Retail Technology Acceptance Model for online at offline (O@O): Comparing different generations of data analysis techniques

Sookhyun Kim

doi:10.1080/17543266.2022.2078892

Retail Technology Acceptance Model for online at offline (O@O): Comparing different generations of data analysis techniques

Sookhyun Kim

Department of Management & Marketing

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	394-406
Number of pages	13
Journal	International Journal of Fashion Design, Technology and Education
Volume	15
Issue number	3
DOIs	https://doi.org/10.1080/17543266.2022.2078892
State	Published - 2022

ASJC Scopus Subject Areas

Education
Visual Arts and Performing Arts
Industrial and Manufacturing Engineering

Keywords

Offline shopping
online shopping
Partial Least Squares Structural Equation Modeling
retail technology
Technology Acceptance Model

Access to Document

10.1080/17543266.2022.2078892

Cite this

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title = "Retail Technology Acceptance Model for online at offline (O@O): Comparing different generations of data analysis techniques",

keywords = "Offline shopping, online shopping, Partial Least Squares Structural Equation Modeling, retail technology, Technology Acceptance Model",

author = "Sookhyun Kim",

note = "Publisher Copyright: {\textcopyright} The Textile Institute and Informa UK Ltd 2022.",

year = "2022",

doi = "10.1080/17543266.2022.2078892",

language = "English",

volume = "15",

pages = "394--406",

journal = "International Journal of Fashion Design, Technology and Education",

issn = "1754-3266",

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T1 - Retail Technology Acceptance Model for online at offline (O@O)

T2 - Comparing different generations of data analysis techniques

AU - Kim, Sookhyun

N1 - Publisher Copyright: © The Textile Institute and Informa UK Ltd 2022.

PY - 2022

Y1 - 2022

KW - Offline shopping

KW - online shopping

KW - Partial Least Squares Structural Equation Modeling

KW - retail technology

KW - Technology Acceptance Model

UR - https://www.scopus.com/pages/publications/85131170219

UR - https://www.scopus.com/pages/publications/85131170219#tab=citedBy

U2 - 10.1080/17543266.2022.2078892

DO - 10.1080/17543266.2022.2078892

M3 - Article

AN - SCOPUS:85131170219

SN - 1754-3266

VL - 15

SP - 394

EP - 406

JO - International Journal of Fashion Design, Technology and Education

JF - International Journal of Fashion Design, Technology and Education

IS - 3

ER -

Retail Technology Acceptance Model for online at offline (O@O): Comparing different generations of data analysis techniques

ASJC Scopus Subject Areas

Keywords

Access to Document

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