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EN
The main focus of this paper is to propose a method for prioritizing knowledge and technology factor of firms towards sustainable competitive advantage. The data has been gathered and analyzed from two high tech start-ups in which technology and knowledge play major role in company’s success. The analytical hierarchy model (AHP) is used to determine competitive priorities of the firms. Then knowledge and technology part of sense and respond questionnaire is used to calculate the variability coefficient i.e. the uncertainty caused by technology and knowledge factor. The proposed model is tested in terms of two start-ups. Based on the initial calculation of uncertainties, some improvement plan is proposed and the method is applied again to see if the uncertainty of knowledge and technology decreases. In both cases, the proposed model helped to have a clear and precise improvement plan and led in reduction of uncertainty.
EN
Investments towards sustainable development are vital for the future and they must be carefully planned to deliver immediate and long-term benefits. Hence, the ability to communicate the forms of impact of sustainable investments to local societies, people, investors and other stakeholders can provide a competitive advantage. However, the assessments are often under pressure to demonstrate short-term effects rather than emphasise the long-term impact. In addition, indirect and intangible forms of impacts should not be measured solely in economic terms. This paper proposes an assessment framework to support the integrated economic and social impact assessment of sustainable investments aimed at improving physical and socio-economic wellbeing. The framework is demonstrated in two case studies: new construction and renovation investments in affordable housing and social impact investment in sustainable development. The investments in the case studies are evaluated, selected and prioritized not only in terms of money but also with regard to sustainability, social acceptability and their overall impact on society, as a whole. The results indicate that a systematic integrated assessment of monetary and non-monetary factors can be successfully combined with the sustainable development decisions.
EN
Nowadays companies concern more about how to survive and extend their own business in future in their current marketplace. However, developing and prospering a region of the country is becoming more crucial question. Successful cooperation and partnership between different sectors of economy (for instance, between companies, public and academic sectors) leads to the flourishing and prosperity of the region and consequently of a country. European Commission established smart specialization platform, which is a strategic approach to economic development of a region. By defining and developing of vision, competitive advantages and strategic preferences, region will determine knowledge-based potential. The purpose of this paper is to assign and define the collaboration/relations existed, how strong these relations are and what the expectations are between 3 sectors of economy: public, academic and business. Area of carrying out this research is Ostrobothnia region, however, connections in other regions of Finland and internationally is also presented. There have been chosen 3 industrial peaks from Ostrobothnia region: Energy, Fur and Boat industrial peaks. Analysis is conducted by implementing two core methods: Sense & Respond (S&R) and Sustainable Competitive Advantage (SCA). The goal of this research is also to use S&R method so as to allocate efficiently resources, and to define competitive priorities in cooperation. The main results show that the most tight collaboration and partnership is observed between companies and companies in all around Finland and internationally. While concerning other relationships, companies expect to have tighter cooperation especially in Ostrobothnia and other regions of Finland.
EN
The goal of this paper is to help small and medium size enterprises (SMEs) to find operative competitive advantage. This paper introduces a new method which applies critical factor analysis, risk and opportunities analysis to measure and propose resource allocation for companies in couple of next years. this research shows Knowledge/Technology (K/T) Calculation effect on (Balanced) Critical Factor Index (CFIs) depending on the proportions allocated among the different technological levels (Basic, Core or Spearhead) for each attribute separately. Moreover it helps firms to take balance in resource allocation for each attribute in changing environments on the basis of different level of technology. This paper presents the ’first in the world’ case study on operative sustainable competitive advantage and corresponding risk levels by taking into account technology and knowledge effects for 7 SME companies.
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