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2. |
- Zaborowski, AM, et al.
(author)
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Microsatellite instability in young patients with rectal cancer: molecular findings and treatment response
- 2022
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In: The British journal of surgery. - : Oxford University Press (OUP). - 1365-2168 .- 0007-1323. ; 109:3, s. 251-255
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Journal article (peer-reviewed)abstract
- In this study of 400 patients with early-onset rectal cancer, 12.5 per cent demonstrated microsatellite instability (MSI). MSI was associated with a reduced likelihood of nodal positivity, an increased rate of pathological complete response, and improved disease-specific survival.
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3. |
- Schneider, P. A., et al.
(author)
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The dependence of confinement on the isotope mass in the core and the edge of AUG and JET-ILW H-mode plasmas
- 2022
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In: Nuclear Fusion. - : IOP Publishing. - 0029-5515 .- 1741-4326. ; 62:2
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Journal article (peer-reviewed)abstract
- Experiments in ASDEX Upgrade (AUG) and JET with the ITER-like wall (JET-ILW) are performed to separate the pedestal and core contributions to confinement in H-modes with different main ion masses. A strong isotope mass dependence in the pedestal is found which is enhanced at high gas puffing. This is because the ELM type changes when going from D to H for matched engineering parameters, which is likely due to differences in the inter ELM transport with isotope mass. The pedestal can be matched in H and D plasmas by varying only the triangularity and keeping the engineering parameters relevant for core transport the same. With matched pedestals Astra/TGLF (Sat1geo) core transport simulations predict the experimental profiles equally well for H and D. These core transport simulations show a negligible mass dependence and no gyro-Bohm scaling is observed. However, to match the experimental observations at medium beta it is required to take the fast-ion dilution and rotation into account. This is not enough for high beta plasmas where for the first time a profile match between H and D plasmas was achieved experimentally. Under these conditions quasilinear modelling with TGLF over predicts the transport in the core of H and D plasmas alike.
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4. |
- Luen, S J, et al.
(author)
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Genomic characterisation of hormone receptor-positive breast cancer arising in very young women.
- 2023
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In: Annals of oncology : official journal of the European Society for Medical Oncology. - : Elsevier BV. - 1569-8041. ; 34:4, s. 397-409
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Journal article (peer-reviewed)abstract
- Very young premenopausal women diagnosed with hormone receptor-positive, HER2-negative (HR+HER2-) early breast cancer (EBC) have higher rates of recurrence and death for reasons that remain largely unexplained.Genomic sequencing was applied to HR+HER2- tumours from patients enrolled in the SOFT clinical trial to determine genomic drivers that are enriched in young premenopausal women. Genomic alterations were characterised using next-generation sequencing from a subset of 1,276 patients (deep targeted sequencing, N=1258; whole-exome sequencing in a young-age, case-control subsample, N=82). We defined copy number (CN) subgroups and assessed for features suggestive of homologous recombination deficiency (HRD). Genomic alteration frequencies were compared between young premenopausal women (<40 years) and older premenopausal women (≥40 years), and assessed for associations with distant recurrence-free interval (DRFI), and overall survival (OS).Younger women (<40 years, N=359) compared with older women (≥40 years, N=917) had significantly higher frequencies of mutations in GATA3 (19%vs16%) and CN-amplifications (47%vs26%), but significantly lower frequencies of mutations in PIK3CA (32%vs47%), CDH1 (3%vs9%), and MAP3K1 (7%vs12%). Additionally, significantly higher frequencies of features suggestive of HRD (27%vs21%), and a higher proportion of PIK3CA mutations with concurrent CN-amplifications (23%vs11%).Genomic features suggestive of HRD, PIK3CA mutations with CN-amplifications, and CN-amplifications associated with significantly worse DRFI and OS compared with those without these features. These poor prognostic features were enriched in younger patients: present in 72% of patients aged <35 years, 54% aged 35-39 years, and 40% ≥40 years. Poor prognostic features (N=584[46%]) vs none (N=692[54%]) had an 8-year DRFI of 84%vs94% and OS of 88%vs96%. Younger women (<40) had the poorest outcomes: 8-year DRFI 74%vs85% and OS of 80%vs93% respectively.These results provide insights into genomic alterations that are enriched in young women with HR+HER2-EBC, provide rationale for genomic subgrouping, and highlight priority molecular targets for future clinical trials.
