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3 - PIMS and COMPUSTAT data: different horses for the same course?

Published online by Cambridge University Press:  22 September 2009

D. Eric Boyd
Affiliation:
Assistant Professor of Marketing James Madison University
Paul W. Farris
Affiliation:
Professor of Business University of Virginia's Darden Graduate School
Lutz Hildebrandt
Affiliation:
Professor of Marketing and Director of the Institute of Marketing Humboldt University of Berlin; President European Marketing Academy
Paul W. Farris
Affiliation:
University of Virginia
Michael J. Moore
Affiliation:
University of Virginia
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Summary

For researchers investigating questions related to marketing strategy and financial performance, there are few databases that are, in any way, comparable to PIMS. However, COMPUSTAT is one database that researchers have used frequently to address such questions. Other databases that provide limited additional points of comparison are that of the Inland Revenue Service (IRS) and the Federal Trade Commission (FTC) Line of Business data. In this chapter we will provide some comparisons between PIMS and COMPUSTAT data.

From the beginning, researchers were impressed by the “overwhelming superiority of PIMS data to other sources in quantity, number of measured variables, timeliness, [and the] conscientious attempt to minimize potential sources of input error” (Anderson and Paine 1978). Of course, the “timeliness” of the PIMS data is no longer a strong point and, since 1990 or so, publications of empirical findings based on the PIMS data have appeared far less frequently in major marketing and strategy journals – published articles have declined along with the size and currency of the data.

On the other hand, publications based on COMPUSTAT data are appearing with increasing frequency in marketing journals. Further, many of the issues addressed by researchers using COMPUSTAT are similar to those addressed with analyses of the PIMS data. For example, both COMPUSTAT and PIMS data have been used to study: relationships of market share, firm size, and power to profits; determinants of marketing cost ratios and media budgets; and returns from R&D and new products activities, and patents.

Type
Chapter
Information
The Profit Impact of Marketing Strategy Project
Retrospect and Prospects
, pp. 41 - 72
Publisher: Cambridge University Press
Print publication year: 2004

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References

Aaker, David A., and Jacobson, Robert. 2003. “The Value Relevance of Brand Attitude in High-Technology Markets.” Journal of Marketing Research 38 (November): 485–493CrossRefGoogle Scholar
Ailawadi, Kusum L., Borin, Norm, and Farris, Paul W.. 1995. “Market Power and Performance: A Cross-Industry Analysis of Manufacturers and Retailers.” Journal of Retailing 71 (3): 211–249CrossRefGoogle Scholar
Anderson, Carl R., and Paine, Frank T.. 1978. “PIMS: A Reexamination.” Academy of Management Review 3 (July): 602–612CrossRefGoogle Scholar
Anterasian, Cathy, and Lynn W. Phillips. 1988. “Discontinuities, Value Delivery, and the Share–Returns Association: A Re-Examination of the ‘Share-Causes-Profits’ Controversy.” Marketing Science Institute, Cambridge, MA
Armstrong, J. Scott, and Collopy, Fred. 1996. “Competitor Orientation: Effects of Objectives and Information on Managerial Decisions and Profitability.” Journal of Marketing Research 33 (2): 188–200CrossRefGoogle Scholar
Balasubramanian, Siva K., and Kumar, V.. 1990. “Analyzing Variations In Advertising and Promotional Expenditures.” Journal of Marketing 54 (April): 57–68CrossRefGoogle Scholar
Berger, Philip, and Hahn, Rebecca. 2003. “The Impact of SFAS no. 131 on Information and Monitoring.” Journal of Accounting Research 41: 163–223CrossRefGoogle Scholar
Bloom, Paul N., and Perry, Vanessa G.. 2001. “Retailer Power and Supplier Welfare: The Case of Wal-Mart.” Journal of Retailing 77 (3): 379–396CrossRefGoogle Scholar
Buzzell, Robert D. 2004. “The PIMS Program of Strategy Research: A Retrospective Appraisal.” Journal of Business Research 57: 478–483CrossRefGoogle Scholar
Deng, Zhen, and Baruch Lev. 1999. “The Valuation of Acquired R&D.” Working Paper, New York University
Dutta, Shantanu, Narasimhan, Om, and Rajiv, Surendra. 1999. “Success in High-Technology Markets: Is Marketing Capability Critical?Marketing Science 18 (4): 547–568CrossRefGoogle Scholar
Farris, Paul W., and Ailawadi, Kusum L.. 1992. “Retail Power: Monster or Mouse.” Journal of Retailing 68 (4): 351–370Google Scholar
Houston, Mark B., and Johnson, Shane A.. 2000. “Buyer–Supplier Contracts Versus Joint Ventures: Determinants and Consequences of Transaction Structure.” Journal of Marketing Research 37 (February): 1–15CrossRefGoogle Scholar
Jacobson, Robert, and Aaker, David A.. 1988. “The Strategic Role of Product Quality.” Journal of Marketing 51 (4): 31–45CrossRefGoogle Scholar
Kumar, V., Kerin, Roger A., and Pereira, Arun. 1991. “An Empirical Assessment of Merger and Acquisition Activity in Retailing.” Journal of Retailing 67 (3): 321–339Google Scholar
Marshall, Cheri T., and Buzzell, Robert D.. 1990. “PIMS and the FTC Line-of-Business Data: A Comparison.” Strategic Management Journal 11: 269–282CrossRefGoogle Scholar
Mizik, Natalie, and Jacobson, Robert. 2003. “Trading Off Between Value Creation and Value Appropriation: The Financial Implications of Shifts in Strategic Emphasis.” Journal of Marketing 67 (1): 63–77CrossRefGoogle Scholar
Ramanujam, Vaseduvan, and Venkatraman, N. 1984. “An Inventory and Critique of Strategy Research Using the PIMS Database.” Academy of Management Review 9: 138–151CrossRefGoogle Scholar
Ramaswamy, Venkatram, Gatignon, Hubert, and Reibstein, David. 1994. “Competitive Marketing Behavior in Industrial Markets.” Journal of Marketing 58 (2): 45–56CrossRefGoogle Scholar
Rust, Roland T., Moorman, Christine, and Dickson, Peter R.. 2002. “Getting Return on Quality: Revenue Expansion, Cost Reduction, or Both?Journal of Marketing 66 (October): 7–24CrossRefGoogle Scholar
Turner, Lynn E. 1999. “Making Financial Statements Real: Recent Problems In the Accounting for Purchased In-Process Research and Development.” Speech before the Software and Service Industry Analyst Group, New York (February 10)

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