Letteratura scientifica selezionata sul tema "Secteur AHI"
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Articoli di riviste sul tema "Secteur AHI":
1
Bonnami, Alain. "Insertion professionnelle de pair-aidants dans le secteur de l’Accueil Hébergement Urgence (AHI)". Cahiers de l’Actif N° 538-539, n. 3 (1 marzo 2021): 103–29. http://dx.doi.org/10.3917/caac.538.0103.
2
Kabakci, Dilek, Çiğdem Ürkü e Şükrü Önalan. "Determination of the antibacterial effect of bee venom against rainbow trout pathogens and antibiotic resistance gene expression". Acta Veterinaria 73, n. 3 (1 settembre 2023): 374–88. http://dx.doi.org/10.2478/acve-2023-0028.
Abstract (sommario):
Abstract Bee venom (BV) is a rich source of secondary metabolites from honeybees (Apis mellifera L.). It contains a variety of bioactive ingredients including peptides, proteins, enzymes, and volatile metabolites. This study investigated the antibacterial effects of the bee venom obtained from honey bees (Apis mellifera L.) against bacterial fish pathogens, such as Lactococcus garvieae (Lg1, Lg2, Lg3), Vibrio anguillarum (Va1, Va2, Va3), Yersinia ruckeri (Yr1, Yr2, Yr3), and Aeromonas hydrophila (Ah1, Ah2, Ah3) and the expression levels on the antibiotic resistance genes hly and fbp (hemolysin and fibronectin-binding prot) of them. It was determined that bee venom had an antibacterial effect against L. garvieae, L. anguillarum, and Y. ruckeri strains, while it had no effect only against Ah3 and Ah2 bacterial strains. As staded by the gene expression of hly (hemolysin) and fbp (fibronectin-binding protein), among the antibiotic resistance genes the effect levels of bee venom on bacterial species varied, although it affected antibiotic resistance and gene expression level in all bacteria. It was revealed that the expression level was the highest for V. anguillarum strains, whereas it was below the control group for L. garvieae. i.e the effect of bee venom on the resistance mechanism for L. garvieae was much less compared to V. anguillarum. Based on the results in the current study it could be concluded that applying bee venom to pathogenic bacteria that cause mortality in the aquaculture sector could induce the defense-related gene and change the broad-spectrum biocontrol activity at the molecular level.
3
Doğan, Hasan Gökhan. "Kırşehir Ahi Evran Üniversitesi, Ziraat Fakültesi, Tarım Ekonomisi, 40100 Kırşehir". Turkish Journal of Agriculture - Food Science and Technology 6, n. 10 (2 ottobre 2018): 1455. http://dx.doi.org/10.24925/turjaf.v6i10.1455-1462.2080.
Abstract (sommario):
Agricultural support policies are important for the sustainability of the agricultural sector of the countries. Policy instruments may change on the basis of countries and periods. In this research, the effects of Turkey's supply deficit experienced which are sunflower, soybean, safflower and rapeseed cultivation areas of deficiency payment supports were investigated. The research includes between 1994-2016 years. Granger Causality Test and Johansen Cointegration Test was used. According to the results obtained, the effect of deficiency payment support on sunflower producer decisions was statistically significant. Safflower, rapeseed and soybean on cultivation areas while there was no significant effect. However, it has been determined that the between deficiency payment support with the current prices is available an interaction. Accordingly, it may be advisable to discuss of the different payment support with a participatory approach, taking into account the problems experienced in support policies in the past periods. The maintenance of such supports can be expressed as a requirement, since it is in property of being protected in terms of market prices. However, from one side, the place of support in the budget, from the other side. the effects on the producer's income taking into consideration should not be taken away from a balanced policy approach.
4
Jayaswal, Devnath. "A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution". Journal of Advanced Research in Embedded System 07, n. 3&4 (23 luglio 2021): 7–14. http://dx.doi.org/10.24321/2395.3802.202006.
Abstract (sommario):
Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.
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Albino, Pablo Murta Baião, Francisco Javier Arcelus Ulibarrena e Katrin Simon Elorz. "The impact of the sector of activity and of the region of operation on the competitiveness of the Spanish Agri-Food Industry: a Shift-Share analysis / El impacto del sector de actividad y de la región de actuación sobre la competitividad de la industria agroalimentar española: un analisis Shift-Share". Brazilian Journal of Business 3, n. 2 (21 giugno 2021): 1979–2001. http://dx.doi.org/10.34140/bjbv3n2-045.
Abstract (sommario):
This paper evaluates the potential impact on the competitiveness of the Spanish Agri-Food Industry (AFI) of the economic strength of the two most important territorial factors that impact its development, namely the sector(s) of activity and the region(s) of operation within which each AFI enterprise operates. The importance of studying such topic centers on a two-part rationale, namely (i) the central role played by competitiveness in the survival, growth and profitability of any firm; and (ii) the pivotal position of the AFI within the manufacturing sector, as well as its proximity to the agricultural sector of the economy. The method of analysis adopted for these purposes is based upon the concepts of α and β convergence and upon shift-share analysis. As a final conclusion, it may be stated that the territorial development of the AFI does not tend to converge. Hence, it is necessary to study the specific regional and sectorial strategies that have been developed to carry out the competitive position of the AFI.
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Robledo Fernandez, Juan Carlos, Gabriel Ruiz Andrade e Jorge Mario Rodas Cadavid. "Análisis exploratorio del campo de fuerzas alrededor de una cultura de simplicidad en las empresas del sector petroquímico de Cartagena de Indias". Ad-gnosis 8, n. 8 (1 dicembre 2019): 99–115. http://dx.doi.org/10.21803/adgnosis.v8i8.367.
Abstract (sommario):
La complejidad es inherente a la naturaleza de las organizaciones por ello requiere ser comprendida, gestionada a través de la construcción de espacios semánticos y formas de acción tanto de individuos como de colectivos. En forma paradójica, un elemento de la complejidad es la simplicidad. De ahi? que explorar la simplicidad en las organizaciones es un componente clave para canalizar la complejidad y un desafi?o del Management, en especial del Campo de la Estrategia. La simplicidad es por tanto un modo particular de comprender la realidad. Es tambie?n una capacidad cognitiva que debiera desarrollar el personal de la organización. La Simplicidad es la paradoja misma de la complejidad en la que “ve lo uno, y ve lo múltiple, pero no puede ver que lo uno puede, al mismo tiempo ser múltiple” (Balmes,1860)
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Cai, Tianyi, Degang Yang, Xinhuan Zhang, Fuqiang Xia e Rongwei Wu. "Study on the Vertical Linkage of Greenhouse Gas Emission Intensity Change of the Animal Husbandry Sector between China and Its Provinces". Sustainability 10, n. 7 (16 luglio 2018): 2492. http://dx.doi.org/10.3390/su10072492.
