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- Information technology (2)
- Affective polarization; twitter; liberal; conservative; politics; gender; voting; out-group party sentiment; data analytics; machine learning for social media (1)
- Computer science (1)
- Gender studies (1)
- Hit Song Science; Bracketology; March Madness; Spotify; YouTube (1)
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- Internet (1)
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- Project-based learning; Python; data analytics; data science; data visualization; coding (1)
- Social media; social capital; idea co-creation; ideation; innovation (1)
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- Virtual water flows; multiregional input-output model; Yellow River Basin; international and interprovincial trade (1)
Articles 1 - 5 of 5
Full-Text Articles in Other Business
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 …