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<p>  This thesis aims at how to enhance innovation management in the companies. Collecting the data by surveys which we have sent to five Swedish companies. Through studying the theories and analyzing the data, then we got a new model about how to enhance innovation management.    Through the survey and literatures studies, we found that innovation was the most important for an enterprise; it is a power of enterprise survival and development. To enhance the innovation capability, enterprises must strengthen their innovation management.    How to enhance the innovation management effectively? With this purpose question, we have analyzed it through management idea innovation, technology innovation and culture innovation<strong>.</strong> Through the survey analysis and the theories study, there are 9 factors should be considered when the innovation management has launched .the company should know how to balance the dilemma of innovation, moreover, leader own the open views and offer a loose and free environment to the employees, then choosing a right partner and gain more support in form of fund and technology and so on. At last, we created a new model about enhancing innovation management. In conclusion, innovation management should be taken be an active state in organization operation with the management idea innovation, technology innovation and culture innovation.</p>

This thesis aims at how to enhance innovation management in the companies. Collecting the data by surveys which we have sent to five Swedish companies. Through studying the theories and analyzing the data, then we got a new model about how to enhance innovation management.    Through the survey and literatures studies, we found that innovation was the most important for an enterprise; it is a power of enterprise survival and development. To enhance the innovation capability, enterprises must strengthen their innovation management.    How to enhance the innovation management effectively? With this purpose question, we have analyzed it through management idea innovation, technology innovation and culture innovation. Through the survey analysis and the theories study, there are 9 factors should be considered when the innovation management has launched .the company should know how to balance the dilemma of innovation, moreover, leader own the open views and offer a loose and free environment to the employees, then choosing a right partner and gain more support in form of fund and technology and so on. At last, we created a new model about enhancing innovation management. In conclusion, innovation management should be taken be an active state in organization operation with the management idea innovation, technology innovation and culture innovation.

Computer products ¡ACommunication products¡Aand Consumer Electronics products are the three main categories of 3C industry . With the trends of technology innovation, consumer¡¦s preference changes, and price¡¦s fluctuation, 3C products now tend to get slimmer, smaller, more easily portable, delicate, and fashionable. Moreover, advanced functions and environmental protection are also the important topics that 3C industry is facing. Accordingly, The housing parts of 3C products need to match up every inch with the above. This study focuses on the key success factors of technology innovation process of 3C housing case industry. In order to verify and refine the fist outcomes of AHP (Analytic Hierarchy Process) analysis, this study did the second AHP analysis and adopts the second outcomes as the conclusion. They are as follows: 1. These are the priorities of the four factors on the second layer: ¡§Technology Innovation Strategy¡¨ goes first, ¡§Organizational System and Culture¡¨ second, ¡§Source of Technology Innovation¡¨ third, and ¡§Investment of Technology Innovation¡¨ last. 2. The top 5 priorities of the sixteen criteria on the third layer are the below: ¡§Active Interaction with Customer¡¦s Needs¡¨ goes first, ¡§R&D Expenditures¡¦ Proportion of Sales¡¨ second, ¡§Patent Technology of Self ¡VResearch and Innovation¡¨ third, ¡§Organizational Culture of Good Communication and Flexible System¡¨ fourth, and ¡§Periodical Participation in International Technological Merchandise Fair¡¨ fifth.

This study is about the relations between ¡§technology innovation kinds¡¨ and ¡§knowledge management kinds¡¨, and takes ¡§the performance of new product development¡¨ for measuring it. The concept of technology innovation kinds is by Henderson and Clark(1990), which depends on the ¡§Component knowledge¡¨ and ¡§Architectural knowledge¡¨ enhanced or destroyed, gets 4 kinds: incremental¡BArchitectural¡BModular¡Band Radical. On the other hand, concept of knowledge management kinds is developed by this study, which depends on ¡§the environment for sharing knowledge¡¨ formal or informal; ¡§the source of knowledge¡¨ from inside the company or outside, gets 4 kinds: database¡Bspace for communicate¡Bnetwork¡Band real time communicate. Besides 4 cases for explaining the relations, this study uses statistic for studying manufacturing industry, and finds: 1. Every of the technology innovation kinds prefers its own knowledge management kinds. Like: ¡¨ incremental¡¨ prefers ¡§ database¡¨¡B¡¨ Architectural¡¨ prefers ¡§space for communicate¡¨¡B¡¨Modular¡¨ prefers ¡§network¡¨¡Band ¡§Radical¡¨ prefers ¡§real time communicate¡¨. 2. The technology innovation kinds correspond to its own knowledge management kinds, and the performance of new product development will be higher. 3. The high-tech industry¡¦s new product development performance is higher than the traditional industry¡¦s as their innovation kinds correspond to its own knowledge management kinds. 4. The smaller company¡¦s new product development performance is higher than the larger one as their technology innovation kinds correspond to its own knowledge management kinds.

