Introducing a corporate concept into organisational practices: a case study of domestication and organisational choice

This article discusses a case of introducing and launching a new corporate concept, a so-called company-specific production system (XPS), into an organisation. Such concepts are at present very commonly used, but what does it take to implement a new logic into an existing organisation? As a theoretical point of departure, the process was understood as a process of domestication, where the imported concept moves from being external, general and unfamiliar to becoming internal and known, owned by the organisational culture and embedded in its practices. Domestication is a process where the import has to be rescripted through how the organisation, as individual members and as various collectives, enacts it, makes sense of it and understands it. The organisation in this case study had a rich tradition of participation, and in the process under study, members from most levels and functions were involved in the attempts to transform the general concept into something workable and company-specific. This paper takes a socio-technical design approach, which argues that organisations importing new technology or new organisational concepts are faced with choices, not with something inevitable. The study reveals the challenges of the domestication process and how the organisation faces not one choice but a multiplicity of interdependent choices, and how handling the process calls for an untraditional, complex and participatory approach.publishedVersio

Convolutional neural network for breathing phase detection in lung sounds

We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers. Our algorithm uses a convolutional neural network with spectrograms as the features, removing the need to specify features explicitly. We trained and evaluated the algorithm using three subsets that are larger than previously seen in the literature. We evaluated the performance of the method using two methods. First, discrete count of agreed breathing phases (using 50% overlap between a pair of boxes), shows a mean agreement with lung sound experts of 97% for inspiration and 87% for expiration. Second, the fraction of time of agreement (in seconds) gives higher pseudo-kappa values for inspiration (0.73-0.88) than expiration (0.63-0.84), showing an average sensitivity of 97% and an average specificity of 84%. With both evaluation methods, the agreement between the annotators and the algorithm shows human level performance for the algorithm. The developed algorithm is valid for detecting breathing phases in lung sound recordings

Deliberative and material organizational becoming : Sociotechnical leadership of digital transformation

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CAZyme prediction in ascomycetous yeast genomes guides discovery of novel xylanolytic species with diverse capacities for hemicellulose hydrolysis

Background: Ascomycetous yeasts from the kingdom fungi inhabit every biome in nature. While filamentous fungi have been studied extensively regarding their enzymatic degradation of the complex polymers comprising lignocellulose, yeasts have been largely overlooked. As yeasts are key organisms used in industry, understanding their enzymatic strategies for biomass conversion is an important factor in developing new and more efficient cell factories. The aim of this study was to identify polysaccharide-degrading yeasts by mining CAZymes in 332 yeast genomes from the phylum Ascomycota. Selected CAZyme-rich yeasts were then characterized in more detail through growth and enzymatic activity assays. Results: The CAZyme analysis revealed a large spread in the number of CAZyme-encoding genes in the ascomycetous yeast genomes. We identified a total of 217 predicted CAZyme families, including several CAZymes likely involved in degradation of plant polysaccharides. Growth characterization of 40 CAZyme-rich yeasts revealed no cellulolytic yeasts, but several species from the Trichomonascaceae and CUG-Ser1 clades were able to grow on xylan, mixed-linkage\ua0β-glucan and xyloglucan. Blastobotrys mokoenaii, Sugiyamaella lignohabitans, Spencermartinsiella europaea and several Scheffersomyces species displayed superior growth on xylan and well as high enzymatic activities. These species possess genes for\ua0several putative xylanolytic enzymes, including ones from\ua0the well-studied xylanase-containing glycoside hydrolase families GH10 and GH30, which appear\ua0to be attached to the cell surface. B. mokoenaii was the only species containing a GH11 xylanase, which was shown to be secreted. Surprisingly, no known xylanases were predicted in the xylanolytic species Wickerhamomyces canadensis, suggesting that this yeast possesses novel xylanases. In addition, by examining non-sequenced yeasts closely related to the xylanolytic yeasts, we were able to identify novel species with high xylanolytic capacities. Conclusions: Our approach of combining high-throughput bioinformatic CAZyme-prediction with growth and enzyme characterization proved to be a powerful pipeline for discovery of novel xylan-degrading yeasts and enzymes. The identified yeasts display diverse profiles in terms of growth, enzymatic activities and xylan substrate preferences, pointing towards different strategies for degradation and utilization of xylan. Together, the results provide novel insights into how yeast degrade xylan, which can be used to improve cell factory design and industrial bioconversion processes

The Organization Theories of the Industrial Democracy Experiments Meet Contemporary Organizational Realities

The Scandinavian industrial democracy experiments (IDEs) contained elements of organization theories, based particularly on sociotechnical systems theory (STS). In this paper, we provide an introduction to some main points of these theories and their aftermath, as a context for the six papers of the special issue on the relevance of the organization theories of the IDE for contempo- rary organizational realities.The six papers are also summarized and positioned in relation to the theoretical insights from the IDE.

