Technology, Digital Transformation and Society

A special issue of Social Sciences (ISSN 2076-0760).

Deadline for manuscript submissions: 28 February 2025 | Viewed by 3163

Special Issue Editor


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Guest Editor
Department of Business and Communication, IST University of Applied Sciences, 40233 Düsseldorf, Germany
Interests: technology acceptance; human-computer interaction; digital transformation

Special Issue Information

Dear Colleagues,

In today’s world, where digital technologies are integral to every aspect of our existence, the interplay of technology, digital transformation, and societal dynamics is critically important. This Special Issue titled “Technology, Digital Transformation and Society” aims to scrutinize the complex effects of digital evolution on societal frameworks, individual actions, and the worldwide community. Notably, the integration of artificial intelligence (AI) into the societal matrix offers both groundbreaking prospects and novel challenges. This Special Issue is dedicated to examining the significant influence of digital technologies, including AI, on societal organization, ethical frameworks, individual conduct, and the collective human experience. As AI progresses, it is reshaping what we consider possible, enhancing decision-making, transforming industries, and even shifting the ways we interact and perceive cultural norms.

This Special Issue serves as a forum for multidisciplinary discussions on both the hurdles and prospects that digital transformation, particularly the surge in AI technologies, presents. We seek scholarly contributions that investigate how technological innovations like AI impact social fairness, privacy, ethics, and cultural dynamics. Furthermore, this Special Issue will explore how digital technologies can promote inclusion, sustainability, and adaptability in societies undergoing swift transformations and facing new uncertainties.

Through a mix of empirical studies, theoretical exploration, and case studies, this Special Issue will spotlight groundbreaking practices, implications for policy, and future trends at the intersection of technology, digital change, and societal dynamics. Submissions are welcomed from a diverse range of fields, such as sociology, information technology, political science, education, and cultural studies. Our goal is to foster a holistic understanding of this intricate and evolving domain, encouraging contributions that dissect and envision the role of technology in shaping society.

Prof. Dr. Ina Kayser
Guest Editor

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Keywords

  • digital transformation
  • societal impact
  • artificial intelligence
  • social equity
  • privacy and ethics
  • cultural dynamics
  • inclusivity in digital age
  • sustainability and technology
  • policy implications
  • future directions

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Published Papers (1 paper)

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Research

18 pages, 494 KiB  
Article
Impact of Motivation Factors for Using Generative AI Services on Continuous Use Intention: Mediating Trust and Acceptance Attitude
by Sangbum Kang, Yongjoo Choi and Boyoung Kim
Soc. Sci. 2024, 13(9), 475; https://doi.org/10.3390/socsci13090475 - 9 Sep 2024
Viewed by 2546
Abstract
This study aims to empirically analyze the relationship between the motivational factors of generative AI users and the intention to continue using the service. Accordingly, the motives of users who use generative AI services are defined as individual, social, and technical motivation factors. [...] Read more.
This study aims to empirically analyze the relationship between the motivational factors of generative AI users and the intention to continue using the service. Accordingly, the motives of users who use generative AI services are defined as individual, social, and technical motivation factors. This research verified the effect of these factors on intention to continue using the services and tested the meditating effect of trust and acceptance attitude. We tested this through verifying trust and acceptance attitudes. An online survey was conducted on language-based generative AI service users such as OpenAI’s ChatGPT, Google Bard, Microsoft Bing, and Meta-Lama, and a structural equation analysis was conducted through a total of 356 surveys. As a result of the analysis, individual, social, and technical motivational factors all had a positive (+) effect on trust and acceptance attitude on the attitude toward accepting generative AI services. Among them, individual motivation such as self-efficacy, innovation orientation, and playful desire were found to have the greatest influence on the formation of the acceptance attitude. In addition, social factors were identified as the factors that have the greatest influence on trust in the use of generative AI services. When it comes to using generative AI, it was confirmed that social reputation or awareness directly affects the trust in usability. Full article
(This article belongs to the Special Issue Technology, Digital Transformation and Society)
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