Abstract (sommario):
China’s carbon intensity (CI) reduction target in 2030 needs to be allocated to each province in order to be achieved. Thus, it is of great significance to study the vertical linkage of CI change between China and its provinces. The existing research on the vertical linkage focuses more on energy-related economic sectors in China; however, attention has not been paid to China’s animal husbandry (AH) sector, although the role of the China’s AH sector in greenhouse gas (GHG) reduction is increasingly important. This study firstly established a vertical linkage of change in greenhouse gas emission intensity of the animal husbandry sector (AHGI) between China and its 31 provinces based on the logarithmic mean Divisia index (LMDI) decomposing method from the perspective of combining emission reduction with economic development, and quantified the contributions of each province and its three driving factors of environmental efficiency (AHEE), productive efficiency (AHPE), and economic share (AHES) to reducing China’s AHGI during the period of 1997–2016. The main results are: (1) The AHGI of China decreased from 5.49 tCO2eq/104 yuan in 1997 to 2.59 tCO2eq/104 in 2016, showing a 75.25% reduction. The AHGI in 31 provinces also declined and played a positive role in promoting the reduction of national AHGI, but there were significant inter-provincial differences in the extent of the contribution. Overall, the provinces with higher emission levels contributed the most to the reduction of China’s AHGI; (2) The AHPE and AHEE factors in 31 provinces cumulatively contributed to the respective 68.17% and 11.78% reduction of China’s AHGI, while the AHES factors of 31 provinces cumulatively inhibited the 4.70% reduction. Overall, the AHPE factor was the main driving factor contributing to the reduction of China’s AHGI. In the future, improving the level of AHEE through GHG emissions reduction technology and narrowing the inter-provincial gap of the level of AHPE are two important paths for promoting the reduction of China’s AHGI.
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Rivera-Niquepa, Juan David, Daniela Rojas-Lozano, Paulo M. De Oliveira-De Jesus e Jose M. Yusta. "Decomposition Analysis of the Aggregate Carbon Intensity (ACI) of the Power Sector in Colombia—A Multi-Temporal Analysis". Sustainability 14, n. 20 (21 ottobre 2022): 13634. http://dx.doi.org/10.3390/su142013634.
Abstract (sommario):
This paper presents the application of the Logarithmic Mean Divisia Index Decomposition Analysis (LMDI) to the aggregate carbon intensity (ACI) of the power sector in Colombia in the period 1990–2020, with the aim of identifying the main drivers influencing the ACI change. The analysis performed identifies the main drivers among: carbon intensity, generation efficiency, and contribution of fossil generation at the specific and total level of electricity production. The analysis is performed at the aggregate and disaggregated level of fossil fuels. Due to the highly variable behavior of the ACI, a multi-temporal decomposition is performed in the eight presidential administrations in the period of analysis. For each period, the main drivers are identified and the energy policy implications and their effects on the operation and management of the power sector are analyzed. The results show that the main driver is the fossil share of total energy production. Important effects on thermal generation efficiency and fossil energy mix were also identified in some analysis periods. The need for effective long-term policies and regulation in relation to the factors influencing the ACI was identified. It is recommended to accelerate the diversification of the energy mix of the power sector and the permanent monitoring of the behavior of the drivers.
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Guiraudon, Virginie, Clémence Ledoux e Pascal Caillaud. "Le rôle des organisations patronales dans un secteur fragmenté". Revue des politiques sociales et familiales 150, n. 1 (15 marzo 2024): 65–82. http://dx.doi.org/10.3917/rpsf.150.0065.
Abstract (sommario):
Cet article analyse le rôle joué par les fédérations nationales d’employeurs dans la mise en place de mesures dans le secteur de l’aide à domicile auprès des personnes âgées pendant la crise pandémique. Il s’appuie sur une enquête menée entre janvier 2020 et novembre 2023, sur des documents (revue de presse, sites d’organisations, suivi des instruments de politiques publiques et de leur discussion datés entre janvier 2020 et mars 2022) ainsi que sur une enquête par entretiens (n = 20), menée entre octobre 2020 et janvier 2022. L’analyse rend compte du rôle d’influence de ces organisations dans la construction des politiques publiques et de leur rôle d’intermédiaires du droit. Ainsi, elle montre comment les organisations patronales ont agi sur les pouvoirs publics pour que les aides à domicile ne soient pas oubliées pendant cette crise et puissent avoir accès à des ressources rares relevant de l’État ou se voient appliquer des règles valables pour l’ensemble du monde du travail. L’article montre également comment cette action a perpétué une fragmentation des politiques publiques de ce secteur et a influencé le contenu des instruments, laissant des marges de discrétion importantes aux employeurs. Il insiste enfin sur le rôle des organisations patronales dans l’interprétation des instruments adoptés pendant la crise et leur diffusion en direction des employeurs et des aides à domicile.
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Ofverlind, Emilia Colding, Jesper Bille, Thure Filskov Overvad, Peter Brønnum Nielsen e Ida Ehlers Albertsen. "Validity of obstructive sleep apnoea diagnoses". Danish Medical Journal 71, n. 6 (1 giugno 2024): 1–9. http://dx.doi.org/10.61409/a11230701.
Abstract (sommario):
INTRODUCTION. Healthcare databases are a valuable source for epidemiological research in obstructive sleep apnoea, but accurately registered diagnoses are pivotal in contributing quality evidence. We examined positive predictive values (PPV) of the International Classification of Diseases, tenth version (ICD-10) diagnosis for “obstructive sleep apnoea” and “sleep apnoea” in the Danish National Patient Register. METHODS. Using the Danish National Patient Registry, we randomly sampled 100 patients from the North Denmark Region diagnosed with “obstructive sleep apnoea” (ICD-10 code DG4732) and 100 patients diagnosed with “sleep apnoea” (DG473*) during the year 2020. We calculated the PPV using a documented Apnea-Hypopnea Index (AHI) ≥ 5 to confirm the recorded diagnosis. A total of 70 patients were referred to the private sector for assessment of the AHI and excluded due to limited access to their data. RESULTS. The study population included 130 patients, among whom 64 were diagnosed with “obstructive sleep apnoea”, and 66 patients were registered with “sleep apnoea”. The PPV for “obstructive sleep apnoea” was 93.8% (95% confidence interval (CI): 85.0-97.5%), and the PPV for “sleep apnoea” was 80.3% (95% CI: 69.2-88.1%). CONCLUSIONS. Our findings indicated a high validity of the ICD-10 code DG4732 with a PPV of 93.8% and a lower PPV (80.3%) for the ICD-10 code DG473* for identifying patients with obstructive sleep. The “obstructive sleep apnoea” diagnosis is a suitable source of data for epidemiological research to identify patients with the disease. FUNDING. None. TRIAL REGISTRATION. Not relevant.
Tesi sul tema "Secteur AHI":
1
Carotenuto-Garot, Aurélien. "Les Sisyphes de l’urgence sociale : les facteurs structurels et les raisons individuelles de la fabrique sociale du sans-abrisme". Electronic Thesis or Diss., Paris 8, 2023. http://www.theses.fr/2023PA080006.
