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

A special issue of Administrative Sciences (ISSN 2076-3387). This special issue belongs to the section "Organizational Behavior".

Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 36819

Special Issue Editor


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Guest Editor
Department of Management Information Systems, Dong-A University, Busan 49236, 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 (7 papers)

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Research

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29 pages, 4803 KB  
Article
Beyond Post-Fordism: Organizational Models, Digital Transformation, and the Future of Work
by Nelson Lay-Raby, Juan Felipe Espinosa-Cristia and Nicolás Contreras-Barraza
Adm. Sci. 2026, 16(1), 13; https://doi.org/10.3390/admsci16010013 - 28 Dec 2025
Viewed by 1515
Abstract
This study examines how organizational models are evolving beyond post-Fordism in the context of digitalization, platformization, and new forms of labor governance. Using a bibliometric analysis of 1573 Web of Science publications, the article maps the intellectual genealogy, disciplinary foundations, and global collaborative [...] Read more.
This study examines how organizational models are evolving beyond post-Fordism in the context of digitalization, platformization, and new forms of labor governance. Using a bibliometric analysis of 1573 Web of Science publications, the article maps the intellectual genealogy, disciplinary foundations, and global collaborative patterns of research on the platform economy. The field has consolidated around three core concepts—platform economy, gig economy, and sharing economy—anchored in clusters focused on business models, labor precarity, and regulatory and governance debates. The analysis reveals a temporal shift from early narratives centered on sharing and collaborative consumption to contemporary concerns with algorithmic management, precarious work, and worker resistance. Parallel discussions of Industry 4.0 and 5.0 expose tensions between human-centered aspirations and the continued expansion of platform capitalism. The global landscape shows both vitality and asymmetry: China leads in empirical output, while the USA and England dominate theoretical agenda-setting and international collaboration. Overall, the findings demonstrate that platform research constitutes a mature, interdisciplinary field bridging labor sociology and management studies. The study calls for stronger integration of Global South perspectives and further examination of whether human-centered organizational visions can meaningfully counteract the structural inequalities embedded in platform-mediated work. Full article
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25 pages, 2563 KB  
Article
Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry
by Juan Camilo Ospina-Agudelo, Carlos Hernán Suárez-Rodríguez, Esteban Largo-Avila, Alba Mery Garzón-García and Laura Suárez-Naranjo
Adm. Sci. 2026, 16(1), 9; https://doi.org/10.3390/admsci16010009 - 25 Dec 2025
Viewed by 1983
Abstract
Amid rapid digital transformation and shifting consumption models, the tailoring industry faces a dual challenge: preserving its artisanal essence while adapting to the expectations of an increasingly digital-oriented clientele. This study introduces a methodological framework for designing buyer personas suited to the contemporary [...] Read more.
Amid rapid digital transformation and shifting consumption models, the tailoring industry faces a dual challenge: preserving its artisanal essence while adapting to the expectations of an increasingly digital-oriented clientele. This study introduces a methodological framework for designing buyer personas suited to the contemporary artisanal tailoring ecosystem, offering a structured approach to understanding modern consumer behavior within hybrid physical–digital environments. Using a mixed-methods design and Sastrería Jorge Ospina (Caicedonia, Colombia) as a case study, 378 online surveys—117 from current clients and 261 from potential clients—were analyzed using descriptive and inferential statistical techniques (Pearson’s χ2, p < 0.05). Managerial priorities were concurrently assessed using a multi-criteria decision-making model (TOPSIS) with entropy-based weighting. The analysis identified two consumer archetypes: (1) the Classic Segment—mature clients motivated by tradition, loyalty, and reliability, who value tangible elegance and experiential craftsmanship; and (2) the Digital Segment—young consumers driven by aesthetic trends, convenience, and immediacy, who prioritize online interaction and personalized digital consumption. TOPSIS results highlighted older men (Cᵢ = 1.000) and young women (Cᵢ = 0.870) as the most strategically valuable customer groups. These findings redefine the post-digital tailoring consumer as a hybrid entity guided by artisanal value, hyper-personalization, and digital engagement. Full article
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22 pages, 1263 KB  
Article
A Cross-Disciplinary Academic Evaluation of Generative AI Models in HR, Accounting, and Economics: ChatGPT-5 vs. DeepSeek
by Najib Bou Zakhem, Malak Bou Diab and Suha Tahan
Adm. Sci. 2025, 15(11), 412; https://doi.org/10.3390/admsci15110412 - 24 Oct 2025
Cited by 2 | Viewed by 4035
Abstract
As generative AI is being further integrated into academic and professional contexts, there is a demonstrable need to determine the performance of generative AI within specific, applied domains. This research compares the performances of ChatGPT-5 and DeepSeek on tasks in the domains of [...] Read more.
