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Table Of Contents Jitim Vol 27 Issue 4, 2018-2019

Journal of International Technology and Information Management

ToC JITIM - Special Issue on ICT4D

Table Of Contents Jitim Vol 28 Issue 1, 2019

Journal of International Technology and Information Management

Table of contents

A Multilayer Secured Messaging Protocol For Rest-Based Services, Idongesit Efaemiode Eteng

Journal of International Technology and Information Management

The lack of descriptive language and security guidelines poses a big challenge to implementing security in Representational State Transfer (REST) architecture. There is over reliance on Secure Socket Layer/Transport Layer Security (SSL/TLS), which in recent times has proven to be fallible. Some recent attacks against SSL/TLS include: POODLE, BREACH, CRIME, BEAST, FREAK etc. A secure messaging protocol is implemented in this work. The protocol is further compiled into a reusable library which can be called by other REST services. Using Feature Driven Development (FDD) software methodology, a two layer security protocol was developed. The first layer is a well hardened …

Table Of Contents Jitim Vol 28 Issue 4, 2019

Journal of International Technology and Information Management

Table of Contents

Assessment Of Adaptability Of A Supply Chain Trading Agent’S Strategy: Evolutionary Game Theory Approach, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

With the increase in the complexity of supply chain management, the use of intelligent agents for automated trading has gained popularity (Collins, Arunachalam, B, et al. 2006). The performance of supply-chain agents depends on not just the market environment (supply and demand patterns) but also on what types of other agents they are competing with. For designers of such agents it is important to ascertain that their agents are robust and can adapt to changing market and competitive environments. However, to date there has not been any work done that assesses the adaptability of a trading agent’s strategy in the …

Towards Developing A Goal-Driven Data Integration Framework For Counter-Terrorism Analytics, Dapeng Liu

Theses and Dissertations

Terrorist attacks can cause massive casualties and severe property damage, resulting in terrorism crises surging across the world; accordingly, counter-terrorism analytics that take advantage of big data have been attracting increasing attention. The knowledge and clues essential for analyzing terrorist activities are often spread across heterogeneous data sources, which calls for an effective data integration solution. In this study, employing the goal definition template in the Goal-Question-Metric approach, we design and implement an automated goal-driven data integration framework for counter-terrorism analytics. The proposed design elicits and ontologizes an input user goal of counter-terrorism analytics; recognizes goal-relevant datasets; and addresses semantic …

Market Value Analysis Of Takashi Murakami's Artwork Under Howard Becker's Theory, Liu Yi-Ding

MA Theses

This paper is an analysis about the artist Takashi Murakami. As a representative of the corporate artist, he is favored by the Art business world while being criticized by many people. This paper adopts American sociologist Howard Becker's art world theory as a research tool to observe that the construction of Murakami and his art market is not the growth of genius, but the result of collective cooperation. Based on two decades of data on the art trade, Murakami has made his unique brand of ultra-flat theory and otaku work. These labels, along with internalization and external marketing, eventually gave …

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in …

Machine Learning The Harness Track: A Temporal Investigation Of Race History On Prediction, Robert P. Schumaker

Journal of International Technology and Information Management

Machine learning techniques have shown their usefulness in accurately predicting greyhound races. Many of the studies within this domain focus on two things; win-only wagers and using a very particular combination of race history. Our study investigates altering these properties and studying the results. In particular we found a race history combination that optimizes our S&C Racing system’s predictions on seven different wager types. From this, S&C Racing posted an impressive 50.44% accuracy in selecting winning wagers with a payout of $609.34 and a betting return of $10.06 per dollar wagered.

Table Of Contents Jitim Vol 27 Issue 3, 2018

Journal of International Technology and Information Management

Table of Contents

Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote

Journal of International Technology and Information Management

This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.

