Radical innovation in established organizations: Being a knowledge predator

https://doi.org/10.1016/j.jengtecman.2007.01.003Get rights and content

Abstract

Considering the strategic importance of knowledge building as the roots of any radical innovation, this paper focuses on the particular position of established organizations, which are faced with the necessity to explore new and tacit knowledge, while simultaneously exploiting existing competitive advantages depending on their existing knowledge and skills. To manage this paradox, established organizations can find help in partnerships with explorative organizations complementing their exploitative core competencies. With the well-known Lotka–Volterra system, I propose a simple model to demonstrate that a predation relationship is the most relevant to acquire new knowledge from partners and thus allow radical innovation.

Introduction

Radical innovation has been proven as being more and more frequent even in very established sectors. Following the capability organizations have to face it, such a radical change can be a wonderful opportunity to capture new markets and to strengthen a dominant position as well as a threat of obsolescence for the existing business (Strebel, 1995). For an established leader, the only possibility to guarantee a leading position is to be the first on the ball. This ability to remain a leader even through radical change requires the constant acquisition of new knowledge (Drucker, 1991, Grant, 1996), in order to use it on the one hand as the motor for radical innovation and on the other hand as background to detect and evaluate the potentialities of additional new knowledge.

Being an established organization also means having an existing business that must be exploited with increasing efficiency. This exploitation of current advantages requires the maintenance and continuous improvement of existing assets that represent the core business of the organization and the recipe of its success (Marshall, 1965, Murray and Myers, 1997).

Empirical studies (Koberg et al., 2003) have demonstrated that larger and older organizations, in other words established and successful ones, manage incremental innovations rather well but are less likely able to develop radical innovations. Their existing business requires some strategic choices concerning market scope and competency management (McDermott and Colarelli O’Connor, 2002) that are more oriented towards the exploitation of existing competitive advantages.

The necessity to manage both existing and potential assets leads to a management paradox between exploration and exploitation, between radical and incremental innovations. Such a paradox has been called by other authors the “productivity dilemma” (Benner and Tushman, 2003). If all organizations are faced with this paradox, it even affects more established organizations. This paper demonstrates that such paradox can be overcome through the collaboration with more flexible organizations that can be considered as knowledge providers.

As several authors have shown (Cowan et al., 2004, Hall and Andriani, 2003, Mascitelli, 2000), knowledge triggering radical innovation is mainly tacit. The “tacit dimension” (Polanyi, 1958) of all creative processes means that they occur in an uncertain and undefined context. One understands the difficulty of knowledge transfer, mainly based on human relationships (Colarelli O’Connor and Christopher McDermott, 2004). Collaborating organizations must face Arrow's paradox (Arrow, 1963), problems of informational asymmetry (Hayek, 1945, Shapiro and Varian, 1998) and trust management (Blomqvist et al., 2005, Newell and Swan, 2000). However, regardless of the barriers, this paper shows that such relationship can be profitable for the partners.

To study knowledge building and transfer occurring through the partnering between two organizations, I use a simple formalism borrowed from biology: Lotka–Volterra system. This system allows me to analyze the impact of different types of relationships (competition, symbiosis and predation) on the building and transmission of knowledge. The focus is particularly on the predation relationship, where an established organization behaves as a “knowledge predator”, feeding itself with the knowledge produced by the other organization. I demonstrate that such a relationship allows the simultaneous management of positive and negative feedbacks in knowledge building. The resulting evolution of knowledge in both organizations is a spiral in the phase space, where I distinguish and analyze four steps. These recursive steps allow both organizations together to maintain a balance between exploration and exploitation of knowledge.

Balancing between both positive and negative feedbacks in knowledge building has been shown for long as being absolutely necessary to any organization (March and Simon, 1958, Levinthal and March, 1993, March, 1991). The balancing state between stability (negative feedback) and instability (positive feedback) is often called a state “at the edge of chaos” (Senge, 1990).

Our simple Lotka–Volterra model is a first approach of such a state that should be developed more deeply to decrypt the chaotic and quantum mechanisms presiding at radical innovation. I conclude this paper with perspectives of theoretical developments that should help to understand those management phenomena “at the edge of chaos” and to develop better management practices, as it has already been proposed by other authors (Niosi, 1999, Ottosson, 2003, Silverberg, 2002).

Section snippets

Establishing the context of the model

The reflection underlying my models finds its origin in the first generation of system science. On one hand, I considered the works of Lotka (1925), concerning the catalysis in chemical reactions, and Volterra (1926), describing the interaction between prey and predator populations. On the other hand, I oriented my research through Forrester's applications of feedback structures to study social systems dynamics (Forrester, 1961) and subsequent works of MIT researchers (Senge, 1990, Sterman, 2000

Knowledge building through different patterns of relationships

Through Lotka–Volterra system one can study different patterns of relationships between organization x and organization y. One can consider that

  • Both organizations are competing: This is modeled with negative values of both external interaction coefficients (cxy and cyx). Such a relationship can lead to several solutions after a short or long period of stable competition:

    • Maximization of one population and annihilation of the other population: This means that the first organization won the

Predation model and the knowledge spiral

In the beginning of the nineties, knowledge has been progressively recognized as a key resource of the organizations. Researchers have developed various theories and studies to understand how knowledge could be managed. A very important advance was brought by Nonaka (1994), who proposed a model to explain how knowledge is created in organizations. The difference between tacit knowledge and explicit knowledge has appeared through this model as well as the mechanisms helping knowledge creation

Conclusion

In this paper, I have studied knowledge building as the first and fundamental step of radical innovation. Considering that established organizations have to focus on their existing business, as the basis of their success, and on their exploitation skills, which constitute their main core competencies, this quest for new knowledge is an even higher challenge for them. They can compensate their rather low explorative orientation through alliances with complementary partners, i.e. more flexible

References (50)

  • R. Mascitelli

    From experience: harnessing tacit knowledge to achieve breakthrough innovation

    Journal of Product Innovation Management

    (2000)
  • R. McAdam et al.

