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Human Capital: Recognition and Reporting
No full textThis discussion provides the definition, background, types, and categories of the business entity’s human capital workforce. Investors, business regulators and other stakeholders believe human capital has value that should be measured and disclosed on the entity’s financial statements. Various means to determine human capital value are identified and discussed. together with available disclosure guidelines. Support for reporting human capital values on the entity’s financial statement is presented together with information about why human capital should not be reported. Investors, stakeholders, and other financial statement users’ perspective regarding the availability of human capital value information are presented with the reporting framework
An End-To-End LLM Enhanced Trading System
No full textThis project introduces an end-to-end trading system that leverages Large Language Models (LLMs) for real-time market sentiment analysis and trading signal generation. By synthesizing financial news and social-media streams, the system integrates sentiment-driven insights with technical indicators to support actionable investment decisions. FinGPT serves as the core sentiment model, ensuring domain-specific accuracy, while additional models validate performance across financial contexts. The framework combines live multi-source data processing, LLM-based summarization, and real-world strategy testing, deployed on Kubernetes for scalable operation. This comprehensive approach demonstrates how advanced LLM techniques can enhance trading strategies through timely and nuanced sentiment understanding
Hotel Supply Chain: Enhancing Operational Efficiency, Sustainability, and Resilience
No full textThis research explores the complex dynamics of supply chain management (SCM) within the hotel sector, highlighting its changing role in promoting efficiency, resilience, and sustainability. It commences with essential principles of operations and supply chain management, traces the historical development of the hotel industry, and examines procurement, inventory management strategies, and contemporary technological advancements such as ERP, APS, and RFID systems. This research paper also emphasizes the increasing importance of sustainability, ethical sourcing, and green supply chain initiatives in fulfilling environmental and social responsibilities. Additionally, the paper analyzes the effects of COVID-19 on global supply chains, particularly how leading hotel chains adapted to maintain business continuity. By integrating operational strategy with technological and ethical factors, this study offers a thorough overview of SCM as a vital contributor to competitive advantage in the hospitality sector
Guerrilla Radio and Political Consciousness: Examining the History and Dialectic of Radio Biafra in Nigeria as a Counter-Hegemonic Discourse
No full textThis study analyses radio as a means of audience connection and participation, particularly through pirate radio channels and their links to political activities in Nigeria. It pays attention to Radio Biafra, a dissident radio station run by Indigenous People of Biafra (IPOB) from 2014 and 2024 to analyse the impact of pirate broadcasting on listeners. The study connected audiences in Lagos and Aba, Abia State, Nigeria, using a fusion of textual analysis and quantitative methods to assess audience impact. Of the 150 distributed questionnaires, 102 responses were analysed, indicating that IPOB’s broadcast reached a large segment of its audience. The result showed a social divide between licensed broadcasters and pirate radios, stressing the urgency for the government to close the gap. The findings’ implications are pertinent to government agencies and policymakers, thereby giving insights that could change their understanding of radio broadcasting. The study highlights the capacity of pirate radios to serve as a medium for anti-establishment dialogue and civic engagement, particularly in times of socio-political turmoil
The Critical Role of Response Time in Detecting Careless Respondents: A Case Study on Data Contamination
No full textThis study examines the critical role of response time in identifying careless respondents (CRs) and their impact on the integrity of online survey data. Using a survey design with time filters and bogus items, this study demonstrates that data from inattentive participants introduces significant contamination to datasets. The results indicate that data from flagged CRs distort construct structures, inflate inter-construct correlations, and compromise construct validity. This case study highlights the severe effects of data contamination and emphasizes the importance of measuring response time as a key detection method, providing practical recommendations for its application to ensure data quality
More Alike Than Different: A Qualitative Analysis of Parental Moral Instruction Across Ethnicity and Gender in an HSI