As generative AI is being further integrated into academic and professional contexts, there is a demonstrable need to determine the performance of generative AI within specific, applied domains. This research compares the performances of ChatGPT-5 and DeepSeek on tasks in the domains of accounting, economics, and human resources. The models were provided two prompts per domain, and outputs were evaluated by academics across five criteria: accuracy, clarity, conciseness, systematic reasoning, and indicators of potential bias. The inter-rater reliability was reported using Cohen’s Kappa. From the findings, both models display differences in performance. ChatGPT-5 outperformed DeepSeek in accounting and human resources, while DeepSeek outperformed ChatGPT-5 on epistemic economics tasks. Since results have shown that ChatGPT-5 outperformed DeepSeek in two out of three domains, the research recommends a reliability-based framework to compare generative AI outputs within business disciplines and offers practical suggestions on when and how to use the models within academic and professional contexts. Full article
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25 pages, 876 KB  
Article
Redefining the Digital Frontier: Digital Leadership, AI, and Innovation Driving Next-Generation Tourism and Hospitality
by Abdullah Hamoud Ali Seraj, Ahmed Mohamed Hasanein, Bassam Samir Al-Romeedy and Mohammed N. Elziny
Adm. Sci. 2025, 15(9), 369; https://doi.org/10.3390/admsci15090369 - 18 Sep 2025
Cited by 9 | Viewed by 7503
Abstract
Despite the recognized importance of digital transformation, there remains a research gap regarding the specific mechanisms through which digital leadership enables organizations to translate digital strategies into sustainable outcomes. This study addresses this gap by examining the role of digital leadership (DL) as [...] Read more.
Despite the recognized importance of digital transformation, there remains a research gap regarding the specific mechanisms through which digital leadership enables organizations to translate digital strategies into sustainable outcomes. This study addresses this gap by examining the role of digital leadership (DL) as a critical driver of digital transformation (DT), while highlighting the mediating effects of artificial intelligence (AI) and digital innovation (DI). Drawing on the Dynamic Capabilities Theory, we conceptualize DL as a sensing and seizing capability that mobilizes organizational resources to foster AI adoption and support DI, thereby achieving transformational resilience. Using a convenience sample of 346 employees from five-star hotels and class-A travel agencies in Greater Cairo, Egypt, data were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that DL has a strong direct impact on DT and, more importantly, an indirect effect through enhancing AI productivity and enabling DI. This dual pathway advances theoretical understanding of how digital leadership shapes transformation processes and offers practical evidence for tourism and hospitality firms seeking to sustain competitiveness in dynamic market environments. Full article
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22 pages, 1306 KB  
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
Cited by 6 | Viewed by 9590
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 KB  
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
Cited by 3 | Viewed by 9292
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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28 pages, 508 KB  
Systematic Review
Artificial Intelligence for Business Decision-Making in Latin America: A Systematic Review of Evidence, Contributing Countries, and Key Insights
by Luz Maribel Vásquez-Vásquez, Elena Jesús Alvarado-Cáceres and Víctor Hugo Fernández-Bedoya
Adm. Sci. 2026, 16(3), 121; https://doi.org/10.3390/admsci16030121 - 28 Feb 2026
Cited by 1 | Viewed by 1682
Abstract
In recent years, Latin America has experienced a growing incorporation of Artificial Intelligence (AI) into business and organizational environments, driven by digital transformation, data availability, and competitive pressures. Across multiple sectors, AI-based tools are increasingly used to support complex decision-making processes, raising both [...] Read more.
In recent years, Latin America has experienced a growing incorporation of Artificial Intelligence (AI) into business and organizational environments, driven by digital transformation, data availability, and competitive pressures. Across multiple sectors, AI-based tools are increasingly used to support complex decision-making processes, raising both opportunities and challenges related to efficiency, ethics, and organizational readiness. Within this context, this systematic review examines the scientific evidence on the implementation of AI in business decision-making in Latin America. Following PRISMA 2020 guidelines, a systematic search was conducted in the Scopus database for articles published between 2021 and 2025. The search strategy combined Boolean operators related to AI and decision-making. Inclusion criteria comprised original, open-access research articles conducted in Latin American countries and published in Spanish or Portuguese. After screening for temporality, geographic focus, language, document type, accessibility, duplication, and relevance, 27 studies were selected from an initial pool of 276,302 records. The studies originated mainly from Peru, Colombia, Chile, and Ecuador. The findings show that AI is applied across sectors such as industry, agriculture, finance, education, and public services, primarily to enhance predictive capacity, automate processes, and support data-driven decisions. While AI adoption improves efficiency, cost reduction, and strategic innovation, its effectiveness depends on staff training, ethical governance, and strategic alignment. Persistent challenges include resistance to change, data quality limitations, and concerns regarding transparency and algorithmic bias. Overall, AI emerges as a transformative but context-dependent tool for business decision-making in Latin America. Full article
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