An empirical study of non-binary genetic algorithm-based neural approaches for classification. - Parag C. Pendharkar; James A. Rodger (ICIS, 1999)

Managing radical transformation: a holistic paradigm. - David Paper; James A. Rodger (SIGCPR, 1999)

Development and Initial Testing of a Theoretical Model of Transformation. - David J. Paper; James A. Rodger; Parag C. Pendharkar (HICSS, 2000)

Nonlinear programming and genetic search application for production scheduling in coal mines. - Parag C. Pendharkar; James A. Rodger (Ann. Oper. Res., 2000)

Using Telemedicine in the Department of Defense. - James A. Rodger; Parag C. Pendharkar (Commun. ACM, 2000)

A BPR case study at Honeywell. - David J. Paper; James A. Rodger; Parag C. Pendharkar (Bus. Process. Manag. J., 2001)

Development and Testing of an Instrument for Measuring the User Evaluations of Information Technology in Health Care. - Parag C. Pendharkar; Mehdi Khosrowpour; James A. Rodger (J. Comput. Inf. Syst., 2001)

Mobile Computing at the Department of Defense. - James A. Rodger; Parag C. Pendharkar; Mehdi Khosrow-Pour (J. Database Manag., 2001)

Changing the Face of War through Telemedicine and Mobile E-commerce. - James A. Rodger; Parag C. Pendharkar; Mehdi Khosrowpour (Advanced Topics in Database Research, Vol. 1, 2002)

An empirical study of factors impacting the size of object-oriented component code documentation. - Parag C. Pendharkar; James A. Rodger (SIGDOC, 2002)

Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption. - Parag C. Pendharkar; James A. Rodger (Decis. Support Syst., 2003)

Voice says it all in the Navy. - David J. Paper; James A. Rodger; Steven John Simon (Commun. ACM, 2004)

An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification. - Parag C. Pendharkar; James A. Rodger (Comput. Oper. Res., 2004)

A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application. - James A. Rodger; Parag C. Pendharkar (Int. J. Hum. Comput. Stud., 2004)

A Probabilistic Model for Predicting Software Development Effort. - Parag C. Pendharkar; Girish H. Subramanian; James A. Rodger (IEEE Trans. Software Eng., 2005)

Business Dashboards- Challenges and Recommendations. - Pankaj Pankaj; Micki Hyde; James A. Rodger (AMCIS, 2006)

Information technology capital budgeting using a knapsack problem. - Parag C. Pendharkar; James A. Rodger (Int. Trans. Oper. Res., 2006)

A field study of database communication issues peculiar to users of a voice activated medical tracking application. - James A. Rodger; Parag C. Pendharkar (Decis. Support Syst., 2007)

An empirical study of the impact of team size on software development effort. - Parag C. Pendharkar; James A. Rodger (Inf. Technol. Manag., 2007)

An empirical study of the Cobb-Douglas production function properties of software development effort. - Parag C. Pendharkar; James A. Rodger; Girish H. Subramanian (Inf. Softw. Technol., 2008)

The relationship between software development team size and software development cost. - Parag C. Pendharkar; James A. Rodger (Commun. ACM, 2009)

Probabilistic and analytical estimation of software development team size. - Parag C. Pendharkar; James A. Rodger (Int. J. Hybrid Intell. Syst., 2010)

A distributed problem-solving framework for probabilistic software effort estimation. - Parag C. Pendharkar; James A. Rodger (Expert Syst. J. Knowl. Eng., 2012)

Toward reducing failure risk in an integrated vehicle health maintenance system: A fuzzy multi-sensor data fusion Kalman filter approach for IVHMS. - James A. Rodger (Expert Syst. Appl., 2012)

Emotion and Memory in Technology Adoption and Diffusion. - James A. Rodger; Stephen P. Gonzalez (AMCIS, 2013)

A fuzzy linguistic ontology payoff method for aerospace real options valuation. - James A. Rodger (Expert Syst. Appl., 2013)

Reinforcing inspiration for technology acceptance: Improving memory and software training results through neuro-physiological performance. - James A. Rodger (Comput. Hum. Behav., 2014)

A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings. - James A. Rodger (Expert Syst. Appl., 2014)

Application of a Fuzzy Feasibility Bayesian Probabilistic Estimation of supply chain backorder aging, unfilled backorders, and customer wait time using stochastic simulation with Markov blankets. - James A. Rodger (Expert Syst. Appl., 2014)

A Study on Emotion and Memory in Technology Adoption. - James A. Rodger; Stephen P. Gonzalez (J. Comput. Inf. Syst., 2014)

Attributes for Executing Change in an Agile Information System. - Pankaj Chaudhary; Micki Hyde; James A. Rodger (Int. J. Technol. Diffusion, 2015)

Information Systems Capabilities and Their Effects on Competitive Advantages: A Study of Chinese Companies. - Ganesh D. Bhatt; Ziping Wang; James A. Rodger (Inf. Resour. Manag. J., 2017)

Advances in multisensor information fusion: A Markov-Kalman viscosity fuzzy statistical predictor for analysis of oxygen flow, diffusion, speed, temperature, and time metrics in CPAP. - James A. Rodger (Expert Syst. J. Knowl. Eng., 2018)

QuantumIS: A Qualia Consciousness Awareness and Information Theory Quale Approach to Reducing Strategic Decision-Making Entropy. - James A. Rodger (Entropy, 2019)

An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad workers. - James A. Rodger (Expert Syst. Appl., 2020)

Forecasting Solar Radiation: Using Machine Learning Algorithms. - Pankaj Chaudhary; Rohith Gattu; Soundarajan Ezekiel; James A. Rodger (J. Cases Inf. Technol., 2021)

Quantitative software project management with mixed data: A comparison of radial, nonradial, and ensemble data envelopment analysis models. - Parag C. Pendharkar; James A. Rodger (J. Softw. Evol. Process., 2021)

Longitudinal Study of a Website for Assessing American Presidential Candidates and Decision Making of Potential Election Irregularities Detection. - Justin Piper; James A. Rodger (Int. J. Semantic Web Inf. Syst., 2022)

Assessing American presidential candidates using principles of ontological engineering, word sense disambiguation, data envelope analysis and qualitative comparative analysis. - James A. Rodger; Justin Piper (Int. J. Speech Technol., 2023)