Papers by Michael Mannino
Commands are an important part of large scale industrial software specifications, especially wher... more Commands are an important part of large scale industrial software specifications, especially where the specification is separated from its implementation as in open software standards. Commands can be complex because of large numbers of parameters, dependencies among parameters, subtle side effects, and lack of abstraction. We present a formal approach for command modeling and apply it to IBM's Distributed Data Management Architecture (DDM), a complex, large scale specification of data access on remote and heterogeneous IBM systems. Our approach consists of three parts: a declarative, executable command specification language, an incremental specification technique, and automated reasoning tools. The command specification language provides a formal interpretation of the structural (input-output) and behavioral properties (state constraints/change) of commands. To manage the details of complex commands with numerous inter-dependent arguments, a novel incremental specification tec...
Teaching Tip : Emerge2Maturity: A Simulation Game for Data Warehouse Maturity Concepts
The Journal of information and systems in education, Jun 1, 2021
Product reputation manipulation: the characteristics and impact of shill reviews
ProQuest LLC eBooks, 2013
Effect of Software Features and Tasks on Software Use: The Role of Training as a Moderator
Effect of Software Features on Generalized Audit Software Use: The Moderating Role of Training and Audit Tasks
This paper describes an innovative approach for teaching the challenges in the management of data... more This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of conceptual material and experiential learning. The simulation game, Emerge2Maturity, addresses learning challenges faced by students as they experience development over time, determine capabilities to balance costs and benefits for consistency with an organization’s strategy, observe organizational learning effects on costs and benefits, and gain awareness of the impact of external events. To support decision-making by players and address these learning challenges, Emerge2Maturity uses two novel models: the Capability Assessment Model for choices about data sources subject to budget and resource constraints and the Configuration Model for tra...
Experiencing the Challenges of Data Warehouse Development: Implementation of a Serious Game
Americas Conference on Information Systems, 2016
Serious games have been used in education for decades. Playing increases motivation and engagemen... more Serious games have been used in education for decades. Playing increases motivation and engagement, fundamental components of the learning process. This paper presents the design and prototype implementation of an information technology strategy game called Emerge2Maturity. The game is about data warehouse development challenges. The game framework combines selection of a data warehouse architecture and assessment of related capabilities. We developed a prototype implementation using a storyboard concept and embedded Microsoft Excel sheet. Although data warehouse development is complex, the game is designed to capture important tradeoffs. The paper describes the details of the game design, show examples of the implementation and explain how the game is going to be evaluated.
Product Reputation Manipulation: The Impact of Shill Reviews on Perceived Quality
Online reviews have become a popular method for consumers to express personal evaluations and buy... more Online reviews have become a popular method for consumers to express personal evaluations and buyers to use as a source of product quality information in purchasing decisions. However, integrity of review systems is threatened by evidence about the prevalence of shill reviews. To understand the impact of shill reviews, an experiment was conducted to collect shill reviews and measure the impact of shill reviews on perceived product quality. The results showed positive shill reviews significantly increased quality perceptions of consumers for thinly reviewed products. This finding provides strong evidence about the risks of shill reviews and emphasizes the need to develop effective detection and prevention methods.
Experiencing the Challenges of Data Warehouse Development: Implementation of a Serious Game
Serious games have been used in education for decades. Playing increases motivation and engagemen... more Serious games have been used in education for decades. Playing increases motivation and engagement, fundamental components of the learning process. This paper presents the design and prototype implementation of an information technology strategy game called Emerge2Maturity. The game is about data warehouse development challenges. The game framework combines selection of a data warehouse architecture and assessment of related capabilities. We developed a prototype implementation using a storyboard concept and embedded Microsoft Excel sheet. Although data warehouse development is complex, the game is designed to capture important tradeoffs. The paper describes the details of the game design, show examples of the implementation and explain how the game is going to be evaluated.
Data Warehouse (DWH) Efficiency Evaluation Using Fuzzy Data Envelopment Analysis (FDEA)
This paper proposes the macro model and micro model for the efficiency evaluation of data warehou... more This paper proposes the macro model and micro model for the efficiency evaluation of data warehouses (DWH), and introduces Fuzzy Data Envelopment Analysis (FDEA) and Data Envelopment Analysis (DEA) to comprehensively assess DWH efficiency. FDEA can determine the efficiencies of data warehouses with multiple input / output variables, and also resolve the problem that standard DEA cannot handle with imprecise input / output data. FDEA results present efficiency from different viewpoints: Best-Worst Scenario and Worst-Best Scenario. The final ranking results between FDEA and DEA are similar on the highest efficiency and the lowest efficiency of data warehouses. Compared with DEA, FDEA can distinguish the efficiency difference for some data warehouses.
Mortality Prediction Performance using Similarity Measures for Medical Event Sequences
Location-Aware Mobile Applications: A Protection Motivation and Technology Acceptance Perspective
This paper presents initial findings regarding the acceptance of location-aware mobile applicatio... more This paper presents initial findings regarding the acceptance of location-aware mobile applications through the theoretical lenses of protection motivation theory (PMT) and the technology acceptance model (TAM). The adoption of smart-phone technology and the prevalence of location-based services have provided organizations with unique channels to reach customers. However, few studies have specifically examined the underpinnings of consumer acceptance of location-aware mobile applications. This study presents a framework for exploring the relationship between motivation-to-use, attitudetoward, and intention-to-use in the context of location-aware mobile applications. Furthermore, this study proposes an integrated model of the PMT and the TAM, which could be used in future studies exploring the acceptance of high-risk technologies.
Mortality Prediction using Similarity Measures for Medical Event Sequences Completed Research
We extend a similarity measure for medical event sequences (MESs) and evaluate its performance on... more We extend a similarity measure for medical event sequences (MESs) and evaluate its performance on mortality prediction using a substantial trauma data set. We extend the Optimal Temporal Common Subsequence for MESs (OTCS-MES) measure by generalizing the event-matching component with userdefined weights. In the empirical evaluation of classification performance, we provide a more complete evaluation than previous studies. We compare the predictive performance of the Trauma Mortality Prediction Model (TMPM), an accepted regression approach for mortality prediction in trauma data, to nearest neighbor algorithms using similarity measures for MESs. Using a data set from the National Trauma Data Bank, our results indicate improved predictive performance for an ensemble of nearest neighbor classifiers over TMPM. Our analysis demonstrates a superior Receiver Operating Characteristics (ROC) curve, larger AUC, and improved operating points on a ROC curve. Predictive performance improves for t...
Using similarity measures for medical event sequences to predict mortality in trauma patients
Decision Support Systems
Development and Evaluation of a Similarity Measure for Medical Event Sequences
ACM Transactions on Management Information Systems
Formal Modeling of Complex Commands
Effect of Software Feature Training on Beliefs, Use, and Performance: Using the Benford’s Law Feature of Generalized Audit Software
A Method for Database Requirements Collection
Journal of Management Information Systems, 1989
Database Design, Application Development, and Administration, Sixth Edition
2000 “The cost Minimizing Inverse Classification Problem: A Genetic Algorithm Approach”, Decision Support Systems 29,3
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Papers by Michael Mannino