In-store or online shopping of search and experience goods: A hybrid choice approach
Autor: | Kay W. Axhausen, Basil Schmid |
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Rok vydání: | 2019 |
Předmět: |
050210 logistics & transportation
Choice set User profile 030503 health policy & services media_common.quotation_subject 05 social sciences Advertising Purchasing Field (computer science) Pleasure Travel time 03 medical and health sciences Modeling and Simulation Preference data 0502 economics and business Value (economics) Economics Statistics Probability and Uncertainty Marketing 0305 other medical science media_common |
Zdroj: | Journal of Choice Modelling. 31:156-180 |
ISSN: | 1755-5345 |
DOI: | 10.1016/j.jocm.2018.03.001 |
Popis: | This paper aims at explaining the choice between online and in-store shopping for typical search and experience goods (standard electronic appliances and groceries) within an artificial experimental setting assuming no privately owned cars. We present the first alternative-specific integrated choice and latent variable (ICLV) model using stated preference data in the field of shopping behavior research, explicitly asking respondents to trade-off attributes specific to each shopping channel. Respondents with pro-online shopping attitudes have a higher shopping cost sensitivity, which can be explained by the expanded choice set when effectively considering both purchasing channels. They also exhibit a higher choice probability of online shopping for groceries compared to electronic appliances, given the nature of experience goods being preferably purchased in-store, while the pleasure of shopping shows no substantial effect on choice behavior. Results reveal a user profile of pro-online shoppers that is mainly characterized by a technology-oriented generation of younger and well-educated men. Also, given the relatively high value of travel time compared to the value of delivery time, we show that especially for electronic appliances, avoiding a shopping trip produces more benefits than waiting for the delivery of ordered products. |
Databáze: | OpenAIRE |
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