The Impact of Demographic Variables and Consumer Shopping Orientations on the Purchasing Preference for Different Product Categories in the Context of Online Grocery Shopping

This study examines the impact of demographic variables and consumer shopping orientations on the purchasing preference for different product categories in the context of online grocery shopping within the UK. The data for this study was primarily collected from a web-based survey of consumers in the UK using a questionnaire. The quantitative data was enhanced by qualitative data in form of semi-structured interviews to enhance the quantitative results. A structural equation model (SEM) was used to analyse the quantitative data and to measure the relationships between the respective constructs. The findings show that the purchasing preferences vary by product category. Keywords: Demographic Variables, Consumer Shopping Orientations, Product Categories, UK, and Structure Equation Modelling. DOI: 10.7176/JMCR/52-0

Determinants of Consumer Behavior in an e-Commerce Environment

Online specialty food and beverage marketing has developed rapidly in the last decade. With the obvious increase in the sales income, researchers showed more and more interests in this promising market. Previous studies in this field primarily focused on the demographic profiling of the online specialty food consumers as well as initial analysis in the factors that motivate their purchase behavior. However, it is far from fully explaining consumer\u27s online shopping activities. In order to solve these problems, new methods should be attempted to determine the factors influencing consumer\u27s online buying behavior. A cluster analysis was developed to identify what kind of consumers have a higher preference of shopping online. And this analysis is based on consumer\u27s lifestyle characteristics, which are assumed to be the determinants of their online shopping behavior. By identifying the consumer groups with a relatively high propensity of purchasing on the Internet, this research will provide improved information for companies marketing food and beverage products online and strengthen their abilities to develop effective marketing strategies. The data for this study were obtained from an online survey conducted from September 27th to October 25th, 2001. First a factor analysis was applied to the forty-two lifestyle variables and ten factors were extracted to represent them. Then the factor scores for each observation, an output data set of factor analysis, were submitted to a hierarchical cluster analysis using Ward\u27s minimum-variance clustering method. As a result, lifestyle segmentations of the online specialty food and beverage market were obtained. Each segment was given a name based on the factor that has the highest loading on the particular group so as to emphasize its characteristics. Further analysis has also been done in order to compare the other related characteristics among the groups

Factors that influence online purchase intention among UUM postgraduate students

Online market is one of the industry that are currently developing and have many potential to become one of the best market in the world. Many entrepreneur have start to move from plain brick and mortar business to adopt both physical and online shops to set up their business and attract customers. There are also some entrepreneur that only focus on online commerce and only set up online shops to perform their business. Advancement in delivery services that now provided more services and allowed for a heavier and bigger products have made online business more convenience to perform by the entrepreneur and sought after by the consumer. Students are one of the prospects customers that have interest and skills to patronage and use online shopping. This study aim to identify and examine the factors that influence online purchase intentions among postgraduate students. Seven dimensions were used in this study consisting of product, price, promotion, product risk, delivery risk, privacy risk and financial risk. This study was conducted in UUM and 500 questionnaires were distributed and 394 of them were recovered and valid to be used as the sample for the study while 50 were lost and 56 were damaged and excluded from the study. This study reveals that the highest dimensions to affect online purchase intentions are products. Meanwhile delivery and financial risk dimensions are revealed to have no significant relationship with online purchase intentions

PSYCHOGRAPHIC CHARACTERISTICS INFLUENCING CONSUMER BEHAVIOUR TOWARDS ONLINE PURCHASE INTENTION: A STUDY ON GENDER DIFFERENCES

E-commerce has emerged as an important method of business. With nearly 2.5 trillion internet users worldwide and surpassed USD1 trillion sales in 2012, it is essential to understand the behavior of the online shoppers. Previous studies have explored the relationship of customer innovativeness, market mavenism, shopping enjoyment, shopping orientation towards online purchase intention. Thus this study would like to understand further on the gender differences upon the psychographic characteristics that influence online purchase intention. A survey technique using national sample of online shoppers resulted in 174 valid responses. Analysis using SPSS was done to investigate the difference between genders in terms of the variables involved. This paper analyzed and demonstrates empirically how consumer psychographic characteristics that affect the online purchase intention differ from gender perspective

