This paper explores how, in the light of global economic downturn and rising student populations, new academic-industrial models for research collaboration based upon specific technological expertise and knowledge can be developed as potential mechanisms for preserving and extending central university research infrastructure. The paper explores two case studies that focus upon the new serious games sector: the UK-based Coventry University's Serious Games Institute - a hybrid model of applied research and business, and the Netherlands-based TU-Delft University's Serious Game Center - a networked model of semi-commercial funding and public-private co-operation between industry, public sector and research partners. To facilitate these kinds of academic-industrial collaborations, the paper introduces the Innovation Diffusion Model (IDM) which promotes innovation diffusion by bringing academic and industrial experts into close proximity. Overall, the benefits include: sustained intellectual property development and publication opportunities for academics, employment creation, accelerated development and real commercial benefits for industrial partners.
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from the Article: "The diffusion of digital innovations among SMEs in developing countries like Ghana is slow due to several factors. Well-known adoption models appear to have often been from developed country contexts and have proposed antecedents of behavioral intention instead of actual adoption. Consequently, many variables from existing models have been present in developing country contexts such as Ghana and yet most digital innovations have not been adopted. A systematic literature review is employed to explore the contexts within which earlier models of technology adoption were developed, and to build a revised model of factors that lead to actual adoption in a developing country context. The results indicate that acknowledged models were developed from contexts that are different from that of Ghana. The study improves the existing knowledge gap of antecedents of adoption in a developing country context. The model provides the reference factors that SMEs and governments must ensure that they enhance adoption of innovations." https://aisel.aisnet.org/mcis2017/23
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In this study, we experimentally investigated the material flows of coloured dyes in coalescing small inkjet printed droplets of different volume ratios. With two differently coloured dyes, one in each droplet, we were able to distinguish the time-resolved contributions in dye transport across the coalescence bridge due to convection and diffusion. Droplets with differently coloured dyes were inkjet printed onto a glass substrate at a sufficiently large pitch such that they do not touch each other. Under UV exposure, the wetting of the substrate improves, causing the droplets to coalesce. Filmed at 50 fps, the coalescence and mixing of the droplets of volume ratios 1:1, 2:1 and 4:1 was followed. For equally sized drops, the mixing of the dyes shows good agreement with a 1D approximation of Fick’s second law along the central axes of the coalescing droplets with a diffusion coefficient D = 2 9 10-9 m2 s-1. For unequally sized droplets, convective flows from the small to the large droplet were demonstrated. The convective flows increase in size with increasing volume ratio, but only enter the droplet over a small distance. Complete mixing of the dyes in the unequally sized droplets is only reached after a long period and is diffusion controlled. At the initial moment of coalescence of unequally sized droplets, a small convective flow is observed from the large into the small droplets. Further investigation in this phenomenon is recommended.
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This historical review uncovers the institutionalisation and diffusion of the SWOTanalysis by assessing academic literature, seminar materials, proprietary research reports and interviews with experts from the virus theory perspective. We suggest that reviews of the SWOT analysis using the management fashion theory perspective are inadequate in explaining the diffusion and rejection of ideas born in practice. The virus theory perspective starts at an organizational level and reveals that predominantly practitioners were instrumental in spreading the ideas like participatory planning and distinguishing between short term and long range planning in order to resolve the planning paradox in provisional planning. Due to mutations in practice by consulting firms, the 2x2 matrix of SWOT became a cognitive artefact on its own. Theoretical roots of the original SWOT analysis stem from psychology and behavioural sciences.It is questionable if current strategy textbooks reflect these theoretical backgrounds.
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This paper explores the creation and use of a long-term global tourism transport model for private and public sector tourism policy makers. Given that technology is unlikely to reduce tourism transport's impact on climate change sufficiently to avoid serious dangers, behavioural change is necessary. The model presented here helps policy makers and the tourism sector evaluate behavioural change measures. Such tools to assess long-term (up to a century) policy impacts do not currently exist. Projecting behavioural change over such long periods is difficult with contemporary economic modelling. This paper's model is founded in psychological economics theory and mechanisms at work in product diffusion. It describes the tourism system based on identifiable mechanisms and not on statistical relations with only current validity. It delivers global numbers of trips and distances travelled per transport mode as a function of transport cost, travel time, population and income distribution. The model is based on theories including product innovation theory (Bass model) and prospect theory (psychological value). It has been successfully calibrated to tourism development between 1900 and 2005 and tested against future low and high growth economic and demographic scenario combinations. Implications for tourism travel and climate change are discussed.
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Abstract. The Clean-Tech Adoption Model (C-TAM) explains the adoption process of clean technology. Based on the Unified Theory of Acceptance and Usage of Technology (UTAUT) combined with qualitative research and empirical data gathering, the model predicts adoption based on the perceived quality, effort, transition, experience and knowledge. Social media introduces a moderating effect, thus legitimizing its effectiveness as a marketing instrument on accelerating the adoption of clean technology. C-TAM is validated; however additional empirical research is necessary. Additionally, the explained variance discrepancy with UTAUT as well as theorizing on the Diffusion of Innovations theory stimulates further research on extra moderators.
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In health care, the use of nursing technological innovations, particularly technological products, is rapidly increasing; however, these innovations do not always align with nursing practice. An explanation for this issue could be that nursing technological innovations are developed and implemented with a top-down approach, which could subsequently limit the positive impact on practice. Cocreation with stakeholders such as nurses can help address this issue. Nowadays, health care centers increasingly encourage stakeholder participation, which is known as a bottom-up cocreation approach. However, little is known about the experience of nurses and their managers with this approach and the innovations it results in within the field of nursing care.
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