Un enfoque de toma de decisiones multicriterio aplicado a la estrategia de transformación digital de las organizaciones por medio de la inteligencia artificial responsable en la nube de las organizaciones. Estudio de caso en el sector de salud

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Estudios Estadísticos, leída el 08-02-2023Organisations are committed to understanding both the needs of their customers and the capabilities and plans of their competitors and partners, through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most organisations in the last few years have defined that one of their main strategic objectives for the next few years is to become a truly data-driven organisation in the current Big Data and Artificial Intelligence (AI) context (Moreno et al., 2019). They are willing to invest heavily in Data and AI Strategy and build enterprise data and AI platforms that will enable this Market-Oriented vision (Moreno et al., 2019). In this thesis, it is presented a Multicriteria Decision Making (MCDM) model (Saaty, 1988), an AI Digital Cloud Transformation Strategy and a cloud conceptual architecture to help AI leaders and organisations with their Responsible AI journey, capable of helping global organisations to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches)...Las organizaciones se comprometen a comprender tanto las necesidades de sus clientes como las capacidades y planes de sus competidores y socios, a través de procesos de adquisición y evaluación de información de mercado de manera sistemática y anticipatoria. Por otro lado, la mayoría de las organizaciones en los últimos años han definido que uno de sus principales objetivos estratégicos para los próximos años es convertirse en una organización verdaderamente orientada a los datos (data-driven) en el contexto actual de Big Data e Inteligencia Artificial (IA) (Moreno et al. al., 2019). Están dispuestos a invertir fuertemente en datos y estrategia de inteligencia artificial y construir plataformas de datos empresariales e inteligencia artificial que permitan esta visión orientada al mercado (Moreno et al., 2019). En esta tesis, se presenta un modelo de toma de decisiones multicriterio (MCDM) (Saaty, 1988), una estrategia de transformación digital de IA de la nube y una arquitectura conceptual de nube para ayudar a los líderes y organizaciones de IA en su viaje de IA responsable, capaz de ayudar a las organizaciones globales a pasar del uso de datos descriptivos a prescriptivos y aprovechar los servicios en la nube existentes para ofrecer una verdadera orientación al mercado en un tiempo mucho más corto (en comparación con los enfoques tradicionales)...Fac. de Estudios EstadísticosTRUEunpu

Investigating the role of social media in polio prevention in India: a Delphi-DEMATEL approach

Abstract Purpose- This study aims to evaluate the role of social media (SM) tools in the polio prevention in an Indian context, using a hybrid Delphi-DEMATEL approach. Design/methodology/approach- A preliminary list of suitable evaluation criteria was derived from an extensive literature review. Ten experts were then contacted to collect data and finalize the most prominent criteria using the Delphi method. To establish cause-effect relationships among the criteria, further data were collected from twenty-one experts. The decision-making trial and evaluation laboratory (DEMATEL) method was applied to process and interpret the data collected. Findings- The analysis grouped criteria into two sets, i.e. cause and effect. The results show that awareness of social cause and government utilization of resources fall into the cause group; these elements are critical since both directly affect the remaining criteria. These outcomes can help government and businesses to utilize SM for public health surveillance, e.g. to promote schemes/initiatives through sites concerning polio or related health issues. Practical implications- The findings of this research are useful for governments and individual companies to conceive their marketing initiatives akin to polio prevention issues using SM. Originality/value- Despite the emergence of SM, there has been little discussion in existing literature on their role for polio prevention; however, measuring such role could be useful in practice, to help decision makers (DMs) exploiting the potential of SM in the healthcare context. To fill this gap, this study aims to measure the role of SM in polio prevention in the Indian context and to create a cause-effect evaluation model. Using an integrated Delphi-DEMATEL framework for decision-making in the healthcare context is another novelty of this study.N

An application of DEMATEL for transaction authentication in online banking

Business trades among individuals, companies, firms, enterprises, and governments are rapidly expelled from their traditional mode, which were mainly based on paper-based exchange, and are geared towards trading through information-based systems. E-commerce has opened up a new field in terms of speed, efficiency, cost savings, and the exploitation of fleeting opportunities. This paper evaluates different authentication methods for online banking in Parsian Bank, which is one of the biggest private banks in Iran. The study designs a questionnaire and distributes it among some experts to find cause and effect factors based on a multi-criteria decision making technique named Decision Making Trial And Evaluation Laboratory (DEMATEL). The study evaluates 12 criteria and divides them into two groups of cause and effect. “Use of mobile systems in authenti-cation methods”, “Authentication with fingerprint and smart card”, “Authentication with bank card and password”, and “Authentication with digital signatures and passwords” are considered as the causative group, while “Authentication with a bank card”, “Biometric authentication and disposable codes” and “Authentication with digital signature” are among the effective group

