Classification, a fundamental data analytics task, has widespread applications across various academic disciplines, such as marketing, finance, sociology, psychology, education, and public health. Its versatility enables researchers to explore diverse research questions and extract valuable insights from data. Therefore, it is crucial to extend…

Strategy theory recognises outer general environmental mutations in the legal landscape as compelling dynamic forces of business competition. Thus, the latest EU directive on data protection constitutes an uncharted event for testing organisational adaptability. This research aims to understand the impact of GDPR and the endeavours towards the…

Purpose: Judging bias is ironically an inherent risk in every competition, which might threaten the fairness and legitimacy of the competition. The patriotism effect represents one source of judging bias as the judge favors contestants who share the same sentiments, such as the nationalistic, racial, or cultural aspects. This study attempts to…

Statistical competitions like ASA DataFest and the Women in Data Science (WiDS) Datathon give students valuable experience working with real, challenging data. By participating, students practice important statistics and data science skills including data wrangling, visualization, modeling, communication, and teamwork. However, while advanced…

This case study delves into the intricacies of internationalization in higher education through the lens of phenomenology and Interpretative Phenomenological Analysis (IPA). Based on original research with 30 international students and staff across three UK institutions, the study reveals the hidden dimensions of xeno-racism, angelism, and ethical…

Although academics are increasingly expected to share their research data and materials with other academics, many appear reluctant to do so. While extant research emphasises commercial involvement and peer influence as determinants of withholding behaviour, we hypothesise that the volume of competing commitments plays an important role in…

This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…

Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…

Anecdotal evidence suggests that students with quantitative business majors (e.g., finance, accounting, data analytics, economics) outperform students from less quantitatively rigorous majors (e.g., management, human resource management, marketing) on a business simulation game at a mid-sized, southeastern, public, AACSB accredited university. We…

In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the…

This original research is directed towards the information literacy of international master's students, focusing on the evaluation of their information-seeking behaviour during competitive and business intelligence processes, together with the subsequent verification methods they use once the desired information is found. During this research, 207…

In this article, we presented our findings regarding an online project-based learning course, delivered to 64 students from the Federal University of Sao Paulo, Brazil, during the COVID-19 pandemic, in the second semester of 2021. The course had the goal of teaching Project Management by means of a competition (the Data Science Olympics). Our goal…

Fierce competition has made innovation increasingly necessary for business success, and this has increased the importance of user-based innovation strategies like design thinking (DT). While many studies in technical and professional communication (TPC) have explored how DT can be used pedagogically, no studies have done this through investigating…

This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…

The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…