Enhancing Customer Service in Banking with AI: Intent Classification Using Distilbert

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With the increasing demand for efficient and responsive customer service in the banking sector, artificial intelligence offers a promising solution. This paper presents a comparative analysis of artificial intelligence methodologies applied to intent classification within the banking sector customer service domain. Utilizing a comprehensive dataset of banking service inquiries, we evaluate several machine learning approaches, including Naive Bayes, Logistic Regression, Support Vector Machine with Linear Kernel, Random Forest, XGBoost, and the transformer-based DistilBERT model. The models are assessed based on their accuracy, precision, recall, and F1 score metrics. Our findings indicate that DistilBERT, with its distilled architecture, not only outstrips traditional models but also demonstrates exceptional performance with an accuracy and F1 score exceeding 92%. The paper delves into the advantages of employing such an efficient and powerful model in real-time customer service settings, suggesting that DistilBERT offers a substantial enhancement over conventional methods. By providing detailed insights into the model’s capabilities, we underscore the transformative impact of employing advanced AI in the financial industry to elevate customer service standards, streamline operational efficiency, and harness the power of state-of-the-art technology for improved client interactions. The results showcased in this study are indicative of the strides being made in AI applications for financial services and set a benchmark for future exploratory and practical endeavors in the field.

Assessing AI Adoption: Investigating Variances in AI Utilization across Student Year Levels in Far Eastern University-Manila, Philippines

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This study investigates the prevalent use of artificial intelligence (AI) among college students at Far Eastern University. Despite the risks, it aims to understand the primary reason behind the continuous use of AI. According to academics, the benefits of implementing AI in higher education include better inclusion, increased efficiency in administrative costs, and improvements in the learning-teaching process (Pisica et al., 2023). However, the extreme utilization of AI among students has led to cheating and plagiarism for many reasons that impact their personal lives and mental health. The researcher identified potential gaps while assessing possible solutions to lessen the student using Artificial Intelligence (AI) excessively. Moreover, the researcher used a quantitative method analysis involving 40 college students from 1st-year level to 4th-year level to explore the impacts of Artificial Intelligence on their academic tasks and learning styles. Thus, examining the utilization of AI from different year levels of Far Eastern University college students revealed that the researcher provides valuable insights into addressing the challenges posed by excessive dependency on AI while maintaining academic integrity and the need for the students to develop their critical thinking skills. After the researcher analyzed the collected data, it showed that the utilization of Artificial Intelligence (AI) for academic workloads varies among participants covering different college students, showing that first-year students rely on AI due to peer pressure. In contrast, the second-year students use it to improve their academic standing. Third-year students depend on AI because of time constraints, while fourth-year students use AI to minimize the possibility of human errors. The study conveys no significant differences in the probability of using AI for academic purposes, and it does not prevent the students from using AI regardless of their year level. Therefore, the researcher recommends proposing stricter AI checkers and educating the students on responsible Artificial Intelligence (AI) usage to mitigate academic misconduct.

 

Influence of Purchase Decision for An Advanced Production Digital Platform Adoption Process in The Coal Industry: The Investigation Using Pls-Sem Analysis

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In 2022, the coal-producing sector faced unusual difficulties, which were paralleled by a significant rise in global pricing. The business is too complex for the the most advanced technologies, especially when it comes to figuring out the best blend scenarios. This calls for a comprehensive approach that combines modern technology with careful consideration to support companies in surviving in a competitive and unpredictable commercial environment. Over the past few years, industries have been seeking technological advancement in an effort to improve operating procedures and efficiency, but these innovations still face challenges in being broadly accepted and adopted. In order to determine the primary characteristics that most significantly promote technology adoption, this study combines the Unified Theory of Acceptance and Use of Technology (UTAUT) with purchasing decision theory. The main tool used to collect data is structured questionnaires, which are given to respondents who fulfill predetermined requirements. The replies are gathered, and the SmartPLS 4.0.9.9 software is used to handle them.  According to the study, behavioral intention and behavior manner use are not significantly mediated by unanticipated situational events or other people’s attitudes that align with purchase decision theory. Additionally, users’ use of behavior to adopt digital production platforms in the coal mine business is positively impacted by behavioral intention. Policymakers could consider encouraging all staff members on a regular basis to help them develop a positive mindset, which will enhance their usage behavior.

