71 resultados para MLearning, Technology Adoption


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Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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Comunicação apresentada na CAPSI 2011 - 11ª Conferência da Associação Portuguesa de Sistemas de Informação – A Gestão de Informação na era da Cloud Computing, Lisboa, ISEG/IUL-ISCTE/, 19 a 21 de Outubro de 2011.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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This paper addresses the impact of payment systems on the rate of technology adoption. We present a model where technological shift is driven by demand uncertainty, increased patients’ benefit, financial variables, and the reimbursement system to providers. Two payment systems are studied: cost reimbursement and (two variants of) DRG. According to the system considered, adoption occurs either when patients’ benefits are large enough or when the differential reimbursement across technologies offsets the cost of adoption. Cost reimbursement leads to higher adoption of the new technology if the rate of reimbursement is high relative to the margin of new vs. old technology reimbursement under DRG. Having larger patient benefits favors more adoption under the cost reimbursement payment system, provided that adoption occurs initially under both payment systems.

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The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

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We investigate the determinants of giving in a lab-in-the-field experiment with large stakes. Study participants in urban Mozambique play dictator games where their counterpart is the closest person to them outside their household. Dictators share more with counterparts when they have the option of giving in kind (in the form of goods), compared to giving that must be in cash. Qualitative post-experiment responses suggest that this effect is driven by a desire to control how recipients use gifted resources. Standard economic determinants such as the rate of return to giving and the size of the endowment also affect giving, but the effects of even large changes in these determinants are significantly smaller than the effect of the in-kind option. Our results support theories of giving where the utility of givers depends on the composition (not just the level) of gift-recipient expenditures, and givers thus seek control over transferred resources.

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The Portuguese consumer foodservice industry is experiencing a boost in technology adoption, driven by significant changes in consumer behavior and business dynamics, due to mobile increasing penetration. Accordingly, the present work project consists on developing a business plan for meeting an identified opportunity in the technological foodservice landscape. Therefore, this report is divided into three sections, each of which addressing different objectives: (A) External Environment, providing key external insights that support the opportunity; (B) Strategy Formulation, establishing a strategic direction; and (C) Action Plan, determining an implementation plan for starting the business

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Dissertação apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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Proceedings IGLC-18, July 2010, Technion, Haifa, Israel

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Tese apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

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This paper examines the incentive to adopt a new technology given by some popular reimbursement systems, namely cost reimbursement and DRG reimbursement. Adoption is based on a cost-benefit criterion. We find that retrospective payment systems require a large enough patient benefit to yield adoption, while under DRG, adoption may arise in the absence of patients benefits when the differential reimbursement for the old vs. new technology is large enough. Also, cost reimbursement leads to higher adoption under some conditions on the differential reimbursement levels and patient benefits. In policy terms, cost reimbursement system may be more effective than a DRG payment system. This gives a new dimension to the discussion of prospective vs. retrospective payment systems of the last decades centered on the debate of quality vs. cost containment.