Formation of the Creative-Innovative Potential of the Individual in the Context of Digitalization - The Creative-Innovative Potential of the Digital Individual as a Factor in the Development of a Digitalized Society

Philosophy of Digital Man and Digital Society - 2024



Formation of the Creative-Innovative Potential of the Individual in the Context of Digitalization

The Creative-Innovative Potential of the Digital Individual as a Factor in the Development of a Digitalized Society

The formation of the creative-innovative potential of the individual in the context of digitalization encompasses a synthesis of knowledge, information, technologies, personal experience, and material resources necessary for developing solutions to organizational problems—economic, infrastructural, social, existential, and productive—aimed at fostering economic growth, increasing income, and addressing issues of social justice, all through the application of mechanisms, technologies, and methodologies of digital management.

These components create the conditions for the introduction of new products and the enhancement of operational efficiency, providing greater opportunities for technological development and the expansion of resource capabilities; they elevate production efficiency and well-being for a larger number of employees within innovative enterprises or organizations, thereby necessitating substantial transformations in production to uplift economic development and bolster the competitiveness of enterprises.

The creative-innovative potential of the individual involves the cultivation of algorithmic thinking and culture as trends within the innovative-information society, influencing the development of personal creative potential alongside the growth of algorithmic thought and culture as facets of digitalization. The digital revolution catalyzes the evolution of the digital economy and digital management, predicated on paradigm shifts in economy, business, society, consciousness, and human worldview. It is evident that digitalization entails value transformations across various systems on both global and national levels, as well as diverse transformations within companies, industries, and society at large, laying the groundwork for the exploration of new informational attributes and the battle against cybercrime as a novel phenomenon of the information-communication society.

Algorithmic thinking and culture must be cultivated, as they embody a compendium of ideas, principles, and concepts addressing fundamental issues within the digital realm, particularly in relation to resolving everyday challenges, forming the foundation for many established algorithms for data extraction; these represent overarching principles of analytical and systemic thought employing data (Big Data), which necessitate knowledge in cognitive, computational, and behavioral sciences, bridging human cognition and computation to achieve predictable outcomes and discover algorithms for solving human problems.

The formation of the creative-innovative potential of the individual as a constituent of contemporary management indicates that this potential fosters the establishment of mechanisms for cultural and educational policy in the innovative-information society. Culture, education, and science—recognized as vital mechanisms for the development of both the individual and society at large—aim to unfold various forms of physical, cultural, and intellectual potential within the dynamic world.

The philosophical contemplation of new forms of interaction among humans, culture, and education within the digital society posits that the primary link in the innovative-information society is the individual, emphasizing the individual's role and the development of their cultural heritage. In the broadest sense, the interaction among humans, culture, and education is a process of mutual transformation, resulting in a world that acquires a human dimension (a world for humans, a world with humans), where the individual becomes an inseparable part of existence (the individual in the world, the individual with the world), necessitating the formation of the creative-innovative potential of the individual in the context of theories of complexity and innovation.

The creative-innovative potential of an organization includes the knowledge, information, technologies, personal experience, and material resources needed to devise solutions for organizational problems—economic, infrastructural, social, existential, and productive—directed at economic growth. To achieve this, it is essential to equip oneself with superior technologies and organizational capabilities, which serve as the principal source of the latest technological transformations that can foster societal economic growth. For many enterprises, the competitive advantages stemming from the creative and innovative potential of individuals are propelled by five key drivers:

  1. Teams require knowledge for successful operation.
  2. Original and beneficial outcomes cannot be achieved without creativity.
  3. Employees attain remarkable results through motivation.
  4. Diversity enhances the resilience and adaptability of the enterprise.
  5. Leaders must possess fundamental qualities that enable productivity.

