Purpose: This study aims to examine the influence of ChatGPT on third-party logistics (3PL) operators, specifically in the context of enhancing the value of services they presently provide. ...Design/methodology/approach: This research employed a combination of survey analyses and a case study on an international logistics operator. Within this framework, specific services were identified and contrasted between the operator's current performance and a hypothetical scenario involving the implementation of ChatGPT. For the majority of the study, the open-source version of ChatGPT was utilized. However, for forecasting purposes, the proprietary GPT-3.5 version was employed. The intention behind this methodology was to highlight the capabilities of the basic ChatGPT, showcasing its applicability as a widely accessible tool, while recognizing the necessity of GPT-3.5 for more sophisticated numerical data analyses. Findings: The findings revealed that 3PL managers are informed about ChatGPT's capabilities and recognize its potential utility in logistics operations. The case study further underscored ChatGPT's competency in generating actionable insights which can guide managers in enhancing their value-added services. Research limitations: The primary constraint in this study was the limited number of expert participants. This limitation was due to stringent criteria set by the researchers in selecting experts. However, this also represents an avenue for more comprehensive research in the future. Subsequent studies might also explore other chatbot variations and delve deeper into the practical application of ChatGPT in automating interactions between 3PL entities, service beneficiaries, and the end customers of these services. Value of the paper: This manuscript augments the current body of research concerning the application of ChatGPT in the realm of value-added services offered by logistics operators in the context of contract logistics. Moreover, it provides empirical evaluations of several use cases juxtaposed with existing solutions.
We show, based on ratings by finance journal reviewers of generated output, that the recently released AI chatbot ChatGPT can significantly assist with finance research. In principle, these results ...should be generalisable across research domains. There are clear advantages for idea generation and data identification. The technology, however, is weaker on literature synthesis and developing appropriate testing frameworks. Importantly, we further demonstrate that the extent of private data and researcher domain expertise input, are key factors in determining the quality of output. We conclude by considering the implications, particularly the ethical implications, which arise from this new technology.
•We assess the use of chatGPT for the research process.•We find that raw output generates plausible research ideas, literature reviews and test suggestions.•Adding some private data improves measured quality of these.•Adding domain expertise greatly improves quality.
The prospects for the use of artificial intelligence (AI) are one of the most discussed topics in medicine today. The very possibility of having an omniscient virtual assistant at hand soon seems ...incredibly tempting, so it seems quite normally to see numerous reports on the application of each newly emerging advanced neural network technology in various fields of medicine and biotechnology. Of course, the emergence of ChatGPT caused the greatest public outcry in recent times, because the new natural language processing algorithm underlying it has allowed human to bring communication between man and machine to a whole new level. Of course, despite the myriad benefits of using AI, the use of ChatGPT and other AI tools in medicine raises many ethical and legal questions. However, it is worth remembering the history of the emergence of any other breakthrough technology to accept the existing controversy as an integral part of progress. The desire of a person to make his work easier and shift part of the work onto a computer always makes him take a step forward in the development of technologies, which, in the end, do not allow a person to work less, but make him work in a new way.
The introduction of chat generative pretrained transformer (ChatGPT), the fastest growing large language model, has changed the landscape of artificial intelligence-human interaction in everyday ...life. As the social influence of ChatGPT increases, competencies in it become important life skills. This study aims to explore the determinants of ChatGPT user satisfaction to provide practical implications by suggesting a significant independent variable and mediators between the independent variable and user satisfaction. To this end, this study recruited 822 college students with prior experience using ChatGPT (407 males and 415 females) and conducted an online survey. We tested the effects of ChatGPT literacy on user satisfaction and the mediating roles of different motives (i.e., information and knowledge acquisition and entertainment and leisure) in the relationship between ChatGPT literacy and user satisfaction. The results suggest that ChatGPT literacy significantly increases user satisfaction and that information and knowledge acquisition and entertainment and leisure partially mediate the relationship between the effect of ChatGPT literacy and user satisfaction. The results may have implications for large language model developers and practitioners, such as educators.
La Inteligencia Artificial (chatGPT) en el deporte Lázaro Antonio Bueno Pérez; Lázaro Andres Bueno Basulto; Lisandro Herrera Arencibia
Ciencia y deporte (Camagüey, Cuba),
08/2023, Volume:
8, Issue:
3
Journal Article
Peer reviewed
Open access
En los últimos años, la Inteligencia Artificial ha aparecido como un agente de cambio que ha revolucionado varios aspectos en los deportes, desde el análisis del rendimiento del jugador, de un ...equipo, hasta la evaluación estadística de los pronósticos precompetitivos. El presente trabajo consistió en interactuar y analizar en forma de preguntas y respuestas sobre diversos temas del deporte, con respuestas muy interesantes para el futuro del deporte, a pesar de las limitaciones actuales. Si bien la Inteligencia Artificial ya ha explorado Internet y probablemente es un gran recurso para ayudar en las investigaciones deportivas, se debe tener cuidado, pues solo tiene acceso a la información con la que ha sido entrenado e Internet tiene mucha información errónea e inexactitudes.
There is a persistent STEM educational crisis exemplified by low student enrolments, and both high failure and attrition rates. ChatGPT is easy to use, however pedagogical quality is not necessarily ...assured. In one experiment the output had a high cognitive load exacerbated by cognitive gaps making the material hard to teach and learn. ChatGPT is a useful pedagogical technology but not a learning theory. Science, technology and engineering all start by quantitatively modelling systems in order to make accurate and quantitative predictions prior to construction or system modification. By contrast, the current learning theories in use today are based on qualitative soft-science principles, with subjective guidelines that are open to interpretation, which can lead to wide variations in the quality of instructional materials and learning outcomes. Cognitive Load Optimization (CLO) is a new Science of Learning (SoL) theory that quantitatively models relational knowledge as coherent, contiguous, pedagogically scalable schemas optimized for the lowest cognitive load. CLO schemas represent the easiest, fastest and most efficient learning paths and are the fundamental basis of instructional design and teaching. Because CLO schemas are pedagogically scalable it is possible to create CLO schemas that are contiguous across different educational levels (school, college and university) thereby uniquely meeting the goals of the American National Science Foundation SoL (‘optimized learning for all’) and the Australian Grattan Institute (‘optimized learning from pre-school to university’). Using CLO results in significant improvements in STEM learning outcomes but is a detailed methodology that can be time consuming to use. The relative advantages and disadvantages of ChatGPT and CLO are highlighted.
According to The Guardian, “Professors, programmers and journalists could all be out of a job in just a few years” 1. In North America, long before the pandemic, some high schools (both public and ...private) replaced books and notebooks with laptops. In universities, the students preferred listening to the recordings of the lectures taken on their computers or phones instead of actively taking notes during the classes. Technology has been the topic of many debates among teachers, parents, and students. Seen both advantageous and disadvantageous, technology in the classroom has become indispensable to teaching. Technology has proven to have been the only way out of the pandemic crisis regarding business and education. The trend in the education field in a post-pandemic context resulted from a blend between teaching approaches and technology use. However, in a post-pandemic context, this trend has been seen as one of the central factors leading to an increase in the lack of inperson socialization for youths and a principal distraction from their studies. Moreover, the development of more advanced software (A.I. Bot ChatGPT) has started to influence the teaching process regarding assignments. However, the real question is how and to what extent the use of technology can be advantageous for students today.
Abstract
The era of advanced artificial intelligence has arrived with the development of chatbots like ChatGPT (Chat Generative Pre-trained Transformer). As described by Ouyang et al. (2022), ChatGPT ...demonstrates an impressive ability to generate human-like responses and solve practical problems, surpassing original expectations for its capabilities. The rapid release and adoption of ChatGPT signals a new phase in AI development, powered by large language models that can be fine-tuned through human feedback. However, risks remain regarding how such powerful models may be misused. Further research is needed to ensure safe and ethical deployment of these transformative technologies.
