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Partnering for Impact: Insights From a Strategic HBCU-PWI Collaboration
No full textWhile collaborative partnerships between Historically Black Colleges and Universities (HBCUs) and Predominantly White Institutions (PWIs) do occur, they are rarely discussed in the literature. In this piece, the authors provide an overview of a collaborative partnership between two HBCUs—Alabama A&M University and Winston-Salem State University —and one PWI—Michigan State University—to improve science teaching and learning in rural Alabama and North Carolina. This article serves as a reflection of what it means to truly create and sustain collaborative partnerships in higher education. Lessons learned, and insights gained from the first years of the developing partnership, will also be discussed
MBA Student Performance on the ETS Exam: Assessing Student Performance on an Exit Exam That Is Not a Degree Requirement
No full textOur MBA program has required the ETS Exit Exam for many years. The exam is given during our capstone course. Results are used for programmatic assessment. The ETS exam cannot be used as a “graduation requirement,” nor is it part of course grades. Anecdotal evidence indicates students are aware of this, which may affect the extent to which they do or don’t prepare for the exam. This study examines the effectiveness of this type of “exit exam.” We compare student performance to de-identified student data. This study will inform our faculty about potential changes for programmatic assessment
Addressing Remote Work Burnout: Mindfulness and Strategic Subtraction Techniques for Effective Leadership
No full textThis study examines burnout reduction interventions for remote leaders, particularly in the context of COVID-19’s impact on work-life boundaries. Using a quasi-experimental design, online survey findings from remote employees were analyzed through the lens of Maslach Burnout Inventory (MBI) and Job Demands-Resource Theory (JD-R). Results indicate that Mindfulness Meditation and Strategic Subtraction are effective in reducing burnout. These findings offer practical insights for organizations seeking to improve employee well-being and mitigate turnover risks in remote work settings. Implications for leadership strategies and workplace policies are discussed to support sustainable remote work environments through practical interventions
The Human-Centered Design With Iterative Service-Learning Framework: Applied to Small Rural Organizations
No full textThe innovative framework described in this work integrates human-centered design principles with iterative service-learning to incrementally develop and improve computing artifacts. An application is demonstrated through work with small rural organizations, who rarely have the expertise or resources to develop computing artifacts to market and deliver their products and services. Historically, service-learning team projects once delivered are not updated. Additionally, there are few structured guides for assisting the implementation of service-learning. Human-centered design has been shown to improve the quality of computing artifacts. Yet, even when using human-centered design principles, computing artifacts rarely function well long-term without updates. The proposed framework addresses issues plaguing service-learning's success while developing high-quality artifacts. A step-by-step execution guide is provided, along with a sample longitudinal application. The framework was qualitatively and quantitatively evaluated at multiple points in the implementation. This research also analyzed impact and found both students and clients reporting high satisfaction levels
Case Study-Based Experiences and Advice on the Use of Autoethnographic Research Method in Organizational Research
No full textThis article presents findings from a longitudinal autoethnographic case study (2016–2024) on the evolution of knowledge management within a large Finnish state-owned research and development institution. Offering a cultural perspective, the main researcher—an internal member of the organization— reflects on personal experiences while engaging in autoethnographic research.
The article emphasizes lessons learned from conducting this type of research and proposes recommendations for producing high-quality autoethnographic work. It also briefly outlines the study’s theoretical framework, relevant literature, and key empirical insights.
