Technological Digital Disruption in the Age of Artificial Intelligence: A New Paradigm for Leadership

Technological Digital Disruption in the Age of Artificial Intelligence: A New Paradigm for Leadership

DOI: 10.4018/978-1-7998-5808-9.ch001
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Thirty years of debating best journalism models has led to a needed academic business integrated conceptual framework to be developed into distinct models. This chapter offers evidence-based data of needed change for journalism education to meet departmental requirements plus support needs in this technological digital artificial intelligence new media age. Learning must reflect new approaches for data receipt. Readers will review education, practitioner, and learner perspectives to study arguments and experiences, plus probe the manner this data describes the formation, and exercise of journalism, expertise, traditions, determinations, happenstances, objectives, agreements, and learning. Through literature review and ethnography, detailed is a forward-looking framework founded on continuous process improvement which should better prepare learners to compete in this technologically digitized society. This research adds to the journalism, strategy, artificial intelligence, and business process improvement bodies of knowledge for academics, practitioners, and learners.
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Methodology And Design

Employing qualitative methodology unveils trends in thoughts and opinions, as well as drive intensely into the concern. Qualitative research is a technique of investigation used conventionally in the social sciences (Burton, 2014). This researcher uses qualitative research because it helps to gain comprehension of underlying reasons, opinions, and motivations. This methodology offers intuitions into the concern (Daniel, 2019). Quantitative is not used because this researcher focused on lived experiences and phenomenology as opposed to quantifiable data. This research unraveled how individuals experience a particular phenomenon, the premise of reality consisting of objects and events (Nigar, 2020). Data was collected and studied using details to construct a data-driven conclusion. Out of qualitative methodology, this researcher will employ two designs, literature review and ethnography.

Key Terms in this Chapter

Ethnography: The examination study of people in their particular environment via the utilization techniques such as member surveillance and face-to-face interviewing.

Continuous Process Improvement: Also known as CPI, this work is a constant endeavor to enhance products, services, or processes.

Qualitative Research: Qualitative research is a scientific technique of observation for collecting data that is non-numerical. This research type denotes characteristics, concepts, definitions, depictions of things, meanings, metaphors, symbols. Counts and measures are not a part of qualitative research.

Automated Journalism: This type of journalism is used to document news articles by computer programs. Other names for automated journalism are algorithmic journalism, and robot journalism.

Digital Disruption: This type of disruption is the change that happens when innovative digital technologies and business models influence the value proposition of subsisting goods and services.

Digitization: The adaptation of text, images, or sound into a digital form that can be computer processed.

Ubiquitous: Anytime and everywhere computing.

Artificial Intelligence: This is a form of technology that has the ability to operate human-like by adapting to changing circumstances.

Communication: A technique to distribute information via verbal, non-verbal, and visual methods. Also, communication is the result of cultural practice.

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