Showing papers by "David Bell published in 2004"

Authenticating Queer Space: Citizenship, Urbanism and Governance:

Abstract: The focus of this paper is the impact of the 'new urban order' on sexualised spaces in cities. The paper explores how sexual 'others' are conscripted into the process of urban transformation and, b...

City of Quarters: Urban Villages in the Contemporary City

Abstract: Contents: Conceptualizing the City of Quarters, David Bell and Mark Jayne. Part I: Urban Regeneration: Pyrmont-Ultimo: the newest chic quarter of Sydney, Gordon Waitt Drawn and quartered: El Raval and the Haussmannization of Barcelona, Malcolm Miles Fables of the reconstruction (of the fables ...): Lower Manhattan after 9/11, James DeFilippis. Part II: Production and Consumption: Cultural industry quarters - from pre-industrial to post-industrial production, Graeme Evans Supporting the cultural quarter? The role of the creative intermediary, Tom Fleming Popular music, urban regeneration and cultural quarters: the case of the rope walks, Liverpool, Abigail Gilmore Quarterizing the city: the spatial politics of the Joyce industry in Dublin, Stephanie Rains. Part III: Identities, Lifestyles and Forms of Sociability: Nottingham's de facto cultural quarter: the lace market, independents and a convivial ecology, Jim Shorthose Quartering sexualities: gay villages and sexual citizenship, Jon Binnie Finding Chinatown: ethnocentrism and urban planning, Wun Chan. Part IV: Rethinking Neighbourhoods/Rethinking Quarters: Rethinking neighbourhoods: from urban villages to cultural hubs, Chris Murray Red lights and safety zones, Maggie O'Neill, Rosie Campbell, Anne James, Mark Webster, Kate Green, Jay Patel, Nasreen Akhtar and Waheed Saleem Re-discovering Coketown, Phil Denning The culture of neighbourhoods: a European perspective, Franco Bianchini and Lia Ghilardi Afterword: thinking in quarters, David Bell and Mark Jayne Bibliography Index.

Cyberculture: The Key Concepts

Abstract: The only A-Z guide available on this subject, this book provides a wide-ranging and up to date overview of the fast-changing and increasingly important world of cyberculture. Its clear and accessible entries cover aspects ranging from the technical to the theoretical, and from movies to the everyday, including: Artificial Intelligence Cyberfeminism Cyberpunk Electronic government Games HTML Java The Matrix Netiquette Piracy. Fully cross-referenced and with suggestions for further reading, this comprehensive guide is an essential resource for anyone interested in this fascinating area.

Social Contagion and Trial on the Internet: Evidence from Online Grocery Retailing

Abstract: For a traditional retailer, the size of the customer pool can evolve over time but is largely bounded in space. In contrast, an Internet retailer with the appropriate shipping infrastructure can draw customers from a wide-ranging geographical area (e.g., the entire United States). We examine the trial decision for customers shopping at an Internet grocery retailer. Drawing on literature in economics, marketing and sociology, we conjecture that the trial decision may be subject to social influence or contagion. That is, exposure to the actions of proximate others - either through direct social interaction or passive observation - influences the trial decision of individuals who have yet to experience the service. This idea is tested in a discrete time hazard setting in which consumer trial decisions arise from utility-maximizing behavior. Moreover, our derivation allows use of region-level data to estimate a model consistent with individual utility maximization, even in the absence of individual level covariates. We find that the marginal impact of the so-called neighborhood effect is economically meaningful as it results in an approximately fifty percent increase in the baseline hazard of trial. This effect is robust to the inclusion of a broad set of covariates, region-level fixed effects, and time-dependent heterogeneity in the baseline trial rate. The model is calibrated on a unique dataset spanning: (1) 29,701 residential zip codes, (2) 156,049 customer transactions over forty-five months, and (3) zip code specific contiguity data from Geographic Information System (GIS) analysis. Substantive implications for customer base evolution and Internet retailing are discussed.

Recovering SKU-level Preferences and Response Sensitivities from Market Share Models Estimated on Item Aggregates

Abstract: We propose an alternative approach to obtaining SKU-level preferences and response sensitivities. An attribute-level model in which the unit of analysis is the market share for an alternative created by aggregation e.g., Colgate toothpaste) is distinguished from a truly disaggregate SKU-level model and develop an analytical relationship between parameters obtained from these two models is established. We show that the researcher can recover SKU-level parameters via calculation from estimated attribute-level parameters, circumventing the need for direct estimation of the more complex true SKU-level model. Our market share model is calibrated using 98 weeks of data for 10 brands and 168 SKUs in the toothpaste category. We show that instead of estimating 168 preference parameters (when we have an outside alternative in addition to the 168 inside ones), one need only estimate 10 brand preference parameters from which the 168 parameters can be computed as long as share and marketing mix data are available at the SKU level. Marketing mix response parameters can be recovered in a similar fashion. Estimation on holdout samples demonstrates superior predictive performance compared with other available methods. Implications for the derivation of SKU-level elasticities and forecasts of market share and response sensitivity for new items introduced to the category are discussed.

The Effect of Inventory on Purchase Incidence: Empirical Analysis of Opposing Forces of Storage and Consumption

Abstract: Behavioral studies and recent empirical research suggest higher levels of inventory on hand can lead consumers to increase consumption. Inventory on hand is therefore posited to exert two countervailing forces on the probability of purchase incidence. First, higher levels of inventory reduce the likelihood of purchase as the consumer feels less pressure to buy. At the same time however, theory suggests higher levels of inventory may drive up the rate of consumption, thereby increasing the probability of incidence. We develop an empirical model that explicitly captures these two effects. The elasticity of purchase incidence with respect to inventory derived from the model is shown to capture these opposing forces in a simple and intuitive way. The analytical expression allows calculation of a threshold below (above) which the net effect is positive (negative). The model is estimated on ten product categories from the Stanford Market Basket database and is shown to fit better than both the standard nested logit approach and an alternative formulation developed by Ailawadi and Neslin (1998). The threshold values have plausible magnitudes and are intuitive across categories: butter, margarine and crackers have relatively low thresholds implying that inventory build up does not drive consumption; ice cream and soft drinks have relatively large thresholds (below which the inventory pressure to consume more outweighs the effect to delay purchase). Implications for retail management are discussed.

An Empirical Test of the Theory of Sales: Do Household Storage Costs Affect Consumer and Store Behavior?

Abstract: We revisit and test Salop and Stiglitz (1982) Theory of Sales. Equilibrium predictions are that higher consumer storage costs lead to: (1) higher average prices, (2) fewer promotions, and (3) shallower promotions. Empirical estimates of storage cost are developed for approximately 1,000 households using the American Housing Survey (1989), United States Census (1990), and Stanford Market Basket Database (1991-1993). A test of the key assumption finds consumers with higher storage costs shop more often and purchase smaller quantities per visit; moreover, all three equilibrium predictions are supported. The estimated quantitative effects on shopping frequency and prices are economically important.