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- Computer science (3)
- Information technology (3)
- Internet (2)
- Affective polarization; twitter; liberal; conservative; politics; gender; voting; out-group party sentiment; data analytics; machine learning for social media (1)
- Affinity analysis; association rules; adaptive DM development cycle; decision trees; Inductive inference; student retention (1)
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- Blockchain; blockchain fraud; tweets analytics (1)
- Entreprise information architecture; multiple channel; omni-channel (1)
- Gender studies (1)
- Hit Song Science; Bracketology; March Madness; Spotify; YouTube (1)
- Politics (1)
- Project-based learning; Python; data analytics; data science; data visualization; coding (1)
- Social media; social capital; idea co-creation; ideation; innovation (1)
- Social research (1)
- Technology mediated higher education; online education sentiment analysis (1)
- Virtual water flows; multiregional input-output model; Yellow River Basin; international and interprovincial trade (1)
Articles 1 - 10 of 10
Full-Text Articles in Other Business
An Illustration Of Using Adaptive Data Mining To Develop Strategic Knowledge Bases For Student Retention, Pi-Sheng Deng, Abhijit Chaudhury
An Illustration Of Using Adaptive Data Mining To Develop Strategic Knowledge Bases For Student Retention, Pi-Sheng Deng, Abhijit Chaudhury
Information Systems and Analytics Department Faculty Journal Articles
Technological development has engaged educational institutions in fierce global competition. To be competitive in meeting the changing needs of today’s student population, educational institutions find it imperative to prioritize student retention efforts and to develop strategies that interact with students to effectively provide additional value and service. In this study we developed a two-module system: a decision tree for predicting a student’s decision to stay until graduation and an affinity analysis algorithm for identifying the relationship between student attributes and student decisions. We followed a three-phase-six-stage adaptive data mining cycle in developing a knowledge base for student retention strategies. The …
Cost-Aware Generalized Α-Investing For Multiple Hypothesis Testing, Thomas Cook, Harsh Vardhan Dubey, Ji Ah Lee, Guangyu Zhu, Tingting Zhao, Patrick Flaherty
Cost-Aware Generalized Α-Investing For Multiple Hypothesis Testing, Thomas Cook, Harsh Vardhan Dubey, Ji Ah Lee, Guangyu Zhu, Tingting Zhao, Patrick Flaherty
Information Systems and Analytics Department Faculty Journal Articles
We consider the problem of sequential multiple hypothesis testing with nontrivial data collection cost. This problem appears, for example, when conducting biological experiments to identify differentially expressed genes in a disease process. This work builds on the generalized α-investing framework that enables control of the false discovery rate in a sequential testing setting. We make a theoretical analysis of the long term asymptotic behavior of α-wealth which motivates a consideration of sample size in the α-investing decision rule. Using the game theoretic principle of indifference, we construct a decision rule that optimizes the expected return (ERO) of α-wealth and provides …
Evolution Of An Enterprise Information System Toward Omni-Channel Retailing: A Case Study, Francis Varin, Abhijit Chaudhury
Evolution Of An Enterprise Information System Toward Omni-Channel Retailing: A Case Study, Francis Varin, Abhijit Chaudhury
Information Systems and Analytics Department Faculty Journal Articles
This case study covers the evolution of an enterprise information system at a sportswear firm. Over time, the sportswear industry has moved from a single channel to multiple channels and is now progressing toward an omni-channel system for better serving their customers. This required a corresponding evolution in the firm’s information technology (IT) systems. But changes in an IT system do not work in isolation. To get the most from their new IT platform, the firm discovered the need to redesign their organizational structure, redefine IT’s role, and do strategic workforce planning. The paper describes, under fictitious names, how the …
Music March Madness: Predicting The Winner Of Locura De Marzo, Kevin Mentzer, Zachary Galante, Brenna Rojek, Rachel Cardarelli
Music March Madness: Predicting The Winner Of Locura De Marzo, Kevin Mentzer, Zachary Galante, Brenna Rojek, Rachel Cardarelli
Information Systems and Analytics Department Faculty Journal Articles
Each Spring, thousands of middle and high school students enrolled in Spanish classes vote for their favorite songs in the annual Locura De Marzo competition. This alternative March Madness competition gives us an opportunity to build and test models to predict which songs will win which furthers the Hit Song Science literature. Using decision trees and support vector machine (SVM) models we find similarities with the challenge of predicting the popular NCAA Basketball bracket including the importance of seed and the difficulty in predicting a “perfect” bracket
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis, Guilian Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jinjing Liu
Virtual Water Flows Embodied In International And Interprovincial Trade Of Yellow River Basin: A Multiregional Input-Output Analysis, Guilian Tian, Xiaosheng Han, Chen Zhang, Jiaojiao Li, Jinjing Liu
Information Systems and Analytics Department Faculty Journal Articles
