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Emotion Analysis and Topic Modelling of Supply Chain Discussion During the COVID-19 Pandemic
Full text linkThis study aims to investigate the supply chain discussion during the COVID-19 pandemic using the supply chain tweets collected between March 2020 and May 2022 globally. The findings reveal an evolving sentiment trajectory: while the users’ sentiment remained neutral in 2020 and 2021, a negative sentiment surged starting in January 2022. Moreover, an emotion analysis indicates a mix of sadness and optimism among Twitter users, with anger gradually intensifying from June 2021 onward. Furthermore, topic modeling reveals distinct themes discussed each year. In 2020, major topics centered around the government’s response to COVID-19, food and medical supply chain crises. By 2021, discussions shifted to inflation/gas prices, government handling of supply chain crisis, and vaccination/recovery efforts. The first half of 2022 witnessed dominant discussions on the war in Ukraine, inflation and human rights, the US election and border crossing issues. The implications of these findings were discussed at the end
Artificial Intelligence Chatbot Perception and Use Across Campus
No full textSince the widespread availability of generative Artificial Intelligence (AI) Chatbots, colleges and universities have been grappling with their impact on higher education. The attitudes toward AI Chatbots vary greatly, but most studies focus on specific campus populations. As such, we designed and conducted a survey to capture use and perception of AI Chatbots across the three primary campus populations: faculty (N = 77), staff (N = 110), and students (N = 223). While all three campus populations had similar scores regarding being first adopter of new technology, they had statistically significantly different scores for seven other 5-point Likert scales regarding AI Chatbot use and perception. Despite the differences in their use and perception, subsequent textual analysis indicates that the campus populations share similar concerns about AI Chatbot accuracy, bias, and technology dependency. As such, we provide insight into the attitudes across campus after a sudden and significant technological innovation disrupts educational practices
What Does the American Presidency Mean? The Need for Interpretation of Presidency Studies
No full textWhat Does the American Presidency Mean? The Need for Interpretation in Presidency Studies makes a compelling case for how interpretivism contributes to our understanding of the American presidency.
This brief book is accessible and inviting, regardless of a reader’s background in presidency studies or interpretivism. Part I explores several dimensions of interpretivist and positivist methodologies. Chapters discuss the characteristics of interpretivism, genealogically trace positivism’s dominance in presidency studies, and identify how attributes of the presidency that raise methodological challenges for positivism are the same that make it fertile ground for interpretivism. Part II explores a wide range of interpretive scholarship on the American presidency, including studies of presidential meaning making, the institution’s historical-political development, presidential symbolism, the construction of the presidency, and the presidential spectacle. It concludes with an interpretation of recent developments emphasizing the timeliness, relevance, and importance of methodological pluralism in presidency studies.
The book is written for anyone interested in the meaning of the presidency, whether scholars or graduate students in American political science, or those from other disciplines within and outside the United States. It is appropriate for courses on the American Presidency, Executive Politics, Political Communication, Rhetoric, and Social Science Methods, among others
Invisible Experiences, Visible Impacts: Navigating the Intersections of Work and Personal Life
No full textThis symposium sheds fresh light on the challenges faced by working women, focusing on the intersection of health transitions, family dynamics, and career trajectories. Despite representing nearly half of the workforce, women’s experiences with menopause, caregiving, and dual-career dynamics remain underexplored, with significant implications for individual well-being and organizational outcomes. The first two papers address health transitions, with one exploring how online communities reduce stigma and build resilience for individuals navigating menopause, and the other examining how workplace policies influence decisions to disclose health challenges. The third paper investigates barriers faced by dual-career households, highlighting how entrenched norms hinder advancement and offering practical solutions. The final paper introduces the Parent-Child Shared Activities Scale, reframing caregiving as a source of recovery and enrichment rather than depletion. Together, these papers provide actionable strategies to address invisible challenges and advance equitable work-life integration for individuals and organizations
Analyzing the Declining Role of Starting Pitchers in MLB
Full text linkIn Major League Baseball (MLB) , the use of starting pitchers has faced major scrutiny. This study aims to discuss the declining role of starting pitchers in MLB and analyze how this affects team success during the regular season. Recent literature and statistics reveal that starting pitchers are throwing fewer innings and have lower pitch counts over the last two decades than in previous years. Attributing to this declining role are extreme spikes in the number of Tommy John (UCLR) surgeries, newly added rule changes, and the introduction of new philosophical approaches. Data from the 2024 regular season regarding starting pitchers is recorded to track these factors. Then, a series of regression analyses is performed using the team’s success as the dependent variable to determine if a relationship exists
Determinants of Wealth Inequality in Central America: A Panel Data Analysis of Socioeconomic and Institutional Factors
Full text linkThis study applies a non-linear panel threshold regression model to examines the factors of economic development in Central America, with an emphasis on institutional and socioeconomic factors. Using data acquired between 2000 and 2023 the research evaluates how different variables like trade openness, FDI, financial development, education spending, inflation and population growth impacts the growth of GDP at different levels of institutional quality. The results demonstrate that institutional quality levels create a distinct threshold effect when trade openness and FDI fail to promote growth in weak institutional settings while inflation volatility strongly hinders growth. FDI and financial development show positive effects on economic growth when institutions reach an optimal standard and education expenses becoming essential for growth. Through its findings, this research demonstrates that better institution management enables traditional growth-enhancing factors to succeed. The recommended policies stress that organizations throughout the region should implement institutional changes for improved governance and transparency to support lasting economic development. The paper proposes different directions for upcoming research that comprises dynamic modeling approaches as well as assessments of regional cooperation effects
