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Spatiotemporal Patterns and Socioeconomic Influences on Host Participation in Short-Term Rental Markets: Airbnb in San Francisco
This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb’s short-term rental (STR) marketplace in San Francisco during the years 2019–2022, a four-year period that spans the COVID-19 pandemic. This provides the motivation for the study to examine how San Francisco’s demographic and socioeconomic fluctuations influenced Airbnb hosts to rent their properties on the platform. To do so, Airbnb property densities, indicators of host participation, are estimated at the census tract level and subsequently mapped in a GIS along with points of interest (POIs) located all over the city. Mapping unveils spatiotemporal patterns and changes in Airbnb property densities, which are also analyzed for spatial autocorrelation using Moran’s I. Clusters and outliers of property densities are identified using K-means clustering and geostatistical methods such as local indicators of spatial association (LISA) analysis. Locationally, San Francisco’s Airbnb hotspots are not located in the city’s core, unlike other major Airbnb markets in metropolitan areas. Instead, such hotspots are in the city’s northeastern neighborhoods around ethnic enclaves, in close proximity to POIs that are frequented by visitors, and have a higher proportion of hotel and lodging employment and lower median household income. A conceptual model posits associations of Airbnb property densities with sixteen demographic, socioeconomic factors, indicators of trust, social capital, and sustainability, along with proximity to points of interest. Ordinary least squares (OLS) regressions reveal that occupation in professional, scientific, and technical services, hotel and lodging employment, proximity to POIs, and proportion of Asian population are the dominant factors influencing host participation in San Francisco’s shared accommodation economy. The occupational influences are novel findings for San Francisco. These influences vary somewhat for two main types of properties—entire home/apartment and private rooms. Implications of these findings are discussed in relation to supply side motivations of Airbnb hosts to participate in San Francisco’s STR marketplace.
Journal Article
Atlas of Mexico
\"This atlas, a part of a larger project devoted to developing a database of population of Mexico, will enhance understanding of Mexico, broaden US perspectives on Mexico, and interest others in using the data and maps in the information system.\" -- Provided by publisher
Book
Spatial and socioeconomic analysis of host participation in the sharing economy
PurposeIn recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers.Design/methodology/approachTo address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics.FindingsSpatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported.Research limitations/implicationsThese results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods.Originality/valueThe study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.
Journal Article
A Global Model of Technological Utilization Based on Governmental, Business-Investment, Social, and Economic Factors
This exploratory paper presents a conceptual model of the factors of governmental support and openness, business and technology investment, and socioeconomic level that are posited to influence technological utilization. The conceptual model and conjectures are developed inductively based on logic and prior research about the relationship among variables related to the factors. Structural equation modeling (SEM) is applied to operationalize and test the model. The SEM analysis tests five points of investigation on a large sample of country data from the World Bank and the World Economic Forum. Findings indicate a critical pathway of associations between the factors of government support and openness, investment in business and technology, socioeconomic level, and technology utilization. The paper presents two country case examples of the model and suggests policy steps for national governments of developed and developing countries to prioritize information and communications technology, create openness, strengthen research and development and technology investment, and enhance education and information technology training.
Journal Article
Location Analytics in Information Systems: Opportunities for Research and Teaching
Location analytics can inform decision-making and long-term strategies in various sectors and industries such as retail, manufacturing, government, defense, transportation, logistics, energy, and utilities for customer experience management, sales, marketing, supply chain optimization, business continuity and resilience, remote monitoring of critical assets, and risk management. Despite organizations gaining a competitive edge through location analytics, its adoption within the academic Information Systems (IS) discipline remains sparse. The absence of spatial methodologies in analytical and behavioral IS research is striking. Furthermore, this lack of integration is evident as spatial problem-solving is scarcely covered in IS curricula, and location data analysis is often relegated as a peripheral skill. Our panel paper delineates the many opportunities location analytics presents for broadening research horizons and enriching IS education. We suggest incorporating location analytics into research by demonstrating how spatial methodologies can bolster IS research rigor. We also explain how integrating location analytics into the IS curricula can prepare students for this growing area of analytics. Foremost, we aim to catalyze a paradigm shift towards more spatially informed IS research and education.
Journal Article
The Mexico Handbook
This reference incorporates information from the 1990 Mexican census and combines a wealth of historical data with revised graphs and improved maps showing social and economic change over the past century, particularly over the past decade.
eBook
A motivational model for technology-supported cross-organizational and cross-border collaboration
The academic popularity of the topic of electronic cross-organizational and cross-border collaboration is perhaps best evident in the large number of publications on this topic. For example, a systematic review of 1180 papers published between 2000 and 2007 in only six information systems (IS) journals reveals that 80 papers are related to electronic cross-organizational and cross-border collaboration. This
EJIS
special issue attracted a record number of 66 paper submissions of which eight were finally accepted for publication. In the context of this special issue, we define the focus of interest as ‘the integration of people, systems, processes and infrastructure across organizations, borders, nations and world regions to enable productive teamwork towards accomplishing mutual goals’.
Journal Article
Shifting patterns of suburban dominance: the case of Chicago from 2000 to 2010
The main map Shifting Patterns of Suburban Dominance: The Case of Chicago from 2000 to 2010 depicts the dramatic outward shift in population from Chicago's old industrial suburbs to the region's new economy suburbs. In a prior study, a rank mobility index (RMI) was applied to Chicago's suburbs and mapped using a graduated symbol map to show dramatic changes in the suburban hierarchy from 1990 to 2000. This paper updates the earlier study with results from the 2010 census so as to explore changes in Chicago's suburban hierarchy during the 2000-2010 period. We use a Getis-Ord Gi approach to geo-visualize the regional difference and change for these rank shifts. The resulting map reveals a contemporary urban development pattern consistent with those depicted in early twentieth-century models of Chicago's growth.
Journal Article
