PurposeThe purpose of this paper is to experiment a dynamic performance management (DPM) approach to explore and assess the business dynamics of digital ride-hailing platforms with a focus on both supply and demand sides, and related interplays.Design/methodology/approachThe research adopts the DPM framework supported by simulation-based experimentations for developing a systemic case interpretation of Uber Inc. and its specific business complexity.FindingsThe emerging scenario analysis reveals that changes in the commission percentage for drivers and cutting prices for customers (car hailers) by competitors have significant impacts on the car-hailing industry.Originality/valueDPM and associated simulation-based analysis of the ride-hailing business may provide significant managerial decision insights and a ground base research in a relatively less-explored field within the strategic management domain.

The era in which learning was limited to a special class of people has long since reached its end. Rapid changes in information technology, which affect all aspects of modern life, make continuous learning an inevitable requirement of prosperity and development. Knowledge sharing plays a significant role in the process of learning. E-learning is the latest process of knowledge sharing in which people intentionally share what they have learned and receive the latest knowledge from the provider of e-learning. In this regard, knowledge sharing has a major impact on e-learning quality as the sharing of knowledge comprises the core process of e-learning. In this paper, the authors propose utilizing influential knowledge sharing indicators for e-learning quality assessment that can provide an informative basis for further studies on quality measurement of e-learning processes.

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