IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v9y1998i1p64-84.html
   My bibliography  Save this article

Integrated Modeling Environments in Organizations: An Empirical Study

Author

Listed:
  • Gordon P. Wright

    (Krannert Graduate School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Alok R. Chaturvedi

    (Krannert Graduate School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Radha V. Mookerjee

    (Information Systems Architecture, Boeing Commercial Group, Seattle, Washington 98124)

  • Susan Garrod

    (School of Technology, Purdue University, West Lafayette, Indiana 47907)

Abstract

Considerable attention in the information systems and management science literature has focused on computer-based modeling environments, sometimes called integrated modeling environments or model management systems. This research has been primarily concerned with suggesting features/components of modeling environments such as improved executable modeling languages for model creation, integration, and data representation; specialized database systems for managing model data; and customized model-solver software. However, there has been little (if any) empirical guidance offered in the literature about the specific needs of business and industry for computer-based integrated modeling environments. Using a data set compiled from a national survey of modelers (analysts) and model users (decision makers), we empirically investigate the validity of several of the key assumptions of modeling environment research reported in the literature, and examine the relationships between the modeling factors: data complexity, model complexity, modeling intensity, modeler/user requirements , and need for computer-based integrated modeling environments in organizations.Our empirical analysis of the data set shows that practitioners rank automated access to model data and automated error checking (e.g., model syntax and semantics checking) high as desirable components in modeling environments. We find that users prefer to have modeling environments linked to their current modeling and modeling-support software systems. Our findings further suggest that a high percentage of modelers and users are dissatisfied with the software systems they are currently using to support their modeling activities. Finally, a covariance structure analysis of the modeling environment factors clearly shows that: (a) model complexity has a direct positive effect on modeling intensity; (b) data complexity has an insignificant direct effect on modeling intensity, but has a negative effect on modeler/user requirements; and (c) modeler/user requirements have a direct positive effect on need for computer-based integrated modeling environments in organizations.

