The Era of Technology: Impacts and Implications of Digital and Artificial Intelligence Transformation on Organizations

A special issue of Administrative Sciences (ISSN 2076-3387).

Deadline for manuscript submissions: 30 November 2025 | Viewed by 1324

Special Issue Editor


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Guest Editor
AI Strategic Management, aSSIST University, Seoul 03767, Republic of Korea
Interests: artificial intelligence; data analytics; organizational behavior; information systems; technology adoption

Special Issue Information

Dear Colleagues,

In an era defined by rapid advancements in digital technology and artificial intelligence, organizations worldwide are facing unprecedented opportunities and challenges. The impact of digital and AI transformation on organizational structures, strategies, and operations calls for fresh perspectives and innovative research. This transformation not only reshapes how firms operate and compete but also influences workforce dynamics, decision-making processes, and corporate culture.

As digital and AI technologies continue to evolve, it becomes increasingly important for organizations to understand how to effectively adapt, innovate, and thrive in this new landscape. Furthermore, policymakers and regulators must consider these emerging trends to create supportive frameworks and guidelines that can help organizations harness the benefits of AI and digital transformation while addressing ethical, social, and regulatory concerns.

This Special Issue seeks to extend the boundaries of current knowledge by examining the transformative role of digital technology and artificial intelligence in shaping diverse organizational outcomes. As digital and AI technologies continue to evolve at an unprecedented pace, they are driving a fundamental shift in how organizations operate, strategize, and compete on a global scale. We invite research that delves deeply into the complex impacts and far-reaching implications of these advancements, as well as the adaptive strategies organizations are employing to integrate and leverage these innovations effectively.

We are particularly interested in studies that investigate how AI and digital technologies influence various facets of organizational performance, such as operational efficiency, customer engagement, and market responsiveness. This includes understanding the ways in which technology-driven decision-making processes are reshaping traditional management practices, enhancing predictive capabilities, and enabling data-driven strategies across departments. Furthermore, we encourage research that explores how digital transformation is altering governance structures, prompting organizations to re-evaluate and adapt their frameworks to ensure responsible, ethical, and transparent decision-making in an AI-driven environment.

Another key area of focus for this Special Issue is workforce management in the context of digital and AI transformation. The integration of advanced technologies is not only changing the skill requirements for employees but also redefining organizational roles, team dynamics, and performance expectations. Research on how organizations can foster a culture of innovation, resilience, and continuous learning among their workforce in response to these shifts is especially welcome. Additionally, studies examining the implications for workforce well-being, job satisfaction, and the evolving employee–employer relationship are of great interest.

In sum, this Special Issue aims to provide a comprehensive view of how digital and AI technologies are reshaping organizations across multiple dimensions. We invite researchers to contribute to this important discourse by exploring the multifaceted challenges, opportunities, and strategic responses that organizations are navigating in today’s digitally and technologically advanced business landscape. Through this collection, we hope to offer valuable insights for scholars, practitioners, and policymakers as they seek to understand and harness the transformative potential of AI and digital technologies in organizations.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

- The organizational impact of digital transformation (DX);

- The organizational impact of artificial intelligence transformation (AX);

- Governance, ethics, and compliance in the era of digital and AI transformation;

- Workforce transformation in the age of DX and AX;

- Strategic adaptation and innovation through digital and AI technologies;

- Performance metrics and value creation in digitally and AI-transformed organizations;

- Consumer and stakeholder reactions to organizational DX and AX initiatives.

We look forward to receiving your contributions.

Dr. Cheong Kim
Guest Editor

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Keywords

  • digital transformation (DX)
  • artificial intelligence transformation (AX)
  • organizational innovation
  • ethical AI and governance
  • workforce automation
  • data-driven decision-making
  • technology adoption and adaptation
  • strategic resilience
  • performance metrics in the digital era
  • organizational behavior in digital ecosystems

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Published Papers (2 papers)

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Research

22 pages, 1306 KiB  
Article
Drivers of VR Adoption by Generation Z: Education, Entertainment, and Perceived Marketing Impact
by Camelia Surugiu, Cătălin Grădinaru and Marius-Răzvan Surugiu
Adm. Sci. 2025, 15(2), 41; https://doi.org/10.3390/admsci15020041 - 2 Feb 2025
Viewed by 305
Abstract
Virtual reality (VR) can influence people’s lives and business development. It can bring immersive experiences for people and can strengthen the relationships between customers and companies. In this paper, Generation Z (Gen Z) members’ interest in VR is analyzed in various domains, like [...] Read more.
Virtual reality (VR) can influence people’s lives and business development. It can bring immersive experiences for people and can strengthen the relationships between customers and companies. In this paper, Generation Z (Gen Z) members’ interest in VR is analyzed in various domains, like education, entertainment, and marketing. This study considers the Technology Acceptance Model (TAM) theoretical framework and explores the factors influencing Gen Z’s perceptions of VR potential. The approach is based on hypotheses and a survey-based investigation, followed by logistic regression modeling. The results show that VR attracts Gen Z members to educational and entertainment activities. Also, they believe that VR is important for marketing activities. The results show the importance of investments in VR, in all three domains, and the importance of adapting strategies to leverage VR’s potential effectively. Full article
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25 pages, 528 KiB  
Article
Trends in InsurTech Development in Korea: A News Media Analysis of Key Technologies, Players, and Solutions
by Yongsu Lee and Hyosook Yim
Adm. Sci. 2025, 15(1), 25; https://doi.org/10.3390/admsci15010025 - 14 Jan 2025
Viewed by 804
Abstract
This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text-mining technique, we extracted [...] Read more.
This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text-mining technique, we extracted the top keywords associated with InsurTech by year. The extracted keywords were analyzed and discussed in terms of development trends: which technologies gained prominence over time, who the key players were, and what solutions were introduced. The analysis revealed several key trends in InsurTech’s development in Korea. First, regarding changes in InsurTech technology, blockchain and the Internet of Things initially garnered significant attention, but artificial intelligence and big data later emerged as more critical technologies. Second, in terms of market players, government agencies and research institutes initially created forums for discussion, such as seminars to draw social attention to InsurTech. Over time, innovative startups entered the market, general agencies specializing in insurance brokerage gained prominence in the online marketplace, and the entry of Big Tech platforms further diversified the market. Finally, in terms of InsurTech-related insurance solutions, early attention was focused on developing new products. However, the trend gradually shifted toward improving the accessibility and convenience of existing insurance services. Additionally, asset management and payment settlement services—linked to financial services beyond traditional insurance—emerged, along with new concepts such as healthcare, which reshaped the approach to insurance services. This study contributes to understanding how InsurTech has evolved by identifying key trends in emerging technologies, leading market players, and innovations in the insurance value chain. The Korean case provides insights that may help explore similar patterns in other countries. Full article
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