Abstract (sommario):
Cette thèse en sociologie se fixe comme objectif d’appréhender l’éventail de facteurs structurels et de raisons individuelles étant à l’origine du développement du nombre de personnes sans-domicile en France. Au terme de ce travail, les différents rouages de la fabrique sociale du sans-abrisme seront mis à jour et il nous deviendra alors possible de comprendre comment un phénomène social, qui fait de nouveau partie des préoccupations majeures de nos institutions depuis une quarantaine d’années, n’ait toujours pas été résolu. …/…Je suis en mesure d’apporter une réponse détaillée à ce questionnement grâce au point de vue inédit que j’ai pu avoir sur les institutions chargées de prendre en charge le sans-abrisme. En effet, de 2015 à 2018, j’ai été embauché en tant que doctorant-chercheur CIFRE au sein du Service Intégré d’Accueil et d’Orientation (SIAO) du Val-d’Oise. Ainsi, j’ai été intégré au cœur du secteur de l’Accueil, de l’Hébergement et de l’Insertion (secteur AHI) de ce département, ce qui m’a permis d’avoir un regard de l’intérieur du fonctionnement de ces dispositifs. J’y ai mené une étude ethnographique approfondie du travail des acteurs AHI et du quotidien des personnes sans-domicile. Aussi, cette thèse a été l’occasion de décrire les principales étapes et dynamiques du processus de transformation de soi expérimenté par les personnes sans-domicile. À cette fin, j’ai recouru au concept de carrière de sans-domicile, dont la modélisation constitue l’un des apports de cette thèse. Dans cette perspective, un suivi de plusieurs années de 80 ménages sans-domicile a été réaliséThis thesis in sociology aims to understand the range of structural factors and individual reasons behind the growth of the number of homeless people in France. At the end of this work, the various working of the social factory of homelessness will be updated and it will then become possible for us to understand why a social phenomenon, which has been a major preoccupation of our institutions for the last 40 years, has not been resolved. …/…I am able to provide a detailed answer to this question thanks to the new point of view I have had on the institutions responsible for taking charge of homelessness. Indeed, from 2015 to 2018, I was hired as a CIFRE doctoral researcher in the Service Intégré d'Accueil et d'Orientation (SIAO) in Val-d'Oise. Thus, I was integrated into the heart of the Reception, Accommodation and Insertion (AHI) sector of this department, which allowed me to have an inside look at the operation of these devices. I conducted an ethnographic of the work of AHI actors and the daily life of homeless people. Thereby, this thesis was an opportunity to describe the main stages and dynamics of the process of self-transformation experienced by homeless people. To this end, I used the concept of a career of homeless, whose modelling constitutes one of the contributions of this thesis. In this perspective, a follow-up of several years of 80 trajectories of homeless households was carried out
2
Aragão-Lagergren, Aida. "Working children in the informal sector in Managua". Uppsala, Sweden : Uppsala University, Dept. of Social and Economic Geography, 1997. http://catalog.hathitrust.org/api/volumes/oclc/37028942.html.
3
He, Jia Cong. "Analyzing risks in public-private partnership infrastructure projects using ISM and AHP methods". Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950676.
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Wele, Idrissou Pascal Djaigbe Pierre. "Le secteur privé national face au désengaagement de l'état cas des privatisations /". [Benin] : Université nationale du Bénin, 1991. http://catalog.hathitrust.org/api/volumes/oclc/37686067.html.
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Dante, Elena <1995>. "Application of Fuzzy AHP and TOPSIS methods for a Foreign Direct Investment in the aluminium industry sector". Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15842.
Abstract (sommario):
Multi-Criteria Decision Making (MCDM) is one of the most well-known branch of decision making, representing a starting point for solving important practical issues. In the present thesis, two methods are applied: Fuzzy AHP and TOPSIS . In order to deal with this problem, the objective of the thesis is to validate or not a future possible investment proposed by a Paduan (IT) aluminium enterprise. It would like to implement a Foreign Direct Investment (FDI) in Morocco in a local firm belonging to the same industry sector. The goal of the thesis is the identification of the best country in the Mediterranean zone where apply the FDI for a medium-large aluminium enterprise of Italian North-East. The final result will not validate the investment proposed by the Paduan firm and reward Morocco as not the best area for this type of investment. Fuzzy AHP method identifies the factors (cost, labour characteristics, political and economic factors…) necessary to consider for this type of investment, while TOPSIS method, through the previous result, creates the final rank of countries from the best one where apply an FDI for an aluminium company to the worst one.
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RIBEIRO, BRUNO AGRÉLIO. "A PROPOSAL TO DISCLOSE THE PREFERENCES OF SPECIALIST COMMITTEES VIA AHP METHOD: AN APPLICATION TO THE ELECTRICAL SECTOR". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32280@1.
Abstract (sommario):
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Processos decisórios envolvendo um número diverso de critérios são comumente problemas complexos. Em geral, tais problemas procuram atender interesses conflitantes, logo, soluções únicas tendem a não contemplar as preferências de todos os agentes envolvidos no processo. Esse é o caso do problema de seleção de modelos de geração de cenários estocásticos de Energia Natural Afluente (ENA), os quais são insumo ao cálculo do despacho hidrotérmico de médio prazo no planejamento da operação do Sistema Elétrico Brasileiro (SEB). Neste trabalho é proposta uma extensão de um consagrado método de apoio à decisão multicritério, para que este se torne apto a revelar a preferência de comitês de especialistas, e a partir destas preferências reveladas derivar soluções mais adequadas para cada comitê. A aplicação dessa metodologia proposta no contexto do SEB é feita de forma a auxiliar diferentes segmentos do setor (academia, indústria e órgão regulador) a identificarem qual modelo de geração de cenários melhor se adequa às preferências destes segmentos. Para tal, os especialistas destes três setores foram agrupados e a partir da revelação das preferências de cada comitê foi proposta uma nova ordenação dos modelos geradores de cenários. As preferências reveladas para os comitês da academia e da indústria corroboraram as conjecturas sobre as predileções destes setores, fidelidade na representação dos momentos para a academia e capacidade de replicação da variância para a indústria, já a hipótese por predileção à replicação de déficit não pode ser verificada para o comitê do órgão regulador. Dentre as novas soluções obtidas, o modelo melhor classificado para a academia e indústria foi o PAR(p) Multiplicativo e para o órgão regulador o PAR(p) Boot-MC.
Decision-making processes involving a large number of criteria are often complex problems. In general, such problems seek to meet conflicting interests, so single solutions tend not to address the preferences of all agents involved in the process. This is the case of the problem of selection models for generation of stochastic scenarios of Natural Inflow Energy (NIE), which are input to the calculation of the medium term hydrothermal dispatch in the planning of the operation of the Brazilian Electric System (BES). This paper proposes an extension of a well-established multicriteria decision support method, so that it becomes able to reveal the preference of expert committees, and from these revealed preferences to derive more adequate solutions for each committee. The application of this methodology proposed in the context of BES is done to help different segments of the industry (academia, industry and regulator) to identify which model of scenario generation best suits the preferences of these segments. To this end, the specialists of these three sectors were grouped and from the revelation of the preferences of each committee a new ordering of the scenario generating models was proposed. The preferences revealed for the academy and industry committees corroborated the conjectures about the predilections of these sectors, fidelity in the representation of the moments for the academy and capacity of replication of the variance for the industry, however the hypothesis for predilection for the replication of deficit was not able to be verified to the regulatory committee. Among the new solutions obtained, the best classified model for the academy and industry was the PAR (p) Multiplicative and for the regulatory committee the PAR (p) Boot-MC.
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Cerna, Risco Carlos Jesús, e Valencia Nadia Valery Rojas. "Modelo de Gestión basado en MRP y AHP para la reducción del incumplimiento de pedidos en el sector vitivinícola". Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/655322.
Abstract (sommario):
El presente artículo tiene la finalidad de abordar el caso de una empresa pyme del sector vitivinícola, la cual tiene como principal problema el incumplimiento de pedidos a los clientes. Entre las causas que ocasionan este problema está la falta de materia prima disponible debido a una inadecuada planificación al momento de realizar las órdenes de compras al proveedor, lo que afecta la gestión de inventarios de la empresa. Asimismo, otras causas son el retraso del proveedor en la entrega de la materia prima y la entrega de la materia prima con defectos. Esto se debe a una mala elección del proveedor idóneo y a que la empresa solo cuenta con un proveedor en la actualidad, lo cual afecta la producción y la atención de los pedidos de los clientes en el plazo establecido. A partir de esto, se realizaron estudios donde se propone implementar un modelo de gestión basado en MRP, orientado a la gestión de abastecimiento y AHP, orientado a la gestión de proveedores; con la finalidad de reducir el porcentaje de incumplimiento en un 10% con respecto a los pedidos demandados y mantener una mejora sustantiva de la confiabilidad de los clientes y proveedores hacia la empresa.The objective of this article is to address the case of an SME company in the wine sector, whose main problem is the non-fulfillment of customer orders. Among the reasons that cause this problem is the lack of available raw material due to inadequate planning when making the purchase orders to the supplier, which affects the company's inventory management. Also, other causes are the delay of the supplier in the delivery of the raw material and the delivery of the raw material with defects. This is due to an inappropriate choice of the optimal supplier and the fact that the company currently only has one supplier, which affects production and the fulfillment of customer orders within the established time frame. Based on this, studies were carried out where it is proposed to implement a management model based on MRP, oriented to supply management and AHP, oriented to supplier management; In order to reduce by 10% the percentage of non-compliance with respect to the requested orders and maintain a substantial improvement in the reliability of customers and suppliers towards the company.