Economists liken innovations to steam power and electricity, viewing them as general-purpose technologies (GPT). In recent years, numerous enterprises have adopted NASA’s strategy of utilizing technology to discover innovative ideas and implement the creative potential of individuals, representing intellectual resources as a catalyst for societal modernization amid the Fourth Industrial Revolution. Such approaches have enabled humanity to set foot on the Moon, allowing spacecraft to traverse millions of kilometers through open space. These strategies can be applied across various professions and life spheres to achieve outcomes. Today, a number of institutions are integrating thinking methods characteristic of astronautics into their business models, facilitating the identification of disinformation and pseudoscience, fostering creativity, and promoting critical thinking.

It is worth noting that the pathways for optimizing contemporary Ukrainian society towards sustainable development within digital civilization include the enhancement of the current informational-investment framework, which serves as a technological breakthrough for the country and the construction of the state, accelerating economic development and national growth. To achieve this, appropriate investments in science, culture, and education are essential. There is a pressing need to overcome infrastructural gaps to realize growth, which necessitates simultaneous enhancement of scientific, educational, human, and infrastructural potential based on the art of systemic thinking as the foundation of public management and administration.

To cultivate the creative-innovative potential of the individual within the context of digitalization, algorithmic thinking and culture must be developed as trends of digitalization and their influence on the growth of individual creative potential. In this regard, the principal concepts of the research play a significant role, including informational dimensions, algorithmic thinking and culture, digitalization, and informatization. Thus, we aim to trace the impact of the Fourth Industrial Revolution on the evolution of algorithmic thinking and culture, reveal manifestations of the practical application of algorithmic thinking and culture, and illuminate the contradictions associated with the use of digital technologies.

The peculiarities of shaping algorithmic thinking and culture as concepts of effective management lie in the development and refinement of specific ideas, skills, and abilities related to algorithm technologies, computer literacy, and the possibilities of automation, robotics, and digitalization, manifested in various forms of human activity, production, and algorithmic processes that have transformed individuals' perceptions of the world and themselves.

The features of algorithmic thinking and culture manifest precisely in that they are the result of the Fourth Industrial Revolution, which cultivates a corresponding attitude toward technology, emerging as a consequence of the dissemination of algorithms. They reveal themselves through the operation of computer technology, robotics, automation, and telecommunications, and are expressed as practical applications of artificial intelligence, deep learning, and neural networks in the era of globalization and the Fourth Industrial Revolution.

The formation of algorithmic thinking and culture may also have negative repercussions, tied to the threat of transforming the human being into an extension of the machine, leading to a profound alienation from one's own essence—a phenomenon that poses a serious risk of proliferation. Digitization contributes to an active shift in the paradigms of labor and communication at the social level, as well as how we position ourselves, extract information, and engage in discourse; it also impacts how government, public institutions, and the entire system of education, healthcare, and transportation are structured at the state level.

The development of algorithmic thinking and culture as a trend of digitization exerts a potentially positive influence of computer algorithms on economic growth, propelled by the production of knowledge and innovations, along with the formation of a high-tech sector as a prototype for an innovative society. The values of algorithmic culture within organizations significantly influence employees and the development of technologies aimed at optimizing data processing centers through neural networks.

Companies anticipate that in the near future, algorithmic learning (thinking, culture, operations) will rapidly proliferate, with modern technologies potentially assuming part of the processes related to customer interaction. Algorithmic thinking and culture encompass common principles of analytical thinking utilizing data that will help in identifying this data and applying relevant methods, among which data mining is a prominent approach for extracting necessary information and discovering algorithms for its execution.

The cultivation of the creative-innovative potential of individuals in the context of digitization is linked to the development of algorithmic thinking as a mode of thought centered on a constellation of ideas, principles, and behavioral patterns comprised of numerous interrelated components, stemming from a set of algorithms and their technologies. These explore the functioning of an information-innovative society, the study of which can be examined through algorithms determined by information-computer technologies employed for the digital reproduction of systems and the survival of organizations amid uncertainty and adaptation to change.

