IDEAS home Printed from https://ideas.repec.org/a/ags/reowae/338876.html
   My bibliography  Save this article

Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach

Author

Listed:
  • Kaushik, Hans
  • Rajwanshi, Rohit

Abstract

In the context of agribusiness, technology and innovation have led to major transformations in many countries. Precision dairy farming technologies enable cost optimization, quality control, waste reduction, achieving economies of scale, efficiency in dairy resource utilization, improvement in productivity, standardized processes, enhanced decision support system and overall farm management. Despite being an overall production-wise rich country, India’s dairy sector lacks in terms of yield per cattle, overall dairy farm output, effective herd management and lack of effective technology acceptance and implementation. With the help of NGT based outcome, this research is an attempt to showcase the enablers of technology adoption in dairy farming and how these enablers interact with each other in a hierarchical form using ISM methodology. Experience in the dairy business, competitive pressure and digital literacy were found as the most crucial and driving enablers. However, agreeableness and managerial interest were found as the most dependent enablers of technology adoption. The interpretations drawn from the model can help the decision makers, policy makers and farmers not only in India but can serve as the base for other nations dependent upon agriculture to understand the inter dependency among enablers and suggestions to plan and channel technology adoption by focusing upon critical ones.

Suggested Citation

  • Kaushik, Hans & Rajwanshi, Rohit, 2023. "Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(4), November.
    • Handle: RePEc:ags:reowae:338876
    DOI: 10.22004/ag.econ.338876
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/338876/files/RWAE-0404-887.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.338876?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sanjay Jharkharia & Ravi Shankar, 2004. "IT enablement of supply chains: modeling the enablers," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 53(8), pages 700-712, December.
    2. Clemens Driessen & Leonie Heutinck, 2015. "Cows desiring to be milked? Milking robots and the co-evolution of ethics and technology on Dutch dairy farms," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(1), pages 3-20, March.
    3. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    4. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. McGrath, Karen & Brown, Claire & Regan, Áine & Russell, Tomás, 2023. "Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies," Agricultural Systems, Elsevier, vol. 207(C).
    2. Johanna Pfeiffer & Andreas Gabriel & Markus Gandorfer, 2021. "Understanding the public attitudinal acceptance of digital farming technologies: a nationwide survey in Germany," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(1), pages 107-128, February.
    3. Ivanov, Stanislav & Kuyumdzhiev, Mihail & Webster, Craig, 2020. "Automation fears: Drivers and solutions," Technology in Society, Elsevier, vol. 63(C).
    4. Baxter, David & Trott, Paul & Ellwood, Paul, 2023. "Reconceptualising innovation failure," Research Policy, Elsevier, vol. 52(7).
    5. Ivanov, Stanislav & Webster, Craig & Garenko, Aleksandra, 2018. "Young Russian adults' attitudes towards the potential use of robots in hotels," Technology in Society, Elsevier, vol. 55(C), pages 24-32.
    6. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    7. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    8. Yung-Fu Huang & Abbott Po-Shun Chen & Manh-Hoang Do & Jen-Chieh Chung, 2022. "Assessing the Barriers of Green Innovation Implementation: Evidence from the Vietnamese Manufacturing Sector," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    9. Agarwal, Richa & Bhadauria, Artee & Kaushik, Hans & Swami, Sanjeev & Rajwanshi, Rohit, 2023. "ISM-MICMAC-based study on key enablers in the adoption of solar renewable energy products in India," Technology in Society, Elsevier, vol. 75(C).
    10. Mandaroux, Rahel & Schindelhauer, Kai & Basse Mama, Houdou, 2023. "How to reinforce the effectiveness of the EU emissions trading system in stimulating low-carbon technological change? Taking stock and future directions," Energy Policy, Elsevier, vol. 181(C).
    11. Linde Inghelbrecht & Gert Goeminne & Guido Huylenbroeck & Joost Dessein, 2017. "When technology is more than instrumental: How ethical concerns in EU agriculture co-evolve with the development of GM crops," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 34(3), pages 543-557, September.
    12. Margarida Pimentel & Amílcar Arantes & Carlos Oliveira Cruz, 2022. "Barriers to the Adoption of Reverse Logistics in the Construction Industry: A Combined ISM and MICMAC Approach," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    13. Ayorinde Ogunyiola & Maaz Gardezi, 2022. "Restoring sense out of disorder? Farmers’ changing social identities under big data and algorithms," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1451-1464, December.
    14. Jérémie Forney & Angga Dwiartama & Dana Bentia, 2023. "Everyday digitalization in food and agriculture: Introduction to the symposium," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(2), pages 417-421, June.
    15. Stefan Mann, 2020. "Could We Stop Killing?—Exploring a Post-Lethal Vegan or Vegetarian Agriculture," World, MDPI, vol. 1(2), pages 1-11, August.
    16. Ifra Aziz Khan Niazi & Tehmina Fiaz Qazi & Shabana Naveed & Mashari Mahmood, 2023. "Analysing the Challenges of Insurance Companies in Pakistan While Co-Creating the Service Value," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(1), pages 113-130, March.
    17. Nitad Jaisue & Nipon Ketjoy & Malinee Kaewpanha & Prapita Thanarak, 2023. "The Barriers Analysis for Waste-to-Energy Project Development in Thailand: Using an Interpretive Structural Modeling Approach," Energies, MDPI, vol. 16(4), pages 1-19, February.
    18. Iacovone, Leonardo & Pereira-López, Mariana & Schiffbauer, Marc, 2023. "Competition makes IT better: Evidence on when firms use IT more effectively," Research Policy, Elsevier, vol. 52(8).
    19. Li, Keyao & Griffin, Mark A., 2023. "Unpacking human systems in data science innovations: Key innovator perspectives," Technovation, Elsevier, vol. 128(C).
    20. Ancín, María & Pindado, Emilio & Sánchez, Mercedes, 2022. "New trends in the global digital transformation process of the agri-food sector: An exploratory study based on Twitter," Agricultural Systems, Elsevier, vol. 203(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:reowae:338876. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://www.nassg.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.