Choose Topic Related To Current Or Emerging MIS Technology

Choose Topic Related To Current Or Emerging MIS Technologypick Any Or

Choose topic related to current or emerging MIS technology. Pick any organization. 1. Discuss the role of information systems in an organization. 2. Compare and contrast various approaches to organizing information system resources. 3. Describe the responsibilities associated with collecting data, designing information systems, and using information systems. 4. Discuss the use of information systems in the managerial decision-making process. 5. Select and use appropriate software to aid in the solution of business problems. 6. Discuss emerging technologies that enable new forms of communication, collaboration, and partnering. The paper must be completed with the criteria rubric attached. The paper should be a minimum of 5 pages, double-spaced, with a reference page including a minimum of 5 credible sources listed. Use paraphrasing to synthesize information sources—do not include direct quotes.

Paper For Above instruction

Introduction

Microeconomic systems (MIS) have become integral to modern organizations by facilitating efficient management, decision-making, and communication. As technological advancements continue to evolve rapidly, organizations must adapt their information systems to harness emerging technologies. This paper examines the role of information systems within organizations, compares various approaches to organizing these resources, discusses responsibilities associated with data management and system design, explores the use of IS in managerial decision-making, evaluates appropriate software tools, and highlights emerging technologies that foster new modes of communication and collaboration. Focusing on a contemporary organization, this discussion underscores the importance of leveraging current and emerging MIS technologies to enhance organizational effectiveness.

The Role of Information Systems in Organizations

Information systems (IS) serve as the backbone for operational excellence, strategic planning, and competitive advantage within organizations (Laudon & Laudon, 2020). In particular, MIS facilitates data collection, processing, and dissemination, enabling organizations to streamline operations, improve customer engagement, and innovate product offerings. For example, retail giants like Amazon utilize advanced MIS to manage vast inventories and personalize customer experiences through data analytics, which leads to optimized supply chain management and increased sales (Brynjolfsson & McAfee, 2014). MIS also supports managerial functions such as planning, controlling, and decision making by providing timely and accurate information (Turban et al., 2021). As organizations increasingly depend on digital data, the role of MIS becomes paramount in ensuring efficient data integration and security, especially amid rising cybersecurity threats.

Approaches to Organizing Information System Resources

Organizing information system resources can follow various models, each suited to specific organizational needs. Centralized systems consolidate data and processing hardware in a single location, allowing uniform management but risking bottlenecks if demand surges (O'Brien & Marakas, 2016). Conversely, decentralized systems distribute resources across departments or locations, enhancing flexibility and responsiveness but posing challenges in maintaining consistency and security. Hybrid approaches combine elements of both, providing scalable and resilient structures. Cloud computing exemplifies a modern approach, offering scalable, on-demand access to resources over the internet, reducing capital expenditure and enabling rapid deployment (Marston et al., 2011). For example, Netflix relies heavily on cloud infrastructure to manage data storage and streaming services efficiently, highlighting how flexible resource organization can support high scalability.

Responsibilities in Data Collection, System Design, and Usage

Data collection responsibilities include establishing data governance policies, ensuring data quality, and maintaining data privacy. Data architects and analysts collaborate to design databases and information flows aligning with organizational goals (Kroenke & Boyle, 2019). During system design, responsibilities shift towards evaluating user requirements, selecting appropriate hardware and software, and developing interfaces that enhance usability. IT professionals and business stakeholders jointly ensure systems are scalable, secure, and compliant with regulations such as GDPR. Once deployed, the use of information systems demands ongoing maintenance, training, and security management to prevent disruptions and misuse. For instance, healthcare organizations must uphold strict confidentiality standards while managing patient data effectively.

Information Systems in Managerial Decision-Making

Managerial decision-making has been transformed by IS through the provision of real-time data and analytic tools (Power, 2018). Decision support systems (DSS) enable managers to simulate scenarios and assess the impact of various strategies without risking organizational resources. Business intelligence (BI) platforms aggregate data from multiple sources to reveal patterns and trends, facilitating strategic decisions on investments, marketing, and operations (Chen et al., 2012). For example, a hotel chain might analyze booking data and customer feedback to optimize pricing strategies dynamically. These technologies empower managers at all levels to make informed decisions based on empirical evidence rather than intuition alone, ultimately leading to better organizational outcomes.

Software Tools for Business Problem Solving

Choosing appropriate software tools is fundamental in addressing complex business problems. Enterprise resource planning (ERP) systems integrate core processes such as finance, supply chain, and human resources, providing a unified view of organizational data (Huang & Rust, 2021). Customer relationship management (CRM) software enhances customer service and sales efficiency. Data analysis tools such as Tableau and Power BI facilitate visualization and insight generation, allowing users to identify actionable trends rapidly (Shmueli & Koppius, 2011). For example, a manufacturing firm might utilize ERP to streamline procurement, while employing BI tools to analyze production data and reduce waste. The successful application of these tools requires understanding the specific business context and aligning software capabilities with strategic objectives.

Emerging Technologies Enabling New Communication and Collaboration

Emerging technologies such as artificial intelligence (AI), blockchain, and 5G networks are revolutionizing communication and collaboration (Kshetri, 2018). AI-powered chatbots facilitate instant communication with customers and employees, improving responsiveness and operational efficiency. Blockchain provides a secure, transparent way to verify transactions and share data across multiple stakeholders, fostering trust and reducing fraud (Swan, 2015). The proliferation of 5G connectivity enhances remote collaboration by supporting high-definition video conferencing and real-time data sharing (Rappaport et al., 2019). Cloud-based collaboration platforms like Microsoft Teams and Slack enable geographically dispersed teams to work seamlessly, sharing documents and coordinating tasks efficiently. These technologies not only enhance internal communication but also facilitate strategic partnerships, innovation, and global scalability.

Conclusion

The evolution of MIS technologies continues to shape the strategic and operational landscape of organizations. As demonstrated through the example of Amazon, effective deployment of information systems impacts everything from supply chain management to personalized customer engagement. Approaches to organizing these resources must balance centralized control with flexibility, often leveraging cloud infrastructure for scalability. Responsibilities in data governance and system design are critical to ensure integrity, security, and usability. Managerial decision-making is increasingly informed by advanced analytics and decision support tools, leading to smarter strategies. Emerging technologies such as AI, blockchain, and 5G accelerate communication and collaboration, unlocking new competitive advantages. Organizations that proactively adopt and adapt to these technological trends will be better positioned to thrive in the digital age.

References

  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165–1188.
  • Huang, M. -H., & Rust, R. T. (2021). Engaged to a Robot? The Role of AI in Service. Journal of Service Research, 24(1), 30-41.
  • K Kroenke, D., & Boyle, R. J. (2019). Using MIS (7th ed.). Pearson.
  • Kshetri, N. (2018). 1 The emerging role of Big Data in key development issues: Opportunities, challenges, and concerns. Big Data for Development, 1, 1-20.
  • Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
  • Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—the business perspective. Decision Support Systems, 51(1), 176-189.
  • O'Brien, J. A., & Marakas, G. M. (2016). Management Information Systems (11th ed.). McGraw-Hill Education.
  • Power, D. J. (2018). Decision Support, Analytics, and Business Intelligence. Handbook of Operations Research and Management Science, 83, 365-398.
  • Swan, M. (2015). Blockchain: Blueprint for a new economy. O'Reilly Media.
  • Rappaport, T. S., Sun, S., & Zhang, W. (2019). 5G Mobile Communications: Past, Present, and Future. IEEE Access, 7, 147601–147612.

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