Handbook of Research on Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies

2022 ◽  
Keyword(s):  
Big Data ◽  
Green Growth

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

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data

Little sensors, big data

2015 ◽  
Author(s):  
Kirsten Weir
Keyword(s):  
Big Data
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