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5. |
- Valovič, M., et al.
(author)
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Fuelling of deuterium-tritium plasma by peripheral pellets in JET experiments
- 2024
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In: Nuclear Fusion. - : IOP Publishing. - 0029-5515 .- 1741-4326. ; 64:7
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Journal article (peer-reviewed)abstract
- A baseline scenario of deuterium-tritium (D-T) plasma with peripheral high-field-side fuelling pellets has been produced in JET in order to mimic the situation in ITER. The isotope mix ratio is controlled in order to target the value of 50%-50% by a combination of tritium gas puffing and deuterium pellet injection. Multiple factors controlling the fuelling efficiency of individual pellets are analysed, with the following findings: (1) prompt particle losses due to pellet-triggered edge-localised modes (ELMs) are detected, (2) the plasmoid drift velocity might be smaller than that predicted by simulation, (3) post-pellet particle loss is controlled by transient phases with ELMs.The overall pellet particle flux normalised to the heat flux is similar to that in previous pellet fuelling experiments in AUG and JET.
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6. |
- Benavides, Raquel, et al.
(author)
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The GenTree Leaf Collection : Inter- and intraspecific leaf variation in seven forest tree species in Europe
- 2021
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In: Global Ecology and Biogeography. - : John Wiley & Sons. - 1466-822X .- 1466-8238. ; 30:3, s. 590-597
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Journal article (peer-reviewed)abstract
- Motivation Trait variation within species can reveal plastic and/or genetic responses to environmental gradients, and may indicate where local adaptation has occurred. Here, we present a dataset of rangewide variation in leaf traits from seven of the most ecologically and economically important tree species in Europe. Sample collection and trait assessment are embedded in the GenTree project (EU-Horizon 2020), which aims at characterizing the genetic and phenotypic variability of forest tree species to optimize the management and sustainable use of forest genetic resources. Our dataset captures substantial intra- and interspecific leaf phenotypic variability, and provides valuable information for studying the relationship between ecosystem functioning and trait variability of individuals, and the response and resilience of species to environmental changes. Main types of variable contained We chose morphological and chemical characters linked to trade-offs between acquisition and conservation of resources and water use, namely specific leaf area, leaf size, carbon and nitrogen content and their ratio, and the isotopic signature of stable isotope C-13 and N-15 in leaves. Spatial location and grain We surveyed between 18 and 22 populations per species, 141 in total, across Europe. Time period Leaf sampling took place between 2016 and 2017. Major taxa and level of measurement We sampled at least 25 individuals in each population, 3,569 trees in total, and measured traits in 35,755 leaves from seven European tree species, i.e. the conifers Picea abies, Pinus pinaster and Pinus sylvestris, and the broadleaves Betula pendula, Fagus sylvatica, Populus nigra and Quercus petraea. Software format The data files are in ASCII text, tab delimited, not compressed.
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7. |
- Opgenoorth, Lars, et al.
(author)
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The GenTree Platform : growth traits and tree-level environmental data in 12 European forest tree species
- 2021
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In: GigaScience. - : Oxford University Press. - 2047-217X. ; 10:3
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Journal article (peer-reviewed)abstract
- Background: Progress in the field of evolutionary forest ecology has been hampered by the huge challenge of phenotyping trees across their ranges in their natural environments, and the limitation in high-resolution environmental information.Findings: The GenTree Platform contains phenotypic and environmental data from 4,959 trees from 12 ecologically and economically important European forest tree species: Abies alba Mill. (silver fir), Betula pendula Roth. (silver birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra L. (Swiss stone pine), Pinus halepensis Mill. (Aleppo pine), Pinus nigra Arnold (European black pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (European black poplar), Taxus baccata L. (English yew), and Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, environmental in situ measurements (soil depth, vegetation cover, competition indices), and environmental modeling data extracted by using bilinear interpolation accounting for surrounding conditions of each tree (precipitation, temperature, insolation, drought indices) were obtained from trees in 194 sites covering the species' geographic ranges and reflecting local environmental gradients.Conclusion: The GenTree Platform is a new resource for investigating ecological and evolutionary processes in forest trees. The coherent phenotyping and environmental characterization across 12 species in their European ranges allow for a wide range of analyses from forest ecologists, conservationists, and macro-ecologists. Also, the data here presented can be linked to the GenTree Dendroecological collection, the GenTree Leaf Trait collection, and the GenTree Genomic collection presented elsewhere, which together build the largest evolutionary forest ecology data collection available.