Trabajo de investigación
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Kazadi, Meta. "Le financement du secteur agricole zaïrois confirme-t-il le slogan "agriculture, priorite des priorites"? /". Kinshasa : Faculté des sciences économiques, Département de l'economie appliquée, Université de Kinshasa, 1990. http://catalog.hathitrust.org/api/volumes/oclc/22607080.html.
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Al-Fawaz, Khaled. "Investigating enterprise resource planning adoption and implementation in service sector organisations". Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/10078.
Abstract (sommario):
This thesis investigates Enterprise Resource Planning (ERP) adoption and implementation in Service Sector Organisations (SSOs). ERP is a business management system that has emerged to support organisations to use a system of integrated applications to enhance their Information Technology (IT) infrastructures, enhance business processes and deliver high quality of services. Regardless of the fact that several other sector organisations have adopted and implemented ERP systems, its application in SSOs is rather inadequate. Among other reasons, two core rationales can be attributed to the latter fact – firstly, SSOs lack the sufficient knowledge, expertise and training to implement such sophisticated integrated systems and secondly, the top management lacks the ability to take appropriate decisions for ERP adoption and implementation. However, merely focusing on a number of factors influencing ERP adoption and implementation may not be suffice, as there is a need for a systematic decision-making process for adopting and implementing ERP systems in SSOs. The limited number of ERP systems’ applications in SSOs has resulted in inadequate research in this area with many issues, like its adoption and implementation requiring further exploration. Despite, the implications of ERP systems have yet to be assessed in SSOs, leaving ample scope for relevance and producing a unique piece of research work. Thus, the author demonstrates that it is of high importance to investigate this area within SSOs and contribute towards successful ERP adoption and implementation. This thesis makes a step forward and contributes to the body of knowledge as it: investigates factors influencing the decision-making process for ERP adoption and implementation in SSOs, prioritises the importance of factors influencing ERP adoption and implementation, evaluates ERP lifecycle phases and stages, maps the ERP factors on different phases and stages of the ERP lifecycle, and in doing so, to propose a model for ERP adoption and implementation in SSOs. The author claims that such an ERP adoption and implementation process in SSOs is significant and novel as: it extends established norms for ERP adoption and implementation, by including Analytical Hierarchy Process (AHP) technique for prioritising the importance of factors, thus, facilitating SSOs to produce more robust proposals for ERP adoption and implementation. The author further assess the proposed ERP adoption and implementation model by using a qualitative, interpretive, multiple case study research strategy. Findings from two case studies demonstrate that such a systematic approach contributes towards more robust decisions for ERP adoption and implementation and indicates that it is acceptable by the case study organisations. The thesis proposes, assesses and presents a novel model for ERP adoption and implementation in SSOs and contributes to the body of knowledge by extending the literature.
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Parodi, de Camargo Violeta del Rosario. "Propuesta metodológica para la evaluación integral de proyectos en el sector energético". Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/30063.
Abstract (sommario):
Este trabajo tuvo como objeto el desarrollo de una metodología para la evaluación integral
de proyectos en el sector energético. La comparación de diversos métodos de análisis
multicriterio permitió seleccionar al Proceso de Jerarquías Analíticas de Saaty como la
plataforma metodológica de referencia para la realización del trabajo. Una investigación sobre
el sector energético proporcionó una visión de conjunto del mismo y de las características de
cada uno de diecinueve tipos de recursos energéticos estudiados. Tomando como punto de
partida tales características fue posible seleccionar un grupo de 76 aspectos diferenciadores
que podían afectar la priorización de proyectos en el área; éstos fueron reducidos
progresivamente a 59, 44 y 24 aspectos principales que se agruparon de acuerdo a su
naturaleza, en seis dimensiones: técnica, económica, ambiental, social, estratégica y de
riesgo. La reducción se realizó en base a rondas de consulta a expertos, reflexión y al análisis
estadístico de las opiniones recabadas. A cada aspecto se asignó un objetivo y un criterio que
guiase la evaluación del grado de cumplimiento del primero por parte de un proyecto bajo
estudio. Los criterios seleccionados fueron agrupados en una estructura jerárquica de tres
niveles y se diseñó un sistema de 24 indicadores de naturaleza cuantitativa y cualitativa,
acorde con la misma. Para cada indicador se creó una ficha resumen contentiva de su
definición, su unidad de medida, las posibles fuentes de información para su estimación y se
creó una escala [1-5] para su medición. Todo el conjunto fue validado de nuevo por
académicos y profesionales en una segunda ronda de entrevistas, donde se recogió además
información sobre la importancia de cada criterio en comparaciones por pares entre criterios
del mismo nivel. La información fue procesada con ayuda de la herramienta computacional
Expert Choice¿ que además permitió verificar la consistencia de la data aportada por cada
participante. El producto final de esta etapa del trabajo fue un modelo jerárquico de criterios
para la evaluación de propuestas de inversión en el sector energético. En el modelo, la mayor
importancia correspondió a la dimensión riesgo (24,3%) seguida de las dimensiones ambiental
(20,5%) y económica (15,9%). Las dimensiones técnica (13.7%), estratégica (13.5%) y social
(12.2%) tuvieron importancias relativas menores.
El modelo de valor diseñado se utilizó conjuntamente con técnicas de programación lineal
en la evaluación de posibles soluciones al suministro de energía eléctrica en Venezuela, ante la
crisis que vive el país y que tuvo su máxima expresión en el año 2010. El objetivo a cumplir se
estableció como el diseño de una matriz eléctrica a implementar a lo largo del período 2011-
2025, basada en los potenciales desarrollables de cada fuente energética que posee el país y
en su demanda estimada; y sujeta a las limitaciones financieras de la nación y a los compromisos y convenios internacionales que la misma ha suscrito. Para su uso como insumo
a la resolución del problema, se proyectó la demanda eléctrica del país al período señalado, en
tres escenarios que difieren en el crecimiento económico esperado. Nueve opciones
correspondientes respectivamente a la utilización de derivados de petróleo, gas, carbón,
biomasa, energía nuclear y, potencial hidráulico, eólico, solar y geotérmico como insumo
energético primario a la generación eléctrica, fueron evaluadas de acuerdo con el modelo de
valor diseñado. La información de fuentes oficiales requerida para la estimación de los
indicadores de índole cuantitativa para cada alternativa, resultó escasa y no consistente; de
esta forma gran parte de la data utilizada fue obtenida de publicaciones internacionales y de
expertos en el sector privado del país. Una tercera ronda de entrevistas a expertos en el
sector público y privado, proporcionó la información necesaria para la estimación de los
indicadores de índole cualitativa. La consolidación de la información en un coeficiente de
robustez para cada alternativa permitió identificar a la opción eólica como la mejor opción,
seguida de la generación hidráulica y de la generación basada en gas. La generación nuclear
resultó por mucho, la peor opción.
