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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 …

Improving Shewhart Control Chart Performance In The Presence Of Measurement Error Using Multiple Measurements And Two-Stage Sampling, Kenneth W. Linna

Journal of International & Interdisciplinary Business Research (2014-2019)

The usual Shewhart control chart efficiently detects large shifts in the mean of a quality characteristic and has been extensively studied in the literature. Most proposed alternatives to the Shewhart chart aim to improve either the signal performance for smaller mean shifts or reduce the sampling effort required to detect a larger shift. Measurement error has been shown in the literature to result in reduced power to detect process shifts. The combination of multiple measurements and two-stage sampling is considered here as a strategy for both regaining power lost due to measurement error and specifically tuning the charts for shifts …

A Comparison Of Causal Inference Methods And Their Application In Big Data Analytics, Xuan Wang

LSU Doctoral Dissertations

With the rise of Big Data analytics, the new field of causal inference (Pearl, 2009) has received more attention in business research fields such as Accounting (Lawrence, Minutti-Meza, & Zhang, 2011) and Marketing (Manganaris, Bhasin, Reid, & Hermiz Keith, 2010). Traditional statistics focuses on correlation which may lead to misleading conclusions because the estimates can be severely biased even when data sets are large. The objective of causal inference is to obtain estimates from observational data that are unbiased and can thus be interpreted as causal. This study provides a systematic comparison of the performance of four causal inference methods …

Delegation Application, Erik Matthew Phillips

Computer Science and Software Engineering

Delegation is a cross-platform application to provide smart task distribution to users. In a team environment, the assignment of tasks can be tedious and difficult for management or for users needing to discover a starting place for where to begin with accomplishing tasks. Within a specific team, members possess individual skills within different areas of the team’s responsibilities and specialties, and certain members will be better suited to tackle specific tasks. This project provides a solution, consisting of a smart cross-platform application that allows for teams and individuals to quickly coordinate and delegate tasks assigned to them.

Examining The Effect Of Cultural Intelligence On The Internationalization Of Swiss Small And Medium Enterprises, Hadia Fakhreldin

Business Administration

The study examines the relationship between cultural intelligence (CI) and the internationalization of Swiss Small and Medium Enterprises (SMEs). It also evaluates the role of internationalization motivators within that relationship. A self-administered survey was sent (by email) to the managers of 640 Swiss SMEs, identified from the Swiss SME database (Switzerland Global Enterprises-ge.com). The data analysis confirms that the internationalization process and the intention to internationalize depend to a large extent on the cultural intelligence of these managers. The analysis also identified access to information on foreign markets as the main motivator that affects this relationship. The study proposes solutions …

Innovation, Culture And The Path To Postmodernism: Finland Vs. Denmark, Jayme Harlander

All College Thesis Program, 2016-2019

The purpose of this study is to explore the concept of postmodernism as it applies to the innovative process as carried out in the 21st century. In doing so, this study compares and contrasts two countries within a region of the world with differing innovative capacities and then link these differences to their different engagements with the forces that characterize what scholars have terms “postmodernism”. From this study we find that countries that are more closely engaged with these postmodernist forces thrive as 21st century innovators; those that are less engaged –i.e., have trouble transitioning from the old “modernist” ethos—falter …

2018 May Parkview Signature Care Thought Leader Forum, Jeanne Wickens, Sue Ehinger Phd, Jolynn Suko

Presentations and Events

No abstract provided.

The Influence Of Emotional Intelligence And Personality Traits On Effective Leadership, Joy N. Cooper

Human Resource Development Theses and Dissertations

Ineffective leadership contributes to the majority of organizational problems and business failures. The negative effects of poor leadership in the health services arena is a prominent issue in today’s health services workforce, and is exacerbated by the challenges posed by the Affordable Healthcare Act of 2012. This study investigates the effects of emotional intelligence (EI) and personality traits (the Big Five), two variables commonly linked to effective leadership, within the context of healthcare.

This study examined the influence of EI and the Big Five personality traits on leadership effectiveness within a healthcare institution. The study assumed EI and the Big …

Mapping Energy Access In Rural Tanzania: 2017 Summer Internship With The World Resources Institute, Naramena Mccray

Sustainability and Social Justice

This report details my 2017 summer internship experience; both the report and the internship being requirements of the GIS for Development and Environment Graduate Degree at Clark University. My internship was hosted by the World Resources Institute, an international non-profit organization in Washington D.C. As implied by my position title, “Energy Access-GIS Intern”, I spent the duration of my internship (14 weeks) applying my geospatial expertise to address the topic of energy access which is an issue effecting rural areas of many developing countries. I was given the responsibility of creating an interactive map application of Tanzania accessible by energy …

Blockchain: Is It The Future Of Business?, Stuart Welsch

Information Systems Undergraduate Honors Theses

Blockchain is one of these new and disruptive technologies being developed; it is predicted to change the landscape of business in an extremely similar fashion as the Internet did. In lay terms, blockchain is a new technology designed to secure privacy (Collins, 2016), cut out unnecessary middleman costs (Eha, 2017), dramatically lower the cost of transactions (Iansiti & Lakhani, 2009), lower transaction time (Underwood, 2016), and assist in making assets become more liquid and appealing (like cash) because they are more easily transferable (Paech, 2016). Blockchain functions like a ledger; it is able to keep track of an asset’s ownership …

Talent Magnets: Three Dimensions Of A Great Place To Work, Chandrasekhar Sripada

Asian Management Insights

Three dimensions of a great place to work.