Análise da resistência a sistemas de informação: a percepção dos gestores de tecnologia da informação acerca de sistemas ERP

Este trabalho visa obter e verificar empiricamente um meta-modelo que possa apoiar e aprofundar a compreensão do fenômeno da resistência a sistemas de informação. Tratase de uma pesquisa explanatória e quantitativa na qual faz-se, por meio de uma extensa revisão da literatura mundial, o levantamento e consolidação das principais teorias e modelos existentes sobre o tema. Dessa forma, buscando obter um melhor entendimento do problema de pesquisa, propõe-se um meta-modelo de fatores pertinentes ao comportamento de resistência a sistemas de informação. Neste modelo, considera-se um conjunto de aspectos que, embora já abordados anteriormente, em sua maior parte ainda não haviam sido testados empiricamente, quais sejam: (i) as características idiossincráticas dos indivíduos, (ii) os aspectos técnicos inerentes aos sistemas de informação, (iii) as características da interação sócio-técnica, (iv) as características da interação de poder e políticas e, finalmente, (v) as características das organizações nas quais a tecnologia e o homem estão inseridos e interagem entre si. O instrumento de pesquisa utilizado no trabalho foi um questionário estruturado, aplicado via Internet, com suas questões contextualizadas quanto aos sistemas de gestão empresarial ERPs: Enterprise Resource Planning Systems. Obteve-se um total de 169 respondentes, considerando-se uma amostra composta exclusivamente por gestores de tecnologia da informação (TI) brasileiros e que tenham vivenciado pelo menos uma experiência de implantação de sistemas ERP ao longo de suas carreiras. Uma vez realizada a coleta dos dados, foram empregados testes estatísticos relativos à análise fatorial, visando alcançar um modelo definitivo. A partir do novo modelo encontrado, por meio da validação proporcionada pela análise fatorial, cada fator identificado representou uma causa para o comportamento de resistência a sistemas de informação. Por fim, testou-se também hipóteses a partir do novo modelo identificado, verificando-se as relações entre a percepção direta dos gestores quanto à resistência e os diversos fatores considerados relevantes para a explicação deste comportamento. Como resultado do estudo, consolidou-se um modelo de análise do comportamento de resistência a sistemas de informação, baseado na percepção do gestor de TI e contextualizado nos sistemas ERPs.

Antecedentes à resistência à implantação de sistemas de informação: uma análise de sistemas de gestão eletrônica de documentos

O trabalho a seguir objetivou o desenvolvimento de um meta-modelo de análise para estudo do fenômeno da resistência durante a implementação de um sistema de gerenciamento eletrônico de documentos (GED). O estudo foi conduzido por meio de uma abordagem quantitativa e explanatória e buscou elencar os principais expoentes da literatura acadêmica no tema da resistência. A partir de suas concepções, os fatores mais relevantes no campo da resistência contextualizada a um sistema de gerenciamento eletrônico de documentos foram evidenciados. O meta-modelo gerado, o qual serviu de base para a análise estatística, identificou os seguintes antecedentes ao comportamento de resistência: características pessoais, sistemas e interação. Este, por sua vez, divide-se na interação poder e política e na interação sócio-técnica. A partir da identificação desses vetores e montagem do meta-modelo, foi elaborado um questionário de investigação, o qual foi distribuído via Internet. Foram colhidas 133 respostas de usuários que tivessem vivenciado pelo menos uma experiência de implantação de um sistema de gerenciamento eletrônico de documentos. Os dados foram então submetidos a tratamento estatístico na ferramenta SPSS por meio de análise fatorial e regressão linear múltipla. Os resultados obtidos permitiram identificar os fatores de maior influência no comportamento de resistência e confirmar/refutar as hipóteses originalmente propostas. O meta-modelo gerado também promoveu a discussão dos resultados com base na teoria utilizada, gerando novos insights para o entendimento do comportamento de resistência no contexto do GED.

