Internet shopping adoption by Greek consumers

Vrechopoulos, Adam P.; Siomkos, George J.; Doukidis, Georgios I.

doi:10.1108/14601060110399306

Cited by 108 publications

(98 citation statements)

References 8 publications

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“…Age is inversely related to e-shopping in a non-linear manner; people up to the age of 40 are inclined to buy online, while the probability of buying online decreases after that age (Vrechopoulos et al, 2001;Farag et al, 2003). Not surprisingly, individuals with a higher income and education shop online more often (Casas et al, 2001;Vrechopoulos et al, 2001;Sim and Koi, 2002). Other factors appear to be inconclusive.…”

Section: Background Literaturementioning

confidence: 99%

“…Previous study has shown that in general, most online buyers are male; however, most online grocery shoppers are female (Casas et al, 2001;Vrechopoulos et al, 2001;Morganosky and Cude, 2000;Raijas, 2002;Farag et al, 2003). Age is inversely related to e-shopping in a non-linear manner; people up to the age of 40 are inclined to buy online, while the probability of buying online decreases after that age (Vrechopoulos et al, 2001;Farag et al, 2003). Not surprisingly, individuals with a higher income and education shop online more often (Casas et al, 2001;Vrechopoulos et al, 2001;Sim and Koi, 2002).…”

Section: Background Literaturementioning

confidence: 99%

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E‐Shopping and its Relationship with In‐store Shopping: Empirical Evidence from the Netherlands and the USA

2006

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Section: Background Literaturementioning

confidence: 99%

Section: Background Literaturementioning

confidence: 99%

E‐Shopping and its Relationship with In‐store Shopping: Empirical Evidence from the Netherlands and the USA

2006

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“…Price Price of the product being an important factor affecting online buying behavior, prices of the web store should not be higher than those of the physical stores. There have been evidence by researchers where internet shoppers don't prefer to buy online if the prices are higher (Vrechopoulos et al, 2001). Customer seek abundant choice and low price from online stores (Khan et al, 2015).…”

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

“…They compared users and the non-users of EGSs and found that consumers prefer an electronic channel over a traditional one because of lower price-level, better service and information. Vrechopoulos et al, (2001) suggested virtual retailers to offer personalized shopping environments according to their customers' specific needs and wishes because provision of a one-to-one instead of a one-to-many shopping experience constitutes a critical success factor. Another important factor is provision of alternative payment methods.…”

Section: Phase I (From 1997-2000)mentioning

confidence: 99%

A Review of Factors Affecting Online Buying Behavior

Kalia¹,

Kaur²,

Singh³

2018

APEEJAY

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Since the onset of e-commerce, e-businesses have always been interested in knowing what propels their customers. An extensive literature review has been cast around the said reason to identify factors affecting online buying behavior. Twenty-six factors have been identified initially, out of which price; convenience; security; information; enjoyment; access and tangibility/ sensation have been found to be most cited. These factors have been further explored to examine their implications in managerial decision making. Managerial implications have been discussed at the end. This review will help businesses and academicians to build basic foundation while proposing a strategy or systematic study focusing on online buying behavior. Keywords Online Buying Behavior, E-Commerce, Online Shopping IntroductionEver since commerce started, businesses have always tried to identify and understand factors influencing consumer buying behavior. Therefore, consumer behavior is not a new phenomenon. Marketers have used consumer behavior theories to attract and retain their customers. Later, advent of internet and e-commerce led to the phenomenon called "online consumer behavior". It is expected that more than 2 billion individuals worldwide will purchase goods and services from the web, up from 1.46 billion digital buyers in 2015 (Statista.com, 2016). Over last few years' different online consumer behavior models have been developed to understand and predict the wide range of decisions that consumers make based on the background of customer profile, online shop profile, and other intervening factors. However, researchers have suggested that as compared to traditional consumer behavior, online behaviors of consumers are subtlety different in nature because of unique characteristics and interplay of technology, culture and differences in diffusion of e-commerce (Chau et al., 2002). Therefore, this study undertakes extensive literature review to identify factors affecting online buying behavior and offers foundational work to businesses and academicians. Literature Review Seventy-four studies related to online consumer behavior under this literature review have been sourced from well-known publishers and reputed conference proceedings. Research published in past two decades (from 1997 to 2016) is sorted in four phases i

