Not in my backyard? Is the anti-Airbnb discourse truly warranted?

Accepted manuscrip

Gender and the Sharing Economy

While the sharing economy has been celebrated as a flexible alternative to traditional employment for those with family responsibilities, especially women, it presents challenges for gender equality. Many of the services that are “shared” take place in the context of intimacy, which can have substantial consequences for transacting, particularly by enhancing the importance of identity of both the worker and the customer. Expanding on previous research on intimate work — a critical area that exists largely in limbo between the law of the market and the law of the family — this Article, written for the Cooper-Walsh Colloquium, explores the significance of intimacy in the sharing economy and the implications for its regulation of the sharing economy and for sex equality. It argues that the intimacy of many sharing economy transactions heightens the salience of sex to these transactions, in tension with sex discrimination law’s goal of reducing the salience of sex in the labor market. But even if existing sex discrimination law extends to these transactions, the intimacy of the transactions again limits the law’s ability to promote gender equality in the same transformative way that it has in the traditional economy. The sharing economy thus raises serious concerns for proponents of sex equality

Equity of Attention: Amortizing Individual Fairness in Rankings

Rankings of people and items are at the heart of selection-making, match-making, and recommender systems, ranging from employment sites to sharing economy platforms. As ranking positions influence the amount of attention the ranked subjects receive, biases in rankings can lead to unfair distribution of opportunities and resources, such as jobs or income. This paper proposes new measures and mechanisms to quantify and mitigate unfairness from a bias inherent to all rankings, namely, the position bias, which leads to disproportionately less attention being paid to low-ranked subjects. Our approach differs from recent fair ranking approaches in two important ways. First, existing works measure unfairness at the level of subject groups while our measures capture unfairness at the level of individual subjects, and as such subsume group unfairness. Second, as no single ranking can achieve individual attention fairness, we propose a novel mechanism that achieves amortized fairness, where attention accumulated across a series of rankings is proportional to accumulated relevance. We formulate the challenge of achieving amortized individual fairness subject to constraints on ranking quality as an online optimization problem and show that it can be solved as an integer linear program. Our experimental evaluation reveals that unfair attention distribution in rankings can be substantial, and demonstrates that our method can improve individual fairness while retaining high ranking quality.Comment: Accepted to SIGIR 201

Platform Advocacy and the Threat to Deliberative Democracy

Businesses have long tried to influence political outcomes, but today, there is a new and potent form of corporate political power—Platform Advocacy. Internet-based platforms, such as Facebook, Google, and Uber, mobilize their user bases through direct solicitation of support and the more troubling exploitation of irrational behavior. Platform Advocacy helps platforms push policy agendas that create favorable legal environments for themselves, thereby strengthening their own dominance in the marketplace. This new form of advocacy will have radical effects on deliberative democracy. In the age of constant digital noise and uncertainty, it is more important than ever to detect and analyze new forms of political power. This Article will contribute to our understanding of one such new form and provide a way forward to ensure the exceptional power of platforms do not improperly influence consumers and, by extension, lawmakers

Discrimination by Customers

Customers discriminate by race and gender, with considerable negative consequences for female and minority workers and business owners. Yet anti-discrimination laws apply only to discrimination by firms, not by customers. We examine efficacy and privacy reasons for why this may be so, as well as changing features of the market that, by blurring the line between firms and customers, make current law increasingly irrelevant. We conclude that, while there are reasons to be cautious about regulating customer behavior, those reasons do not justify acceding to customer discrimination altogether. To open a discussion of the regulatory options that take account of the most significant concerns, we offer a modest proposal. This proposal does not create a legal obligation on the part of customers themselves, but rather requires firms that already have nondiscrimination obligations to do more to reduce the occurrence, and consequences, of discrimination by customers

Using segmentation to compete in the age of the sharing economy: testing a core-periphery framework

Airbnb has emerged as a credible competitive threat to the hotel industry. Consequently, hotel brands are having to rethink the experiences they provide to customer in an increasingly competitive environment. Despite these trends in the industry, experience-related research that examines and informs these developments remains under-represented in the hospitality and tourism literature. The present study offers a systematic approach to examine the potential differences in experiential consumption in the accommodations industry. Using a multiple-group analysis approach, it examines the moderating effects of individual characteristics and situational factors on the nature and dynamics of experiential consumption in the accommodations industry. The findings of the study culminate in the core-periphery framework of the hospitality consumption experience that can provide a relevant theoretical lens for future research into the different sectors and types of experiences within the hospitality and tourism industry. The study also outlines important implications for the hotel industry’s strategic experience design initiatives, from the standpoint of product development, the segmentation, targeting and positioning (STP) process, and marketing communications.Accepted manuscrip

The accommodation experiencescape: a comparative assessment of hotels and Airbnb

PURPOSE: Accommodations providers in the sharing economy are increasingly competing with the hotel industry vis-à-vis the guest experience. Additionally, experience-related research remains underrepresented in the hospitality and tourism literature. This paper aims to develop and test a model of experiential consumption to provide a better understanding of an emerging phenomenon in the hospitality industry. In so doing, the authors also expand Pine and Gilmore’s original experience economy construct. DESIGN/METHODOLOGY/APPROACH: Using data from a survey of 630 customers who stayed at a hotel or an Airbnb in the previous three months, the authors performed a multi-step analysis procedure centered on structural equation modeling to validate the model. Findings The authors demonstrate that the dimensions of serendipity, localness, communitas and personalization represent valuable additions to Pine and Gilmore’s original experience economy construct. Airbnb appears to outperform the hotel industry in the provision of all experience dimensions. The authors further define the pathways that underlie the creation of extraordinary, memorable experiences, which subsequently elicit favorable behavioral intentions. PRACTICAL IMPLICATIONS: The findings suggest the need for the hotel industry to adopt a content marketing paradigm that leverages various dimensions of the experience economy to provide customers with valuable and relevant experiences. The industry must also pay greater attention to its use of branding, signage and promotional messaging to encourage customers to interpret their experiences through the lens of these dimensions. ORIGINALITY/VALUE: The study expands a seminal construct from the field of services marketing in the context of the accommodations industry. The Accommodations Experiencescape is offered as a tool for strategic experience design. The study also offers a model of experiential consumption that explains customers’ experiences with accommodations providers

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

People are rated and ranked, towards algorithmic decision making in an increasing number of applications, typically based on machine learning. Research on how to incorporate fairness into such tasks has prevalently pursued the paradigm of group fairness: giving adequate success rates to specifically protected groups. In contrast, the alternative paradigm of individual fairness has received relatively little attention, and this paper advances this less explored direction. The paper introduces a method for probabilistically mapping user records into a low-rank representation that reconciles individual fairness and the utility of classifiers and rankings in downstream applications. Our notion of individual fairness requires that users who are similar in all task-relevant attributes such as job qualification, and disregarding all potentially discriminating attributes such as gender, should have similar outcomes. We demonstrate the versatility of our method by applying it to classification and learning-to-rank tasks on a variety of real-world datasets. Our experiments show substantial improvements over the best prior work for this setting.Comment: Accepted at ICDE 2019. Please cite the ICDE 2019 proceedings versio