Startup Search Costs

2018 ◽  
Author(s):  
David P. Byrne ◽  
Nicolas de Roos
Keyword(s):  
Search Costs

Search Costs, Market Structure and Interest Rate Dispersion

2005 ◽  
Author(s):  
Alfredo Martin Oliver ◽  
Jesus Saurina Salas ◽  
Vicente Salas-Fumás
Keyword(s):  
Interest Rate ◽  
Market Structure ◽  
Search Costs

Using International Trade Data for Evaluating the Product Specific Competitiveness and Supplied Product Quality of Countries: A Successful Example of Applied Theory

2006 ◽  
Vol 8 (2) ◽  
pp. 229 ◽  
Author(s):  
Thomas Cleff
Keyword(s):  
Product Quality ◽  
Longitudinal Section ◽  
Search Costs ◽  
Applied Theory ◽  
Present Level ◽  
Combined System ◽  
Trade Data ◽  
Simple Regression ◽  
Selection Of

This paper proposes a simple regression-based method for reducing the complexity of decisions in the international procurement process. Based on foreign trade data, the method uses indicators, which allow a product specific cross-section and longitudinal-section valuation of the international competitiveness and the supplied product quality of all potential supplier countries. The method thus provides a variety of information for procurement departments, including the present level and the dynamic of competitiveness and product quality for the potential supplier countries within every product group of the international product nomenclature (Combined System and the Harmonised System). Potential supplier countries --the companies of which have proven to be particularly competitive in the different product quality stages-- are identified. This pre-selection of countries enables the companies to limit their search for potential suppliers to the selected supplier countries. High search costs are subsequently reduced and trend prognoses can be constructed.

scholarly journals Online rental housing market representation and the digital reproduction of urban inequality

2019 ◽  
Vol 52 (2) ◽  
pp. 449-468 ◽  
Author(s):  
Geoff Boeing
Keyword(s):  
Housing Market ◽  
Smart Cities ◽  
Rental Housing ◽  
Search Costs ◽  
Poverty Rate ◽  
The Internet ◽  
Urban Inequality ◽  
The Usa ◽  
Housing Search ◽  
Rental Housing Market

As the rental housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings’ representativeness could impact different communities’ access to housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe housing practitioners’ and researchers’ ability to draw broad market insights from listings to understand rental supply and affordability. This study examines millions of Craigslist rental listings across the USA and finds that they spatially concentrate and overrepresent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities’ online housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available rental supply in real time, it does not evenly represent all market segments. The internet promises information democratization, and online listings can reduce housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies, human interactions, and planners’ ability to monitor and respond to urban challenges.

scholarly journals Searching For Better Prospects: Endogenizing Falling Job Tenure and Private Pension Coverage

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
Leora Friedberg ◽  
Michael T Owyang ◽  
Tara M Sinclair
Keyword(s):  
Job Search ◽  
Search Costs ◽  
Private Pension ◽  
Search Model ◽  
Defined Benefit ◽  
Job Tenure ◽  
Relative Wages ◽  
Pension Coverage ◽  
New Evidence ◽  
General Conditions

Abstract Recent declines in job tenure have coincided with a shift away from traditional defined benefit (DB) pensions, which reward long tenure. New evidence also points to an increase in job-to-job movements by workers, and we document gains in relative wages of job-to-job movers over a similar period. We develop a search model in which firms may offer tenure-based contracts like DB pensions to reduce the incidence of costly on-the-job search by workers. Either reduced search costs or an increase in the probability of job matches can, under fairly general conditions, lower the value of deterring search and the use of DB pensions.

How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment

2021 ◽  
Author(s):  
Xitong Li ◽  
Jörn Grahl ◽  
Oliver Hinz
Keyword(s):  
Recommender Systems ◽  
Mediation Analysis ◽  
Search Costs ◽  
Consideration Sets ◽  
Consideration Set ◽  
Relevant Alternatives ◽  
Positive Effects ◽  
Online Retailers ◽  
Causal Mediation Analysis

The findings underscore the important role of consumers’ consideration sets in mediating the positive effects of recommender systems on consumer purchases. Practical strategies can be developed to facilitate the formation of the consideration sets. For example, to reduce consumers’ search costs and cognitive efforts, online retailers can display the recommended products in a descending order according to the predicted closeness of consumers’ preferences. Online retailers can further indicate the predicted closeness scores of consumers’ preferences for the recommended products. Given such a placement arrangement, consumers can quickly screen the recommended products and add the most relevant alternatives to their consideration sets, which should facilitate consumers’ shopping process and increase the shopping satisfaction. The findings also suggest that a larger consideration set due to the use of recommender systems could induce consumers to buy. Yet, it is difficult for consumers to manage many alternatives when the consideration set is very large. To facilitate consumers’ shopping process, online retailers need to consider strategies and tools that help consumers manage the alternatives in the consideration set in a better-organized manner and facilitate the comparison across the alternatives.

Sign in / Sign up

Export Citation Format

Share Document