Management Sciences and Quantitative Methods Commons^™

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Safeguard Cyberspace In Ransomware Era: Risk Analysis & Cyber Insurance, Li Huang

Electronic Theses & Dissertations (2024 - present)

The increasing frequency and severity of ransomware attacks pose significant challenges for organizational cybersecurity. Fragmentation across disciplines in cyber defense has created practical gaps in the development of the necessary capabilities needed to address rapidly evolving cyber threats. This study explores the impact of ransomware attacks and the evolving role of cyber insurance as a proactive cybersecurity partner. Bridging the gap between actuarial science and cyber risk management, it proposes an interdisciplinary framework that quantifies the impact of ransomware and integrates cyber insurance into cybersecurity strategies.

The primary contribution of this study is methodology. We present a framework that remains …

Restorative Leadership: A Generative Exploration With Women School Leaders, Camille Rénée Pauline Tyson Jacobs

Antioch University Dissertations & Theses

As schools increasingly adopt restorative practices, a parallel shift in leadership is occurring, challenging traditional leadership models like servant and transformational leadership. While research has largely focused on student outcomes, there is a critical gap in understanding how restorative practices influence school principals’ leadership. Given their central role in sustaining and expanding restorative initiatives, this study aimed to address that gap by developing a definitional framework for restorative leadership, grounded in the experiences of women school leaders in grades 5 to 12. Using sensemaking theory, the research examined how leaders conceptualize and apply restorative values in practice. Key questions included …

Psychological Safety And Belonging In High-Risk Search And Rescue Teams: A Mixed-Methods Study, Sarah Seiler

Antioch University Dissertations & Theses

Wilderness search and rescue (SAR) volunteers and teams are essential for the safety of outdoor adventurers, and yet, organizational culture has not been studied closely within this population. While extensive research is available regarding psychological safety in corporate and healthcare environments, the role of psychological safety in high reliability teams, like wilderness SAR, is limited. Organizational belonging is a burgeoning research area that has yet to be explored in wilderness SAR. This mixed methods phenomenological study increased the understanding of the experience of psychological safety and organizational belonging in wilderness SAR volunteers. Initial quantitative statistical analysis that utilized t-tests, correlation …

Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang

Journal of Scientific Information Research

[Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective,elucidates the logical system of the development of the discipline from the diverse perspectives …

Imputation Methods Based On Cluster‑Wise Linear Regression: A Mathematical Programming, Ahmed M. Gad Prof, Mahmoud Mostafa Rashwan, Nouran M. Tawheed

Business Administration

In some applications, datasets may form several homogeneous clusters with respect to the relationship between the explanatory variables and the response variable. The presence of missing values in such datasets requires the use of two or more regression models subjected to a single objective function, which best summarizes the structure of the dataset, for imputing the missing values. This can be done using the cluster-wise linear regression model. The cluster-wise linear regression model is estimated through a mathematical programming approach based on the available data. Three imputation methods based on cluster-wise linear regression are used in this article. They are …

Organizational Accounting In Value-Based Care: How Are You Really Doing?, Stephanie Fischer Mba, Jennifer Stephens Do

Administration & Leadership

No abstract provided.