This dissertation aims to provide a better understanding of the technology licensing practices of academic research institutions. The study identifies time durations in licensing and incorporates these into a model to evaluate licensing performance. Performance is measured by the efficiency of an institution's technology licensing process and efficiency changes over time, using Association of University Technology Managers annual survey data from 1991 to 2007. Organizational characteristics influencing the licensing performances of 46 U.S. research institutions also are explored. The study resulted in a new approach that integrates the identification of time lags in licensing, analysis of efficiency change, and exploration of the influence of organizational characteristics on efficiency change. A super-efficiency variable returns to scale data envelopment analysis (DEA) model was applied to the time-lag neutralized licensing data, to measure the efficiency of U.S. research institutions' licensing performance over time. The study also includes an innovative approach to resolving issues with the super-efficiency DEA model, including mathematical infeasibility and zero-data issues. The licensing mechanisms included in the study are disclosure, patent applications, patents issued, licenses and options executed, start-ups, and licensing income. The time duration from expenditure to licensing income, including all intermediating licensing processes, ranged from 2 to 27 years. The study identified the organizational characteristics related to licensing practice. Academic prestige and research quality are positively related to disclosure, patents granted, and start-up. The resources of a technology licensing office influences the number of licensing agreements, whereas licensing office experience has a positive relationship with start-ups. Increased licensing resources improve the efficiency of licensing practices, and a research institution with more dedicated licensing staff has improved licensing productivity. Private institutions improved their licensing practice more than public ones during the study period. On the other hand, institutions with a medical school demonstrated low efficiency. This dissertation fills a gap in the understanding of licensing practice and the organizational characteristics related to licensing performance. In addition, the study contributes to research methodology by providing a new approach to identifying time lags and improving the DEA method. The results, grounded in comprehensive observations over multiple time durations, provide an insight into the licensing practices of U.S. research institutions. The dissertation presents recommendations for research institutions based on the relationships identified among academic prestige, research intensity, organizational characteristics of the technology licensing office, and licensing performance.

Orientador: Tadeu de Siqueira Barros / Resumo: Esta tese busca entender a estruturação de comunidades de riachos em paisagens modificadas enquanto contabiliza possíveis assincronias entre ambas. Logo, ela questiona os pressupostos de que (i) é necessário incluir características das paisagens passadas para alcançar uma abordagem mais completa dos fatores estruturadores das comunidades atuais e (ii) alternativamente, de que lapsos temporais nas respostas das comunidades devem ser considerados para compreender a total magnitude dos efeitos de uma dada mudança da paisagem. Além disso, são explorados condicionantes relacionados à caracterização do histórico da paisagem, ao tipo de descritor da comunidade e à complexidade do sistema ecológico. Em seu primeiro manuscrito, esta tese confirma tais pressupostos enquanto apresenta o primeiro registro de respostas tardias de insetos aquáticos em região tropical. Nele, eu demonstro que padrões nas comunidades poderiam ser mais bem compreendidos quando o histórico é descrito com mais de uma característica (e.g., média histórica e trajetórias de perda e ganho de cobertura florestal) e que a detecção de respostas tardias varia de acordo com os descritores de comunidades estudados. Em seu segundo manuscrito, um modelo teórico foi testado admitindo múltiplas relações simultâneas e, predominantemente, indiretas para o sistema de estudo. Neste, além daqueles pressupostos, foram confirmados caminhos causais pelos quais a cobertura florestal e usos dos solos estruturam as comunidades. Com os c... