scholarly journals Online Impulse Buying Behavior of Consumer Triggered by Digital Marketing

Online marketing is bitten by bit getting to be prominent in creating nations like India. The online advertising has developed as another goal which pulls in a great many customers consistently. "Impulse buy" or "impulse buying depict any buy which a consumer makes, however, has not arranged ahead of time (Baumeister, 2002; Stern, 1962). The components that influence the consumer online buying have been uncovered through quantitative research by breaking down information gathered through an internet-based poll overview. This comprised of 90 consumers who were buying online. This examination additionally talks about the administrative issues, recommendations and suggestions for the future analysts. The understanding of buying behaviour of online customers as far as their impulsive conduct would be useful for the advertisers and academicians. The main aim of this paper is to take a gander at the components which striving for online shopping and to build up a comprehension of the variables affecting the online shopping by the consumers

2019 ◽  
Vol 11 (1(J)) ◽  
pp. 27-38
Author(s):  
Elizabeth Chinomona

Abstract: Impulsive buying behavior is an emerging phenomenon in marketing literature and it affects consumers across the board. Impulsive buying is seen as the outcome of demonstrative reactions that breed the unexpected craving to purchase. Impulsive buying is becoming an important factor for retailers since they generate a lot of income through this kind of behavior. Due to the expansion of organized retail over the country, shops are trying to comprehend the buying behavior of consumers and try by all means that they trigger consumers to act in an impulsive way. Traditional buying behavior of consumers was seen as when purchasers made a list for purchasing products then depart to a particular store and purchase it. But now the whole buying behavior is changing due to the rise in the income level of consumers. This is giving the consumers more buying power, transformation in the socio-cultural environment way of life and consumption pattern. This, therefore, influences the consumer to act in an irrational manner which is known as unplanned buying without considering the potential consequences which may include non-usage of the product, negative economic consequences and feelings of regret, fury and fault. So the present study aims to analyze how uniqueness, price and past orientation influence impulse buying behavior are focusing on classical clothing brands like Nike, Adidas and Reebok. This study attempts to discern how consumer's traditional planned shopping behavior is shifting to impulse buying behavior. The study used a quantitative research method and analyzed the data by means of SMART PLS to test the relationships and the model. 350 questionnaires were used for data analysis using convenience sampling process. The outcomes of the research showed a progressive and significant association between the predictors (the need for uniqueness, price and past orientation) and the outcome variable (impulsive buying behavior).


Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 993-1006
Author(s):  
Mansurali Anifa ◽  
Swamynathan Ramakrishnan ◽  
P. Mary Jeyanthi

A pandemic like COVID-19 that has the capacity to turn any economy upside down will always have a significant influence on the social Behavior and habits of population all over the world. COVID-19 pandemic is a historic challenge for any economy to overcome as they have no prior preparation. Lack of testing kits, insufficient ventilators and community spread has forced countries to impose indefinite shutdown that has made major markets to suffer. The goal of this paper is to study the buying behavior of consumers during covid-19. This paper also focuses on the factors that influence consumer’s behavior and perceptions during the pandemic. A quantitative view has been adopted to achieve the objectives of the study. With limited online buying options and higher risk of getting infected with brick & mortar shopping, it is important to understand consumer buying Behavior that can help policy makers, manufacturers, and companies to better deal with similar crisis in the future.


2020 ◽  
Vol 76 ◽  
pp. 01052
Author(s):  
Sesilya Kempa ◽  
Kevin Vebrian ◽  
Hakim Bendjeroua

The phenomenon in the increasing fashion business is caused by online shopping activity, especially in fashion products. In this research, shopping activity is focused on online shopping. Online shopping is also called internet shopping, electronic shopping, online buying, or buying through the internet. Online shopping has become the newest trend for Indonesian as an alternative to buying a product or service. Advertisement and trend are able to influence consumers in doing or deciding to buy. This is the reason people buy excessively unplanned as needed. This research purpose is to observe the sales promotion influence toward impulse buying with hedonic shopping value as intervening to fashion online shopping consumers in Surabaya. This research uses 99 respondents, and the data analysis uses the Partial Least Square (PLS) model. The result shows that sales promotion and hedonic shopping value have significant positive influence on impulse buying. Moreover, hedonic shopping value as variable intervening has an influence between sales promotion to impulse buying.


2016 ◽  
Vol 4 (8(SE)) ◽  
pp. 60-65
Author(s):  
Lakshmi

With the increasing internet literacy, the prospect of online marketing is increasing. There are millions of people online any time and they all are a potential consumer in the online market. Since there are so many providers, the most important thing for organizations is to understand what are consumer wants and needs in this competitive business environment. Customer buying behaviors are influenced by different factors such as culture, social class, references group relation, family, salary level and salary independency, age, gender etc. and so they show different customer behaviors. These studies explain online shopping important and consumer buying behavior in online shopping.


