ARCHETYPES OF DIGITAL BUSINESS MODELS IN LOGISTICS START-UPS

Our work develops an archetypical representation of current digital business models of Start-Ups in the logistics sector. In order to achieve our goal, we analyze the business models of 125 Start-Ups. We draw our sample from the Start-Up database AngelList and focus on platform-driven businesses. We chose Start-Ups as they often are at the forefront of innovation and thus have a high likelihood of operating digital business models. Following well-established methodological guidelines, we construct a taxonomy of digital business models in multiple iterations. We employ different algorithms for cluster analysis to find and generate clusters based on commonalities between the business models across the dimensions and characteristics of the taxonomy. Ultimately, we use the dominant features of the emerging patterns within the clusters to derive archetypes

M-commerce – Facts and Forecasts. A Comparative Analysis within a Triad Framework: India, Romania, and the United States

The present article aims to advance a comparative analysis among three countries - India, Romania and the United States - placing mobile devices, internet infrastructure and m-commerce at the core of the investigation. The scope of the study simultaneously covers the landscape and dynamics of m-commerce and of related objective indicators, bringing to the fore figures, facts and forecasts corroborated from the latest reports, statistics and articles. In this respect, it adds up to the extant literature by systematizing report outputs in a unitary comparative framework and by generating inputs for further research endeavours on the subjected factors associated with m-commerce evolution