Data and information management最新文献

Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field. The study analyzes a corpus of 1319 records from Scopus spanning from 1985 to 2023 and comprises journal articles, books, book chapters, conference papers, and selected working papers.

The analysis revealed seven distinct clusters of topics in GAI research: image processing and content analysis, content generation, emerging use cases, engineering, cognitive inference and planning, data privacy and security, and Generative Pre-Trained Transformer (GPT) academic applications. The paper discusses the findings of the analysis and identifies some of the key challenges and opportunities in GAI research.

The paper concludes by calling for further research in GAI, particularly in the areas of explainability, robustness, cross-modal and multi-modal generation, and interactive co-creation. The paper also highlights the importance of addressing the challenges of data privacy and security in GAI and responsible use of GAI.

As digital transformation continues to advance, organisations are becoming increasingly aware of the benefits that modern technologies offer. However, with greater technology adoption comes a higher risk of cyber security threats and attacks. Therefore, there is a need for more advanced measures to protect against constantly evolving threats. One potential solution is the use of Artificial Intelligence (AI). The aim of this research paper was to conduct a systematic literature review (SLR) to assess the impact of AI-based technologies on organisational cyber security and determine their effectiveness compared to traditional cyber security approaches. The PRISMA flow diagram was used to guide the review process. Peer-reviewed articles from 2018 to 2023 were included from EBSCO Host, Google Scholar, Science Direct, ProQuest & SCOPUS and 73 remaining articles were synthesised.

The results revealed that AI can impact cybersecurity throughout it's entire life cycle, yielding benefits like automation, threat intelligence, and improved cyber defense. Nevertheless, it also brings challenges like adversarial attacks and the need for high-quality data, which could lead to the inefficiency of AI. These results affirm the positive influence of AI on cybersecurity, enhancing effectiveness and resilience. These findings provide a solid foundation for further research in the field of organisational cybersecurity. These results can help organisations make informed decisions on AI implementations by offering an impartial view of its impacts.

To enhance customer satisfaction and transform negative perceptions of online apparel shopping, fashion brands are increasingly adopting virtual fitting rooms. Despite clothing being the most frequently purchased item online, customers often struggle to find garments that fit their size and skin tone. Consequently, the clothing industry experiences a higher return rate compared to other e-commerce sectors. To address this issue, fashion brands prioritize the implementation of try-on technology, aiming to improve product visibility and provide sensory input. However, existing studies have yielded conflicting findings. This research aims to resolve this issue by organizing and categorizing the relevant literature. To collect related publications, scholarly databases such as Scopus, Emerald, Springer, Wiley, Science Direct, ProQuest, and IEEE Xplore were extensively searched. The investigation employed a systematic literature review strategy, with the search conducted from January 2005 to February 2023. Ultimately, eighty publications meeting the selection criteria were chosen for further review. The study classifies the literature into subfields based on publication year and region, thoroughly exploring various aspects of TOT, including theories, influencing factors, moderating, or mediating variables, outcomes, and notable findings. Based on the evaluation results, a conceptual model and research gap for TOT is proposed to guide future research in this domain, providing valuable insights for both the management and academic research communities.

Digital transformation has recently introduced itself as a groundbreaking phenomenon with profound impacts on societies, industries, businesses, and even individuals. Accordingly, several studies have attempted to give a literature review or analysis of digital transformation research during the last few years. However, most of them are domain-specific studies based on small data samples or subjective review methods, so we lack a general and robust understanding of the landscape of this field of research across different disciplines and domains. Taking a step toward filling this gap, the current study aims to shape an overall and reliable picture of the research realm on digital transformation. To the aim, a computational method namely topic modeling was applied to two big texts, one of which includes all digital transformation-related publications that were indexed in well-known Scopus and Web of Science databases (8639 documents), and the other one only contains studies that were published by high-quality JCR journals (1264 documents). As a result, 20 and 13 topics were respectively introduced as the underlying themes of the global trends and core knowledge in digital transformation research along with their temporal evolutionary paths throughout the recent years. Also, by comparing these two groups of topics, it was known that there are nine developing trends in this field of research that require more attention and advancements to establish themselves as the core knowledge of the field. Complementing the contributions of previous domain-specific or subjective reviews on digital transformation, this study tries to favor a better understanding of this scholarship through multidisciplinary and multidimensional analyses of digital transformation-related publications by using the topic modeling approach.

Virtual reality (VR) has been increasingly introduced to digital museums to enable more immersive experiences. However, there is a lack of comprehensive evaluation for user experience in VR-based digital museums. A comprehensive framework for evaluating user experience of VR interfaces in digital museums was created. Based on this framework, the study conducted an experiment to investigate learning effectiveness in VR-based digital museums and compared user experience on desktop and mobile devices. A total of 45 participants were recruited. They were asked to visit a digital museum on either a desktop or a mobile device. After they completed their visit, they took a recognition test and a recall test to measure their effectiveness of learning. Their user experience was evaluated using a new scale, followed by an open-ended interview to collect their opinions and feedback. It was found that introducing VR to the digital museum helped increase users’ effectiveness of learning. Significant differences existed between the desktop and mobile VR interfaces in user experience. It means that previous research findings cannot be directly applied to the user experience of digital museums on mobile. These empirical evidences also suggest that the established framework is effective for evaluating the user experience in VR-based digital museums.

The success of rolling out online courses depends on users adopting this technology and understanding the fundamental difficulties confronting the existing online education delivery system. This research delves into the causes and effects of how well students adjust to using an online learning environment. The study also investigates whether gender categories of respondents moderates the relationship between adaption of online classes and perceived learning outcome. Using Smart PLS and SEM the results of a survey taken of 531 Indian students show that students' adaptability to online classrooms has a major impact on the knowledge they gain from these courses, with a slight moderating effect of respondents' gender on the knowledge they gain. The majority of respondents have a positive outlook on taking classes online. However, they also recognize that the digital divide is a significant barrier to their education. The findings are expected to be helpful in increasing awareness and facilitating quicker, more informed decision making by those responsible for shaping educational policy, curriculum, and technology.