The promise of telemedicine is great as observed in developed countries. However, its adoption in developing countries has been very slow. The Kenyan government approved telemedicine (use of ICT to overcome geographical barriers and increase access to health care services) as a strategic approach of improving healthcare delivery especially in the marginalised areas of the country. However, the adoption of telemedicine is further hindered in developing countries by the fact that the cost of implementing telemedicine technology is deemed high and the resources needed are scarce especially in the public sector. Extant literature on healthcare technological innovation indicates that organisation collaboration can expedite the adoption of telemedicine especially in developing countries. Since it is highlighted that empirical evidence on how organisation collaboration can facilitate telemedicine deployment in developing countries is still lacking, this research aims to develop a model to examine the potential of various organisation factors in facilitating telemedicine deployment in developing countries. This study employed a conceptual research framework to examine organisation factors that may influence organisation collaboration in facilitating telemedicine deployment in developing countries. A questionnaire survey was conducted in 50 private and public hospitals located in Eastern Kenya. 177 valid questionnaires were received and analysed using SPSS software (version 20). The findings of this research revealed that Kenyan hospitals collaborate with other organisations mainly to lessen budget restrained suffered during technological innovation process. Further, it was revealed that organisation affiliation might enhance their ability to adopt telemedicine. Organisation affiliation was observed to significantly influence organisation resources, organisation’s innovation acceptance, organisation’s innovative capacities, organisation agility and collaborative innovation aspects. In addition, all the organisational model factors were supported and explained 46.5% of the variance in collaborative innovation internal outcomes and 53.2% of the variance in collaborative innovation external outcomes. However, personnel innovation acceptance made no significant effect on collaborative innovation outcomes.

This study investigates the creation and evolution of the virtual campus of the University of Pretoria as a case of educational innovation. The theoretical fields of learning, instructional design, knowledge creation, knowledge management, organisational learning, change management, technology innovation and customer relationship management are drawn upon to contribute to inquiry into educational innovation. These theories were selected because the case consists of process, product and service innovation components that require an interdisciplinary perspective to achieve a holistic analysis. Process innovation explores new processes that have been embedded in the institution to support the virtual campus. Product innovation explores web-supported courses and service innovation explores new web-based services that have been created. The theoretical framework contains important strategies that go beyond the field of technology innovation. Following an extensive literature survey, the researcher sketches the higher education landscape - focusing predominantly on virtual education. This serves the purpose of contextualising the case within a broader setting of higher education and the impact of technology on various aspects of higher education. Theoretical constructs are applied to process, product and service innovation components of the virtual campus to explore how they manifested in the case. Qualitative and quantitative research methods are used to investigate process, product and service innovation components of the case. The research contributes to knowledge about educational innovation by means of a case study of the virtual campus. In addition, the findings of the practice of the case contribute to various theories and can be used to improve upon current practice. / Dissertation (PhD)--University of Pretoria, 2004. / Curriculum Studies / Unrestricted

Smart home technology was first conceptualized in 1989 and has extensively been promoted for many years ever since. However, even after 30 years since conceptualization, the technology has seen very low penetration levels and consistently missed all market forecasts. The objective of this thesis is to identify different reasons as to why smart home technology has not been adopted yet using innovation resistance theory. We use the innovation resistance framework by Ram and Sheth (1989) and exploratory research to identify all possible reasons for consumer resistance. We then conduct a quantitative study, by sending out online surveys to consumers, to identify which of these factors cause the highest resistance. Multivariate linear regression and other statistical methods were used to analyze the quantitative data. Physical risk, the real-world risks of adopting this technology (including privacy and cybersecurity risks), was the most important barrier to adoption. This was closely followed by economic risk, the risk associated with buying a device, installing it, and paying a monthly subscription fee for it to work. To increase adoption, smart home manufacturers should try to reduce these risks to kick start mass adoption. Because economic barrier includes multiple latent variables (representing different phases of the product), further research is needed to identify which of these different latent variables lead to higher economic resistance. We hope that this study can be used as a guide to help smart home manufacturing companies identify consumers’ most important pain points.

