Modeling the Psychological and Behavioral Effects of Meteorological Conditions on the Japanese Fashion Retail Sector: A Multivariate Analysis Using SEM
This study examines the psychological and behavioral effects of meteorological conditions on consumer purchasing behavior and retail sales within Japan’s fashion industry. Employing a structural equation modeling (SEM) approach, we integrate weekly point-of-sale (POS) data from a major Japanese department store (March 2022–February 2024) with meteorological variables provided by the Japan Meteorological Agency. The proposed model incorporates both objective environmental indicators (e.g., temperature, humidity, UV index) and latent psychological constructs (e.g., perceived weather discomfort, activity restrictions) to explore their direct and indirect impacts on consumer purchase intention and overall sales. Results reveal that adverse weather conditions—such as high wind speed, humidity, and UV exposure—negatively affect purchase intention, while precipitation and snowfall positively stimulate it. Purchase intention, in turn, exerts a significant positive effect on total weekly sales. The model demonstrates strong goodness of-fit metrics, supporting the hypothesized pathways. The study contributes theoretically by advancing a multi layered framework that links environmental stimuli to consumer cognition and behavior, and methodologically by applying SEM to longitudinal, real-world retail data. Practically, the findings offer strategic insights for retailers seeking to align promotional efforts and inventory planning with evolving weather patterns.
Keywords—Meteorological Marketing, Retail Marketing Science, Consumer Purchase Intention, SEM
Prof. Bob Barrett, American Public University, USA
Dr. Bob Barrett is a Full Professor for the WEB School of Business at the American Public University in Charles Town, West Virginia, USA. He has been teaching online for more than 24 years and has prior live teaching background with holds a current U.S. state teaching licensure. Also, he holds several instructor/professor positions with other online schools to keep his currency in his field and works with a range of Learning Management Systems (LMS). He lectures both nationally and internationally on the topics of Artificial Intelligence (AI) with a specialized in HR and MBA programs, Crisis Management, Knowledge Management, Online Learning, Training & Development, Strategic Management, and Intellectual Capital. His key research areas are the creation of knowledge management, intellectual capital, and human capital in the workplace, disability in the workplace and education, as well as having a specialization in development human resource departmental teams and preparing expatriates for work in the global market. He has spoken at more than 310 international conferences on each continent and serves on several conference advisory boards, as well as have served as the lead keynote speaker at several European and Asian conference. He believes that the field of online learning will be changing drastically over the next few years as Artificial Intelligence (AI) is now a major component in all organizations, especially educational institutions. Currently, he teaches AI courses in the MBA program.
Creating a Community of Artificial Intelligence (AI) Inquiry in Higher Education: Strategies for Building Bridges to Educate, Engage, and Empower Peers in High Education to Embrace Technological Change
Technology is a unique element of today’s business world and academic institutions, but two key facts exist. First, technology is ever changing. Second, some people embrace it or struggle to avoid technology. However, my purpose for tonight is to help every to “build bridges” for change to help improve our strategies to education, engage, and empower others in our profession, as well as our students. Let us imagine our educational environments where Artificial Intelligence (AI) is no longer property situated in STEM or computer departments – rather it has moved throughout the other departments, faculty lounges and other areas of the university setting. It is no longer when it happens, but it is here and now – so now is the time to decide. I am here to help create bridges, erode barriers, and help with a new story line to encourage each of you as my peers to “seize the moment” and reach out and share how AI can help change, create, build, and reshape the way we create knowledge, assessments, and our overall approach to pedagogy. While many faculty have been trying to bounce back from the Covid-19 Pandemic, some educators are still split on the acceptance of technology, but the Pandemic did change the minds of many instructors to rethink how technology can help them. Further, some educations still feel skeptical of AI or perhaps overwhelmed if they do not feel they have sufficient skills sets for embracing AI; thus, this opens the floodgates for a dialogue among educators to be addressed today. This discussion is not one for just one’s department or general body of knowledge, but it should engage in a cross-disciplinary culture of inquiry whereas we, as educators, can explore AI in an ethical, critical, and creative way. The core pillars of our AI Inquiry community surround 3 key strategies: 1) Educate; 2) Engagement; and 3) Empowerment. First, we need to develop a strong foundation for building AI literary, as well as enhancing our technology skill sets. Second, if we can engage other fellow educators in discussions, chat sessions, workshops, and/or beta testing new AI features and applications. Finally, we need to emphasize the need and power of AI technology among our ranks, the stronger we are in the use and application of AI applications, we can start creating better innovative and engaging learning moments for our students.
Assoc. Prof. Bambang Leo Handoko,
Bina Nusantara University, Indonesia
Bambang Leo Handoko, academics and practitioners in the field of accounting, specialty in Auditing. Experience as auditor in public accounting firm, internal auditor for corporation and auditor for securing vital objects of National Police Headquarters. He is an expert in financial audit, cryptocurrencies, financial technology, stock market and e-business. He has had many international publications in reputable journals and proceeding with high index from many citation and acknowledgement from international researchers. He had won a lot of research grant from institution and government. Currently work as Subject Content Coordinator Auditing in Accounting Department, School of Accounting, Bina Nusantara University of Indonesia. He also technical committee in many reputable journal and conference. He is also professional member of world class reputable research organization, Association of Computer Machinery (ACM).
The Impact of Extended Model of Heuristic Bias on Cryptocurrency Investment Decision
In this industrial era 4.0, cryptocurrency has become a new emerging investment instrument. Due to its high volatility, it is categorized as high risk. For that, we try to examine cryptocurrency investment decisions using the heuristic bias theory approach. The research method is quantitative, using primary data collected from distributing questionnaires to respondents. The respondents of this study are investors who have and are still actively investing in cryptocurrency. Primary data analysis uses structural equation modeling partial least squares (SEM PLS) using SMART PLS software. The results of this study state that availability bias, overconfidence bias and anchoring and adjustment have a significant positive effect on cryptocurrency investment decisions, while Gambler's fallacy and representativeness bias do not have a significant effect