Academic Experience

University Faculty Positions

Professorships, Sep 1994 - Aug 2014

Research: Publications | Working Papers Courses: Data Science | Statistics | Technical | Managerial

Publications

InterCon Travel Health: Case B, by Gregory E. Truman, Dessislava Pachamanova, and Michael A. Goldstein. Journal of Information Systems Education (JISE), Volume 21:1, Spring Issue, 2010.
Controlling Computer-Based Multitasking through Provisioning Systems in Co-Located Learning Settings, by Gregory E. Truman. Winner Claudio Ciborra Award for Innovative Research, 17th European Conference on Information Systems, Verona, Italy, June 2009.
Behavior Modeling, Instruction and Exploration Training Approaches in Group and Individual Contexts, by Gregory E. Truman. Behaviour & Information Technology, 28:6, 2009.
Multitasking With Laptops During Meetings, by Raquel Benbunan-Fich and Gregory E. Truman. Communications of the ACM (CACM), Volume 52: 2, February 2009.
Knowledge and Skills Associated with Information Technology: Levels and Influences, by Gregory E. Truman and Michael Gallivan. International Conference on Information Systems, Paris, France, December 2008.
InterCon Travel Health Case Study, Gregory E. Truman, Dessislava Pachamanova, and Michael A. Goldstein, Journal of the Academy of Business Education, Volume 8, Summer 2007.
A Preliminary Assessment of the Validity of a Computer Literacy Construct: Conceptualizing and Operationalizing on Numerousness. Best paper award in MIS/DSS/Microcomputers track. NE Decision Sciences Institute Conference, Baltimore, Maryland, March 2007. Also presented at national Decision Sciences Institute Conference, Phoenix, Arizona, November 2007.
The Effectiveness of Classroom Control Systems in a Traditional Learning Environment, by Gregory E. Truman, in Current Developments in Technology-Assisted Education, Volume 1, 2006. (Virtual Presentation at IV International Conference on Multimedia and Information and Communication Technologies in Education, Seville, Spain, November 2006.)
Software Use through Monadic and Dyadic Procedure: User-friendly or Not-So-Friendly?, Gregory E. Truman, Journal of Organizational and End-User Computing, Volume 17:1, p.1-22, Jan-March 2005.
An Empirical Assessment of Student Computer Use Behaviors in the Classroom, Gregory E. Truman, Proceedings of the 38th Hawaii International Conference on Systems Sciences, January 2005.
An Empirical Study of Smart Card Technology, Gregory E. Truman, Kent Sandoe and Tasha Rifkin, Information & Management, Volume 40:6, July 2003.
The Inherent Complexity of Computer Use among End-Users: Implications for Research and Practice, Gregory E. Truman, (AIS) Sponsored Theory Development Workshop, ICIS Conference, Barcelona, Spain, Dec 2002.
Integration in Electronic Exchange Environments, Gregory E. Truman, Journal of Management Information Systems, Volume 17:1, Summer 2000.
An Empirical Appraisal of EDI Implementation Strategies, Gregory E. Truman, International Journal of Electronic Commerce, Volume 2:4, Summer 1998.
A Discrepancy-Based Measurement Approach for Data Integration, Gregory E. Truman, Journal of Organizational Computing and Electronic Commerce, Volume 8:3, 1998.
A Reengineering Framework for Evaluating a Financial Imaging System, Henry C. Lucas, Jr., Donald J. Berndt and Gregory E. Truman, Communications of the ACM, May 1996.
Gender Differences in the Information Systems Managerial Ranks: An Assessment of Potential Discriminatory Practices, Gregory E. Truman and Jack J. Baroudi, Management Information Systems Quarterly, June 1994.

Publications (not peer review)

Computer Literacy: Conceptualizing and Operationalizing on Numerousness, by Gregory E. Truman, in Encyclopedia of Information Technology Curriculum Integration, Ed. Lawrence A. Tomei, Idea-Group Publishing, 2008.
Client-server Computing, Gregory E. Truman, in the IEBM Handbook of Information Technology in Business, edited by Milan Zeleny, International Thomson Publishing Company, London, England, 2000.
Internets, Intranets and Extranets: Purpose and Possibility, Gregory E. Truman, Fordham Business Review, Volume1:1, 1999.
Public Sector Implementation of New IT Infrastructure--An Evaluation Research Study, Jon Turner, Michael Fish, Valerie Spitler and Gregory Truman, Center for Research in Information Systems, Stern School of Business, New York University, 1997.
Final Evaluation Report for United Neighborhood Houses of New York, Inc.--The Information Technology Initiative, Jon Turner, Michael Fish, Valerie Spitler, Gregory Truman and Beverly Welch, Center for Research in Information Systems, Stern School of Business, New York University, 1996.

Working Papers

Antecedents Of Computer-Based Multitasking Behavior In Co-Located Meetings: An Empirical Investigation, with Raquel Benbunan-Fich.
IT Service Provisioning As A Management Control Structure, by Gregory E Truman.
The Relationship between Technology Appropriation and Learning Outcomes in a Technology Enhanced Learning Environment Separating On task and Off task Use Effects, by Gregory E Truman.