With the imminent need of regional environmental protection and sustainable economic development, the concept of virtual water is widely used to solve the problem of regional water shortage. In this paper, nine provinces, namely Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong in the Yellow River Basin (YRB), are taken as the research objects. Through the analysis of input-output tables of 30 provinces in China in 2012, the characteristics of virtual water trade in this region are estimated by using a multi-regional input-output (MRIO) model. The results show that: (1) The YRB had a net inflow of …
Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation, Pratyush Bharati, Kui Du, Abhijit Chaudhury, Narendra M. Agrawal
Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation, Pratyush Bharati, Kui Du, Abhijit Chaudhury, Narendra M. Agrawal
Information Systems and Analytics Department Faculty Journal Articles
Innovation scholars have long been discussing social media as a rich source of information, knowledge, and new ideas, yet, whether or how social media can directly intervene with organizational ideation processes remains unclear. In this study, we investigate the impact of external and enterprise social media platforms on organizational ideation. Grounded in seventy-nine cases and adapting social capital theory in social media contexts, this study attempts to develop a theory of social ideation. Social ideation consists of social media-enabled mechanisms that generate social capital, enable multi-level social exchanges, foster idea co-creation activities such as idea sourcing, filtering, elaboration, and integration, …
Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates
Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates
Information Systems and Analytics Department Faculty Journal Articles
This study examines how the Twittersphere talked about candidates running for the U.S senate in the 2018 congressional elections. We classify Twitter users as Liberal or Conservative to better understand how the two groups use social media during a major national political election. Using tweet sentiment, we assess how the Twittersphere felt about in-group party versus out-group party candidates. When we further break these findings down based on the candidates’ gender, we find that male senatorial candidates were talked about more positively than female candidates. We also find that Conservatives talked more positively about female Republican candidates than they did …
From Engagement To Empowerment: Project-Based Learning In Python Coding Courses, Mark Frydenberg, Kevin Mentzer
From Engagement To Empowerment: Project-Based Learning In Python Coding Courses, Mark Frydenberg, Kevin Mentzer
Information Systems and Analytics Department Faculty Journal Articles
Project-based learning (PBL) engages students deeply with course concepts and empowers them to drive their own learning through the development of solutions to real-world challenges. By taking ownership of and completing a project that they designed, students develop and demonstrate creativity, critical thinking, and collaboration skills. This paper describes two different software development projects, designed with a PBL approach, in Python coding courses at two business universities in the United States, in which students queried real-world data to answer their own questions and interpret the results. The authors contend that projects based on a PBL approach motivate students for selfexploration …
Blockchain Technology And The Current Discussion On Fraud, Linh Phan, Suhong Li, Kevin Mentzer
Blockchain Technology And The Current Discussion On Fraud, Linh Phan, Suhong Li, Kevin Mentzer
Information Systems and Analytics Department Faculty Journal Articles
Blockchain has received increased attention from both the academic and practitioner worlds. Numerous papers have been written on how blockchain works and its potential applications. However, few studies have focused on fraudulent activities on blockchain. The purpose of this study is to understand common issues and scams related to blockchain. A literature review was conducted to identify top security issues on blockchain. In addition, we collected tweets on blockchain fraud discussion from November 6, 2018 to December 31, 2008. The results of tweets analysis show that the most frequently mentioned words in tweets include scams, crypto/cryptocurrency, ICO, Bitcoin, Ethereum,combat/fight, Asia, …
A Preliminary Investigation Of Quality Metrics And Performance For Selected Institutions Delivering Technology Mediated Higher Education, Suhong Li, Kamel Rouibah, Hal Records, Robert Behling
A Preliminary Investigation Of Quality Metrics And Performance For Selected Institutions Delivering Technology Mediated Higher Education, Suhong Li, Kamel Rouibah, Hal Records, Robert Behling
Information Systems and Analytics Department Faculty Journal Articles
The 21st century has brought about significant change to both business organizations and educational institutions. One of the more important changes in delivering higher education is the development and growth of technology mediated higher education (online programs), delivered by both non-profit and for-profit college and university programs. These programs provide students with expanded opportunities to further their education and have enrolled hundreds of thousands of students in courses of study. This study assesses business school programs offering technology mediated higher education using five quality metrics: 1) external review and accreditation; 2) affordability; 3) admissions and graduation; 4) online students reviews …