The emotions aroused by a vocational transition in adolescents: why,when and how are they socially shared with significant others?     

Vignoli  Emmanuelle  Nils  Frédéric  Parmentier  Michaël  Mallet  Pascal  Rimé  Bernard 《International Journal for Educational and Vocational Guidance》2020,20(3):567-589

International Journal for Educational and Vocational Guidance - Adolescents (N = 359) completed a self-report questionnaire assessing the emotional impact of an...  相似文献   

Identifying the value of data analytics in the context of government supervision: Insights from the customs domain     

Boriana Rukanova  Yao-Hua Tan  Micha Slegt  Marcel Molenhuis  Ben van Rijnsoever  Jonathan Migeotte  Mathieu L.M. Labare  Krunoslav Plecko  Bora Caglayan  Gavin Shorten  Otis van der Meij  Suzanne Post 《Government Information Quarterly》2021,38(1):101496

eCommerce, Brexit, new safety and security concerns are only a few examples of the challenges that government organisations, in particular customs administrations, face today when controlling goods crossing borders. To deal with the enormous volumes of trade customs administrations rely more and more on information technology (IT) and risk assessment, and are starting to explore the possibilities that data analytics (DA) can offer to support their supervision tasks. Driven by customs as our empirical domain, we explore the use of DA to support the supervision role of government. Although data analytics is considered to be a technological breakthrough, there is so far only a limited understanding of how governments can translate this potential into actual value and what are barriers and trade-offs that need to be overcome to lead to value realisation. The main question that we explore in this paper is: How to identify the value of DA in a government supervision context, and what are barriers and trade-offs to be considered and overcome in order to realise this value? Building on leading models from the information system (IS) literature, and by using case studies from the customs domain, we developed the Value of Data Analytics in Government Supervision (VDAGS) framework. The framework can help managers and policy-makers to gain a better understanding of the benefits and trade-offs of using DA when developing DA strategies or when embarking on new DA projects. Future research can examine the applicability of the VDAGS framework in other domains of government supervision.  相似文献