SEM Modification, Comparison and Evaluation: An Exploratory Approach

A sample of young female fashion students is used to explore how pure-play retailers can maximise their marketing communications. Prior to this paper, EFA, CFA and SEM hypothesis testing have been undertaken. The focus for this paper begins from the results of hypothesis testing and explores SEM model development to identify meaningful direct relationships between six latent constructs which were not originally hypothesized.

[1]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[2]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers?: A Large-Scale Exploratory Empirical Study , 2005 .

[3]  J. J. Cronin,et al.  Removing the contextual lens: A multinational, multi-setting comparison of service evaluation models , 2005 .

[4]  Jihyun Kim,et al.  A consumer shopping channel extension model: attitude shift toward the online store , 2005 .

[5]  Henry H. Emurian,et al.  An overview of online trust: Concepts, elements, and implications , 2005, Comput. Hum. Behav..

[6]  P. Franses,et al.  The effect of relational constructs on customer referrals and number of services purchased from a multiservice provider: Does age of relationship matter? , 2002 .

[7]  C. Collins-Dodd,et al.  Store brands and retail differentiation: the influence of store image and store brand attitude on store own brand perceptions , 2003 .

[8]  Richard G. Lomax,et al.  A Beginner's Guide to Structural Equation Modeling , 2022 .

[9]  Ronald E. Goldsmith,et al.  Bricks, clicks, and pix: apparel buyers' use of stores, internet, and catalogs compared , 2005 .

[10]  A. Broderick,et al.  Conceptualising consumer behaviour in online shopping environments , 2007 .

[11]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[12]  James G. Maxham,et al.  Firms Reap what they Sow: The Effects of Shared Values and Perceived Organizational Justice on Customers’ Evaluations of Complaint Handling , 2003 .

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

[14]  J. Kandampully,et al.  Buying environment characteristics in the context of e‐service , 2009 .

[15]  J. Aaker,et al.  When Good Brands Do Bad , 2004 .

[16]  L. Harris,et al.  The four levels of loyalty and the pivotal role of trust: a study of online service dynamics , 2004 .

[17]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

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

[19]  M. Gilly,et al.  eTailQ: dimensionalizing, measuring and predicting etail quality , 2003 .

[20]  Ann E. Schlosser.  Experiencing Products in the Virtual World: The Role of Goal and Imagery in Influencing Attitudes versus Purchase Intentions , 2003 .

[21]  S. Forsythe,et al.  Adoption of sensory enabling technology for online apparel shopping , 2009 .

[22]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[23]  Jane E. Workman,et al.  Centrality of Visual Product Aesthetics, Tactile and Uniqueness Needs of Fashion Consumers , 2007 .