Marvin D. Troutt
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Marvin D. Troutt has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- William Acar
Kent State University
5 shared publications - Murali Shanker
Kent State University, Kent, OH, USA
2 shared publications - Parag C. Pendharkar
School of Business Administration, Pennsylvania State University at Harrisburg, Middletown, USA
2 shared publications - Alan A. Brandyberry
Department of Management and Information Systems, Kent State University, Kent, OH 44242-0001, USA
1 shared publication Brian A. Polin
1 shared publication- Changsoo Sohn
Department of Business Administration, School of Business Administration, The Catholic University of Korea, San 43-1, Yokkok 2-Dong, Wonmi-Gu, Puchon City, Gyuonggi-Do 420-743, South Korea
1 shared publication
Latest Publications
- 12 April 2012
- Published by IGI Global Scientific Publishing
- p. 24-42
Using Decision Sciences to Enhance Entrepreneurial Foresight
The theoretical simplicity of contrasting the notion of energetic search of Baron and Fiet with that of alertness (without search) of Kirzner have been winning over more complex yet more actionable formulations. In contrast, this paper introduces a less dogmatic and more actionable integrated framework that could be viewed as either passive search or active alertness. By investigates how the thinking and methods of decision sciences can assist with capturing alertness, the paper shows how foresight can be implemented in practice through a newer form of causal mapping, Acar’s Comprehensive Situation Mapping (CSM). This is an enhanced form of causal mapping that lends itself to dialectical debate and assumption analysis. It also possesses computational properties that allow it to devise and compute change scenarios. Bringing CSM into the field of entrepreneurship augments the latter’s analytical capability for opportunity recognition and contributes an actionable approach to entrepreneurial strategy selection.
- 12 April 2012
- Published by IGI Global Scientific Publishing
- p. 24-42
Using Decision Sciences to Enhance Entrepreneurial Foresight
The theoretical simplicity of contrasting the notion of energetic search of Baron and Fiet with that of alertness (without search) of Kirzner have been winning over more complex yet more actionable formulations. In contrast, this paper introduces a less dogmatic and more actionable integrated framework that could be viewed as either passive search or active alertness. By investigates how the thinking and methods of decision sciences can assist with capturing alertness, the paper shows how foresight can be implemented in practice through a newer form of causal mapping, Acar’s Comprehensive Situation Mapping (CSM). This is an enhanced form of causal mapping that lends itself to dialectical debate and assumption analysis. It also possesses computational properties that allow it to devise and compute change scenarios. Bringing CSM into the field of entrepreneurship augments the latter’s analytical capability for opportunity recognition and contributes an actionable approach to entrepreneurial strategy selection.
- 6 March 2012
- Published by Springer Nature in Annals of Operations Research
- Vol. 214 (1) , 125-141
Interactive classification using data envelopment analysis
- 6 March 2012
- Published by Springer Nature in Annals of Operations Research
- Vol. 214 (1) , 125-141
Interactive classification using data envelopment analysis
- 18 February 2012
- Published by Elsevier in Expert Systems with Applications
- Vol. 39 (10) , 9435-9442
DEA based data preprocessing for maximum decisional efficiency linear case valuation models
- 18 February 2012
- Published by Elsevier in Expert Systems with Applications
- Vol. 39 (10) , 9435-9442
DEA based data preprocessing for maximum decisional efficiency linear case valuation models
- 1 July 2011
- Published by Elsevier in European Journal of Operational Research
- Vol. 212 (1) , 155-163
DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption
- 1 July 2011
- Published by Elsevier in European Journal of Operational Research
- Vol. 212 (1) , 155-163
DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption
- Open Access
- 4 February 2011
- Published by Clute Institute in Journal of Business & Economics Research (JBER)
- Vol. 7 (10)
A Simulation Study Of Economic Production Quantity Lot Size To Kanban For A Single Line Production System Under Various Setup Times With Completion Time As Performance Metric
The Setup time variable was evaluated for the two systems (Kanban and EPQ) against the performance measure of total completion time. EPQ outperforms Kanban on total completion time. The research helped clarify for practitioners whether EPQ might be more suitable than Kanban for their given situations.
- 4 February 2011
- Published by Clute Institute in Journal of Business & Economics Research (JBER)
- Vol. 7 (10)
Open AccessA Simulation Study Of Economic Production Quantity Lot Size To Kanban For A Single Line Production System Under Various Setup Times With Completion Time As Performance Metric
The Setup time variable was evaluated for the two systems (Kanban and EPQ) against the performance measure of total completion time. EPQ outperforms Kanban on total completion time. The research helped clarify for practitioners whether EPQ might be more suitable than Kanban for their given situations.
- 18 January 2011
- Published by IGI Global Scientific Publishing
- p. 35-43
Usability, Testing, and Ethical Issues in Captive End-User Systems
- 18 January 2011
- Published by IGI Global Scientific Publishing
- p. 35-43
Usability, Testing, and Ethical Issues in Captive End-User Systems
- 18 January 2011
- Published by IGI Global Scientific Publishing
Supply Chain Globalization and the Complexities of Cost-Minimization Strategies
Supply Chain Globalization and the Complexities of Cost-Minimization Strategies: 10.4018/978-1-59140-303-6.ch006: We review the evolving literature on globalization with three aims in mind. First, we introduce the concept of globalization within the context of supply
- 18 January 2011
- Published by IGI Global Scientific Publishing
Supply Chain Globalization and the Complexities of Cost-Minimization Strategies
Supply Chain Globalization and the Complexities of Cost-Minimization Strategies: 10.4018/978-1-59140-303-6.ch006: We review the evolving literature on globalization with three aims in mind. First, we introduce the concept of globalization within the context of supply
- 18 January 2011
- Published by IGI Global Scientific Publishing
Frontier Versus Ordinary Regression Models for Data Mining
Frontier Versus Ordinary Regression Models for Data Mining: 10.4018/978-1-59140-057-8.ch002: Frontier Regression Models seek to explain boundary, frontier or optimal behavior rather than average behavior as in ordinary regression models. Ordinary
- 18 January 2011
- Published by IGI Global Scientific Publishing
Frontier Versus Ordinary Regression Models for Data Mining
Frontier Versus Ordinary Regression Models for Data Mining: 10.4018/978-1-59140-057-8.ch002: Frontier Regression Models seek to explain boundary, frontier or optimal behavior rather than average behavior as in ordinary regression models. Ordinary
- 1 August 2007
- Published by Elsevier in Computers & Industrial Engineering
- Vol. 53 (1) , 17-29
Comparison of objective criteria for set-up planning in complementary flexible manufacturing systems
- 1 August 2007
- Published by Elsevier in Computers & Industrial Engineering
- Vol. 53 (1) , 17-29
Comparison of objective criteria for set-up planning in complementary flexible manufacturing systems
- 1 October 2005
- Published by Elsevier in European Journal of Operational Research
- Vol. 166 (2) , 520-527
A distribution-free approach to estimating best response values with application to mutual fund performance modeling
- 1 October 2005
- Published by Elsevier in European Journal of Operational Research
- Vol. 166 (2) , 520-527
A distribution-free approach to estimating best response values with application to mutual fund performance modeling