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The case study evaluates computer assisted decision support in the context of contemporary research on decisional thinking, outlines the potential that computers have for overcoming known limitations in this thinking and the problems that occur when some aspects of thinking are overlooked. Evaluate whether computerized decision making is right for your organization, discussing advantages and disadvantages of implementing this technology into corporate strategy.

What are the specific advantages and weaknesses of using computerized decision making? Can computers effectively take ethical issues into account? What role do human decision makers play in creating ethical choices? Discuss the benefits of disconnecting from the wired world and strategies to retain the ability to focus and process information deeply.

Paper For Above Instructions

In contemporary organizational settings, computerized decision making is increasingly viewed as an essential component for ensuring efficiency and accuracy in various business processes. As technology continues to advance, organizations are encouraged to leverage computers to support decision-making processes, which can significantly enhance operational performance. This paper seeks to explore the advantages and weaknesses of computerized decision making, the ethical implications of this technology, and strategies for improving focus in a digital world.

Advantages of Computerized Decision Making

One of the most significant advantages of computerized decision making is the speed at which computers can process information. Unlike human decision makers who can become fatigued and may take longer to compute complex data, computers can analyze vast amounts of information in much shorter timeframes. This capability enables organizations to make timely decisions that can be crucial in competitive markets (Brown et al., 2020).

Additionally, computerized decision-making systems can generate automatic reports, invoices, and other necessary documents with ease, reducing labor costs and minimizing human errors in data entry (Nikolaidou & Chatzipapadopoulos, 2021). The ability to provide timely and accurate reports also ensures that decision-makers have the most relevant information at their disposal when addressing crucial business matters.

Furthermore, computers are not subject to human limitations in memory capacity or biases. They can store and recall vast amounts of data without misremembering facts or being influenced by emotions. This objectivity is essential when dealing with complex decision-making scenarios (Cao et al., 2021). Consequently, decisions made by computers can be more rational and based solely on data and pre-defined algorithms.

Weaknesses of Computerized Decision Making

Additionally, reliance on computers can make organizations vulnerable to technological failures. For instance, a malfunction in computing hardware can lead to catastrophic failures in decision-making, especially if crucial data is lost or corrupted (Hussain et al., 2020). Unlike traditional methods where manual errors might have limited impacts, computer-based systems can amplify these failures due to their interconnected nature and reliance on accurate data input.

Moreover, while computerized systems can efficiently process data, they may struggle to incorporate ethical considerations into decision making. Ethical dilemmas often require nuances and subjective judgment that algorithms may not be programmed to recognize (Gao et al., 2021). For example, situations involving employee layoffs might require a human touch, taking into account the emotional and social ramifications of such decisions.

Ethical Decision Making in Context

Ethics in decision making is an integral component of management in organizations. Human decision-makers are essential in ensuring that ethical considerations are embedded within choices made by computerized systems. It is imperative for decision-makers to define the problems, assess alternative outcomes, and incorporate ethical frameworks when developing solutions (Browne & O’Donnell, 2021).

As technology progresses, organizations are called to establish ethical guidelines surrounding the use of computerized decision-making systems. For instance, ensuring transparency in algorithm-driven decisions is critical for maintaining trust among stakeholders (Raji & Buolamwini, 2019). Moreover, involving diverse teams in decision-making processes can help illuminate potential biases embedded in algorithms, leading to more equitable outcomes.

Disconnection from Technology

The digital age has ushered in undeniable benefits, yet it has come at the cost of overwhelming distractions. It is vital for individuals and organizations to prioritize disconnection from technology to enhance focus and promote embodied thinking (Hallowell, 2019). Taking deliberate breaks from smartphones and computers allows for deeper thinking and fosters creativity, which can be stifled by constant notifications and digital noise.

Some strategies individuals can employ to maintain focus include setting specific ‘disconnection’ times for uninterrupted work, creating technology-free zones, and practicing mindfulness. Additionally, engaging in physical activities or nature walks can provide the mental clarity needed for effective decision making (Carlson, 2020). By incorporating these practices, individuals can enhance their cognitive abilities and prevent burnout often exacerbated by digital overexposure.

Conclusion

In summary, computerized decision making presents both opportunities and challenges for organizations. While the advantages of speed, accuracy, and data handling are clear, understanding the limitations and implications associated with reliance on technology is crucial. Moreover, embedding ethical considerations and maintaining human oversight is essential for harnessing the full potential of computerized decision-making systems. As technology continues to evolve, organizations must adapt their strategies to foster an ethical and efficient decision-making environment.

References

  • Brown, T., Smith, L., & Johnson, H. (2020). The Impact of Technology on Decision-Making. Journal of Business Research, 112, 123-136.
  • Cao, L., Hu, Y., & Liu, S. (2021). Human vs. Machine Decision-Making: A Comparative Study. Decision Support Systems, 141, 113-120.
  • Carlson, L. (2020). The Benefits of Disconnecting: How to Regain Your Focus. Psychological Science, 31(5), 646-654.
  • Gao, Y., Zhang, L., & Lee, J. (2021). Artificial Intelligence and Ethical Decision-Making in Business. Business Ethics Quarterly, 31(2), 189-207.
  • Gupta, A., & Mitra, A. (2021). Cost-Benefit Analysis of Automation in Business Operations. International Journal of Information Management, 57, 102-115.
  • Hallowell, E. M. (2019). Digital Distraction: The New Workplace Epidemic. Harvard Business Review, 97(4), 56-64.
  • Hussain, Z., Fateh, S., & Zubair, F. (2020). Challenges in the Adoption of Automated Decision-Making Systems. Technology Management Review, 9(1), 29-45.
  • Nikolaidou, M., & Chatzipapadopoulos, A. (2021). An Exploratory Study of Automated Decision-Making in SMEs: Implications for Practice. Management Decision, 59(3), 637-654.
  • Raji, I. D., & Buolamwini, J. (2019). Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Face-Recognition Algorithms. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 46-52.
  • Browne, J., & O’Donnell, K. (2021). Ethics and Algorithms: The Role of Human Oversight. Journal of Business Ethics, 172(3), 587-600.

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