No full textThis paper examines whether American students at a Hispanic-Serving Institution (HSI) report receiving similar parental guidance rooted in universal moral values, such as respect, education, and self-discipline, despite differences in ethnicity and gender. Using qualitative data from 380 self-identified student groups (n = 1,850) and analyzed through Grounded Theory and Moral Foundations Theory (MFT), the findings reveal strong moral convergence across Hispanic and non-Hispanic populations. Core values, including respect for elders, avoidance of drugs, personal responsibility, and the importance of education, were consistently emphasized, regardless of cultural framing. These results challenge DEI narratives that emphasize division and instead affirm a shared ethical foundation among American youth. Our study promotes constructive cultural pluralism without embracing moral relativism or identity essentialism and supports value-based pedagogy as a unifying approach to teaching business ethics. Drawing on key Industrial-Organizational Psychology theories and empirical literature, we illustrate how early moral socialization predicts ethical alignment, workplace citizenship behavior, and common value systems— especially in relation to employee socialization, leadership development, and principled diversity initiatives
Navigating the Evolution of Public Perceptions on Educational Equity: A Comprehensive Exploration Using a Machine Learning Approach
No full textPromoting educational equity, crucial for boosting achievement among diverse students and reducing inequality, remains a persistent issue despite longstanding efforts. This study analyzes Twitter data from 2016 to 2022, exploring changes in public perceptions of educational equity. Tweet frequency concerning key topics first rose, peaked in 2019, and then dwindled by 2022. Despite an overall neutral public sentiment indicating an ambivalent stance, a subjective shift occurred over time. These findings offer meaningful implications and suggestions for stakeholders, including educators, policymakers, and social leaders, underscoring the need for a renewed focus on enhancing educational equity
The Influence of Leadership on Self Determination, Work Engagement, and Job Crafting on Marginalized Workers in Health Care Environments
No full textThis study examines how dirty workers, those in housekeeping, janitorial, and food services, are marginalized despite their contributions to patient care and hospital operations. Often stigmatized, they are viewed as disciplinary problems rather than valued team members. Using theories of Self-determination, Job Crafting, Work Engagement, and Leader-Member Exchange theory, this study reframes behavioral issues as symptoms of systemic neglect. It argues inclusive leadership and supportive environments can foster engagement, creativity, and dignity among these workers. Ultimately, the study suggests organization success depends on affirming all workers’ value, not on control or punitive approaches
Bridging Academia and Industry: The Influence of Student Club Engagement on Workplace Diversity, Inclusion, and Skill Development
No full textDemonstrating a commitment to diversity, equity, inclusion, and a sense of belonging remains an organizational strategy to address inequalities in the workplace. Academic institutions play a role in aiding organizations to build a capable workforce that can navigate and contribute within diverse settings. Several microcosms exist within the academic world that have implications for the workplace, among these include student engagement and leadership in extracurricular activities, such as student clubs. However, there is a gap in the literature regarding the influence of student-club leader diversity on club demographic composition that needs to be explored. This narrative review serves as a call to action for future research to investigate these considerations and the potential influences and benefits to the workplace. Furthermore, this narrative highlights the documented benefits of student club participation in the workplace, including improved employee skill development, increased ability to collaborate and think critically, and enhanced workplace retention
Liabilities of Newness and Smallness in the Age of Artificial Intelligence: What Liabilities?
No full textThe most significant improvement in productivity is the division of labor powered by technology. The speed at which businesses adopt, assimilate, and disseminate these technologies impacts their survival. Size has been identified as a major factor that affects the speed and rate of technology adoption. Despite the contribution of small businesses to the world’s economy, access to resources has constrained their growth, making them appear small, less legitimate, and more prone to failure. Artificial intelligence is helping small businesses gain legitimacy and overcome some of the liabilities of smallness and newness. Artificial Intelligence is a system created to analyze data and perform specific tasks through human-like decision-making processes and has significantly impacted organizations, societies, and individuals. AI adoption and benefits are not fully understood since existing literature is in its infancy and fragmented. Multiple or recurring Gartner’s Hype Cycles makes AI technology adoption different from general technology adoption. Moreover, with AI technology adoption, size and incumbency may not be advantageous to large businesses. Implications and future research directions are discussed