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: This thesis aims to understand the assembly of stream communities in modified landscapes by accounting for possible asynchronies between the two. In this way, it questions the assumptions that (i) it is necessary to include past landscape characteristics to reach a more complete approach of the structuring factors of current communities, and that (ii), alternatively, one should consider time lags in community responses to encompass the magnitude of the effects of a certain landscape change. In addition, drivers related to the characteristics of landscape history, the type of community descriptor and the complexity of the ecological system are questioned. In its first manuscript, this thesis confirms those assumptions and shows the first record of delayed responses of aquatic insects in the tropical region. In that, I show that patterns in communities could be better understood when landscape history is described with more than one characteristic (e.g., historical mean and loss and gain trajectories of forest cover) and that the detection of delayed responses varies according to the community descriptors. In its second manuscript, a theoretical model was tested admitting multiple simultaneous, and predominantly, indirect relationships in the study system. Then, in addition to the previous assumptions, causal pathways by which forest cover and land uses structure communities were confirmed. With the paths, empirical evidence that aquatic insect community assembling is affected ... (Complete abstract click electronic access below) / Doutor

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Breakthrough innovations are vital for the global economy and even our survival as a species. They appear as creative leaps and insights without obvious connection to existing knowledge and are extremely valuable to organisations, giving them significant competitive advantage. Historiometric and psychopathological evidence shows that breakthrough innovations are often associated with individuals and affective dysfunction; yet innovation today is widely held to be an organisational phenomenon operationalised though a model of creativity based on positive affective experiences and group activities which may be particularly unsuited to innovative thinkers. Research upon which the current paradigm for creativity and innovation are based is detached from real world outcomes and has been challenged as to its validity. Little data exists outside of experiments or indirect observation of naturally occurring affective experiences and the mood-creativity-innovation link has yet to be proven; we still know very little about how breakthrough innovations occur. This unique study addresses this significant gap in innovation research with a two-year longitudinal case study of a breakthrough innovation being developed for a multi-national Fast-Moving Consumer Goods company. It followed the journey of a lone innovator and attempts to answer the research question: “Can a fear of failure lead to breakthrough innovation?” The innovation space was investigated from three perspectives: technology, organisation and innovator, to build a picture of the highly immersive and emotionally charged experience of innovating. Many new insights were gained, and with extensive support from literature, new tools for the management of technology and the interface between innovators and organisations were developed, along with ground-breaking research into the mood-creativity innovation link. These are delivered through a series of four journal papers. The key finding from this research has been the discovery of the innovation-wave, a phenomenon which for the first time provides evidence for the mood-creativity-innovation link; intimately connecting real-world creative efficacy with emotion and specifically a ‘fear of failure’. From this finding a new theory and psycho-cognitive model for a distinct form of creativity called innovative thinking, driven by negative affect (mood) and specifically suited to achieving a breakthrough innovation through overcoming apparently insoluble problems, was posited and a hypothesis proposed and tested using a sophisticated innovation simulation developed especially for this purpose. Evidence from the case study and later experiment provide support for the research question and the lone innovator. This study makes a unique contribution to our understanding of creativity and innovation which could have a significant impact on how both are researched, taught and managed in the future. Being able to understand and possibly manipulate the innovation-wave, if proven correct, could be vitally important for maximising the potential for creating breakthrough innovations to the benefit of us all.