Los coeficientes de robustez obtenidos fueron insumo a un modelo de programación lineal
cuya resolución permitió identificar la 'mejor combinación' de las potenciales opciones de
generación a instalar entre las evaluadas en el paso anterior, que se ajustase a las condiciones
existentes en el país. Un análisis de sensibilidad de los resultados a cambios en las
restricciones impuestas al modelo, rindió dos soluciones que difieren sólo en la participación o
no, de la opción nuclear en ellas. Ambas, incluyen la opción hidráulica mayoritariamente
(>32%) y una contribución de un 15% de energía eólica, además de las opciones de petróleo,
gas y carbón. Cada una de ellas, de implementarse, es capaz de añadir 120.000 GWh al
suministro eléctrico al país, para el año 2025. La capacidad de generación a instalar durante el
período 2013-2025, se acerca a 28 GW; y el presupuesto necesario para ejecutarla, a 65 mil
millones de US$; y entre 1,5 y 2 veces esta cifra, si se incluye la adecuación de la red para
distribuir la electricidad producida. La puesta en marcha de la matriz eléctrica total para el
país producirá unos 260.000 GWh para el año 2025, tendrá una participación >45% de
energía hidráulica y una contribución de un 6,9% de energía eólica. Se estima que se requiere
un período de al menos 5 años para disponer de las primeras nuevas centrales eléctricas.
Finalmente, se propuso una metodología combinada para la evaluación multicriterio de
alternativas de inversión institucional, técnica, económica y ambientalmente viables en el
sector energético. Sí las alternativas son excluyentes, resultará suficiente para su evaluación y
ordenamiento la aplicación del modelo jerárquico diseñado; si no es así, esta primera etapa
debe completarse con el planteamiento de un modelo de programación lineal que maximice la
robustez de la solución y la acerque más a las circunstancias propias del país sede.Parodi De Camargo, VDR. (2013). Propuesta metodológica para la evaluación integral de proyectos en el sector energético [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/30063
TESIS
Libri sul tema "Secteur AHI":
1
ʻAlī ibn Aḥmad Ibn Ḥazm. Al-Naṣāʼiḥ al-munjīyah min al-faḍāʼiḥ al-mukhzīyah wa-al-qabāʼiḥ al-mardīyah min aqwāl ahl al-bidaʻ min al-firaq al-arbaʻ al-muʻtazalah wa-al-marjiʼah wa-al-khawārij wa-al-shiyaʻ. Taṭwān: Nafāʼis wa-Durar Turāth ibn Ḥazm al-Andalusī, 2018.
2
Germanà, Maria Luisa, a cura di. Permanenze e innovazioni nell'architettura del MediterraneoMediterranean Architecture between Heritage and Innovation. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-007-5.
Abstract (sommario):
Il volume offre numerosi spunti sul tema Permanenze e innovazioni nell'architettura del Mediterraneo, dimostrandone l'ampiezza di aspetti riconducibili alla Tecnologia dell'architettura, di cui si evidenzia la flessibilità dei confini disciplinari con riferimento ai diversi significati assumibili dal concetto di risorsa. Letta in continuità con le precedenti pubblicazioni Osdotta, questa consente di seguire quanto si va sviluppando nel terzo livello di formazione in un momento particolarmente critico per l'istituzione universitaria, continuando a porre l'accento sul nodo domanda/offerta di ricerca, nel confronto con altre istituzioni e con il mondo della produzione di settore, nell'attuale scenario dominato da trasformazioni sempre più rapide e incisive. La qualificazione dei corsi di dottorato, attraverso la riflessione sugli esiti immediati e a lungo termine, parallelamente alla precisazione dei contenuti identitari del settore disciplinare, restano le principali sfide da continuare ad affrontare. This publication provides considerable material for reflection on the subject of Mediterranean Architecture between Heritage and Innovation, demonstrating the wide range of aspects linked to Architectural Technology, in which one is struck by the flexibility of the disciplinary boundaries with regard to the various meanings that can be applied to the concept of resource. Taken together with the previous publications of Osdotta, this consents one to trace the developments in the third level of education at a particularly critical time for the university institution; the emphasis continues to be placed on the crucial issue of supply/demand of research; the situation is compared with other institutions and with the world of production in this sector, in a present-day scenario dominated by ever more rapid and incisive transformations. The main challenges left to be faced are to improve the quality of PhD courses, after due reflection on the immediate and long-term results, whilst defining more precisely the identitary contents of the disciplinary sector.
3
Messerlin, Patrick A. The Audiovisual Services Sector in the GATS Negotiations (AEI Studies on Services Trade Negotiations). AEI Press, 2004.
4
Levine, Marsha. The Private Sector in the Public School: Can It Improve Education (Aei Symposia, 84b). Aei Pr, 1985.
5
Stanton, Thomas H. Government-Sponsored Enterprises: Mercantilist Companies in the Modern World (Aei Studies on Financial Market Deregulation). Aei Pr, 2001.
6
El Namaki, MSS, e Pooja Sharma, a cura di. Management of Data in AI Age. CSMFL Publications, 2020. http://dx.doi.org/10.46679/isbn9788194848349.
Abstract (sommario):
This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI’s deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.
7
Lauterbach, Anastassia, e Andrea Bonime-Blanc. The Artificial Intelligence Imperative. ABC-CLIO, LLC, 2018. http://dx.doi.org/10.5040/9798400614835.
Abstract (sommario):
This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This is the first book to explain where AI comes from, why it has emerged as one of the most powerful forces in mergers and acquisitions and research and development, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and even thriving in the face of the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. At the same time, AI experts will learn how their research and products can increase the competitiveness of their businesses, and corporate boards will come away with a thorough knowledge of the AI governance, ethics, and risk questions to ask.
8
Volpi, Elena, Jong Suk Kim, Shaleen Jain e Sangam Shrestha, a cura di. Artificial Intelligence in Hydrology. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789064865.
Abstract (sommario):
Abstract Nowadays, hydrological systems are becoming increasingly complex owing to the growing interaction between nature and humans at the local scale of river sections, lakes, reservoirs, catchments, etc., to the global scale. There is great demand for the development of models to evaluate, predict, and optimize the performance of complex hydrological systems whose behaviour is characterized by a strong nonlinearity. However, traditional approaches can hardly handle this nonlinear behaviour; moreover, the analysis of hydrological systems at large or even global scale, requires dealing with large-volume and real-time data. In recent years, artificial intelligence (AI), especially deep learning, has shown great potential to process massive data and solve large-scale nonlinear problems. AI has been successfully applied to computer vision, machine translation, bioinformatics, drug design, and climate science. AI models have produced results comparable to and even better than expert human performance. It is expected that AI can significantly contribute to hydrology research as well as development. This book presents some of the latest advances in the field of AI in hydrology. Both theoretical and experimental chapters are included, covering new and emerging AI methods and models from various challenging problems in hydrology. In Focus–a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
9
Graef, Inge, e Bart van der Sloot, a cura di. The Legal Consistency of Technology Regulation in Europe. Hart Publishing, 2024. http://dx.doi.org/10.5040/9781509968053.
