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  • 1.
    Karnouskos, Stamatis
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Massive open online courses (MOOCs) as an enabler for competent employees and innovation in industry2017In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 91, p. 1-10Article in journal (Refereed)
    Abstract [en]

    The industrial domain is increasingly depending on the rapid technological advances, and to utilize it, new competencies will need to be acquired by the employees in order to strive towards innovation and business success. In this new context, under also the prism of globalization, the rules of competition are redefined, and competent labor is the deciding factor. Especially in fast-paced knowledge-based economies, there is greater dependence on knowledge, information and high employee competency levels, which also play a key role in innovation. It is therefore in the interest of both corporations and individual employees to not only retain existing knowledge, but continuously enhance it, by expanding it and utilizing it more efficiently. Competent people are the key to future success and offer organizations their only sustainable competitive advantage. Among the plethora of available tools to enhance employee competencies, massive open online courses (MOOCs) are an emerging phenomenon. They have taken the world by storm and recently they also started penetrating the corporate environments. This work focuses exactly on this white-spot area i.e., the relationship of MOOC-empowered employee competencies and innovation. A model is proposed, empirical data is collected via a survey, and is statistically analyzed. Initial results indicate a positive contribution of MOOC related factors such as culture, knowledge, communication, technology, and cost to innovation in modern enterprises. (C) 2017 Elsevier B.V. All rights reserved.

  • 2.
    Woxenius, Johan
    et al.
    Blekinge Institute of Technology, School of Computing.
    Persson, Jan A.
    Blekinge Institute of Technology, School of Computing.
    Davidsson, Paul
    Blekinge Institute of Technology, School of Computing.
    Utilising more of the loading space in intermodal line trains-Measures and decision support2013In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 64, no 2, p. 146-154Article in journal (Refereed)
    Abstract [en]

    The focus of this article is to identify, characterise and qualitatively evaluate the existing measures for increasing the utilisation of loading space in intermodal road-rail freight line trains. Normally, these trains operate like intercity passenger trains, because they make short unit load transhipment stops along rail corridors in order to travel comparatively small and short flows. The measures for loading space utilisation include adapting the train's capacity, changing the departure times, altering the train routes and sending trucks to different terminals as well as replacing rail transport with trucks. Some of the measures require improved information sharing, and executives can strengthen the effect of the measures by adding decision support systems and price incentives to transport buyers.

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