A Control Risk Template to address the risks with the implementation of prescriptive analytics

Sep 11, 2026

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This study addresses complex risks arising from implementing prescriptive analytics in vineyard management. It focuses on integrating diverse, previously isolated data resources into operational decisions across irrigation, nutrition, and pest management. By aligning the approach with the UN Sustainable Development Goals, the integration supports optimisation of vineyard growth and production and enables more advanced precision agriculture under sustainable practices, introducing a Control Risk Template (CRT) to manage these risks effectively.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages15

Reading Time5 min

AccessFree to download

Introduction

Vineyard management and the need for data-driven approaches

Prescriptive analytics in vineyard operations

Purpose

Design/methodology/approach

Findings/results

Practical implications

Originality/value

South African Journal of Business Management ISSN: (Online) 2078-5976,(Print) 2078-5585 ~~ ~~ Page 1 of 15 Origina~~l Research ~~ A Control Risk Template to address the risks with the implementation of prescriptive analytics Authors: Werner A. Smit1 Christiaan Lamprecht1 Affiliations: 1School of Accountancy, Faculty of Economic and Management Sciences, Stellenbosch University, Stellenbosch, South Africa Corresponding author: Christiaan Lamprecht, [clam@sun.ac.za](clam@sun.ac.za) Dates: Received: 24 May 2024 Accepted: 16 Oct. 2024 Published: 15 Nov. 2024 How to cite this article: Smit, W.A., & Lamprecht, C.(2024) . A Control Risk Template to address the risks with the implementation of prescriptive analytics. South African Journal of Business Management, 55(1), a4708 . [https://doi](https://doi). org/10 .4102/sajbm. v55i1.4708 Copyright: © 2024. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. Read online: Scan this QR code with your smart phone or mobile device to read online. Purpose: This study addresses the complex risks of implementing prescriptive analytics in vineyard management. It focusses on integrating diverse, previously isolated data resources into operational decisions in irrigation, nutrition and pest management. Aligning with the United Nations’ Sustainable Development Goals (SDGs), this integration is crucial for optimising vineyard growth and production, and advancing precision agriculture techniques within the framework of sustainable agriculture. In this context, it introduces a Control Risk Template (CRT) to manage these risks effectively. Design/methodology/approach: The study uses an exploratory research design and grounded theory methodology to conduct a comprehensive systematic literature review. Findings/results: The findings demonstrate how the CRT can effectively identify, assess and manage the risks of deploying prescriptive analytics in vineyard management. This approach minimises risks and significantly improves decision-making and operational efficiencies in vineyard management, contributing to the advancement of sustainable agricultural practices. Practical implications: This research offers valuable insights for vineyard managers and information technology (IT) governance leaders. It provides a robust model for enhancing vineyard management through advanced data-driven decisions. Implementing the CRT facilitates better resource allocation and improved crop health management, fostering a transition towards more sustainable agricultural practices. Originality/value: This research suggests a comprehensive approach to integrating IT governance with practical agricultural operations, significantly contributing to academic research and industry practices. Moreover, the study delivers essential insights into the effective integration of prescriptive analytics in vineyard management, underscoring the transformative potential of IT governance frameworks in enhancing the sustainability and efficiency of vineyard management. Keywords: COBIT; Control Risk Template; Fourth Industrial Revolution; IT governance; prescriptive analytics; precision agriculture; risk management; sustainable agriculture; vineyard management. Introduction Vineyard management is a critical component of the global agricultural sector, significantly contributing to economies through wine production, tourism, and employment (Anderson & Pinilla, 2018). The global wine industry was valued at approximately $330 billion in 2023 and is projected to grow (Statista, 2024) . Countries like France, Italy, and Spain lead in production and exports, underscoring the global importance of efficient vineyard practices (Statista, 2024) . In South Africa, the wine industry is vital to the economy. It contributes about ZAR56.5bn (approximately $3.5bn) to the country’s gross domestic product (GDP); about ZAR31bn from the Western Cape pro

FAQs

What problem does the study address about prescriptive analytics in vineyards?

The study addresses complex risks that occur when implementing prescriptive analytics in vineyard management, especially where many data resources must be combined for operational decisions.

How is the Control Risk Template (CRT) used in the research?

The CRT is introduced as a structured way to identify, assess, and manage risks related to deploying prescriptive analytics in vineyard management.

Which vineyard operations are targeted by the proposed integration approach?

The approach targets key operational areas including irrigation, nutrition, and pest management.

Sep 11, 2026

Upload by Quinn