Shopping for Clothes: From Meeting Individual Needs to Socializing

In this paper, we analyze how shopping for clothes continues to be a social phenomenon, despite technological advances. Using a grounded theory approach, we coded 16 semi-structured interviews to develop process models of online and in-store shopping and to identify the constraints of each method. We then analyzed apparel shopping from the lens of Engeström’s model of Activity Theory to compare online and in-store shopping at a conceptual level. We offer design recommendations for building systems and processes that bridge the gap between online and offline shopping.

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Author and article information

Contributors

Pratitee Sinha

Arwa Alsubhi

Saroj Dash

Lijie Guo

Bart P. Knijnenburg

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 1-7

Affiliations

[0001]Clemson University School of Computing

215 McAdams Hall, Clemson SC 29634

Article

DOI: 10.14236/ewic/HCI2017.78

SO-VID: c27d9644-609c-41a3-9f93-6d482c88766b

Copyright statement: © Sinha et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2017 – Digital Make-Believe. Sunderland, UK.

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

Conference acronym: HCI

Conference number: 31

Conference location: Sunderland, UK

Conference date: 3 - 6 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: digital make-believe, with delegates considering our expansive

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Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.78

Self URI (journal page): https://ewic.bcs.org/

reference

S. BanerjeeA. Y. K. ChuaJ.-J. Kim 2015 Using Supervised Learning to Classify Authentic and Fake Online Reviews IMCOM 15
J. E. Bardram 1997 Plans as Situated Action: An Activity Theory Approach to Workflow Systems ECSCW 97 17 32
K. Charmaz 2014 Constructing Grounded Theory SAGE
Y. Engestrom 2000 Activity theory as a framework for analyzing and redesigning work Ergonomics 43 7 960 974
K. Fujimoto 2012 Investigation of Potency-magnitude Relations of eWOM Messages with a Focus on the Distinction between Attitude Direction and Strength IAT 12 69 73
S. GuoM. WangJ. Leskovec 2011 The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice EC 11 157 166
J. J. KacenJ. D. HessW.-Y. K. Chiang 2013 Bricks or Clicks? Consumer Attitudes toward Traditional Stores and Online Stores Global Economics and Management Review 18 1 12 21
T. P. MonsuwéB. G. C. DellaertK. Ruyter 2004 What drives consumers to shop online? A literature review Intl. Journal of Service Industry Management 15 1 102 121
M. MutaK. MukaiR. ToumotoM. OkuzonoJ. HoshinoH. HiranoS. Masuko 2014 Cyber Chamber: Multi-user Collaborative Assistance System for Online Shopping ITS 14 289 294
C. X. OuC. L. SiaP. Banerjee 2007 What is hampering online shopping in China J. of Information Technology Management 18 1 16 32

Comments

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[1] S. BanerjeeA. Y. K. ChuaJ.-J. Kim 2015 Using Supervised Learning to Classify Authentic and Fake Online Reviews IMCOM 15

[2] J. E. Bardram 1997 Plans as Situated Action: An Activity Theory Approach to Workflow Systems ECSCW 97 17 32

[3] K. Charmaz 2014 Constructing Grounded Theory SAGE

[4] Y. Engestrom 2000 Activity theory as a framework for analyzing and redesigning work Ergonomics 43 7 960 974

[5] K. Fujimoto 2012 Investigation of Potency-magnitude Relations of eWOM Messages with a Focus on the Distinction between Attitude Direction and Strength IAT 12 69 73

[6] S. GuoM. WangJ. Leskovec 2011 The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice EC 11 157 166

[7] J. J. KacenJ. D. HessW.-Y. K. Chiang 2013 Bricks or Clicks? Consumer Attitudes toward Traditional Stores and Online Stores Global Economics and Management Review 18 1 12 21

[8] T. P. MonsuwéB. G. C. DellaertK. Ruyter 2004 What drives consumers to shop online? A literature review Intl. Journal of Service Industry Management 15 1 102 121

[9] M. MutaK. MukaiR. ToumotoM. OkuzonoJ. HoshinoH. HiranoS. Masuko 2014 Cyber Chamber: Multi-user Collaborative Assistance System for Online Shopping ITS 14 289 294

[10] C. X. OuC. L. SiaP. Banerjee 2007 What is hampering online shopping in China J. of Information Technology Management 18 1 16 32