Universität zu Köln

Altuntas, Erkin, Gloor, Peter A. and Budner, Pascal (2022). Measuring Ethical Values with AI for Better Teamwork. Future Internet, 14 (5). BASEL: MDPI. ISSN 1999-5903

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Abstract

Do employees with high ethical and moral values perform better? Comparing personality characteristics, moral values, and risk-taking behavior with individual and team performance has long been researched. Until now, these determinants of individual personality have been measured through surveys. However, individuals are notoriously bad at self-assessment. Combining machine learning (ML) with social network analysis (SNA) and natural language processing (NLP), this research draws on email conversations to predict the personal values of individuals. These values are then compared with the individual and team performance of employees. This prediction builds on a two-layered ML model. Building on features of social network structure, network dynamics, and network content derived from email conversations, we predict personality characteristics, moral values, and the risk-taking behavior of employees. In turn, we use these values to predict individual and team performance. Our results indicate that more conscientious and less extroverted team members increase the performance of their teams. Willingness to take social risks decreases the performance of innovation teams in a healthcare environment. Similarly, a focus on values such as power and self-enhancement increases the team performance of a global services provider. In sum, the contributions of this paper are twofold: it first introduces a novel approach to measuring personal values based on honest signals in emails. Second, these values are then used to build better teams by identifying ideal personality characteristics for a chosen task.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Altuntas, Erkin UNSPECIFIED UNSPECIFIED UNSPECIFIED Gloor, Peter A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Budner, Pascal UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-666491
DOI:	10.3390/fi14050133
Journal or Publication Title:	Future Internet
Volume:	14
Number:	5
Date:	2022
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	1999-5903
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language 5 PERSONALITY DIMENSIONS; JOB-PERFORMANCE; AGREEABLENESS; BEHAVIOR; MODEL Multiple languages Computer Science, Information Systems Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66649