Week 1 Research Paper: This Week's Journal Article Focus ✓ Solved

Week 1 Research Paperthis Weeks Journal Article Was Focused On The Co

This week’s journal article was focused on the Complexity of Information Systems Research in the Digital World. Complexity is increasing as new technologies are emerging every day. This complexity impacts human experiences. Organizations are turning to digitally enabled solutions to assist with the emergence of digitalization. Please review the article and define the various technologies that are emerging as noted in the article.

Note how these emerging technologies are impacting organizations and what organizations can do to reduce the burden of digitalization. Be sure to use the UC Library for scholarly research. Google Scholar is also a great source for research. Please be sure that journal articles are peer-reviewed and are published within the last five years.

The paper should meet the following requirements: 3-5 pages in length (not including title page or references) APA guidelines must be followed. The paper must include a cover page, an introduction, a body with fully developed content, and a conclusion.

A minimum of five peer-reviewed journal articles. The writing should be clear and concise. Headings should be used to transition thoughts. Don’t forget that the grade also includes the quality of writing.

Sample Paper For Above instruction

Introduction

In the rapidly evolving landscape of information systems, recent research underscores the increasing complexity introduced by emerging digital technologies. As organizations strive to adapt to this digital transformation, understanding these technologies and their impacts becomes essential. This paper explores the emerging technological trends highlighted in scholarly literature, examines their influence on organizational operations, and discusses strategies to mitigate the challenges associated with digitalization.

Emerging Technologies in Digitalization

The proliferation of technologies such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), blockchain, and edge computing are at the forefront of digital transformation. AI and ML facilitate automation and advanced data analytics, enabling organizations to derive insights and optimize processes (Zheng, 2019). IoT devices connect physical assets to digital networks, revolutionizing sectors like manufacturing and healthcare by providing real-time data (Kaur & Aggarwal, 2020). Blockchain technology enhances data security and transparency, particularly in supply chain management and financial transactions (Santos et al., 2021). Meanwhile, edge computing reduces latency and increases processing power near data sources, supporting applications requiring quick decision-making (Li & Wang, 2020).

Impacts on Organizations

The integration of these emerging technologies significantly impacts organizational structures, processes, and human resources. Organizations experience increased efficiency, better decision-making capabilities, and enhanced customer engagement (Rahman et al., 2020). Nevertheless, digitalization also introduces complexities such as data privacy concerns, cybersecurity threats, and the need for ongoing technological skill development (Davenport & Ronanki, 2020). These challenges require organizations to reevaluate their IT infrastructure and strategic priorities continually.

Strategies to Reduce Digitalization Burden

To effectively manage the burdens of digital transformation, organizations can adopt several strategies. Investing in employee training and continuous learning programs ensures the workforce is equipped to handle new technologies (Mikalef et al., 2020). Implementing robust cybersecurity measures and data governance frameworks protects sensitive information and maintains trust (Riggins & Wamba, 2015). Additionally, leveraging cloud-based solutions provides scalability and reduces the costs associated with infrastructure upgrades (Marston et al., 2011). Establishing clear digital strategies aligned with organizational goals facilitates smoother integration and minimizes operational disruptions (Brynjolfsson & McAfee, 2014).

Conclusion

Emerging digital technologies continue to reshape organizational landscapes, offering numerous opportunities for innovation and efficiency. However, these advancements also present significant challenges that require strategic planning and investment. By understanding the technologies at play and adopting comprehensive strategies to mitigate associated risks, organizations can harness the benefits of digitalization while minimizing its burdens. Future research should focus on developing frameworks that support seamless technological integration and address ethical considerations inherent in digital transformation.

References

  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
  • Davenport, T. H., & Ronanki, R. (2020). Artificial intelligence for the real world. Harvard Business Review, 98(1), 108-116.
  • Kaur, P., & Aggarwal, A. (2020). Internet of Things (IoT): A survey of enabling technologies, challenges, and future directions. Journal of Information Security and Applications, 54, 102519.
  • Li, Y., & Wang, L. (2020). Edge computing in the Internet of Things: A survey. IEEE Access, 8, 146413-146430.
  • Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2020). Investigating the effects of big data analytics capabilities on firm performance: The mediating role of dynamic capabilities. Information & Management, 57(2), 103177.
  • Riggins, F. J., & Wamba, S. F. (2015). Research directions on the adoption, usage, and impact of the internet of things through the organizational lens. Journal of Organizational Computing and Electronic Commerce, 25(1), 1-16.
  • Rahman, M., Chattopadhyay, S., & Kumar, A. (2020). Digital transformation and organizational performance: An integrated framework. Journal of Business Research, 115, 154-167.
  • Santos, R. A., et al. (2021). Blockchain technology in supply chain management: A review of the literature and future directions. Journal of Business Logistics, 42(3), 251-273.
  • Zheng, Z., et al. (2019). Artificial intelligence in healthcare: Review and future directions. IEEE Transactions on Neural Networks and Learning Systems, 30(11), 3283-3306.

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