Abstract (sommario):
By bringing together fundamental rights, economic law, and recent legislation in the areas of digital platforms, data, and AI, this open access book gives a comprehensive picture of the state of play in technology regulation in the EU. Risks of regulatory fragmentation are on the rise with ever more legislative instruments becoming applicable to the technology sector. This book explores the prospects and challenges of ensuring legal consistency in a period of transition in which new legislation is being implemented and the interpretation of existing laws is being challenged by the use of data, AI, and platform technologies. The book analyses the legal consistency of technology regulation from three perspectives: (1) the relationship between the EU and the Council of Europe; (2) the relationship among EU regulatory frameworks; and (3) the relationship between EU and Member State law. By covering issues of fundamental rights protection, the free flow of data, consumer protection, competition, and innovation, the book gives a unique and extensive outlook into the state of the art in academic and policy discussions. Unravelling the relationship between legal fields, the book is an essential resource for academics, practitioners and students wishing to understand the increasingly complex landscape of technology regulation in Europe.
10
BAHADUR TIWARI, BHUPENDRA, E. ESWARA REDDY e SAM X. KINGSLEY JOSHUA. INNOVATIVE HUMAN RESOURCE PRACTICES AND EMPLOYEE ENGAGEMENT WITH SPECIAL REFERENCE TO IT SECTOR. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-79-2.
Abstract (sommario):
The industry of information technology in India includes the following services namely IT and software services, IT enabled services, hardware (engineering) services, and e-businesses/e-governance associated with government services. IT services are outsourcing of software support/installation, processing services, systems integration, exports of products and services, and training/education of the information technology science. The significant improvements in the industry have brought about a vital need for systematic process of managing the majority of employees in the IT industry. There was also a need created for technology in the subject matter of managing the employees and other aspects that came into picture. Hence, Innovative Human Resource practices came into existence for upgrading the skills and building the employees to work towards the goal of the organization. This gave birth to HR technology, Employee Engagement, ERP and so on. The study focuses on identifying various applications of Innovative Human resource practices in IT industry, the role of demographics and the factors influencing employee engagement and productivity. The study also analyzes the impact of innovative human resource practices on employee engagement and productivity and finally examines the mediating role of employee engagement upon the relationship between innovative human resource practices and employee productivity. To support the study, review of the relevant literature (Books, Research thesis and research papers) available in the innovative human resource practices space (both Global and Indian) was done. The research gap was identified in 4 categories i.e. empirical gap, evidence gap, methodological gap and population gap. The conceptual framework for the study was also designed. The literature review was categorized into national and international, theoretical and empirical to keep the study relevant according to the current global standards. Based on the research gap and the conceptual framework, the questionnaire was framed and according to the hypothesis the plan of analysis was structured to further the study. The data collection was completed through offline and online method, based on sample design. The analysis included Structural Equation Model, ANOVA, Independent t test and Mediation analysis – Andrew Hayes, Model 4 using SPSS and AMOS software. The study found out that HR Technology, HR Analytics, Collaboration Tools, AI in HR and Employee Pulse survey, are contributors to Innovative Human resource practices but there is no significant impact of demographic variables on perception of IHRM. Also, Employee retention, Reward and recognition, Personality development and Performance appraisal are factors influencing Employee engagement and Innovative work system, Employee contribution, Vigour, Dedication, Psychological factors, Motivational factors, Experience Factors and Individual capacity are factors influencing Employee Productivity. IHRM has significant impact on employee engagement and the employee productivity. Employee engagement mediates the relationship between IHRM and employee productivity. To conclude, this study provides insights into how employees are affected by innovative HR practices and provides practical solutions for organizations looking to encourage staff. By using motivational strategies that are directly tied to employees’ immediate interests and that are intended to affect their views and attitudes, innovative HR practices can assist firms in projecting a sense of employee engagement. Employees are further encouraged to be selfless and altruistic by the degrees of perceived satisfaction with the creative HR methods. As a result, they become more open to doing tasks that aren’t directly relevant to their professions but nevertheless helpful to their businesses. This would increase the efficiency of enterprises in managing their human resources, particularly those businesses that are team-based. Keywords: Innovative Human Resource Practices, Employee Engagement, Employee Productivity, IT Sector, Bengaluru, Human Resource Technology, Trends of IHRM, Innovative Human Resource Technology tools, IHRM Strategies, Information Technology.
Capitoli di libri sul tema "Secteur AHI":
1
Fontes, Dalila B. M. M., Teresa Pereira e Elisabete Dias. "Evaluating Suppliers in the Olive Oil Sector Using AHP". In Operational Research, 121–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71583-4_9.
2
Alimohammadlou, Moslem, Saeed Alinejad, Zahra Khoshsepehr, Mohsen Safari, Yalda Jafari, Asefeh Tajodin e Sahar Sadat Mohammadi. "Circular Intuitionistic Fuzzy AHP: An Application in Manufacturing Sector". In Analytic Hierarchy Process with Fuzzy Sets Extensions, 369–94. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39438-6_17.
3
Scheuermann, Konrad, Ingo Kucz e Sabina Jeschke. "AI in the Rail Sector". In Work and AI 2030, 267–75. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40232-7_30.
4
Shao, Baohang, e Wei Liu. "Core Sector Risk Assessment Model Based on AHP of Confidentiality". In Proceedings of the 14th International Conference on Man-Machine-Environment System Engineering, 367–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44067-4_44.
5
Samuel, Manoj P., George Ninan e C. N. Ravishankar. "Role of ABI for Entrepreneurship Development in Value Addition Sector". In Entrepreneurship Development in Food Processing, 31–46. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003246022-3.
6
Dinçer, Hasan, Yaşar Gökalp, Serkan Eti e Serhat Yüksel. "Strategy Generation for Minimizing Health Risks to Obtain Economic Development with Pedroni Panel Cointegration Analysis and AHP Model". In Social Sector Development and Governance, 161–76. London: Routledge India, 2023. http://dx.doi.org/10.4324/9781003251132-13.
7
Corneliussen, Hilde G., Gilda Seddighi, Aisha Iqbal e Rudolf Andersen. "Artificial Intelligence in the Public Sector in Norway:". In AI, Data, and Digitalization, 160–72. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53770-7_11.
Abstract (sommario):
AbstractThis paper presents a study of the use of artificial intelligence (AI) in the Norwegian public sector. The study focused particularly on projects involving personal data, which adds a risk of discriminating against individuals and social groups. The study included a survey of 200 public sector organizations and 19 interviews with representatives for AI projects involving personal data. The findings suggest that AI development in the public sector is still immature, and few projects involving personal data have reached the stage of production. Political pressure to use AI in the sector is significant. Limited knowledge and focus on AI development among managements has made individuals and units with the resources and interest in experimenting with AI an important driving force. The study found that the journey from idea to production of AI in the public sector presents many challenges, which often leads to projects being temporarily halted or terminated. While AI can contribute to the streamlining and improvement of public services, it also involves risks and challenges, including the risk of producing incorrect or discriminatory results affecting individuals and groups when personal data is involved. The risk of discrimination was, however, not a significant concern in the public sector AI projects. Instead, other concepts such as ethics, fairness, and transparency took precedence in most of the project surveyed here.
8
Brokensha, Susan, Eduan Kotzé e Burgert A. Senekal. "AI and the labour sector in Africa". In AI in and for Africa, 71–81. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003276135-6.
9
Tripathi, Sangeeta. "Paradigm Shift in Higher Education Model by Using Artificial Intelligence: Challenges and Future Perspectives in India and Oman". In Incorporating AI Technology in the Service Sector, 215–38. New York: Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003378068-10.
10
Pesqueira, António, e Maria José Sousa. "Life Sciences Industry Blockchain Value Management, Investments, and Finance Impact Assessment: Global Questionnaire Survey of 1524 Industry Professionals and Executives". In Incorporating AI Technology in the Service Sector, 67–107. New York: Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003378068-4.
