Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis

D Azucar, D Marengo, M Settanni - Personality and individual differences, 2018 - Elsevier
The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society

NJ Ogbuke, YY Yusuf, K Dharma… - Production Planning & …, 2022 - Taylor & Francis
This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …

The age of surveillance capitalism

S Zuboff - Social theory re-wired, 2023 - taylorfrancis.com
Behavioral surplus defines Google's earnings success. In 2016, 89 percent of the revenues
of its parent company, Alphabet, derived from Google's targeted advertising programs. The …

Artificial intelligence and big data in entrepreneurship: a new era has begun

M Obschonka, DB Audretsch - Small Business Economics, 2020 - Springer
While the disruptive potential of artificial intelligence (AI) and big data has been receiving
growing attention and concern in a variety of research and application fields over the last …

Using machine learning to advance personality assessment and theory

W Bleidorn, CJ Hopwood - Personality and Social …, 2019 - journals.sagepub.com
Machine learning has led to important advances in society. One of the most exciting
applications of machine learning in psychological science has been the development of …

“I feel your pain”: A critical review of organizational research on empathy

MA Clark, MM Robertson… - Journal of Organizational …, 2019 - Wiley Online Library
Empathy, a multidimensional construct comprised of cognitive, affective, and behavioral
dimensions, has been advanced as a critical predictor of prosocial behavior and …

Applicability of machine learning in spam and phishing email filtering: review and approaches

T Gangavarapu, CD Jaidhar, B Chanduka - Artificial Intelligence Review, 2020 - Springer
With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

Public attitudes towards algorithmic personalization and use of personal data online: Evidence from Germany, Great Britain, and the United States

A Kozyreva, P Lorenz-Spreen, R Hertwig… - Humanities and Social …, 2021 - nature.com
People rely on data-driven AI technologies nearly every time they go online, whether they
are shop**, scrolling through news feeds, or looking for entertainment. Yet despite their …

[LIBRO][B] Machine learning: a first course for engineers and scientists

A Lindholm, N Wahlström, F Lindsten, TB Schön - 2022 - books.google.com
This book introduces machine learning for readers with some background in basic linear
algebra, statistics, probability, and programming. In a coherent statistical framework it covers …

Methodological practices in international business research: An after-action review of challenges and solutions

H Aguinis, RS Ramani, WF Cascio - Journal of International Business …, 2020 - Springer
We combine after-action review and needs-assessment frameworks to describe the four
most pervasive contemporary methodological challenges faced by international business …