Yeasts Have Evolved Divergent Enzyme Strategies To Deconstruct and Metabolize Xylan

Together with bacteria and filamentous fungi, yeasts actively take part in the global carbon cycle. Over 100 yeast species have been shown to grow on the major plant polysaccharide xylan, which requires an arsenal of carbohydrate active enzymes. However, which enzymatic strategies yeasts use to deconstruct xylan and what specific biological roles they play in its conversion remain unclear. In fact, genome analyses reveal that many xylan-metabolizing yeasts lack expected xylanolytic enzymes. Guided by bioinformatics, we have here selected three xylan-metabolizing ascomycetous yeasts for in-depth characterization of growth behavior and xylanolytic enzymes. The savanna soil yeast Blastobotrys mokoenaii displays superior growth on xylan thanks to an efficient secreted glycoside hydrolase family 11 (GH11) xylanase; solving its crystal structure revealed a high similarity to xylanases from filamentous fungi. The termite gut-associated Scheffersomyces lignosus, in contrast grows more slowly, and its xylanase activity was found to be mainly cell surface-associated. The wood-isolated Wickerhamomyces canadensis, surprisingly, could not utilize xylan as the sole carbon source without the addition of xylooligosaccharides or exogenous xylanases or even co-culturing with B. mokoenaii, suggesting that W. canadensis relies on initial xylan hydrolysis by neighboring cells. Furthermore, our characterization of a novel W. canadensis GH5 subfamily 49 (GH5_49) xylanase represents the first demonstrated activity in this subfamily. Our collective results provide new information on the variable xylanolytic systems evolved by yeasts and their potential roles in natural carbohydrate conversion. IMPORTANCE Microbes that take part in the degradation of the polysaccharide xylan, the major hemicellulose component in plant biomass, are equipped with specialized enzyme machineries to hydrolyze the polymer into monosaccharides for further metabolism. However, despite being found in virtually every habitat, little is known of how yeasts break down and metabolize xylan and what biological role they may play in its turnover in nature. Here, we have explored the enzymatic xylan deconstruction strategies of three underexplored yeasts from diverse environments, Blastobotrys mokoenaii from soil, Scheffersomyces lignosus from insect guts, and Wickerhamomyces canadensis from trees, and we show that each species has a distinct behavior regarding xylan conversion. These findings may be of high relevance for future design and development of microbial cell factories and biorefineries utilizing renewable plant biomass

Arbeidsmigrasjon og den nordiske modellen: : Møte mellom ulike arbeidspraksiser

Hva skjer med den nordiske modellen når store deler av arbeidsoperasjonene utføres av arbeidsinnvandrere som er midlertidig ansatte? I artikkelen anvendes organisasjonsteoretiske og institusjonelle perspektiver for å utforske hvordan den nordiske modellens premisser på virksomhetsnivå påvirkes av et høyt innslag av arbeidsinnvandrere. Analysen viser at arbeidsmigrantene møter institusjonelle logikker som bryter med arbeidserfaringer de har fra eget hjemland. Dette kan bety at økt arbeidsmigrasjon bidrar til å utfordre den nordiske arbeidslivsmodelle

Occode: an end-to-end machine learning pipeline for transcription of historical population censuses

Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end machine learning pipeline that scales to the dataset size, and a model that achieves high accuracy with few manual transcriptions. In addition, the correctness of the model results must be verified. This paper describes our lessons learned developing, tuning, and using the Occode end-to-end machine learning pipeline for transcribing 7,3 million rows with handwritten occupation codes in the Norwegian 1950 population census. We achieve an accuracy of 97% for the automatically transcribed codes, and we send 3% of the codes for manual verification. We verify that the occupation code distribution found in our result matches the distribution found in our training data which should be representative for the census as a whole. We believe our approach and lessons learned are useful for other transcription projects that plan to use machine learning in production. The source code is available at: https://github.com/uit-hdl/rhd-code

The Organization Theories of the Industrial Democracy Experiments Meet Contemporary Organizational Realities

The Scandinavian industrial democracy experiments (IDEs) contained elements of organization theories, based particularly on sociotechnical systems theory (STS). In this paper, we provide an introduction to some main points of these theories and their aftermath, as a context for the six papers of the special issue on the relevance of the organization theories of the IDE for contempo- rary organizational realities.The six papers are also summarized and positioned in relation to the theoretical insights from the IDE.

Fagarbeiderkompetanse. Kartlegging av dagens og fremtidens kompetansebehov i fagarbeiderrollen, i industri og bygg og anlegg.

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