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9. |
- Climent, J. B., et al.
(author)
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VLTI-PIONIER imaging of the red supergiant V602 Carinae
- 2020
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In: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 635
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Journal article (peer-reviewed)abstract
- Context. Red supergiant stars possess surface features and extended molecular atmospheres. Photospheric convection may be a crucial factor of the levitation of the outer atmospheric layers. However, the mechanism responsible is still poorly understood.Aims. We image the stellar surface of V602 Carinae (V602 Car) to constrain the morphology and contrast of the surface features and of the extended atmospheric layers.Methods. We observed V602 Car with the Very Large Telescope Interferometer PIONIER instrument (1.53-1.78 mu m) between May and July 2016, and April and July 2019 with different telescope configurations. We compared the image reconstructions with 81 temporal snapshots of 3D radiative-hydrodynamics (RHD) (COBOLD)-B-5 simulations in terms of contrast and morphology, using the Structural Similarity Index.Results. The interferometric data are compatible with an overall spherical disk of angular diameter 4.4 0.2 mas, and an extended molecular layer. In 2016, the reconstructed image reveals a bright arc-like feature toward the northern rim of the photospheric surface. In 2019, an arc-like feature is seen at a different orientation and a new peak of emission is detected on the opposite side. The contrasts of the reconstructed surface images are 11% +/- 2% and 9% +/- 2% for 2016 and 2019, respectively. The morphology and contrast of the two images are consistent with 3D RHD simulations, within our achieved spatial resolution and dynamic range. The extended molecular layer contributes 10-13% of the total flux with an angular diameter of 6-8 mas. It is present but not clearly visible in the reconstructed images because it is close to the limits of the achieved dynamic range. The presence of the molecular layer is not reproduced by the 3D RHD simulations.Conclusions. 3D RHD simulations predict substructures similar to the observed surface features of V602 Car at two different epochs. We interpret the structure on the stellar surface as being related to instationary convection. This structure is further convolved to larger observed patches on the stellar surface with our observational spatial resolution. Even though the simulations reproduce the observed features on the stellar surface, convection alone may not be the only relevant process that is levitating the atmosphere.
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13. |
- Gómez-Climent, M. Á, et al.
(author)
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Olfactory bulbectomy, but not odor conditioned aversion, induces the differentiation of immature neurons in the adult rat piriform cortex
- 2011
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In: Neuroscience. - : Elsevier. - 0306-4522 .- 1873-7544. ; 181:5, s. 18-27
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Journal article (peer-reviewed)abstract
- The piriform cortex layer II of young-adult rats presents a population of prenatally generated cells, which express immature neuronal markers, such as the polysialylated form of the neural cell adhesion molecule (PSA-NCAM) or doublecortin (DCX), and display structural characteristics of immature neurons. The number of PSA-NCAM/DCX expressing cells in this region decreases markedly as age progresses, suggesting that these cells differentiate or die. Since the piriform cortex receives a major input from the olfactory bulb and participates in olfactory information processing, it is possible that the immature neurons in layer II are affected by manipulations of the olfactory bulb or olfactory learning. It is not known whether these cells can be induced to differentiate and, if so, what would be their fate. In order to address these questions, we have performed unilateral olfactory bulbectomy (OBX) and an olfactory learning paradigm (taste-potentiated odor aversion, TPOA), in young-adult rats and have studied the expression of different mature and immature neuronal markers, as well as the presence of cell death. We have found that 14 h after OBX there was a dramatic decrease in the number of both PSA-NCAM and DCX expressing cells in piriform cortex layer II, whereas that of cells expressing NeuN, a mature neuronal marker, increased. By contrast, the number of cells expressing glutamate decarboxylase, isoform 67 (GAD67), a marker for interneurons, decreased slightly. Additionally, we have not found evidence of numbers of dying cells high enough to justify the disappearance of immature neurons. Analysis of animals subjected to TPOA revealed that this paradigm does not affect PSA-NCAM expressing cells. Our results strongly suggest that OBX can induce the maturation of immature neurons in the piriform cortex layer II and that these cells do not become interneurons. By contrast, these cells do not seem to play a crucial role in olfactory memory.
