Impulsively intended buying behavior: A new horizon of shopping behavior in the online era
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.spl-2.01Keywords:
Functionality components, Impulse buying behaviour, Online shopping experience, Psychological components, Social commerce, Visual engagementDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The development of electronic commerce and availability of social media platforms has turbocharged the impulse buying behavior among the consumers. The online retail world is pioneering strategies to enhance the consumer shopping experience during online shopping and paving the way for impulse buying behavior. This research aims to explore the factors affecting the customer shopping experience and impulse buying behavior in fashion apparel. Based on previous literature, there are two different components: functional components and psychological components that enhance the consumer’s online shopping experience, inducing shoppers to buy products impulsively. A survey was conducted with a structured questionnaire among 403 online shoppers selected through purposive sampling. Structural equation modeling (SEM) was employed to test the proposed model, and the results indicate that both functional and psychological components are found to significantly influence the impulse buying behavior of consumers. The implications for marketers are provided based on the study’s results.Abstract
How to Cite
Downloads
Similar Articles
- Suresh L. Chitragar, Measurement of agricultural productivity and levels of development in the Malaprabha river basin, Karnataka, India , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Deepesh Bhardwaj, Niyati Chaudhary, Blueprints of Green: Determining Key Determinants of Sustainable Real Estate Projects in Delhi NCR , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Ramya Singh, Archana Sharma, Nimit Gupta, Nursing on the edge: An empirical exploration of gig workers in healthcare and the unseen impacts on the nursing profession , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sharanya Unnikrishnan, Eldhose Thomas, Arunima Dey, AI-Powered NLP in Vernacular Public Relations: Opportunities, Challenges, and Ethical Implications for India’s Multilingual Landscape , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Lakshmi Priya, Anil Vasoya, C. Boopathi, Muthukumar Marappan, Evaluating dynamics, security, and performance metrics for smart manufacturing , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Alka Ranjan, Evaluating mental well-being and environmental sustainability in Indian stories , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Sujay Bhalchandra, Nilesh D. Shinde, An exploratory study of factors influencing manufacturer-dealer relationship in Indian automobile industry , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Mineshi Mishra, Purnima Awasthi, Psychosocial factors affecting risk of post-partum depression among mothers and their Birth satisfaction: A systematic review , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Rajarajeswari M, Reena Ravi, Effectiveness of multicomponent intervention on smartphone addiction and leisure wellbeing among adolescents of selected PU college in Bangalore , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- T. Kanimozhi, V. Rajeswari, R. Suguna, J. Nirmaladevi, P. Prema, B. Janani, R. Gomathi, RWHO: A hybrid of CNN architecture and optimization algorithm to predict basal cell carcinoma skin cancer in dermoscopic images , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper

