Author
Listed:
- Jaesuk Jung
(College of Human Ecology, Yonsei University)
- Eunju Ko
(College of Human Ecology, Yonsei University)
- Arch G. Woodside
(Yonsei University, Yonsei Frontier Lab)
Abstract
This study assesses customers’ assessments of place sustainabilityPlace sustainability and place attractiveness of a large-scale traditional local market (TLM). The study proposes a general theory of antecedentsAntecedents and outcomes for customer assessments of place sustainability and place attractiveness for one category of TLM: a collection of many independent shops (e.g., 1000 to 10,000+ shops) available contiguously in one geographic area (i.e., a long-period market)—spanning generations of shop-keeping family stores, large in scale and scope, and selling a wide range of products of very substantial varieties, with many shops marketing to ultimate consumers, retailers, or a mix of retailers and consumers. Rather than using the currently dominant theory and research logic of proposing and testing symmetrical directional hypothesis (i.e., increasing X associates with increases in Y) and the reporting of net effects of independent variables, the study reports generalizable asymmetric case-based models of TLM sustainabilitySustainability and attractiveness. Case-based modeling proposes that certain screening rules of antecedent conditions enable identifying cases having certain outcomes consistently (e.g., frequent visits and high expenditure outcomes). The study includes findings from a survey of customers (n = 162) of their assessments of place sustainability and place attractiveness of SeomunSeomun (“West Gate”) Market, a large TLM in Daegu CityDaegu City, Republic of Korea. The findings support the general conclusions that TLM place sustainabilityPlace sustainability and place attractiveness models associate with shoppers having high rates of visiting and expenditures consistently as well as additional models indicating that certain place sustainability and attractiveness models associate with cases having infrequent visits and low expenditures.
Suggested Citation
Jaesuk Jung & Eunju Ko & Arch G. Woodside, 2019.
"Customers’ Assessments of Retail Traditional Local Markets: Strategy Outcome Performance Screening,"
Springer Books, in: Arch G. Woodside (ed.), Accurate Case Outcome Modeling, chapter 0, pages 115-183,
Springer.
Handle:
RePEc:spr:sprchp:978-3-030-26818-3_5
DOI: 10.1007/978-3-030-26818-3_5
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
for a similarly titled item that would be
available.
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:spr:sprchp:978-3-030-26818-3_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.