Impulsive Buying Behavior on Online Shopping
DOI:
https://doi.org/10.61841/q8b0ys59Keywords:
Online Shopping, Impulsive Buying, Alternative StrategiesAbstract
Today, the consumer is becoming more prone to impulse buying behavior. It has been recently described as a persuasive, greedily complicated buying behavior in which careful examination of information and alternatives is left out due to the quickness of the decision-making process. To consume can arouse emotional responses and is bound to happen without consideration of the consequences of impulse buying, and it has been identified that it occurs when individuals do not plan, anticipate, or hesitate when making purchasing decisions; that is, when consumers make unintentional, unthoughtful, and prompt purchases. The impulse buying behavior is unintentional, since the consumers are not specifically searching for some products and made no plans to purchase the item. Whenever a decision is to be made, impulsive buying becomes necessary in the corporate world. The degree of dependence on impulsiveness is based on the cost of decisions. If the cost of the decision is high, the dependence on buying is low, and vice versa. The study of the topic is useful to identify and find solutions to the problem and to help make decisions and to find alternative strategies.
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References
[1] Dr. Prafullaarjunpawar, dipalishastri, umeshramchandraraut international journal of applied research
2016:-in-store sampling and impulsive buying behavior: an empirical approach
[2] By limpei ling & dr. Rashad yazdanifard global journal of management and business research: emarketing volume 15 issue 5 version 1.0 year 2015:- what internal and external factors influence impulsive
buying behavior in online shopping?
[3] Umair akram1 peng hui1, muhammadkaleem khan1, muhammad hashim2 and shahid rasheed1
international journal of u- and e- service, science and technology vol.9, no. 7 (2016);- impact of store
atmosphere on impulse buying behavior: moderating effect of demographic variables;
[4] Nasreen khan1, lai hui hui1, tan booi chen1 &hongyong hoe1, international journal of business and
management; vol. 11, no. 1; 2016;- impulse buying behaviour of generation y in fashion retail;
[5] Geetha. M, bharadhwaj.s, asian journal of business research issn volume 6 issue 12016;- impulsive
buying behavior in india –an overview
[6] By limpei ling & dr. Rashad yazdanifard global journal of management and business research: emarketing volume 15 issue 5 version 1.0 year 2015:- what internal and external factors influence impulsive
buying behavior in online shopping.
[7] Rajendran T et al. “Recent Innovations in Soft Computing Applications”, Current Signal Transduction
Therapy. Vol. 14, No. 2, pp. 129 – 130, 2019.
[8] Emayavaramban G et al. “Indentifying User Suitability in sEMG based Hand Prosthesis for using Neural
Networks”, Current Signal Transduction Therapy. Vol. 14, No. 2, pp. 158 – 164, 2019.
[9] Rajendran T & Sridhar KP. “Epileptic seizure classification using feed forward neural network based on
parametric features”. International Journal of Pharmaceutical Research. 10(4): 189-196, 2018.
[10] Hariraj V et al. “Fuzzy multi-layer SVM classification of breast cancer mammogram images”,
International Journal of Mechanical Engineering and Technology, Vol. 9, No.8, pp. 1281-1299, 2018.
[11] Muthu F et al. “Design of CMOS 8-bit parallel adder energy efficient structure using SR-CPL logic style”.
Pakistan Journal of Biotechnology. Vol. 14, No. Special Issue II, pp. 257-260, 2017.
[12] Keerthivasan S et al. “Design of low intricate 10-bit current steering digital to analog converter circuitry
using full swing GDI”. Pakistan Journal of Biotechnology. Vol. 14, No. Special Issue II, pp. 204-208,
2017.
[13] Vijayakumar P et al. “Efficient implementation of decoder using modified soft decoding algorithm in
Golay (24, 12) code”. Pakistan Journal of Biotechnology. Vol. 14, No. Special Issue II, pp. 200-203, 2017.
[14] Rajendran T & Sridhar KP. “Epileptic Seizure-Classification using Probabilistic Neural Network based on
Parametric Features”, International Journal of Scientific & Technological Research. Vol.9, No. 3, 2020
(Accepted for Publication).
[15] Rajendran T et al. “Performance analysis of fuzzy multilayer support vector machine for epileptic seizure
disorder classification using auto regression features”. Open Biomedical Engineering Journal. Vol. 13, pp.
103-113, 2019.
[16] Rajendran T et al. “Advanced algorithms for medical image processing”. Open Biomedical Engineering
Journal, Vol. 13, 102, 2019.
[17] Anitha T et al. “Brain-computer interface for persons with motor disabilities - A review”. Open Biomedical
Engineering Journal, Vol. 13, pp. 127-133, 2019.
[18] Yuvaraj P et al. “Design of 4-bit multiplexer using sub-threshold adiabatic logic (stal)”. Pakistan Journal of Biotechnology. Vol. 14, No. Special Issue II, pp. 261-264, 2017.
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