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Results: 100
The Effect of a Singing Protocol on Identified Vocal Inefficiencies of a Post-Menopausal Singer
Kathy Kessler Price
Oct 29, 2013
The purpose of this case study was to assess over the course of 12 weeks the effect of a researcher-designed singing protocol on the documented vocal inefficiencies of a 63 year old post-menopausal singer, as measured by pre-...
Published by: Faculty of Education
Stock Price Prediction Based on Data Mining Combination Model
Predicting stock indexes is a common concern in the financial world. This work uses neural network, support vector machine (SVM), mixed data sampling (MIDAS), and other methods in data mining technology to predict the daily...
Published by: IGI Global
Intelligent Models for Stock Price Prediction
Prediction of the stock price is a crucial task as predicting it may lead to profits. Stock price prediction is a challenge owing to non-stationary and chaotic data. Thus, the projection becomes challenging among the investors...
Published by: IGI Global
Impact of Premium and Price Cuts on Consumer Purchase Intention
This study aims to compare the price cut and premium promotion with study moderators are discount depth size, product type, premium characteristics, and country effect (Indonesia and Taiwan). The experiment was designed as...
Published by: IGI Global
Coordination and Decision of Supply Chain Under
In order to investigate supply chain coordination and decision under customer balking and stochastic demand, the article considers a two-echelon supply chain consisting of one manufacturer with risk-neutral and one retailer with...
Published by: IGI Global
An LSTM-Based Approach to Predict Stock Price Movement for IT Sector Companies
A stock market is an aggregation of buyers and sellers where issuance, buying, and selling of stocks happen. Predicting stock price is a significant concern due to volatility. Historical stock price and historical price data...
Published by: IGI Global
Provincial Linkage Characteristics of Hog Price in China Based on Linkage Social Network Analysis Method
In order to obtain the visual data of linkage structure and network characteristics of hog price among provinces in China, an improved analysis method of social network correlation was proposed in this article. The lift of...
Published by: IGI Global
Prediction of Soybean Price Trend via a Synthesis Method With Multistage Model
Soybean is an important crop, so it is very important to forecast soybean price trend, which can stabilize the market. This paper presents a Synthesis Method with Multistage Model (SMwMM) in order to identify and forecast...
Published by: IGI Global
Soybean Price Pattern Discovery Via Toeplitz Inverse Covariance-Based Clustering
Hua Deng, Yǔ Sūn
Oct 01, 2019
The high volatility of world soybean prices has caused uncertainty and vulnerability particularly in the developing countries. The clustering of time series is a serviceable tool for discovering soybean price patterns in...
Published by: IGI Global
The Spillover Effect of Agricultural Product Market Price Fluctuation Based on Fourier Analysis
The stability of the original spillover effect model of agricultural product market price volatility is poor, resulting in the low degree of fitting between the results and the actual situation. In order to further clarify the...
Published by: IGI Global
Forecasting Price of Amazon Spot Instances Using Machine Learning
An auction-based cloud model is followed in the spot pricing mechanism, where the spot instances charge changes with time. The user is bound to pay for the time that is initially initiated. If the user terminates before the...
Published by: IGI Global
Price Strategy, Market Orientation, and Business Performance in the Hotel Industry
This study seeks to study the relationship between market orientation and business performance and to evaluate the mediating effect of adopting a low-price strategy in this relationship in the hotel industry. A sample from the...
Published by: IGI Global
Forecasting Stock Market Volume Price Using Sentimental and Technical Analysis
The stock market volume and price are active areas of research. Behind every dollar of investment, the customer will be hoping for profit in one or the other way. There is a positive correlation between investor sentiment and...
Published by: IGI Global
Efficient Prediction of Stock Price Using Artificial Neural Network Optimized Using Biogeography-Based Optimization Algorithm
Stock market price prediction has always draws more attention from researchers and analysts. Prediction of stock price is extremely tough task due to the nature of stock data. Therefore, it is needed to develop an efficient...
Published by: IGI Global
Impact of Price-Sensitive Demand and Premium Payment Scheme on Bullwhip Effect
Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price...
Published by: IGI Global
Evaluating the Agricultural Carbon Shadow Price in Countries along the Belt and Road Initiative
Agriculture is considered a sector with an essential contribution to carbon emissions in the Belt and Road Initiative (BRI) countries. This paper innovatively uses the by-production process to analyze the agricultural carbon...
Published by: IGI Global
Agricultural Supply Chain Risk Management Under Price and Demand Uncertainty
Pritee Ray
Apr 01, 2021
Agricultural supply chain (ASC) plays a vital role for sustainability as it is the main source of food supply. ASC encounters more sources of risk due to seasonality, perishability, and weather conditions, which makes the global...
Published by: IGI Global
Analysis and Prediction of Healthcare Sector Stock Price Using Machine Learning Techniques
Healthcare sector stocks are a very good opportunity for investors to obtain gains faster most of the time in a year and mostly during this COVID pandemic. Purchasing a healthcare stock of a certain company indicates that you...
Published by: IGI Global
An Improved BPNN Algorithm Based on Deep Learning Technology to Analyze the Market Risks of A+H Shares
The backpropagation neural network (BPNN) algorithm of artificial intelligence (AI) is utilized to predict A+H shares price for helping investors reduce the risk of stock investment. First, the genetic algorithm (GA) is used to...
Published by: IGI Global
A Piecewise Objective Probabilistic Optimization Approach as Decision Making for Supplier Selection and Inventory Management With Price Discount
A mathematical model in the form of a piecewise objective probabilistic optimization approach was proposed in this study as the new decision-making tool to solve supplier selection and inventory management problems. The focus...
Published by: IGI Global
The Impact of Dual-Fairness Concerns Under Different Power
By analyzing the impact of different fairness concerns on a green supply chain, this study determines the optimal decisions under different power structures and conducts a comparative analysis of them. The findings of this study...
Published by: IGI Global
Revisiting the Effect of Urbanization on Residential Electricity Consumption
Under the background of electrification, it is significant to explore the changes in residential electricity consumption for energy conservation and emission reduction. Based on the staggered difference-in-difference (DID)...
Published by: IGI Global
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction
This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the...
Published by: IGI Global
Cat Swarm Optimization Algorithm Tuned Multilayer Perceptron for Stock Price Prediction
Due to the non-linear and dynamic nature of stock data, prediction is one of the hard tasks in the financial market. Now, soft and bio-inspired computing algorithms have been used to forecast the stock price. This article...
Published by: IGI Global

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