The complexity of Information Systems Research in the Digital World

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Running Head: Complexity of Information Systems Research

Complexity of Information Systems Research

The complexity of Information Systems Research in the Digital World

Research Paper

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TS-630-B08

Organ Leader & Decision Making

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Introduction

Global Digital Infrastructure, commonly known as cloud computing, is a present-day solution utilized by organizations (McKelvey, B. et al., 2016). Before a business would interact in a cloud computing service, it must be strategically deliberate with the top management level.

The emerging technologies mentioned in the article are:

Social Media – Social media tools and other modern telecommunications platforms are strategic tools used to compete globally. This empowers the organization to be closer to its stakeholders and to adapt to the norm of today’s businesses. It enables them to create user-centric solutions based on the interactions and feedback of stakeholders in social media and other platforms

Internet of Things (IoT) – The Internet of Things (IoT) describes the connection and connectivity between the Internet and regular devices that include computer systems that transmit and acquire records. The Internet of Things (IoT) alludes back to the billions of physical devices around the area connected to the Internet, assembling, and sharing archives. On account of the approach of super-sensibly estimated pc chips and the pervasiveness of wi-fi networks, it is reasonable to show anything, from something as little as a tablet to a goliath plane, into part of the IoT. Associating up a larger part of this stand-out devices and including sensors gives a level of virtual knowledge to gadgets that may be stupid in some other case, permitting them to talk constant records without being identified with an individual. The Internet of Things makes the area’s material around us a more prominent, more brilliant, and more noteworthy obligation, blending the virtual and substantial universes.

Robot process automation (Artificial intelligence and machine learning). Artificial Intelligence – is the application of human knowledge to a machine that is programmed to perform a specific task using crucial human traits such as learning and problem-solving.

Machine learning is an application of artificial intelligence where machines can learn and improve their performance based on patterns and experience without being programmed. Learning begins with observations or facts, which include examples, direct experience, or instruction so that you can search for styles in attributes and make higher choices in condition-based on the criteria we provide (Alpaydin, E., 2020). The number one intends to permit the computer systems to study without human intervention or modify movements accordingly.

Digital Business Platforms – This refers to the platforms used to engage digital business and connect everyone through the Internet. A practical example of these platforms is e-commerce websites that sell their products on a global scale.

Algorithmic decision making (Decision Support Systems) -. Its implementation uses top-level management’s insight as input to a computer-enabled process to help in the decision-making process for non-routine decisions. This data is transformed into valuable information used to generate data-driven decisions based on the company’s data and profile (Clapham, B., Siering, M., & Gomber, P., 2019). A decision support system gathers and analyzes data, synthesizing it to supply complete records reports. In this way, as an informational application, a DSS differs from a regular operations application, whose characteristic is to acquire data. The DSS can both be automatic or powered with the aid of using humans. In a few cases, it can integrate both. The best structures examine records and, in reality, make selections for the user. At the very least, they permit human customers to make extra knowledgeable selections at a faster pace.

The rise of these emerging technologies greatly impacts the overall business processes of a company; as such, it brings total digital transformation in terms of infrastructure from private corporate networks to cloud-based networks, improved marketing strategy by utilizing various social media tools, automation of major processes embedded with AI and machine learning algorithms to make the system autonomous, utilization of Digital platforms to improve business sales and revenue and powerful data analytics that is essential in creating data-driven decisions. However, there are significant challenges and complexity associated with the adaptation of this technology. The need to upgrade the current IT infrastructure, integrate all systems to ERP, and the security implementations needed are significant obstacles for businesses since it requires major IT investment, training, and strategic planning.

A perfect technique for decreasing the load and easing those technology’s transition is to behavior a preliminary evaluation of the prevailing IT answers deployed. The growing demanding situations the company faces have to be precious enter for this strategic decision. The advice for the model of that numerous technologies might be entirely primarily based totally on the company’s needs, set of goals and objectives, budgetary capability, and the quantity of data being handled. It is also essential to integrate risk assessment in the conduct of strategic planning for the project implementation. This is the main mistake that top-level management has overlooked during its strategic planning. Risk assessment should be emphasized because it provides an integral part of the project implementation’s success by evaluating and weighing the implementation risks.

References

Alpaydin, E. (2020). Introduction to machine learning. MIT press.

Clapham, B., Siering, M., & Gomber, P. (2019). Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets. Information Systems Frontiers, 1-18.

Hofmann, P., Samp, C., & Urbach, N. (2020). Robotic process automation. Electronic Markets, 30(1), 99-106.

Itälä, T. (2015). Digital Business and Platforms. Transition, 50.

McKelvey, B., Tanriverdi, H., & Yoo, Y. (2016). Complexity and information systems research in the emerging digital world. MIS Quarterly, 1-3.

Also see: ‘Evolution of Information Systems’ post response

Last Updated on December 6, 2020 by Essay Pro