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14. |
- Martinez-Sancho, Elisabet, et al.
(author)
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The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe
- 2020
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In: Scientific Data. - : NATURE PUBLISHING GROUP. - 2052-4463. ; 7
-
Journal article (peer-reviewed)abstract
- The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios.
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16. |
- Akrong, Grace, et al.
(author)
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A New Pharmacokinetic-Pharmacodynamic Model To Characterize the Inoculum Effect of Acinetobacter baumannii on Polymyxin B In Vitro
- 2022
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In: Antimicrobial Agents and Chemotherapy. - : American Society for Microbiology. - 0066-4804 .- 1098-6596. ; 66:1
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Journal article (peer-reviewed)abstract
- The inoculum effect (i.e., reduction in antimicrobial activity at large starting inoculum) is a phenomenon described for various pathogens. Given that limited data exist regarding inoculum effect of Acinetobacter baumannii, we evaluated killing of A. baumannii by polymyxin B, a last-resort antibiotic, at several starting inocula and developed a pharmacokinetic-pharmacodynamic (PKPD) model to capture this phenomenon. In vitro static time-kill experiments were performed using polymyxin B at concentrations ranging from 0.125 to 128 mg/L against a clinical A. baumannii isolate at four starting inocula from 10(5) to 10(8) CFU/mL. Samples were collected up to 30 h to quantify the viable bacterial burden and were simultaneously modeled in the NONMEM software program. The expression of polymyxin B resistance genes (lpxACD, pmrCAB, and wzc), and genetic modifications were studied by RT-qPCR and DNA sequencing experiments, respectively. The PKPD model included a single homogeneous bacterial population with adaptive resistance. Polymyxin B effect was modeled as a sigmoidal E-max model and the inoculum effect as an increase of polymyxin B EC50 with increasing starting inoculum using a power function. Polymyxin B displayed a reduced activity as the starting inoculum increased: a 20-fold increase of polymyxin B EC50 was observed between the lowest and the highest inoculum. No effects of polymyxin B and inoculum size were observed on the studied genes. The proposed PKPD model successfully described and predicted the pronounced in vitro inoculum effect of A. baumannii on polymyxin B activity. These results should be further validated using other bacteria/antibiotic combinations and in vivo models.
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17. |
- Arregi, Igor, et al.
(author)
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Retinol dehydrogenase-10 regulates pancreas organogenesis and endocrine cell differentiation via paracrine retinoic acid signaling
- 2016
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In: Endocrinology. - : The Endocrine Society. - 0013-7227 .- 1945-7170. ; 157:12, s. 4615-4631
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Journal article (peer-reviewed)abstract
- Vitamin A-derived retinoic acid (RA) signals are critical for the development of several organs, including the pancreas. However, the tissue-specific control of RA synthesis in organ and cell lineage development has only poorly been addressed in vivo. Here, we show that retinol dehydrogenase-10 (Rdh10), a key enzyme in embryonic RA production, has important functions in pancreas organogenesis and endocrine cell differentiation. Rdh10 was expressed in the developing pancreas epithelium and surrounding mesenchyme. Rdh10 null mutant mouse embryos exhibited dorsal pancreas agenesis and a hypoplastic ventral pancreas with retarded tubulogenesis and branching. Conditional disruption of Rdh10 from the endoderm caused increased mortality, reduced body weight, and lowered blood glucose levels after birth. Endodermal Rdh10 deficiency led to a smaller dorsal pancreas with a reduced density of early glucagonβ and insulinβ cells. During the secondary transition, the reduction of Neurogenin3β endocrine progenitors in the mutant dorsal pancreas accounted for fewer β-and α-cells. Changes in the expression of β-and α-cellspecific transcription factors indicated that Rdh10 might also participate in the terminal differentiation of endocrine cells. Together, our results highlight the importance of both mesenchymal andepithelialRdh10forpancreogenesisandthefirstwaveofendocrinecell differentiation.Wefurther propose a model in which the Rdh10-expressing exocrine tissue acts as an essential source ofRAsignals in the second wave of endocrine cell differentiation.