 

The Influence of Company Size, Board of Directors and Leverage on Sustainability Report Disclosure with Profitability as a Moderation Variable in LQ45 Companies Listed on the Indonesia Stock Exchange

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This research aims to analyze the influence of company size, board of directors and leverage on sustainability report disclosure with profitability as a moderating variable in LQ45 companies on the Indonesia Stock Exchange. This research is quantitative research with a causal nature and data collection techniques obtained through the annual reports of LQ45 companies listed on the IDX for the 2018-2022 period. The population in this research is the LQ45 companies on the Indonesia Stock Exchange (IDX), totaling 21 companies. The sampling technique in this research is the purposive sampling method. The analysis technique used is multiple linear regression analysis and moderated regression analysis. The research results show that company size has no effect on sustainability report disclosure. The board of directors has a positive and significant influence on sustainability report disclosure. Leverage has a positive and significant effect on sustainability report disclosure. Profitability is not able to moderate the influence of company size on sustainability report disclosure. Profitability is able to moderate the influence of the board of directors on sustainability report disclosure. Profitability is able to moderate the influence of leverage on sustainability report disclosure.

Challenging the Societal Stigma Surrounding Body Dysmorphia in the Philippines: Bridging the Gap of Misconceptions

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Body Dysmorphic Disorder is a mental health disorder that adversely affects how people perceive their physique and self-concept. The study focuses on a thorough investigation of the pervasive societal stigma surrounding Body Dysmorphic Disorder (BDD) in the Philippines. Moreover, it expounds on the related literature and studies to elucidate the profound impact of the stigma on individuals with the disorder.   Patients with the disorder often experience unrestrained and excessive repetitive behavior, such as criticizing one’s physical flaws, people-pleasing, and overly obsessing about self-grooming practices (Body Dysmorphic Disorder, n.d.). Utilizing the integrative review for the methodology, the paper examines relevant and significant literature from electronic databases to further develop vital information and analyses for challenging social stigmas related to body dysmorphia in the Philippines. The study reviews the existing literature to recognize social perceptions and stereotypes of body dysmorphia in the Philippines, exploring cultural, social, and historical elements that contribute to the stigma. It identifies interventions intended to challenge societal stigma. Local and international sources were used to examine the effectiveness of existing approaches in addressing BDD and its societal stigma. It further explores the effectiveness of community-based education programs, media literacy campaigns, and mental health awareness programs in challenging misconceptions and promoting acceptance of people facing BDD. The research aims to identify the societal stigma associated with BDD or Body Dysmorphic Disorder in the Philippines, which negatively affects the mental and emotional well-being of individuals facing the disorder, further bridging the gap of misconceptions.

Unraveling the Dynamics of Social Media Engagement and Activism among Far Eastern University Students: A Demographic and Attitudinal Analysis

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As multiple generations continue to engage in social media and activists, the researchers saw this as an opportunity to influence change. This study explored how technology, particularly social media platforms, helps shape activism among Far Eastern University students, containing 80 participants from various academic years. Through analysis of the engagement, the study intended to understand which social media platforms are the most and least effective for promoting social change. The researchers used a quantitative approach with survey questionnaires, exploring the students’ views about social media activism. Integrating data analysis that includes descriptive and inferential statistics provides valuable insights for activists, policymakers, and educators navigating the dynamic realm of social media activism. Eventually, the data shows Instagram is the most popular site for social media activity at Far Eastern University, with Threads receiving the least attention. Students mostly utilize social media for communication, information searching, and self-expression, motivated by socio-political interests and a desire to belong. The study emphasizes the strong link between social media use and online activist activity, implying a transformative effect. Future studies should broaden demographics and use mixed-methods approaches, focusing on capacity-building activities for student activists focused on social media advocacy to achieve positive societal change.

