Robustness of ordinal measures of competitive strategy variables employed in business research. A PIMS data-based analysis

Ananthanarayanan Parasuraman, P. Rajan Varadarajan

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

PIMS data for a sample of capital goods business and a series of transformations of the data generated through Monte Carlo simulation were used to examine the robustness of ordinal measures of competitive strategy variables in additive and multiplicative regression models. Ten sets of transformations were made under a variety of assumptions about the types of errors executives may make in providing ordinal estimates of their relative competitive positions. While the findings are somewhat encouraging to researchers engaged in strategy research, they also point to a need for additional methodological research in this area.

Original languageEnglish (US)
Pages (from-to)101-113
Number of pages13
JournalJournal of Business Research
Volume17
Issue number1
DOIs
StatePublished - 1988
Externally publishedYes

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Research
Economics
Research Personnel
Competitive strategy
Business research
Robustness
Regression model
Strategy research
Monte Carlo simulation

ASJC Scopus subject areas

  • Marketing
  • Applied Psychology

Cite this

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