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Generating Competitive Intelligence with Limited Information: A Case of the Multimedia Industry

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  • V. Kumar
  • Alok R. Saboo
  • Amit Agarwal
  • Binay Kumar

Abstract

Competitive intelligence is a critical component of developing and implementing organizational strategies. Although firms may obtain aggregate market‐level competitive information, resource allocation decisions such as inventory management or capacity planning are made at the individual product‐firm‐market level. Acquiring such disaggregated information about competitors across various products and markets poses significant challenges, including integrating data from different (and conflicting) information sources and updating the same continuously to reflect the changes in the market environment. To address such issues, we build on the literature on goal programming and frame the problem of generating competitive intelligence at the product‐market level as a matrix‐balancing problem, where products, firms, and markets represent the dimensions of the market‐sensing matrix. We develop a decision support system for firms to generate and update the market‐sensing matrix over time using weighted integer goal programming. Utilizing data from multiple sources (internal firm data, commercial market data, and secondary data), we create a set of linear restrictions and use goal programming approach to update the market‐sensing matrix. We demonstrate—(i) the proposed approach using data from a large multimedia firm that offers multiple products in various markets with many competitors, and (ii) benefits of implementing our approach. We find that timely recovery of disaggregated information at product‐firm‐market level assists the firm in superior resource allocation.

Suggested Citation

  • V. Kumar & Alok R. Saboo & Amit Agarwal & Binay Kumar, 2020. "Generating Competitive Intelligence with Limited Information: A Case of the Multimedia Industry," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 192-213, January.
    • Handle: RePEc:bla:popmgt:v:29:y:2020:i:1:p:192-213
    DOI: 10.1111/poms.13095
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    References listed on IDEAS

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    1. Liang Guo & Tian Li & Hongtao Zhang, 2014. "Strategic Information Sharing in Competing Channels," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1719-1731, October.
    2. Gelb, Betsy D. & Saxton, Mary Jane & Zinkhan, George M. & Albers, Nancy D., 1991. "Competitive intelligence: Insights from executives," Business Horizons, Elsevier, vol. 34(1), pages 43-47.
    3. Alok R. Saboo & Rajdeep Grewal, 2013. "Stock Market Reactions to Customer and Competitor Orientations: The Case of Initial Public Offerings," Marketing Science, INFORMS, vol. 32(1), pages 70-88, October.
    4. Vic Anand & Ramji Balakrishnan & Eva Labro, 2017. "Obtaining Informationally Consistent Decisions When Computing Costs with Limited Information," Production and Operations Management, Production and Operations Management Society, vol. 26(2), pages 211-230, February.
    5. Manfred Lenzen & Blanca Gallego & Richard Wood, 2009. "Matrix Balancing Under Conflicting Information," Economic Systems Research, Taylor & Francis Journals, vol. 21(1), pages 23-44.
    6. Olga Perdikaki & Subodha Kumar & Chelliah Sriskandarajah, 2017. "Managing Retail Budget Allocation between Store Labor and Marketing Activities," Production and Operations Management, Production and Operations Management Society, vol. 26(9), pages 1615-1631, September.
    7. Edward L. Melnick & Uri Yechiali, 1976. "Note--A Mathematical Programming Formulation of Estimation Problems Related to Contingency Tables," Management Science, INFORMS, vol. 22(6), pages 701-703, February.
    8. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    9. N. Venkatraman, 1989. "Strategic Orientation of Business Enterprises: The Construct, Dimensionality, and Measurement," Management Science, INFORMS, vol. 35(8), pages 942-962, August.
    10. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    11. Aouni, Belaid & Colapinto, Cinzia & La Torre, Davide, 2014. "Financial portfolio management through the goal programming model: Current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 234(2), pages 536-545.
    12. Zhiqiang (Eric) Zheng & Peter Fader & Balaji Padmanabhan, 2012. "From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 698-720, September.
    13. Patrick Canning & Zhi Wang, 2005. "A Flexible Mathematical Programming Model to Estimate Interregional Input–Output Accounts," Journal of Regional Science, Wiley Blackwell, vol. 45(3), pages 539-563, August.
    14. Richard Makadok & Jay B. Barney, 2001. "Strategic Factor Market Intelligence: An Application of Information Economics to Strategy Formulation and Competitor Intelligence," Management Science, INFORMS, vol. 47(12), pages 1621-1638, December.
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    Cited by:

    1. Jon Bokrantz & Jan Dul, 2023. "Building and testing necessity theories in supply chain management," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 48-65, January.
    2. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.

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