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1 – 10 of 80Leo Van Audenhove, Lotte Vermeire, Wendy Van den Broeck and Andy Demeulenaere
The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European…
Abstract
Purpose
The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as artificial intelligence. This paper analyses how DigComp 2.2 defines data literacy and how the framework looks at this from a societal lens.
Design/methodology/approach
This study critically examines DigComp 2.2, using the data literacy competence model developed by the Knowledge Centre for Digital and Media Literacy Flanders-Belgium. The examples of knowledge, skills and attitudes focussing on data literacy (n = 84) are coded and mapped onto the data literacy competence model, which differentiates between using data and understanding data.
Findings
Data literacy is well-covered in the framework, but there is a stronger emphasis on understanding data rather than using data, for example, collecting data is only coded once. Thematically, DigComp 2.2 primarily focusses on security and privacy (31 codes), with less attention given to the societal impact of data, such as environmental impact or data fairness.
Originality/value
Given the datafication of society, data literacy has become increasingly important. DigComp is widely used across different disciplines and now integrates data literacy as a required competence for citizens. It is, thus, relevant to analyse its views on data literacy and emerging technologies, as it will have a strong impact on education in Europe.
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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…
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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Jagjit Singh Srai, Gary Graham, Patrick Hennelly, Wendy Phillips, Dharm Kapletia and Harri Lorentz
The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous…
Abstract
Purpose
The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.
Design/methodology/approach
Supply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.
Findings
Three main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.
Practical implications
This study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.
Originality/value
The authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.
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