Development and validation of a scale for measuring E-retail brand experience

被引：0
作者：
Shirazian M. [1 ]
Khan I. [2 ]
Sadeghvaziri F. [1 ]
Ebrahimi E. [3 ]
机构：
[1] Department of Business Administration, Faculty of Management, Kharazmi University, Tehran
[2] Department of Marketing, Institute of Management Technology Ghaziabad, Ghaziabad
[3] Management Department of Institute for Humanities and Cultural Studies (IHCS), Tehran
来源：
Quality & Quantity | 2024年 / 58卷 / 5期
关键词：
E-retail brand experience; E-retailing; Measurement; Scale development; Thematic analysis;
D O I：
10.1007/s11135-023-01809-2
中图分类号：
学科分类号：
摘要：
Creating a compelling customer experience for online retail brands (i.e., e-retail brands) is vital for the success of online retailing. The extant research also emphasizes the need to study customer experience concepts for e-retail-brands. Customer experience with e-retail brands comprises a customer’s subjective, multi-dimensional psychological response to the e-retail brand-related stimuli. However, the availability of a valid and reliable scale to evaluate ‘customer experience with an e-retail brand’ (i.e., e-retail brand experience) is limited in the literature. Hence, this study aims to conceptualize, develop, and validate a scale to measure the E-retail brand experience using a mixed-method approach through three stages. In Stage 1, potential scale items are generated and selected through semi-structured interviews, expert surveys, and literature review. In Stage 2, scale items are reduced, and the scale’s dimensionality is assessed. In Stage 3, items and their dimensionality are validated through different phases of factor analysis. The study developed a 26-item nine-dimensional E-retail brand experience scale. The scale exhibits sound psychometric properties based on reliability and validity tests. This scale can assist online retail practitioners in measuring and contextualizing customer experiences with their E-retail brands. It also contributes to the literature to a great extent as it makes the online brand experience much more tangible and assessable for scholars in the field. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
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页码：4157 / 4180
页数：23
相关论文
共 52 条
[1]  
Asyraf W.M., Afthanorhan B.W., A comparison of partial least square structural equation modeling (PLS-SEM) and covariance-based structural equation modeling (CB-SEM) for confirmatory factor analysis, Int. J. Eng. Sci. Innovative Technol. (IJESIT), 2, 5, pp. 198-205, (2013)
[2]  
Awang Z., Modeling Job Satisfaction And Work Commitment Among Lecturers: A Case Modelling Job Satisfaction And Work Commitment Among Lecturers: A Case Of UiTM Kelantan., 1, pp. 45-59, (2015)
[3]  
Brakus J.J., Schmitt B.H., Zhang S., Experiential attributes and consumer judgments, Handb. Brand Experience Manage, pp. 174-187, (2008)
[4]  
Brakus J.J., Schmitt B.H., Zarantonello L., Brand Experience: What is it? How is it measured? Does it affect loyalty?, J. Mark., 73, 3, (2009)
[5]  
Braun V., Clarke V., Thematic analysis, APA Handbook of Research Methods in Psychology, Vol 2: Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological, pp. 57-71, (2012)
[6]  
Chan A.P.H., Tung V.W.S., Examining the effects of robotic service on brand experience: The moderating role of hotel segment, J. Travel Tourism Mark, 36, 4, pp. 458-468, (2019)
[7]  
Churchill G.A., A paradigm for developing Better Measures of Marketing Constructs, J. Mark. Res, 16, 1, (1979)
[8]  
Dang V.T., Nguyen N., Wang J., Consumers’ perceptions and responses towards online retailers’ CSR, Int. J. Retail Distribution Manage, 48, 12, pp. 1277-1299, (2020)
[9]  
Duarte P., Amaro S., Methods for modeling reflective-formative second-order constructs in PLS: An application to online travel shopping, J. Hospitality Tourism Technol, 9, 3, pp. 295-313, (2018)
[10]  
Fornell C., Larcker D.F., Fornell C., Larcker D.F., .: “Evaluating structural equation models with unobservable variables and.pdf, Journal of Marketing Research, pp. 39-50, (1981)
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