This study utilizes an electronic learning (E-learning) innovation model to analyze the differences in technological knowledge, learning service delivery model and impact on the stakeholders. The results indicated that the innovation from traditional classroom learning to E-learning is radical for learner and instructor, leading to drastic changes in the technology knowledge and learning related service delivery model. Thereafter, the critical impacts of e-learning innovations on the stakeholders are identified.

The improvement and change of IT is one of the reasons which result in globalization. Taiwan has a small market scale; Taiwan¡¦s enterprises must face to global competition and challenge. In this study, we conduct the case study and use a hypercube model to analyze the innovation in technological component, business model, and dynamic capability aspects used in domestic enterprises verse global ones in the chemical industry in Taiwan. The results indicate that the innovation from domestic to globalization is radical in both of business model and technological component. A set of critical dynamic capabilities in technological component and business model for this innovation is then identified. The study offers great insights for practitioners to improve their understanding of innovation in business model and technological component aspects and provide guidelines to help practitioners adapt from domestic to globalization innovation.

Over the past decade, the rapid developments and growth of information and communication technology (ICT) have triggered a new wave of financial innovation¡Ðelectronic banking (e-banking). This study utilizes a hypercube model with secondary data analysis to analyze the differences in technological knowledge and business model aspects used in e-banking versus bricks-and-mortar banking, so as to explore the core capabilities in these two dimensions of e-banking innovation. The results indicate that the nature of e-banking innovation is disruptive, leading to drastic changes in both technological knowledge and business model for customers and incumbent banks. However, the innovation is modular for provider and architectural for regulators. We further identify nine core technical and eleven core business capabilities that are necessary for the stakeholders to cope with the change, each appearing to address either technical or business aspects of e-banking transformation. The findings have the potential to contribute to the understanding of impacts occurring in the change associated with e-banking and offer rich insights for the stakeholders to exploit e-banking opportunities.

This study utilizes a hypercube model with secondary data analysis and comparative analysis to analyze the gaps in technological knowledge and business model aspects used in e-business versus bricks-and-mortar business for the Hardware Agency, so as to explore the impacts in these two dimensions to the e-business innovation. The results indicate that the nature of e-business innovation is architectural for Hardware Agency, customer, and complementors, leading to drastic change in business model. However, the innovation for suppliers is radical, leading to drastic changes in both technological knowledge and business model. We further identify the core business model (in terms of business, logistic and cash flows) and IT infrastructure that are necessary for the Hardware Agent to cope with the e-business change. The findings have the potential to contribute to the understanding of impacts occurring in the change associated with e-business and offer rich insights for the stakeholders, especially for Hardware Agency to manage e-business innovation.

While mobile technologies and applications are rapidly and widely utilized and adopted in electronic commerce (E-commerce), it is extremely important to better understand the value creation, business model capability and core component capability in mobile commerce (M-commerce). In this study, we conduct the secondary data analysis and use a value shop model to analyze the innovation in technological knowledge, business model, and dynamic capability aspects used in Internet-enabled commerce (I-commerce) versus M-commerce. A set of critical dynamic capabilities for each innovation is then identified. These results provide great insight for practitioners and scholars for enhancing their understanding of M-commerce innovation, and provide guidelines to help practitioners adapt from I-commerce to M-commerce innovation.

Made available in DSpace on 2016-06-02T19:50:24Z (GMT). No. of bitstreams: 1 TeseAPI.pdf: 1231033 bytes, checksum: 51120574caaa9608efc8725f12321b14 (MD5) Previous issue date: 2005-03-11 / Financiadora de Estudos e Projetos / The purpose of this study is to develop effective methods to analyze the configuration and operation of the emergency medical systems (EMS) on highways. Due to the stochastic nature of these systems, especially in the arrival and assistance processes of the emergency calls, we apply the Hypercube Queuing Model to evaluate the performance measures of the system. This is a well-known model in the location literature, which is based on spatially distributed queuing theory. The EMS on highways operate within a particular dispatching policy which considers that only some ambulances in the system can travel to certain regions (partial backup) and multiple dispatch of ambulances to respond to certain calls. In this study we extend the Hypercube model to deal with these situations. Since the Hypercube model is a descriptive model, we also develop a Hypercube embedded genetic algorithm to create a prescriptive approach to optimize the configuration and operation of EMS on highways. This approach can support decisions at the strategic level, for example, the location of ambulances along the highway and the primary response area to each ambulance, as well as, decisions on the operational level, for example, the optimal dispatch policy of ambulances to respond to the emergency calls and the coverage area to each ambulance (if the system configuration can be modified according to the operational conditions of the week or the day). In order to evaluate the performance of the proposed approach, we conducted experiments using the data of two realsystems: the EMS Anjos do Asfalto (Presidente Dutra highway) and EMS Centrovias (portions of the highways Washington Luis, Eng. Paulo Nilo Romano e Comandante João Ribeiro de Barros) in São Paulo State. The results show that the approach is effective to support planning and operation decisions in such systems. / O objetivo deste trabalho é desenvolver métodos efetivos para analisar a configuração e operação de sistemas de atendimento emergencial (SAEs) em rodovias. Devido às características estocásticas de tais sistemas, principalmente nos processos de chegada e atendimento dos chamados de emergência, aplicamos o modelo Hipercubo para analisar as medidas de desempenho do sistema. Este modelo, conhecido na literatura de localização de sistemas de emergência, é baseado em teoria de filas espacialmente distribuídas. Os SAEs em rodovia operam com uma política de despacho particular, a qual admite que apenas algumas ambulâncias do sistema possam viajar a determinadas regiões (backup parcial) e utiliza múltiplo despacho de ambulâncias para atender a certas chamadas. Neste trabalho estendemos o modelo Hipercubo para analisar tais situações. Como o modelo Hipercubo é descritivo, combinamos estas extensões do modelo Hipercubo com um algoritmo genético para obter uma abordagem prescritiva capaz de otimizar a configuração e operação de SAEs em rodovias. Tal abordagem pode ser útil para apoiar decisões no plano estratégico, por exemplo, a localização das bases das ambulâncias ao longo da rodovia e o dimensionamento das regiões de cobertura de cada base. Assim como apoiar decisões no plano operacional, por exemplo, a escolha da política de despacho das ambulâncias para atender chamados de urgência e a determinação das áreas de cobertura de cada servidor (quando a configuração do sistema puder ser alterada de acordo com as condições operacionais de uma semana ou de um dia). Para analisar o desempenho desta abordagem, realizamos estudos de casos com dados reais do sistema Anjos do Asfalto (rodovia Presidente Dutra) e da concessionária Centrovias (trechos das rodovias Washington Luis, Eng. Paulo Nilo Romano e Comandante João Ribeiro de Barros), no interior de São Paulo. Os resultados mostram que a abordagem é efetiva para apoiar decisões relacionadas ao planejamento e operação destes sistemas.

