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Analyzing the relationship between productivity and human communication in an organizational setting
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 7, p e0250301 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- Though it is often taken as a truism that communication contributes to organizational productivity, there are surprisingly few empirical studies documenting a relationship between observable interaction and productivity. This is because comprehensive, direct observation of communication in organizational settings is notoriously difficult. In this paper, we report a method for extracting network and speech characteristics data from audio recordings of participants talking with each other in real time. We use this method to analyze communication and productivity data from seventy-nine employees working within a software engineering organization who had their speech recorded during working hours for a period of approximately 3 years. From the speech data, we infer when any two individuals are talking to each other and use this information to construct a communication graph for the organization for each week. We use the spectral and temporal characteristics of the produced speech and the structure of the resultant communication graphs to predict the productivity of the group, as measured by the number of lines of code produced. The results indicate that the most important speech and network features for predicting productivity include those that measure the number of unique people interacting within the organization, the frequency of interactions, and the topology of the communication network.
- Subjects :
- Computer and Information Sciences
Source lines of code
Computer science
Science
Audio Signal Processing
Emotions
Social Sciences
02 engineering and technology
Efficiency, Organizational
Polynomials
Computer Software
Nonverbal communication
Empirical research
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Humans
Speech
Psychology
Productivity
Human communication
Verbal Communication
Structure (mathematical logic)
Behavior
Multidisciplinary
Verbal Behavior
Communication
05 social sciences
Biology and Life Sciences
Software Engineering
Linguistics
Data science
Algebra
Speech Signal Processing
Signal Processing
Physical Sciences
Telecommunications
Medicine
Engineering and Technology
020201 artificial intelligence & image processing
Centrality
Construct (philosophy)
Mathematics
050203 business & management
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....4969e1a3b244661d6e2f4138dbd412ab