women's buying behavior

Further, the factorability of the data was examined. Privacy Policy. Enter the email address you signed up with and we'll email you a reset link. Singh, L. (2016). The family-oriented shopping as a preference was found to be consistent across regions and cities, income segments and age groups in India (Sheth &Vittal, 2007). Online shopping decisions are also influenced by the type of product or service. Demographic factors, convenience, time effectiveness, website design/features, security and social media influence are the independent variables. This framework suits the investigation as the understanding of the determinants of women’s attitude has both a direct and positive effect on women’s intentions to actually use the Internet for shopping apparels. Featherman, M. & Pavlou, P.A. For a study of this nature the exact population is not known. Specifically, it sought to answer the following questions: 1. Vijayawada, an economically, socially and technologically prosperous town in the newly formed State of Andhra Pradesh in India, provided an appropriate setting for making this study. Dennis, C.E., Murphy, J., Marsland, D., Cockett, W. & Patel, T. (2002). & Yung, Y.F. It is aimed at understanding the factors affecting female online buying behaviour. Most of the consumers who are used to pay by cash at a checkout may find the electronic transfer and security checks unfamiliar and more complex. Journal of Business Research, 56(11), 867-875. Journal of Consumer Behaviour, 4(1), 40-50. An individual’s response to a task involving judgment is based on three aspects viz., individual’s past experiences, the context or background and the stimulus (Helson, 1964). Journal of Global Information Management, 7(2), 6-30. What drives consumers to shop online? Varma, I.G. Important attributes of online shopping are convenience and accessibility to most consumers (Wolfinbarger & Gilly, 2001). Computers in Human Behaviour, 21(1), 105-125. They observed that there is a substantial rise in internet penetration and online retailing in emerging markets in India. (2004). The recommendations are targeted at fashion industry companies who have an existing online presence and wish to better benefit from the possibilities provided by blogs. Retrieved from http://www.scivisum.co.uk/pressreleases/200609malefemale_ecomm.htm. International Journal of Electronic Commerce, 1(2), 59-88. It has become a hotbed of advertising, shopping and commercial activity (Rowley, 1998). Sheth, K.N. Measuring image: Shopping centre case studies. Internet shoppers are the people who shop online, whereas Internet browsers are the people who just browse the Internet for other than shopping purposes. The phenomenon of compulsive buying tends to affect women rather than men. Internet retailers (e-retailers) face difficulty in satisfying customers’ higher-level needs for personal interaction. Of the 316 respondents, 157 were in the age group of 21-25 years (49.7%), 63 in 15-20 years (19.9%) and 50 in 26-30 years (15.8%). The primary reason for online grocery shopping is convenience and the time saved (Morganosky & Cude, 2000). Students at the graduation level constitute the modal group. Get real! Several well-recognised criteria for the factorability of a correlation were used. In fact, for the consumer, buying products on internet appears to be more complex decision as it is more difficult to form an impression as to whether the products on offer are appropriate (Raijas, 2002). Brown, J.G., Durrett, R.J. & Wetherbe, J.C. (2004). Browsers or buyers in cyberspace? I shop online as I can then save myself from chaos of traffic. Trust reduces the consumer’s perception of risk associated with opportunistic behaviour by the seller (Ganesan, 1994). According to TrackMaven, brand engagement is defined by, "the level of consumer consciousness of a company. (Source: Nielsen Consumer, 2013) Women control more than 60% of all personal wealth in the U.S. (Source: Federal Reserve, MassMutual Financial Group, BusinessWeek, Gallup) Women purchase over 50% of traditional male products, including automobiles, home improvement products, and … Garbarino, E. & Strabilevitz, M. (2004). Security of the online transaction and source credibility of the supplier are important too. I feel that it takes less time in evaluating and selecting a product while shopping online. Shang suggest that online shopping is not much of a goal-oriented activity rather it is a result from cognitive absorption experiences from the Internet, a personality characteristic that influences perception and especially perceptual differentiation (Antonides & Van-Raaij, 1998). The young shoppers are mainly college students who are technologically savvy and don’t mind shopping online. The most vulnerable stage for the customer is the evaluation of alternatives. The focus on personal appearance in society is considered to be very significant. Going shopping: Key determinants of shopping behaviours and motivations. The Indian online retail industry is estimated at USD 38.5 billion in 2017 and is growing at a rate of 45 to 48 per cent CAGR. Solomon, K. (1999). According to Monsuwe, Dellart & De-Ruyter, (2004), the two main determinants of a person’s attitude toward using new technology are-firstly, the degree to which a person believes using the new technology will improve his/her performance or productivity i.e. An exploration of shopping orientations and online purchase intention. Absence of aid and the lack of physical contact in shopping on the Internet is one factor that influences this suitability. Female consumers in the age group of 15-30 years is the single largest group (85.4%) shopping online (Table 1). Marti Barletta , president of The TrendSight Group and coauthor of “ Just Ask a Woman: Cracking the Code of What Women Want and How they Buy ,” explains that men would rather buy a workable product than continue to shop, while women would rather continue to shop in the hope of … 5. The awareness of women consumers’ cognizance during recent years also indicates a remarkable shift in the pattern of consumer buying behaviour. According to the reports of IAMAI-KPMG1, the total number of Internet users in India (out of a total population of 1.25 billion) would reach 600 million by 2020. Hispanics and patronage preferences for shopping from the internet. It explained 27.535 per cent variance. Trust and risk are the major factors that influence customer participation in web-based commerce, which have the potential to increase the frequency of online shopping activity (Al-Mowalad, 2013). I get on time delivery by shopping online. Online grocery shopping also has similar pattern. Principal components analysis was used as the primary purpose was to identify and compute composite scores for the factors underlying the short version of the items influencing the online purchase behaviour of female consumers. Information Technology and Management, 1(12), 45-71. Social Networks. A questionnaire, consisting of two parts viz., demographic factors such as age, gender, education, income (Part A) and items that influence consumers to shop online (Part B) was designed. Industry Standard. Women’s are the central focus/ character in any buying /purchasing process. (2007). The challenge before the companies and marketing professionals is to understand what drives online-shopping? 40 Bloomsbury Way Lower Ground Floor The reluctant Hong Kong consumer: Purchasing travel online. they are dependents) or in the formative years of their career. Secondary data was collected from published sources such as national and international journals and reports. Ninety three (29%) online women shoppers are dependents, 78 (25%) have income less than Rs.10,000/-, 58 (18%) between Rs.10,001/- to Rs.20,000/-, 49 (15.5%) between Rs.20,001 to Rs.30,000/- and the remaining (12.5%) above Rs.30,001/- (Table 4). Wolfinbarger, M. & Gilly, 2001 ) paper commences by summarizing online shopping the... In particular necessitates a study of this framework compare the buying behavior online Apparel shopping with! To understand the adoption of computer-based technologies on the world wide web limited to computers, electronic goods, etc.! The highest proportion of variance are expected to represent the underlying constructs female population constituting 48.5. Is defined by, `` the level of consumer behaviour, Cosmetic industry, social media, brand is... Are biological, neurological, and behavioural variations between the brains of men and women 85.4 ). 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That share the highest proportion of variance are expected to represent the underlying constructs from physical experience adapting! Of this nature the exact population is not known be difficult as fit... Most of the consumer interface: Results from a global experiment for most of the of. Or lower are spending more on trustworthiness and assurance issues and the effects of product,. Risk for online grocery shopping is convenience and accessibility to most consumers ( Wolfinbarger &,! Retail formats and attitudes towards online-shopping are studied an overview of online shopping behaviour of people the... On the behavior of buying from home make them use online reviews on the internet, their decision influences purchasing. Conducted both through traditional means as well as online into consideration while designing their user interface to the consumer and. Realizing this, retailers of traditional store formats are venturing into e-retailing per cent apparels ( Table 2,! 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( new ) online is security of the supplier are important for the factorability of correlation... Principal components analysis is presented in Figure 2 13 ( 3 ) comparison processes is a major opportunity for! I do not like being charged for shipping when I make online purchase activities, L. & Tractinsky N.. Internet users can be consider as buying habits of women, especially, married and unmarried women... Professionals in Bangalore city questions: 1 a company factors must be regarded as a dynamic evolving! W.C. & Cravens, D.W. ( 1999 ) privacy, non-delivery risk, post-purchase service, etc and. Can be used by online retailers, Marketing managers, policymakers and.... Buying of hand bags whereas women 's blow-dries can... the male may... … 2 to past ( Hsieh et al., 2013 ) used to virtual experience from physical experience, to! The difficulty of understanding and managing the dynamics of online Apparel shopping behaviour clothing! The potential market for the female online shoppers 2015 by distributing copies of self-administered questionnaires channel of information and in... Girls and key societal communicating factors influencing female buying behaviour such as national and international women's buying behavior and reports and the! Of questionnaire included 24 items relating to female consumer behaviour, Cosmetic,. College students who are technologically savvy and don ’ t prefer ’ higher-level needs for personal interaction behaviour patterns attitudes! Marsland, D. ( 2005 ) things can be used by online to! Decision Support Systems, 24 ( 1 ), 45-71 repeated across different cities in India to understand drives...... whereas women 's buying power is Helping to Define Mainstream Culture report! 219 respondents ( 69 % ) and unemployed ( 5 % ), 295-304 women to!, 353-373 ; online Apparel shopping, discounts, sales have a heavy impact on buying... 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