IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v61y2018i1p125-133.html
   My bibliography  Save this article

How data analytics is transforming agriculture

Author

Listed:
  • Pham, Xuan
  • Stack, Martin

Abstract

Two discussions about the interaction between data analytics and competitive analysis have been taking place in the past decade: one focusing on micro-level firm capabilities and the other on macro-level industry competitiveness. We seek to integrate the micro- and macro-level analyses via the lenses of firms in agricultural input markets. Agriculture is undergoing a tremendous transformation in the collection and use of data to inform smarter farming decisions. Precision agriculture has brought a heightened degree of competition for input supply firms, forcing greater interactions among friends and foes.

Suggested Citation

  • Pham, Xuan & Stack, Martin, 2018. "How data analytics is transforming agriculture," Business Horizons, Elsevier, vol. 61(1), pages 125-133.
    • Handle: RePEc:eee:bushor:v:61:y:2018:i:1:p:125-133
    DOI: 10.1016/j.bushor.2017.09.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007681317301325
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.bushor.2017.09.011?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. ., 2016. "Participation in IMF programs," Chapters, in: The International Monetary Fund, chapter 5, pages 87-127, Edward Elgar Publishing.
    2. Hans-Wolfgang Micklitz, 2016. "Schéma théorique et programme de recherches," Revue internationale de droit économique, De Boeck Université, vol. 0(1), pages 5-34.
    3. Ward, Michael J. & Marsolo, Keith A. & Froehle, Craig M., 2014. "Applications of business analytics in healthcare," Business Horizons, Elsevier, vol. 57(5), pages 571-582.
    4. ., 2016. "The implementation of IMF programs," Chapters, in: The International Monetary Fund, chapter 6, pages 128-161, Edward Elgar Publishing.
    5. Souza, Gilvan C., 2014. "Supply chain analytics," Business Horizons, Elsevier, vol. 57(5), pages 595-605.
    6. Tan, P. & Jiang, H.R. & Zhu, X.B. & An, L. & Jung, C.Y. & Wu, M.C. & Shi, L. & Shyy, W. & Zhao, T.S., 2017. "Advances and challenges in lithium-air batteries," Applied Energy, Elsevier, vol. 204(C), pages 780-806.
    7. Carbonell, Isabelle M., 2016. "The ethics of big data in big agriculture," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(1), pages 1-13.
    8. ., 2017. "Early 1990s: advanced countries crises," Chapters, in: Financial Crises, 1929 to the Present, Second Edition, chapter 5, pages 73-94, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jérémie Forney & Angga Dwiartama, 2023. "The project, the everyday, and reflexivity in sociotechnical agri-food assemblages: proposing a conceptual model of digitalisation," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(2), pages 441-454, June.
    2. Divya Suresh & Abhishek Choudhury & Yinjia Zhang & Zhiying Zhao & Rajib Shaw, 2024. "The Role of Data-Driven Agritech Startups—The Case of India and Japan," Sustainability, MDPI, vol. 16(11), pages 1-17, May.
    3. Kosior, Katarzyna, 2020. "Economic, Ethical and Legal Aspectsof Digitalization in The Agri-Food Sector," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 311227, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    4. Theocharis Moysiadis & Konstantina Spanaki & Ayalew Kassahun & Sabine Kläser & Nicolas Becker & George Alexiou & Nikolaos Zotos & Iliada Karali, 2022. "AgriFood Supply Chain Traceability: Data Sharing in a farm-to-fork case," Post-Print hal-03766179, HAL.
    5. Alshawawreh, Ali Ra’Ed & Liébana-Cabanillas, Francisco & Blanco-Encomienda, Francisco Javier, 2024. "Impact of big data analytics on telecom companies' competitive advantage," Technology in Society, Elsevier, vol. 76(C).
    6. Václav Novák & Petr Šařec & Kateřina Křížová & Petr Novák & Oldřich Látal, 2021. "Potential Impact of Biostimulator NeOsol and Three Different Manure Types on Physical Soil Properties and Crop Status in Heavy Soils Conditions," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    7. Klingenberg, Cristina Orsolin & Valle Antunes Júnior, José Antônio & Müller-Seitz, Gordon, 2022. "Impacts of digitalization on value creation and capture: Evidence from the agricultural value chain," Agricultural Systems, Elsevier, vol. 201(C).
    8. Jerry L. Holechek & Hatim M. E. Geli & Andres F. Cibils & Mohammed N. Sawalhah, 2020. "Climate Change, Rangelands, and Sustainability of Ranching in the Western United States," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    9. Mosch, Philipp & Schweikl, Stefan & Obermaier, Robert, 2021. "Trapped in the supply chain? Digital servitization strategies and power relations in the case of an industrial technology supplier," International Journal of Production Economics, Elsevier, vol. 236(C).
    10. Ioannis Margaritis & Michael Madas & Maro Vlachopoulou, 2022. "Big Data Applications in Food Supply Chain Management: A Conceptual Framework," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    11. Paul B. Hegedus & Bruce Maxwell & John Sheppard & Sasha Loewen & Hannah Duff & Giorgio Morales-Luna & Amy Peerlinck, 2023. "Towards a Low-Cost Comprehensive Process for On-Farm Precision Experimentation and Analysis," Agriculture, MDPI, vol. 13(3), pages 1-20, February.
    12. Julie Snorek & Susanne Freidberg & Geneva Smith, 2024. "Relationships of regeneration in Great Plains commodity agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 41(4), pages 1449-1464, December.
    13. Antonio Manuel Ciruela-Lorenzo & Ana Rosa Del-Aguila-Obra & Antonio Padilla-Meléndez & Juan José Plaza-Angulo, 2020. "Digitalization of Agri-Cooperatives in the Smart Agriculture Context. Proposal of a Digital Diagnosis Tool," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    14. repec:mth:jas888:v:6:y:2018:i:4:p:84-97 is not listed on IDEAS
    15. Jennifer Clapp & Sarah-Louise Ruder, 2020. "Precision Technologies for Agriculture: Digital Farming, Gene-EditedCrops, and the Politics of Sustainability," Global Environmental Politics, MIT Press, vol. 20(3), pages 49-69, August.
    16. Njomane, Linda & Telukdarie, Arnesh, 2022. "Impact of COVID-19 food supply chain: Comparing the use of IoT in three South African supermarkets," Technology in Society, Elsevier, vol. 71(C).
    17. Luis Ruiz-Garcia & Patricia Sanchez-Guerrero, 2022. "A Decision Support Tool for Buying Farm Tractors, Based on Predictive Analytics," Agriculture, MDPI, vol. 12(3), pages 1-26, February.
    18. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael, 2022. "The perils of working with big data, and a SMALL checklist you can use to recognize them," Business Horizons, Elsevier, vol. 65(4), pages 481-492.
    20. Jingmei Gao & Zahid Sarwar, 2024. "How do firms create business value and dynamic capabilities by leveraging big data analytics management capability?," Information Technology and Management, Springer, vol. 25(3), pages 283-304, September.

