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Full-Text Articles in Data Storage Systems
Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He
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 …
The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti
The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti
Journal of International Technology and Information Management
ABSTRACT
The objective of the present study was to empirically explore the impact of the implementation of Green IT/S measures on organizational resources in the US and European firms. The study examined the influence of reconfiguration of resources within a firm while adopting various Green IT/S practices and technologies. Green IT/S implementation requires resource commitment from organizations (Bose and Luo, 2011). What are these resources and how do they affect the extent of Green IT/S measures adopted by businesses? Resource Based View (RBV) of the firm was used as the theoretical framework of the study. The relationship between the adoption …
Table Of Contents Jitim Vol 27 Issue 3, 2018
Table Of Contents Jitim Vol 27 Issue 3, 2018
Journal of International Technology and Information Management
Table of Contents
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
Journal of Digital Forensics, Security and Law
Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research. Advances in big data, technology, and increased capabilities of smartphones has contributed to the demand for modern techniques of examination. Smartphones are ubiquitous, transformative, and have become a goldmine for forensics research. Given the right tools and research methods investigating agencies can help crack almost any illegal activity using smartphones. This paper focuses on conducting forensic analysis in exposing a terrorist or criminal network and introduces a new Big Forensic Data Framework model where different technologies of Hadoop and EnCase software are …
Table Of Contents Jitim Vol 27 Issue 1, 2018
Table Of Contents Jitim Vol 27 Issue 1, 2018
Journal of International Technology and Information Management
Table of Contents JITIM volume 27, issue 1 - 2018
Table Of Contents Jitim Vol 27 Issue 2, 2018
Table Of Contents Jitim Vol 27 Issue 2, 2018
Journal of International Technology and Information Management
ToC JITIM vol 27 - 2, 2018