Historical Method in Marketing Research with New Evidence on Long-Term Market Share Stability

By Peter N. Golder. 2000

309 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/590e9475e597fba2cd1866d841b672d9fd12213a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Gerard J. Tellis
2. Stefan Stremersch
3. Ashish Sood
4. Ruby Po Wan Lee
5. Rajdeep Grewal
6. Andre F. Maciel
7. Eileen Fischer
8. Eden Yin

In Management Science and Operations Research

1. Gerard J. Tellis
2. Stefan Stremersch
3. Ashish Sood
4. D. Mitra
5. Rajdeep Grewal
6. Eileen Fischer
7. Andre F. Maciel
8. Ruby Po Wan Lee

Citations in the corpus

• Drivers of Success for Market Entry into China and India (2007, background): “Historical analysis provides a powerful means of understanding marketing phenomena by recreating markets as they evolved (Golder 2000).”
• Strategic Responses to New Technologies and Their Impact on Firm Performance (2004, methodology): “We follow Golder (2000) and evaluate the criticality of archival data obtained from at least two different sources to ensure that at least one data source is neutral, that all data sources are reliable, and that the data sources are independent.”
• Collaborative Market Driving: How Peer Firms Can Develop Markets Through Collective Action (2020, methodology): “They are both experts in the focal phenomenon and direct witnesses, two main criteria to sample informants for historical accounts (Golder 2000).”
• The Emergence of Dominant Designs (2006, unknown): “The model specifies the effects of productmarket characteristics both on the probability of the emergence of a dominant design in a product category and on the time of the emergence of a dominant design, conditional on its emergence.”
• Technological Evolution and Radical Innovation (2005, methodology): “The benefits of using the historical method include lower survival and self-report bias, ability to assess causality through longitudinal analysis, and new insights from a fresh reading of history (Golder 2000; Tellis and Golder 1996).”
• Do Innovations Really Pay Off? Total Stock Market Returns to Innovation (2009, unknown): “On the basis of these criteria we collected data using the historical method (Golder 2000, Golder and Tellis 1993) on 19 technologies from five industries—external lighting, display monitors, computer memory, data transfer technologies, and desktop printer product categories (see Appendix A).”
• How Does Objective Quality Affect Perceived Quality? Short-Term Effects, Long-Term Effects, and Asymmetries (2006, background): “To understand such long-term aspects of the business environment, researchers have often called for more longitudinal studies (Aaker and Day 1986; Golder 2000; MSI Research Priorities 2002-2004).”
• The Incumbent's Curse? Incumbency, Size, and Radical Product Innovation (2000, unknown): “We use the historical approach to data collection (Golder 2000; Savitt 1980; Smith and Lux 1993) for three reasons.”
• The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness (2003, methodology): “As Golder and Tellis (1997) explain, takeoff is a timedependent binary event that is best modeled by the hazard model.”