Experience Goods

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Zhuo Cheng - One of the best experts on this subject based on the ideXlab platform.

  • HICSS - How Does the Valence of Online Consumer Reviews Matter in Consumer Decision Making? Differences between Search Goods and Experience Goods
    2010 43rd Hawaii International Conference on System Sciences, 2010
    Co-Authors: Qiang Ye, Yijun Li, Zhuo Cheng
    Abstract:

    Existing empirical studies have drawn inconsistent conclusions about the effect of electronic word-of-mouth valence on consumer decision making. Based on attribution theory and prospect theory, this study attempts to explain this discrepancy through exploring how product type moderates the impact of online consumer reviews valence. Our results from a 2 (Positive reviews vs. Negative reviews) 2 (Search Goods vs. Experience Goods) experiment design show that the effect of online consumer reviews valence is asymmetrically moderated by product type: The effect of positive reviews is greater for search Goods than that for Experience Goods, whereas the effects of negative reviews have no significant difference between these two types of Goods; And the impact difference between negative reviews and positive reviews is greater for Experience Goods than for search Goods. Our study not only confirms the moderating role of product type, but also further explores how product type moderates the effect of reviews valence. We also provide implications for e-marketers.

  • How Does the Valence of Online Consumer Reviews Matter in Consumer Decision Making? Differences between Search Goods and Experience Goods
    2010 43rd Hawaii International Conference on System Sciences, 2010
    Co-Authors: Qiang Ye, Yijun Li, Zhuo Cheng
    Abstract:

    Existing empirical studies have drawn inconsistent conclusions about the effect of electronic word-of-mouth valence on consumer decision making. Based on attribution theory and prospect theory, this study attempts to explain this discrepancy through exploring how product type moderates the impact of online consumer reviews valence. Our results from a 2 (Positive reviews vs. Negative reviews) 2 (Search Goods vs. Experience Goods) experiment design show that the effect of online consumer reviews valence is asymmetrically moderated by product type: The effect of positive reviews is greater for search Goods than that for Experience Goods, whereas the effects of negative reviews have no significant difference between these two types of Goods; And the impact difference between negative reviews and positive reviews is greater for Experience Goods than for search Goods. Our study not only confirms the moderating role of product type, but also further explores how product type moderates the effect of reviews valence. We also provide implications for e-marketers.

Patricia L Mokhtarian - One of the best experts on this subject based on the ideXlab platform.

  • the association between spatial attributes and e shopping in the shopping process for search Goods and Experience Goods evidence from nanjing
    Journal of Transport Geography, 2018
    Co-Authors: Feng Zhen, Xiaojuan Du, Patricia L Mokhtarian
    Abstract:

    Abstract The proliferation of e-shopping has implications for shopping travel and commercial land use. Using data collected from adult internet users in Nanjing, China in 2015, this study develops trivariate probit models to explore the influence of spatial attributes on shopping channel choices at the pre-purchase and purchase stages in the shopping process for both search Goods (books) and Experience Goods (clothing). We find that those who live and work in suburban areas are more likely than others to shop at traditional stores to conduct pre-purchase and purchase activities for books and clothing, likely because of the slow diffusion of e-shopping in these areas. On the other hand, travel time to stores is positively associated with online shopping for books but not for clothing, and onerous travel modes are associated with pre-purchase activities on the internet. Thus, shopping accessibility negatively affects e-shopping. However, its effects vary by shopping stage and product type.

  • the interactions between e shopping and store shopping in the shopping process for search Goods and Experience Goods
    Transportation, 2017
    Co-Authors: Qing Zhai, Patricia L Mokhtarian, Feng Zhen
    Abstract:

    When exploring the interactions between e-shopping and store-shopping, most empirical studies regarded shopping as a transaction, but did not consider internet use in other stages of the shopping process, which has transportation implications. Few studies have conducted comparative analyses between different types of products. Using 952 internet users in two cities in Northern California, this study explores the interactions in the shopping process for two types of products: search Goods and Experience Goods. We find that for internet buyers, clothing is more likely than books to be associated with store visiting for both information search and product trial. Online pre-purchase behaviors were more likely to facilitate cross-channel shopping than those at a store. A comparison with an earlier study shows more similarities than differences between the two studies, suggesting a certain amount of spatio-temporal generalizability of relationships.

