5/30/2023 0 Comments Phillips ecotone![]() Statistics-based hierarchical model and MCDM based criteria weighting have been proposed, which is a new effort in evaluating organizational readiness for Big Data adoption. The finding enables decision-makers to appropriately choose the more important criteria and drop unimportant criteria in strengthening organizational readiness for Big Data adoption. Further, Fuzzy Best- Worst Method (FBWM) has been used to identify the weight of the criteria. ![]() Then the hierarchical structure of criteria was developed. In the next step using Principal Component Analysis (PCA) for criterion reduction and integration, twelve main criteria were identified. To accomplish this objective, firstly, we identified the criteria that impact organizational readiness based on a comprehensive literature review. In the present paper, we propose a model to evaluate the organizational readiness for Big Data adoption. But this is not possible unless they can assess their readiness. Managers tend to adopt Big Data, with the best readiness. This issue for complicated subjects such as Big Data is undeniable. The results of this research can formalize and validate the metaphor research as an efficient strategy for theorizing, futurology and describing complex concepts.Įvaluating organizational readiness for adopting new technologies always was an important issue for managers. We also propose a fitting test consisting of seven essential principles, which ensure that the final design of the metaphor is appropriate and works properly. The stages of proposed process include "expression of rationale and research question", "identification of possible metaphors and selection of preferable one", "evidence collection and cross-domain mapping", and "fitting test". Then, inspired by the stages of creative thinking, we present a specific process to carry out this strategy. Since the methodology is of special importance in SSH, we introduce the metaphor research strategy in the research onion. Then we describe the basics of metaphor including its concept, types, components and characteristics. Here, we first locate metaphor research in social sciences and humanities (SSH) and classify different types of its use. But there is no clear instruction for metaphor-based research and its validation principles. Circularity also includes product lifetime longer lifetime reduces the resource consumption and transportation emissions associated with the introduction of new products.Metaphors have so far inspired many researchers to explain complex concepts or new theorizing. Upgrading, serviceability, refurbishment, spare parts harvesting, increased recycled content and recyclability, weight reduction, selection of more sustainable materials – these all help to reduce resource consumption. It is calculated by assessing environmental performance over multiple life cycles, taking into account, for example, the recovery of materials and their reuse in new products. At the same time, designing packaging to be reusable, recyclable or compostable also ensures it is circular economy-ready.Ĭircularity refers to the potential of a system, product or component to contribute to the circular economy. from recycled and/or certified renewable sources, 100% recyclable, easily separable), helps minimize resource consumption and environmental impact over the life cycle of the packaging. Material, weight and volume reduction, along with smart material choices (e.g. By minimizing or eliminating the use of hazardous substances, we can reduce our products’ health and/or environmental impact. Products are made using a range of substances, some of which may have an impact on people’s health or the environment. By improving the energy efficiency of a product, we can reduce its energy consumption and carbon footprint. Energy consumption is often the single most important factor in determining a product’s lifecycle environmental impact.
0 Comments
Leave a Reply. |