Bank voles, grey-sided voles, and field voles had synchronous 3-4 year density cycles with variable amplitudes which averaged about 200-fold in each species. Cycles of vole predators (red fox and Tengmalm's owl), and their (foxes') alternative prey (mountain hare and forest grouse) lagged behind the vole cycles. The nomadic Tengmalm's owl responded with a very rapid and strong numerical increase to the initial cyclic summer increase of voles (the owl’s staple food). Owl breeding densities in the springs were highly correlated with vole supply in the previous autumns. This suggested that the number of breeding owls was largely determined in the autumn at the time of the owl's nomadic migrations, and that immigration was crucial for the rapid rise in owl numbers. The owl's numerical response was reinforced by the laying of earlier and larger clutches when food was plentiful. In addition, the owl has an early maturation at one year of age. The transition between subsequent vole cycles was characterized by a distinct shift in rate of change in numbers from low to high or markedly higher values in both summer and winter. Regulation increased progressively throughout the cycle since the rate of change decreased continuously in the summers. Moreover, there was a similar decrease of the rate of change in winter. Rate of change was delayed density-dependent. The delayed density-dependence had an 8 month time-lag in the summers and a 4 month time-lag in the winters relative to the density in previous autumns and springs, respectively. These findings suggest that vole cycles are likely to be generated by a time-lag mechanism. On theoretical grounds, it has been found that a delayed density- dependence of population growth rate with a 9 month time-lag caused stable limit cycles with a period between 3 and 4 years. Some mechanisms for the delayed density-dependence are suggested and discussed. The mechanisms are assumed to be related to remaining effects of vole populations past interactions with predators, food supplies, and/or diseases. Unlike the other voles, the bank vole had regular and distinct seasonal declines in density over winter. These declines are proposed to be due to predation, mainly by Tengmalm's owl. Supranivean foraging for epiphytic tree lichens and conifer seeds most likely explains why this species was frequently taken by the owl under snow-rich conditions. The alternative prey hypothesis predicts that a reduction of predator numbers should increase the number of alternative prey. Alternative prey should be less effectively synchronized to the vole cycle by predation at declining and low vole (main prey) densities; they may also lose their 3-4 year cyclicity. The appearance of sarcoptic mange among foxes in northern Sweden in the mid 1970s provided an opportunity to "test" these ideas, and these were found to be supported. In areas with highest mange infection rates, foxes declined markedly from the late 1970s to mid 1980s, whereas hare numbers rose rapidly and appeared non-cyclic. / <p>Diss. (sammanfattning) Umeå : Umeå universitet, 1991, härtill 7 uppsatser</p> / digitalisering@umu

John B. Taylor, professor i nationalekonomi vid Stanford University, presenterade år 1993 en penningpolitisk regel som syftade till att vara ett hjälpmedel för centralbanker vid räntebeslut. Taylor-regeln är mycket enkel i sitt uförande och baseras på att styrräntan bör sättas efter två variabler: BNP-gapet och inflationsavvikelsen. Denna styrränteregel fick genomslag inom den vetenskapliga världen men spreds även till makroekonomisk praktik och medförde stora förändringar för penningpolitiken. Flera empriska studier har publicerats sedan Taylor-regeln tillkom och det råder det delade meningar om hur väl Taylor-regeln presterar för olika typer av ekonomier och hur användbar den är idag. Det har även uppkomit nya teorier angående trögheten i effekterna av styrränteförändringar och vid vilken tidpunkt dessa får en inverkan på inflationstakten. Syftet med denna uppsats är att jämföra hur väl den ursprungliga Taylor-modellen och en tidslaggad modell förklarar centralbankernas historiska styrräntesättning i fem länder med inflationsmål under tidsperioden 2000-2013. Analysen av resultaten görs med utgångspunkt i ländernas olika ekonomiska egenskaper samt tidsperioden som studien omfattar. Studien begränsas till jämförelser av de två Taylor-modellernas tillämpbarhet vid styrräntesättningar för länderna Brasilien, Kanada, Polen, Sverige och Sydafrika. De två modellerna modifieras också med en styrränteutjämningsfunktion.   Våra resultat tyder på att den ursprungliga Taylor-regeln presterar bättre i förhållande till den tidslaggade modellen när det gäller att förklara den faktiska styrräntesättningen idag för alla länder i studien utom Polen. Den tidslaggade presterar dock bättre än den ursprungliga för de utvecklade ekonomierna Sverige och Kanada under 1990-talet. Båda modellerna gör kraftiga över- och underskattningar som till stor del avhjälps med den utjämningsfunktion som vi tillämpar. Koefficienterna hålls konstanta över hela tidsperioden, vilket inte är rimligt då en viss dynamik bör inkluderas så att regeln justeras efter varje period då för mycket vikt läggs vid BNP-variabeln som såldes är en bidragande faktor till regelns över- och underskattningar. Regeln presterar bättre för ekonomier med stabila förhållanden mellan tillväxttakt och inflationstakt än för länder som lider av mer volatila förhållanden mellan dessa två variabler, likt tillväxtländerna i vår studie. Dessutom ger Taylor-regeln skattningar som ligger närmre den faktiska styrräntesättningen under de tidigare delarna av perioden för att sedan till större del börja avvika från den faktiskt satta styrräntan.   