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18. |
- Costa Climent, Ricardo, et al.
(author)
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Financing Start-Ups Through Artificial Intelligence
- 2022
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In: Financing Startups. - Cham : Springer. - 9783030940577 - 9783030940584 - 9783030940607 ; , s. 149-162
-
Book chapter (peer-reviewed)abstract
- The incredible speed with which artificial intelligence (AI) is entering all sectors is forcing companies into a race to link their businesses with AI. This trend is also driving companies, strategists, pioneers, entrepreneurs and researchers to use AI to design new strategies, create new sources of business value and manage innovative forms of financing. This scenario accurately describes the current situation of start-ups. New firms are forced to connect with AI in order to develop, either because of its importance for their products or services or because funders use it to make investment or purchase decisions. Therefore, to define the impact of AI on the financing of start-ups, we must differentiate between two contexts: the financing of technological start-ups based on AI and the use of AI by investors and funders to support the most cutting-edge and profitable start-ups. This chapter begins with an introduction to start-ups, the diversification of financial activities and the coherence of these new models with existing theoretical business frameworks that explain outcomes. Subsequently, it investigates the theory on AI in start-ups, providing real examples of emerging companies that illustrate these two contexts. The chapter provides examples of AI-based start-ups that have already been financed and companies that use AI to support the development of start-ups through either financial investment or logistical support.
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20. |
- Costa-Climent, Ricardo, 1972-, et al.
(author)
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Using machine learning to create and capture value in the business models of small and medium-sized enterprises
- 2023
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In: International Journal of Information Management. - : Elsevier. - 0268-4012 .- 1873-4707. ; 73
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Journal article (peer-reviewed)abstract
- Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theoretical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning.
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21. |
- Costa-Climent, Ricardo, et al.
(author)
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Value creation and appropriation from the use of machine learning : a study of start-ups using fuzzy-set qualitative comparative analysis
- 2023
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In: The International Entrepreneurship and Management Journal. - : Springer. - 1554-7191 .- 1555-1938.
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Journal article (peer-reviewed)abstract
- This study focuses on how start-ups use machine learning technology to create and appropriate value. A firm’s use of machine learning can activate data network effects. These data network effects can then create perceived value for users. This study examines the interaction between the activation of data network effects by start-ups and the value that they are able to create and appropriate based on their business model. A neo-configurational approach built on fuzzy-set qualitative comparative analysis (fsQCA) explores how the design of a firm’s business model interacts with various aspects to explain value creation and appropriation using machine learning. The study uses a sample of 122 European start-ups created between 2019 and 2022. It explores the system of interactions between business model value drivers and value creation factors under the theory of data network effects. The findings show that start-ups primarily activate the efficiency and novelty elements of value creation and value capture.
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22. |
- Costa Climent, Ricardo, et al.
(author)
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Value creation through omnichannel practices for multi-actor customers : an evolutionary view
- 2022
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In: Journal of Enterprising Communities. - : Emerald Group Publishing Limited. - 1750-6204 .- 1750-6212. ; 16:1, s. 93-118
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Journal article (peer-reviewed)abstract
- PurposeThe purpose of this paper is to investigate the omnichannel practices to porpose a conceptual overview to offer guidance on how to handle their inherent complexities.Design/methodology/approachThis study is based on a literature review of more than 100 academics papers about the multichannel practices and omnichannel practices in the global market.FindingsTo this end, this paper identifies and addresses three limitations of the contemporary omnichannel literature: the failure to articulate the sources of value creation generated by omnichannel practices, the conception of omnichannel as targeting a single customer actor only and the static conception of omnichannel practices. In response to these limitations, this study offers the following: four sources of value creation based on the business model concept, a multi-actor customer conception, where several actors partake in the overall purchase decision and an evolutionary notion of omnichannel practices in terms of their constitution and use as part of the overall evolution of a marketplaceOriginality/valueThe framework presented in this paper provides a map to take new research beyond its current boundaries and an audit tool to help managers identify their firm’s current omnichannel situation, including limitations and opportunities for further development.
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23. |
- Costa Climent, Ricardo, et al.
