Adoption and Influence of Robotic Process Automation in Beef Supply Chains

E-Fatima, Khushboo; Khandan, Rasoul; Hosseinian-Far, Amin; Sarwar, Dilshad; Ahmed, Hareer Fatima

doi:10.3390/logistics6030048

Cited by 15 publications

(13 citation statements)

References 40 publications

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“…Artificial intelligence has a better chance on decision making processes as this assists graphical working skill to have secured data and ethical business development. The application of decision making systems has better effect in business processes and this maintains speed of data creation, there is lower scope of having error and this is also cost-effective [7]. More advantages have gained with the decision making process in an organisation due to application of automation technology.…”

Section: Concept Of Decision Support Systemmentioning

confidence: 99%

Decision Support System: Overview, Different Types and Elements

Fernando¹,

Baldelovar²

2022

TTIDMKD

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Decision support system is especially conducts with computing elements which mainly depicts successful report of a company. This system allow to the application of technological development and software application to maintain ethical ways of business practices. The major types of DSS are document driven DSS, model driven DSS, communication driven DSS, data driven DSS and knowledge driven DSS. These types are mainly impact on business practices which finally creates systematic effect on advance production. Graphical interfaces and artificial intelligence are major aspects in this decision making procedure. In the following part of the study, the challenges of using a decision support system in a business has been illustrated in an extensive manner. There are several types of challenges which are crucial before using DSS in a business. For a decision maker, that individual should follow and be aware of technology implementation within a business for a certain manner. Also, required elements of the decision support system have been discussed with the help of proper insights. Also, the study has served with discussion and conclusion to the following topic.

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Section: Concept Of Decision Support Systemmentioning

confidence: 99%

Decision Support System: Overview, Different Types and Elements

Fernando¹,

Baldelovar²

2022

TTIDMKD

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“…Several studies such as El Khatib et al ( 2019) [29] suggested that both public and private organizations of varied sectors should be technologically dynamic as well as updated so that RPAs and related technologies can be adopted more efficiently. Overall, the findings suggest that enhanced use of RPA in existing processes will not only provide better monitoring and control capabilities but also inspire the development of new and improved platforms [35]. This will further enhance the capacity of the PM to embed technological advancements and be ready for the new tomorrow.…”

Section: Recommendationsmentioning

confidence: 90%

How Does Robotics Process Automation (RPA) Affect Project Management Practices

Khatib¹,

Almarri²,

Almemari³

et al. 2023

AIT

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The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.

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“…The process model for the simulation was derived and adopted from previous research [68] focused on potential barriers of RPA adoption in beef supply chains, based on parameters such as quality, safety, and security. This study is primarily and significantly focused on a simulation-based approach to analyse and test the business process model based on financial parameters or aspects that are important to consider for the effective adoption of RPA in beef supply chains.…”

Section: The Research Background and Present Directionsmentioning

confidence: 99%

“…Financial parameters were the basis for developing the two scenarios for testing so as to analyse the stages facing major bottlenecks. The two scenarios were tested and analysed in a virtual environment using the discrete event model that was adopted from a previous study [68], and staged different phases that were important to map in the beef supply chain system. The process model was tested to analyse and evaluate the operational efficiency of the beef supply chain; also, the adoption of RPA was observed from the perspective of creating sustainable value within the various stages of the beef supply chain.…”

Section: The Research Background and Present Directionsmentioning

confidence: 99%

“…A business process model formed in a previous study [68] was used in this paper for the simulation. The present study focused on a specific direction for the scenario analysis based on financial aspects or parameters that has not been discussed in previous research; this is an important dimension to consider when adopting RPA in beef supply chains.…”

Section: Process Model and Simulation Analysis-financial Parameters A...mentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2023

Self Cite

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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.

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Adoption and Influence of Robotic Process Automation in Beef Supply Chains

Cited by 15 publications

References 40 publications

Decision Support System: Overview, Different Types and Elements

Decision Support System: Overview, Different Types and Elements

How Does Robotics Process Automation (RPA) Affect Project Management Practices

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

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