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The Adoption of Robotic Process Automation Considering Financial Aspects in Beef Supply Chains: An Approach towards Sustainability

Author

Listed:
  • Khushboo E-Fatima

    (Department of Business Systems and Operations, University of Northampton, Northampton NN1 5PH, UK)

  • Rasoul Khandan

    (Aston Professional Engineering Centre, Aston University, Birmingham B4 7ET, UK)

  • Amin Hosseinian-Far

    (Department of Business Systems and Operations, University of Northampton, Northampton NN1 5PH, UK)

  • Dilshad Sarwar

    (Department of Business Systems and Operations, University of Northampton, Northampton NN1 5PH, UK)

Abstract

Sustainable beef production is a global challenge in present times. This research paper aims to investigate the financial risks and barriers in the adoption of robotic process automation (RPA), which has emerged as a strategic catalyst for achieving sustainability in the beef sector. Beef manufacturers constantly strive to achieve sustainability and a competitive advantage in order to gain enhanced beef productivity at low operational costs. There is a gap in the research, as there is a lack of knowledge about the financial aspects, barriers, and challenges influencing the RPA adoption process in the beef supply chain. To bridge this gap, secondary research is used to extract statistical data and information relevant to the RPA adoption process in beef supply chains, considering financial aspects. This study utilises a simulation method adopting a process model created in previous research and analyses different scenarios based on financial parameters using values or variables in Simul8 software. The scenario analysis allows for the identification of financial risks in the adoption of RPA and evaluates the simulation results from a sustainability perspective. The scenario analysis highlights the financial risks and barriers in the adoption of RPA in beef supply chains through process simulation, using financial parameters as a basis. KPI values, income statements, and carbon emission reports are generated to evaluate the main bottlenecks at various beef supply chain stages, thus allowing business users to conduct a thorough cost analysis. Successful adoption of RPA can lead to reduced supply chain complexity, thus improving financial and operational efficiency, which results in increased beef productivity, quality, and shelf life. This study is extremely important as it assesses scenarios from a sustainability perspective and contributes to academic knowledge and professional practice. It provides a process model to support the financial and ethical decision-making of managers or stakeholders, while helping the beef sector adopt RPA with greater ease. The process model can be adopted or modified according to the financial circumstances and individual requirements of business users. Furthermore, it provides decision-makers with the knowledge to eliminate or prevent financial barriers, thus advancing and accelerating the adoption of RPA. Robust adoption of RPA assists beef supply chains in gaining higher productivity at reduced costs, thus creating sustainable value.

Suggested Citation

  • Khushboo E-Fatima & Rasoul Khandan & Amin Hosseinian-Far & Dilshad Sarwar, 2023. "The Adoption of Robotic Process Automation Considering Financial Aspects in Beef Supply Chains: An Approach towards Sustainability," Sustainability, MDPI, vol. 15(9), pages 1-34, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7236-:d:1133669
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    1. Ebenezer Laryea & Amin Hosseinian-Far & Simon Derrick, 2023. "Climate Justice Implications of Banning Air-Freighted Fresh Produce," Logistics, MDPI, vol. 7(4), pages 1-18, November.
    2. Leonel Patrício & Lino Costa & Leonilde Varela & Paulo Ávila, 2023. "Sustainable Implementation of Robotic Process Automation Based on a Multi-Objective Mathematical Model," Sustainability, MDPI, vol. 15(20), pages 1-29, October.

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