Mhealth entrepreneurship: an exploratory research for a managerial model for mhealth start ups in low and middle income countries

Since some years, mobile technologies in healthcare (mHealth) stand for the transformational force to improve health issues in low- and middle-income countries (LMICs). Although several studies have identified the prevailing issue of inconsistent evidence and new evaluation frameworks have been proposed, few have explored the role of entrepreneurship to create disruptive change in a traditionally conservative sector. I argue that improving the effectiveness of mHealth entrepreneurs might increase the adoption of mHealth solutions. Thus, this study aims at proposing a managerial model for the analysis of mHealth solutions from the entrepreneurial perspective in the context of LMICs. I identified the Khoja–Durrani–Scott (KDS) framework as theoretical basis for the managerial model, due to its explicit focus on the context of LMICs. In the subsequent exploratory research I, first, used semi-structured interviews with five specialists in mHealth, local healthcare systems and investment to identify necessary adaptations to the model. The findings of the interviews proposed that especially the economic theme had to be clarified and an additional entrepreneurial theme was necessary. Additionally, an evaluation questionnaire was proposed. In the second phase, I applied the questionnaire to five start-ups, operating in Brazil and Tanzania, and conducted semi-structured interviews with the entrepreneurs to gain practical insights for the theoretical development. Three of five entrepreneurs perceived that the results correlated with the entrepreneurs' expectations of the strengths and weaknesses of the start-ups. Main shortcomings of the model related to the ambiguity of some questions. In addition to the findings for the model, the results of the scores were analyzed. The analysis suggested that across the participating mHealth start-ups the ‘behavioral and socio-technical’ outcomes were the strongest and the ‘policy’ outcomes were the weakest themes. The managerial model integrates several perspectives, structured around the entrepreneur. In order to validate the model, future research may link the development of a start-up with the evolution of the scores in longitudinal case studies or large-scale tests.

Design e management: um estudo de ciência e tecnologia no campo dos estudos organizacionais

Esta dissertação se propõe a cartografar as redes sociotécnicas do design no campo do management nos moldes propostos pela Teoria Ator-Rede e apresentar o processo de translação pelo qual passou o termo ao adentrar no campo. Para tal, levantou e analisou artigos publicados sobre o tema nos principais periódicos da área de organizações e publicações. Estes textos demonstram como, nas últimas décadas, o design tem passado por uma expansão de sentido e aplicação na direção do management (ou do management no sentido do design), através das abordagens denominadas design thinking, design science ou design process. A pesquisa se justifica, uma vez que este assunto está presente nos principais periódicos do management e dos estudos organizacionais, como uma importante ferramenta para solução de problemas que desafiam os sistemas organizacionais, como: a mudança, o empreendedorismo e a inovação (Stephens & Boland, 2014). É importante destacar que o design tem sido cada vez mais considerado uma atividade decisiva na batalha econômica (Callon, 1986), na determinação dos atuais estilos de vida (lifestyle) e na construção de nosso mundo futuro. No campo dos estudos organizacionais, como demonstrou esta pesquisa, o design surge como uma abordagem que supera a dicotomia entre positivismo e a abordagem crítica na teoria organizacional (Jelinek, Romme & Boland, 2008). Por fim, esta dissertação se ateve à cartografia das redes sociotécnicas e à descrição das quatro principais fases do processo de translação do design no campo do management, a saber: (a) problematização, marcada pela publicação de The Sciences of Artificial em 1969 de Herbert A. Simon, no qual, ele argumenta pelo design como uma habilidade básica para todas as especialidades profissionais, incluindo a gestão (Simon, 1996), (b) interessamento, designers defendendo um design de sistemas complexos como as organizações, (c) engajamento, designers e teóricos das organizações juntos pelo design no management como uma alternativa para a superação da dicotomia entre positivismo e os estudos críticos na administração, e, (d) mobilização, na qual os teóricos das organizações partem em defesa do design no management como um forma de dar conta de modelos organizacionais contemporâneos com fronteiras mais permeáveis e em constante reformulação

Blog diários: reflexões sobre a identidade indígena na virtualidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Multifuncionalidade da paisagem em assentamentos rurais nos entornos de usina canavieira e do Parque Estadual Morro do Diabo (SP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Multifuncionalidade da paisagem em assentamentos rurais nos entornos de usina canavieira e do Parque Estadual Morro do Diabo (SP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Mental states monitoring through passive Brain-Computer Interface systems