Atti di convegni sul tema "Secteur AHI":
1
GOMBITOVÁ, Dagmar. "Integrating Delphi and AHP methods in long-term policy decisions". In Current Trends in Public Sector Research. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9646-2020-2.
Abstract (sommario):
This paper presents the application of expert decision methods for the formulation and prioritisation of the long-term economic, social and environmental policies in the Slovak Republic. The Partnership Agreement for the Slovak Republic is an underlying strategy for investments from the European Structural and Investment Funds in the period 2021-2027. Policies implemented under the Partnership Agreement will allocate €13.4b on four policy objectives. This paper concentrates on the policy objective 4 ‘Social development’. The authors co-operated with the Deputy Prime Minister Office and assembled panels of top Slovak experts on social and economic issues. The Delphi and Analytical hierarchy process methods were combined for analysing major development challenges and eliciting policy priorities. The methods combined the bottom-up and top-down approaches to policy making. Consecutive rounds of the ‘classical Delphi’ generated consensus by experts on major development challenges of the Slovak Republic in period 2021-2027. The ‘policy Delphi’ encouraged structured public dialogue in order to generate policy alternatives for solving development challenges. The Analytical Hierarchy Process enabled the structuring of complex policy decision problems. A hierarchy of decision goals, decision alternatives and decision criteria was constructed. Some nine policy measures were drafted and prioritised.
2
Sokhi, R. K. "AHP for Recruitment Risk Management in R&D Sector". In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2014. http://dx.doi.org/10.13033/isahp.y2014.016.
3
Gudele, Ina, Ilona Beizitere e Ieva Brence. "External and internal factors for increasing the use of electronic commerce in the SME sector in Latvia". In 24th International Scientific Conference. “Economic Science for Rural Development 2023”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2023. http://dx.doi.org/10.22616/esrd.2023.57.023.
Abstract (sommario):
Several studies have found that e-commerce can have a positive impact on any type of business. Some surveys show that the use of e-commerce in Latvia is a problem for most companies in the SME sector; however, there is still a lack of in-depth research to justify the directions of action contained in strategic policy documents. The purpose of the article is to provide analysis of external and internal factors that affect the use of electronic commerce in the SME sector. The Analytic Hierarchy Process (AHP) was used to identify the factors that most positively and negatively affect the e-commerce development of companies. Data from the expert survey were used to conduct the analysis with the AHP method. 17 experts from the state administration, academia and the business environment participated in the survey, who assessed the impact of various internal and external factors on the use of e-commerce in companies. Since the application of e-commerce in companies is one of the measures for faster recovery of the state of the national economy, including developing the export of the SME sector in the post-COVID-19 pandemic period, recommendations have been prepared for public and commercial organizations to have a positive impact on the use of e-commerce in SMEs.
4
Boshnakov, Petyo, Vesselina Dimitrova e Georgi Marinov. "Innovations in Wine Sector: Evidence from Bulgaria Based on Fuzzy AHP Approach". In New Trends in Sustainable Business and Consumption. Editura ASE, 2022. http://dx.doi.org/10.24818/basiq/2022/08/077.
5
Cruz Gálvez, Luighi Digenaro, e Alejandra Inga. "Propuesta de Abordaje combinado, AHP, WGP y WSA para el sector bioenergético". In ANAIS DO SIMPóSIO BRASILEIRO DE PESQUISA OPERACIONAL. São José dos Campos - SP, BR: Galoa, 2023. http://dx.doi.org/10.59254/sbpo-2023-175216.
6
Kolçak, Menşure, e Halil İbrahim Şen. "The Role of Inefficient Government Expenditures in Turkey's Failure to Escape the Middle Income Trap from the Perspective of Academics". In International Conference on Eurasian Economies. Eurasian Economists Association, 2020. http://dx.doi.org/10.36880/c12.02367.
Abstract (sommario):
According to the middle income trap, economies that can come up to a certain point by imitation or capacity at hand are clogging at some point. A new paradigm is needed to continue progress. In the literature studies, it is seen that public initiative is very decisive in the fight against middle income trap. Especially in Far East Countries, the effect of public sector in getting rid of middle income trap is remarkable. It is tried to explain in a hierarchy the issues that are effective in avoiding the middle income trap. Analytical Hierarchy Process (AHP) method was preferred due to the suitability of the study. With the AHP method, it is tried to understand the point of view of the academicians who examine theoretically. According to the study, academician evaluators considered political reasons as more important.
7
Voronova, Irina, e Vladimirs Shatrevich. "Sectoral risk assessment: a case of the Latvian forestry sector". In 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.621.
Abstract (sommario):
The present study provides an analysis of sectoral risk in the forestry sector and presents an overview of multiple-criteria decision analysis (MCDA) for sector development assessment. The main aim of the paper is to determine the macroeconomic indicators and to assess sectorial risk, which is caused by unexpected macroeconomic and market changes. The paper presents a methodological framework for the analysis of sectoral level risk to assess the probability of the stable development of the industry and to determine the risk for the forestry sector (industry). Based on expert opinions and analytic hierarchy process (AHP), the authors have identified and evaluated macroeconomic industry-level data indicators (factors) used to determine the development of the forestry sector. An analysis matrix with the defined and verified indicators (factors) is presented; the comparison between sectoral inicators and sectoral volatility is shown. In order to combine industry development indicators (factors) expressed in different units of meas-urement and to establish a comprehensive indicator of industry development, the statistical standardisation (normalisation) of indicators is performed.
8
Gustaitė, Akvilė, e Algita Miečinskienė. "RESEARCH ON THE USE OF ADTECH IN FINTECH COMPANIES". In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.841.
Abstract (sommario):
The FinTech sector is booming with record funding and investment every year. It is no surprise that the industry is becoming remarkably attractive to new business players and, as a result, increasingly competitive. To cut through the noise and lead, it is important to promote the service or product most effectively and accurately. The Fin-Tech advertising and marketing literature analyses well-known approaches such as social media or even traditional advertising; however, the usage of AdTech in the FinTech sector is barely discussed and analyzed. This article aims to fill the gap and research the usage of AdTech in the FinTech sector, analyzing the relevance, efficiency, and value of Ad-Tech tools in FinTech companies. This research methodology includes an experts’ survey, Kendall’s coefficient of con-cordance (W), TOPSIS, and AHP methods that help determine the factors of the use of AdTech in the FinTech sector.
9
Azzouz, Khaoula, Jabir Arif e Mohamed Badr Benboubker. "Study of the Logistics Service Providers Performance in Moroccan Agricultural Sector". In XV. International Conference on Logistics in Agriculture 2021. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-538-2.2.
Abstract (sommario):
The main objective of this paper is to study the situation of LSP operating in the agricultural sector which is a key sector for the Moroccan economy. This study will help contractors to make a correct decision concerning the choice of a performing LSP in the agricultural sector, while providing a multi-criteria decision method (MCDM): fuzzy AHP. Nowadays the expansion in terms of service has become crucial for any implementation of a successful outsourcing strategy and to attract and convince contractors through well adapted services, furthermore, the diversity in terms of the offer made by the LSP and the competitiveness between them made the task of the contractors complicated. This paper intended to provide an exploratory study grouping, on the one hand, the various Moroccan LSP and the level of their service offered in logistics services in the agriculture field, and on the other hand, the different criteria that influence the choice of those LSP. As a result, a proposal of an MCDM is established. The objective is to provide the contractors with a decision-making tool for selecting suitable LSP to collaborate with and evaluating the outsourcing performance.
10
Daniil, Savvina. "Ethical Recommenders in the Public Library Sector". In AIES '22: AAAI/ACM Conference on AI, Ethics, and Society. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3514094.3539536.
