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Intangible Asset Dynamics and Firm Behaviour

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  • Alessandro Arrighetti
  • Fabio Landini
  • Andrea Lasagni

Abstract

We study the adoption of different patterns of intangible asset (IA) accumulation in manufacturing firms. Contrary to most of the previous literature, we find such patterns to be highly differentiated. In particular, we identify three types of firm behaviour: high and persistent, low and persistent, and discontinuous. We link the capability-based view of the firm to theories of asset complementarities and market signalling to explain how firm-specific traits affect such behaviours. We obtain the following results: first, the persistent accumulation of IAs is favoured by the internal availability of highly skilled personnel; second, firms with (a) large IA base and (b) high propensity to exploit complementarities in the asset stocks are more likely to persistently accumulate IAs than to discontinuously or never accumulate IAs and third, the adoption of quality management standards facilitates the accumulation of IAs, especially if this is done discontinuously. This paper adds to the previous literature in two ways: first, it highlights the existence of great heterogeneity in the dynamics of IA accumulation and, second, it provides an explanation for such heterogeneity.

Suggested Citation

  • Alessandro Arrighetti & Fabio Landini & Andrea Lasagni, 2015. "Intangible Asset Dynamics and Firm Behaviour," Industry and Innovation, Taylor & Francis Journals, vol. 22(5), pages 402-422, July.
  • Handle: RePEc:taf:indinn:v:22:y:2015:i:5:p:402-422
    DOI: 10.1080/13662716.2015.1064256
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    Cited by:

    1. Fabio Landini & Alessandro Arrighetti & Andrea Lasagni, 2020. "Economic crisis and firm exit: do intangibles matter?," Industry and Innovation, Taylor & Francis Journals, vol. 27(5), pages 445-479, May.
    2. Orlic, Edvard & Hashi, Iraj & Hisarciklilar, Mehtap, 2018. "Cross sectoral FDI spillovers and their impact on manufacturing productivity," International Business Review, Elsevier, vol. 27(4), pages 777-796.
    3. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. A. Arrighetti & F. Landini & A. Lasagni, 2015. "Firms’economic crisis and firm exit: do intangibles matters?," Economics Department Working Papers 2015-EP04, Department of Economics, Parma University (Italy).
    5. Cristiano Antonelli & Gianluca Orsatti & Guido Pialli, 2023. "The knowledge-intensive direction of technological change," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 1-27, March.

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    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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