(author)
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Value creation through the evolution of business model themes
- 2021
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 122, s. 353-361
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Journal article (peer-reviewed)abstract
- A conceptual framework is proposed to examine value creation through the evolution of business model themes. A critical assessment of the literature on business models, business model themes, and their evolution is presented. This assessment highlights the fact that business model themes are typically theorized as being static. Instead, the framework presented here characterizes business models and the business model themes of value creation as co-evolving within an evolving industry. The framework provides a set of propositions that specify how firms can create value by entering an industry, reacting to imitators, and co-evolving with product market strategies and with environmental factors. This study contributes to the literature on value creation through business model themes.
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24. |
- Figueiredo, Nuno M., et al.
(author)
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Optical properties and refractive index sensitivity of reactive sputtered oxide coatings with embedded Au clusters
- 2014
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In: Journal of Applied Physics. - : AIP Publishing. - 0021-8979 .- 1089-7550. ; 115:6, s. 063512-
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Journal article (peer-reviewed)abstract
- In the present study, nanocomposite coatings of Au clusters embedded in two different oxides, TiO2 and Al2O3, were synthesized using pulsed DC magnetron sputtering. The depositions were carried out in three steps, by depositing the oxide, the Au clusters, and again the oxide. The deposition time of the Au clusters was varied in order to achieve different cluster sizes, morphologies, and nanocomposite topographies. The structure, microstructure, morphology, and the optical properties of the coatings were studied. With the increase in Au content, red-shifted surface plasmon resonance (SPR) peaks with higher intensity and increased widths were observed due to changes in the metal clusters sizes and morphology and due to interparticle effects. In order to relate the peculiar SPR extinction bands with the different clusters shapes and distributions, a simulation of the optical properties of the nanocomposites was performed making use of the Renormalized Maxwell-Garnett approach. A theoretical study concerning the refractive index sensitivity was made in order to predict the optimal coatings parameters for sensing experiments. The increased surface area and the strong SPR extinction bands make these coatings suitable for gas sensing and also catalysis, albeit many other application fields can be envisaged.
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27. |
- Haftor, Darek M., 1969-, et al.
(author)
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A pathway to bypassing market entry barriers from data network effects : A case study of a start-up's use of machine learning
- 2023
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 168
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Journal article (peer-reviewed)abstract
- Highly valued firms exploit machine learning to activate data network effects. Data is gathered and analyzed to generate predictions and recommendations. This loop locks in existing service users and locks out potential competitors, thus creating a sizeable entry barrier, particularly for small and medium-sized (SME) enterprises. The literature does not describe the possible pathways to enter markets protected by incumbents’ data network effects. This study examines an SME that successfully entered such a market. A key finding is that, for successful market entry, an SME can focus on different stakeholders from those that are targeted by incumbents, provided such stakeholders can legitimize the SME's use of user data generated by incumbents.
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28. |
- Haftor, Darek M., 1969-, et al.
(author)
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CO2 reduction through digital transformation in long-haul transportation : Institutional entrepreneurship to unlock product-service system innovation
- 2021
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In: Industrial Marketing Management. - : Elsevier. - 0019-8501 .- 1873-2062. ; 94, s. 115-127
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Journal article (peer-reviewed)abstract
- Industrial firms seek to develop offerings that can reduce their negative ecological impact while still being economically viable. Initial studies of these offerings focused on the what and the why. Only recently have studies addressed how to pursue these efforts. The literature generally ignores the underlying mechanisms of how such offerings are created and operated. This paper reports a longitudinal case study of an industrial firm's innovative offering. This offering combines heavy duty vehicles and related services for long-haul transportation. It enables road transportation firms to reduce fuel consumption by one quarter and thereby cut CO2 emissions and fuel costs. A multi-theoretical investigation of that offering contributes to the literature by providing: (i) a rich characterization of an industrial organization's offering that combines economic viability with a much lower negative environmental impact; (ii) a chain of underlying mechanisms that enable such an offering to emerge, including activation of institutional entrepreneurship for industrial entrepreneurship; and (iii) an articulation of the value of using multi-theoretical inquiries of ecological industrial offerings instead of seeking a new isolated theory.
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29. |
- Haftor, Darek M., 1969-, et al.