Rapporti di organizzazioni sul tema "Secteur AHI":
1
Mutis, Santiago. Privately Held AI Companies by Sector. Center for Security and Emerging Technology, ottobre 2020. http://dx.doi.org/10.51593/20200019.
Abstract (sommario):
Understanding AI activity in the private sector is crucial both to grasping its economic and security implications and developing appropriate policy frameworks. This data brief shows particularly robust AI activity in software publishing and manufacturing, along with a high concentration of companies in California, Massachusetts and New York.
2
Arnold, Zachary, Roxanne Heston, Remco Zwetsloot e Tina Huang. Immigration Policy and the U.S. AI Sector. Center for Security and Emerging Technology, settembre 2019. http://dx.doi.org/10.51593/20190009.
Abstract (sommario):
As the artificial intelligence field becomes more developed globally, the United States will continue to rely on foreign AI talent to stay ahead of the curve. Here are our preliminary recommendations to maintain current U.S. leadership, bolster the domestic AI workforce and improve the outlook for the future.
3
Stankovic, Mirjana, e Nikola Neftenov. Cross Pollination and Digitalization of Public Sector Data: Opportunities and Challenges. Inter-American Development Bank, agosto 2022. http://dx.doi.org/10.18235/0004355.
Abstract (sommario):
This report aims to aid governments in Latin America and the Caribbean in embracing the opportunities public sector data utilization and artificial intelligence (AI) deployment can provide in achieving a circular economy model and the UNs Sustainable Development Goals (SDGs). For such purpose, the report provides a novel concept of sharing data between key players that we have named data cross-pollination. Drawing on this concept, it considers four SDGs, i.e., energy, sustainable food systems, reducing pollution, and smart cities. Building on case studies and initiatives, the report highlights the main challenges and opportunities of utilizing data to achieve a circular economy model and sustainable development. It also looks into the potential of AI to enrich such data cross-pollination and focuses on potential applications of AI in circular innovation that can be transposed in the public sector.
4
Galo, José, Enrico Di Martino, Jesús María Velásquez Bermúdez e Alberto Delgadillo Gomez. Tecnologías de Inteligencia Artificial (AI) en el mantenimiento de activos del sector eléctrico. Banco Interamericano de Desarrollo, maggio 2023. http://dx.doi.org/10.18235/0004901.
Abstract (sommario):
El presente estudio ofrece una visión global sobre la importancia de abordar el Mantenimiento de Activos del sector eléctrico, en el marco de las Tecnologías de Inteligencia Artificial y nuevas tecnologías, mediante la implementación de metodologías de analítica avanzada (Mantenimiento Pronostico de la Salud, Prognostic Health Maintenance o PHM) para lograr una posición competitiva en términos de minimización de costes y maximización de beneficios.
5
Gelles, Rebecca, Zachary Arnold, Ngor Luong e Jennifer Melot. PARAT – Tracking the Activity of AI Companies. Center for Security and Emerging Technology, giugno 2021. http://dx.doi.org/10.51593/20200100.
Abstract (sommario):
CSET’s Private-sector AI-Related Activity Tracker (PARAT) collects data related to companies’ AI research and development to inform analysis of the global AI sector. The global AI market is already expanding rapidly and is likely to continue growing in the coming years. Identifying “AI companies” helps illustrate the size and health of the AI industry in which they participate as well as the most sought-after skills and experience in the AI workforce.
6
Goode, Kayla, Heeu Millie Kim e Melissa Deng. Examining Singapore’s AI Progress. Center for Security and Emerging Technology, marzo 2023. http://dx.doi.org/10.51593/2021ca014.
Abstract (sommario):
Despite being a small city-state, Singapore’s star continues to rise as an artificial intelligence hub presenting significant opportunities for international collaboration. Initiatives such as fast-tracking patent approval, incentivizing private investment, and addressing talent shortfalls are making the country a rapidly growing global AI hub. Such initiatives offer potential models for those seeking to leverage the technology and opportunities for collaboration in AI education and talent exchanges, research and development, and governance. The United States and Singapore share similar goals regarding the development and use of trusted and responsible AI and should continue to foster greater collaboration among public and private sector entities.
7
Tabassi, Elham. AI Risk Management Framework. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ai.100-1.
Abstract (sommario):
As directed by the National Artificial Intelligence Initiative Act of 2020 (P.L. 116-283), the goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems. The Framework is intended to be voluntary, rights-preserving, non-sector specific, and use-case agnostic, providing flexibility to organizations of all sizes and in all sectors and throughout society to implement the approaches in the Framework. The AI RMF is intended to be practical, to adapt to the AI landscape as AI technologies continue to develop, and to be operationalized by organizations in varying degrees and capacities so society can benefit from AI while also being protected from its potential harms.
8
Mehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo e Danielle Liao. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, aprile 2020. http://dx.doi.org/10.53328/lotc2968.
Abstract (sommario):
The report recommends that: 1) Policymakers should conduct holistic assessments of social, economic, and cultural factors before AI adoption in the water sector, as prospective applications of AI are case- specific. It is also important to conduct baseline studies to measure the implementation capacity, return on investment, and impact of intervention. 2) To ensure positive development outcomes, policies regarding the use of AI for water-related challenges should be coupled with capacity and infrastructure development policies. Capacity development policies need to address the AI and Information and Communications Technology (ICT) needs for the AI-related skill development of all water-related stakeholders. Infrastructure development policies should address the underlying requirements of computation, energy, data generation, and storage. The sequencing of these policies is critical. 3) To mitigate the predicted job displacement that will accompany AI-led innovation in the water sector, policies should direct investments towards enabling a skilled workforce by developing water sector-related education at all levels. This skilled workforce should be strategically placed to offset dependency on the private sector. 4) Water-related challenges are cross-cutting running from grassroots to the global level and require an understanding of the water ecosystem. It is important for countries connected by major rivers and watersheds to collaborate in developing policies that advance the use of AI to address common water-related challenges. 5) A council or agency with representation from all stakeholders should be constituted at the national level, to allow for the successful adoption of AI by water agencies. This council or agency should be tasked with the development of policies, guidelines, and codes of conduct for the adoption of AI in the water-sector. These key policy recommendations can be used as primary guidelines for the development of strategies and plans to use AI to help achieve water-related SDGs.
9
Arnold, Zachary, Rebecca Gelles e Ilya Rahkovsky. Identifying AI-Related Companies: A Conceptual Outline and Proof of Concept. Center for Security and Emerging Technology, luglio 2020. http://dx.doi.org/10.51593/20200018.
Abstract (sommario):
Artificial intelligence is of increasing interest to the private sector, but what exactly constitutes an “AI company?” This data brief offers a flexible, data-driven framework for identifying the companies most relevant in this field at the moment, providing policymakers and researchers with a tool for mapping technology transfer risks and gauging the overall health of America’s AI sector.
10
Gelles, Rebecca, Tim Hwang e Simon Rodriguez. Mapping Research Agendas in U.S. Corporate AI Laboratories. Center for Security and Emerging Technology, aprile 2021. http://dx.doi.org/10.51593/20200037.
Abstract (sommario):
Leading U.S. companies are investing in the broad research field of artificial intelligence (AI), but where, specifically, are they making these investments? This data brief provides an analysis of the research papers published by Amazon, Apple, Facebook, Google, IBM, and Microsoft over the past decade to better understand what work their labs are prioritizing, and the degree to which these companies have similar or different research agendas overall. The authors find that major “AI companies” are often focused on very different subfields within AI, and that the private sector may be failing to make research investments consistent with ensuring long-term national competitiveness.