Metric Analysis of Big Data of Payment System Based on Kolmogorov–Shannon Coding Methods

2021 ◽  
pp. 743-756
Author(s):  
Ivan G. Kamenev ◽  
Daria A. Andrianova
Keyword(s):  
Big Data ◽  
Payment System ◽  
Metric Analysis

scholarly journals Development of the predicted and standardized carbapenem usage metric: Analysis of the Japanese Diagnosis Procedure Combination payment system data

2020 ◽  
Vol 26 (6) ◽  
pp. 633-635
Author(s):  
Masayuki Maeda ◽  
Yuichi Muraki ◽  
Yuka Anno ◽  
Akihiro Sawa ◽  
Yoshiki Kusama ◽  
...  
Keyword(s):  
Payment System ◽  
Diagnosis Procedure Combination ◽  
Metric Analysis ◽  
System Data

Data Breach on Consumer Behavior

2021 ◽  
pp. 1861-1879
Author(s):  
Ruimin Chen
Keyword(s):  
Big Data ◽  
Consumer Behavior ◽  
Health Services ◽  
Online Shopping ◽  
Payment System ◽  
Security Risks ◽  
Data Breach ◽  
Daily Lives ◽  
Ethical Concerns

Big data is now affecting the daily lives in many different areas, such as payment system, online shopping, health services and so forth. There has no doubt that big data is able to make the lives of people more convenient to a certain extent, but it can also threaten privacy security in the meantime. In order to explore the hazardous effects of data breach on consumer behavior and understand how netizens act and feel when experiencing it, a questionnaire was completed by 110 participants. This article will demonstrate the primary issues on potential security risks on big data, especially the effects of data breach on consumer behavior by discussing the causes, solutions and ethical concerns.

Data Breach on Consumer Behavior

2019 ◽  
Vol 9 (4) ◽  
pp. 1-17
Author(s):  
Ruimin Chen
Keyword(s):  
Big Data ◽  
Consumer Behavior ◽  
Health Services ◽  
Online Shopping ◽  
Payment System ◽  
Security Risks ◽  
Data Breach ◽  
Daily Lives ◽  
Ethical Concerns

Big data is now affecting the daily lives in many different areas, such as payment system, online shopping, health services and so forth. There has no doubt that big data is able to make the lives of people more convenient to a certain extent, but it can also threaten privacy security in the meantime. In order to explore the hazardous effects of data breach on consumer behavior and understand how netizens act and feel when experiencing it, a questionnaire was completed by 110 participants. This article will demonstrate the primary issues on potential security risks on big data, especially the effects of data breach on consumer behavior by discussing the causes, solutions and ethical concerns.

Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies

2022 ◽  
pp. 38-57
Author(s):  
Fairul Rizal Rashid ◽  
Muhammad Zulqarnain Haji Julaihi
Keyword(s):  
Big Data ◽  
Payment System ◽  
Driving Factors ◽  
Qr Code ◽  
Retail Sector ◽  
Green Growth ◽  
Brunei Darussalam ◽  
Financial Technology

The rise of digitalization has inevitably impacted the growth of financial technology (FinTech) in Brunei Darussalam. The presence of e-wallet QR code-based payment system, as part of the Fintech development, deems to be the latest payment mode that hits the retail sector of the Sultanate in recent years. Thus, the chapter is aimed to understand the role and impact of e-wallet application in the retail sector. Despite the positive trending indicators for e-wallet growth amongst the population, the utilization of e-wallet in the retail sector is still quite low. Both driving factors and barriers towards e-wallet utilization in the retail sector are discussed by taking account of the views of both customers and retailers. Recommendation steps are also suggested especially on the roles played by both business and government in empowering this new payment system and to drive the population toward a cashless society and attain a smart nation aspiration.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

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