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Full-Text Articles in Management Information Systems
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 …
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
FIU Electronic Theses and Dissertations
This research was conducted to examine the relationship between investment in intelligent systems resources and capabilities (based on artificial intelligence and machine learning algorithms) and the effect on company performance. Despite existing research on the benefits of adopting intelligent systems, companies have been slow to adopt as there is lack of research on intelligent systems use cases that will increase firm performance. This research study used resource-based view (RBV) and dynamic capabilities (DCF) theory to investigate firms’ investment in intelligent systems resources that build intelligent systems capabilities and the association to organization performance dimensions, revenue and profits. To answer this …
An Empirical Study To Understand The Effectiveness And Scope Of Blockchain Technology In Indian Public Sector, Radhakrishnan Airy, Hritika Gajarlawar, Nilay Bajaria, Ganesh Joshi
An Empirical Study To Understand The Effectiveness And Scope Of Blockchain Technology In Indian Public Sector, Radhakrishnan Airy, Hritika Gajarlawar, Nilay Bajaria, Ganesh Joshi
Walden Faculty and Staff Publications
The Blockchain is a distributed database that is maintained as Blocks and contains all transactions or digital occurrences. These are the records of transactions that take place between parties.Blockchain blocks are kept as blocks and shared among participants. Each Block is examined, validated, and saved by the parties who are a part of the system/network, each brick is unique and contains the details of a single transaction as well as the transaction's hash key. The study offers insights to researchers about the opportunity threat and future use of blockchain in the public sector.
Conflating Relevance With Practical Significance And Other Issues: Commentary On Sen, Smith, And Van Note’S “Statistical Significance Versus Practical Importance In Information Systems Research”, Kaveh Mohajeri, Mostafa Mesgari, Allen S. Lee
Conflating Relevance With Practical Significance And Other Issues: Commentary On Sen, Smith, And Van Note’S “Statistical Significance Versus Practical Importance In Information Systems Research”, Kaveh Mohajeri, Mostafa Mesgari, Allen S. Lee
Information Systems and Business Analytics Faculty Works
Expanding on the current debate on the issues of statistical and practical significance in information systems research, where the article by Sen, Smith, and Van Note is a recent contribution, this commentary cautions against conflating relevance with practical significance. We emphasize that relevance is 1) about the real-world usefulness of research findings rather than their impressiveness for the researcher audience, 2) an essential quality of research spanning beyond its findings and not merely limited to statistical studies, and 3) determined by nonacademics rather than academics. We also comment on other aspects of the article by Sen et al., such as …