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1 – 8 of 8As a result of increasingly pervasive public social media use over the past decade, brands and marketers have begun to use internet memes as digital advertising vehicles, with…
Abstract
Purpose
As a result of increasingly pervasive public social media use over the past decade, brands and marketers have begun to use internet memes as digital advertising vehicles, with some using specialized professionals to create memetic ad content. Despite this, little scholarly research on the phenomenon has appeared. This study aims to provide exploratory evidence for how older members of Generation Z (Gen-Z), a digitally native cohort, perceive and regard brands’ use of internet memes as advertisements.
Design/methodology/approach
A series of six focus groups conducted with older Gen-Z undergraduates at a large Western US university yields consonant and dissonant beliefs and perspectives about this emergent and conceivably powerful advertising and marketing practice.
Findings
Participants express that memetic advertising has potential for nonserious, lighthearted brands with a consistent social media presence but less potential for serious brands or brands that try to appropriate meme culture for financial gain. The importance of humor, cultural narratives and social connections as they relate to internet meme culture is inherent in these discussions.
Originality/value
This study joins a small body of work examining the effectiveness, viability and limitations of memetic advertising as an online advertising venture. Implications and prescriptive advice are offered.
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Qiang Yang, Hongxiu Li, Yanqing Lin, Yushi Jiang and Jiale Huo
This research explores the impacts of content-generating devices (mobile phones versus personal computers) and content features (social content and achievement content) on…
Abstract
Purpose
This research explores the impacts of content-generating devices (mobile phones versus personal computers) and content features (social content and achievement content) on consumer engagement with marketer-generated content (MGC) on social media. It also examines these factors' interaction effects on consumer engagement.
Design/methodology/approach
The study analyzed MGC that 210 companies had posted to Sina Weibo over three years, testing the study’s proposed model with negative binomial regression analysis.
Findings
The study's results show that MGC generated via mobile phones attracts more consumer engagement than MGC generated via personal computers. MGC with more social features attracts more consumer engagement, whereas MGC with more achievement features reduces consumer engagement. The authors also found that MGC with more social features generated via mobile phones and MGC with more achievement features generated via personal computers lead to more consumer engagement due to the congruency of the construal level of psychological distance.
Originality/value
This research enriches the literature by exploring the effects of content-generating devices and content features on consumer engagement in the MGC context, which extends the research on consumer engagement with social media from the context of user-generated content to the MGC.
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To explore the future visions outlined in one of the first academic books on UK tourism to venture into tourism futures. Through today’s lens, their visions are explored through…
Abstract
Purpose
To explore the future visions outlined in one of the first academic books on UK tourism to venture into tourism futures. Through today’s lens, their visions are explored through three topics: Future Markets and Destinations; Future Resources; and the Future Organization of Tourism.
Design/methodology/approach
Exploring the backstory, key drivers and tipping points of UK tourism development and tourism education during the 1960s and 1970s, they help to understand the rationale for the authors 1974 future visions of UK tourism. These visions are tested against reality, using a mixture of data, softer evidence and the authors’ judgements.
Findings
Acknowledging the authors showed courage in presenting their future visions, when so little was known about the development of tourism, let alone tourism futures. The article highlights the successes and failures of their future visions across 20 tourism sectors, through 55 tourism forecasts. The reasons for weaknesses in some of their forecasts, and their foresight in highlighting little known issues are explored, along with key learning points for tourism futurists.
Research limitations/implications
The future visions of UK tourism were tested against data and other evidence, but this was not always possible. Therefore, the success or failures of some of the visions are based on the authors’ judgement.
Originality/value
Over the past 50 years, there has been a steady growth in tourism futures studies. Given the recent increase in awareness of history in driving futures thinking, perhaps now is the time to apply this viewpoint to previously published tourism futures studies because such reviews provide a timely reminder of the transient nature of tourism futures gazing.
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