69 research outputs found

    The effects of National culture and Geographic proximity on the innovation performance of Industry-University collaborations

    No full text
    Background: Innovation has been recognized by most firms as critical for the development of novel or improved products, processes, and services to remain competitive. In light of the importance of Industry-University collaborations (IUCs) towards enhancing the competitive advantage of firms via innovation, it is vital to ensure successful outcomes of IUCs. Objectives: The objectives of this paper are: (i) to determine whether national cultural values impact the innovation performance of IUCs, (ii) to determine the effects of the differences in national cultural values between the industry and university partners on the innovation performance of IUCs, and (iii) to determine the effects of geographical proximity on the innovation performance of IUCs

    Modelling The Socio-Demographic and Spatial Determinants of Undernutrition in Zambia: A Comparison of Full Bayesian with Penalised Structured Additive Regression

    No full text
    Full Bayes Markov Chain Multi Carlo (MCMC) and Penalised Structured Additive Regression (STAR) models were compared for an underenutrition (measured as stunting) study in Zambia. Spatial correlated effects were specified as a Markov random field prior, continuous covariates were modelled using Bayesian penalised splines and diffused priors were assigned to fixed effects. A Bayesian Structured Additive Regression Model was developed for the Zambia data. Model estimation and inference was based on both fully Bayesian MCMC and Empirical Bayes (based on mixed method methodology). In a frequentist setting, EB inference is closely related to penalized likelihood estimation. (Approximate) restricted maximum likelihood are used to estimate Variance components which correspond to inverse smoothing parameters. Both inference procedures were then compared based on the results from the Zambia study and were found to be very similar. The results indicate spatial variations in stunting among the districts of Zambia. Continuous covariates Age and BMI have a significant effect on stunting. There is also significant difference among the factors of all categorical variables except for mother's employment status where no difference was found in stunting between children of employed and unemployed mothers. Keywords: MCMC, STAR, Full Bayes, Empirical Bayes, spatial, continuous, categorical, model estimation, inference

    The effects of National culture and Geographic proximity on the innovation performance of Industry-University collaborations

    No full text
    Background: Innovation has been recognized by most firms as critical for the development of novel or improved products, processes, and services to remain competitive. In light of the importance of Industry-University collaborations (IUCs) towards enhancing the competitive advantage of firms via innovation, it is vital to ensure successful outcomes of IUCs. Objectives: The objectives of this paper are: (i) to determine whether national cultural values impact the innovation performance of IUCs, (ii) to determine the effects of the differences in national cultural values between the industry and university partners on the innovation performance of IUCs, and (iii) to determine the effects of geographical proximity on the innovation performance of IUCs

    Modelling The Socio-Demographic and Spatial Determinants of Undernutrition in Zambia: A Comparison of Full Bayesian with Penalised Structured Additive Regression

    No full text
    Full Bayes Markov Chain Multi Carlo (MCMC) and Penalised Structured Additive Regression (STAR) models were compared for an underenutrition (measured as stunting) study in Zambia. Spatial correlated effects were specified as a Markov random field prior, continuous covariates were modelled using Bayesian penalised splines and diffused priors were assigned to fixed effects. A Bayesian Structured Additive Regression Model was developed for the Zambia data. Model estimation and inference was based on both fully Bayesian MCMC and Empirical Bayes (based on mixed method methodology). In a frequentist setting, EB inference is closely related to penalized likelihood estimation. (Approximate) restricted maximum likelihood are used to estimate Variance components which correspond to inverse smoothing parameters. Both inference procedures were then compared based on the results from the Zambia study and were found to be very similar. The results indicate spatial variations in stunting among the districts of Zambia. Continuous covariates Age and BMI have a significant effect on stunting. There is also significant difference among the factors of all categorical variables except for mother's employment status where no difference was found in stunting between children of employed and unemployed mothers. Keywords: MCMC, STAR, Full Bayes, Empirical Bayes, spatial, continuous, categorical, model estimation, inference

    The Virtual Team : A qualitative interview study on how virtual team members experience the virtual team setting and which aspects that influence it

    No full text
    Most organizations have adopted some form of virtual team setting. While considerable research has been conducted on virtual teams, there is still much to be learned. This study aims to answer the following question: How do virtual team members experience the virtual team setting, and which aspects influence it? The research gap addressed in this thesis encompasses all the aspects mentioned that influence virtual teams, while current virtual team research mostly focuses on one or two aspects. This qualitative interview study comprises ten semi-structured interviews with virtual team members, aiming to explore their experiences related to this phenomenon. The study focuses on virtual teams in general, with workers who engage in virtual work to some extent. The data is cross-indexed and analyzed thematically, resulting in four themes: ‘The Virtual Team Structure’, ‘The Communication & Platforms’, ‘The Leadership & Work Culture’, and ‘The Virtual Team Pros & Cons’. The findings align with related research on virtual teams but also reveal some new insights, showing that all the mentioned aspects impact the virtual team setting to some extent. This is a significant research contribution, as it highlights aspects that firms adopting virtual work must consider.

    The Virtual Team : A qualitative interview study on how virtual team members experience the virtual team setting and which aspects that influence it

    No full text
    Most organizations have adopted some form of virtual team setting. While considerable research has been conducted on virtual teams, there is still much to be learned. This study aims to answer the following question: How do virtual team members experience the virtual team setting, and which aspects influence it? The research gap addressed in this thesis encompasses all the aspects mentioned that influence virtual teams, while current virtual team research mostly focuses on one or two aspects. This qualitative interview study comprises ten semi-structured interviews with virtual team members, aiming to explore their experiences related to this phenomenon. The study focuses on virtual teams in general, with workers who engage in virtual work to some extent. The data is cross-indexed and analyzed thematically, resulting in four themes: ‘The Virtual Team Structure’, ‘The Communication & Platforms’, ‘The Leadership & Work Culture’, and ‘The Virtual Team Pros & Cons’. The findings align with related research on virtual teams but also reveal some new insights, showing that all the mentioned aspects impact the virtual team setting to some extent. This is a significant research contribution, as it highlights aspects that firms adopting virtual work must consider.

    Attaining the 2050 Climate Vision and Energy Security in The Gambia

    No full text
    Presentation The Gambia EMPA 202

    Attaining the 2050 Climate Vision and Energy Security in The Gambia

    No full text
    Presentation The Gambia EMPA 202

    The Gambia Energy Models

    No full text
    The Gambia Energy models. EMPA 202

    Attaining the 2050 Climate Vision and Energy Security in The Gambia

    No full text
    Presentation The Gambia EMPA 202
    corecore