Part 1 Answer: The Module Review Questions Listed Bel 399787 ✓ Solved

Part 1answer The Module Review Questions Listed Below These Question

Answer the module review questions below to demonstrate understanding and assess progress. Cover topics including key trends in computer peripheral devices, future hardware developments, trends in computer system development, important application software for business users, major trends in software, and the necessity of operating systems. Additionally, recommend suitable software packages for a retail department store and evaluate accounting principles and transaction effects within business contexts.

Sample Paper For Above instruction

In the rapidly evolving landscape of information technology, understanding current trends and future developments is essential for leveraging computer systems effectively in business environments. This paper explores key trends in computer peripheral devices, anticipated hardware innovations, development trends in major computer systems, and important application software for business end users. Furthermore, it discusses significant trends in software and the role of operating systems, offers software recommendations for retail organizations, and evaluates accounting principles and transaction impacts on financial statements, as exemplified by case scenarios.

Key Trends in Computer Peripheral Devices and Impacts on Business

One of the dominant trends in computer peripherals is the move toward wireless and Bluetooth-enabled devices, enhancing mobility and reducing clutter. Devices such as wireless mice, keyboards, printers, and external drives are transforming workspace efficiency (Smith & Williams, 2020). Additionally, there is an increasing adoption of high-resolution monitors and virtual reality peripherals, facilitating immersive experiences and precise data visualization. These developments significantly impact businesses by improving employee productivity, enabling remote work, and enhancing customer engagement through advanced presentations and interaction (Johnson, 2019).

Moreover, the integration of Peripheral Component Interconnect Express (PCIe) technologies and faster USB standards accelerates data transfer speeds, supporting large data processing essential for big data analytics and AI applications (Lee & Kim, 2021). The trend toward IoT peripherals also allows companies to monitor and manage hardware remotely, vastly improving operational efficiency and predictive maintenance capabilities (Garcia, 2022).

Future Hardware Developments and Their Business Implications

Looking ahead, hardware development is poised to focus on quantum computing, edge computing, and advanced semiconductor technologies. Quantum computers promise exponential processing power, revolutionizing data analysis and cryptography (Miller, 2023). As these become feasible, enterprises could solve complex problems in logistics, financial modeling, and cybersecurity more efficiently.

Edge computing hardware, characterized by localized processing units, is expected to reduce latency and bandwidth issues, facilitating real-time data processing for IoT devices (Nguyen & Patel, 2020). Semiconductor advancements, such as the development of smaller, more efficient transistors (e.g., 3nm processes), will lead to faster, more energy-efficient devices, influencing everything from mobile computing to large-scale data centers (Chen et al., 2022). These innovations will enable more sophisticated business applications, from real-time analytics to autonomous systems.

Development Trends in Major Types of Computer Systems

Major types of computer systems, including personal computers, servers, mainframes, and cloud-based systems, are evolving toward integration and increased scalability. Cloud systems are becoming dominant, offering on-demand resource availability, cost efficiency, and flexible scalability (Brown & Liu, 2021). Virtualization technologies enable multiple operating systems and applications to run on a single physical machine, optimizing resource utilization.

Concurrently, supercomputers and high-performance computing clusters are advancing, especially in AI and scientific research domains. The proliferation of edge devices and IoT systems means that distributed computing is increasingly central, supporting rapid data collection and processing close to the data source (Singh et al., 2022). These tendencies foster more flexible, resilient, and real-time capable computing environments vital for contemporary business needs.

Essential Application Software for Business End Users

For business end users, certain application software packages are indispensable due to their productivity-enhancing features. Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) remains the core set for documentation, data analysis, presentations, and communication (Johnson, 2018). Customer Relationship Management (CRM) software such as Salesforce helps in managing customer interactions and sales pipelines, which are critical for marketing and sales functions.

Enterprise Resource Planning (ERP) systems like SAP or Oracle ERP integrate core business processes such as finance, supply chain, and human resources, providing a unified view that improves decision-making (Kumar & Sethi, 2019). Other vital packages include project management tools (e.g., Microsoft Project, Trello), accounting software (e.g., QuickBooks, Sage), and data analytics platforms (e.g., Tableau, Power BI). These tools streamline workflows, enhance collaboration, and support strategic planning, making them essential for daily operations and long-term success.

Trends in Software Development and Future Capabilities

The software industry is trending toward increased automation, artificial intelligence (AI), and cloud-based development platforms. AI-driven features, such as predictive analytics, natural language processing, and machine learning, are increasingly embedded in business software (Davis & Clark, 2021). On the cloud, platforms like AWS, Azure, and Google Cloud facilitate scalable, accessible, and collaborative development environments (Perez, 2020).

Future software is expected to exhibit more adaptive interfaces, improved security features such as biometric authentication, and seamless integration through APIs. Augmented reality (AR) and virtual reality (VR) capabilities will likely become standard in tools for training, design, and customer engagement. Moreover, software automation will extend into areas such as customer service chatbots and robotic process automation (RPA), streamlining workflows and reducing operational costs (Chen et al., 2023).

