Published: Jan. 9, 2025
This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications research directions. It is intended to be useful those in academia industry who are interested gaining an understanding of the key LLM concepts technologies, utilising this knowledge both day tasks more complex scenarios where technology can enhance current practices processes.
Language: Английский
International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21
Published: March 3, 2024
The increased prevalence of human-AI collaboration is reshaping the manufacturing sector, fundamentally changing nature human work and training needs. While high automation improves performance when functioning correctly, it can lead to problematic (e.g., defect detection accuracy, response time) operators are required intervene assume manual control decision-making responsibilities. As AI capability reaches higher levels human–AI becomes ubiquitous, addressing these issues crucial. Proper worker training, focusing on skill-based, cognitive, affective outcomes, nurturing motivation engagement, be a mitigation strategy. However, most research in has prioritized effectiveness technology for rather than how design influences key success longevity. current study explored workers using an system affected their motivation, skill acquisition. Specifically, we manipulated level decision selection used 102 participants quality task. Findings indicated that fully automated negatively impacted perceived autonomy, self-determined behavioral task acquisition during training. Conversely, partially AI-enhanced enabling better adapt failure by developing necessary skills. results suggest involving as aid selector, yields more positive outcomes. This approach ensures aspect not overlooked, maintaining balance between technological advancement development, engagement. These findings applied enhance real-world practices designing programs develop operators' technical, methodological, personal skills, though companies may face challenges allocating substantial resources redevelopment continuously adapting keep pace with evolving technology.
Language: Английский
Citations
5
Journal of Enterprise Information Management, Journal Year: 2024, Volume and Issue: 37(5), P. 1527 - 1550
Published: March 2, 2024
Purpose This study aims to explore the key challenges and drawbacks of smart contracts (SCs) how they impact digital resilience within small medium enterprises (SMEs). Whilst this type technology is seen as a step forward in terms traceability, transparency immutability increase resilience, we argue that it should be approached with trepidation. Design/methodology/approach In developing paper, authors conduct systematic literature search using Scopus database. Through this, identified 931 relevant articles, which 30 were used focus article. Thematic analysis was analytical approach develop themes meaning from data. Findings there an emphasis on importance understanding potential risks associated SC implementation, well identifying appropriate strategies for mitigating any negative impact. our findings, puts three themes, namely legality, security human error, are contract SME resilience. Originality/value propose notion “centralised control decentralised solutions”. comes research highlighting weaknesses SMEs. We need standards, regulations legislation address these issues, advocating, ironically, centralised technology.
Language: Английский
Citations
5
International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 122, P. 103857 - 103857
Published: July 24, 2024
Language: Английский
Citations
5
Journal of Global Information Management, Journal Year: 2025, Volume and Issue: 32(1), P. 1 - 29
Published: Jan. 9, 2025
The accelerated integration of Artificial Intelligence (AI) in comprehensive organizational management has marked a significant milestone enhancing efficiency and productivity across all sectors. However, the effective adoption this emerging technology faces challenges, such as ethical dilemmas, barriers, notable deficit relevant technological skills. This study embarks on detailed analysis crucial determinants influencing AI by companies, UTAUT model with four new variables: Response Costs, Trust AI, Anxiety, Environmental Sustainability. Through surveys directed at over 400 CEOs work reveals that facilitating conditions, performance expectancy, response costs, trust anxiety determine their companies. These findings contribute to identifying which factors, from managerial perspective, should be considered more than sufficient reasons for implemented production processes.
Language: Английский
Citations
0
Published: Jan. 9, 2025
This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications research directions. It is intended to be useful those in academia industry who are interested gaining an understanding of the key LLM concepts technologies, utilising this knowledge both day tasks more complex scenarios where technology can enhance current practices processes.
Language: Английский
Citations
0