Critical factors in electronic grocery shopping

Raijas, Anu; Tuunainen, Virpi Kristiina

doi:10.1080/713770596

Cited by 64 publications

(42 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The quality, quantity and presentation of information is very important to attract and retain customers (Raijas and Tuunainen, 2001). To encourage customers to place an order, it's important for e-retailer to provide sufficient information .…”

Section: Informationmentioning

confidence: 99%

“…While comparing various online service quality scales, Kalia (2017) observed that security, website design, information, reliability, privacy, responsiveness, access, ease of use, customer service and personalization are the consistently cited dimensions. Cha, 2011;Helander et al, 1997;Jarvenpaa & Todd, 1997;Keeney, 1999;Yang & Jun, 2008Access Balto, 2000Helander et al, 1997;Karayanni, 2003;Li et al, 1999;Mukherjee & Nath, 2007;Phau & Poon, 2000;Quester & Chong, 2001;Wolfinbarger & Gilly, 2001;Yang & Jun, 2008Availability Gounaris et al, 2005Helander & Khalid, 2000;Keeney, 1999;Lin, Cassaigne, & Huan, 2010;Yang & Jun, 2008Convenience Bellman et al, 1999Bhatnagar et al, 2000;Foucault & Scheufele, 2002;Gounaris et al, 2005;Martin G. Helander & Khalid, 2000;Karayanni, 2003;Khan et al, 2015;Li et al, 1999;Lohse & Spiller, 1998;Raijas & Tuunainen, 2001;Sin & Tse, 2002;Wolfinbarger & Gilly, 2001Enjoyment Cha, 2011Hassanein & Head, 2007;Helander & Khalid, 2000;Keeney, 1999;Koufaris, 2002;Swilley & Goldsmith, 2013;W...…”

Section: Phase IV (From 2011-2016)mentioning

confidence: 99%

“…They suggested that B2C e-commerce can be profitably introduced or promoted along similar dimensions in socio-geographically and technologically similar situations. Raijas and Tuunainen (2001) found that typical customers in an electronic grocery store (EGS) in Finland are wealthy dual-career families with small children, who live around large cities, who want to save their time and effort. 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.…”

Section: Phase I (From 1997-2000)mentioning

confidence: 99%

“…This will allow consumers to save shipping and handling fees . A reduction in delivery cost will increase willingness to buy from e-shop (Liao and Cheung, 2001;Raijas and Tuunainen, 2001). Secondly, e-retailers may offer discounts, as consumer prefer price promotions over every-day low pricing because it gives them greater sense of economic control and gain.…”

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

“…one click purchase approach by Amazon (Bellman et al, 1999). Its recommended that designers should keep the web interface easy to use, products should be easily searchable (Raijas and Tuunainen, 2001), text should be succinct and short aiding scan ability through informative headlines, white space should be judiciously used, there should be multiple level of headings with color text as visual cues (Lohse and Spiller, 1998), web page should consume less memory, download faster (Sin and Tse, 2002) and it should be designed to reduce risk perception (Bhatnagar et al, 2000). Marketers should stress themes like time saving, convenience, rapid service and inconvenience aspects of traditional shopping in their communication (Karayanni, 2003).…”

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

See 4 more Smart Citations

A Review of Factors Affecting Online Buying Behavior

Kalia¹,

Kaur²,

Singh³

2018

APEEJAY

View full text Add to dashboard Cite

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

show abstract

Section: Informationmentioning

confidence: 99%

Section: Phase IV (From 2011-2016)mentioning

confidence: 99%

Section: Phase I (From 1997-2000)mentioning

confidence: 99%

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

Section: Conclusion and Managerial Implicationsmentioning

confidence: 99%

See 3 more Smart Citations

A Review of Factors Affecting Online Buying Behavior

Kalia¹,

Kaur²,

Singh³

2018

APEEJAY

View full text Add to dashboard Cite

show abstract

Determining the impact of internet channel use on a customer's lifetime

Boehm

2008

Journal of Interactive Marketing

View full text Add to dashboard Cite

In light of mature markets and increasing competitive pressure, retaining the existing customer base becomes crucial for the future success of a firm. As a consequence, firms are increasingly interested in understanding the factors influencing and driving customer retention. One factor that is hypothesized to have an impact on customer retention is the growing use of the Internet channel. Firms are interested in understanding whether and how the Internet use induces a change in customer retention. The aim of this paper is to empirically quantify the impact of Internet use on customer retention when accounting for potentially present self-selection. Furthermore, the paper will derive managerial implications on how to use customer channel migration to improve overall customer retention. The results of the empirical study indicate a strong positive impact of Internet use on customer retention. Hence, migrating customers to the Internet channel has the potential to increase overall retention rates.

show abstract