Factors Affecting the Frequency of Online Shopping of Millennials and Post-Millennials

The paper focuses on the identification and specification of the Y and Z Generation online consumer behaviour and analysis of factors affecting the frequency of online shopping young Slovak consumers. The aim of this paper is to identify the factors affecting the frequency of online shopping of Millennials and Post-Millennials consumers. Within this issue, the attention is focused on the impact of individual characteristics of respondents, their online consumer attributes; their attitudes towards online shopping; financial risk perception; the impact and perception of promotion on their purchasing decisions; perception of the importance of guaranteeing risk-free online shopping; product range offer; and individual characteristics of an e-shops. The results of the research of general consumer attributes revealed statistically significant intergenerational and intergeneric differences. Keywords: Millennials, Post-Millennials, frequency of online shopping, e-commerce

Online Consumer Behaviour Analysis using Python

This technology is growing day by day,it has developed from a big room to single palm and time consume to the consumer. This essay reviews the course of consumer behaviour analysis, a research programme that employs the finding and principles of behavioural research to elucidate consumer behaviour and marketing management. Although attempts have been made from time to time to integrated a behaviour analytic perspective intomarketing research, the tendency has been to concentrate on the potential contribution of operant psychology to managerial practices rather than to examine the potential of behaviourism to provide a theoretical basis for marketing and consumer research. Moreover, concentration on research with animals subjects has severelylimited the relevent of behaviour analysis to marketing. The essay therefore pursues three themes: (1) to explicate currently developments in behaviour analysis, such as the analytics of verbal behaviour; (2) to take account of work by behaviour analytics on economic choice and to apply its lessons to understanding consumer behaviour and marketing action in naturally occurring environments; (3) to establishes the requirements of an interpretive approaches to consumer behaviour and marketing which is not limited to an experimental analysis of choices.

Identifying Key Important Factors Affecting Consumer Purchase Behaviour On Luxury Brand Through the Use of Instagram

Purchasing via the internet is one of the most rapidly growing forms of shopping, which has overcome traditional retailing since late 1998. In this chapter, factors related to online and social media shopping and the benefits of using social media will be discussed. Instagram application, tendency of using brand name, online consumer behaviour, and Thai consumer behaviour towards the use of social media will also be illustrated to review what the key factors important in online shopping mentioned in previous research are.

Cross-visiting Behaviour of Online Consumers Across Retailers’ and Comparison Sites, a Macro-Study

Extant academic research provides a comprehensive view of online consumer behaviour on a single website, paying less attention to the integrated environment in which websites operate. Retailers’ products, however, are not only available on their own website, but also through other connected channels such as comparison sites. Our limited knowledge of consumers’ integrated behaviour across the entire market poses difficulties to design effective online strategies. At the same time, practitioners have mainly focused on website performance measures, ignoring the reasons behind the behaviour of consumers. A deeper understanding of consumers who visit different websites or, cross-visit, can inform successful online channel strategies. This macro-level study aims to bridge this gap by investigating how the usage behaviour on retailers’ websites and comparison sites influences each other, using large-scale industry-based data. A new measure of ‘cross-visiting’ behaviour is introduced and examined.

BUYING BEHAVIOUR PATTERN ON ONLINE CONSUMER

ABSTRACT Since the beginning of the Internet, individiuals have shown interest to the Internet. According to Internet World Stats' statistics (2012) today more than two billion people linked to the Internet. This number shows that 30 percent of the world population use the Internet. Consequently, the Internet can be used for the competitive advantage by organisations and actually it is a powerful source to use (Hamill, 1997; 300).Customer behaviours 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 behaviours. These differences are seen more specific when it is considered between two different consumer groups from different countriesThis paper using online questioner, since the research was an online consumer behaviour study, online data collection methods were preferred. The link of the questionnaire has been sent online. 184 were responded and within the responded questionnaires 169 were usable for analysis (six incomplete responses have been eliminated). The sample consisted of individuals that live urban area which is Jakarta and Surabaya and rural cities which is Klaten and Madiun.The result of this study would contribute marketers who want to penetrate the market in 4 cities who is already present in the market and wants to maintain the loyalty of their customers. It can also be a part of the study on international consumer behaviour toward online shopping.

Engaging consumers in multichannel online retail environment

Purpose With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers. Design/methodology/approach A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion. Findings The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion. Practical implications The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem. Originality/value In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.