    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. Santiago Salazar Marroquín, 2016. "Social programs of Ecuador´s feeding and nutrition, national strategy for healthy eating," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 41(41), pages 73-96, January-J.
    2. Ali, Abdul & Mancha, Ruben & Pachamanova, Dessislava, 2018. "Correcting analytics maturity myopia," Business Horizons, Elsevier, vol. 61(2), pages 211-219.
    3. McIver, Derrick & Lengnick-Hall, Mark L. & Lengnick-Hall, Cynthia A., 2018. "A strategic approach to workforce analytics: Integrating science and agility," Business Horizons, Elsevier, vol. 61(3), pages 397-407.
    4. Yi-Jhen Wu & Yi-Hsin Chen & Sarah M. Kiefer & Claus H. Carstensen, 2021. "Learning Strategies as Moderators Between Motivation and Mathematics Performance in East Asian Students: Latent Class Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    5. Försch, Steffen & de Haan, Evert, 2018. "Targeting online display ads: Choosing their frequency and spacing," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 661-672.
    6. Dae-Seon Hong & Yeon-Ji Choi & Chang-Su Jin & Kyoung-Hee Shin & Woo-Jin Song & Sun-Hwa Yeon, 2023. "Enhanced Cycle Performance of NiCo 2 O 4 /CNTs Composites in Lithium-Air Batteries," Energies, MDPI, vol. 17(1), pages 1-14, December.
    7. Huang, Qisheng & Xu, Yunjian & Courcoubetis, Costas, 2020. "Stackelberg competition between merchant and regulated storage investment in wholesale electricity markets," Applied Energy, Elsevier, vol. 264(C).
    8. Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
    9. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    10. Hsieh, I-Yun Lisa & Pan, Menghsuan Sam & Chiang, Yet-Ming & Green, William H., 2019. "Learning only buys you so much: Practical limits on battery price reduction," Applied Energy, Elsevier, vol. 239(C), pages 218-224.
    11. Hidalgo, Francisco & Quiñones-Ruiz, Xiomara F. & Birkenberg, Athena & Daum, Thomas & Bosch, Christine & Hirsch, Patrick & Birner, Regina, 2023. "Digitalization, sustainability, and coffee. Opportunities and challenges for agricultural development," Agricultural Systems, Elsevier, vol. 208(C).
    12. Sarah Hackfort, 2021. "Patterns of Inequalities in Digital Agriculture: A Systematic Literature Review," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    13. Wang, Yuanhui & Hao, Liang & Bai, Minli, 2022. "Modeling the multi-step discharge and charge reaction mechanisms of non-aqueous Li-O2 batteries," Applied Energy, Elsevier, vol. 317(C).
    14. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2020. "Coupling small batteries and PV generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    15. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    16. Duffner, Fabian & Mauler, Lukas & Wentker, Marc & Leker, Jens & Winter, Martin, 2021. "Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs," International Journal of Production Economics, Elsevier, vol. 232(C).
    17. Elena PUICA, 2021. "A Classification Predictive Model to Analyze the Supply Chain Strategies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 29-39.
    18. Beata Michaliszyn-Gabryś & Joachim Bronder & Janusz Krupanek, 2024. "Social Life Cycle Assessment of Laser Weed Control System: A Case Study," Sustainability, MDPI, vol. 16(6), pages 1-28, March.
    19. Ayan Chatterjee & Debmallya Chatterjee, 2024. "A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(2), pages 337-361, May.
    20. Archana A Mukherjee & Rajesh Kumar Singh & Ruchi Mishra & Surajit Bag, 2022. "Application of blockchain technology for sustainability development in agricultural supply chain: justification framework," Operations Management Research, Springer, vol. 15(1), pages 46-61, June.

    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:eee:bushor:v:61:y:2018:i:1:p:125-133. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    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.