Fleet service creation in business ecosystems - from data to decisions: Fleet information network and decision-making

Helena Kortelainen, Jyri Hanski, Susanna Kunttu, Sini-Kaisu Kinnunen, Salla Marttonen-Arola

Research output: Book/ReportReport

Abstract

Digitalization and the industrial internet are transforming business as technologies enable the gathering, processing and utilization of increased amounts of data. At the same time, technology companies have shifted their focus from product delivery to life-cycle services which are knowledge-intensive by nature. Companies are interested in developing global fleet-based industrial services, which could be seen as means to increase competitiveness. The targets of these fleet services, the customers' asset fleets, are typically complex and expensive assets, and they are characterized by high profitability, efficiency and safety demands. In order to provide value-adding fleet services, these knowledge-intensive services require data collection from globally distributed fleets. Technical and economic life-cycle data are often fragmented in business ecosystems and the full business potential of data is rarely utilized. Therefore, innovative technological and business model solutions are needed to upgrade the accumulated data into business knowledge that can be used to support decision-making and service delivery. This offers new opportunities not only for typical fleet services such as maintenance but also to support different types of fleet decision-making situations regarding different types of fleets. This publication presents and discusses the findings from the project "Fleet information network and decision-making", which is a part of the DIMECC Service Solutions for Fleet Management (S4Fleet) research program. The project addresses this issue by developing ways to upgrade the accumulated fleet data into valuable business knowledge that can be used in decision-making both on the level of individual companies and the whole ecosystem. The research is conducted in collaboration with companies involved in the research project, and the findings result from multifaceted cooperation with the case companies over a three-year period. The project results in a Data to Business Knowledge (D2BK) model, and documents pathways for industrial ecosystems to implement the model. The main ambition is to increase understanding on fleet data based services and develop ways to create value from fleet data at ecosystem level.
Original languageEnglish
PublisherVTT Technical Research Centre of Finland
Number of pages76
ISBN (Electronic)978-951-38-8580-9
Publication statusPublished - 2017
MoE publication typeNot Eligible

Publication series

SeriesVTT Technology
Number309
ISSN2242-1211

Fingerprint

Business ecosystem
Information networks
Decision making
Business knowledge
Ecosystem
Upgrade
Life cycle
Assets
Data collection
Management research
Service delivery
Competitiveness
Knowledge model
Profitability
Industrial ecosystem
Research program
Knowledge-intensive services
Economics
Industrial services
World Wide Web

Keywords

  • fleet management
  • data management
  • industrial services
  • decision making

Cite this

Kortelainen, H., Hanski, J., Kunttu, S., Kinnunen, S-K., & Marttonen-Arola, S. (2017). Fleet service creation in business ecosystems - from data to decisions: Fleet information network and decision-making. VTT Technical Research Centre of Finland. VTT Technology, No. 309
Kortelainen, Helena ; Hanski, Jyri ; Kunttu, Susanna ; Kinnunen, Sini-Kaisu ; Marttonen-Arola, Salla. / Fleet service creation in business ecosystems - from data to decisions : Fleet information network and decision-making. VTT Technical Research Centre of Finland, 2017. 76 p. (VTT Technology; No. 309).
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abstract = "Digitalization and the industrial internet are transforming business as technologies enable the gathering, processing and utilization of increased amounts of data. At the same time, technology companies have shifted their focus from product delivery to life-cycle services which are knowledge-intensive by nature. Companies are interested in developing global fleet-based industrial services, which could be seen as means to increase competitiveness. The targets of these fleet services, the customers' asset fleets, are typically complex and expensive assets, and they are characterized by high profitability, efficiency and safety demands. In order to provide value-adding fleet services, these knowledge-intensive services require data collection from globally distributed fleets. Technical and economic life-cycle data are often fragmented in business ecosystems and the full business potential of data is rarely utilized. Therefore, innovative technological and business model solutions are needed to upgrade the accumulated data into business knowledge that can be used to support decision-making and service delivery. This offers new opportunities not only for typical fleet services such as maintenance but also to support different types of fleet decision-making situations regarding different types of fleets. This publication presents and discusses the findings from the project {"}Fleet information network and decision-making{"}, which is a part of the DIMECC Service Solutions for Fleet Management (S4Fleet) research program. The project addresses this issue by developing ways to upgrade the accumulated fleet data into valuable business knowledge that can be used in decision-making both on the level of individual companies and the whole ecosystem. The research is conducted in collaboration with companies involved in the research project, and the findings result from multifaceted cooperation with the case companies over a three-year period. The project results in a Data to Business Knowledge (D2BK) model, and documents pathways for industrial ecosystems to implement the model. The main ambition is to increase understanding on fleet data based services and develop ways to create value from fleet data at ecosystem level.",
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Kortelainen, H, Hanski, J, Kunttu, S, Kinnunen, S-K & Marttonen-Arola, S 2017, Fleet service creation in business ecosystems - from data to decisions: Fleet information network and decision-making. VTT Technology, no. 309, VTT Technical Research Centre of Finland.

Fleet service creation in business ecosystems - from data to decisions : Fleet information network and decision-making. / Kortelainen, Helena; Hanski, Jyri; Kunttu, Susanna; Kinnunen, Sini-Kaisu; Marttonen-Arola, Salla.

VTT Technical Research Centre of Finland, 2017. 76 p. (VTT Technology; No. 309).

Research output: Book/ReportReport

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AB - Digitalization and the industrial internet are transforming business as technologies enable the gathering, processing and utilization of increased amounts of data. At the same time, technology companies have shifted their focus from product delivery to life-cycle services which are knowledge-intensive by nature. Companies are interested in developing global fleet-based industrial services, which could be seen as means to increase competitiveness. The targets of these fleet services, the customers' asset fleets, are typically complex and expensive assets, and they are characterized by high profitability, efficiency and safety demands. In order to provide value-adding fleet services, these knowledge-intensive services require data collection from globally distributed fleets. Technical and economic life-cycle data are often fragmented in business ecosystems and the full business potential of data is rarely utilized. Therefore, innovative technological and business model solutions are needed to upgrade the accumulated data into business knowledge that can be used to support decision-making and service delivery. This offers new opportunities not only for typical fleet services such as maintenance but also to support different types of fleet decision-making situations regarding different types of fleets. This publication presents and discusses the findings from the project "Fleet information network and decision-making", which is a part of the DIMECC Service Solutions for Fleet Management (S4Fleet) research program. The project addresses this issue by developing ways to upgrade the accumulated fleet data into valuable business knowledge that can be used in decision-making both on the level of individual companies and the whole ecosystem. The research is conducted in collaboration with companies involved in the research project, and the findings result from multifaceted cooperation with the case companies over a three-year period. The project results in a Data to Business Knowledge (D2BK) model, and documents pathways for industrial ecosystems to implement the model. The main ambition is to increase understanding on fleet data based services and develop ways to create value from fleet data at ecosystem level.

KW - fleet management

KW - data management

KW - industrial services

KW - decision making

M3 - Report

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ER -

Kortelainen H, Hanski J, Kunttu S, Kinnunen S-K, Marttonen-Arola S. Fleet service creation in business ecosystems - from data to decisions: Fleet information network and decision-making. VTT Technical Research Centre of Finland, 2017. 76 p. (VTT Technology; No. 309).