A COMPARATIVE ANALYSIS OF IMPULSE BUYINGBEHAVIOURINONLINE VS. OFFLINE RETAIL

Aim: The main purpose of this study is to conduct a comparative analysis of impulse buyingbehaviour in online and offline retail environments, identifying the key drivers and differencesinconsumer behaviour... Material And: Where I have referred many research articles previouslysubmitted related to my topic and I have used a self-prepared Questionnaire with the helpof theGoogle Forms and collected the response from the customer about their opinion intheirsatisfaction level regarding banking services. I have used MS Excel and SPSS IBMVersion27for analyzing the data with the help of the Independent T Test, One-way Anova and Chi square. Where the analysis and table charts have been shown below in figures. Results and Discussion: With the help of the Response collected from the customer we evaluated the satisfactionlevel ofthe customer with the help of MS Excel and SPSS tools where this analysis helped to identifythesignificant value in relationship between Maintenance of server and online and physical impulsebuying behaviour with gender; p value is 0.002, Where these values have been analyzedwiththehelp of the Independent T Test in the SPSS tools IBM Version 27. Chi square Test usedtoanalyze how often you make an impulse purchase when shopping online the significant p=0.020. And . Conclusion: Impulse buying behaviour differs notably between online and offline retail. Online purchases are driven by convenience, promotional triggers, and a wide product selection, appealing especially to younger consumers. In contrast, offline impulse buying is influencedbysensory experiences, immediate gratification, and social interactions, with variations observedin product categories based on gender

Authors

Publication Details

Journal
ASET Journal of Management Science
Published
2025-05-09
DOI
https://doi.org/10.47059/ajms/v4i2/39
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A COMPARATIVE ANALYSIS OF IMPULSE BUYINGBEHAVIOURINONLINE VS. OFFLINE RETAIL

L. Jayanthi, M. Srisha, Kaviya Kaviya
ASET Journal of Management Science
Consumer Retail Behavior Studies
article

A COMPARATIVE ANALYSIS OF IMPULSE BUYINGBEHAVIOURINONLINE VS. OFFLINE RETAIL

L. Jayanthi, M. Srisha, Kaviya Kaviya
article en

Abstract

Aim: The main purpose of this study is to conduct a comparative analysis of impulse buyingbehaviour in online and offline retail environments, identifying the key drivers and differencesinconsumer behaviour... Material And: Where I have referred many research articles previouslysubmitted related to my topic and I have used a self-prepared Questionnaire with the helpof theGoogle Forms and collected the response from the customer about their opinion intheirsatisfaction level regarding banking services. I have used MS Excel and SPSS IBMVersion27for analyzing the data with the help of the Independent T Test, One-way Anova and Chi square. Where the analysis and table charts have been shown below in figures. Results and Discussion: With the help of the Response collected from the customer we evaluated the satisfactionlevel ofthe customer with the help of MS Excel and SPSS tools where this analysis helped to identifythesignificant value in relationship between Maintenance of server and online and physical impulsebuying behaviour with gender; p value is 0.002, Where these values have been analyzedwiththehelp of the Independent T Test in the SPSS tools IBM Version 27. Chi square Test usedtoanalyze how often you make an impulse purchase when shopping online the significant p=0.020. And . Conclusion: Impulse buying behaviour differs notably between online and offline retail. Online purchases are driven by convenience, promotional triggers, and a wide product selection, appealing especially to younger consumers. In contrast, offline impulse buying is influencedbysensory experiences, immediate gratification, and social interactions, with variations observedin product categories based on gender

ASET Journal of Management ScienceVol. 4(2)
Openalex Percentile: Top 88%
Consumer Retail Behavior Studies
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