Yazarlar (2) |
![]() Türkiye |
![]() Kafkas Üniversitesi, Türkiye |
Özet |
Abstract The purpose of the study is to cluster online shopping customers on their loyalty levels and profile them with regards to their hedonic shopping motivations. To this end, a self-administered online survey was conducted, and 226 usable answers were obtained. First, cluster analysis was performed to segment online shoppers on their loyalty values. Later, the final three-cluster solution was profiled according to hedonic value motivations using Generalized Ordered Logit (GOLOGIT) Regression. The two-step cluster analysis revealed three clusters of online shoppers (non-loyals, moderate loyals, and true loyals). The GOLOGIT results indicated that an increase in idea shopping, role shopping, and value shopping of consumers in their online shopping experience would increase their loyalty levels (from non-loyal to moderately loyal, and from moderately loyal to true loyal). With regards to social shopping value, an increase in this dimension would be significantly affective only for non-loyal consumers, increasing their odds of being in the second (moderately loyal) or third (true loyal) cluster. This finding would help in the differentiation of marketing strategies for each segment, which would advance business competitiveness. Considering the increasing importance of online shopping among consumers, findings of this study is expected to contribute to the literature. |
Anahtar Kelimeler |
Online Shopping | Hedonic Shopping | Shopping Motivations | Shopper Segments |
Makale Türü | Özgün Makale |
Makale Alt Türü | ESCI dergilerinde yayınlanan tam makale |
Dergi Adı | Segmenting and Profiling Online Shopping Consumers: How Do They Differ in Hedonic Shopping Motivations? |
Dergi ISSN | 1925 – 4423 |
Dergi Tarandığı Indeksler | Emerging Sources Citation Index (ESCI), ISI Indexes, Business Source Complete Database (EBSCO Publishig), Google Academic Database (Google Scholar), OCLC (WorldCat), A journal indexing ranking and abstracting service of IC Journals (Index Copernicus), Genamics Journal Seek categorized databes (JournalSeek), Subject Portal for Economics and Business Studies (ECONBIZ), Proquest Ulrich’s Periodicals Directory (Ulrichsweb Serialssolutions) Citefactor Academic Scientific Journals (Citefactor) Directory of Research Journals Indexing (DRJI) Bielefeld Academic Search Engine (BASE) Academic Resource Index (ResearchBib) Open Access Journals Search Engine (OAJSE) Public Knowledge Project (PKP | Index) Academic Journal Database. |
Makale Dili | İngilizce |
Basım Tarihi | 06-2022 |
Cilt No | 12 |
Sayı | 1 |
Sayfalar | 225 / 242 |
Doi Numarası | 10.5281/zenodo.6850788 |
Makale Linki | http://www.ijceas.com/index.php/ijceas/article/view/522/340 |