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Cited by 152Digital Platforms and EconomicsConsumer Market Behavior and PricingCopyright and Intellectual Property

Economics of Free Under Perpetual Licensing: Implications for the Software Industry

Niculescu, Marius F., Wu, D. J.·2014·Information Systems Research
DOI 10.1287/isre.2013.0508
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Abstract

In this paper, we explore the economics of free under perpetual licensing. In particular, we focus on two emerging software business models that involve a free component: feature-limited freemium (FLF) and uniform seeding (S). Under FLF, the firm offers the basic software version for free, while charging for premium features. Under S, the firm gives away for free the full product to a percentage of the addressable market uniformly across consumer types. We benchmark their performance against a conventional business model under which software is sold as a bundle (labeled as “charge for everything” or CE) without free offers. In the context of consumer bounded rationality and information asymmetry, we develop a unified two-period consumer valuation learning framework that accounts for both word-of-mouth (WOM) effects and experience-based learning, and use it to compare and contrast the three business models. Under both constant and dynamic pricing, for moderate strength of WOM signals, we derive the equilibria for each model and identify optimality regions. In particular, S is optimal when consumers significantly underestimate the value of functionality and cross-module synergies are weak. When either cross-module synergies are stronger or initial priors are higher, the firm decides between CE and FLF. Furthermore, we identify nontrivial switching dynamics from one optimality region to another depending on the initial consumer beliefs about the value of the embedded functionali…

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Crossref · 10.1287/isre.2013.0508

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  • The existing literature has examined freemium design primarily through theoretical models analyzing feature-gating versus usage-limiting strategies in isolation.

    “The existing literature has examined this question primarily through theoretical models analyzing featuregating versus usage-limiting strategies in isolation (Niculescu & Wu, 2014;Kato & Dumrongsiri, 2022;Shi et al., 2019)”

    From Scaling a SaaS Business: The Role of Freemium Models in Converting Free Users to Paying Customers (2026) · cites this paper as Niculescu & Wu, 2014

  • The specific mechanisms through which network effects interact with conversion pressure in SaaS contexts remain underspecified.

    “Third, while the role of network effects in freemium strategy is theoretically well established (Boudreau et al., 2022;Niculescu & Wu, 2014), the specific mechanisms through which network effects interact with conversion pressure in SaaS contexts remain underspecified.”

    From Scaling a SaaS Business: The Role of Freemium Models in Converting Free Users to Paying Customers (2026) · cites this paper as Niculescu & Wu, 2014

  • The finding that hybrid freemium models outperform single-dimension models is consistent with the theoretical logic that the optimal freemium design depends on consumer heterogeneity.

    “This finding is consistent with the theoretical logic of Niculescu and Wu (2014), who demonstrated that the optimal freemium design depends on consumer heterogeneity.”

    From Scaling a SaaS Business: The Role of Freemium Models in Converting Free Users to Paying Customers (2026) · cites this paper as Niculescu and Wu (2014)

  • The optimal freemium design depends on consumer heterogeneity.

    “the optimal freemium design depends on consumer heterogeneity”

    From Scaling a SaaS Business: The Role of Freemium Models in Converting Free Users to Paying Customers (2026) · cites this paper as Niculescu and Wu (2014)

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Related

Authors
Niculescu, M. F., & Wu, D. J.
Affiliations
Georgia Institute of Technology (US)
ORCID
Venue
Information Systems Research
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Published
2014-03
Volume
25
Issue
1
Pages
173-199
ISSN
  • 1047-7047 (ISSN-L)
  • 1526-5536
DOI
10.1287/isre.2013.0508
OpenAlex
W3123695987
Cited by
151
References
71
Citations by year
2026: 11 · 2025: 11 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 13 · 2020: 17 · 2019: 19 · 2018: 12 · 2017: 14 · 2016: 13 · 2015: 5 · 2014: 3 · 2013: 3 · 2012: 1
FWCI
35.83
Type
journal article
Language
en
Open access
closed
Locations
Information Systems Research (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Marketing › Copyright and Intellectual Property
Keywords
freemium model, software business models, bounded rationality, information asymmetry, word-of-mouth effect, experiential learning, price skimming, penetration pricing, dynamic pricing, software pricing

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