Suggested Citation

  • Gordon P. Wright & Alok R. Chaturvedi & Radha V. Mookerjee & Susan Garrod, 1998. "Integrated Modeling Environments in Organizations: An Empirical Study," Information Systems Research, INFORMS, vol. 9(1), pages 64-84, March.
  • Handle: RePEc:inm:orisre:v:9:y:1998:i:1:p:64-84
    DOI: 10.1287/isre.9.1.64
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.9.1.64
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.9.1.64?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arthur M. Geoffrion, 1987. "An Introduction to Structured Modeling," Management Science, INFORMS, vol. 33(5), pages 547-588, May.
    2. Jeffrey E. Kottemann & Daniel R. Dolk, 1992. "Model Integration and Modeling Languages: A Process Perspective," Information Systems Research, INFORMS, vol. 3(1), pages 1-16, March.
    3. Patrick S. McCarthy & P. K. Kannan & Radha Chandrasekharan & Gordon P. Wright, 1992. "Estimating Loyalty and Switching with an Application to the Automobile Market," Management Science, INFORMS, vol. 38(10), pages 1371-1393, October.
    4. Arthur M. Geoffrion, 1991. "FW/SM: A Prototype Structured Modeling Environment," Management Science, INFORMS, vol. 37(12), pages 1513-1538, December.
    5. Robert Fourer & David M. Gay & Brian W. Kernighan, 1990. "A Modeling Language for Mathematical Programming," Management Science, INFORMS, vol. 36(5), pages 519-554, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Srinivasan, Ananth & Sundaram, David, 2000. "An object relational approach for the design of decision support systems," European Journal of Operational Research, Elsevier, vol. 127(3), pages 594-610, December.
    2. Makowski, Marek, 2000. "Modeling paradigms applied to the analysis of European air quality," European Journal of Operational Research, Elsevier, vol. 122(2), pages 219-241, April.
    3. Kaushal Chari, 2002. "Model Composition Using Filter Spaces," Information Systems Research, INFORMS, vol. 13(1), pages 15-35, March.
    4. Dolk, Daniel R., 2000. "Integrated model management in the data warehouse era," European Journal of Operational Research, Elsevier, vol. 122(2), pages 199-218, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Srinivasan, Ananth & Sundaram, David, 2000. "An object relational approach for the design of decision support systems," European Journal of Operational Research, Elsevier, vol. 127(3), pages 594-610, December.
    2. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 2018. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 20(2), pages 275-288, April.
    3. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 0. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    4. Dolk, Daniel R., 2000. "Integrated model management in the data warehouse era," European Journal of Operational Research, Elsevier, vol. 122(2), pages 199-218, April.
    5. Makowski, Marek, 2005. "A structured modeling technology," European Journal of Operational Research, Elsevier, vol. 166(3), pages 615-648, November.
    6. Therani Madhusudan, 2007. "A web services framework for distributed model management," Information Systems Frontiers, Springer, vol. 9(1), pages 9-27, March.
    7. Rao, Harish Venkatesh & Dutta, Goutam & Basu, Sankarshan, 2014. "Database Structure for a Multi Stage Stochastic Optimization Based Decision Support System for Asset – Liability Management of a Life Insurance Company," IIMA Working Papers WP2014-06-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    8. Pedro Gazmuri & Sergio Maturana, 2001. "Developing and Implementing a Production Planning DSS for CTI Using Structured Modeling," Interfaces, INFORMS, vol. 31(4), pages 22-36, August.
    9. Kaushal Chari, 2002. "Model Composition Using Filter Spaces," Information Systems Research, INFORMS, vol. 13(1), pages 15-35, March.
    10. Maturana, Sergio & Ferrer, Juan-Carlos & Baranao, Francisco, 2004. "Design and implementation of an optimization-based decision support system generator," European Journal of Operational Research, Elsevier, vol. 154(1), pages 170-183, April.
    11. Draman, Murat & Kuban Altinel, I & Bajgoric, Nijaz & Tamer Unal, Ali & Birgoren, Burak, 2002. "A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries," European Journal of Operational Research, Elsevier, vol. 137(3), pages 483-496, March.
    12. Amit V. Deokar & Omar F. El-Gayar, 2011. "Decision-enabled dynamic process management for networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 655-668, November.
    13. Lin, Suh-Yun Elva & Schuff, David & St. Louis, Robert D., 2000. "Subscript-free modeling languages: A tool for facilitating the formulation and use of models," European Journal of Operational Research, Elsevier, vol. 123(3), pages 614-627, June.
    14. Tsai, Yao-Chuan, 2001. "Comparative analysis of model management and relational database management," Omega, Elsevier, vol. 29(2), pages 157-170, April.
    15. Huh, S. Y. & Chung, Q. B., 1995. "A model management framework for heterogeneous algebraic models: Object-oriented database management systems approach," Omega, Elsevier, vol. 23(3), pages 235-256, June.
    16. Muller, Rudolf & Muller, Stefan, 2001. "Retrieval of Service Descriptions using Structured Service Models," Research Memorandum 014, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    17. Ruth Schwartz & Frederic Murphy, 1996. "Organizing a Model Base of Linear Programming Models Using Analogical Processes," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(4), pages 217-228, December.
    18. Sen, T. K. & Chari, K., 1997. "A graphical modeling system: Applications in organizational model management," Omega, Elsevier, vol. 25(2), pages 241-253, April.
    19. Pichler, Anton & Poledna, Sebastian & Thurner, Stefan, 2021. "Systemic risk-efficient asset allocations: Minimization of systemic risk as a network optimization problem," Journal of Financial Stability, Elsevier, vol. 52(C).
    20. Gu, Jifa & Tang, Xijin, 2005. "Meta-synthesis approach to complex system modeling," European Journal of Operational Research, Elsevier, vol. 166(3), pages 597-614, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:9:y:1998:i:1:p:64-84. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.