Effectiveness of Online Shopping Advantages of Healthy Food Products on Consumer Buying Behaviour

2021 ◽  
pp. 89-99
Author(s):  
Amar Nath Gupta ◽  
Pradnya Chitrao
Keyword(s):  
Online Shopping ◽  
Food Products ◽  
Healthy Food ◽  
Buying Behaviour

Regulatory focus, self-efficacy and outcome expectations as drivers of motivation to consume healthy food products

Appetite ◽  
2012 ◽  
Vol 59 (2) ◽  
pp. 243-251 ◽  
Author(s):  
Ana Alina Tudoran ◽  
Joachim Scholderer ◽  
Karen Brunsø
Keyword(s):  
Regulatory Focus ◽  
Self Efficacy ◽  
Outcome Expectations ◽  
Food Products ◽  
Healthy Food

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 Detection of genetically modified soya, maize, and rice in vegetarian and healthy food products in Serbia

2013 ◽  
Vol 31 (No. 1) ◽  
pp. 43-48 ◽  
Author(s):  
G. Zdjelar ◽  
Z. Nikolić ◽  
I. Vasiljević ◽  
B. Bajić ◽  
D. Jovičić ◽  
...  
Keyword(s):  
Raw Materials ◽  
Genetically Modified ◽  
Food Products ◽  
Healthy Food ◽  
Initial Screening ◽  
Roundup Ready ◽  
Camv35s Promoter ◽  
Eu Countries ◽  
Genetic Modifications ◽  
Gm Rice

The presence of genetic modifications was analysed in a total of 100 samples of non-labelled vegetarian and healthy food products. The basic raw materials in the samples tested comprised maize, soya, and/or rice. The screening of all samples was performed using the primers for CaMV35S promoter. The positive samples from this initial screening were further subjected to the analysis of specific transgenic material to determine the type of GMO present with subsequent quantification. Roundup Ready soya was found in eight samples, but its content was below the limit of 0.9%. None of the analysed samples of food products contained GM maize and GM rice. Considering that the investigated samples were imported mainly from EU countries, it can be concluded that the control of GMOs is carried out systematically and in accordance with the Serbian GMO Law.

Who really values healthy food?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pilar Ester Arroyo ◽  
Javier Liñan ◽  
Jorge Vera Martínez
Keyword(s):  
Psychological Health ◽  
Food Choice ◽  
Food Preferences ◽  
Food Product ◽  
Food Products ◽  
Healthy Food ◽  
Content Type ◽  
Trade Offs ◽  
Individual Traits ◽  
Health Related

PurposeWhen selecting manufactured foods, customers consider several product features. Given the contemporary trends of food consumption, the purpose of this paper is to determine the influence that some demographic and psychographic key variables have on the chances of a consumer belonging to a market segment characterised by health-related food preferences.Design/methodology/approachThe food choice scale is revised to develop a multidimensional measure of the factors underlying consumer food choices. Data of 288 sampled consumers were used to validate the scale and to group consumers into four segments based on the value assigned to several food-product meta-attributes. Depending on these food choice values, the study identified four dissimilar clusters: utilitarian, protecting, toning and highly demanding.FindingsConsumers use multiple attributes when choosing food products. However, emerging segments tend to prefer health-related attributes over utilitarian or conventional attributes, such as price, flavour or accessibility. The consumers of these segments tend to be older, more health conscious and more prone to psychological health risks.Originality/valueDemographic and psychographic traits tend to drive trade-offs between health- and non-health-related attributes when considering food products. Several multivariate methodologies were innovatively coupled to characterize consumers based on their healthy food preferences and individual traits.

Is Acrylamide really a food safety issue?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniela Dal Castel Krein ◽  
Rafaela Julyana Barboza Devos ◽  
Luciane Maria Colla ◽  
Christian Oliveira Reinehr
Keyword(s):  
Food Safety ◽  
Human Health ◽  
Human Exposure ◽  
Design Methodology ◽  
Safety Issue ◽  
Food Products ◽  
Healthy Food ◽  
Content Type ◽  
Safety Problem

Purpose Acrylamide is a compound found in several food products. Due to the toxicity of this compound, research also seeks strategies to modify industrial and homemade processes, impacting on the reduction of the compound. This paper aims to discuss the aspects surrounding the presence of acrylamide in foods. Design/methodology/approach Published literature on the presence of acrylamide in foods and on its effects has been reviewed. This paper explores the importance of this compound, summarizes the knowledge of its formation and gathers data on its incidence in food and the possibilities of mitigation. Special attention is given to an evaluation of the toxicological tests applied, to analyze whether acrylamide can be considered as a food safety problem. Findings Human exposure to food with high levels of acrylamide varies in their levels regarding the consumption of food in the diet and not only by the level of the compound present in them. Although the compound is well defined as toxic to humans, the association between its intake and most common cancers may not be directly related. Originality/value Depending on the approach of the researchers, contradictory results are obtained, showing the importance of this topic to the development of healthy food products. Further research is still needed to validate the potential effects of acrylamide on human health.

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.

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