    Sources of new product ideas and creativity practices in the UK textile industry

    Technovation

    (2002)
  • C.M. McDermott et al.

    Managing radical innovation: an overview of emergent strategy issue

    The Journal of Product Innovation Management

    (2002)
  • Th. Modis

    Genetic re-engineering of corporations

    Technological Forecasting and Social Change

    (1997)
  • S.A. Morris et al.

    Analysis of the Lotka–Volterra competition equations as a technological substitution model

    Technological Forecasting and Social Change

    (2003)
  • J. Niosi

    Fourth-generation R&D: from linear models to flexible innovation

    Journal of Business Research

    (1999)
  • I. Nonaka et al.

    SECI, Ba and leadership: a unified model of dynamic knowledge creation

    Long Range Planning

    (2000)
  • S. Ottosson

    Participation action research—a key to improved knowledge of management

    Technovation

    (2003)
  • C.W.I. Pistorius et al.

    The death knells of mature technologies

    Technological Forecasting and Social Change

    (1995)
  • C.W.I. Pistorius et al.

    Multi-mode interaction among technologies

    Research Policy

    (1997)
  • B. Quélin

    Core competencies R&D management and partnerships

    European Management Journal

    (2000)
  • J. Ramos-Martin

    Empiricism in ecological economics: a perspective from complex systems theory

    Ecological Economics

    (2003)
  • G. Silverberg

    The discrete charm of the bourgeoisie: quantum and continuous perspectives on innovation and growth

    Research Policy

    (2002)
  • P. Strebel

    Creating industry breakpoints: changing the rules of the game

    Long Range Planning

    (1995)
  • W.I. Zangwill et al.

    The learning curve: a new perspective

    International Transactions in Operational Research

    (2000)
  • Cited by (63)

    • The impact of internal control systems on the intensity of innovation and organizational performance of public sector organizations in Vietnam: the moderating role of transformational leadership

      2022, Heliyon
      Citation Excerpt :

      Since effective internal control enables organizations to establish appropriate strategic objectives, clarify the responsibilities of individual positions, increase efficiency, and mitigate conflict of interest, organizations may have additional human, material, and financial resources to innovate (Shen et al., 2020). However, Castiaux (2007) claims that ICSs do not promote or even hinder innovation since they have resulted in adverse outcomes in the knowledge generation process of innovation, preventing radical innovation. While there in an ongoing debate regarding the impact of ICSs on innovation in PSOs worldwide, our paper contributes to the ongoing debate on whether ICSs bring innovation benefits to PSOs.

    • On the coexistence of positive and negative externalities in the inter-powertrain relationships

      2020, Journal of Cleaner Production
      Citation Excerpt :

      The L-V equations were proposed by Lotka (1926) and Volterra (1927) to formulate both intra-population and inter-population interactions in a biological community (Odum et al., 2005). These equations are frequently used to various areas such as knowledge development and diffusion (e.g. Castiaux, 2007; Cerqueti et al., 2015; Mirzadeh Phirouzabadi et al., 2020a; 2020b, market formation (e.g. Kim et al., 2006), resource mobilizations (e.g. Modis, 1999; Zhang and Lam, 2017), and institutional change (e.g. Van De Klundert, 2010). Using the non-linear least-square method, the parameters were estimated and calculated via SPSS version 25 and Microsoft Excel version 16.23.

    • The evolution of dynamic interactions between the knowledge development of powertrain systems

      2020, Transport Policy
      Citation Excerpt :

      The technological system that receives knowledge spillovers from the other systems possesses a negative external interaction value (negative C). Because the system generally opens up its knowledge perspectives mostly by bringing and exploiting the newness and knowledge variety from the other systems through actions such as collaboration with their organisations and customers, employment of their human capitals, or use of their artefact and patents (Castiaux, 2007). The technological systems that spill knowledge over to the system that receives it usually possess a positive external interaction value (positive C).

    • Supportive or inhibitive? — Analysis of dynamic interactions between the inter-organisational collaborations of vehicle powertrains

      2020, Journal of Cleaner Production
      Citation Excerpt :

      Such temporal transitions occur due to the fact that the behaviour of systems towards one another changes over time. For example, systems may choose to behave as knowledge explorer (innovator) or knowledge exploiter (imitator), or a combination of both (Castiaux, 2007; Cerqueti et al., 2015; Mirzadeh Phirouzabadi et al., 2018). We, for instance, observed that the explorer powertrain of ICEV has been the prey to the exploiter powertrain of HEV in the parasitic relationship as the bridging technology has been able to not only acquire but also exploit the long knowledge development in the technological field of ICEV.

    View all citing articles on Scopus
    View full text