Algorithmic culture represents a composite of ideas, principles, and concepts addressing fundamental issues of the digital world, as well as solutions to everyday problems that underpin many well-known data mining algorithms. It embodies the general principles of analytical and systemic thinking using data, which are essential for optimal problem-solving. The study of the inner workings of computers can guide us on how to think, what decisions to make, what to believe, and how to behave, necessitating an understanding of cognitive, computer, and behavioral sciences that intersect human cognition and computation to yield predictable outcomes and discover algorithms for addressing the challenges posed by global urbanization.

Algorithmic thinking and culture (here, thinking and culture are synonymous, as they are connected to the work with algorithms) constitute a set of concepts, principles, and general methods, along with symbolic and quantitative attributes. At their foundation lie data-centric paradigms (Big Data), aimed at resolving management problems, searching for data to assess decisions through data science, and evaluating overall strategies and proposals from data science that determine the enhancement of algorithmic thinking and culture—integral components in cultivating the creative-innovative potential of individuals within the digital paradigm of economy and management amid global transformation.

We strive to elucidate the competitive advantages of the creative and innovative potential of individuals as the basis for forming algorithmic thinking and culture in the context of an innovative-information society. We aim to demonstrate that the competitive advantages of the creative-innovative potential of individuals in shaping an informational-digital society are foundational for achieving consistently high results and are prerequisites for the algorithmic thinking and culture previously discussed.

To fulfill this objective, we require the following conceptual interpretations: the creative-innovative potential of individuals, the attributive properties and characteristics of this potential; the innovative development of society, its stages, and components; the drivers of innovation as breakthrough forces for achieving competitive advantages in the creative and innovative potential of individuals; creativity as a critically important component in the process of creating values in algorithmic culture; and the competitive advantages of the creative and innovative potential of individuals.

Innovation, as the key to the survival of enterprises competing in the market, must focus on creativity and advanced human potential. In an era where modern technologies continuously reduce the costs of iterations, enterprises across a wide range of industries are better positioned to compete in the realm of innovation. Innovation occupies a central place in the social sciences, which examine complex systems, necessitating the formation of digital competencies during the teaching of management cycle disciplines.

Research has revealed that the competitive advantages of the creative and innovative potential of individuals, as foundational to the formation of a digital society, pertain to complex adaptive systems that actively seek their position between order and chaos. Innovation and adaptation occur when systems exist "on the edge of chaos." To foster creativity, access to knowledge and information is required, alongside a group of motivated managers endowed with a broad array of knowledge, skills, and practical competencies necessary for generating creative ideas.

The development of the creative-innovative potential of enterprises embodies a certain process of cultural creativity, whose conditions manifest not only in the form of artifacts but also within a broader socio-cultural context linked to the transformations of existence itself, as it acts as a system-forming factor; the foundation of key business products; a driver of scientific, technical, and technological progress; characterized by a high proportion of knowledge-intensive output and rapid implementation; facilitating the structural reconstruction of the economy and the forms of organization and management of science and production (business); and presupposing the creation of new industries while influencing society, the economy, and humanity.

Thus, the creative-innovative potential of individuals, when utilized within organizations, significantly contributes to the progress of innovation as a variant of social change that can enhance competitiveness. At the heart of the creative-innovative potential of individuals lie new meta-ideas that influence innovation, most effectively supported through a network of digital devices, alongside the development of algorithmic thinking and culture.

The innovative and creative potential of the individual is driven by technological advancement, which facilitates the creation of new software products and the formation of new business values. This, in turn, engenders algorithmic thinking and an algorithmic culture as a system that consumes and transforms information, generating innovations. At the core of the competitive advantages associated with the creative and innovative potential of the individual lies the transition from creativity to innovative production and its integration into mass production. This involves the amalgamation of cycles of research and development with production, the exploration of new types of products, the implementation of new technologies, and the increase in production volumes fueled by algorithmic thinking and culture.