Acceptance of online customization for apparel shopping

Purpose – The purpose of this paper is to identify the determinants of successful customization of apparel in e‐retailing and to provide managerial suggestions for strategic planning.Design/methodology/approach – Using an online survey, data are collected from 300 female adults in the US secured through a nationwide random sampling method. AMOS 7.0 and SPSS 15.0 are used to analyze the data.Findings – Customers recognize the benefits of online customization of apparel when they perceive the website to be useful and competent. Additionally, customers perceive customization websites to be more useful when the websites are secure for the information customers provide. Interestingly, the ease of operation of a website is negatively related to the perception of a competent website and does not influence a positive attitude toward the online customization of apparel.Practical implications – In order to give the impression of competent and useful websites, marketers need to develop secure websites. Ease of opera...

[1]  J. Hair.  Multivariate data analysis , 1972 .

[2]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[3]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[4]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[5]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[6]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[7]  Andrew B. Whinston,et al.  Creating a collaboratory in cyberspace: Theoretical foundation and an implementation , 1995, J. Organ. Comput..

[8]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[9]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[10]  Robert J. Vokurka,et al.  The empirical assessment of construct validity , 1998 .

[11]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[12]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[13]  Paul Pavlou,et al.  Consumer Intentions to Adopt Electronic Commerce - Incorporating Trust and Risk in the Technology Acceptance Model , 2001 .

[14]  Rolph E. Anderson,et al.  Customer loyalty in e-commerce: an exploration of its antecedents and consequences , 2002 .

[15]  M. Moynagh,et al.  Tomorrow's consumer — the shifting balance of power , 2002 .

[16]  Pamela V. Ulrich,et al.  A consumer‐driven model for mass customization in the apparel market , 2002 .

[17]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[18]  Richard J. Cebula,et al.  Price, quality, and service on the Internet: Sense and nonsense , 2002 .

[19]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[20]  Ann Marie Fiore,et al.  Acceptance of Mass Customization of Apparel: Merchandising Issues Associated With Preference for Product, Process, and Place , 2002 .

[21]  Suzanne Loker,et al.  Mass Customization: On-line Consumer Involvement in Product Design , 2006, J. Comput. Mediat. Commun..

[22]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[23]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[24]  Beomsoo Kim,et al.  Adoption of broadband Internet in Korea: the role of experience in building attitudes , 2003, J. Inf. Technol..

[25]  Dhruv Grewal,et al.  The influence of internet-retailing factors on price expectations , 2003 .

[26]  Ellen Garbarino,et al.  Dynamic pricing in internet retail: Effects on consumer trust , 2003 .

[27]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[28]  Pamela V. Ulrich,et al.  Consumer co‐design of apparel for mass customization , 2003 .

[29]  Ann Marie Fiore,et al.  Psychographic Variables Affecting Willingness to Use Body-Scanning , 2003 .

[30]  Alan J. Dubinsky,et al.  A conceptual model of perceived customer value in e-commerce: A preliminary investigation , 2003 .

[31]  Suzanne Loker,et al.  Mass Customization of Wedding Gowns: Design Involvement on the Internet , 2004 .

[32]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

[33]  Clare-Marie Karat,et al.  User Attitudes Regarding a User-Adaptive eCommerce Web Site , 2003, User Modeling and User-Adapted Interaction.

[34]  Lei-da Chen,et al.  Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance , 2004 .

[35]  K. Ruyter,et al.  What drives consumers to shop online? A literature review , 2004 .

[36]  Marios Koufaris,et al.  The development of initial trust in an online company by new customers , 2004, Inf. Manag..

[37]  Susan P. Ashdown,et al.  Female Consumers’ Reactions to Body Scanning , 2004 .

[38]  Sandra Streukens,et al.  Comfort your online customer: quality, trust and loyalty on the internet , 2004 .

[39]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[40]  Ronald E. Goldsmith,et al.  Have it your way: consumer attitudes toward personalized marketing , 2004 .

[41]  Felix B. Tan,et al.  Online Consumer Trust: A Multi-Dimensional Model , 2004, J. Electron. Commer. Organ..

[42]  Ramnath K. Chellappa,et al.  Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma , 2005, Inf. Technol. Manag..

[43]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[44]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[45]  Greg W. Marshall,et al.  Sales force use of technology: antecedents to technology acceptance , 2005 .

[46]  Clyde W. Holsapple,et al.  The dynamics of trust in B2C e-commerce: a research model and agenda , 2005, Inf. Syst. E Bus. Manag..

[47]  Tamara Dinev,et al.  Internet Privacy Concerns and Social Awareness as Determinants of Intention to Transact , 2005, Int. J. Electron. Commer..

[48]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[49]  Benedict G. C. Dellaert,et al.  Marketing Mass-Customized Products: Striking a Balance between Utility and Complexity , 2005 .

[50]  A. Fiore,et al.  The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses , 2006 .

[51]  Pin Luarn,et al.  Predicting consumer intention to use mobile service , 2006, Inf. Syst. J..

[52]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[53]  Cheolho Yoon,et al.  Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN , 2007, Electron. Commer. Res. Appl..

[54]  S. Forsythe,et al.  Hedonic usage of product virtualization technologies in online apparel shopping , 2007 .

[55]  Paul Jen-Hwa Hu,et al.  Examining customers' trust in online vendors and their dropout decisions: An empirical study , 2007, Electron. Commer. Res. Appl..