scholarly journals Psychological Factors Influencing the Adoption of Web-Based Shopping Behaviour of Female Consumers

2020 ◽  
Vol 3 (2) ◽  
pp. 169-184
Author(s):  
Komal Mehreen ◽  
Robina Roshan ◽  
Mamoona Gul
Keyword(s):  
Psychological Factors ◽  
Online Shopping ◽  
Research Paper ◽  
Common People ◽  
Web Based ◽  
Factors Affecting ◽  
Security Issues ◽  
Female Consumers ◽  
Buying Behaviour ◽  
Online Buying

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.

Consumer Online Buying Decisions: A Critical Appraisal of Literature

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Amit Kishore Sinha ◽  
Gyanendra B. S. Johri ◽  
Shanti Rai
Keyword(s):  
Research Paper ◽  
Business Environment ◽  
Buying Behavior ◽  
Related Factors ◽  
Factors Affecting ◽  
Goods And Services ◽  
Online Stores ◽  
Online Buying ◽  
Indian Cities ◽  
Buying Decisions

Since last two decades buying of goods and services from online stores using Internet started off. But players of this industry could reach to the general public residing in second and third category Indian cities in recent past only. Now companies are eagerly interested in understanding the factors affecting Indian consumers so that their needs and wants can be understood and served profitably. This research paper is an attempt to critically evaluate those factors which affect consumer buying behavior in Indian Internet based business environment. For the purpose of coverage of topic researcher has classified the literature under three categories which are Literature related to vendor related factors, Literature related to consumer related factors and Literature related to other factors. Vendor related factors include those factors which are primarily controlled by the companies that are engaged in selling their goods and services on internet along with their intermediaries through which such sales take place. Consumer related factors have been bifurcated under two heading that are consumer demographic factors and consumer psychographic factors. Besides this there are several other factors which may affect consumer’s buying decisions and they are classified as other factors. This research paper also tries to identify the gaps (if any) in the available literature of the factors affecting consumer online buying decisions.

Online shopping environments and consumer’s Need for Touch

2019 ◽  
Vol 16 (5) ◽  
pp. 814-826 ◽  
Author(s):  
Rupa Rathee ◽  
Pallavi Rajain
Keyword(s):  
Online Shopping ◽  
New Technology ◽  
Enabling Technology ◽  
Content Type ◽  
Correlation And Regression Analysis ◽  
The People ◽  
Online Retailers ◽  
Shopping Environments ◽  
Buying Behaviour ◽  
Online Buying

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.

Comparing Predictive Ability of Classifiers in Forecasting Online Buying Behaviour

2020 ◽  
pp. 1279-1296
Author(s):  
Sanjeev Prashar ◽  
S.K. Mitra
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Online Shopping ◽  
Predictive Ability ◽  
Future Research ◽  
Artificial Neural ◽  
Promotional Strategies ◽  
Artificial Neural Network Ann ◽  
Buying Behaviour ◽  
Online Buying

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.

scholarly journals A study on online shopping vs offline shopping with reference to the students of the Department of Commerce and Management Studies, Andhra University,Visakhapatnam

2020 ◽  
Vol 4 (6) ◽  
pp. 31-36
Author(s):  
Lakshmipriyanka A ◽  
Harihararao M
Keyword(s):  
Consumer Behavior ◽  
Social Factors ◽  
Psychological Factors ◽  
Online Shopping ◽  
Factors Affecting ◽  
Affecting Factor ◽  
Emotional Factors ◽  
Online Purchases ◽  
The People ◽  
The University

The Aim of this research is to study the factors affecting the consumer behavior in the path of offline to online shopping. To this end, a survey was conducted and the questionnaires were distributed among the students of the university. The replies have been analyzed by chart analysis. The results of the survey has shown that most of the people already doing online shopping and prefer to continue it.the factors such as psychological factors, social factors emotional factors, and the privacy factors which affect the buyer approaches to online purchases. Several attitudes of consumers toward online shopping are not in rest in the study due to the study restricted to Andhra university-Commerce and management Time, the convenience and the recommendations have been identified as important factors. Time was considered to be the affecting factor for the majority of students. Most of the consumers hesitate not to do shopping offline, because of the time concern.

scholarly journals ONLINE SHOPPING AND FOLKLORE - A REVIEW: WITH SPECIAL REFERENCE TO INDIA

2014 ◽  
Vol 1 (1) ◽  
pp. 30-34
Author(s):  
Anand Vyas ◽  
Sachin Gupta
Keyword(s):  
Special Reference ◽  
Online Shopping ◽  
Research Paper ◽  
Factors Affecting ◽  
Online Transactions ◽  
Indian Economy ◽  
The People ◽  
Sales Figure ◽  
Dark Room

The purpose of this research paper is to classify factors affecting the online shopping in India. The weighty growth of online shopping is noticeable in India. More and more consumer is transferring to online shopping rather than traditional buying methods. Many myths and misconceptions emerge in India regarding online shopping. Every new thing, when it is not cleared by all the people properly, it is only a nightmare. Online shopping is intricate in nature. As we know the number of online transactions have been increased, but it is still under the dark room. Government and E-commerce companies should take necessary steps for reducing the level of misconceptions and myths of online shopping in India. This research paper’s purpose is to identifying ‘How’ the companies can be able to overcome these fake information regarding online shopping. Also improve company’s sales figure, for the upliftment of company as well as an Indian economy.