Use of Digital Technologies: Family Perspectives on Children’s Health

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The increasing use of digital technologies among children and adolescents prompts concerns about their impact on development and necessitates family mediation. This study explored primary caregivers’ views on the effects of screen exposure on child health through a focus group with 20 caregivers (17 mothers and 3 grandmothers, aged 20 to 40) from an elementary school in Irecê, Bahia. Findings indicate that children’s screen time, including TV and mobile phones, often lacks proper time and content control due to caregivers’ extensive responsibilities such as remote work and household chores. Major concerns were exposure to violent games, deceptive online profiles, and potential interactions with abusers. Notable behavioral issues in children included irritability, aggression, and sleep problems. Caregivers implemented mediation strategies like setting rules, time restrictions, content filters, and discussing digital self-care. The discussion also addressed addiction mechanisms, family screen habits, gender differences in electronic device usage, and their health impacts on children. An agreement was made to limit screen use across the family, especially an hour before bedtime, aiming to enhance children’s sleep quality and thereby improve their mood and academic performance. This condensed study underscores the challenges caregivers face with children’s digital access and stresses the importance of effective mediation strategies. Enhanced parental engagement and school collaboration are crucial for fostering healthier digital habits that benefit children’s health and family well-being.

 

Relationships between Organizational Culture, Organizational Commitment, and Organizational Citizenship Behavior

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Organizations that are going to prosper and grow, particularly in the area of human resource management, must be able to recognize new opportunities in order to be ready for the future. The researcher is eager to look at the interactions between three important factors: organizational culture, organizational commitment, and organizational citizenship behavior, based on a survey of relevant literature. Organizational culture is the social glue that keeps workers united and fosters a feeling of community within the company. Previous research has shown that indicators of organizational success are significantly impacted by organizational commitment. An organization’s efficacy can also be significantly increased by practicing organizational citizenship. Current study indicates that employees’ organizational commitment is positively impacted by organizational culture. Furthermore, the results demonstrated that organizational culture has a discernible impact on organizational citizenship behavior. Based on the results of the aforementioned investigations, the researcher concludes that organizational commitment has a considerable impact on organizational citizenship behavior. The study’s results, according to the researcher, should eventually provide light on significant variables affecting organizational development. The final result of this study is that the researcher presents a model of the relationship between three important human resource factors: organizational culture, organizational commitment, and organizational citizenship behavior, as a guideline for organizational administration and human resource management development in the future.

Ecotourism Commodification from A Socio-Economic Perspective (A Case Study of Tanjung Puting National Park, Indonesia)

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This research aims to determine the socio-economic impact of the commodification of ecotourism occurs in Tanjung Puting National Park. Data in this study were obtained using a case study method. The economic indicators used include income and employment opportunities. Meanwhile, social indicators include cultural acculturation and the community’s skill level. The results show that the development of this ecotourism is able to create more job opportunities for the public in the tourism sectors such as tour guide, food and beverages service, and travel agents. Public who taking opportunities will generate another source of income. In addition to contributing income to the local community, this ecotourism also contributes Non-Tax Government Revenue (PNBP). The social impact that arises is shifting of the public lifestyle becomes more westernized and an increase in the level of creativity of the public in business entrepreneurship.

Taxes and Unemployment in the Asean Countries

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This study has inspired us to understand the relationship between taxes and unemployment in ASEAN countries. Taxes are one of the sources of government development funding, including human development. The purpose of this study is to find out how much ASEAN four governments are taxed for inaction. The four ASEAN governments are used as examples. The methods used in this study were information verified using the eViews app, 12.The results showed that  simultaneously the variables Foreign Domestic Investment, Exchange Rate have a positive and significant influence on tax revenue. Partially, Foreign Domestic Investment variables and exchange rates have a positive and significant influence, while exchange rate variables have a negative and insignificant influence on tax revenue. Furthermore, the variable of tax revenue has a positive and significant influence on unemployment. For this reason, governments in ASEAN countries need efforts so that tax revenues can increase so as to reduce unemployment in their respective countries.