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Media users daily exchange personal data for “free” personalised media. Is this a fair trade, or user “exploitation”? Do personalisation benefits outweigh privacy risks?

This study surveyed experts in three consecutive online rounds (e-Delphi). The authors explored personal data processing value for media, personalisation relevance, benefits and risks for users. The authors scrutinised the value-exchange between media and users and determined whether media communicate transparently, or use “dark patterns” to obtain more personal data.

Communication to users must be clear, correct and concise (prevent user deception). Experts disagree on “payment” with personal data for “free” personalised media. This study discerned obstacles and solutions to substantially balance the interests of media and users (fair value exchange). Personal data processing must be transparent, profitable to media and users. Media can agree “sector-wide” on personalisation transparency. Fair, secure and transparent information disclosure to media is possible through shared responsibility and effort.

This study’s innovative contribution is threefold: Firstly, focus on professional stakeholders’ opinion in the value network. Secondly, recommendations to clearly communicate personalised media value, benefits and risks to users. This allows media to create codes of conduct that increase user trust. Thirdly, expanding literature explaining how media realise personal data value, deal with stakeholder interests and position themselves in the data processing debate. This research improves understanding of personal data value, processing benefits and potential risks in a regional context and European regulatory framework.

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.

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.

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.

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.

This paper aims to focus on how innovative strategies take users into account. On the one hand, it will look at how the different stakeholders in the TV value network implement user behaviour. On the other hand, it will focus on how users perceive traditional advertising and new advertising formats (e.g. personalised advertising, interactive advertising).

The applied research method is a combination of expert interviews with different actors in the TV sector and qualitative user research on viewers’ expectations towards advertising and new advertising formats in a digital era.

This paper looks at customer ownership, (inter-media) audience fragmentation and audience autonomy as important concepts in understanding innovation and strategies within the Flemish commercial TV sector and how user behaviour is implemented.

More specifically, ad skipping (zipping) and second-screen applications are studied. To conclude, the findings of the research are linked to relevant policy questions and challenges for audience members and actors within the television industry.

This paper examines whether employee-driven practices of reverse mentoring and job crafting lead to work engagement and, in turn, to higher levels of prospective mental and physical health.

Integrating social exchange theory and the job demands and resources model as theoretical frameworks, survey data were collected from 369 Indian software developers to test the research model. Latent variable structural equation modeling was used to empirically test the hypothesized associations.

The findings reveal that both reverse mentoring and job crafting are significantly associated with work engagement. Work engagement fully mediated the negative relationship between 1) reverse mentoring and mental ill-health and 2) job crafting and physical ill-health, while it partially mediated the negative relationship between 1) reverse mentoring and physical ill-health and 2) job crafting and mental ill-health.

The results demonstrate that by implementing the practices of reverse mentoring and job crafting, managers can achieve desired levels of engagement among employees and sustain organizational productivity by promoting employee health and well-being.

This study is one of the early attempts to empirically demonstrate the associated health outcomes of reverse mentoring and job crafting.

We aim to elucidate the relationship between fixed-term employment and firm productivity by examining workers’ skills and considering how firm-level conversion rates influence this relationship.

We use longitudinal employer-employee data between 2011 and 2017 in the Netherlands to estimate a nonlinear regression derived from a production function proposed by Addessi (2014) and Castellani et al. (2020).

The contribution of fixed-term contracts to firm-level productivity is less than that of permanent contracts. However, this contribution is greater when firms exhibit a high conversion rate from fixed-term to permanent positions. The effect of the conversion rate is more substantial for high-skilled fixed-term workers than for low-skilled ones.

Our results suggest the extent to which firms benefit from fixed-term contracts when these are used for screening high-skilled workers for permanent employment.