Impulse buying behavior among female shoppers: Exploring the effects of selected store environment elements
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Author(s)Vinish P.Link to ORCID Index: https://orcid.org/0000-0002-5009-3343
,
Prakash PintoLink to ORCID Index: https://orcid.org/0000-0001-8168-9679
,
Iqbal Thonse HawaldarLink to ORCID Index: https://orcid.org/0000-0001-7181-2493
,
Slima PintoLink to ORCID Index: https://orcid.org/0000-0002-4890-4100
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DOIhttp://dx.doi.org/10.21511/im.16(2).2020.05
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Article InfoVolume 16 2020, Issue #2, pp. 54-70
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1767 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This paper intends to analyze the impact of store layout, ambient factors, and employees on impulsive decision-making among female customers visiting the apparel outlets. The responses were collected through a single-stage mall intercept survey method using a structured questionnaire from 385 respondents in leading apparel stores in selected Tier I and Tier II cities in the state of Karnataka, India. The responses were analyzed using multiple regression analysis. Constructs such as store layout, ambience and employees were found to be significantly positively correlated with impulse buying behavior. The variables largely explain the variation in impulse buying under store ambiance. Except ‘attention to the window display’ and ‘friendly staff’ all other twelve variables considered in the study were found to have significant impact on the impulse buying behavior. Though store ambiance, well-structured layout, and pleasant shopping experience are essential determinants of customer satisfaction, the study results imply that the number of store staff and sales skills are critical aspects of impulse buying in the apparel business and true assets to the retail organization. Additionally, poor customer interaction, staff shortage, and high employee attrition could discourage the store’s revenue generation.
- Keywords
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JEL Classification (Paper profile tab)L67, L81, M31
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References96
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Tables20
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Figures0
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- Table 1. Correlation between the variables of store layout
- Table 2. Discriminant validity of store layout
- Table 3. Correlation between the variables of store ambiance
- Table 4. Discriminant validity of store ambiance
- Table 5. Correlation between the variables of employee interactions
- Table 6. Discriminant validity for employee interaction
- Table 7. Demographic profile
- Table 8. Reliability statistics
- Table 9. Regression analysis of the impact of store layout on impulse buying behavior
- Table 10. Summary of adjusted R-squared
- Table 11. Regression analysis of the impact of store layout on impulse buying behavior
- Table 12. Summary of adjusted R-squared
- Table 13. Regression analysis of the impact of store ambiance on impulse buying behavior
- Table 14. Summary of adjusted R-squared
- Table 15. Regression analysis of the impact of store ambiance on impulse buying behavior
- Table 16. Summary of adjusted R-squared
- Table 17. Regression analysis of the impact of store employees’ interaction on customers’ impulse buying behavior
- Table 18. Summary of adjusted R-squared
- Table 19. Regression analysis of the impact of store employees’ interaction on customers’ impulse buying behavior
- Table 20. Summary of adjusted R-squared
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Rahul Kumar ,
Prince Bhatia ,
Deeksha Gupta
doi: http://dx.doi.org/10.21511/imfi.18(3).2021.28
Investment Management and Financial Innovations Volume 18, 2021 Issue #3 pp. 334-346 Views: 7363 Downloads: 3487 TO CITE АНОТАЦІЯThis paper aims to examine the impact of the COVID-19 outbreak on Indian firms listed on the NSE and analyze its impact on various sectors. In addition, a sub-sample analysis based on market capitalization was performed to understand the effect of size during extreme events. The sample consisted of 1,335 firms listed on the NSE India. A standard event study outlined by Brown and Warner (1985) was employed to analyze the price impact on the COVID-19 outbreak. The event windows from -10 days to +10 days were selected. The estimation window is 250 days. The Nifty 50 has been chosen as a proxy for market return. The sample firms witnessed a negative impact of the COVID-19 outbreak with a negative CAAR in different event windows. In addition, various sectors are classified according their responsiveness towards the COVID-19 outbreak into three groups: highly negatively affected, moderately negatively affected, and slightly negatively affected. The paper also points out that the pandemic substantially affects the above-median market capitalized firms than the below-median market capitalized firms, which contradicts the size effect phenomenon. The results assist shareholders in managing their portfolios and mitigate the systematic risk of their investments during extreme events such as a pandemic, wars, and others. This study is the first comprehensive analysis of the impact of the COVID-19 outbreak on different sectors in India. It is also the first study to investigate the size effect anomalies during extreme events.
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Mustainah M ,
Pricylia Chintya Dewi Buntuang
doi: http://dx.doi.org/10.21511/ppm.19(1).2021.37
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Amgad S.D. Khaled ,
Nabil Mohamed Alabsy ,
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doi: http://dx.doi.org/10.21511/im.16(4).2020.11
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