65 research outputs found

    Towards a Characterization of Digitalization Projects in the Context of Organizational Transformation

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    Background: The digital transformation (DT) disrupts companies across all industries, forcing them to rethink and adjust their value creation. The necessity to adapt to a digital future seems clear; however, many companies still struggle with “becoming digitally transformed”. While existing literature shows that projects can play a crucial role in realizing DT, we have a limited understanding of these projects. Therefore, we investigate these digitalization projects by asking: How are digitalization projects in the context of organizational transformation characterized and how do they contribute to organizations’ DT? With this study, we provide an initial characterization of these digitalization projects and advance the understanding of their importance for the overall DT process. Method: With our qualitative multiple-case study, we analyze five projects that were carried out in highly heterogenous contexts based on 27 semi-structured interviews. Subsequent to the individual analysis of each case, we draw insights from a cross-case comparison and identify common characteristics that distinguish digitalization projects in the context of DT. Results: Our analysis reveals that despite digitalization projects are manifesting in different forms, they are predominantly characterized by their embeddedness in and contribution to an overarching DT process, their derivation from a central DT strategy, the central role of digital innovation in these projects, the integration of technology and business perspectives on a project level, and the application of novel project methods. Conclusions: Digitalization projects in the context of DT can differ from traditional IT projects and thus need dedicated management approaches. We contribute to literature by elaborating an initial, theoretically sound characterization of these digitalization projects. In addition, we offer valuable insights to practitioners regarding how these digitalization projects can be recognized and managed successfully. Available at: https://aisel.aisnet.org/pajais/vol12/iss3/2

    Auswirkungen von COVID-19 auf Digitalisierungsprogramme in deutschen Unternehmen

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    Feasibility, effectiveness and safety of the self-management intervention deprexis in routine medical care: Results of an uncontrolled observational study

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    Introduction: Numerous RCTs have demonstrated the effectiveness of internet-based self-management interventions (SMIs) in the treatment of depressive symptoms. These studíes often recruit outside routine clinical practice. For the present study, we investigated the feasibility, effectiveness and safety of an SMI (deprexis) in routine medical care using a non-interventional design. Methods: A total of 104 patients with a depressive disorder (60.58% female, mean age 45.82 yrs) were recruited in 25 outpatient practices in Germany (mostly psychiatric practices, n = 16). They received 12 week access to the SMI in addition to their usual care (76.0% took concomitant antidepressant medication). Guidance could optionally be offered by the treating physician. The effectiveness of the intervention was assessed using the clinician-rated short version of the Montgomery Asberg-Depression Scale (svMADRS) and the Patient Health Questionnaire (PHQ-9), a self-rating for depressive symptoms. Outcomes were assessed at baseline as well as at weeks 3, 6, 9 and 12. Results: Most patients reported using the intervention at least once (n = 87, 83.6%), among these users the mean number of sessions was 18.05 (SD = 11.33). Only a minority of patients received the guided version of the intervention (n = 7, 8.0%). The severity of depressive symptoms decreased significantly over the observation period from 29.72 (SD = 10.03) to 15.73 (SD = 9.74) for the svMADRS (Cohen's d = 1.42, 95% CI 0.08–2.76) and from 15.20 (SD = 5.03) to 8.77 (SD = 5.03) for the PHQ-9 (d = 1.29, 95% CI 0.60–1.97). Discussion: The size of the pre-post effect on depressive symptoms observed in this study is comparable to the pre-post effect size reported in an RCT using the same intervention in patients suffering from depressive symptoms of the same severity. Limitations of this study include the lack of a control group and the fact that the recruitment rate was far lower than expected. Conclusion: This non-interventional study conducted in outpatient practices confirms results from numerous RCTs. Taken together, these data show that deprexis can be used effectively and safely in the routine care of depressed outpatients

    Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units

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    Confronted with the imperatives of an increasingly digital world, organizations are challenged to maintain the exploitation of existing revenue sources while simultaneously exploring novel paths for a digital future. One option to manage this organizational ambidexterity and to foster innovation activities within the companies is to implement digital units. However, although the introduction of digital units has increasingly become common practice for organizations, a high uncertainty about the nature of such units remains. Therefore, we develop a taxonomy to characterize digital units by building on pertinent literature in the fields of digital transformation, organizational ambidexterity, and organizational design. In combination with employing a qualitative-empirical research approach, we contribute to existing literature by offering an initial characterization of digital units and a first empirical application of our taxonomy. We also provide descriptive findings on digital units in practice and offer insights for companies that consider to implement such specific units

    Vesicle transport and growth dynamics in Aspergillus niger: Microscale modeling of secretory vesicle flow and centerline extraction from confocal fluorescent data

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    In this paper, we present a mathematical model to describe filamentous fungal growth based on intracellular secretory vesicles (SVs), which transport cell wall components to the hyphal tip. Vesicular transport inside elongating hyphae is modeled as an advection–diffusion–reaction equation with a moving boundary, transformed into fixed coordinates, and discretized using a high‐order weighted essentially nonoscillatory discretization scheme. The model describes the production and the consumption of SVs with kinetic functions. Simulations are subsequently compared against distributions of SVs visualized by enhanced green fluorescent protein in young Aspergillus niger hyphae after germination. Intensity profile data are obtained using an algorithm scripted in ImageJ that extracts mean intensity distributions from 3D time‐lapse confocal measurement data. Simulated length growth is in good agreement with the experimental data. Our simulations further show that a decrease of effective vesicle transport velocity towards the tip can explain the observed tip accumulation of SVs.DFG, 273937032, SPP 1934: Dispersitäts-, Struktur- und Phasenänderungen von Proteinen und biologischen Agglomeraten in biotechnologischen ProzessenTU Berlin, Open-Access-Mittel – 202

    Understanding and controlling filamentous growth of fungal cell factories: Novel tools and opportunities for targeted morphology engineering

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    Filamentous fungal cell factories are efficient producers of platform chemicals, proteins, enzymes and natural products. Stirred-tank bioreactors up to a scale of several hundred m³ are commonly used for their cultivation. Fungal hyphae self-assemble into various cellular macromorphologies ranging from dispersed mycelia, loose clumps, to compact pellets. Development of these macromorphologies is so far unpredictable but strongly impacts productivities of fungal bioprocesses. Depending on the strain and the desired product, the morphological forms vary, but no strain- or product-related correlations currently exist to improve process understanding of fungal production systems. However, novel genomic, genetic, metabolic, imaging and modelling tools have recently been established that will provide fundamental new insights into filamentous fungal growth and how it is balanced with product formation. In this primer, these tools will be highlighted and their revolutionary impact on rational morphology engineering and bioprocess control will be discussed.DFG, 315305620, Untersuchung des Einflusses von Scherkräften auf das morphogenetische Gennetzwerk, die Zellintegrität, mikroskopische und makroskopische Morphologie von Aspergillus niger sowie Bildungsraten intra- und extrazellulärer ProdukteDFG, 315384307, Verallgemeinerte morphologische Modellierung aggregierender, filamentöser MikroorganismenDFG, 315457657, Untersuchung und Modellierung der mechanischen und Oberflächen-induzierten Beanspruchung von Pellets filamentöser Mikroorganismen am Beispiel von Lechevalieria aerocolonigenesTU Berlin, Open-Access-Mittel – 202

    Can One Trust Quantum Simulators?

