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Performance persistence in the presence of higher‐order resources

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  • Phebo D. Wibbens

Abstract

Research Summary This paper presents a formal model of how higher‐order resources affect profit persistence. Higher‐order resources provide an abstract representation of dynamic capabilities, and are defined as resources that do not affect profit directly, but can affect other resources that in turn affect profit over time. The model shows that higher‐order resources lead to persistence not only in the level of profit, but also in its growth. Estimation of the model using empirical profit data of more than 4,000 U.S. firms over 30 years implies an average duration of competitive advantage of about 18 years, which is almost four times as long as implied by traditionally used autoregressive models that exclude the effect of higher‐order resources. Managerial Summary If firms want to make more profit than their competitors for prolonged periods of time, they must have access to resources that competitors cannot effectively obtain, such as brands, patents, captive customers, or specialized plants. This paper shows that not only these “operating resources” drive long‐term profit differences across firms, but also “higher‐order resources,” such as strategic planning, M&A capabilities, and superior forecasts. Such higher‐order resources do not affect profits directly, but allow firms to obtain superior operating resources over time. A mathematical model incorporating higher‐order resources suggests an average duration of competitive advantage of about 18 years, almost four times as long as implied by traditionally used models.

Suggested Citation

  • Phebo D. Wibbens, 2019. "Performance persistence in the presence of higher‐order resources," Strategic Management Journal, Wiley Blackwell, vol. 40(2), pages 181-202, February.
  • Handle: RePEc:bla:stratm:v:40:y:2019:i:2:p:181-202
    DOI: 10.1002/smj.2979
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    Cited by:

    1. Al-Gamrh, Bakr & Rasul, Tareq, 2024. "Recession-proof marketing? Unraveling the impact of advertising efficiency on stock volatility," International Review of Financial Analysis, Elsevier, vol. 92(C).
    2. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    3. Zhang, Yucheng & Hou, Zhongwei & Yang, Feifei & Yang, Miles M. & Wang, Zhiling, 2021. "Discovering the evolution of resource-based theory: Science mapping based on bibliometric analysis," Journal of Business Research, Elsevier, vol. 137(C), pages 500-516.
    4. Hsu, Bo-Xiang & Chen, Yi-Min, 2024. "Does corporate social responsibility influence performance persistence? A signal extraction approach with evidence from Fortune 500 companies," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Guerrero, Maribel & Heaton, Sohvi & Urbano, David, 2021. "Building universities’ intrapreneurial capabilities in the digital era: The role and impacts of Massive Open Online Courses (MOOCs)," Technovation, Elsevier, vol. 99(C).
    6. Sayantan Khanra & Puneet Kaur & Rojers P Joseph & Ashish Malik & Amandeep Dhir, 2022. "A resource‐based view of green innovation as a strategic firm resource: Present status and future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1395-1413, May.
    7. Hsu, Bo-Xiang & Chen, Yi-Min & Yan, Ting-Yu, 2021. "Industrial targeting and firm performance: An integrated approach to industry selection," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Hart E. Posen & Sangyoon Yi & Jeho Lee, 2020. "A contingency perspective on imitation strategies: When is “benchmarking” ineffective?," Strategic Management Journal, Wiley Blackwell, vol. 41(2), pages 198-221, February.
    9. Phebo D. Wibbens, 2021. "The role of competitive amplification in explaining sustained performance heterogeneity," Strategic Management Journal, Wiley Blackwell, vol. 42(10), pages 1769-1792, October.

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