Strategic Logistics Outsourcing:Integrated Models for Evaluating and Selecting Logistics Service Providers (LSPs) Upstream/Downstream Supply Chain Comparison

This research aims to maximize the logistics outsourcing benefits through developing new hybrid models for evaluating and selecting Logistics Service Providers (LSPs). The growing demand for logistics outsourcing and the increase in the number and type of LSPs highlight the increasing importance of the LSP evaluation and selection process. Firms use various approaches to evaluate and select their LSP partners. Most of these approaches seem to have overlooked the strategic side of the logistics outsourcing process. Additionally, the uncertainty issue of data, the complexity of the decision and the large number of criteria involved increase the attractiveness of the Multi-Criteria Decision-Making (MCDM) approaches. A comparative literature review was used in order to identify crucial factors and methods that are used in logistics literature in fragmented ways and therefore, to establish and design a conceptual framework and models for logistics outsourcing. First, a long list of evaluation criteria was developed. Three main dimensions were identified: logistics performance, logistics resources and logistics services. Then a conceptual framework was developed using the three main dimensions with their related factors. Based on the comparative literature review outcomes, a number of integrated models have been developed and used to achieve this aim with emphasis given to FDEMATEL, FTOPSIS and FQFD techniques. Whereas the FDEMATEL technique contributed to construct influence relationships between factors under each dimension, develop impact-relationship maps and identify dependent and independent success factors (ISFs), the FTOPSIS technique used the weighted success factors to evaluate, rank and select the best LSP in three case studies. Twenty-one ISFs have been identified to be used in the final approach. These ISFs consist of eight LKPIs, seven logistics services and six logistics resources and capabilities. All of the factors were used to evaluate and select the best LSP alternative and ISFs were used to conduct the evaluation process. Different sensitivity analysis tests are used to confirm models’ robustness. Based on the outcomes of both cases, decision makers can use independent factors alone to evaluate and select the best LSP, which simplified the logistics outsourcing process in our study. The FQFD technique was used to link the LSUs strategic objectives with logistics requirements and the ISFs to develop a new strategic logistics outsourcing approach. Finally, two case studies representing the supply chain upstream and downstream are used to demonstrate the new hybrid approach effectiveness. The comparison of both cases’ findings highlighted their differences in terms of strategic objectives, logistics requirements and ISFs

An Investigation on Benefit-Cost Analysis of Greenhouse Structures in Antalya

Significant population increase across the world, loss of cultivable land and increasing demand for food put pressure on agriculture. To meet the demand, greenhouses are built, which are, light structures with transparent cladding material in order to provide controlled microclimatic environment proper for plant production. Conceptually, greenhouses are similar with manufacturing buildings where a controlled environment for manufacturing and production have been provided and proper spaces for standardized production processes have been enabled. Parallel with the trends in the world, particularly in southern regions, greenhouse structures have been increasingly constructed and operated in Turkey. A significant number of greenhouses are located at Antalya. The satellite images demonstrated that for over last three decades, there has been a continuous invasion of greenhouses on all cultivable land. There are various researches and attempts for the improvement of greenhouse design and for increasing food production by decreasing required energy consumption. However, the majority of greenhouses in Turkey are very rudimentary structures where capital required for investment is low, but maintenance requirements are high when compared with new generation greenhouse structures. In this research paper, life-long capital requirements for construction and operation of greenhouse buildings in Antalya has been investigated by using benefit-cost analysis study

Knowledge Capturing in Design Briefing Process for Requirement Elicitation and Validation

Knowledge capturing and reusing are major processes of knowledge management that deal with the elicitation of valuable knowledge via some techniques and methods for use in actual and further studies, projects, services, or products. The construction industry, as well, adopts and uses some of these concepts to improve various construction processes and stages. From pre-design to building delivery knowledge management principles and briefing frameworks have been implemented across project stakeholders: client, design teams, construction teams, consultants, and facility management teams. At pre-design and design stages, understanding the client’s needs and users’ knowledge are crucial for identifying and articulating the expected requirements and objectives. Due to underperforming results and missed goals and objectives, many projects finish with highly dissatisfied clients and loss of contracts for some organizations. Knowledge capturing has beneficial effects via its principles and methods on requirement elicitation and validation at the briefing stage between user, client and designer. This paper presents the importance and usage of knowledge capturing and reusing in briefing process at pre-design and design stages especially the involvement of client and user, and explores the techniques and technologies that are usable in briefing process for requirement elicitation

