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Mimmi Sjöklint

Researcher at Copenhagen Business School

Publications -  9
Citations -  3612

Mimmi Sjöklint is an academic researcher from Copenhagen Business School. The author has contributed to research in topics: Wearable technology & Consumption (economics). The author has an hindex of 5, co-authored 8 publications receiving 2957 citations.

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The sharing economy: Why people participate in collaborative consumption

TL;DR: Information and communications technologies ICTs have enabled the rise of so-called "Collaborative Consumption" CC: the peer-to-peer-based activity of obtaining, giving, or sharing the access to go...
Journal ArticleDOI

The sharing economy: Why people participate in collaborative consumption

TL;DR: The results show that participation in CC is motivated by many factors such as its sustainability, enjoyment of the activity as well as economic gains, and suggest that in CC an attitude‐behavior gap might exist; people perceive the activity positively and say good things about it, but this good attitude does not necessary translate into action.
Journal ArticleDOI

The Complexities of Self-Tracking - An Inquiry into User Reactions and Goal Attainment

TL;DR: The results contribute to a more nuanced understanding of adoption of the emerging wearable technology in daily life and how users deal with the personal data by developing coping tactics, such as disregard, procrastination, selective attribution and neglect.
Proceedings Article

Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework

TL;DR: A multi-theoretical framework is established which enables the investigation of emerging phenomena of the role of numbers in social networking sites and departs from these convictions to investigate user reactions and behaviour when faced with numerical representations in the SNS.
Proceedings ArticleDOI

The measurable me: the influence of self-quantification on the online user's decision-making process

TL;DR: This study approaches the adoption of wearables by looking at active and passive self-quantification online and explores how it may influence and support the user's cognitive processes and subsequent decision-making process.