Author
Listed:
- Marius Rob
- Astrid Kemperman
- Aloys Borgers
Abstract
The economic crises and growth of online shopping has led to increasing vacancy rates in Dutch shopping centers and a negative impact on shopping centers´ liveliness. However, nowadays, retailers have multiple channels to provide their consumers with a complete, so called omni channel, experience. The aim of the present study is to examine online product availability insight as an omni channel strategy for retailers to attract consumers to their offline shop.To measure and predict consumers’ preference for an online product availability insight a stated choice experiment was conducted. Hypothetical choice situations, including an online and offline channel, were created based on an experimental design. The online channel was described by the attributes delivery time, appointment, costs, and retour effort. For the offline channel travel time, friendliness of personnel, product availability insight, and personalized service were varied. For both channels product price was included. Moreover, product category (apparel (jeans) and electronics (hard disk)) and time constraints (with and without a time pressure) were used as context variables. The choice situations were presented within a web-based survey to 618 respondents during November 2015-January 2016 in the Netherlands.The data was analyzed by estimating Multinomial Logit (MNL) and Latent Class (LC) models. Results showed that the online product availability insight has significant influence on consumers’ channel choice decisions. Specifically, in case of a high involvement experience good (such as a jeans) consumers perceive this insight as useful. Furthermore the utilitarian related attributes, delivery time, costs, and travel time are important in channel choice decisions. However, friendly personnel in physical stores is an important factor when buying a jeans as well. In case of time pressure, consumers are willing to make more costs if it concerns a high involvement experience good. Furthermore, three segments were found for each product category, for jeans: offline shoppers, aversive shoppers, and multichannel shoppers, and for the hard disk they are: online shoppers, aversive shoppers, and offline shoppers.Based on the findings of this research, several managerial implications for retailers are given. A product availability insight would be an effective strategy for funneling consumers to the offline channel, especially when it concerns a high involvement experience good.
Suggested Citation
Marius Rob & Astrid Kemperman & Aloys Borgers, 2017.
"Product Availability Insight as an Omni Channel Strategy for Retailers,"
ERES
eres2017_27, European Real Estate Society (ERES).
Handle:
RePEc:arz:wpaper:eres2017_27
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arz:wpaper:eres2017_27. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.