Editorial

,

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 3 July 2009

380

Citation

Moutinho, L. and Huarng Huang, K. (2009), "Editorial", Journal of Modelling in Management, Vol. 4 No. 2. https://doi.org/10.1108/jm2.2009.29704baa.001

Publisher

:

Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited


Editorial

Article Type: Editorial From: Journal of Modelling in Management, Volume 4, Issue 2

Welcome to the fourth year of publication of Journal of Modelling in Management! Thanks for all your support and acceptance. This is the first regular issue of volume 4 and the content of this issue rests upon some key conceptual and methodological standards: performance and valuation, resource allocation strategies, dynamic modeling, e-supply chain modelling, aggregated probability judgements, as well as linear modeling. An interesting incisive and challenging scope for an analytical debate.

Resource scarcity is a challenge facing firms that engage in new product development (NPD) projects. Kung-Jeng Wang, Yun-Huei Lee, Sophia Wang and Chih-Peng Chu construct a research and development (R&D) process model using system dynamics to realize how resource allocation strategies affect NPD performance and which strategy is the best alternative. They develop different workload scenarios to test the relationships between resource allocation strategy and various NPD performance measures. The most important finding from simulation is that a firm should allocate its resources into early development stage first so as to obtain superior R&D performance.

Manoochehr Najmi, Rahim Ehsani, Ahmad Sharbatoghlie and Mohammad Saidi-Mehrabad develop an integrated dynamic model for evaluating the performance of research projects by using multiple attribute utility theory. They apply Delphi and group decision making for measurement. The proposed model complements and improves upon the existing models. The proposed model has been tested in an engineering research institute and the comparison was made with the results of the existing models. The advantage of proposed model is its flexibility, dynamism and the capability to revise the model based on any changes in the objectives and policies of the research center.

The paper by Jorge Verissimo Pereira makes a contribution by presenting the potentialities and pitfalls of using system dynamics discrete events simulation as a new approach for implementing an e-supply chain, specifically to implement information technology (IT) in the supply chain management strategy effectively.

Shi-Woei Lin and Chih-Hsing Cheng compare different linear opinion pooling models for aggregating probability judgments and to determine if Cooke’s performance weighting model can produce better aggregated distribution. They adopted the leave-one-out cross-validation technique to perform an out-of-sample comparison of Cooke’s classical model and other approaches. The empirical results show that both aggregation models significantly outperformed the best expert approach. The leave-one-out cross-validation technique used in this study achieves more objective evaluations than previous studies.

Liang-Tay Lin and Hung-Jen Huang develop a linear model to support decisions regarding coordination of adjacent signals. The model was calibrated by stepwise regression analysis with a total of 195 field samples. The model uses critical block length between adjacent intersections as the dependent variable; and original platoon size and platoon completeness ratio as the independent variables. To demonstrate the transferability of the model, tests have been conducted by using the field data. In addition, evaluations using microscopic simulation show that the model can objectively determine the interconnection of adjacent signals depending on traffic demands.

Hope you enjoy reading this array of modeling topics. See you at the next issue.

Luiz Moutinho, Kun Huarng Huang

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