Age differences in information finding tasks: Performance and visual exploration strategy with different web page layouts

Etcheverry, Isabelle; Baccino, Thierry; Terrier, Patrice; Marquié, Jean-Claude; Mojahid, Mustapha

doi:10.1016/j.chb.2012.04.005

Cited by 18 publications

(7 citation statements)

References 18 publications

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“…The previous research on banking service found that new communicative solutions were much more preferred among the younger consumers, whereas the older consumer segment (55+) tended to incline towards the traditional ways of communicating with the service provider (Sarel and Marmorstein, 2002). However, as suggested by Etcheverry et al (2012), elderly consumers can transfer their competences acquired in the past while searching for online content (in more general information processing situations). In effect, it should not be so obvious that older consumers perform worse than younger online users.…”

Section: Consumer Generationsdifferent Target Groupsmentioning

confidence: 96%

The influence of perceived media richness of marketing channels on online channel usage

Lipowski

Bondos

2018

BJM

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Purpose The purpose of this paper is to identify the differences in the perceived media richness of three marketing channels by different consumer generations as well as to indicate the importance of the perceived media richness of each of channel for the intention of online use at pre-purchase stage. Design/methodology/approach The study is based on a sample of 1,103 consumers in Poland, which research sample included three generations: Baby Boomers, X generation and Y generation. Computer-assisted personal interview method was used with a standardised questionnaire; the research sample was determined using a quota-random method, with the quotas referring to age and gender and the nature of the place of residence (provincial town, town/city other than a provincial one, or a village) – the structure of the sample was maintained at the regional level. Findings Analysed channels (online, offline, phone) have different perceived media richness. Consumers from different generations can perceive media richness of the same marketing channels in various ways. Perceived media richness of the analysed marketing channels has an impact on the intention to use the channel online. Research limitations/implications First, the fact of blurring differences between consumers generation, particularly X and Y generation. As well the fact that each generation has identified an internal diversity. Second limitation refers to the type of marketing channels included in research. Finally, limitation also applies to spatial extent of the study. The above limitations can also be some directions of future research – taking into account some other marketing channels and verifying the conclusions on other consumer groups. Practical implications General recommendation refers to the need for treating customers in each marketing channel in the same way – immediate response is one of the aspects of this recommended unified customer service in multichannel environment. Online channel communications with customers should be supported by giving consumers more personalised communication via phone, chat and social media. For older consumers, it is recommended to gradually redirect them to an online channel. Information search is a good start for online customer journey, because this channel at the pre-purchase stage is the most useful and least risky for the consumer unfamiliar with online environment. Social implications Better understanding of the needs of different customers generations and their perception of different marketing channel at the pre-purchase stage. Originality/value Identification of intergenerational differences in the perception of media richness of online, phone and offline channels.

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Section: Consumer Generationsdifferent Target Groupsmentioning

confidence: 96%

The influence of perceived media richness of marketing channels on online channel usage

Lipowski

Bondos

2018

BJM

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“…Because cognitive ability, expression ability, and problem-solving ability vary with age, users of different ages behave differently when searching for information on the web (Slone, 2004;Etcheverry et al, 2012). Although Gerjets and Hellenthal-Schorr (2008) did not find that eighth-grade students were more competent at searching for information on the internet than seventh-grade students, Kafai and Bates (1997) reported in their study of elementary students' internet use that younger students had more difficulty in finding the relevant information resources.…”

Section: Literature Reviewmentioning

confidence: 99%

An empirical study on Chinese adolescents’ web search behavior

Cai

2016

Journal of Documentation

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Purpose – The purpose of this paper is to explore the web search behavior of adolescents from a Chinese secondary school and the factors affecting this behavior. Design/methodology/approach – A controlled experiment was conducted to collect data on adolescents’ background and their web search behavior. A total of 48 students were asked to perform three different search tasks on the internet within a limited time, and were then interviewed by researchers. Findings – The results revealed three characteristics of Chinese adolescents’ main behavior during the search process: mental set during the search process, poor information search skills, and poor ability to process the search results. In addition, this research found that cognitive style had only minor influence on students’ use of embedded links. However, grade and task type had a significant impact on their search performance and behavior. In general, high school students performed better than middle school students, and adolescents acted differently when completing different tasks. Originality/value – This research sheds light on Chinese middle and high school students’ search behavior on the web. It also investigates how cognitive style, grade, and task type influence students’ online search behavior.

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“…However, many studies have shown that older adults experience more difficulties in searching for and finding information compared to younger adults. They often take longer time, find fewer correct answers compared to younger adults, and they utilize inefficient search strategies (e.g., Aula, 2005;Chevalier, Dommes, & Martins, 2013;Czaja, Sharit, Ownby, Roth, & Nair, 2001;Etcheverry, Baccino, Terrier, Marquié, & Mojahid, 2012;Sharit, Hernandez, Czaja, & Pirolli, 2008;van Deursen & Van Dijk, 2009). Searching for information on the Web often requires the use of search engines, such as Google or Yahoo!, among others.…”

Section: Introductionmentioning

confidence: 98%

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

Chevalier

Dommès²,

Marquié

2015

Computers in Human Behavior

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Age differences in information finding tasks: Performance and visual exploration strategy with different web page layouts

Cited by 18 publications

References 18 publications

The influence of perceived media richness of marketing channels on online channel usage

The influence of perceived media richness of marketing channels on online channel usage

An empirical study on Chinese adolescents’ web search behavior

Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions

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