Feng Zhen - One of the best experts on this subject based on the ideXlab platform.

  • the association between spatial attributes and e shopping in the shopping process for search Goods and Experience Goods evidence from nanjing
    Journal of Transport Geography, 2018
    Co-Authors: Feng Zhen, Xiaojuan Du, Patricia L Mokhtarian
    Abstract:

    Abstract The proliferation of e-shopping has implications for shopping travel and commercial land use. Using data collected from adult internet users in Nanjing, China in 2015, this study develops trivariate probit models to explore the influence of spatial attributes on shopping channel choices at the pre-purchase and purchase stages in the shopping process for both search Goods (books) and Experience Goods (clothing). We find that those who live and work in suburban areas are more likely than others to shop at traditional stores to conduct pre-purchase and purchase activities for books and clothing, likely because of the slow diffusion of e-shopping in these areas. On the other hand, travel time to stores is positively associated with online shopping for books but not for clothing, and onerous travel modes are associated with pre-purchase activities on the internet. Thus, shopping accessibility negatively affects e-shopping. However, its effects vary by shopping stage and product type.

  • the interactions between e shopping and store shopping in the shopping process for search Goods and Experience Goods
    Transportation, 2017
    Co-Authors: Qing Zhai, Patricia L Mokhtarian, Feng Zhen
    Abstract:

    When exploring the interactions between e-shopping and store-shopping, most empirical studies regarded shopping as a transaction, but did not consider internet use in other stages of the shopping process, which has transportation implications. Few studies have conducted comparative analyses between different types of products. Using 952 internet users in two cities in Northern California, this study explores the interactions in the shopping process for two types of products: search Goods and Experience Goods. We find that for internet buyers, clothing is more likely than books to be associated with store visiting for both information search and product trial. Online pre-purchase behaviors were more likely to facilitate cross-channel shopping than those at a store. A comparison with an earlier study shows more similarities than differences between the two studies, suggesting a certain amount of spatio-temporal generalizability of relationships.

Sabyasachi Mitra - One of the best experts on this subject based on the ideXlab platform.

  • searching for Experience on the web an empirical examination of consumer behavior for search and Experience Goods
    Journal of Marketing, 2009
    Co-Authors: Peng Huang, Nicholas H Lurie, Sabyasachi Mitra
    Abstract:

    Abstract By lowering the costs of gathering and sharing information and offering new ways to learn about products before purchase, the Internet reduces traditional distinctions between search and Experience Goods. At the same time, differences in the type of information sought for search and Experience Goods can precipitate differences in the process through which consumers gather information and make decisions online. A preliminary experiment shows that though there are significant differences in consumers' perceived ability to evaluate product quality before purchase between search and Experience Goods in traditional retail environments, these differences are blurred in online environments. An analysis of the online behavior of a representative sample of U.S. consumers shows that consumers spend similar amounts of time online gathering information for both search and Experience Goods, but there are important differences in the browsing and purchase behavior of consumers for these two types of Goods. In ...

Larry Lockshin - One of the best experts on this subject based on the ideXlab platform.

  • reducing information asymmetry in the auctioning of non perishable Experience Goods the case of online wine auctions
    Journal of Retailing and Consumer Services, 2020
    Co-Authors: Ilke Onur, Johan Bruwer, Larry Lockshin
    Abstract:

    Abstract We highlight the importance of reducing the perceived risk associated with information asymmetry for Experience Goods. We analyse a major online non-perishable Experience good, wine, from the seller's perspective. The mechanism for lowering information asymmetry is the verification service offered by the auctioneer. By focusing on unsold items/lots, the wine and auction characteristics affecting the probability of a sale are identified. Results show that the verification of the wine's provenance increases the probability of sale by 5.7 percent and leads to an expected increase of 5.1 percent in the auction price. When both effects are combined, the increase in the expected revenue of the seller is 7.3 percent. We test and find no evidence of selection bias. Given the heterogeneity in wine prices, a quantile regression analysis shows how the results differ for high-priced wines compared to lower priced wines. Results highlight how the mechanisms to lower the degree of information asymmetry work both in attracting bidders to online auctions and encouraging bidders to submit higher bids.