A inovação é um meio utilizado pelas empresas para se manterem no mercado, crescerem economicamente e gerarem vantagens competitivas. Seja a inovação referente a processo, produto, ou melhorias incrementais ou radicais, é importante estabelecer os fatores que devem ser levados em consideração no processo de adoção. Contudo, os gestores enfrentam dificuldades neste processo, dada a carência de ferramentas ou modelos que possam auxiliálos, oferecendo-lhes uma abordagem sistêmica dos fatores envolvidos. Desse modo, os objetivos desta pesquisa são identificar e analisar: 1) os fatores que devem ser levados em consideração na decisão de adotar-se a tecnologia RFID, Radio Frequency Identification, nas empresas e 2) as barreiras e facilitadores à implantação da tecnologia RFID na manufatura. Descoberta em 1935, pelo físico escocês Robert Alexander Watson-Watt, esta tecnologia foi utilizada inicialmente na Segunda Guerra Mundial para identificação de aviões inimigos. Entretanto, também pode ser empregada para rastreamento na cadeia de suprimentos, monitoramento de pessoas, verificação de autenticidade, identificação de pessoas em áreas de segurança e controle eletrônico, entre outros. O modelo apresenta quatro fatores (ambiente externo, ambiente interno, redes de inovação e tecnologia), todos passíveis de desdobramento em subfatores. Esta pesquisa limitou-se a apenas um grupo de subfatores, tendo partido da revisão bibliográfica sobre inovação tecnológica, adoção de inovação, tecnologia RFID, redes de inovação e manufatura. Na etapa seguinte, foram elaborados um questionário e um roteiro de entrevista para coleta de dados e informações. Para validá-los, foram realizados pré-testes e em seguida as modificações sugeridas pelo teste, chegando-se ao modelo conceitual final. Este foi aplicado com base na metodologia de estudos de casos múltiplos em um grupo de quatro empresas, duas das quais localizadas nos EUA e as demais no Brasil. O estudo demonstrou a utilidade dos modelos na decisão da adoção da tecnologia RFID e para a identificação das barreiras e facilitadores à sua implantação na manufatura. Por se tratar de uma tecnologia nova e dada a escassez de estudos já completados nesta área de gestão, sugere-se pesquisar elementos adicionais aos abordados nesta pesquisa. Estes incluem fatores relativos à especialidade ocupacional do indivíduo que irá operar a tecnologia, perfil, cultura e porte da empresa, influência do processo de comunicação e mensuração do retorno do investimento, bem como nível de centralização e modelo de gestão da empresa, além de outros fatores envolvidos nas redes de inovação, como governança, desenvolvimento de competências, tipo de relacionamento entre os integrantes e a sua influência no processo de internacionalização de empresas. A metodologia adotada não permite a generalização das conclusões. / Innovation is one of the means companies resort to, in order to safeguard their market position, grow financially and gain competitive advantages. Regardless of whether the innovation concerns process, product, and incremental or radical improvements, it is important to establish the factors that must be taken into account in the process of adopting it. Managers, however, have difficulty in this process, because of the lack of tools or models capable of helping them and of providing a systemic approach to the factors involved. Thus, the objectives of this research study are to identify and analyze (1) the factors that must be taken into account when deciding whether to adopt the Radio Frequency Identification (RFID) technology within a firm and (2) the barriers and facilitating elements for the implementation of RFID in manufacturing. Discovered in 1935 by the Scottish physicists Robert Alexander Watson-Watt, this technology was first used during World War II, to identify enemy aircraft. However, it can also be used to track the elements of a supply chain, monitor individuals, verify authenticity, identify people in security areas, or conduct electronic control, among other possibilities. Our model presents four factors (external environment, internal environment, innovation networks and technology), all of which can be broken down into sub-factors. This study focused on one sub-factors group. The research starting point was a bibliographical review of technological innovation, innovation adoption, RFID technology, innovation networks and manufacturing. The next stage consisted of developing a questionnaire and interview guidelines for data and information collection. These tools were then pretested for validation, which led to their adjustment and to the final conceptual model. This was then applied, based on the multiple case studies methodology, to a group of four enterprises, two of which were in the USA and the other in Brazil. The study showed the usefulness of the models for the decision of adopting RFID technology and for the identification of the barriers and facilitators connected with the implementation of RFID in manufacturing. Because it is a new technology, and given the scarcity of completed studies in this management area, we suggest researching other elements besides those addressed in our research, including those that concern the occupational specialization of the individual that will operate the technology, the profile, culture and size of the firm, the influence of the communication process and the return on investment metrics, as well as the enterprises level of centralization and management model, in addition to other factors involved in innovation networks, such as governance, development of competencies, type of relations among the network members and influence on the enterprises internationalization process. The methodology used, however, does not allow one to generalize the studys conclusions.