2015
DOI: 10.1108/yc-04-2014-00437
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Communicating across age-groups: variance in consumer attitudes from tweenagers to adults

Abstract: Purpose – This paper aims to study whether age impacts the responses to different communication cues in terms of brand recall, attitude toward advertisement, attitude toward brand and purchase intention, and which age groups respond more favorably to a given cue. Design/methodology/approach – An experimental research was conducted across a sample of 1,050 respondents in Delhi to test variance in consumer attitudes across “tweenagers”, te… Show more

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Cited by 6 publications
(6 citation statements)
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“…Sobel (2010) confirmed the aforementioned results by demonstrating that young SNS users mainly exhibited predominantly negative conative responses. However, Sharma (2015) found that teenager respondents were most positively influenced by pictorial cues for certain product categories in terms of brand recall, purchase intention and attitude towards advertising. Yet, none of the aforementioned inquiries considered age differences within a solitary cohort or amongst Generation Z's attitudes towards FCC in a developing country such as SA.…”
Section: 3mentioning
confidence: 91%
“…Sobel (2010) confirmed the aforementioned results by demonstrating that young SNS users mainly exhibited predominantly negative conative responses. However, Sharma (2015) found that teenager respondents were most positively influenced by pictorial cues for certain product categories in terms of brand recall, purchase intention and attitude towards advertising. Yet, none of the aforementioned inquiries considered age differences within a solitary cohort or amongst Generation Z's attitudes towards FCC in a developing country such as SA.…”
Section: 3mentioning
confidence: 91%
“…This study used quota sampling with equal proportions of men and women (186 each), consistent with the population proportion of Mainland China [2], to preclude the possible influence of sex. Young adult students aged 18-35 years old (O'Cass and Siahtiri, 2014;Sharma, 2015) were chosen as respondents from various regions, including the southeast coast, central, northeast and seven Mainland provinces, because they possess the strongest purchasing power in the Chinese market (Lu and Xu, 2015). Each respondent was randomly assigned one of the two questionnaire editions (iPhone or Nike), resulting in 186 responses for each edition.…”
Section: Samplementioning
confidence: 99%
“…The DMM is rooted in the ELM tradition but was introduced to assess the likelihood of cognitive elaboration in advertising contexts (Lutz et al, 1983). The DMM has been adapted and some theoretical variations proposed (e.g., Coulter, 2005;Karson & Fisher, 2005;Sharma, 2015). However, the fundamental DMM appears to be the one that best explains communication effectiveness (López & Ruiz, 2011;MacKenzie, Lutz, & Belch, 1986) and continues to be an influential conceptual model for researchers (Chen et al, 2008).…”
Section: Sponsorship Activationmentioning
confidence: 99%
“…The model is well constructed, clearly delineating the persuasion process of activation strategy. It is also descriptive and encompassing, explaining the efficacy of activation strategy in diverse purchase contexts involving mobile phones (Chen et al, 2008), casual attire (Coulter, 2005), snacks (Sharma, 2015), travel booking websites (López & Ruiz, 2011), and destination websites (Tang, Jang, & Morrison, 2012). Finally, the model has been cited in some 125 articles and chapters to explain the effectiveness of communication strategies activated by brands (e.g., Pasadeos, Phelps, & Edison, 2008;Schumann, Kotowski, Ahn, & Haugtvedt, 2012).…”
Section: Sponsorship Activationmentioning
confidence: 99%