Teaching — Courses

Data Mining for Business Analytics	Programs: Executive
	Formats: Classroom, Lab

Explore assorted data mining methods that managers use to gain insight into and make better decisions for their business.
Examine the broad range of problems that can be (partly) solved through data mining, and be able to generate ideas about how data mining can be used in your firm.
Go through in hands-on fashion the data science process which includes data exploration, data preparation, feature engineering and analytic modeling.
Understand some of the important risks, challenges and limitations of data mining, and know how to address them through assorted options.
Discuss the main vendors that offer data science and machine learning platforms and understand some of the criteria to consider when making a vendor selection decision.

Quantitative Analysis for Business	Programs: MBA
	Formats: Classroom, Lab

Covers assorted problem-solving approaches that are widely used in businesses including optimization, (Monte Carlo) simulation and regression modeling in addition to probability theory.
Emphasizes the practical utility of these problem-solving approaches by applying them to business problems such as demand forecasting, production planning, and logistics among others.
Discusses the conditions under which one mathematical modeling approach is preferred or required over the others.
Uses a combination of lectures and exercises in classroom, and iterative instruction-practice intervals in computer lab as primary teaching methods.

Website Design and Implementation	Programs: Undergraduate
	Formats: Lab

Teaches (x)html, css and JavaScript programming languages and alternative debugging methods.
Instructs programming concepts like decision structures, loop structures and functions.
Informs about web site design principles and guidelines.
Discusses object-based and event-driven programming models.
Uses iterative instruction-practice intervals in computer lab as primary teaching method.

Database Design and Data Management	Programs: MBA and Undergraduate
	Formats: Classroom, Lab

Introduces conceptual data modeling tools like entity-relationship model and database schema.
Applies relational design principles — i.e., data normalization rules (first, second, third, etc.).
Instructs data definition language (DDL) and data manipulation language (DML), which includes advanced SQL programming.
Discusses multi-user design issues like concurrency control, atomic transactions and permissions.
Uses a combination of lectures and exercises in classroom, and iterative instruction-practice intervals in computer lab as primary teaching methods.

Technology and Innovation Management	Programs: Executive, MBA, Master of Science
	Formats: Classroom, Blended, Distance
	Skills: Blackboard, Adobe Connect, Cisco WebEx

Examines the business value propositions and management challenges associated with assorted applications including enterprise (ERP, CRM, SCM), business intelligence, Social CRM, social media, social media analytics, web analytics and collaboration among others.
Explores differences among off-premise (cloud) and on-premise (data center) hosting models with a focus on cost, control, security, and performance trade-offs, and contrasts the public, private and hybrid cloud computing models as options for optimizing these trade-offs.
Explores differences among SaaS, PaaS and IaaS service types with emphasis on understanding selection considerations like resource requirements and operating implications such as IT staffing needs.
Examines open source licensing for cost minimization and application customization objectives and explores implications of alternative open source licenses with a focus on GPL and Apache licenses.
Describes alternative software licensing options including per-seat, floating and enterprise and corresponding use contingencies, and investigates the utility of software asset management (SAM) applications for minimizing software licensing costs.
Explores alternative quantitative and qualitative approaches to evaluating and prioritizing IT investments with an emphasis on understanding soft benefits, the related measurement limitations, and implications for ROI calculation.
Positions firm-IT strategy alignment as a principal IT management objective that guides more micro-level decisions, and mission-critical vs non-mission-critical system distinction as an organizing principle for IT management decision-making.
Examines the utility of mobile computing in areas like advertising, operations and customer service, and for strategic objectives like cost minimization, agility (speed / cycle time), and control.
Explores opportunities for product and process innovations resulting from assorted technology trends such as big data, augmented reality, biometrics, video analytics, speech synthesis and wearable technologies.
Investigates assorted business model innovations with emphases placed on innovating for emerging markets and discovering the Fortune at the Bottom of Pyramid.
Discusses the opportunities and challenges associated with open innovation with a focus on understanding ways to protect intellectual property.
Compares assorted systems development methodologies with a focus on agile ones for the objective of reducing software development cycle time and attaining business requirement-application capability flexibility.
Discusses trade-offs among training and conversion options, and situates related decision-making considerations in a cost and time pressure context.
Uses case study discussion as teaching method.

Business Models Analysis	Programs: Master of Science
	Formats: Classroom

Presents conceptual frameworks for analyzing business models, which are defined as business plans that specify revenue and cost drivers, key business processes, and key resources for attaining viable profit-generating capability.
Discusses assorted business models as best practices from a variety of industries including information technology, telecommunications, entertainment and publishing.
Identifies convergence trends broadly related to telecommunication services and digital media, and discusses the implications of these trends for selected firms' business models.
Uses case study discussion as primary teaching method.

Global Information Systems Management	Programs: Master of Science
	Formats: Classroom

Introduces IT management opportunities and challenges that present in a global context.
Examines the IT readiness index and its components for diagnosing IT capabilities at the country level.
Discusses differences in management and technical labor availability across countries.
Identifies legal requirements concerning trans-border data flows, and discusses implications for operational processes and strategic policy.
Addresses opportunities and challenges for managing vendor relationships on a global scale.
Uses case study discussion as primary teaching method.