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An Integrated SWARA, QFD, and ISM Approach for Agricultural Injuries in India

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  • Debesh Mishra

    (KIIT Deemed to be University, Bhubaneswar, India)

  • Suchismita Satapathy

    (KIIT Deemed to be University, Bhubaneswar, India)

Abstract

A survey was carried out to study and collect data about the agricultural farmer injuries of Odisha in India. Five villages with major population with farming as occupation were selected. A total of 145 farmers were selected for the study. It was found that, the number of accidents by hand tools such as spades, plain edge sickles, serrated sickles, and shovels were 13 (16.45%), 6 (7.59%), 11 (13.92%), and 7 (8.86%), respectively. Also, it was observed that maximum number of male and female farmers who were victims of agricultural injury were in the age group of 31 to 45. A smaller number of injured farmers were found in the age group of 18 to 30. Factor analysis followed by the SWARA method was used to rank the important variables which were found as the causes for agricultural accidents or injuries by the responses obtained through questionnaires. Finally, QFD & Interpretive Structural Modeling (ISM) and MICMAC analysis was performed, to frame design requirements in the form of safety requirements.

Suggested Citation

  • Debesh Mishra & Suchismita Satapathy, 2020. "An Integrated SWARA, QFD, and ISM Approach for Agricultural Injuries in India," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 12(2), pages 1-24, April.
    • Handle: RePEc:igg:jdsst0:v:12:y:2020:i:2:p:1-24
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2020040101
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    Cited by:

    1. Debesh Mishra & Kamalakanta Muduli & Rakesh Raut & Balkrishna Eknath Narkhede & Himanshu Shee & Sujoy Kumar Jana, 2023. "Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India," Sustainability, MDPI, vol. 15(8), pages 1-25, April.

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