user generated reviews. Mining this enormous online reviews and tuning these abundant individual consumers view into collective consumer‘s choice became a challenging task. These collective reviews aid in product improvement processes, ranking of... Consumer‘s reviews provided with the product descriptions play a great role in the popularity of E-commerce Web sites. However, there are various products, which have thousands of user generated reviews. Mining this enormous online reviews and tuning these abundant individual consumers view into collective consumer‘s choice became a challenging task. These collective reviews aid in product improvement processes, ranking of various products, and many other such operations. This paper proposes a hybrid Multi-Criteria Decision Making (MCDM) approach for product ranking. The proposed approach consists of two steps: 1) Buckley Analytic Hierarchy Process (AHP) to find out the relative weights of evaluation criteria and, 2) Ranked Voting Method (RVM) to determine rank of cell phone alternatives. Experiment is carried on real dataset collected from Amazon web sites. We have also compared our AHP-RVM approach with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Read More Read Less

Abstract Developing a mashup service is possible with integrating different functionalities and their data from different clouds. For example, one of the popular website twazzup.com contains some features from different sources like tweets from Twitter, images taken from Flicker, and new updates based on search terms we entered. Here we discussed advantage of using Enhanced Map reduced service in Multi-cloud Mashup service. We... Developing a mashup service is possible with integrating different functionalities and their data from different clouds. For example, one of the popular website twazzup.com contains some features from different sources like tweets from Twitter, images taken from Flicker, and new updates based on search terms we entered. Here we discussed advantage of using Enhanced Map reduced service in Multi-cloud Mashup service. We compare three popular MapReduced Skyline algorithms- MR-Angle[19], MR-Bitmap[37], MR-GPMRS[24] with the evaluated results taken from different sources. In this paper we tried to select best MapReduced skyline algorithm suitable for implementation of parallel processing to improving Mashup Services. Read More Read Less

Abstract During the Global Financial Crisis in 2008, supply exceeded demand in Information Technology (IT) services. Indeed, IT organizations reduced IT budgets to meet the competition within IT business, which prompted IT managers to look for more cost-effective solutions. Arguably, ASD methods fit the new wave of strategic software development methodologies with cost-effective approaches. In fact, ASD enables IT companies to achieve more for... During the Global Financial Crisis in 2008, supply exceeded demand in Information Technology (IT) services. Indeed, IT organizations reduced IT budgets to meet the competition within IT business, which prompted IT managers to look for more cost-effective solutions. Arguably, ASD methods fit the new wave of strategic software development methodologies with cost-effective approaches. In fact, ASD enables IT companies to achieve more for less and develop sophisticated projects with insignificant resources. However, many IT organizations are still using rule-of-thumb practices to measure the quality of ASD projects instead of using standardized quality measurements. Additionally, the emergence of Strategic Alignment (SA) and Strategic Information Systems (SIS) predetermined the need for measuring ASD quality in order to optimize it and turn it into a competitive advantage. Motivated by the lack of research in this area, this quantitative research aims to study the strategic impact of integrating quality measurements with ASD, quantify it, and develop a model to predict its outcome. Indeed, the research tests the relation between quality measurements and ASD using independent t-test design. Based on the results, the research develops a DSS using machine learning algorithm. Arguably, this research provides an empirical assessment of the process of integrating quality measurements with ASD and reduces gaps in this research area. To begin with, the research contains seven sections; these sections are introduction, methodology, results and analysis, recommendations, conclusions, limitations, and future works. The introduction section introduces the research problem with literature review. After that, the research presents the methodology with analysis to conceptual framework and experiment details. Furthermore, the research presents the experiment results with a detailed analysis to pilot study, dataset, independent t-test, and the regression model. Based on the regression model, the research developed a DSS. Finally yet importantly, the research summarizes recommendations, conclusions, limitation, and future works. Read More Read Less