The emergence of a sharing revolution is leading to a new societal system of collaboration enabled by digital technologies. Although sharing-based initiatives are re-shaping established organisational practices and innovating traditional business models (BMs), existing research fails in grasping the phenomenon's multiple facets. This study aims at making sense of the Sharing Economy (SE) by shedding light on how startups embed the social trend of sharing and leverage digital technologies to develop innovative BMs. We attempt to solve the current theory-practice misalignment by proposing an original framework, definition, and classification of SE startups. The study presents a cluster analysis on 196 SE startups. We argue that SE startups group into five clusters: (i) pseudo-sharing; (ii) gig economy; (iii) crowd-based economy; (iv) pooling economy; and (v) P2P rental. This study contributes to positioning the SE from both a conceptual and an empirical perspective, interpreting the SE phenomenon from the theoretical lenses of BM Innovation, and classifying it through the unit of analysis of startups, intended as empirical vehicles and manifestation of the phenomenon.

Making sense of the sharing economy: a business model innovation perspective

Sanasi S.;Ghezzi A.;Cavallo A.;Rangone A.
2020-01-01

Abstract

The emergence of a sharing revolution is leading to a new societal system of collaboration enabled by digital technologies. Although sharing-based initiatives are re-shaping established organisational practices and innovating traditional business models (BMs), existing research fails in grasping the phenomenon's multiple facets. This study aims at making sense of the Sharing Economy (SE) by shedding light on how startups embed the social trend of sharing and leverage digital technologies to develop innovative BMs. We attempt to solve the current theory-practice misalignment by proposing an original framework, definition, and classification of SE startups. The study presents a cluster analysis on 196 SE startups. We argue that SE startups group into five clusters: (i) pseudo-sharing; (ii) gig economy; (iii) crowd-based economy; (iv) pooling economy; and (v) P2P rental. This study contributes to positioning the SE from both a conceptual and an empirical perspective, interpreting the SE phenomenon from the theoretical lenses of BM Innovation, and classifying it through the unit of analysis of startups, intended as empirical vehicles and manifestation of the phenomenon.
2020
business model innovation; cluster analysis; digital innovation; Sharing economy
File in questo prodotto:
File Dimensione Formato  
TASM 2020 - Sharing Economy_Main Document_preprint.pdf

accesso aperto

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 599.69 kB
Formato Adobe PDF
599.69 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1133622
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 55
  • ???jsp.display-item.citation.isi??? 47
social impact