Analysis Of Stock Price Movement Following Financial News Article Release, Robert P. Schumaker, Nick Maida

Communications of the IIMA

What effect does a financial news article have on stock price? To answer this question we investigate stock price movements within the minutes following financial news releases, broken down by media outlet, time of release and article sentiment. Our data shown a Sharpe ratio (a measure for calculating risk-adjusted return) of 1.18 versus a random dataset of ‑0.06, indicating significant price movement immediately following article release. Second, we found that articles released through WSJ, Reuters – UK Focus, NYT and FT all experienced significant positive returns, whereas articles in Barrons, MarketWatch, Forbes and Bloomberg experienced significant negative returns. Third, we …

Optimizing Strategic Sourcing In The Healthcare Supply Chain With Consideration Of Physician Preference And Vendor Scorecards, Parimal Kulkarni

Dissertations

This research focuses on the design of a procurement model for expensive medical supplies in a healthcare supply chain. A deterministic optimization model generates recommendations for optimal purchases of products in a given planning period. The model combines common concepts of supply chain procurement such as leveraging tiered pricing, ensuring supply base diversity with phenomena unique to healthcare supply chain such as consideration of physician preference for products. The deterministic optimization model minimizes total spend over a chosen planning period with consideration of four key decision parameters:

• Physician preference requirements (which are imposed as rules on product substitutability),
• Upper limits …

Statistical Analysis, Data Visualization, And Business Intelligence Tools For Electronic Resources In Academic Libraries, Cheng Cheng, Tracy J. Gilmore, Colleen Lougen, Connie Stovall

Charleston Library Conference

Analytics, business intelligence, and data visualization have an increasingly important space in the changing assessment landscape of academic libraries. Today, most academic libraries are spending a significant amount of their total expenditure budget on electronic resources. While they are high-value assets for modern libraries, the expensive annual subscription cost and continuing price increases of e-resources also make them a substantial budgeting burden. It is therefore essential to have a clear statistical view of the trends and patterns in price changes for e-resources and vendors. This paper focuses on three major topics vital for developing such a view: first, the e-resources …

Addressing Infrastructure Gap Via Public-Private Partnership In Nigeria, Chiedu Ndubisi

Bullion

This paper is arranged in nine Sections. It commenced by examining the issue of the nature of infrastructure and the implication for financing. It also looked at the catalytic role of infrastructure on economic growth and development, including the debilitating implication of its negligence by policy makers. next, the paper attempted at establishing the nexus between infrastructure and economic growth and development.

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …

Information Seeking Behavior Of Research Scholars At Muet Library & Online Information Center, Jamshoro: A Study, Liaquat Ali Rahoo Mr, Muhammad Ali Khan Nagar, Maryam Kalhoro, Qurat-Ul-Ain Abro, Shadab Kalhoro

Library Philosophy and Practice (e-journal)

The aim of this paper was to study the behavior of the information seeking by the researcher scholars of the at Mehran University of Engineering & Technology, Jamshoro, Sindh Pakistan. The overall purpose of the research study was to find out the awareness and information requirements by the researcher for the research purposes which were provided by the Higher education commission digital library. The data was collected from 230 researchers with the help of questionnaire through the Google online form. Data was analyzed in SPSS software. Research findings were majority of researchers were use electronics resources, text books and reference …

Consumer Welfare And Price Discrimination: A Fine Line, Marie Wallmark, Eyal Greenberg, Dan Engels

SMU Data Science Review

Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willing to pay, but with the availability of big data and the deployment of sophisticated algorithms, with a great degree of precision businesses can ascertain the maximum willingness price. Some forms of price discrimination are prohibited under the Robinson-Patman Act of Antitrust (1890), provided demographic characteristics such as race and gender are the determining factors. The problem with this interpretation is that sellers are not transparent about what factors are taken into consideration when determining price. Current laws are either limited in their interpretation or …

How Has The Food Industry Manipulated The Way Consumers Perceive Food And Health?, Angelina Garavente

Honors College Theses

Food is the most advertised commodity in the United States and food corporations spend on average over $36 billion a year on marketing and advertising (Albritton 172). Seventy percent of total advertising goes to market convenience foods, candy, snacks, soft drinks, desserts and alcohol (Albritton 172). As a result of the wide range of marketing on an even wider range of products, consumers have been taught to feel they have a considerable amount of choice. Ironically despite the array of brand-name commodities that give off this impression, only a few giant corporations control much of what is being offered.

Corporate Governance Roles Of Information Quality And Corporate Takeovers, Jing Li, Lin Nan, Ran Zhao

Accounting Faculty Articles and Research

We examine the corporate governance roles of information quality and the takeover market with asymmetric information regarding the value of the target firm. Increasing information quality improves the takeover efficiency however, a highly efficient takeover market also discourages the manager from exerting effort. We find that perfect information quality is not optimal for either current shareholders’ expected payoff maximization or expected firm value maximization. Furthermore, current shareholders prefer a lower level of information quality than the level that maximizes expected firm value, because of a misalignment between current shareholders’ value and total firm value. We also analyze the impact of …