Digital platforms in intermodal freight transport: an analysis of emerging business models and their future dynamics DOI
Paul Bossong, Anne Friedrich, R. Elbert

et al.

International Journal of Physical Distribution & Logistics Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Purpose Intermodal freight transport (IFT) promises to reduce emissions by combining multiple modes. Emerging digital platforms seek address the increasing complexity that arises from a combination of modes, yet understanding their business models remains limited. This study provides in-depth insights into current characteristics and future dynamics IFT platform models. Design/methodology/approach Using an inductive qualitative research approach, we gathered data 19 semi-structured interviews. Based on this empirical data, derived comprehensive model taxonomy, identified distinct archetypes explored dynamics. Findings Four are identified: Marketplaces Self-Brokers facilitate easy booking matching supply demand. Data Hubs Collaboration digitize exchange between actors. While operated digitally dominated entrants, launched intermodal incumbents as extension physical services. Platforms with considerable customer base possess strategic advantages, potentially outperforming entrants in future. Research limitations/implications Although focuses German market, developed taxonomy sets ground for other platform-based encourages validation our findings through quantitative research. Originality/value By being first comprehensively systematize dynamics, creates how can contribute modal shift road environmentally friendly IFT.

Language: Английский

Digital platforms in intermodal freight transport: an analysis of emerging business models and their future dynamics DOI
Paul Bossong, Anne Friedrich, R. Elbert

et al.

International Journal of Physical Distribution & Logistics Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Purpose Intermodal freight transport (IFT) promises to reduce emissions by combining multiple modes. Emerging digital platforms seek address the increasing complexity that arises from a combination of modes, yet understanding their business models remains limited. This study provides in-depth insights into current characteristics and future dynamics IFT platform models. Design/methodology/approach Using an inductive qualitative research approach, we gathered data 19 semi-structured interviews. Based on this empirical data, derived comprehensive model taxonomy, identified distinct archetypes explored dynamics. Findings Four are identified: Marketplaces Self-Brokers facilitate easy booking matching supply demand. Data Hubs Collaboration digitize exchange between actors. While operated digitally dominated entrants, launched intermodal incumbents as extension physical services. Platforms with considerable customer base possess strategic advantages, potentially outperforming entrants in future. Research limitations/implications Although focuses German market, developed taxonomy sets ground for other platform-based encourages validation our findings through quantitative research. Originality/value By being first comprehensively systematize dynamics, creates how can contribute modal shift road environmentally friendly IFT.

Language: Английский

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