Perceived Risk of Online Apparel Mass Customization

Given the growing interest in online apparel mass customization (OAMC), retailers must understand how consumers perceive the risk of OAMC, which is distinct from general online shopping for apparel. However, no study has provided an empirical analysis of various dimensions of this risk. The present study proposes a multi-item scale developed through item generation, purification, and validation for measuring consumers' perceived risk of OAMC and identifies eight dimensions of this perceived risk. The results have important theoretical and practical implications. Practitioners would be able to enhance their communication ability with their consumers and improve their online mass customization services by reducing certain risk dimensions.

[1]  Donald F. Cox,et al.  Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping , 1964 .

[2]  Hyun-Hwa Lee,et al.  Consumer Attitudes Toward Online Mass Customization: An Application of Extended Technology Acceptance Model , 2011, J. Comput. Mediat. Commun..

[3]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[4]  R. MacCallum,et al.  THE APPLICATION OF EXPLORATORY FACTOR ANALYSIS IN APPLIED PSYCHOLOGY: A CRITICAL REVIEW AND ANALYSIS , 1986 .

[5]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[6]  Kelly Tepper Tian,et al.  Consumers' Need for Uniqueness: Scale Development and Validation , 2001 .

[7]  Kathrin M. Möslein,et al.  Overcoming Mass Confusion: Collaborative Customer Co-Design in Online Communities , 2005, J. Comput. Mediat. Commun..

[8]  Nena Lim,et al.  Consumers' perceived risk: sources versus consequences , 2003, Electron. Commer. Res. Appl..

[9]  J. P. Peter,et al.  A Comparative Analysis of Three Consumer Decision Strategies , 1975 .

[10]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[11]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[12]  C. Derbaix.  Perceived risk and risk relievers: An empirical investigation☆ , 1983 .

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

[14]  J. Jacoby,et al.  The Components of Perceived Risk , 1972 .

[15]  David W. Gerbing,et al.  An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment , 1988 .

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

[17]  Andreas Ritter,et al.  Structural Equations With Latent Variables , 2016 .

[18]  A. Bardakci,et al.  How “ready” are customers for mass customisation? An exploratory investigation , 2004 .

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

[20]  Mary Lynn Damhorst,et al.  Consumer satisfaction with a mass customized Internet apparel shopping site , 2011 .

[21]  Grace I. Kunz,et al.  Individual differences, motivations, and willingness to use a mass customization option for fashion products , 2004 .

[22]  G. Zinkhan,et al.  An integrated framework for the conceptualization of consumers’ perceived-risk processing , 2004 .

[23]  Minjeong Kang,et al.  Retail Therapy: Scale Development , 2011 .

[24]  Susan S. Fiorito,et al.  Acceptance of online customization for apparel shopping , 2009 .

[25]  Arjun Chaudhuri,et al.  A Macro Analysis of the Relationship of Product Involvement and Information Search: The Role of Risk , 2000 .

[26]  Guilherme D. Pires,et al.  Influences on the perceived risk of purchasing online , 2004 .

[27]  R. S. Hancock.  Dynamic marketing for a changing world : proceedings of the 43rd National Conference of the American Marketing Assocation, June 15, 16, 17, 1960 , 1960 .

[28]  Mary Ann Eastlick,et al.  Shopping Motives for Mail Catalog Shopping , 1999 .

[29]  William J. Havlena,et al.  On the Measurement of Perceived Consumer Risk , 1991 .

[30]  Ruth M.W. Yeung,et al.  An empirical study of the impact of consumer perceived risk on purchase likelihood: a modelling approach , 2006 .

[31]  Fiona Steele,et al.  The Analysis and Interpretation of Multivariate Data for Social Scientists , 2002 .

[32]  David M. Shannon,et al.  Development of a scale to measure the perceived benefits and risks of online shopping , 2006 .

[33]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[34]  R. Bagozzi.  Attitudes, intentions, and behavior: A test of some key hypotheses. , 1981 .

[35]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[36]  Blake Ives,et al.  Custom Made Apparel and Individualized Service at Lands' End , 2003, Commun. Assoc. Inf. Syst..

[37]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[38]  D. V. Poel,et al.  Consumer Acceptance of the Internet as a Channel of Distribution , 1999 .

[39]  V. Mitchell.  Consumer perceived risk: conceptualisations and models , 1999 .

[40]  Jacinta M. Gau,et al.  The Convergent and Discriminant Validity of Procedural Justice and Police Legitimacy: An Empirical Test of Core Theoretical Propositions , 2011 .

[41]  Jayoung Choi,et al.  Risk perception and e‐shopping: a cross‐cultural study , 2003 .

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

[43]  B. Byrne.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[44]  K. Reynolds,et al.  Hedonic shopping motivations , 2003 .

[45]  R. Sitgreaves.  Psychometric theory (2nd ed.). , 1979 .

[46]  John Godek.  Customization decisions: The effects of perceived control and decomposition on *evaluations. , 2003 .

[47]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[48]  S. Tan,et al.  E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice , 2003 .

[49]  S. Forsythe,et al.  Consumer patronage and risk perceptions in Internet shopping , 2003 .

[50]  D. F. Blankertz,et al.  Risk taking and information handling in consumer behavior , 1969 .

[51]  I. P. Akaah.  A conjoint investigation of the relative importance of risk relievers in direct marketing , 1988 .

[52]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..