Necessity of Operating Systems in Computing

An operating system (OS) is vital because it acts as an intermediary between hardware and application software. Without an OS, end users cannot efficiently utilize hardware resources, as applications depend on the OS to manage memory, input/output devices, and file systems (Silberschatz et al., 2020). The OS provides a user interface, simplifies hardware management, and ensures security and stability by controlling access to hardware resources.

Loading an application directly onto hardware without an operating system would require the user to handle complex hardware controls and manage resources manually, which is impractical. Therefore, the OS abstracts hardware complexities, allowing users to focus on their core tasks and enabling multi-tasking, resource management, and device control essential for modern computing environments (Stallings, 2018).

Software Recommendations for a Department Store

ABC Department Stores require various software packages to support their operations effectively. For browsing and accessing internal and external information, they need web browsers such as Google Chrome or Mozilla Firefox. Communication within the organization can be facilitated through messaging and collaboration platforms like Microsoft Teams or Slack. To promote teamwork, project management tools such as Asana or Trello are recommended.

For productivity, Microsoft Office Suite remains essential for document processing and reporting. Financial analysis and decision-making necessitate spreadsheet software like Microsoft Excel, capable of handling sales data, inventory analysis, and sales calls tracking. To create graphical presentations, PowerPoint is indispensable, while specialized data analysis tools like Tableau can be used for reporting and data visualization. For data collection and storage, a database system like Microsoft Access or a cloud-based solution ensures efficient data retrieval, modification, and security (Chen et al., 2022).

Evaluation of Accounting Principles and Transaction Effects

The situations involve key accounting principles and assumptions. Julia Company's decision to report buildings at fair value aligns with the fair value measurement principle, which emphasizes relevance but conflicts with the historical cost principle that underpins consistency and comparability in accounting (Kieso et al., 2019). Reporting at fair value may be acceptable under certain accounting standards like IFRS but is considered incorrect under U.S. GAAP for regular financial reporting without proper context.

DeKalb Company's inclusion of only monetary transactions adheres to the monetary unit assumption, which assumes that financial reports should record only transactions measurable in monetary terms (Wild et al., 2019). Omar Sharif recording personal living costs as company expenses violates the economic entity assumption, which mandates separation of personal and business finances, and thus, the method is incorrect.

Effects of Transactions on Assets, Liabilities, and Equity

The purchase of computer terminals for $20,000 from Digital Equipment affects the assets account by increasing assets through the computer equipment, and decreases cash or increases liabilities if purchased on credit. Specifically, assets increase by $20,000 while cash decreases or accounts payable increases correspondingly. There is no immediate impact on liabilities unless the purchase is financed through credit, in which case, liabilities increase, and assets increase. This transaction reflects an asset exchange with no immediate effect on stockholders' equity, as expenses or revenues are not involved directly at this point (Kimmel et al., 2019).

Conclusion

Understanding current trends and future developments in computer hardware, software, and system architecture is crucial for businesses to stay competitive. The integration of advanced peripherals, hardware innovations like quantum and edge computing, and evolving software capabilities including AI and automation, are shaping the future of business computing. Meanwhile, foundational concepts such as operating systems and adherence to accounting principles underpin effective management of resources and financial information. By aligning technological advancements with strategic business needs, organizations like ABC Department Stores can optimize operations and enhance overall productivity.

References

• Brown, T., & Liu, Y. (2021). Cloud computing in business environments. Journal of Information Technology, 36(2), 145-160.
• Chen, L., Zhang, H., & Patel, R. (2022). Semiconductor advancements and their impact on computing. Semiconductor Science and Technology, 37(4), 045002.
• Chen, S., Garcia, M., & Nguyen, P. (2023). Future trends in automation and AI in enterprise software. International Journal of Computer Science, 48(1), 67-81.
• Davis, R., & Clark, J. (2021). Artificial intelligence in business applications. Business Technology Journal, 22(3), 113-129.
• Garcia, M. (2022). Internet of Things and remote hardware monitoring. IoT Journal, 4(2), 44-55.
• Kieso, D., Weygandt, J., & Warfield, T. (2019). Intermediate Accounting (16th ed.). Wiley.
• Kimmel, P. D., Weygandt, J. J., & Kieso, D. E. (2019). Financial Accounting: Tools for Business Decision Making (8th ed.). Wiley.
• Lee, S., & Kim, J. (2021). High-speed data transfer protocols and their business implications. Journal of Network and Systems Management, 29(2), 363-378.
• Miller, R. (2023). Quantum computing and its future in business. Journal of Futuristic Technologies, 15(1), 23-35.
• Nguyen, T., & Patel, M. (2020). Edge computing and real-time data processing. IEEE Communications Magazine, 58(4), 14-20.