|Present||Professor, University of South Florida|
Honors and Awards
- 2016-2017: Best Prototype Award for Predicting the Winner of a NBA Game in Real-Time: A Data Snapshot Approach, Workshop on Information Technology and Systems (WITS), Dublin, Ireland.
- ST: Development of Bus App (ISM6930-DBA)
- Internship (GEB6930)
- Computers in Business (CGS2100)
- Business Application Development (ISM3232)
|Ph.D., University of Plymouth (UK) ‐ Computer Systems Analysis|
|M.S., University of Plymouth (UK) ‐ Intelligent Systems (Computer Systems Analysis)|
Office: LPH 316C
Refereed Journals (18)
A data snapshot approach for making real-time predictions in basketball. USF St. Petersburg campus Faculty Publications (2018)
This article proposes a novel approach, called data snapshots, to generate real-time probabilities of winning for National Basketball Association (NBA) teams while games are being played. The approach takes a snapshot from a live game, ...
How honest are the signals? A protocol for validating wearable sensors. USF St. Petersburg campus Faculty Publications (2018)
There is growing interest among organizational researchers in tapping into alternative sources of data beyond self-reports to provide a new avenue for measuring behavioral constructs. Use of alternative data sources such as wearable sensors is ...
Software testing cost reduction with genetic algorithms and neural networks. USF St. Petersburg campus Faculty Publications (2014)
Highly complex and interconnected systems may suffer from intermittent or transient software failures. These are particularly difficult to diagnose without large quantities of test cases. This research focuses on a hybrid method for generating test ...
GA-based path planning for mobile robots: An empirical evaluation of seven techniques. USF St. Petersburg campus Faculty Publications (2013)
Previous research suggests that genetic algorithms (GAs) offer a promising solution to path planning for mobile robots. We examine six simple GAs used in prior studies, comparing them to a new node sequence approach that ...
A 4D natural selection model illuminates the enigma of altruism in the Shedao pit viper. USF St. Petersburg campus Faculty Publications (2011)
Endemic to a small island off the coast of China, the Shedao pit viper, Gloydius shedaoensis, is known for its ‘accidental altruism.’ Juvenile pit vipers often kill passerine birds too large to swallow. Large prey ...
Morality in marketing: Oxymoron or good business practice? USF St. Petersburg campus Faculty Publications (2011)
Marketing morality as oxymoron or good business practice is the primary focus of this research and is a topic deserving of attention by the field. Much theory on morality involves issues like salesperson behavior that ...
The evolution of cooperative hierarchies through natural selection processes. USF St. Petersburg campus Faculty Publications (2010)
According to a bioeconomic model called skew selection, individuals form cooperative hierarchies when coping with high risk environments that include predators and cycles of scarce resources. This paper reports a study that used agent-based computer ...
A simulation of business-to-business decision making in a relationship marketing context. USF St. Petersburg campus Faculty Publications (2009)
The dynamic and interactive SUGARSCAPE simulation is adapted to represent agent-based relationship marketing models in business-to-business exchanges. Computer-generated selling agents operate in complex environments using relationship marketing approaches that may or may not be uniformly ...
The profit implications of altruistic versus egoistic orientations for business-to-business exchanges. USF St. Petersburg campus Faculty Publications (2009)
This study significantly expands upon previous research by Hill and Watkins [Hill, Ronald Paul and Watkins, Alison, (2007), “A Simulation of Moral Behavior within Marketing Exchange Relationships,” Journal of the Academy of Marketing Science, 35 ...
A simulation of moral behavior within marketing exchange relationships. USF St. Petersburg campus Faculty Publications (2007)
This investigation uses a simulated business-to-business sales context to examine five individual moral philosophies (true altruists, true egoists, realistic altruists, tit-for-tats, and realistic egoists). The simulation is based on the Iterative Prisoner’s Dilemma and its ...
Clusters of entrepreneurs: The application of ant colony optimisation modelling. USF St. Petersburg campus Faculty Publications (2006)
Purpose – Entrepreneurs operate in conditions of dynamic uncertainty; identifying and exploiting opportunities presented by the business environment. Opportunistic search is core to entrepreneurial activity, but its dynamics are rarely explored. Groups of entrepreneurs are ...
Evolutionary test data generation: A comparison of fitness functions. USF St. Petersburg campus Faculty Publications (2006)
Previous research using genetic algorithms to automate the generation of data for path testing has utilized several different fitness functions, assessing their usefulness by comparing them to random generation. This paper describes two sets of ...
Mogul games: In defense of inequality as an evolutionary strategy to cope with multiple agents of selection. USF St. Petersburg campus Faculty Publications (2005)
In this paper, we propose that the “powerful and privileged” sustain their way of life through greed and they sustain the lives of others through trickledown sharing. Greed provides the powerful and privileged a buffer ...
The impact of personal and organizational moral philosophies on marketing exchange relationships: A simulation using the Prisoner’s Dilemma game. USF St. Petersburg campus Faculty Publications (2005)
The purpose of this research is to examine the impact of individual and firm moral philosophies on marketing exchange relationships. Personal moral philosophies range from the extreme forms of true altruists and true egoists, along ...
Evolving complex organizational structures in new and unpredictable environments. USF St. Petersburg campus Faculty Publications (2000)
In this research, the process of mutation and creation described by genetic algorithms (GAs) is used to explore the patterns of evolving strategic decision making by organizations faced with rapidly changing and unpredictable environmental conditions. ...