Enhancing the supply chain collaboration model in the Nigerian oil and gas industry : a case study of performance improvement strategies

This research focuses on the issues of supply chain collaboration in the oil and gas industry, specifically in Nigeria. global inflation, geopolitical events, logistic complexity, worldwide pandemics, cultural reorientation, information system difficulties, process integration, and organisational restructuring are among the listed challenges. There is a paucity of frameworks or models in the existing literature to handle these supply chain collaboration difficulties unique to the oil and gas sector. Four supply management theories (Resource Dependency Theory, Transaction Cost Theory, System Theory, and Network Theory) were employed to support the thesis. The researcher was motivated by personal experiences and realising the importance of the oil and gas sector to Nigeria's existence, the researcher seeks to investigate how supply chain collaboration might lead to industry performance improvement. The researcher is particularly interested in comprehending supply chain dynamics in the Nigerian oil and gas industry, as well as how collaboration might reduce obstacles associated with obtaining inputs. The purpose is to provide a steady supply of oil and gas products on the market, enhance operations, and address challenges caused by poor infrastructure and unclear government policies. A qualitative research method was used to fulfil these study aims, with an emphasis on gaining insights from managers and employees at four selected companies: NNPC, A. A. Rano, Total Nigeria, and Rain Oil. The obtained data was thematically analysed to identify significant pattern about supply chain collaboration leading to performance improvement. The study contributes to existing knowledge by identifying sixteen key findings, which include goal alignment, teamwork, performance management, relationship management, timeliness and order management, quality management, infrastructure, decision making, finance, COVID-19 pandemics, infrastructure development, poor leadership, process monitoring and evaluation, business strategy management, training and development, and good planning. Moreover, this study fills a gap in the literature by integrating these sixteen findings to develop a supply chain collaboration model as an effective strategy for mitigating supply chain challenges in the Nigerian oil and gas industry. The model was validated by managers from the participating companies, affirming its potential for performance improvement. In conclusion, this study helps better understand the difficulties the Nigerian oil and gas supply chain faces. It also includes a verified model that can be used to improve performance and offers insights into the advantages of supply chain collaboration. To further knowledge in this field, recommendations are provided for future studies, such as use of quantitative research method, comparative or mixed-method research, to further examine supply chain problems in the Nigerian oil and gas sector and related themes using case studies.This research focuses on the issues of supply chain collaboration in the oil and gas industry, specifically in Nigeria. global inflation, geopolitical events, logistic complexity, worldwide pandemics, cultural reorientation, information system difficulties, process integration, and organisational restructuring are among the listed challenges. There is a paucity of frameworks or models in the existing literature to handle these supply chain collaboration difficulties unique to the oil and gas sector. Four supply management theories (Resource Dependency Theory, Transaction Cost Theory, System Theory, and Network Theory) were employed to support the thesis. The researcher was motivated by personal experiences and realising the importance of the oil and gas sector to Nigeria's existence, the researcher seeks to investigate how supply chain collaboration might lead to industry performance improvement. The researcher is particularly interested in comprehending supply chain dynamics in the Nigerian oil and gas industry, as well as how collaboration might reduce obstacles associated with obtaining inputs. The purpose is to provide a steady supply of oil and gas products on the market, enhance operations, and address challenges caused by poor infrastructure and unclear government policies. A qualitative research method was used to fulfil these study aims, with an emphasis on gaining insights from managers and employees at four selected companies: NNPC, A. A. Rano, Total Nigeria, and Rain Oil. The obtained data was thematically analysed to identify significant pattern about supply chain collaboration leading to performance improvement. The study contributes to existing knowledge by identifying sixteen key findings, which include goal alignment, teamwork, performance management, relationship management, timeliness and order management, quality management, infrastructure, decision making, finance, COVID-19 pandemics, infrastructure development, poor leadership, process monitoring and evaluation, business strategy management, training and development, and good planning. Moreover, this study fills a gap in the literature by integrating these sixteen findings to develop a supply chain collaboration model as an effective strategy for mitigating supply chain challenges in the Nigerian oil and gas industry. The model was validated by managers from the participating companies, affirming its potential for performance improvement. In conclusion, this study helps better understand the difficulties the Nigerian oil and gas supply chain faces. It also includes a verified model that can be used to improve performance and offers insights into the advantages of supply chain collaboration. To further knowledge in this field, recommendations are provided for future studies, such as use of quantitative research method, comparative or mixed-method research, to further examine supply chain problems in the Nigerian oil and gas sector and related themes using case studies

