Designing Outcome-based Contracts for Machine Manufacturers: A Taxonomy of Decision Criteria

Purpose: Machine manufacturers can enhance their revenues by providing outcome-based contracts (OBCs) that focus on delivering the outcome associated with machine performance. Although OBCs are gaining traction, structured taxonomies of decision criteria to guide their design remain underdeveloped. Methodology: This study conducts a systematic literature review of academically reported industrial cases to develop a taxonomy of decision criteria for designing OBCs. Findings: The proposed taxonomy identifies 20 decision criteria that significantly influence lifecycle profits and risk management in OBCs. These criteria mainly relate to ownership responsibilities, and the payment model. The study also outlines its theoretical and practical contributions. Originality: The paper systematizes existing academically reported industrial cases and clarifies OBC-specific business model decision criteria from the perspective of machine manufacturers. It thus future OBC researchers to describe and analyze OBCs with greater depth and precision. Practical implications: The taxonomy provides a practical tool for managers of machine manufacturers to design OBCs more effectively.

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Publication Details

Journal
Journal of Business Models
Published
2025-12-09
DOI
https://doi.org/10.54337/jobm.v13i2.7850
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Designing Outcome-based Contracts for Machine Manufacturers: A Taxonomy of Decision Criteria

Sameer Mittal, Karan Menon, Muztoba Ahmad Khan, Mikko Uuskoski et al.
Journal of Business Models
Quality and Supply Management
article

Designing Outcome-based Contracts for Machine Manufacturers: A Taxonomy of Decision Criteria

Sameer Mittal, Karan Menon, Muztoba Ahmad Khan, Mikko Uuskoski, Thorsten Wuest, Hannu Kärkkäinen
article en

Abstract

Purpose: Machine manufacturers can enhance their revenues by providing outcome-based contracts (OBCs) that focus on delivering the outcome associated with machine performance. Although OBCs are gaining traction, structured taxonomies of decision criteria to guide their design remain underdeveloped. Methodology: This study conducts a systematic literature review of academically reported industrial cases to develop a taxonomy of decision criteria for designing OBCs. Findings: The proposed taxonomy identifies 20 decision criteria that significantly influence lifecycle profits and risk management in OBCs. These criteria mainly relate to ownership responsibilities, and the payment model. The study also outlines its theoretical and practical contributions. Originality: The paper systematizes existing academically reported industrial cases and clarifies OBC-specific business model decision criteria from the perspective of machine manufacturers. It thus future OBC researchers to describe and analyze OBCs with greater depth and precision. Practical implications: The taxonomy provides a practical tool for managers of machine manufacturers to design OBCs more effectively.

Journal of Business Models
University of South Carolina (US), Tampere University (FI), Carroll University (US), Jaipuria Institute of Management (IN), Høyskolen Kristiania (NO)
Business Finland
Openalex Percentile: Top 43%
Quality and Supply Management
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