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“…In contrast, information for experience goods is rather complex and too costly to gather by modes other than direct experience (eg perishables, clothes, and shoes). These attributes of products not only have an impact on the choice for a searching mode but also on the choice for a channel (Farag, 2006;Hjorthol, 2009;Lee, 2002;Vrechopoulos et al, 2001). The choice for a delivery mode depends on the size, weight, and price of products, and on how perishable they are (Rotem-Mindali and Salomon, 2009).…”

Section: Decomposing Shoppingmentioning

confidence: 99%

Decomposing, Transforming, and Contextualising (e)-Shopping

Dijst

Kwan

Schwanen

2009

Environ Plann B Plann Des

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Decomposing, transforming, and contextualising (e)-shopping Introduction Although shopping in a store or market place is an activity that has already existed for thousands of years, e-shopping, or the business-to-consumer segment of e-commerce, is a relatively new phenomenon in the world of retailing. Internet-based e-commerce originated around 1995 with the use of the Internet for commercial transactions by Dell, Cisco, and Amazon (Leyshon et al, 2005). Owing to the widespread use of personal computers and (broadband) Internet access, opportunities to buy online at home have expanded enormously in recent years. Brynjolfsson and colleagues (2003;2007) have examined those opportunities from an economic perspective, showing that the Internet offers the possibility to expand enormously the variety of products that can be produced, promoted, and purchased. Owing to limited stock capacity, only the most popular books CDs, DVDs, clothes, electronics, and other products are sold in brick-and-mortar stores. In contrast, owing to lower search costs, the Internet offers the platform for almost any product, however small the demand is. This tail of the supply of products seems to be infinitely long.These technological and economic developments in the supply of online products are particularly embraced by males, the highly educated, those on high income, and young people up to the age of 35 years with positive attitudes towards e-shopping (Farag et al, 2003;2006). These consumers are largely responsible for the sales of online retailers. In the US the total online retail spending increased from $31 billion in 2001 to $100 billion in 2006. The largest shares of online purchases in total retail spending are attained by computer hardware and software (38%); consumer electronics (27%); tickets (17%); and books, videos, and music (15%) (US Census Bureau, 2008a). Although there are considerable variations among countries, the total distance sales (including online and catalogue sales) in Europe are growing steadily (EMOTA, 2008). It is estimated that in the US the turnover will at least double in the next five years (US Census Bureau, 2008b).Although at present consumers make only a modest percentage of their purchases via the web, the developments in the world of e-commerce inspired the well-known expert in e-commerce, Mokhtarian (2004, page 258), to speculate on the future meaning of e-commerce:``Indications are that e-commerce, in some form and at some level, is here to stayöin many contexts it is quite clearly superior to the old way of doing business.'' These developments and expectations leave us with a large set of questions, including: What are the factors that determine the adoption of e-shopping? What are the relationships between the different shopping modes? What is the impact of e-shopping on in-store shopping and travel? What are the implications of e-shopping for the retailing structure? At this stage we are rather short on answers to these and other questions.Our ability to answer these questions is severely hampe...

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Internet shopping adoption by Greek consumers

Cited by 108 publications

References 8 publications

E‐Shopping and its Relationship with In‐store Shopping: Empirical Evidence from the Netherlands and the USA

E‐Shopping and its Relationship with In‐store Shopping: Empirical Evidence from the Netherlands and the USA

A Review of Factors Affecting Online Buying Behavior

Decomposing, Transforming, and Contextualising (e)-Shopping

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