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Exploring Collaborative Advantage: A Comprehensive Review and Synthesis of Research on Collaboration
Full text linkThe paper aimed to identify three influential factors that will impact collaborative performance. The first conceptualization of collaboration is discussed to illustrate the nature of collaboration. In the further examination, three factors of collaboration capability, timing of collaboration and relationship structure are discussed that, if manipulated well, contribute to collaborative advantage. In the end of the paper, implications of this research are discussed briefly
Maximizing Retail Potential: The Role of Big Data Analytics
Full text linkThe retail industry has been transformed by technological advancements and evolving consumer behavior. This paper examines the benefits, challenges, and strategic implications of Big Data Analytics (BDA) in the retail sector through a comprehensive review of recent literature. The findings highlight three key opportunities for leveraging BDA in retail: enhancing customer relationships, improving operational efficiency, and gaining strategic advantages. However, several challenges persist, including privacy and security concerns, inadequate data-driven support systems, complexities in data visualization and processing, and insufficient governmental support.
In addition to exploring the potential advantages and limitations, this study emphasizes the strategic role of BDA in facilitating data-driven decision-making for retailers. By balancing these opportunities and challenges, retail firms can harness Big Data as a critical source of competitive advantage. Finally, the paper identifies future research directions to further advance the application of Big Data in the retail sector, aiming to address existing gaps and unlock its full potential
Preferred Teaching Delivery Methods for Generation Z
Full text linkThis paper is an empirical study of Generation Z undergraduate business students (n=227) from a small liberal arts and a R1 University in the Midwest. The research question included an exploration of the students’ e-learning and technology adoption, and communication preferences, with professors to facilitate their e-learning. Several e-learning techniques were examined to determine student preference. Studies have shown that Generation Z students have a very short attention span and increasingly use online sources to access information (Sparks et al., 2017; Purcell et al., 2012). However, the same students indicated they preferred using the physical textbooks and favored working alone
Destigmatizing Cannabis: A Theoretical Exploration of Shifting Consumption Norms in the U.S. Legal Market
Full text linkThis study explores the destigmatization of stigmatized consumption, focusing on the evolving landscape of legal cannabis in the United States. With global adult-use cannabis sales projected to surpass 33 billion U.S. dollars by 2025, the market's growth is undeniable. Despite its expansion, the legal cannabis market remains intricate and controversial. There has been a steep increase in support for cannabis legalization over the last two decades in the U.S. and around the world. This study combines the “stigma turbine” theoretical framework with normative social behavior and market co-optation theories, proposing a categorization of consumption practices from stigmatized to destigmatized to normalized to normatized. By examining the destigmatization process, this framework offers insights applicable beyond cannabis, aiding scholars in understanding the dynamics of stigmatized behaviors and guiding policymakers and brand managers in navigating evolving perceptions and responses. We offer a few public policy implications that advocate for more research in the cannabis field that would educate consumers and increase awareness
BRICS: Rebalancing the New World Order An Impassioned Trajectory
No full textIt has been more than 23 years since Jim O’Neil, head of economic research at the investment bank Goldman Sachs (GS), wrote in an internal policy paper that four countries, Brazil, Russia, India, and China (BRIC). Seeking to attract investors, in his 2001 GS Global Economic Paper No. 66, “Building Better Global Economic BRICs,” O’Neil focused on investment opportunities in four developing countries— Brazil, Russia, India, and China (BRIC), O’Neill further argued that the balance of world economic powers was already tilting in favor of these four countries which he labeled as “BRIC” economies. The BRIC nations embraced the term and invited South Africa In 2010 to join them. Hence the acronym BRIC became “BRICS.”