The monitoring of cognitive functions aims at gaining information about the current cognitive state of the user by decoding brain signals. In recent years, this approach allowed to acquire valuable information about the cognitive aspects regarding the interaction of humans with external world. From this consideration, researchers started to consider passive application of brain–computer interface (BCI) in order to provide a novel input modality for technical systems solely based on brain activity. The objective of this thesis is to demonstrate how the passive Brain Computer Interfaces (BCIs) applications can be used to assess the mental states of the users, in order to improve the human machine interaction. Two main studies has been proposed. The first one allows to investigate whatever the Event Related Potentials (ERPs) morphological variations can be used to predict the users’ mental states (e.g. attentional resources, mental workload) during different reactive BCI tasks (e.g. P300-based BCIs), and if these information can predict the subjects’ performance in performing the tasks. In the second study, a passive BCI system able to online estimate the mental workload of the user by relying on the combination of the EEG and the ECG biosignals has been proposed. The latter study has been performed by simulating an operative scenario, in which the occurrence of errors or lack of performance could have significant consequences. The results showed that the proposed system is able to estimate online the mental workload of the subjects discriminating three different difficulty level of the tasks ensuring a high reliability.

Comparison of clinical knowledge management capabilities of commercially-available and leading internally-developed electronic health records.

BACKGROUND: We have carried out an extensive qualitative research program focused on the barriers and facilitators to successful adoption and use of various features of advanced, state-of-the-art electronic health records (EHRs) within large, academic, teaching facilities with long-standing EHR research and development programs. We have recently begun investigating smaller, community hospitals and out-patient clinics that rely on commercially-available EHRs. We sought to assess whether the current generation of commercially-available EHRs are capable of providing the clinical knowledge management features, functions, tools, and techniques required to deliver and maintain the clinical decision support (CDS) interventions required to support the recently defined "meaningful use" criteria. METHODS: We developed and fielded a 17-question survey to representatives from nine commercially available EHR vendors and four leading internally developed EHRs. The first part of the survey asked basic questions about the vendor's EHR. The second part asked specifically about the CDS-related system tools and capabilities that each vendor provides. The final section asked about clinical content. RESULTS: All of the vendors and institutions have multiple modules capable of providing clinical decision support interventions to clinicians. The majority of the systems were capable of performing almost all of the key knowledge management functions we identified. CONCLUSION: If these well-designed commercially-available systems are coupled with the other key socio-technical concepts required for safe and effective EHR implementation and use, and organizations have access to implementable clinical knowledge, we expect that the transformation of the healthcare enterprise that so many have predicted, is achievable using commercially-available, state-of-the-art EHRs.

Estilos socio-técnicos de producción de tecnologías conocimiento-intensivas : La conformación de una empresa de biotecnología en el campo de la salud humana en Argentina (1980-2006)

Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

Estilos socio-técnicos de producción de tecnologías conocimiento-intensivas : La conformación de una empresa de biotecnología en el campo de la salud humana en Argentina (1980-2006)

Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

Estilos socio-técnicos de producción de tecnologías conocimiento-intensivas : La conformación de una empresa de biotecnología en el campo de la salud humana en Argentina (1980-2006)

Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Emotion is generally argued to be an influence on the behavior of life systems, largely concerning flexibility and adaptivity. The way in which life systems acts in response to a particular situations of the environment, has revealed the decisive and crucial importance of this feature in the success of behaviors. And this source of inspiration has influenced the way of thinking artificial systems. During the last decades, artificial systems have undergone such an evolution that each day more are integrated in our daily life. They have become greater in complexity, and the subsequent effects are related to an increased demand of systems that ensure resilience, robustness, availability, security or safety among others. All of them questions that raise quite a fundamental challenges in control design. This thesis has been developed under the framework of the Autonomous System project, a.k.a the ASys-Project. Short-term objectives of immediate application are focused on to design improved systems, and the approaching of intelligence in control strategies. Besides this, long-term objectives underlying ASys-Project concentrate on high order capabilities such as cognition, awareness and autonomy. This thesis is placed within the general fields of Engineery and Emotion science, and provides a theoretical foundation for engineering and designing computational emotion for artificial systems. The starting question that has grounded this thesis aims the problem of emotion--based autonomy. And how to feedback systems with valuable meaning has conformed the general objective. Both the starting question and the general objective, have underlaid the study of emotion, the influence on systems behavior, the key foundations that justify this feature in life systems, how emotion is integrated within the normal operation, and how this entire problem of emotion can be explained in artificial systems. By assuming essential differences concerning structure, purpose and operation between life and artificial systems, the essential motivation has been the exploration of what emotion solves in nature to afterwards analyze analogies for man--made systems. This work provides a reference model in which a collection of entities, relationships, models, functions and informational artifacts, are all interacting to provide the system with non-explicit knowledge under the form of emotion-like relevances. This solution aims to provide a reference model under which to design solutions for emotional operation, but related to the real needs of artificial systems. The proposal consists of a multi-purpose architecture that implement two broad modules in order to attend: (a) the range of processes related to the environment affectation, and (b) the range or processes related to the emotion perception-like and the higher levels of reasoning. This has required an intense and critical analysis beyond the state of the art around the most relevant theories of emotion and technical systems, in order to obtain the required support for those foundations that sustain each model. The problem has been interpreted and is described on the basis of AGSys, an agent assumed with the minimum rationality as to provide the capability to perform emotional assessment. AGSys is a conceptualization of a Model-based Cognitive agent that embodies an inner agent ESys, the responsible of performing the emotional operation inside of AGSys. The solution consists of multiple computational modules working federated, and aimed at conforming a mutual feedback loop between AGSys and ESys. Throughout this solution, the environment and the effects that might influence over the system are described as different problems. While AGSys operates as a common system within the external environment, ESys is designed to operate within a conceptualized inner environment. And this inner environment is built on the basis of those relevances that might occur inside of AGSys in the interaction with the external environment. This allows for a high-quality separate reasoning concerning mission goals defined in AGSys, and emotional goals defined in ESys. This way, it is provided a possible path for high-level reasoning under the influence of goals congruence. High-level reasoning model uses knowledge about emotional goals stability, letting this way new directions in which mission goals might be assessed under the situational state of this stability. This high-level reasoning is grounded by the work of MEP, a model of emotion perception that is thought as an analogy of a well-known theory in emotion science. The work of this model is described under the operation of a recursive-like process labeled as R-Loop, together with a system of emotional goals that are assumed as individual agents. This way, AGSys integrates knowledge that concerns the relation between a perceived object, and the effect which this perception induces on the situational state of the emotional goals. This knowledge enables a high-order system of information that provides the sustain for a high-level reasoning. The extent to which this reasoning might be approached is just delineated and assumed as future work. This thesis has been studied beyond a long range of fields of knowledge. This knowledge can be structured into two main objectives: (a) the fields of psychology, cognitive science, neurology and biological sciences in order to obtain understanding concerning the problem of the emotional phenomena, and (b) a large amount of computer science branches such as Autonomic Computing (AC), Self-adaptive software, Self-X systems, Model Integrated Computing (MIC) or the paradigm of models@runtime among others, in order to obtain knowledge about tools for designing each part of the solution. The final approach has been mainly performed on the basis of the entire acquired knowledge, and described under the fields of Artificial Intelligence, Model-Based Systems (MBS), and additional mathematical formalizations to provide punctual understanding in those cases that it has been required. This approach describes a reference model to feedback systems with valuable meaning, allowing for reasoning with regard to (a) the relationship between the environment and the relevance of the effects on the system, and (b) dynamical evaluations concerning the inner situational state of the system as a result of those effects. And this reasoning provides a framework of distinguishable states of AGSys derived from its own circumstances, that can be assumed as artificial emotion.

Societal transformation and climate change adaptation : PAR experiences in Portugal

Tese de doutoramento, Alterações Climáticas e Políticas de Desenvolvimento Sustentável (Sociologia), Universidade de Lisboa, Instituto de Ciências Sociais, 2016

Educational Systems for Maximizing Learning Online and in the Classroom

Thesis (Ph.D.)--University of Washington, 2016-06