Through thematic narrative analysis, the study uncovered nine distinct patterns that shaped the organization’s knowledge management history. These patterns emerged through the fusion of empirical findings, theoretical knowledge, and intuitive application of a knowledge management framework. This framework evolved into a narrative model informed by four key perspectives: people, processes, technology, and the ‘I’ - the researcher's subjective lens
Revolutionizing Scientific Interaction with LLMs: Advances, Challenges, and Future Directions
No full textLarge language models (LLMs) are reshaping human-computer interaction (HCI) in scientific and technical domains by enabling natural language interfaces, streamlining workflows, and expanding decision support. This review examines how LLMs automate research tasks, enhance data analysis, and foster transparent human-computer collaboration across diverse fields—ranging from radiological imaging to astrodynamics and environmental studies. The discussion then addresses key obstacles, including inaccuracies, hallucinations, hidden biases, security risks, and intensive computational demands, which limit widespread LLM adoption in high-stakes applications. Building on these insights, the review proposes strategies such as retrieval-augmented generation, ethical auditing, and domain-specific model compression to ensure responsible, high-performance usage. Emphasis is placed on the importance of interdisciplinary collaboration, robust governance, and continued innovation to realize LLMs’ transformative capabilities. Ultimately, advanced AI systems must be carefully tailored to align with ethical standards, minimize risk, and meet the stringent scientific and technical practice requirements
The Impacts of IT and EC Investments and Time Trends of the Speeds of Adjusting the Actual Toward the Maximum Pay upon CEO Compensation: An Extension
No full textWe analyze the impacts of information technology (IT) and e-commerce (EC) investments and time trends of the speeds of adjusting the observed (actual) toward the desired (maximum) pay upon chief executive officer (CEO) compensation in US firms, based on the adjustment model and its associated adjustment valuation (AV) approach, under the assumption of stochastic and dynamic adjustment speed (AS); and, then, we compare the new results to the findings of Lin and Chen (2024) based on the assumption of dynamic and variable AS. A comparative analysis strongly suggests that the new results are more realistic in a world full of uncertainty (Lin et al., 2019, pp. 769 and 777)
The Impact of Major Global Disruptions on Profitability and Revenue Expansion Among Leading Corporations
No full textThis study examines the performance of select industries within the Fortune 500 that experienced increased demand during the COVID-19 pandemic, utilizing data from the EDGAR database and SEC filings. Findings indicate that industries prioritizing digital transformation through technological innovation, operational agility, and strategic adaptation were better equipped to navigate disruptions, sustain growth, and achieve resilience. The results underscore the critical role of integrating digital strategies into core business models, not only as a response to immediate crises but also as a sustainable foundation for long-term competitiveness in an increasingly digital economy
A Signaling Theory Perspective on Social Impact Accelerators’ Selection Decisions
No full textEntrepreneurial initiatives addressing pressing social and environmental challenges have become an important domain of scholarly inquiry. Prosocial ventures, arising from the intersection of market-based and social welfare logics, encounter significant obstacles in securing resources. Social impact accelerators (SIAs) are short-term, cohort-based programs that partially mitigate these challenges by providing seed funding, mentoring, and peer networks that reinforce ventures’ value propositions. Admission into SIAs is therefore a critical determinant of subsequent venture success. Despite the expansion of accelerator research, limited attention has been devoted to SIAs. This study employs signaling theory, complemented by pecking-order and static trade-off theories, to conceptualize selection and admission decisions
From the BCM Model to Hybrid HCAI – Part I: The Story of an Idea Whose Time Has Come
No full textThis paper summarizes the central ideas of Friedrich Reinhard Schieck’s new book “From the BCM Model to Hybrid HCAI (Part I) – The Story of an Idea Whose Time Has Come!” It reconstructs the development of an extraordinary model of thinking, ranging from the upheavals of the 1990s, which led to the emergence of the Business Communication Management (BCM) model, to the vision of a human-centered, hybrid Human-Centered Artificial Intelligence (Hybrid HCAI) by 2025.
Based on the conviction that companies are not machines but living social systems, Schieck formulated principles early on that were far ahead of their time: transparency, feedback, decentralized responsibility, and role-based self-organization. While classic control models increasingly failed due to growing complexity, BCM offered an alternative operating system for organizations in transition as early as the 1990s. Three decades later, the world is once again at a turning point. In many places, digital transformation has not led to greater productivity, but to more bureaucracy. A significant “adaptation gap ” has emerged between technological possibilities and organizational reality. Based