| 1. |
- Householder, John Ethan, et al.
(author)
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One sixth of Amazonian tree diversity is dependent on river floodplains
- 2024
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In: NATURE ECOLOGY & EVOLUTION. - 2397-334X. ; 8, s. 901-911
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Journal article (peer-reviewed)abstract
- Amazonia's floodplain system is the largest and most biodiverse on Earth. Although forests are crucial to the ecological integrity of floodplains, our understanding of their species composition and how this may differ from surrounding forest types is still far too limited, particularly as changing inundation regimes begin to reshape floodplain tree communities and the critical ecosystem functions they underpin. Here we address this gap by taking a spatially explicit look at Amazonia-wide patterns of tree-species turnover and ecological specialization of the region's floodplain forests. We show that the majority of Amazonian tree species can inhabit floodplains, and about a sixth of Amazonian tree diversity is ecologically specialized on floodplains. The degree of specialization in floodplain communities is driven by regional flood patterns, with the most compositionally differentiated floodplain forests located centrally within the fluvial network and contingent on the most extraordinary flood magnitudes regionally. Our results provide a spatially explicit view of ecological specialization of floodplain forest communities and expose the need for whole-basin hydrological integrity to protect the Amazon's tree diversity and its function.
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| 2. |
- Luize, Bruno Garcia, et al.
(author)
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Geography and ecology shape the phylogenetic composition of Amazonian tree communities
- 2024
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In: JOURNAL OF BIOGEOGRAPHY. - 0305-0270 .- 1365-2699. ; 51:7, s. 1163-1184
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Journal article (peer-reviewed)abstract
- Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and v & aacute;rzea forest types, the phylogenetic composition varies by geographic region, but the igap & oacute; and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R-2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R-2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions.
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| 3. |
- ter Steege, Hans, et al.
(author)
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Mapping density, diversity and species-richness of the Amazon tree flora
- 2023
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In: COMMUNICATIONS BIOLOGY. - 2399-3642. ; 6:1
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Journal article (peer-reviewed)abstract
- Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution. A study mapping the tree species richness in Amazonian forests shows that soil type exerts a strong effect on species richness, probably caused by the areas of these forest types. Cumulative water deficit, tree density and temperature seasonality affect species richness at a regional scale.
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| 4. |
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The Seventeenth Data Release of the Sloan Digital Sky Surveys : Complete Release of MaNGA, MaStar, and APOGEE-2 Data
- 2022
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In: Astrophysical Journal Supplement Series. - : Institute of Physics (IOP). - 0067-0049 .- 1538-4365. ; 259:2
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Journal article (peer-reviewed)abstract
- This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete release of the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which reached its goal of surveying over 10,000 nearby galaxies. The complete release of the MaNGA Stellar Library accompanies this data, providing observations of almost 30,000 stars through the MaNGA instrument during bright time. DR17 also contains the complete release of the Apache Point Observatory Galactic Evolution Experiment 2 survey that publicly releases infrared spectra of over 650,000 stars. The main sample from the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), as well as the subsurvey Time Domain Spectroscopic Survey data were fully released in DR16. New single-fiber optical spectroscopy released in DR17 is from the SPectroscipic IDentification of ERosita Survey subsurvey and the eBOSS-RM program. Along with the primary data sets, DR17 includes 25 new or updated value-added catalogs. This paper concludes the release of SDSS-IV survey data. SDSS continues into its fifth phase with observations already underway for the Milky Way Mapper, Local Volume Mapper, and Black Hole Mapper surveys.
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| 5. |
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| 6. |
- Bousquet, Jean, et al.
(author)
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ARIA digital anamorphosis : Digital transformation of health and care in airway diseases from research to practice
- 2021
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In: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 76:1, s. 168-190
-
Research review (peer-reviewed)abstract
- Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
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| 7. |
- Jacome, Cristina, et al.