Made available in DSpace on 2016-06-02T19:50:25Z (GMT). No. of bitstreams: 1 6409.pdf: 5953158 bytes, checksum: 512230a587c3c0bebfcb0f30124c3e71 (MD5) Previous issue date: 2014-10-03 / The sugarcane industry is an important branch of the Brazilian agroindustry considering the major role of sugarcane cultivation in the country history and the prominent position that this industry has achieved in the international scenario. In recent years, this industry has faced major changes and challenges. Therefore, the use of methods to support decision making has become increasingly necessary to optimize the available resources and enable the analysis of larger data sets. The present study addresses the Maintenance and Tire Repair Emergency Services in the agricultural stage of the sugarcane industry. In order to analyze and support decisions in the Tire Repair System, the Hypercube Model, the Simulation Model, and the known Queue Models M/M/m and M/G/m were developed or adapted using data from a case study conducted in a sugar and alcohol mill with centralized servers. In addition, an alternative scenario with decentralized servers was also investigated, and it showed better results in terms of performance measures compared to those of the original scenario. Extensions of the Hypercube Model, the Approximated Hypercube Model and the Simulation Models were developed to analyze and support decisions in the Maintenance Service System. At first, an illustrative example was used to address the issues of priority queue, partial backup, and differentiated service rates between the hypercube states and the states of the tail. Subsequently, experiments using these models and the case study data were conducted. An alternative scenario including one more server was also studied, and it showed better results than those of the original scenario, especially in terms of travel times. The present study shows that the adaptations and extensions of the hypercube model and the simulation models developed to treat Maintenance and Tire Repair Emergency Systems in sugarcane mills have proven to be effective approaches for these systems planning and analysis. The results of this study indicate that the models developed and adapted are suitable for application in sugarcane industries. / A agroindústria canavieira constitui um importante ramo da agroindústria brasileira, tanto considerando a experiência histórica do Brasil no cultivo da cana-de-açúcar, quanto à posição de destaque que essa indústria ocupa atualmente no cenário mundial. Essa indústria enfrenta, nos últimos anos, grandes mudanças e desafios, tornando cada vez mais necessário utilizar métodos efetivos que apoiem a tomada de decisão dentro dessas empresas, otimizando os recursos disponíveis e possibilitando análise de um conjunto cada vez maior de dados. O presente trabalho aborda os Serviços de Emergência de Manutenção e Borracharia na etapa agrícola da indústria canavieira. Para analisar e apoiar decisões no Sistema da Borracharia, foram desenvolvidos ou adaptados o Modelo Hipercubo de Filas, um Modelo de Simulação e conhecidos Modelos de Filas M/M/m e M/G/m, utilizando os dados de um estudo de caso desenvolvido em uma usina de açúcar e álcool com servidores centralizados. Também foi analisado um cenário alternativo neste estudo com servidores descentralizados, que apresenta melhores resultados do ponto de vista de algumas medidas de desempenho em relação ao cenário original. Para analisar e apoiar decisões no Sistema de Manutenção, foram desenvolvidos extensões do Modelo Hipercubo de Filas, um Modelo Hipercubo Aproximado e Modelos de Simulação. Inicialmente utilizou-se um exemplo ilustrativo para tratar a prioridade na fila de espera e o backup parcial e taxas de atendimento diferenciadas entre os estados do hipercubo e os estados da cauda. Em seguida, foram realizados experimentos utilizando esses modelos e os dados coletados em um estudo de caso de um Sistema Emergencial de Manutenção em Campo. Foi também estudado um cenário alternativo que conta com mais um servidor em comparação com o cenário original e que apresenta resultados melhores que o cenário original, principalmente em relação aos tempos de viagem. Neste trabalho mostra-se que estas adaptações e extensões do modelo hipercubo de filas e os modelos de simulação desenvolvidos para tratar sistemas emergenciais de manutenção e borracharia em usinas são abordagens efetivas para análise e planejamento desses sistemas. Os resultados do estudo indicam que os modelos desenvolvidos e adaptados se mostram adequados para a aplicação no contexto da agroindústria canavieira.