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projects:year10:10a.002.jyu_wp9

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10a.002.JYU_WP9 - IoB@work

Project - Summary

  • Internet-of-things (IoT) is an established concept with many solution proposals and application domains. IoT deals with devices that are interconnected and exchange data and information. When the data becomes processed and stored in the cloud, customer behaviors, preferences and interests can be better understood is referred to as Internet-of-behavior (IoB). IoB approaches the IoT from the human perspective, seeking to provide understanding how the data should be understood.
  • In the context of the project, the aim of the IoB is to capture, analyze, understand and respond to all types of human behaviors in work context. Work behaviors of people are captured using emerging technological innovations and machine learning algorithms.
  • In an experimental setting, people’s work behaviors are monitored and (dis)incentives are applied to influence them to perform towards a desired set of operational parameters. IoB is allows the transformation from only descriptive (analyzing behavior), to proactive influencing.
  • In an experimental setting, the project aims at detecting which psychological variables to influence to bring about a certain outcome.
  • The application domains of this project include professional work places with highly skilled and educated workforce such as software companies, consultants, architects, designers and doctors.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Pekka Abrahamsson PI pekka.abrahamsson@jyu.fi University of Jyväskylä
Joni Kultanen Researcher joni.m.kultanen@jyu.fi University of Jyväskylä
Teemu Autto Student teemu.a.autto@student.jyu.fi University of Jyväskylä
Joonas Himmanen Student University of Jyväskylä
Joonas Uusnäkki Student University of Jyväskylä
Jukka Lassila Project Mentor Jukka.lassila@multimentor.com Multimentor Ltd
Funded by: Multimentor Ltd

Project - Novelty of Approach

  • IoB is a hot topic in understanding consumer behavior, and has lately received quite a bit of interest in the workplace domain. Capturing desired behavior at work, understanding the mechanisms that drive it and being able to respond accurately are increasingly important capabilities. New methods are required to capture the behavior and the influencing factors.
  • Current IoB capturing solutions are developed for consumer markets and we need to experiment how they can become operationalized in a workplace context without too much intrusion into workers’ privacy. This is why ECCOLA is used in the design and implementation phase and laboratory context used as the experimental data collection platform.

Project - Deliverables

Deliverables
1 PoC on data enhanced decision making for mission critical business problems
2 Method for business problem alignment with organizational objectives
3 Case study on implementing decision intelligence in real-life cases
4 Reports on the development of the PoC (Incl. ML and optimization models), and business problem/org. objectives alignment method
5 Article on the case study

Project - Benefits to IAB

IAB member organizations operate in several industries that all have common needs to optimize different fields of their operations for profitability, quality, and productivity. Decision Intelligence for mission critical business decisions project aims to provide means for aligning the decisions on complex business problems with organizational strategic objectives, and to provide organizations capabilities to make more optimized strategic decisions for improved business capabilities.

Project - Documents

projects/year10/10a.002.jyu_wp9.1620681772.txt.gz · Last modified: 2021/05/10 16:22 by sally.johnson