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EN
Purpose: Changes taking place in the modern world, caused by the depletion of natural resources, and the resulting need to search for such production methods that lead to the minimisation of extraction and processing of primary raw materials, point to the need for a paradigm shift in business towards the implementation of closed material cycles. The aim of this article is to assess the extent to which Silesian enterprises are implementing initiatives related to the implementation of a circular economy with the use of the ReSOLVE model, a research framework that facilitates an overview and mapping of activities that form the basis for building circular business models. Design/methodology/approach: The study covered companies of different sizes (both SMEs and large entities) which operate in the Silesian Voivodeship. A non-probabilistic and purposive sample was selected, which ultimately included 36 companies (25 SMEs and 11 large companies). Findings: The study shows that the surveyed SMEs are much more active (when compared to large enterprises) in taking measures that, according to the ReSOLVE model, fall into the categories of Regenerate and Share. In turn, the advantages of large enterprises relate to, among other things, designing products to ensure their longer life cycle, reducing waste production and using systems/equipment that optimise resource consumption, recovering raw materials, implementing virtual services, and upgrading existing or using new technological solutions. In relation to large enterprises, the respondents indicated legal barriers as the most important, while in the SME group, market barriers, including in particular higher costs associated with the production of circular products, were mentioned. Originality/value: The study results presented in the article complement the previous literature on strategic directions, barriers and benefits while building circular business models. The key scientific contribution of the article is to confirm, in the reality of the Polish economy, the usefulness of the ReSOLVE model for identifying activities related to the implementation of a circular economy at the organizational level.
EN
Purpose: The environmental problems which have been deepening in recent decades, i.e. climate change or the degradation of the biosphere, are creating a new reality of pursuing business activity. On the one hand, firms - by their nature - seek to maintain the efficiency and to gain a competitive advantage, on the other hand - they are more and more often obliged to balance environmental goals with economic goals. Although there are opinions that these goals are competitive in themselves, it is possible for firms to reconcile them effectively by adopting Environmental Sustainability Orientation. Since this orientation is analysed in the literature from various research perspectives, this paper attempts to conceptualise it from a Dynamic Capabilities perspective. Design/methodology/approach: The paper is theoretical and based on an in-depth review of the literature. The developed conceptual model includes the direct and indirect relations among dynamic capabilities formulated in multidimensional terms, Environmental Sustainability Orientation and organisational outcomes. Embedding considerations in resource-based theories, three key processes (organisational learning, integration and reconfiguration of resources) have also been analysed, which, as necessary for building dynamic capabilities, make it easier for firms to adopt strategic Environmental Sustainability Orientation. Findings: The considerations included in the paper complement the literature in the area of strategic management and make it easier to understand Environmental Sustainability Orientation at the organisational level. They also point to a need to undertake further scientific work, the authors of which can use the research propositions elaborated in the paper and thus empirically verify the proposed conceptual model. Originality/value: The key scientific contribution of the paper is the development of a research framework formulating Environmental Sustainability Orientation from a Dynamic Capabilities perspective, i.e., respectively: (1) the capability to identify opportunities and/or threats (sensing), (2) the capability to use these opportunities and/or cope with threats (seizing) and (3) the capability to reconfigure the firm’s resources and competences (reconfiguring). The logic of this approach results from the fact that the three fundamental processes underlying the building of dynamic capabilities - organisational learning, integration and reconfiguration of resources - supported by the conscious action of CEO, make it easier for firms to adopt strategic Environmental Sustainability Orientation.
EN
Purpose: The paper examines the mediating effect of dynamic capabilities (sensing, seizing, and reconfiguring) on the relationship between critical resources (financial, human, and physical) and Polish green innovative companies’ performance. Design/methodology/approach: The paper combines the Resource-Based View of the Firm with Dynamic Capabilities View and applies them to eco-innovation performance. The study is quantitative and was conducted among 54 Polish green innovative companies. Hierarchical regression analysis was used to test the research hypotheses. Findings: The results indicate that sensing and seizing opportunities mediate the relationship between all types of resources and eco-innovators’ performance. Moreover, reconfiguring the resource base mediates the relationship between human resources and Polish green innovative companies’ economic output. Research limitations/implications: The results of the study indicate that a specific set of resources is not always enough to enhance green innovative companies’ performance. Therefore, there is a need for dynamic capabilities. Such capabilities lead to the development of resources and their dynamic adaptation to technological and market changes. The findings may contribute to a broader scientific discussion on the specificity of eco-innovative activity and its conditions in the Polish economy. Originality/value: The paper is the first to examine – to the author’s best knowledge – the mediating effect of multidimensional dynamic capabilities on the relationship between critical resources and Polish green innovative companies’ performance.
EN
Purpose: The development of technology has allowed creating and using the new, more complex computational tools in static and econometrics in recent years. Since then, resampling methods has become more popular techniques in estimating statistics from small samples. The aim of the article is to present and to compare the bootstrap and the jackknife methods in estimation of interested statistics with explaining and illustrating the usefulness and limitation in the context of using in econometric. Design/methodology/approach: To compare and present the methods, data of the length of bicycle paths divided into 371 polish counties from 2019 was received from Local Data Bank. From the data three samples were randomly selected and used as bootstrap and jackknife samples. Using the bootstrap and the jackknife simulations confidential intervals of the searching statistics with standard error were calculated. Results obtained for the methods were compared and described. Research limitations/implications: An analysis of these methods will allow improving the efficiency and reducing the error in estimating confidence intervals for searching statistics. Findings: As presented in the article, both the methods can be used to estimate mean, however, slightly better results are provided by the bootstrap. Furthermore, confidence intervals for confidence level at 95% created by these methods cover the population mean for each sample randomly selected from the population. To estimate standard deviation the better option is to choose the bootstrap method. Although, both confidence intervals for confidence at level 95% cover the population standard deviation, the bootstrap methods perform more accurate results with a smaller standard deviation. Originality/value: It was proven that the bootstrap method is slightly better in estimation confidence intervals based on the skewed data in comparison with the jackknife method.
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