(author)
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Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App : Analysis of Real-World, Medium-Term Feasibility Studies
- 2021
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In: Frontiers in Medical Technology. - : Frontiers Media S.A.. - 2673-3129. ; 3
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Journal article (peer-reviewed)abstract
- Background: Poor medication adherence is a major challenge in asthma and objective assessment of inhaler adherence is needed. InspirerMundi app aims to monitor inhaler adherence while turning it into a positive experience through gamification and social support.Objective: We assessed the medium-term feasibility of the InspirerMundi app to monitor inhaler adherence in real-world patients with persistent asthma (treated with daily inhaled medication). In addition, we attempted to identify the characteristics of the patients related to higher app use.Methods: Two real-world multicenter observational studies, with one initial face-to-face visit and a 4-month telephone interview, were conducted in 29 secondary care centers from Portugal. During an initial face-to-face visit, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients took a photo of the medication (inhaler, blister, or others) using the image-based medication detection tool. Medication adherence was calculated as the number of doses taken as a percentage of the number scheduled. Interacting with the app =30 days was used as the cut-off for higher app use.Results: A total of 114 patients {median 20 [percentile 25 to percentile 75 (P25-P75) 16-36] years, 62% adults} were invited, 107 (94%) installed the app and 83 (73%) completed the 4-month interview. Patients interacted with the app for a median of 18 [3-45] days, translated on a median use rate of 15 [3-38]%. Median inhaler adherence assessed through the app was 34 [4-73]% when considering all scheduled inhalations for the study period. Inhaler adherence assessed was not significantly correlated with self-reported estimates. Median adherence for oral and other medication was 41 [6-83]% and 43 [3-73]%, respectively. Patients with higher app use were slightly older (p = 0.012), more frequently taking medication for other health conditions (p = 0.040), and more frequently prescribed long-acting muscarinic antagonists (LAMA, p = 0.024). After 4 months, Control of Allergic Rhinitis and Asthma Test (CARAT) scores improved (p < 0.001), but no differences between patients interacting with the app for 30 days or less were seen.Conclusions: The InspirerMundi app was feasible to monitor inhaler adherence in patients with persistent asthma. The persistent use of this mHealth technology varies widely. A better understanding of characteristics related to higher app use is still needed before effectiveness studies are undertaken.
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| 8. |
- Villa, Ricardo Tadeu, et al.
(author)
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Photoprotection and skin self-examination in primary attention users : The impact of smartphone as a tool for education
- 2020
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In: Journal of Dermatology & Cosmetology. - Edmond, OK, United States : MedCrave Group. - 2574-9943. ; 4:4, s. 92-97
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Journal article (peer-reviewed)abstract
- Introduction: “mobile health” consists in using electronic devices to support health.Objectives: observe photoprotection, skin self-examination and compare the impact of multimedia presentation to Whatsapp messages on these habits in primary attention.Methodology: experimental study, envolving 300 users. First moment: SEPI (Sun Exposure and Protection Index) and SSEAS (Self Skin-Examination Attitudes Scale) were applied and a presentation was performed. Second moment (8 weeks):150 users received photoprotection and self-examination messages. Third moment:300 re-answered questionnaires. Differences were analysed using t test andlinear regression.Results: 39.66% used sunscreen always/frequently and, in intervention, ascended to 47.91% (p=0.0014) without change in control. Self-examination was a priority for 48.67% and increased to 73.91% in control (p=0.0179) and 69.8% (p=0.0001) in intervention, without difference.Conclusion: photoprotection remained low and self-examination became priority for twothirds (without difference between groups).
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| 9. |
- Zaman, Quaid, et al.