In this paper, I plan to focus on economic progress of BRICS countries, as reflected in their GDP, international trade, and Foreign Direct Investment (FDI). I will illustrate the power of BRICS as well as the global challenges these countries will face in the coming decades in achieving their mission to change the global order
Enhancing Employee Retention: Predicting Attrition Using Machine Learning Models
No full textEmployee attrition poses challenges for organizations, affecting productivity and costs. This study applies machine learning models to predict attrition using the IBM Employee Attrition dataset. To address class imbalance, we analyze ten supervised models, with Random Forest outperforming others, especially with SMOTE. Key predictors include overtime, stock options, job satisfaction, job level, and tenure with a manager. Causal inference techniques quantify their impact, providing understanding for retention strategies. These findings provide actionable insights for organizations to implement targeted retention strategies, reduce turnover, and enhance employee engagement. Future research should explore real-time analytics and ethical AI frameworks for workforce management
1:1 Modality for Online Students: Applications of Adult Learning Theory
No full textIndividual support for online students plays a significant role in building engagement. Further, personalized experiences, such as flexible start dates, serve to increase retention. This paper describes applications of a 1:1 modality for online instruction, delivered within an open-admissions institution that serves non-traditional students. Parameters of the instructional model are explained in the context of adult learning theory. A focus group composed of faculty serving in various programs teaching courses in the 1:1 model was conducted. Analysis of focus group data was conducted, revealing key themes. Future applications and directions are presented in the context of student engagement and retention
A Predictive Analytics or Data Quality Assessment Through Artificial Intelligence Techniques
No full textData quality assessment, a crucial procedure in big data analysis, faces challenges due to the complexity and diversity of data sources, real-time processing demands, and sheer data volume. Identifying potential data quality concerns in large datasets is particularly difficult, especially when dealing with multiple data sources. This paper explores prominent factors like completeness, timeliness, correctness, integrity, and relevance of data to determine how AI tools can enhance the predictive analytics of data quality. It focuses on data quality in AI systems, explaining techniques like data cleaning and validation. AI, utilizing ML and DL approaches, analyzes massive and sophisticated datasets, increasing the accuracy of predictions. AI-derived models help organizations review and improve data quality, facilitating predictive business analytics and providing valuable insights for decision-making. The paper emphasizes the importance of AI in ensuring data quality and highlights its ability to enhance processes across various fields
Case Study & Lessons Learned: Creation and Pilot of a Regional Small Business Accelerator and Cybersecurity Assessment Program
No full textStartup companies and originated small businesses are an essential aspect of our nation’s economy, contributing to many organizations that aim, in some cases, to become larger enterprises. As a small business is in the mode of sustaining and growth, minimizing cybersecurity and business resilience threats may not be front and center on the minds of these entities. This paper will provide a case study background about a project and effort – the New Jersey Cybersecurity Regional Cluster (NJCRC) - that has contributed significant outreach to New Jersey small businesses to provide free cybersecurity risk assessments to help small businesses prepare their organizations against technical, operational, and cyber and information security resilience threats. In addition to the background of this outreach activity, the process and procedures followed, along with the selected cybersecurity risk assessment framework, a theoretical model followed, challenges, and learned lessons are demonstrated
Leading Through Turbulence: A 40-Year Empirical Synthesis of Crisis Leadership
No full textOver the past four decades, crises such as 9/11, Hurricane Katrina, the 2008 Great Recession, the COVID-19 pandemic, and the 2025 Los Angeles wildfires have exposed the strengths and shortcomings of leadership during unprecedented challenges. This article presents a thematic analysis of empirical peer-reviewed literature from 1985 to 2025, synthesizing lessons learned across diverse crises. By focusing on five core dimensions—decision-making under uncertainty, emotional intelligence, communication strategies, resilience-building, and ethical leadership—this analysis provides actionable insights for leaders navigating volatile, uncertain, complex, and ambiguous (VUCA) environments. The findings emphasize adaptability, transparency, empathy, and ethical stewardship as key factors that distinguish successful crisis leaders. The article also proposes a "Crisis Leadership Framework" to guide future leaders in addressing the dynamic demands of a rapidly changing world. Through this synthesis of research and practice, this article bridges academic insights with pragmatic tools, equipping leaders to respond effectively to global disruptions while fostering long-term resilience