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Results: 26
Regulations and Standards Aware Framework for Recording of mHealth App Vulnerabilities
The authors describe a standards-based security framework for the purposes of recording security and privacy vulnerabilities discovered in mHealth apps. The proposed framework is compliant with the international standard for...
Published by: IGI Global
Four Pillars of the Green University Soft Infrastructure
Universities are isomorphic not because of the effectiveness of their processes but because of the legitimacy assigned by institutional logic. However, sustainable development discourses invoke a novel mission for producing...
Published by: IGI Global
User's Segmentation on Continued Knowledge Management System Use in the Public Sector
Chi-Cheng Huang
Jan 01, 2020
Knowledge management systems (KMS) can help an organization support knowledge management activities and thereby increase organizational performance. This study extends the expectation-confirmation model for predicting mandatory...
Published by: IGI Global
Degree Attainment in Online Learning Programs
The purpose of this study is to compare degree attainment rates in online and not wholly online degree programs, using longitudinal data from a national sample. Longitudinal data, collected from the National Center for Education...
Published by: IGI Global
Identification and Detection of Cyberbullying on Facebook Using Machine Learning Algorithms
The use of social media platforms such as Facebook, Twitter, Instagram, WhatsApp, etc. have enabled a lot of people to communicate effectively and frequently with each other and this has enabled cyberbullying to occur more...
Published by: IGI Global
The Effect of Pictures on Online Business English Vocabulary Retention of EFL Learners Amid the COVID-19 Pandemic
Students can find numerous online resources and platforms for English vocabulary learning during COVID-19. However, most online vocabulary recollection research was concerned with general vocabulary retention, particularly the...
Published by: IGI Global
Cause of Attrition in an Information Technology-Enabled Services Company
The purpose of this study is to identify the human resource and the contextual factors that catalyze employee attrition in an ITES organization. A triangulation approach used to understand the reasons for employee attrition...
Published by: IGI Global
Deposit Withdrawal Behavior of Islamic Banking Customers in Brunei Darussalam
Muhamad Abduh
Apr 01, 2020
This article is aimed at investigating the deposit withdrawal behavior of Islamic banking customers in Brunei Darussalam. More specifically, it explores the influence of individual characteristics upon the action of deposit...
Published by: IGI Global
Clinical and laboratory factors associated with neonatal sepsis mortality at a major Vietnamese children's hospital.
Nguyen Duc Toan, Thomas C Darton, Nguyen Hoang Thien Huong, Le Thanh Hoang Nhat, To Nguyen Thi Nguyen, Ha Thanh Tuyen, Le Quoc Thinh, Nguyen Kien Mau, Pham Thi Thanh Tam, Cam Ngoc Phuong, Le Nguyen Thanh Nhan, Ngo Ngoc Quang Minh, Ngo Minh Xuan, Tang Chi Thuong, Nguyen Thanh Hung, Christine Boinett, Stephen Reece, Abhilasha Karkey, Jeremy N Day, Stephen Baker
Apr 17, 2023
Sepsis is a major cause of neonatal mortality and children born in low- and middle-income countries (LMICs) are at greater risk of severe neonatal infections than those in higher-income countries. Despite this disparity, there...
Published by: PLOS global public health
Teacher Experiences in Converting Classes to Distance Learning in the COVID-19 Pandemic
The authors conducted a worldwide survey to explore the experiences of higher education faculty who converted classes to distance learning during the COVID-19 pandemic. Most respondents experienced much higher workloads and...
Published by: IGI Global
Behavior Analysis of Customer Churn for a Customer Relationship System
This article describes how the bank industry in Taiwan must function in today's tough and fiercely competitive domestic credit card market and subdued global market. Banks are increasingly emphasizing the importance of retaining...
Published by: IGI Global
Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment
Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method...
Published by: IGI Global
Spammer Group Detection Using Machine Learning Technology for Observation of New Spammer Behavioral Features
Recently, the rapid growth in the number of customer reviews on e-commence platforms and in the amount of user-generated content has begun to have a profound impact on customer purchasing decisions. To counter the negative...
Published by: IGI Global
The Impact of Age and Income in Using Mobile Banking Apps
The banking business relates with their customers during the weekly business days, but only a few pay close attention to the importance of demography variables especially in the area of technology use. This study intends to...
Published by: IGI Global
Human Fall Detection Using Efficient Kernel and Eccentric Approach
Unintentional human falls are a very crucial problem in elderly people. If the fall goes unnoticed or undetected, it can lead to severe injuries and can even lead to death. Detecting falls as early as possible is very important...
Published by: IGI Global
Autonomous Motivation and Self-Disclosure Intention
Studies that specifically discuss the formation of autonomous motivations of users of social networking services (SNSs) and how such motivation influences SNS user intention to disclose personal location-related information...
Published by: IGI Global
The Moderating Role of Gender on Pathos and Logos in Online Shopping Behavior
Many research studies and observations have made it evident that there exists a difference between the shopping behavior of the male and female. The objective of this research paper is to explore the moderation effect of gender...
Published by: IGI Global
Using Data Analytics to Predict Hospital Mortality in Sepsis Patients
Predictive analytics can be used to anticipate the risks associated with some patients, and prediction models can be employed to alert physicians and allow timely proactive interventions. Recently, health care providers have...
Published by: IGI Global
Retaining Clients in B2B E-Marketplaces
Business-to-business (B2B) e-marketplaces serve local small and medium-sized enterprises (SMEs) by assisting them in connecting with potential overseas buyers. They leverage multiple channels to connect with and bring potential...
Published by: IGI Global
Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning
The internet makes it easier for people to connect to each other and has become a platform to express ideas and share information with the world. The growth of the internet has indirectly led to the development of social...
Published by: IGI Global
The Effects of Navigation Cues and Involvement of Highly Innovative Consumers on Attitudes Toward Mobile Application Stores
In the e-commerce area, navigation cues play an important role that guides consumers while they are browsing products in online stores. Best-seller lists and product categories are typically used as navigation cues. With the...
Published by: IGI Global
Cardiovascular Risk Detection Through Big Data Analysis
Cardiovascular diseases are the main cause of mortality in the world. As more people suffer from diabetes and hypertension, the risk of cardiovascular disease (CVD) increases. A sedentary lifestyle, an unhealthy diet, and...
Published by: IGI Global
Analysis of Heart Disease Using Parallel and Sequential Ensemble Methods With Feature Selection Techniques
This paper has organized a heart disease-related dataset from UCI repository. The organized dataset describes variables correlations with class-level target variables. This experiment has analyzed the variables by different...
Published by: IGI Global
Is information provided within chronic subdural haematoma education resources adequate? A scoping review.
Conor S Gillespie, Samuel Khanna, Mark E Vivian, Samuel McKoy, Alvaro Yanez Touzet, Ellie Edlmann, Daniel J Stubbs, Benjamin M Davies
Apr 17, 2023
Background
Chronic subdural haematoma (CSDH) is becoming increasingly prevalent, due to an aging population with increasing risk factors. Due to its variable disease course and high morbidity, patient centred care and...
Published by: PLOS ONE
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