(author)
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Water Diffusion Effectsat Gold-Graphene Interfaces Supporting Surface Plasmon Polaritons
- 2022
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In: The Journal of Physical Chemistry C. - : AMER CHEMICAL SOC. - 1932-7447 .- 1932-7455. ; 126:32, s. 13905-13919
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Journal article (peer-reviewed)abstract
- We present a detailed investigation on the effects of water diffusion at the different interfaces of gold-graphene plasmonic sensors on the propagation of the supported surface plasmon polaritons (SPPs). The substrate/metal interfacial chemical reactions are investigated by monitoring the full width at half-maximum of the SPR reflectivity curve. Although protection by single-layer graphene (SLG) grown by chemical vapor deposition inhibits the chemical reactions happening at the metal-dielectric interfaces, SPR experimental results confirm that water diffusion paths through the borders of graphene domains are still present into the plasmonic sensors. Density functional theory calculations show that the doping level of SLG after the transfer on gold as well as interfacial charge transfer can be tuned in the presence of water molecules. On these bases, we propose a simplified effective medium approach for heterogeneous metal-carbon interfaces, where the interaction between the surface atomic layers of the gold thin film, water molecules, and the SLG induces the creation of an extended charge density difference region crossing the Au/H2O/SLG/H2O heterointerface. The latter is modeled as an ultrathin effective medium with a thickness and extraordinary optical susceptivity and conductivity that are different from those of the free-standing graphene. In this context, the extraordinary refractive index and thickness of the graphene-gold effective medium are measured in the near-infrared on the low-damping SPR platforms by applying the two-medium SPR method. The results are coherent with graphene n-doping in water environment, showing that the optically excited electrons along the extraordinary axis have a substantial bonding character and that the enhancement of the sensitivity of the gold-graphene plasmonic sensors is not related to a shift in the plasma frequency of the metal layer but to the changes in the extraordinary polarizability of graphene. The research highlights the importance of the SLG-substrate and SLG-environment interactions in graphene-protected plasmonics and optoelectronics.
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| 10. |
- Amaral, Rita, et al.
(author)
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Profiling Persistent Asthma Phenotypes in Adolescents : A Longitudinal Diagnostic Evaluation from the INSPIRERS Studies
- 2021
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In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 18:3
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Journal article (peer-reviewed)abstract
- We aimed to identify persistent asthma phenotypes among adolescents and to evaluate longitudinally asthma-related outcomes across phenotypes. Adolescents (13-17 years) from the prospective, observational, and multicenter INSPIRERS studies, conducted in Portugal and Spain, were included (n = 162). Latent class analysis was applied to demographic, environmental, and clinical variables, collected at a baseline medical visit. Longitudinal differences in clinical variables were assessed at a 4-month follow-up telephone contact (n = 128). Three classes/phenotypes of persistent asthma were identified. Adolescents in class 1 (n = 87) were highly symptomatic at baseline and presented the highest number of unscheduled healthcare visits per month and exacerbations per month, both at baseline and follow-up. Class 2 (n = 32) was characterized by female predominance, more frequent obesity, and uncontrolled upper/lower airways symptoms at baseline. At follow-up, there was a significant increase in the proportion of controlled lower airway symptoms (p < 0.001). Class 3 (n = 43) included mostly males with controlled lower airways symptoms; at follow-up, while keeping symptom control, there was a significant increase in exacerbations/month (p = 0.015). We have identified distinct phenotypes of persistent asthma in adolescents with different patterns in longitudinal asthma-related outcomes, supporting the importance of profiling asthma phenotypes in predicting disease outcomes that might inform targeted interventions and reduce future risk.
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| 11. |
- Beal, Jacob, et al.
(author)
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Robust estimation of bacterial cell count from optical density
- 2020
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In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Journal article (peer-reviewed)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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| 12. |
- Cesar de Freitas, Artur, et al.
