Attitude and age differences in online buying

Sorce, Patricia; Perotti, Victor; Widrick, Stanley

doi:10.1108/09590550510581458

Cited by 271 publications

(194 citation statements)

References 10 publications

(18 reference statements)

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“…The older generation is not comfortable with Internet, thus they avoid online insurance Web sites. Our research supports the research of Sorce et al , 69 which states that older customers have to be enticed to use Internet. They do not know what to expect from the online Web sites, thus for them the alternatives are few and may fi nd the physical presence of the insurance agents more assuring than the ' virtual entity ' of insurance fi rm.…”

Section: Findings and Discussionsupporting

confidence: 79%

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Customer behavior toward online insurance services in India

Khare

Dixit²,

Chaudhary³

et al. 2012

J Database Mark Cust Strategy Manag

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Arpita Khareis a Faculty in the Indian Institute of Management Rohtak, India. She has a MBA degree in Marketing and D.Phil in International Management from the University of Allahabad. With over 14 years of academic and research experience, her research interests span consumer behaviour, retailing, services marketing and supply chain management and she has authored a number of research papers in international and national journals. Saumya Dixit , Ruchi Chaudhary , Priyanka Kochhar and Shruti Mishraare MBA students at the Indian Institute of Information Technology, Allahabad.ABSTRACT The use of web-based technologies as a service delivery medium has added new elements to service dissemination. Escalation in self-service technologies has provided customers with multiple choice for using services offered by an organization. The online service attributes of ' convenience ' and ' ease of use ' are being given priority by companies for designing web-based services. In India, online shopping in general and online insurance services in particular, are yet to gain momentum. A large population still remains skeptical about its relative advantage over the traditional delivery channels. Limited Internet accessibility coupled with low technology literacy makes customers suspicious about online insurance services. The current research was directed toward understanding Indian customers ' behavior toward using online insurance services. Correlation, ANOVA and multiple regression tests were run to understand customer behavior. The results suggest that improvement in technological attributes of online insurance Web sites can enhance customers ' service usage.

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Section: Findings and Discussionsupporting

confidence: 79%

“…68 The older customers do not feel comfortable with online insurance services and may have to be motivated to try out online services. 69 This result in two more hypotheses that we intend to test:…”

Section: Service Attributesmentioning

confidence: 99%

Customer behavior toward online insurance services in India

Khare

Dixit²,

Chaudhary³

et al. 2012

J Database Mark Cust Strategy Manag

View full text Add to dashboard Cite

show abstract

“…They provided empirical evidence of the concepts put forward by Tauber [43] and Hirschman and Holbrook [44]. While utilitarian values such as convenience [1,19,38,[46][47][48] and price [28,49] have a rational dimension, hedonistic values such as enjoyment and entertainment [28,38,44,47,50] are of a more affective nature. Nevertheless, these values can be applied to online shopping experiences that provide the hedonic values of enjoyment and fun via users' interactions with the online store.…”

Section: Methodsmentioning

confidence: 99%

Deal or No Deal? - Asessing the Daily Deal Shopper

Beurer-Zuellig¹,

Seiler²

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Indicatively, in the context of web retailing, Vijayasarathy [75] reported that users' general acceptance of the internet affected their shopping behavior accordingly. Similarly, Farag et al [21] and Sorce et al [66] showed that demographics play an important role in the shopping adoption process, while Vrechopoulos et al [78] found significant differences between VWs' retail store selection criteria in terms of the importance consumers attach to them.…”

Section: Research Hypotheses Formulationmentioning

confidence: 99%

Store selection criteria and sales prediction in virtual worlds

Krasonikolakis

Vrechopoulos

Pouloudi

2014

Information & Management

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Virtual worlds (VWs) have emerged as a new context for gaming, collaboration, social networking but also commercial activity. This paper focuses on the latter, and investigates how consumers behave in this virtual context when selecting stores they visit or buy from. The paper explores store selection criteria in virtual world stores and extends earlier research in both offline and online commercial environments, taking into account the novel IT capabilities that VWs exploit. Theoretical insights drawn from the marketing and information systems literature have been used to guide the design of a survey conducted in the virtual world Second Life. In addition to identifying the factors influencing store selection, the paper investigates how these differ between shoppers and non-shoppers, and identifies the factors that affect the amount of money spent in virtual world shopping environments. The findings suggest that ''Core Store Features'' and ''Security and Privacy'' constitute the most important store selection factors in virtual environments and that sales in VWs are predicted by the frequency of visiting and the time spent within VWs' stores. Virtual world dynamics and motivation for the studyA Virtual World (VW) is defined as a "computer-simulated three-dimensional (3D) environment" [11, p.525]. Virtual Worlds have been developed since the last decade, exploiting the available information and Internet technology capabilities, attracting increasing numbers of users. Some of these worlds can be accessed through a web browser, while others require downloading and using specialized software. The origin of VWs is considered to be both social networking and gaming [52]. Some VWs started as games and consequently adopted new services, capabilities and even their own virtual currency. The variety of activities and possibilities depends on each VW's orientation (e.g., education, socialization, entertainment, commerce, etc). Several VWs develop and grow dynamically through their inhabitants' (i.e., users') actions.Users in a VW interact [45] with others through their "avatar", "a representation of the user as an animated character in virtual worlds" [47, p.17], and engage in numerous activities such as information sharing, talking with friends or finding new friends, playing games, creating new services, building virtual objects, buying and selling goods, and so on. They can communicate with others through synchronous text messages, voice chat, e-mails, or videoconferencing.Retailing activity also gained momentum in VWs, with users buying and selling virtual or real products [34]. Recent studies suggest that Virtual Commerce (V-Commerce) should be considered as a totally new and well promising retailing channel [27,28,78]. According to Kzero [41], the revenues in VWs reached $6 billion in 2012 and by 2018, VWs will have been one of the most important business platforms [35]. The overall consumer virtual reality market over the five year period of 2014 to 2018 will worth $16.2 bn, with an average compound ann...

show abstract

Attitude and age differences in online buying

Cited by 271 publications

References 10 publications

Customer behavior toward online insurance services in India

Customer behavior toward online insurance services in India

Deal or No Deal? - Asessing the Daily Deal Shopper

Store selection criteria and sales prediction in virtual worlds

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