An empirical analysis of online shopping behavior in India: a demographic perspective / Sonia Bhatt

The e-commerce market of the world is growing at a very fast rate. High internet access rate, increased smart-phone users’ rate, growing mobile internet users’ rate, reduced smart-phone cost and added internet speed has enabled online shopping too much user-friendly and easier in recent years. The purpose of this paper is to investigate the role of demographic variables of the customers in affecting online shopping behavior. With the help of an extensive literature review, hypotheses were formulated for seven demographic variables i.e. age, gender, marital status, location, level of education, income per month and occupation. With the help of a survey method 542 responses were collected from three different locations New Delhi, Gorakhpur and Mumbai. A chi-square test was performed for checking the association between demographic variables and attitude of online shoppers towards online shopping. A significant positive association was observed between level of education and level of income with the online shopping behavior of the consumers. Based on the empirical findings, this paper includes managerial suggestions for stimulating online shopping behavior among consumers

The Influence of Social Networking Sites on Buying Behaviors of Millennials

Social media sites have become an important part of many individuals’ lives. According to the Pew Research Center (2010), Millennials, also known as Gen Y, are living their lives on the internet where 75% of them have a profile on a social networking site. When compared with only 50% of Gen Xers and 30% of Boomers, this gives them the distinct identity that they are more technologically advanced

Impact of Employment and Consumer Reliability in Buying Products Online in Kosovo

Informative technology and especially the internet has created great opportunities in the business field. Even the United States economy as a world superpower is based on the use and exploitation of the potential benefits of the internet (online access). One of these is electronic business (E-Commerce) or online and which relates to sales and purchases from home. Seeing that international trade is now focused in buying and selling online, this paper first analyzes the theory of purchasing online and confidence in online shopping, then analyzes the data on the income and credibility of the consumers for buying products.The methodology used in this paper is through the analysis of quantitative and qualitative methods. Through simple linear regression (OLS) measurements were made for the income and online purchases whereas the correlation shows the connection between these two variables. To find results in Kosovo, a structured questionnaire with nominal and ordinary data was used.Expected results of this paper serve a certain clientele and have to do with the awareness of people that using internet services is very profitable. Keywords: Internet, e-commerce, online purchases, services, etc. DOI: 10.7176/IKM/10-6-04 Publication date:September 30th 2020

PENGARUH GAYA HIDUP DAN KEMUDAHAN TERHADAP MINAT BELI MAHASISWA DALAM BERBELANJA ONLINE

The development of technology makes the internet a medium that is not only used as a medium of communication, but also a shopping medium. The purpose of this paper is to see how the effect of lifestyle and ease of use on college student interest in shopping online. This research is a descriptive and parametric study. The data used are primary data, processing using data with ANOVA (analysis of variance) test. The sampling technique used was purposive sampling with a total sample of 205. The results showed that lifestyle and ease of use affect the buying interest of college students in shopping online. From the economic side, online shopping can reduce the activity/ sacrifice that is considered as expenditure

Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping

Searching product information or buying goods online is becoming increasingly popular and could affect shopping trips. However, the relationship between e-shopping and in-store shopping is currently unclear. The aim of this study is to investigate empirically how the frequencies of online searching, online buying, and non-daily shopping trips relate to each other, after controlling for sociodemographic, land use, behavioral, and attitudinal characteristics. Data were collected from 826 respondents residing in four municipalities (one urban, three suburban) in the center of the Netherlands, using a shopping survey. Structural Equation Modeling was used to give insight in the mutual dependencies of the endogenous variables, and in direct and indirect effects between variables. The findings suggest that complementarity or generation between e-shopping and in-store shopping seems to be more likely to occur than substitution. The more often people search online, the more shopping trips they tend to make. Frequent in-store shoppers also buy frequently online. Shop accessibility has a negative effect on the frequency of online searching; the more shops are nearby, the less often persons search online. However, shop accessibility influences the frequency of online buying positively; the more shops are nearby, the more often persons buy online. Urbanisation level affects e-shopping indirectly via Internet use: urban residents shop online more often than suburban residents do, because urban residents use the Internet more often.