6 research outputs found

    When workplace unionism in global value chains does not function well : exploring the impediments

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    Improving working conditions at the bottom of global value chains has become a central issue in our global economy. In this battle, trade unionism has been presented as a way for workers to make their voices heard. Therefore, it is strongly promoted by most social standards. However, establishing a well-functioning trade union is not as obvious as it may seem. Using a comparative case study approach, we examine impediments to farm-level unionism in the cut flower industry in Ethiopia. For this purpose, we propose an integrated framework combining two lenses, namely a vertical one (governance and structure of global value chains) and a horizontal one (socio-economic context). We identify 10 impediments that point to three major dimensions contributing to unionisation. These three dimensions include awareness of and interest from workers, legitimacy of trade unions, and capacity of trade unions to act. Furthermore, our results suggest that private social standards may, in certain cases, be counterproductive for the efficient functioning of trade unions. Although we argue that there is no ‘quick fix’ solution to weak workplace unionism at the bottom of global value chains, we stress the importance of considering the dynamics of, and interactions between, the impediments when designing potential support measures that mitigate negative impacts

    Coordinating knowledge creation: A systematic literature review on the interplay between operational excellence and industry 4.0 technologies

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    In the process of creating new knowledge, literature has scarcely studied how bodies of knowledge arising from different sources should be coordinated to enhance performance. In particular, the present research focuses on two sources of newly created knowledge, i.e., operational excellence and Industry 4.0, to understand whether they should be implemented sequentially or simultaneously. Operational excellence refers to the implementation of practices such as just in time, total quality management, and Six Sigma that help a firm to create knowledge that facilitates waste reduction and customer value improvement. Industry 4.0 refers to the implementation of new technologies such as artificial intelligence, big data, robotics, Internet of Things, and laser cutting that help a firm to create knowledge to improve overall business performance. We identified and analyzed 30 papers published in 13 peer-reviewed journals and conference proceedings in the field of operations management. Our findings based on the systematic literature review suggest that the interplay between operational excellence and Industry 4.0 can be categorized into four groups: (1) Industry 4.0 supports operational excellence; (2) operational excellence supports Industry 4.0; (3) complementary; and (4) no interdependence. Majority of the papers under study are in the first category, suggesting Industry 4.0 technologies as enabler of operational excellence

    The genetics of attention deficit/hyperactivity disorder in adults, a review

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    Item does not contain fulltextThe adult form of attention deficit/hyperactivity disorder (aADHD) has a prevalence of up to 5% and is the most severe long-term outcome of this common neurodevelopmental disorder. Family studies in clinical samples suggest an increased familial liability for aADHD compared with childhood ADHD (cADHD), whereas twin studies based on self-rated symptoms in adult population samples show moderate heritability estimates of 30-40%. However, using multiple sources of information, the heritability of clinically diagnosed aADHD and cADHD is very similar. Results of candidate gene as well as genome-wide molecular genetic studies in aADHD samples implicate some of the same genes involved in ADHD in children, although in some cases different alleles and different genes may be responsible for adult versus childhood ADHD. Linkage studies have been successful in identifying loci for aADHD and led to the identification of LPHN3 and CDH13 as novel genes associated with ADHD across the lifespan. In addition, studies of rare genetic variants have identified probable causative mutations for aADHD. Use of endophenotypes based on neuropsychology and neuroimaging, as well as next-generation genome analysis and improved statistical and bioinformatic analysis methods hold the promise of identifying additional genetic variants involved in disease etiology. Large, international collaborations have paved the way for well-powered studies. Progress in identifying aADHD risk genes may provide us with tools for the prediction of disease progression in the clinic and better treatment, and ultimately may help to prevent persistence of ADHD into adulthood
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