Digital platforms dominate business paradigms, transforming industries, economic structures, and value generation. Platform business models have evolved from markets and financial exchanges to digital multi-sided ecosystems, as this thesis shows. This research examines platforms' scalability, sustainability, and regulatory issues by examining their technology enablers, monetization tactics, and governance structures. Cross-case and comparative analysis are used to investigate transactional and orthogonal platform models in this qualitative study. It compares the value creation, monetization, and governance of early markets and intermediaries to today's dominating digital platforms using historical case studies. The report analyses Amazon, Google, YouTube, and decentralized Web3 ecosystems to separate direct exchange models from engagement-driven models and explain how each produces value through network effects and income structures. Successful platforms modify their business strategies, monetization methods, and regulatory actions to stay competitive, following a cyclical pattern. The findings refine transactional and orthogonal platform classifications and show how past market patterns influence present digital economies, contributing to platform theory. Platform scalability, regulatory adaption, and business model diversification tendencies are revealed in the cross-case research, helping explain how platforms stay competitive. The report helps platform managers, entrepreneurs, and policymakers negotiate platform scalability, regulatory compliance, and monetization methods. Future study should examine mathematical modelling of platform scalability, how evolving rules affect platform governance, and how decentralized business models may shape platform evolution.
Le piattaforme digitali dominano i paradigmi aziendali, trasformando settori, strutture economiche e generazione di valore. I modelli aziendali delle piattaforme si sono evoluti da mercati e scambi finanziari a ecosistemi digitali multilaterali, come mostra questa tesi. Questa ricerca esamina la scalabilità, la sostenibilità e le problematiche normative delle piattaforme esaminandone i fattori abilitanti tecnologici, le tattiche di monetizzazione e le strutture di governance. In questo studio qualitativo vengono utilizzate analisi comparative e incrociate per analizzare modelli di piattaforma transazionali e ortogonali. Confronta la creazione di valore, la monetizzazione e la governance dei primi mercati e intermediari con le attuali piattaforme digitali dominanti utilizzando casi di studio storici. Il rapporto analizza Amazon, Google, YouTube ed ecosistemi Web3 decentralizzati per separare i modelli di scambio diretto dai modelli basati sull'impegno e spiegare come ciascuno produca valore attraverso effetti di rete e strutture di reddito. Le piattaforme di successo modificano le loro strategie aziendali, i metodi di monetizzazione e le azioni normative per rimanere competitive, seguendo uno schema ciclico. I risultati perfezionano le classificazioni delle piattaforme transazionali e ortogonali e mostrano come i modelli di mercato passati influenzano le attuali economie digitali, contribuendo alla teoria della piattaforma. La scalabilità della piattaforma, l'adattamento normativo e le tendenze alla diversificazione del modello aziendale vengono rivelate nella ricerca cross-case, aiutando a spiegare come le piattaforme rimangono competitive. Il rapporto aiuta i gestori di piattaforme, gli imprenditori e i decisori politici a negoziare la scalabilità della piattaforma, la conformità normativa e i metodi di monetizzazione. Studi futuri dovrebbero esaminare la modellazione matematica della scalabilità della piattaforma, il modo in cui le regole in evoluzione influenzano la governance della piattaforma e il modo in cui i modelli aziendali decentralizzati possono plasmare l'evoluzione della piattaforma.
Tracing the roots of platforms: the evolution of platform business models from early marketplaces to digital ecosystems
Ozgun, Neslihan
2023/2024
Abstract
Digital platforms dominate business paradigms, transforming industries, economic structures, and value generation. Platform business models have evolved from markets and financial exchanges to digital multi-sided ecosystems, as this thesis shows. This research examines platforms' scalability, sustainability, and regulatory issues by examining their technology enablers, monetization tactics, and governance structures. Cross-case and comparative analysis are used to investigate transactional and orthogonal platform models in this qualitative study. It compares the value creation, monetization, and governance of early markets and intermediaries to today's dominating digital platforms using historical case studies. The report analyses Amazon, Google, YouTube, and decentralized Web3 ecosystems to separate direct exchange models from engagement-driven models and explain how each produces value through network effects and income structures. Successful platforms modify their business strategies, monetization methods, and regulatory actions to stay competitive, following a cyclical pattern. The findings refine transactional and orthogonal platform classifications and show how past market patterns influence present digital economies, contributing to platform theory. Platform scalability, regulatory adaption, and business model diversification tendencies are revealed in the cross-case research, helping explain how platforms stay competitive. The report helps platform managers, entrepreneurs, and policymakers negotiate platform scalability, regulatory compliance, and monetization methods. Future study should examine mathematical modelling of platform scalability, how evolving rules affect platform governance, and how decentralized business models may shape platform evolution.| File | Dimensione | Formato | |
|---|---|---|---|
|
2025_04_Ozgun.pdf
solo utenti autorizzati a partire dal 01/03/2026
Descrizione: Tracing the Roots of Platforms: The Evolution of Platform Business Models from Early Marketplaces to Digital Ecosystems
Dimensione
3.45 MB
Formato
Adobe PDF
|
3.45 MB | Adobe PDF | Visualizza/Apri |
I documenti in POLITesi sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/10589/234416