The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Impact of store environment on impulse buying behavior
Open accessAbstract
Purpose: – This paper aims to explore the process by which four store environment (music, light, employee, and layout) and two individual characteristics (shopping enjoyment tendency (SET) and impulse buying tendency (IBT)) influence impulse buying behavior through positive and negative affect, and urge to buy impulsively. Design/methodology/approach: – The data were obtained using a structured questionnaire from 733 respondents in a mall survey conducted in Chennai, South India. Findings: – In the structural model tested with AMOS, the authors found that store environment drove impulse buying (IB) through positive affect and urge. Results also showed that the personality variables (SET and IBT) influenced IB through positive affect and urge. This paper did not find support for the relationship between negative affect and urge. Research limitations/implications: – Theoretically, the authors add to the list of antecedents of impulse buying, and to the outcomes of store environment. From a managerial viewpoint, the authors suggest that retail managers invest in improving the store environment to increase the level of impulse buying in their stores. Specifically, they need to focus on enhancing friendliness of store employees, playing appropriate music, designing proper layouts and having well-lit stores to encourage impulse buying. Originality/value: – Prior research studied the elements of the store independently and also its long-term impact. To the best of the authors' knowledge, their research is the first to study the impact of store environment (in conjunction with trait variables) on impulse buying.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
Oliver, R. L., & Swan, J. E. (1989) · Journal of Marketing · doi:10.1177/002224298905300202 · Cited by 2,084
Iacobucci, D., Saldanha, N., & Deng, X. (2007) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(07)70020-7 · Cited by 1,362
The significance of impulse buying today.
Stern, H. (1962) · Journal of Marketing · doi:10.1177/002224296202600212 · Cited by 1,049
Irritating aspects of the shopping environment.
d'Astous, A. (2000) · Journal of Business Research · doi:10.1016/s0148-2963(99)00002-8 · Cited by 267
Cited by
Liu, P., He, J., & Li, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.003 · Cited by 167
Impulse buying in hospitality: The role of content posted by social media influencers
Szymkowiak, A., Gaczek, P., & Padma, P. (2021) · Journal of Vacation Marketing · doi:10.1177/13567667211003216 · Cited by 52
Online shopping: How can algorithm performance expectancy enhance impulse buying?
Gallin, S., & Portes, A. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103988 · Cited by 41
Metadata
- Authors
- Mohan, G., Sivakumaran, B., & Sharma, P.
- Venue
- European Journal of Marketing
- Publisher
- Emerald
- Published
- 2013-09-20
- Volume
- 47
- Issue
- 10
- Pages
- 1711-1732
- ISSN
- 0309-0566 (ISSN-L)
- OpenAlex
- W2141682041
- Cited by
- 423
- References
- 11
- FWCI
- 53.68
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.