In modern times, smart cities are using advanced technology to control and coordinate business, physical, social and commercial systems to deliver quality services to their residents while ensuring the efficient use of available resources. Many large corporations, as well as government agencies,...

Purpose - This study aims to understand if an online dating app is considered an acceptable channel to conduct advertising activities and understand the differences between Generations X, Y and Z for such acceptance. Design/methodology/approach - A total of 411 Tinder users' reactions were...

We generate measures for search intensity of employers and job seekers and - as a novel feature - for placement intensity of employment agencies. For this purpose, we tap big data on online activity from the job exchange of the German Federal Employment Agency and its internal...

The problem of student dropout has steadily increased in many Schools in India. The the main purpose of this research is to develop a model for predicting dropout occurrences with the students and determine the factors behind these cases. Students’ academic the exhibition is unsafe for...

The evolution of Internet and Communication Technologies (ICTs) has changed the landscape of traditional web. The present scenario of web forms a large network of tools, techniques and people across globe, which turns the existing facet of web in a socially active web that is, social web. The...

With the evolution of social web, various networking services have contributed towards the establishment of a powerful platform that allows interaction and communication among people across the globe through shared information and messages. Unlike the traditional internet (which only supported...

In 2014, the State Council of the Chinese Communist Party announced the institution of a social credit system by 2020, a follow-up to a similar statement on the creation of a social credit system issued by the State Council in 2007. Social credit ratings of the type being developed by the State...

By employing Text Mining methods such as Structural Topic Modeling to examine all 2,135 speeches by ECB Executive Board members between February 1997 and October 2019, this paper identifies and analyses a significant semantic change that occurred in ECB communication in the transition from Great...

This paper examines the impact of large-scale alternative data on predicting consumer delinquency. Using a proprietary double-blinded test from a traditional lender, we find that the big data credit score predicts an individual’s likelihood of defaulting on a loan with 18.4% greater accuracy...