Success Factors in Product Management and the Role of Data

Product management (PM) coordinates product ideation, planning, development, marketing, and control. Today, the key challenge is adapting quickly to market changes. In addition, product-related data and its analysis are becoming increasingly important in improving product-related decisions so-called data-driven product management. The success of PM activities depends on several factors. A detailed analysis of these success factors enables better alignment of PM with its contingencies, thereby enhancing competitiveness. Our research is grounded in a systematic literature review to identify success factors in PM. To improve these insights, we conducted a quantitative survey of product managers, examining the success factors regarding their influence on PM and the extent to which they can be shaped by it. It also discusses the success factors in data-driven PM by asking how much data can support fulfilling the success factors. The results provide valuable insights for research and industry by identifying and ranking a central set of success factors. Furthermore, our findings highlight the growing importance of data analytics in enhancing PM practices and driving strategic decision-making.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.167
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28

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article

Success Factors in Product Management and the Role of Data

Timm Fichtler, Roman Dumitrescu, Christian Koldewey, Khoren Grigoryan et al.
1 citations
Procedia CIRP
Big Data and Business Intelligence
2.28
article

Success Factors in Product Management and the Role of Data

Timm Fichtler, Roman Dumitrescu, Christian Koldewey, Khoren Grigoryan, Lisa Petzke
article en
1 citations

Abstract

Product management (PM) coordinates product ideation, planning, development, marketing, and control. Today, the key challenge is adapting quickly to market changes. In addition, product-related data and its analysis are becoming increasingly important in improving product-related decisions so-called data-driven product management. The success of PM activities depends on several factors. A detailed analysis of these success factors enables better alignment of PM with its contingencies, thereby enhancing competitiveness. Our research is grounded in a systematic literature review to identify success factors in PM. To improve these insights, we conducted a quantitative survey of product managers, examining the success factors regarding their influence on PM and the extent to which they can be shaped by it. It also discusses the success factors in data-driven PM by asking how much data can support fulfilling the success factors. The results provide valuable insights for research and industry by identifying and ranking a central set of success factors. Furthermore, our findings highlight the growing importance of data analytics in enhancing PM practices and driving strategic decision-making.

Procedia CIRPVol. 136
Paderborn University (DE), Fraunhofer Institute for Mechatronic Systems Design (DE)
Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen
Decent work and economic growth
Openalex Percentile: Top 9%
Big Data and Business Intelligence
2.28
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Success Factors in Product Management and the Role of Data — Timm Fichtler, Roman Dumitrescu, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS