Search Results (11)

This study investigates the heterogeneous impact of bank automation on institutional performance, emphasizing the role of mechatronic systems like automated teller machines (ATMs) and artificial intelligence-based tools such as chatbots and robo-advisors. Using Method of Moments Quantile Regression (MMQR), the analysis examines how these technologies influence key performance indicators, including return on equity (ROE), in the European Union (EU) banking sector from 2017 to 2022. The MMQR method allows for the differentiation of the effects of automation technologies by distinguishing between hardware-based mechatronic systems and software-driven AI solutions, providing a nuanced perspective on the digital transformation within the banking sector. The results highlight the heterogeneous effects of economic, financial, and institutional factors on banking performance in the EU. They emphasize the need for differentiated policy interventions to reduce performance gaps between EU economies and ensure that banks across all member states can leverage financial and technological advancements to enhance profitability. The findings underline the importance of strategic interventions to address digitalization disparities, promote financial inclusion, and establish a regulatory framework that fosters transparency, cybersecurity, and equitable access to AI-driven financial services. Full article

The South Korean AI market has grown significantly, yet while chatbot adoption is well-studied, sustained use remains underexplored. This study surveyed 250 financial institution chatbot users in South Korea in February 2024, using SPSS and R to investigate quality effects on intention of continuous usage. Results showed that social presence, response accuracy, assurance, and interactivity positively influenced expectation confirmation. In contrast, responsiveness, reliability, and usability had no significant effect, while security negatively impacted frequent users, reflecting trust concerns. These findings guide financial institutions in enhancing chatbot retention through interactivity and trust. Conducted in a pre-generative AI context, this study suggests future longitudinal research to address evolving AI technologies and user behaviors. Full article

Integrated reporting is essential for businesses to communicate long-term value creation. Despite growing interest, little research has examined AI technologies like chatbots in sustainable reporting practices. This study addresses this gap, exploring chatbot adoption within 11,113 Romanian accounting and consultancy firms in Romania’s emerging digital landscape. Researchers used Python’s Seaborn library to analyze financial data from 2018 to 2022, finding that companies with higher revenue and liquidity were more likely to make their mark on how to achieve integrated reporting. Additionally, this study revealed the potential of chatbot technology adoption to enhance financial reporting and management, significantly improving financial reporting efficiency, accuracy, and accessibility. By automating data collection and analysis, generating real-time reports, and improving communication with stakeholders, chatbots can significantly improve efficiency and accuracy in financial processes. By addressing the challenges and capitalizing on the opportunities, firms can use chatbot technology to create more efficient, effective, and sustainable reporting practices. The findings contribute to this field of knowledge on sustainable reporting by examining the potential of technology and artificial intelligence (virtual assistants) to improve stakeholder communication. This study provides a case study from Romania, with implications for other regions. Full article

ChatGPT plays significant roles in the third decade of the 21st Century. Smart cities applications can be integrated with ChatGPT in various fields. This research proposes an approach for developing large language models using generative artificial intelligence models suitable for small- and medium-sized enterprises with limited hardware resources. There are many generative AI systems in operation and in development. However, the technological, human, and financial resources required to develop generative AI systems are impractical for small- and medium-sized enterprises. In this study, we present a proposed approach to reduce training time and computational cost that is designed to automate question–response interactions for specific domains in smart cities. The proposed model utilises the BLOOM approach as its backbone for using generative AI to maximum the effectiveness of small- and medium-sized enterprises. We have conducted a set of experiments on several datasets associated with specific domains to validate the effectiveness of the proposed model. Experiments using datasets for the English and Vietnamese languages have been combined with model training using low-rank adaptation to reduce training time and computational cost. In comparative experimental testing, the proposed model outperformed the ‘Phoenix’ multilingual chatbot model by achieving a 92% performance compared to ‘ChatGPT’ for the English benchmark. Full article