(author)
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How machine learning activates data network effects in business models : Theory advancement through an industrial case of promoting ecological sustainability
- 2021
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 131, s. 196-205
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Journal article (peer-reviewed)abstract
- A firm’s business model accounts for direct and indirect network effects, where the network size is a key enabler of value creation and appropriation. Additional conception of a business network’s contribution is provided by a recent advancement of the theory of data network effects, where machine learning is used to analyze large data sets to learn, predict, and improve. The more learning there is, the more value is generated, producing ever more data and learning and creating a virtuous circle. For the first time, this study combines the theory of data network effects with business model theory. The contribution lies in extending a business model’s lock-in effects through direct and indirect network effects to encompass data network effects. This paper provides a case study that supports the theoretical advancement and illustrates how this form of machine learning can increase profitability while reducing negative ecological impacts in an industrial context.
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30. |
- Knobel, Katarina, et al.
(author)
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Omnichannel-based value creation through the activation of business model themes : A multi-case exploration of retail firms
- 2024
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In: ESIC Market. - : Fundacion de Estudios Superiores e Investigacion ESIC. - 0212-1867 .- 1989-3574. ; 55:1
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Journal article (peer-reviewed)abstract
- Objective: This study investigates the impact of omnichannel practices in retail, driven by both the challenge of product commodification and the opportunities arising from digital technology adoption by consumers. The primary aim is to understand how these practices enhance customer purchase processes through seamless interactions across multiple channels and contribute to value creation.Methodology: Employing a qualitative multi-case study approach, the research examines 14 retailers to explore the implementation and outcomes of omnichannel practices. This methodology provides in-depth insights into the operational and strategic aspects of omnichannel retailing.Results: The study reveals that omnichannel practices contribute to value creation in four distinct themes: novelty, efficiency, complementarity, and lock-in. Contrary to the prevailing assumption in managerial orthodoxy that primarily associates omnichannel practices with efficiency, this research demonstrates that these practices can be leveraged in a more multifaceted manner. It also shows that activation of these value creation themes is not binary, as previously suggested, but varies in degrees and combinations.Practical Implications: Managers in the retail sector are advised to carefully consider which operational solutions to integrate into their omnichannel practices. This strategic selection should aim to activate a specific combination of value creation themes in a certain order and to a certain degree. The research is limited by its reliance on a qualitative approach and a relatively small sample size of 14 retailers. In the future, independent studies with large empirical and quantitative analyses should be done in order to confirm these insights.
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32. |
- Moussa, Ehab, et al.
(author)
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Proteomic profiling of the brain of mice with experimental cerebral malaria
- 2018
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In: Journal of Proteomics. - : Elsevier BV. - 1874-3919 .- 1876-7737. ; 180, s. 61-69
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Journal article (peer-reviewed)abstract
- Cerebral malaria (CM) is a severe neurological complication of malaria infection in both adults and children. In pursuit of effective treatment of CM, clinical studies, postmortem analysis and animal models have been employed to understand the pathology and identify effective interventions. In this study, a shotgun proteomics analysis was conducted to profile the proteomic signature of the brain tissue of mice with experimental cerebral malaria (ECM) in order to further understand the underlying pathology. To identify CM-associated response, proteomic signatures of the brains of C57/Bl6N mice infected with P. berghei ANKA that developed neurological syndrome were compared to those of mice infected with P. berghei NK65 that developed equally high parasite burdens without neurological signs, and to those of non-infected mice. The results show that the CM-associated response in mice that developed neurological signs comprise mainly acute-phase reaction and coagulation cascade activation, and indicate the leakage of plasma proteins into the brain parenchyma. SIGNIFICANCE: Cerebral malaria (CM) remains a major cause of death in children. The majority of these deaths occur in sub-Saharan Africa. Even with adequate access to treatment, mortality remains high and neurological sequelae can be found in up to 20% of survivors. No adjuvant treatment to date has been shown to reduce mortality and the pathophysiology of CM is largely unknown. Experimental cerebral malaria (ECM) is a well-established model that may contribute to identify and test druggable targets. In this study we have identified the disruption of the blood-brain barrier following inflammatory and vascular injury as a mechanism of disease. In this study we report a number of proteins that could be validated as potential biomarkers of ECM. Further studies, will be required to validate the clinical relevance of these biomarkers in human CM.
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