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Full-Text Articles in Social and Behavioral Sciences

Cited Data (Say So Much): A Case Study On What Data Sources Our Business Researchers Are Citing, Edward Junhao Lim, Jiebei Luo Dec 2023

Cited Data (Say So Much): A Case Study On What Data Sources Our Business Researchers Are Citing, Edward Junhao Lim, Jiebei Luo

Published Works

Data is the fuel of business research, but what kind of data do business researchers use, and how do they use it? In this presentation, we reveal the data sources and topics of hundreds of journal articles from two business schools - New York University Stern School of Business and the University of Connecticut School of Business. We analyze the full text of journal articles published between 2020 and 2022 to identify cited data sources and rank the most popular commercial, public, and open datasets. We highlight the top ten data sources for each school and each type of secondary …


Library Can’T Buy You (All The) Data: What Data Sources Are Our Business Researchers Citing?, Edward Junhao Lim, Jiebei Luo Nov 2023

Library Can’T Buy You (All The) Data: What Data Sources Are Our Business Researchers Citing?, Edward Junhao Lim, Jiebei Luo

Published Works

This presentation is a fascinating look at how business researchers use databases and datasets. Our study examines the full text of hundreds of journal articles published between 2020 and 2023, by researchers from two business schools belonging to R1 universities in the Northeast U.S. - New York University, a top private research university, and the University of Connecticut, a public land-grant university.

Our presentation will list the most commonly cited datasets - commercial data and public, open data. We discuss the similarities and differences between the two business schools and offer insights on how dataset usage impacts research outcomes and …


Benchmarking Lossless Still Image Codecs: Perspectives On Selected Compression Standards From 1992 Through 2022, Michael J. Bennett Jun 2023

Benchmarking Lossless Still Image Codecs: Perspectives On Selected Compression Standards From 1992 Through 2022, Michael J. Bennett

Published Works

As complementary technologies evolve, data compression continues to be a foundational aspect of growing digital collections. In this study, selected lossless still image codecs from 1992 through 2022 were benchmarked across a variety of efficiency and performance measures using reference images from cultural heritage. Additionally, entropy estimates were calculated by source image to assist in characterizing image information and evaluating encoder efficiency against assessed feasible compression limits. Encoder designs and compression techniques were also examined in the context of the study’s measured results.


Book Review: Data Cartels: The Companies That Control And Monopolize Our Information, Edward Junhao Lim Mar 2023

Book Review: Data Cartels: The Companies That Control And Monopolize Our Information, Edward Junhao Lim

Published Works

No abstract provided.