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    Various fundamental phenomena of strongly-correlated quantum systems such as high-TcT_c superconductivity, the fractional quantum-Hall effect, and quark confinement are still awaiting a universally accepted explanation. The main obstacle is the computational complexity of solving even the most simplified theoretical models that are designed to capture the relevant quantum correlations of the many-body system of interest. In his seminal 1982 paper [Int. J. Theor. Phys. 21, 467], Richard Feynman suggested that such models might be solved by "simulation" with a new type of computer whose constituent parts are effectively governed by a desired quantum many-body dynamics. Measurements on this engineered machine, now known as a "quantum simulator," would reveal some unknown or difficult to compute properties of a model of interest. We argue that a useful quantum simulator must satisfy four conditions: relevance, controllability, reliability, and efficiency. We review the current state of the art of digital and analog quantum simulators. Whereas so far the majority of the focus, both theoretically and experimentally, has been on controllability of relevant models, we emphasize here the need for a careful analysis of reliability and efficiency in the presence of imperfections. We discuss how disorder and noise can impact these conditions, and illustrate our concerns with novel numerical simulations of a paradigmatic example: a disordered quantum spin chain governed by the Ising model in a transverse magnetic field. We find that disorder can decrease the reliability of an analog quantum simulator of this model, although large errors in local observables are introduced only for strong levels of disorder. We conclude that the answer to the question "Can we trust quantum simulators?" is... to some extent.Comment: 20 pages. Minor changes with respect to version 2 (some additional explanations, added references...

    Prevalence of amyloid PET positivity in dementia syndromes: a meta-analysis

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    IMPORTANCE: Amyloid-β positron emission tomography (PET) imaging allows in vivo detection of fibrillar plaques, a core neuropathological feature of Alzheimer disease (AD). Its diagnostic utility is still unclear because amyloid plaques also occur in patients with non-AD dementia. OBJECTIVE: To use individual participant data meta-analysis to estimate the prevalence of amyloid positivity on PET in a wide variety of dementia syndromes. DATA SOURCES: The MEDLINE and Web of Science databases were searched from January 2004 to April 2015 for amyloid PET studies. STUDY SELECTION: Case reports and studies on neurological or psychiatric diseases other than dementia were excluded. Corresponding authors of eligible cohorts were invited to provide individual participant data. DATA EXTRACTION AND SYNTHESIS: Data were provided for 1359 participants with clinically diagnosed AD and 538 participants with non-AD dementia. The reference groups were 1849 healthy control participants (based on amyloid PET) and an independent sample of 1369 AD participants (based on autopsy). MAIN OUTCOMES AND MEASURES: Estimated prevalence of positive amyloid PET scans according to diagnosis, age, and apolipoprotein E (APOE) ε4 status, using the generalized estimating equations method. RESULTS: The likelihood of amyloid positivity was associated with age and APOE ε4 status. In AD dementia, the prevalence of amyloid positivity decreased from age 50 to 90 years in APOE ε4 noncarriers (86% [95% CI, 73%-94%] at 50 years to 68% [95% CI, 57%-77%] at 90 years; n = 377) and to a lesser degree in APOE ε4 carriers (97% [95% CI, 92%-99%] at 50 years to 90% [95% CI, 83%-94%] at 90 years; n = 593; P < .01). Similar associations of age and APOE ε4 with amyloid positivity were observed in participants with AD dementia at autopsy. In most non-AD dementias, amyloid positivity increased with both age (from 60 to 80 years) and APOE ε4 carriership (dementia with Lewy bodies: carriers [n = 16], 63% [95% CI, 48%-80%] at 60 years to 83% [95% CI, 67%-92%] at 80 years; noncarriers [n = 18], 29% [95% CI, 15%-50%] at 60 years to 54% [95% CI, 30%-77%] at 80 years; frontotemporal dementia: carriers [n = 48], 19% [95% CI, 12%-28%] at 60 years to 43% [95% CI, 35%-50%] at 80 years; noncarriers [n = 160], 5% [95% CI, 3%-8%] at 60 years to 14% [95% CI, 11%-18%] at 80 years; vascular dementia: carriers [n = 30], 25% [95% CI, 9%-52%] at 60 years to 64% [95% CI, 49%-77%] at 80 years; noncarriers [n = 77], 7% [95% CI, 3%-18%] at 60 years to 29% [95% CI, 17%-43%] at 80 years. CONCLUSIONS AND RELEVANCE: Among participants with dementia, the prevalence of amyloid positivity was associated with clinical diagnosis, age, and APOE genotype. These findings indicate the potential clinical utility of amyloid imaging for differential diagnosis in early-onset dementia and to support the clinical diagnosis of participants with AD dementia and noncarrier APOE ε4 status who are older than 70 years
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