Prioritization of technology commercialization success factors using fuzzy best worst method

Olawore, A.S.; Wong, Kuan Yew; Ma’aram, Azanizawati; Sutopo, Wahyudi

doi:10.1016/j.joitmc.2023.100096

Cited by 2 publications

(1 citation statement)

References 56 publications

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“…Many factors in uence the transmission of these diseases, including the environment, demographics, and human behavior (Tu, Wu, and Pedrycz 2023). As India's population increases, urbanization increases, and climate patterns change, vector-borne diseases have become one of the biggest challenges for the public health system (Olawore et al 2023).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Abishek,

2024

Preprint

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The term mosquito-borne disease refers to diseases transmitted by mosquitoes. Emerging or re-emerging diseases occur in a previously uninfected region, group, or individual. Several infectious diseases can cause dengue, chikungunya, Zika, West Nile fever, and malaria, for example. As a result of competent mosquitoes and frequent travel to endemic areas, these diseases are likely to emerge or re-emerge in India. Several factors affect the distribution of vectors and/or diseases, including climate conditions, meteorological conditions, the environment, and demographic factors. Several countries with similar environmental conditions such as China, Nepal, Pakistan, Bangladesh, and Bhutan are examined in this paper. It will also identify mosquito vector introductions or spreads. Multicriteria decision-making is used in India to prioritize diseases. In accordance with PRISMA guidelines, we identified, selected, and evaluated relevant studies. 223 of the 469 articles identified in the databases were reviewed. 47 articles between 2000 and 2017 were included in the data set. In the papers, dengue, zika, and chikungunya were discussed. Population density, precipitation, and temperature influenced results. Temperature, precipitation, and NDVI are the most commonly used variables. In 23% of the articles, temperature, precipitation, and water indexes were the largest variables. Recent publications on mosquito-borne diseases indicate that mosquito-borne diseases are becoming more important in India. Environmental and climatic factors influence emerging diseases' spatial distribution and emergence.

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Section: Introductionmentioning

confidence: 99%

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Abishek,

2024

Preprint

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Commercialising the Advanced Materials R&D in the Indian Ecosystem

Bhardwaj,

Jain

2024

Asia-Pacific Journal of Management Research and Innovation

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Research and Technology Organisations (RTOs) are expected to manage the value chain involving the development, demonstration and transfer of technologies. Different technology commercialisation (TC) models, which provide a guiding framework for the management of this value chain, have been proposed in the recent past. The capability of these TC models to address challenges specifically associated with the commercialisation of advanced materials technologies is assessed and a conceptual model is proposed. A case study associated with the commercialisation of advanced materials technology is used to refine the conceptual model. It was found that the conceptual model requires appropriate adjustments especially when an RTO and an industrial organisation have collaboratively worked to realise successful commercialisation.

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Prioritization of technology commercialization success factors using fuzzy best worst method

Cited by 2 publications

References 56 publications

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Optimizing the impact of vector-borne diseases in India through the best-worst multicriteria decision-making method for prioritizing their distribution based on impact factor

Commercialising the Advanced Materials R&D in the Indian Ecosystem

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