A systematic literature review of blockchain-based applications: Current status, classification and open issues

หนงสอ Behavioral Game Theory: Experiments in Strategic Interaction เขยนโดย Colin F. Camerer มวตถประสงคเพอนำเสนอหลกฐานเชงประจกษจากผลการวจยจำนวนมากมายทยนยนอทธพลของปจจยทางจตวทยาทมผลตอการตดสนใจตามทฤษฎเกม หนงสอ เลมนไดนำเสนอแนวคดทฤษฎทเพมความสามารถในการอธบายพฤตกรรมการตดสนใจตามทฤษฎเกม (Game theory) ซง von Neumann; & Morgenstern ไดเสนอไวในป ค.ศ. 1944 โดยชใหเหนวา ปจจยทางจตวทยามอทธพลทำใหการตดสนใจทเกดขนจรงคลาดเคลอนจากการคาดการณของทฤษฎเกม

Behavioral Game Theory: Experiments in Strategic Interaction

Presentacio sobre l'Oficina de Proteccio de Dades Personals de la UAB i la politica Open Science. Va formar part de la conferencia "Les politiques d'Open Data / Open Acces: Implicacions a la recerca" orientada a investigadors i gestors de projectes europeus que va tenir lloc el 20 de setembre de 2018 a la Universitat Autonoma de Barcelona

/pdf/general-data-protection-regulation-2z11cloyp7.pdf

General data protection regulation

In an experiment on Airbnb, we find that applications from guests with distinctively African-American names are 16% less likely to be accepted relative to identical guests with distinctively White names. Discrimination occurs among landlords of all sizes, including small landlords sharing the property and larger landlords with multiple properties. It is most pronounced among hosts who have never had an African-American guest, suggesting only a subset of hosts discriminate. While rental markets have achieved significant reductions in discrimination in recent decades, our results suggest that Airbnb’s current design choices facilitate discrimination and raise the possibility of erasing some of these civil rights gains.

/pdf/racial-discrimination-in-the-sharing-economy-evidence-from-a-1vkjpse2q7.pdf

Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment

Privacy and Freedom.

The limits of trust-free systems : A literature review on blockchain technology and trust in the sharing economy

Trust has been in the focus of research on business-to-consumer (B2C) e-commerce in the last decade. The rise of consumer-to-consumer (C2C) markets in the context of the sharing economy, however, has posed new challenges and questions regarding the dimensionality and role of trust in online transactions. We outline a conceptual research model for the role of trust with regard to the consumers’ and suppliers’ intentions to engage in this economy. Our model differentiates between three substantial targets of trust, that is, trust towards peer, platform, and product (3P). We propose and evaluate a questionnaire, which addresses these targets in their dimensions ability, integrity, and benevolence.

https://www.nomos-elibrary.de/10.5771/0042-059X-2016-1-26.pdf

Trust in the Sharing Economy

As peer-to-peer coordinated products and services increasingly constitute competition for traditional businesses in many areas, understanding the underlying user motives of provision and consumption is key -- not only for business operators, but also for researchers investigating such markets. In this article, we develop a questionnaire for assessing motives for and against participating in what is casually referred to as the "Sharing Economy." More specifically, we focus on peer-to-peer rental services and investigate drivers and impediments for user activity in such markets by means of an online survey with over 600 participants.

/pdf/understanding-the-sharing-economy-drivers-and-impediments-inu9k49y4p.pdf

Understanding the Sharing Economy -- Drivers and Impediments for Participation in Peer-to-Peer Rental

Trust is a crucial prerequisite for peer-to-peer rental and sharing. Therefore, platform operators such as Airbnb have implemented a plethora of trustbuilding mechanisms, user interface (UI) artefacts, and reputation systems. While the role of reputation systems for establishing trust is well-understood, little is known about how reputation actually translates into tangible economic value, either by attracting more demand or by enabling the enforcement of higher prices. In this paper, we consider the economic value of trust-building artefacts on Airbnb by quantifying price effects of common reputation features from a signaling theory perspective. Our analysis is based on hedonic price modeling and a large-scale dataset from 86 German cities that provides insights in the price effects of a diverse set of variables (average rating score, number of ratings, Superhost status, ID verification, photos, and duration of membership). Employing hedonic price regression modeling, we find that index signals such as the hosts’ rating scores and duration of membership are associated with economic value. Moreover, also conventional signals such as accommodation photographs consistently translate into price premiums. We discuss implications for platform operators, users, and the general design of Information Systems (IS) artefacts intended to facilitate peer-to-peer platform interactions.

Florian Hawlitschek

Papers

The limits of trust-free systems : A literature review on blockchain technology and trust in the sharing economy

Trust in the Sharing Economy

Understanding the Sharing Economy -- Drivers and Impediments for Participation in Peer-to-Peer Rental

Price Determinants on Airbnb: How Reputation Pays Off in the Sharing Economy

Consumer motives for peer-to-peer sharing