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"Ennemmin överit kuin vajarit" – A Case Study of Pohjois-Karjalan Osuuskauppa's Internal Communications Using Discourse Analysis
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Assessment of pollen viability using a staining method and the effect of traffic volumes and climate change on viability
No full textAn exceptional country and city? Football-ice hockey rivalry in modernizing Finland and Helsinki
No full textFinland is an exception in the European sports landscape in the rivalry between ice hockey and football. We examine the struggle between football and ice hockey after WWII. As a case study, we explore Helsinki, Finland’s most successful sports city. The popularity of football and ice hockey was on par until the 1960s. Later, ice hockey developed infrastructure, culture, coaching, and social relations, and became a professional and new national sport with international success. Football’s rise and international success did not take place until the 2000s. Helsinki has played a dominant role in Finnish sports. In football, Helsinki has been a pioneer for most of the period, but in ice hockey, Helsinki was first overshadowed by Tampere. However, the capital city played a crucial role in the marketization of ice hockey. On the other hand, Helsinki was also the first to experience the limits of ice hockey’s growth
Navigating global markets with agility: the role of improvisation & dynamic capabilities in born global SME internationalization
No full textSupporting post-divorce parenting in high conflict separation. Integrative literature review
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Intergenerational of financial literacy – How does parents´ ́financial literacy affect the child´s well-being?
No full textPerceived Stress and Food Consumption among the University of Eastern Finland Students Before and During COVID-19
No full textAn Interval Multi-Objective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments
No full textDesign change is an important issue in complex product development projects. In a complex product with numerous parts (also known as components), the change of one key part may spread to other parts associated with it, generating a chain reaction throughout the entire project. Therefore, it is necessary to select a suitable change plan involving only fewer crucial parts in order to enhance the product’s performance, minimize change cost, and reduce change duration/time. Focusing on the case where the correlation strength between parts cannot be accurately obtained, in this article we study an interval multiobjective evolutionary algorithm for finding excellent design change plans. First, on the basis of the established multilayer product network with interval correlation weights, an interval multiobjective optimization model of the product design change planning problem is established, where three new objective functions regarding product performance, carbon trading cost and supply risk are defined. Then, a constraint multiobjective evolutionary algorithm based on interval Pareto dominance is proposed to search for optimal change plans. Several novel operators, including the problem characteristic-guided population update strategy, the probability-based interval Pareto dominance, and the interval constraint handling strategy, are developed to enhance the algorithm’s performance. Finally, the proposed algorithm is compared with eight existing algorithms on the two design change cases, experimental results revealed its effectiveness