This paper introduces the implementation of a chatbot on the web portal of a higher education institution, aiming to enhance student interaction and provide seamless access to information and support services. With the increasing reliance on digital platforms for student engagement, a chatbot offers a user-friendly and efficient means of communication, catering to the diverse needs of students in a higher education setting. The chatbot developed utilizes natural language processing, machine learning, and artificial intelligence algorithms to engage in dynamic conversations with students. We use Large Language Models (LLMs), because these and vector databases are revolutionizing the way we handle and retrieve complex data structures. Their main objective is to provide instant responses, personalized guidance, and timely support for various aspects of student life within the institution, namely the following: Information Retrieval, where the chatbot acts as a virtual collaborator, offering quick and accurate responses to frequently asked questions regarding admissions, programs, course registration, financial aid, and campus facilities, reducing the need for manual information searches; Academic Support, where the chatbot assists students in academic matters, such as course selection, prerequisites, graduation requirements, and study resources. It can offer personalized recommendations based on a student’s academic profile and preferences; Campus Services, which provides information about campus services, extracurricular activities, events, and resources; and Appointment Scheduling, which facilitates appointment scheduling with academic advisors, and support staff, streamlining administrative processes and ensuring timely access to guidance and assistance. This development follows a user-centric approach, incorporating feedback from students, faculty, and administrators to ensure that the chatbot meets their specific needs and preferences. Rigorous testing and quality assurance measures are implemented to guarantee the accuracy, reliability, and security of the chatbot. In conclusion, we achieve a functional chatbot with a medium computational heaviness; in this way, it can be practical to use it in real time by the students on the institution’s web portal. The introduction of a chatbot on the web portal of a higher education institution represents a significant advancement in facilitating student interaction and support services. By providing instant and personalized responses, the chatbot streamlines communication, reduces response times, and empowers students to find information and resources efficiently. As chatbot technology continues to evolve, ongoing enhancements and refinements will ensure that it remains a valuable tool for enhancing student experiences, promoting engagement, and fostering a positive learning environment within the institution. Full article

Positive energy districts (PEDs) are urban areas which seek to take an integral approach to climate neutrality by including technological, spatial, regulatory, financial, legal, social, and economic perspectives. It is still a new concept and approach for many stakeholders. ChatGPT, a generative pre-trained transformer, is an advanced artificial intelligence (AI) chatbot based on a complex network structure and trained by the company OpenAI. It has the potential for the fast learning of PED. This paper reports a trial test in which ChatGPT is used to provide written formulations of PEDs within three frameworks: challenge, impact, and communication and dissemination. The results are compared with the formulations derived from over 80 PED experts who took part in a two-day workshop discussing many aspects of PED research and development. The proposed methodology involves querying ChatGPT with specific questions and recording its responses. Subsequently, expert opinions on the same questions are provided to ChatGPT, aiming to elicit a comparison between the two sources of information. This approach enables an evaluation of ChatGPT’s answers in relation to the insights shared by domain experts. By juxtaposing the outputs, a comprehensive assessment can be made regarding the reliability, accuracy, and alignment of ChatGPT’s responses with expert viewpoints. It is found that ChatGPT can be a useful tool for the rapid formulation of basic information about PEDs that could be used for its wider dissemination amongst the general public. The model is also noted as having a number of limitations, such as providing pre-set single answers, a sensitivity to the phrasing of questions, a tendency to repeat non-important (or general) information, and an inability to assess inputs negatively or provide diverse answers to context-based questions. Its answers were not always based on up-to-date information. Other limitations and some of the ethical–social issues related to the use of ChatGPT are also discussed. This study not only validated the possibility of using ChatGPT to rapid study PEDs but also trained ChatGPT by feeding back the experts’ discussion into the tool. It is recommended that ChatGPT can be involved in real-time PED meetings or workshops so that it can be trained both iteratively and dynamically. Full article

