Assignment Sample on Leading through digital disruption
Introduction
Task 1: Opportunities and challenges analysis
Background and description of ADM agriculture Ltd
Flamingo horticulture is a UK-based vertically unified horticulture firm that is effective in the expanding, managing, marketing and delivery of organic, manufactured flowers and superior vegetables. The organisation was established in the year 1982 and has its headquarters situated in Stevenage, United Kingdom (Flamingo, 2022). The organisation operates in the agriculture industry that aims towards passionately provide high-quality products to customers that help in growing their experiences. The total number of employees that work within the organisation is 5,069 as of the year 2022 (Zoominfo, 2022). Revenue generated by the organisation during the year 2022 is $ 2.4 billion which successfully contributes towards the overall growth of the business. The products that are being offered by the organisation comprise sustainably generated roses and other cut flowers and exceptional and made speciality vegetables (Flamingo, 2022). The customer base for Flamingo horticulture comprises B2B, B2C and customers who search for sustainable flowers and vegetables at affordable prices. Currently, the organisation operates through the UK market but it has its presence in the global platform as well such as Japan, the Middle East and Europe.
Figure 1: Revenue growth of the agricultural industry in the UK, Source: (Statista, 2023)
Present technological challenges Flamingo horticulture is currently facing
Technological challenges that are being faced by Flamingo horticulture comprise of lack of advanced data analytics tools that make it challenging for the organisation to determine their past performance, and sales and monitor their regular activities. Failing to undertake advanced analytics in use increases challenges for the organisation in failing to determine future sales, monitor the process of crop harvesting and determine the purchasing pattern of customers (Kamilaris, et al., 2019). The organisation also fails in implementing technology that might help the organisation in capturing the parameters of soil, seeds quality and fertilisers application that increases the challenges for the organisation in increasing the production capacity of the organisation as a result of which it decreases the overall performance and productivity (Jia, et al., 2021). Failing to integrate advanced technology in their crop production makes it challenging for Flamingo horticulture to minimise the overall losses in production. Moreover, the challenge that the organisation face due to poor integration of technology comprises of failure to detect weed through an invasive weed optimisation algorithm making it challenging for the organisation in growing its agriculture production capability (Kasemi, et al., 2022).
Discussion of digital transformation objectives
Digital transformation objectives for Flamingo horticulture are as follows.
- To implement advanced analytical technology to determine the growth pattern for the organisation.
- To eliminate the issues through technology integration to increase the performance and productivity of the organisation.
- To increase the operational effectiveness through technological advancement in Flamingo horticulture
Description of objectives helps the organisation in analysing the crop harvesting, sowing and monitoring that increases the chance of yielding better crop harvesting results that positively contribute towards organisational development. To achieve the objectives Flamingo horticulture sets up correct steps and procedures that assist them in positively achieving their goals that contribute towards organisational development.
Task 2: New trend for digital agility
Digital business agility mode
Examination of the digital business agility model rightfully explains the three pillars such as hyperawareness that assist the agricultural company Flamingo horticulture in detecting, monitoring along with understanding the consequences of change within the business environment (Orvos & McDermott., 2019). The process of hyperawareness aids Flamingo horticulture in gathering information and using it to develop the overall operations of the organisation. The stage of informed decision is known as the stage where the focus of the organisation is towards gathering data and then using it to make informed-decisions that assist in growing the overall production of crop harvesting in the UK (Hazra & Unhelkar, 2020). During the stage of informed decision technological tools such as predictive analytics are being used that is being used by the agriculture organisation to make future predictions (Xu & Koivumäki, 2019). The third stage of fast execution in the digital business agility model help Flamingo horticulture quickly and effectively take action plans that assist in increasing the ability of risk-taking within the organisation positively contributing to organisational development.
Application of new technology in Flamingo horticulture
Flamingo horticulture is looking forward to implementing advanced technology within their agricultural activities such as artificial intelligence. Implementing artificial intelligence within Flamingo horticulture aids in carrying out automatic weeding that helps in increasing the growth of the main food crop (Jha, et al., 2019). Automatic harvesting is also being carried out through the help of AI in agriculture as AI tools are being used to recognise the harvesting patterns and suggest to the agricultural organisation the activities that needed to be taken to grow the harvesting of crops and plantation. Machine learning will also be used by Flamingo horticulture as it will enable the organisation to optimise the way food gets to the table and revolutionise the whole agricultural business (Benos, et al., 2021). Machine learning in agricultural practices of Flamingo horticulture increases efficiency and accuracy in decision-making while simultaneously minimising risks and costs associated with agricultural operations. Quantum computing will also be used in Flamingo horticulture as it will aim towards increasing crop efficiency it also helps the farmers in making correct use of the fertilisers effectively (Azoquantum, 2022).
Explanation and analysis of the chosen technologies
The chosen technology by Flamingo horticulture comprises artificial intelligence, machine learning and quantum computers. The application of technology in the agricultural business of Flamingo horticulture helps them in improving efficiency and at the same time monitoring soil health to increase the productivity of harvesting, proper irrigation management is also being performed so that efficient make use of water so that minimum wastages can be performed (Ben Ayed & Hanana, 2021). Using advanced technologies also helps the organisation in eliminating the concern of waste while enhancing product quality. Quantum computing will also be used by Flamingo horticulture which will be benefiting from the optimising algorithm that increases the crop harvesting process for the organisation (Dtn, 2022).
References
Ben Ayed, R. & Hanana, M., 2021. Artificial intelligence to improve the food and agriculture sector. Journal of Food Quality, 3(1), pp. 1-7.
Benos, L. et al., 2021. Sensors. Machine learning in agriculture: A comprehensive updated review, 21(11), p. 3758.
Dtn,2022.Howismachinelearningusedinagriculture.[Online]Availableat:https://www.dtn.com/how-is-machine-learning-used-in-agriculture/[Accessed 21 February 2023].
Flamingo,2022.Flamingo_products.[Online]Availableat:https://flamingo.net/wp-content/themes/flamingo-2021/images/Flamingo_products.pdf[Accessed 21 February 2023].
Flamingo,2022.Home.[Online]Availableat:https://flamingo.net/home[Accessed 21 February 2023].
Hazra, T. & Unhelkar, B., 2020. Enterprise Architecture for Digital Business: Integrated Transformation Strategies. London: Auerbach Publications.
Jha, K., Doshi, A., Patel, P. & Shah, M., 2019. A comprehensive review on automation in agriculture using artificial intelligence. Artificial Intelligence in Agriculture, 2(1), pp. 1-12.
Jia, L., Wang, J., Liu, Q. & Yan, Q., 2021. Application research of artificial intelligence technology in intelligent agriculture. In The 10th International Conference on Computer Engineering and Networks. In: London: Springer Singapore, pp. 219-225.
Kamilaris, A., Fonts, A. & Prenafeta-Boldύ, F., 2019. Trends in Food Science & Technology. The rise of blockchain technology in agriculture and food supply chains, 91(1), pp. 640-652.
Kasemi, R., Lammer, L. & Vincze, M., 2022. IFAC-PapersOnLine. The gap between technology and agriculture, barrier identification and potential solution analysis, 55(39), pp. 314-318.
Orvos, J. & McDermott., O. a., 2019. Achieving Business Agility. London: Apress.
Xu, Y. & Koivumäki, T., 2019. Computers in Human Behavior. Digital business model effectuation: An agile approach, 95(1), pp. 307-314.
Zoominfo,2022.FlamingoHorticulture.[Online]Availableat:https://www.zoominfo.com/c/flamingo/374417678[Accessed 21 February 2023].
