Takeaway Trust: A market data perspective on reputation portability in electronic commerce

Reputation has become a key factor within today’s online platform landscape. In particular for sellers in electronic commerce, the management of reputation as a signal of trustworthiness has become a relevant business activity. Prior studies have focused on either the role of reputation within given (but platform-bound) environments or general data portability between platforms. The question of cross-platform reputation portability, however, has thus far achieved much less attention. With this exploratory work, we present survey data on consumers’ perception of portable reputation in the platform economy and a case study based on actual (seller) market data from an e commerce marketplace. Our results show that consumers are generally receptive for imported seller reputation. However, for seller ratings to function as an effective signaling device across platform boundaries, adequate means of representation have yet to be found

Nowcasting gentrification using Airbnb data

There is a rumbling debate over the impact of gentrification: presumed gentrifiers have been the target of protests and attacks in some cities, while they have been welcome as generators of new jobs and taxes in others. Census data fails to measure neighborhood change in real-time since it is usually updated every ten years. This work shows that Airbnb data can be used to quantify and track neighborhood changes. Specifically, we consider both structured data (e.g., number of listings, number of reviews, listing information) and unstructured data (e.g., user-generated reviews processed with natural language processing and machine learning algorithms) for three major cities, New York City (US), Los Angeles (US), and Greater London (UK). We find that Airbnb data (especially its unstructured part) appears to nowcast neighborhood gentrification, measured as changes in housing affordability and demographics. Overall, our results suggest that user-generated data from online platforms can be used to create socioeconomic indices to complement traditional measures that are less granular, not in real-time, and more costly to obtain

Possessions and the Self: Downstream Consequences of Ownership and Sharing What We Own

My dissertation is based on the premise that possessions are an extension of the self. Beyond simple functional benefits that possessions provide us, I question whether possessions affect our self-perception and behavior. Specifically, I focus on two aspects of possessions: Ownership (Essay 1) and Sharing (Essay 2). In Essay 1, I find that feeling a sense of product ownership has downstream consequences in one’s representation of who s/he is. Here I reveal that salient feelings of product ownership activate a product-related self in one’s mind, but more importantly deactivate product-unrelated self. By identifying simultaneous identity activation and deactivation, I show that an individual can only hold a limited number of salient selves, and activating one’s self aspect requires a trade-off. This finding updates the prior assumption in the literature that an individual can hold an unlimited number of selves, and further suggests that there is still a finite limit to what can be salient at a given time. My interest in ownership extends to Essay 2, where I examine another behavioral aspect of consumers: sharing. Sharing behavior has received much attention lately due to the rise of sharing economy platforms, which provide new opportunities for consumers to share personal belongings with others. In Essay 2, I mine people’s latent motivation behind sharing by using a transaction dataset from one of the largest sharing economy platforms, Airbnb. Here I find that people are driven by not only monetary, but also non-monetary reasons, such as desires to meet others and share the beauty of their homes. Then I explore how each motivation affects people’s engagement on the sharing economy platform and their continued effort to share. This second essay highlights individuals’ new role as micro-entrepreneurs in this new era of the 21st century

The impact of Airbnb on the economic performance of independent hotels: an empirical investigation of the moderating effects

The evidence on the effect that sharing economy accommodation platforms have on the performance of hotels is not univocal, and a general picture about the circumstances under which hotels may suffer the least from this disruption is still missing. This paper contributes to bridge this gap by examining the role that contingent factors can play in reducing the negative impact of Airbnb on the profitability growth of independent hotels. We examine whether the attractiveness of the city zone where hotels are located and their online reputation moderate the effect that the usage of Airbnb listings has on the profitability growth of independent hotels. Using a panel dataset of a sample of 725 independent hotels located in six Italian cities with high tourism attractiveness, and by triangulating ISTAT, AIDA, AirDNA, TripAdvisor and Trustyou datasets, we found that the negative effect of Airbnb on the profitability growth of hotels is reduced when the hotels are located in attractive city zones. However, the online reputation of hotels does not have any significant moderating effect on the relationship investigated. We discuss how these results contribute to understand competitive dynamics in the hotel industry through a lens based on the disruptive innovation theory

In Stars We Trust – A Note on Reputation Portability Between Digital Platforms

Complementors accumulate reputation on an ever-increasing number of online platforms. While the effects of reputation within individual platforms are well-understood, its potential effectiveness across platform boundaries has received much less attention. This research note considers complementors’ ability to increase their trustworthiness in the eyes of prospective consumers by importing reputational data from another platform. The study evaluates this potential lever by means of an online experiment, during which specific combinations of on-site and imported rating scores are tested. Results reveal that importing reputation can be advantageous – but also detrimental, depending on ratings’ values. Implications for complementors, platform operators, and regulatory bodies concerned with online reputation are considered