The complexity of Information Systems Research in the Digital World
Complexity is an increasing emerging aspect of the digital world. Some of the emerging technologies developments that exhibit complexity include robotic process automation, algorithm decision-making, Internet of things global digital infrastructure, and other digitally enable networks. These technological phenomenon fuel complexity in the digital world by enhancing hyper connections and mutual dependencies among organizations and processes. However, wicked problems that are caused by digitalization. It worth noting that complexity organizations and individuals in all dimensions. In the digital world, complexity new challenges and opportunities for information system research. This paper seeks to analyze an article focused on the complexity of IS in the digital world. It will define diverse emerging technology as a note in the article. The paper will also determine the impact of the emerging technologies on organizations and the steps that organizations can undertake to reduce the digitalization burden. The article’s name being analyzed is “Complexity and Information Systems Research in the Emerging Digital World.”
Emerging Technologies Noted in the article and how they are impacting organizations
Digital transformation is one of the emerging trends in business organizations. There are notable new technologies explored in the article, which are influencing organizations in diverse ways. One of the emerging exhibited in this article is the existence of microprocessors. Large and small devices are currently sufficiently powered by microprocessors and connected by the internet, almost all organizations. Most of these devices integrated with artificial intelligence (IA) engines, and they can act and operate on their own. IA is an emerging technology that allows for the simulation of intelligence processes of humans. It is a combined attribute of science and computer that allows information systems intelligent and human functions, make decisions, and solve problems. For instance, the article notes that organizations are using autonomous vehicles, which can interact and understand traffic signals amid vehicles driven by human beings. Generally, Artificial Intelligence applications that apply machine learning can take data and convert into actionable. However, the application is complex and expensive because it is expensive to process large amounts of data required by IA programing.
Moreover, social networks enable individuals in organizations to become an internet content creator. Generated content can be mashed with other prevailing content and shared among other users. Other digital platforms like Airbnb and Uber enables millions to connect worldwide. Another emerging technology is cloud computing technology, which entails computing services, such as databases, servers. Software, networking, among others over the internet. This technology has fostered faster innovation and economies of scale through various algorithms. Such examples elaborate some of the critical emerging technologies used by organizations in the current century, provided in the article. These technologies have enhanced social, technical systems that are critically changing the way organizations operate.
However, Change in technology is a dynamic process that causes dynamic complexity. These complexities regarding the emerging technologies impose critical challenges for both small scale and large scale organizations. This is because there is a need for enterprises to adapt to changing technologies while maintaining internal alignment constantly. Therefore organizations can use Enterprise architecture to reduce the burden of digitalization. This method helps cope with challenges associated complexity of technologies. It also enhances the management of information system and ensuring they are in line with business elements found in complex organizations.
In conclusion, digital transformation presents both opportunities and challenges in organizations in various industries. Organizations face diverse challenges in managing the associated complexity. Therefore, Enterprise Architecture is leveraged to align the transformation with business elements and help manage the complexity. It helps organizations transform and manage their architecture.