Comparing Predictive Ability of Classifiers in Forecasting Online Buying Behaviour

2015 ◽  
Vol 6 (4) ◽  
pp. 54-71
Author(s):  
Sanjeev Prashar ◽  
S.K. Mitra
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Online Shopping ◽  
Predictive Ability ◽  
Future Research ◽  
Support Vector ◽  
Market Demand ◽  
Artificial Neural ◽  
Buying Behaviour ◽  
Online Buying

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.

scholarly journals FACTORS AFFECTING ONLINE BUYING BEHAVIOUR OF CONSUMERS IN ABUJA METROPOLIS

2021 ◽  
Vol 2 (1) ◽  
pp. 14-32
Keyword(s):  
Product Quality ◽  
Perceived Risk ◽  
Sampling Technique ◽  
Primary Data ◽  
Statistical Tool ◽  
Factors Affecting ◽  
Major Factors ◽  
Buying Behaviour ◽  
Online Buying ◽  
On Time Delivery

The internet has undoubtedly become crucial to global growth as it vectors lots of opportunities. This study was motivated by the perception that Nigerian consumers prefer traditional over virtual shopping despite having internet access. This study sought to investigate the factors affecting the online buying behaviour of consumers in Abuja Metropolis. The study used purposive and convenience sampling technique to select 352 respondents. Primary data was collected with the aid of structured questionnaires. The data collected was analyzed using multiple regression analysis with the aid of the SPSS statistical tool. The study found that while on-time delivery has a positive and significant effect on the online buying behaviour of consumers in Abuja Metropolis, product quality was found to have a positive and insignificant effect on the online buying behaviour of consumers in Abuja Metropolis while the perceived risk was found to have a negative and significant effect on the online buying behaviour of consumers in Abuja Metropolis. The study concludes that on-time delivery, product quality, and perceived risk are the major factors affecting the online buying behaviour of consumers in Abuja Metropolis. The study, therefore, recommends that there is a need for companies utilizing online platforms for business operations to align the advantages of online shopping with traditional means of purchase, speed up the delivery processes, and as much as maintaining a high degree of confidentiality regarding their customer’s information during the process of online payment. Keywords: online buying behaviour, product quality, on-time delivery, perceived risk.

scholarly journals Online Buying Behaviour with Special Reference to Kadapa Town in Andhra Pradesh State

2020 ◽  
Vol 4 (6) ◽  
pp. 21-23
Keyword(s):  
Special Reference ◽  
Sample Size ◽  
Andhra Pradesh ◽  
Internet Shopping ◽  
Web Based ◽  
Essential Information ◽  
Internet Browser ◽  
Buying Behaviour ◽  
Online Buying ◽  
Business Person

Web based shopping is a type of trade which enables customers to legitimately purchase merchandise or administrations from vender utilizing an internet browser. The business person Michael Aldrich imagined web based shopping in 1979. The investigation centers around online customers inclinations and issues on different internet shopping advertisers. Survey was utilized to gather the essential information. The study area is restricted only in kadapa town of Andhra Pradesh with sample size of 150 respondents.

scholarly journals The Factors Affecting the Consumer Buying Behaviour Towards Local Brand of Food Product in Selangor

2021 ◽  
Vol 12 (1S) ◽  
pp. 40-50
Author(s):  
Shaza Nabilah Shamri ◽  
Nurul Aisyah Mohd Suhaimi ◽  
Afnani Alwi@Ali
Keyword(s):  
Psychological Factors ◽  
Food Product ◽  
Food Products ◽  
Consumer Information ◽  
Small Scale ◽  
Factors Affecting ◽  
The Third ◽  
First Choice ◽  
Components Analysis ◽  
Buying Behaviour

The aim of this study is to determine the factors affecting the consumer buying behaviour toward food products in Selangor. Consumer behaviours comprise four factors: cultural, social, personal, and psychological factors. These factors influence consumer buying behaviour toward Malaysian local brands. Data were collected through online questionnaires using Google form. The sample of study consisted of 210 consumers in Selangor. In particular, principal components analysis (PCA) was employed in order to identify the factors that affect consumers on preferring locally produced food products. The findings of this study indicate that Halal logo was the first choice in terms of consumer’s perspective on the product attributes when buying food products followed by price. Size and quantity, and packaging are the third and fourth attributes considered by consumers when buying food products.  Our result suggests that, by providing this consumer information to small scale or local sellers will encourage more consumers to purchase local food products.

Facebook Advertising as a Marketing Tool

2021 ◽  
Vol 11 (2) ◽  
pp. 52-74
Author(s):  
Barween Hikmat Al Kurdi ◽  
Muhammad Turki Alshurideh
Keyword(s):  
Social Media ◽  
Consumer Behaviour ◽  
Message Content ◽  
Factors Affecting ◽  
Female Consumers ◽  
Social Media Platforms ◽  
Marketing Tool ◽  
Buying Behaviour ◽  
Facebook Advertising ◽  
Advertising Communication

Social media platforms are widely used these days for the advertising and marketing of products. Facebook is considered one of the main social media platforms used by users these days. Currently, there are limited studies investigating the use of Facebook as an advertising communication platform, especially for the purchase of cosmetic products. This study targeted female consumers to ascertain to what extent Facebook advertising influenced their cosmetic buying behaviour through using a set of factors that were selected, namely, advertisement quality, advertisement design, message strength, advertisement repetitiveness, and message content. Smart PLS was used to assess the study model and to test the study's hypotheses. The study found that the main factors affecting consumer behaviour were advertisement quality and advertisement repetitiveness. The paper discusses the study's findings by presenting a set of implications and making recommendations.

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