(author)
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Effects of aluminum distearate addition on UO2 sintering and microstructure
- 2022
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In: Progress in nuclear energy (New series). - : Elsevier BV. - 0149-1970 .- 1878-4224. ; 153, s. 104440-104440
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Journal article (peer-reviewed)abstract
- Uranium dioxide (UO2) is widely used as a fuel in commercial nuclear light-water reactors (LWRs). Rigorous control of density, pore, and grain size of UO2 pellets are important prerequisites for fuel performance. Solid lubricants, frequently used in pellets manufacturing, minimize structural defects on compaction such as cracks and end-capping, promoting grain growth during sintering. This work presents and discusses the effects of the aluminum distearate (ADS) addition on the sintering behavior and microstructure of UO2 fuel pellets. UO2 and UO2-0.2wt% ADS pellets were sintered at 1760 °C for 5.7 h for comparison purposes. The results show that the densification rate increases using the solid lubricant, but the shrinkage is lowered by 0.7% due to low homogenization. The average grain size was increased by about 35% during sintering. Based on our results and a literature review, a mechanism for grain growth by aluminum addition is proposed.
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| 13. |
- Chopin, Thierry, et al.
(author)
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Deep-ocean seaweed dumping for carbon sequestration: Questionable, risky, and not the best use of valuable biomass
- 2024
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In: One Earth. - : Elsevier BV. - 2590-3330 .- 2590-3322. ; 7:3, s. 359-364
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Journal article (peer-reviewed)abstract
- Deep-ocean seaweed dumping is not an ecological, economical, or ethical answer to climate-change mitigation via carbon “sequestration.” Without sound science and sufficient knowledge on impacts to these fragile ecosystems, it distracts from more rational and effective blue-carbon interventions. We call for a moratorium on sinking seaweeds to deep-ocean ecosystems until its efficacy is established, and there is robust, evidence-based assessment of its environmental, economic, and societal sustainability.
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| 14. |
- Cormier, Bettie, 1993-, et al.
(author)
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Chemicals sorbed to environmental microplastics are toxic to early life stages of aquatic organisms
- 2021
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In: Ecotoxicology and Environmental Safety. - : Academic Press. - 0147-6513 .- 1090-2414. ; 208
-
Journal article (peer-reviewed)abstract
- Microplastics are ubiquitous in aquatic ecosystems, but little information is currently available on the dangers and risks to living organisms. In order to assess the ecotoxicity of environmental microplastics (MPs), samples were collected from the beaches of two islands in the Guadeloupe archipelago, Petit-Bourg (PB) located on the main island of Guadeloupe and Marie-Galante (MG) on the second island of the archipelago. These samples have a similar polymer composition with mainly polyethylene (PE) and polypropylene (PP). However, these two samples are very dissimilar with regard to their contamination profile and their toxicity. MPs from MG contain more lead, cadmium and organochlorine compounds while those from PB have higher levels of copper, zinc and hydrocarbons. The leachates of these two samples of MPs induced sublethal effects on the growth of sea urchins and on the pulsation frequency of jellyfish ephyrae but not on the development of zebrafish embryos. The toxic effects are much more marked for samples from the PB site than those from the MG site. This work demonstrates that MPs can contain high levels of potentially bioavailable toxic substances that may represent a significant ecotoxicological risk, particularly for the early life stages of aquatic animals.
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| 15. |
- Costa Climent, Ricardo, et al.
(author)
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AI-enabled business models for competitive advantage
- 2024
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In: Journal of Innovation and Knowledge. - : Elsevier. - 2530-7614 .- 2444-569X. ; 9:3
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Journal article (peer-reviewed)abstract
- Some firms have successfully harnessed artificial intelligence (AI) to create unparalleled wealth, while most around them have failed to do so. This managerial challenge has led to recent calls for research to answer the question of how firms can use AI to create and appropriate economic value. This paper answers that question. The paper reviews the existing research and discusses its merits. This review highlights the need for subsequent conceptual reconfigurations of business model theory, the theory of data network effects, and the theory of situated AI for competitive advantage. The integration of these three theories leads to a novel theory: AI-enabled business models for competitive advantage. This paper contributes to the broad literature on technology management, and more specifically to literature on technology-enabled business models and the use of AI. Several important managerial implications are outlined to help firms ensure successful AI use.
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| 16. |
- Costa Climent, Ricardo, et al.