2019 ◽  
Vol 16 (5) ◽  
pp. 814-826 ◽  
Author(s):  
Rupa Rathee ◽  
Pallavi Rajain

Purpose Online shopping has become a commonplace thing nowadays as people can buy products from the comfort of their home. But such environments do not offer a complete sensory interaction as consumers are unable to touch products which is quite important for certain categories of products such as apparels. Therefore, in order to find whether every individual seeks touch equally, the purpose of this paper is to deal with the differences in an individual’s preferences for touch. The study also evaluates customer responses towards the introduction of touch-enabling technology which can, to some extent, compensate for the lack of touch. Lastly, the study includes customers’ views regarding showrooming and webrooming. Design/methodology/approach A total of 203 responses were received through online and offline questionnaires. The data were analysed using ANOVA, correlation and regression analysis through SPSS version 23. Findings The results revealed that gender influenced the Need for Touch (NFT) with women having higher NFT. The people who were high in NFT preferred to buy in-store, whereas their low NFT counterparts were comfortable with both online and in-store options. Lastly, it was found that there was a significant impact of NFT on online buying behaviour. The new technology when used by online retailers would break the barriers that exist between real touch and virtual touch. Originality/value Although previous authors have given several options like mental representations, verbal details and brand image as alternatives to touch but the use of touch-enabling technology can revolutionise the way online products are perceived. The study adds value by relating NFT with online preferences, showrooming and webrooming.


2020 ◽  
pp. 1279-1296
Author(s):  
Sanjeev Prashar ◽  
S.K. Mitra

With Internet invading geographic boundaries and diverse demographic strata, online shopping is growing at exponential rate. Expected to grow by 45 per cent to $7.69 billion by the end of 2015, India's ecommerce market has emerged as one of the most anticipated destinations for both multinational and domestic retailers. Since their success will depend on their ability to attract shoppers to buy online, it becomes relevant for them to decipher Indian consumers' attitude and behaviour towards online shopping and to predict online buying potential in India. The effectiveness of marketing and promotional strategies and action plans also will have to be pivoted around the potential available in the market. This empirical study explores the accuracy, precision and recall of four different classifying techniques used in predicting online buying. The forecasting ability of logistic regression (LR), artificial neural network (ANN), support vector machines (SVM) and random forest (RF) in the context of willingness of shoppers' to buy online has been compared. Analysis of the data supported most of the predictions albeit with varying level of accuracy. The outcome of the study reflects the superiority of artificial neural network over the other three models in terms of the predicting power. This paper adds to the knowledge body for online retailers in reducing their vulnerability with respect to market demand and improves their preparedness to handle the market response. Managerial implications of the findings and scope for future research have been deliberated.


2003 ◽  
Vol 20 (2) ◽  
pp. 139-156 ◽  
Author(s):  
Ah Keng Kau ◽  
Yingchan E. Tang ◽  
Sanjoy Ghose

This article aims to examine the online buying behavior among a group of Internet users. Based on a sample of over 3,700 Internet users, this study explores their information‐seeking patterns as well as their motivations and concerns for online shopping. Factor analysis and cluster analysis were used to classify the respondents into six types of online shoppers. Coupled with their demographic information and actual buying behavior, it was possible to constitute a distinct profile for each of the segments. Discriminant analysis was also conducted to seek out the important attitudinal variables that differentiated the various clusters of online shoppers. The implications of such classification are also discussed.


Author(s):  
Komal Mehreen ◽  
Robina Roshan ◽  
Mamoona Gul

Online shopping is one of the latest emerging and revolutionary trends influencing the lives of common people. This research paper examines the relationship between demographic variables and internet exposure which are independent variables with the dependent variables i.e. psychological factors and consumer online buying behaviour. People are now moving from conventional shopping towards web based/online shopping because of which they can buy everything from home. The research paper explains the influence of five psychological variables such as security issues, privacy issues, overcharged, fraud/ hackers and lack of trust over the retailer derived from literature. Data from a sample of 298 female students of public and private sector universities of Dera Ismail Khan were collected through the self-developed and standardized questionnaire. Data were analysed by using descriptive statistics and Pearson’s correlation. The statistical analysis of the data reflects a lack of trust over the retailer and privacy concerns are considered as the most relevant factors affecting female consumers’ online buying behaviour.


2016 ◽  
Vol 4 (9(SE)) ◽  
pp. 26-36
Author(s):  
R.Anantha Laxmi ◽  
ArunSarath Kumar

Online shopping behavior (also called online buying behavior and Internet shopping or buying behavior) refers to the process of purchasing products or services via the Internet. E-commerce has been growing very fast because of many advantages associated with buying on internet because of lower transaction and search cost as compared to other types of shopping. Through online shopping consumers can buy faster, more alternatives and can order product and services with comparative lowest price. Therefore, in this paper, the researchers have carefully analyzed the consumers’ attitude and behavior towards online shopping. This paper gives a comprehensive picture of the awareness and attitudes of consumersin using internet for online purchase. A sample size of one hundred and five respondents is selected for the research from Thoothukudi district. The study quantitatively analyses the awareness of consumers in using internet, attitudes and behaviors of the consumers in buying various products from internet, hours of using the internet and the like using primary data. Appropriate findings and suggestions are given in the paper.


2020 ◽  
Vol 3 (2) ◽  
pp. 86
Author(s):  
Bambang Setia Wibowo ◽  
Diaz Haryokusumo

<p><br />This study examined the influence of e-commerce application, social media instagram and digital marketing to online purchases of millennial generation consumers. Respondents of this study were 152 university students who have already shopped online at e-commerce applications, have ever seen e-commerce advertisements on electronic media and have used social media instagram for online shopping participated in this reseach. There are several findings in this study. First, e-commerce application has positive influence to online purchases of millennial generation consumers. Second, social media instagram has postive effect to online purchases of millennial generation consumers. Third, digital marketing has positive effect to online purchases of millennial generation consumers.<br />Keywords : industrial revolution 4.0, e-commerce, instagram, digital marketing, instant online buying, millennial generation consumers</p>


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