Developing and validating a physical product e-tailing systems success model Yi-Shun Wang 1 • Shin-jeng Lin 2 • Ci-Rong Li 3 • Timmy H. Tseng 1 • Hsien-Ta Li 4 • Jia-Yang Lee 1 Ó Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract The study attempts to develop and validate a physical product e-tailing systems success model based on the existing information systems/e-commerce systems success models and consumer behavior literature. The proposed e-tailing success model describes the interrela- tionships among nine dimensions: Information Quality, System Quality, Service Quality, Product Quality, Per- ceived Price, Perceived Value, User Satisfaction, Intention to Reuse, and Electronic Word-of-Mouth. Data collected from 258 valid respondents are tested against the research model using the partial least squares approach. The results indicate that Information Quality, System Quality, Service Quality, Product Quality, and Perceived Price (i.e. e-tail- ers’ quality and price attributes) have a significant influence on both Perceived Value and User Satisfaction, and that Perceived Value significantly affects both Inten- tion to Reuse and eWOM (i.e. customers’ loyalty) directly or indirectly through the mediation of User Satisfaction. The results of this study provide several important theo- retical and practical implications for e-tailing systems success. Keywords Information systems success Á e-commerce success Á Physical product Á e-tailing Á Customer perceived value 1 Introduction The emergence of the Internet as an electronic marketplace has had a profound impact on the world economy and the way business is conducted. Purchasing commodities via cyber stores provides greater convenience and economy as compared to physical stores. The widespread use of elec- tronic shopping has gradually altered the commercial styles of our whole society. With the proliferation of e-com- merce, developing a better understanding of how to mea- sure e-commerce systems success has become an important issue for academics and practitioners. Previous studies have proposed several models to mea- sure information systems (IS) or e-commerce systems success, such as DeLone and McLean’s [12, 13] IS success model, Seddon’s [50] IS success model, and Wang’s [55] e-commerce systems success model. The DeLone and McLean [13] IS success model has been a popular choice as the theoretical foundation to assess the success of e-commerce systems [4, 14, 18, 35, 51, 55]. However, previous proposed e-commerce systems success models are generic models, and they may have to be re-specified to be & Yi-Shun Wang yswang@cc.ncue.edu.tw Shin-jeng Lin linsj@lemoyne.edu Ci-Rong Li cirongli@gmail.com Timmy H. Tseng littlebeeballball@hotmail.com Hsien-Ta Li htli@mail.ncku.edu.tw Jia-Yang Lee homesheep522@hotmail.com 1 Department of Information Management, National Changhua University of Education, Changhua, Taiwan 2 Department of Management, Leadership and Information Systems, Le Moyne College, Syracuse, NY, USA 3 School of Management, Jilin University, Changchun, China 4 Department of Business Administration, National Cheng Kung University, Tainan, Taiwan 123 Inf Technol Manag DOI 10.1007/s10799-017-0286-8