Slutsatserna som kan dras utifrån våra resultat är att den ursprungliga Taylor-regeln presterar bäst i att beskriva ett lands styrräntesättning sett till kvantitativa mått medan en tidslaggad modell tar större hänsyn faktiska förhållanden. Över lag presterar modellerna bättre för de utvecklade ekonomierna än för tillväxtekonomierna och huruvida storleken på ekonomin har någon inverkan är svårt att avgöra. Resultaten tyder också på att Taylor-regeln med tidslagg ligger närmre den faktiska styrräntesättningen för de utvecklade ekonomierna under 1990-talet än under perioden 2000-2013 medan den ursprungliga presterar bättre idag. / John. B Taylor, professor of Economics at Stanford University, presented a monetary policy rule in 1993 which intended to help central banks with their interst rate decisions. In its design the Taylor-rule was very simple and based on only two variables: the GDP-gap and the deviation of actual inflation from the inflation target. The Taylor rule had a great impact on the academic research and also contributed to changes within monetary policy around the world. Many empirical studies have been published on the Taylor rule and there are divided contentions about its applicability in different kind of economies and its relevance today. New theories have also been published regardning the time aspect of the impact on inflation due to a change in the interest rate. The intentions of this study is to make a comparsion between the original Taylor rule and a Taylor rule including a time lag regarding how well they describe the actual interest rates set by the central banks in five countries during the period 2000-2013. The results will be analyzed under consideration of the different economies attributes. The study compares the two kinds of Taylor rules and the applicability in describing the historical interest rate in Brazil, Canada, Poland, Sweden and South Africa. The two rules have also been modified with an interest rate smoothing-function.   Our results conclude that the original Taylor rule describes the historical interest rate better than the rule including a time lag for the time period 2000-2013 for all countries apart from Poland. For the developed economies Canada and Sweden the time lagged model show less deviations for the 1990’s. However both rules tend to over and underestimate the valutation of the interest rate. The smoothing function does to some extent correct this problem. The coefficients of the variables are held constant during the study which in reality should not be the case. They should instead be adjusted between every period to make allowances for the different relationship of the two variables. Mostly too much weight is put on the GDP-variable which should be a contributing cause of the overestimations. The rules do however have the tendency to describe the historical interst rate of the developed economies superior to the developing economies. The performance is greater at the beginning of the period with less deviation from the actual outcome than later on. The conclusion of our study is that the original Taylor rule generally performs superior to the one including time lag with conciderations to the deviations from the actual interest rates. However, the Taylor rule including the time-lag does allow for actual circumstances which the original Taylor rule does not take into consideration. Mainly the rules do perform better for developed economies compared to developing economies. Regarding the impact of the size of the economy on the applicability of the rules it was difficult to conclude anything specific. The Taylor rule with the time-lag is more applicable for the developed economies during the earlier time period, the 1990’s, than the later time period, the 2000’s where the original Taylor rule shows less deviations.

The present thesis addresses the issue of the impact of two independent variables - speech rate and interpreters' experience - on the length of time lag in simultaneous interpreting from English to Czech. Time lag, or ear-voice-span (EVS), in simultaneous interpreting is the time difference between the input in source language and the output in target language. The study comprises of two parts. The first, theoretical part summarises the current state of research on the subject. The second, empirical part compares the average EVS in excerpts of sixty simultaneous interpreting renditions uttered by forty-nine subjects divided into two speech rate categories and three experiential categories. The aim is to find out, firstly, whether there are any differences in EVS length based on speech rate, and, secondly, how the interpreters' level of experience influences their EVS length. The first main finding is that a higher speech rate leads, on average, to a shorter EVS than an optimal speech rate; this does not, however, apply in the case of professional interpreters - their EVS length is not affected by speech rate. The second main finding is that the interpreters' level of experience influences EVS length significantly: the more experienced the subjects, the shorter their EVS on average. While evaluating...