(author)
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Business model theory-based prediction of digital technology use : An empirical assessment
- 2021
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In: Technological forecasting & social change. - : Elsevier. - 0040-1625 .- 1873-5509. ; 173
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Journal article (peer-reviewed)abstract
- Firms invest heavily in their future use of digital technology to create and appropriate value and thereby survive and prosper. Such decisions regarding the future are part of a firm's foresight, which is a core element of a firm's dynamic capabilities. The contemporary toolbox for generating foresight is dominated by procedural methods, thus ignoring theory-based predictions of the future uses of digital technology. This paper presents the first empirical assessment of business model theory's ability to predict the future uses of digital technology by a given firm. Predictions for a specific niche of hemophilia firms are investigated. Outcomes related to these predictions are then observed. The results show the power of business model theory for deriving such predictions, implying that the managerial toolbox for foresight generation should be extended to include this theory. This study also provides several directions for further development of business model theory to increase its ability to account for value creation and appropriation from the use of digital technology.
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| 17. |
- 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
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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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| 18. |
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| 19. |
- Costa-Climent, Ricardo, et al.
(author)
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Maximizing the benefitsof machine learning:enhancing data networkeffects theory to improvevalue creation andappropriation
- 2023
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In: ESIC Digital Economy and Innovation Journal. - 2792-8721. ; 2, s. e062-e062
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Journal article (other academic/artistic)abstract
- The recently proposed theory of Data Network Effects aims toaccount for how user value is created from the use of machinelearning technology. The theory accounts for the uniquelearning ability of machine learning, which uses large data setsto make predictions and enhance decision-making. This paperoffers an assessment of the theory of Data Network Effects,identifying some of its strengths and limitations. Regardingthe strengths, it contributes to the success of companies,accounts for the unique characteristics of ML technologiesand is an advancement of the body of the theory of networkeffects. Their limitations are then transformed into a set ofinterrelated research questions that focus on the relationshipof the use of machine learning and issues such as: valuecapture, a co-evolutionary view, a multi-actor perspective, anddatabase dynamics. This paper outlines a multi-theoreticalapproach to study the value creation and capture enabled bythe use of machine learning technologies.
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| 20. |
- Costa Climent, Ricardo
(author)
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The Role of Machine Learning in Creating and Capturing Value
- 2022
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In: International Journal of Software Science and Computational Intelligence. - : IGI Global. - 1942-9045 .- 1942-9037. ; 14:1, s. 1-19
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Journal article (peer-reviewed)abstract
- TranslatorThe use of machine learning technologies by the world’s most profitable companies to personalise their offerings is commonplace. However, not all companies using machine learning technologies succeed in creating and capturing value. Academic research has studied value creation through the use of information technologies, but this field of research tends to consider information technology as a homogeneous phenomenon, not considering the unique characteristics of machine learning technologies. This literature review aims to study the extent to which value creation and value capture through machine learning technologies are being investigated in the field of information systems. Evidence is found of a paucity of publications focusing on value creation through the use of ML in the enterprise, and none on value capture. This study’s contribution is to provide a better understanding of the use of machine learning technologies in information systems as a social and business practice.
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| 21. |
- 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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| 22. |
- 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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| 23. |
- Costa Climent, Ricardo, et al.
(author)
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Value Creation through Machine Learning Using Data Network Effects
- 2022
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In: Academy of Management Proceedings 2022:1. - : Academy of Management.
-
Conference paper (peer-reviewed)abstract
- The recently proposed theory of data network effects aims to account for how user value is created from the use of machine learning technology. The theory recognises the unique learning ability of machine learning, which uses large data sets for predictions and decision making. This paper offers a critical assessment of that theory, unearthing some of its strengths and limitations. The latter are transformed into a set of interrelated research questions that jointly constitute the proposed research programme into how to use machine learning technology in order to create and capture value. The paper contributes to the literature with an articulation of some novel knowledge gaps.
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| 24. |
- 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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| 25. |
- 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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