Chatbots are increasingly being used as a representative agent for big companies as their implementation opens up promising opportunities to improve customer service. The present paper examines chatbots in this context, elaborating on their impacts in service quality. The purpose of this research is to understand the form of implementation of an artificial intelligence chatbot in the field of customer service in PT. FinAccel Finance Indonesia. A descriptive qualitative method is used in this research by collecting data through interviews and literature studies. This study uses SWOT analysis (strength, weakness, opportunity, threat) as a strategy planning technique and problem solving that emphasizes the importance of the role of internal and external factors. The authors informed the solution obtained by PT. FinAccel Finance Indonesia after knowing the advantages and disadvantages of chatbots. Full article

For years, several countries have been concerned about how to dispose of unused pharmaceuticals that can endanger human health and the environment. Moreover, some people are in desperate need of medical attention and medications, but they lack the financial resources to obtain them. In Saudi Arabia, there are no take-back medicine programs, and there is no published research on how medications properly are disposed. The aim of this research is to use the power of artificial intelligence to assist in the proper management and disposal of expired and unused medications and to develop a prototype device for collecting medication by automatically classifying medications for proper disposal and donation. In this research, artificial intelligence technologies such as web-based expert systems, image recognition and classification algorithms, chatbots, and the internet of things are used to assist in a take-back medications program. In conclusion, the prototype design of a web-based expert system and the device reduced improper disposal risks by providing significant advice on the safe disposal of unwanted pharmaceuticals. By using an organized method of collecting expired medications, the benefits were made possible. Full article

With the popularity of financial technology (fintech) chatbots equipped with artificial intelligence, understanding the user’s response mechanism can help bankers formulate precise marketing strategies, which is a crucial issue in the social science field. Nevertheless, the user’s response mechanism towards financial technology chatbots has been relatively under-investigated. To fill these literature gaps, latent growth curve modeling was adopted by the present research to survey Taiwanese users of fintech chatbots. The present study proposed a customer continuance model to predict continuance intention for fintech chatbots and that cognitive and emotional dimensions positively influence the growth in a user’s attitude toward fintech chatbots, which in turn, positively influences continuance intention over time. In total, 401 customers of fintech chatbots were surveyed through three time points to examine the relationship between these variables over six months. The results support the theoretical model of this research and can advance the literature of fintech chatbots and the information technology adoption model. Full article

Currently, private universities, as a result of the pandemic that the world is facing, are going through very delicate moments in several areas, both academic and financial. Academically, there are learning problems and these are directly related to the dropout rate, which brings financial problems. Added to this are the economic problems caused by the pandemic, where the rates of students who want to access a private education have dropped considerably. For this reason, it is necessary for all private universities to have support to improve their student income and avoid cuts in budgets and resources. However, the academic part represents a great effort to fulfill their academic activities, which are the priority, with attention on those interested in pursuing a training programs. To solve these problems, it is important to integrate technologies such as Chatbots, which use artificial intelligence in such a way that tasks such as providing information on an academic courses are addressed by them, reducing the administrative burden and improving the user experience. At the same time, this encourages people to be a part of the college. Full article

This study examines technology effectiveness for industry demand in which artificial intelligence (AI) is applied in the financial sector. It summarizes prior studies on chatbot and customer service and investigates theories on acceptance attitudes for innovative technologies. By setting variables, the study examines bank revenue methodologically and assesses the impact of customer service and chatbot on bank revenues through customer age classification. The results indicate that new product-oriented funds or housing subscription savings are more suitable for purchase through customer service than through chatbot. However, services for existing products through chatbot positively affect banks’ net income. When classified by age, purchases by the majority age group in the channel positively affect bank profits. Finally, there is a tendency to process small banking transactions through the chatbot system, which saves transaction and management costs, positively affecting profits. Through empirical analysis, we first examine the effect of an AI-based chatbot system implemented to strengthen financial soundness and suggest policy alternatives. Second, we use banking data to increase the study’s real-life applicability and prove that problems in customer service can be solved through a chatbot system. Finally, we investigate how resistance to technology can be reduced and efficiently accommodated. Full article