How digital data are used in the domain of health: A short review of current knowledge

In the era of digitalization, digital data is available about every aspect of our daily lives, including our physical and mental health. Digital data has been applied in the domain of healthcare for the detection of an outbreak of infectious diseases, clinical decision support, personalized care, and genomics. This paper will serve as a review of the rapidly evolving field of digital health. More specifically, we will discuss (1) big data and physical health, (2) big data and mental health, (3) digital contact tracing during the COVID-19 pandemic, and finally, (4) ethical issues with using digital data for health-related purposes. With this review, we aim to stimulate a public debate on the appropriate usage of digital data in the health sector

Análise da produção científica sobre o papel do escritório de projetos na gestão do conhecimento período de 2004 a 2014

Orientador : Prof. Dr. José Simão de Paula PintoDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Sociais Aplicadas, Programa de Pós-Graduação em Ciência, Gestão e Tecnologia da Informação. Defesa: Curitiba, 27/02/2015Inclui referênciasResumo: Analisa a produção científica referente ao período de 2004 a 2014, de artigos publicados em periódicos científicos indexados por bases indexadoras, sobre gestão do conhecimento e gestão de projetos, programas e portfólio (Grupo I) e sobre gestão do conhecimento em projetos, programas e portfólio e o escritório de gestão de projetos, programas e portfólio (Grupo II). Foi utilizado método informétrico baseado na lei de Zipf (frequência das palavras), Luhn (posicionamento das palavras de maior conteúdo semântico) e Goffman (determinação do ponto de transição) para identificar os termos que melhor descrevem o conteúdo dos dois grupos de artigos. Para caracterizar a produção científica, foram utilizados métodos bibliométricos baseado nas leis de Lotka (produtividade de autores) e Bradford (produtividade de periódicos), e cientométrico (países e instituições com maior produção e citações), com a utilização do software HistCite para as análises bibliométricas. O experimento informétrico baseado na lei de Zipf para o Grupo I identificou 237 palavras-chave as quais apresentaram 79% de compatibilidade quando comparadas às palavras-chave fornecidas pelos autores. O experimento informétrico baseado na lei de Zipf para o Grupo II identificou 8 palavras-chave as quais apresentaram 63% de compatibilidade comparadas às palavras chave fornecidas pelos autores. Para o Grupo I foram identificados 41 autores com 3 ou mais contribuições no período e para o Grupo II foi identificado 1 autor com 3 contribuições no período. Palavras-chave: Informetria. Bibliometria. Cientometria. Gestão do conhecimento. Gestão de projetos. Gestão de programas de projetos. Gestão de portfólio de projetos. Escritório de gerenciamento de projetos.Abstract: This research analyzes the scientific production of papers published in scientific journals from 2004 to 2014 and indexed by , on knowledge management and project, program and portfolio management, (referred as Group I) and on knowledge management, project, program and portfolio management, and project management office (referred as Group II). The informetric method used was based on Zipf's law (words frequency), Luhn (position of the words with higher semantic content) and Goffman (transition point) to identify terms that better describe the contents of the two groups of articles. Bibliometric methods were used in order to characterize the scientific production, were used bibliometric methods based on the laws of Lotka (author productivity) and Bradford (journal's productivity), and scientometric (countries and institutions with higher production and quotes), using the HistCite software. The Group I papers informetric experiment, based on Zipf's law, has identified 237 keywords which showed 79% compatibility compared to the keywords provided by the authors. The Group II informetric experiment, based on Zipf's law, identified 8 keywords which showed 63% compatibility compared to the keywords provided by the authors. For Group I there are 41 authors identified with 3 or more contributions in the period and the Group II was identified one author with three contributions in the period. Key-words: Informetrics. Bibliometrics. Scientometrics. Knowledge management. Project management. Project program management. Project portfolio management. Project management office