Competitive dynamics inquiry originates from a sequence of attacks and counterattacks among firms in an industry. Firms attack and respond to attacks of rivals in order to strengthen or defend their competitive position within their competitive space. Competitive dynamics research is thus centered on the analysis of how the firm’s actions affect rivals’ reactions and performance. Actually, the nature of competitive dynamics research is the open recognition that firm strategies are “dynamic”: Strategic actions initiated by one firm may trigger a series of actions among rival firms. The new competitive environment in many industries has generated the inception of furious competition, emphasizing flexibility, speed, and innovation in response to fast-changing technological and institutional conditions and temporary competitive advantages. The key constructs and the intellectual roots of competitive dynamics (i.e., Schumpeter’s theory of creative destruction and industrial organization economics and related oligopoly theories) offer some practical examples of industry and firm cases where competitive dynamics have found their main applications. The relevant underpinnings of the awareness–motivation–capability (AMC) framework provide an integrative model of the key behavioral drivers that shape a competitive actions and responses framework (i.e., the factors influencing the firm’s awareness of the context; the factors inducing or impeding the motivation of firms to respond to competitors’ action; and the capability-based factors affecting the firm’s ability to undertake actions), the three key attributes (i.e., the specific actions of firms in the industry, the firm’s competitive interdependence, and the antecedents and performance implications of firms’ competitive actions and reactions), and the three main levels of analysis used in competitive dynamics literature (i.e., action-level studies, business-level studies, and corporate-level studies). Some insights regarding the relationship between dynamic competition and the sources of temporary competitive advantage, coopetition dynamics, as well as the kind of accelerated competition epitomizing early 21st-century digital dynamics settings update the traditional competitive dynamics flavor, as they are connected with firms’ strategic interaction and the pursuit of temporary advantages.
Claudio Giachetti and Giovanni Battista Dagnino
Ray Noorda, the former CEO of Novell Inc., first coined the term “coopetition” in 1992 to describe a common phenomenon in the computer industry: cooperation between competitors. This phenomenon is inconsistent with classical economic and business theory going as far back as Adam Smith, who viewed the production system as based on a separation between suppliers and buyers. Micro-economists have traditionally viewed the firm as buying raw materials and components from suppliers, producing finished goods, and selling those goods in competition with other firms to a different set of firms or consumers. However, starting in the 1990s, research on forms of cooperative relationships between competitors became very common. The most common types are (a) competing firms engaging in horizontal alliances along the same level of the value chain and (b) vertical cooperation along different levels of the value chain between suppliers and firms in the focal industry or between customers and firms. In the last 25 years, there has been a great increase in research on coopetition. In a systematic literature review conducted in 2014, one researcher found over 130 academic articles in more than 80 academic publications published since 1996. The majority of the research to date has been qualitative, with many cases studied conducted. A number of special issues in academic journals have been devoted to the topic in general or to special topics concerning coopetition. The Strategic Management Journal organized a special issue in 2018 on the interplay of competition and cooperation, and a number of workshops have been held on coopetition strategy and innovation.
The Resource-Based View of the firm (RBV) is a set of related theories sharing the assumptions of resource heterogeneity and resource immobility across firms. In this view, a firm is a bundle of resources, capabilities, or routines which create value and cannot be easily imitated or appropriated by competitors due to isolating mechanisms. Grounded in the economic traditions of the “Chicago School” of economic efficiency, the “Austrian School” of economics, and organizational economics, the RBV comprises theories that explain the existence of (sustained) competitive advantage and of economic rents. Empirical research from this perspective addresses both firm performance and firm behavior at the level of business strategy (e.g., within-industry competition) and corporate strategy (e.g., acquisitions). Initially developed through a series of papers by several authors in the 1980s–1990s, major extensions and refinements of the RBV include the knowledge-based view of the firm (KBV), dynamic capabilities, and the relational view, which recognizes capabilities can be developed and shared through alliances between firms.
Nydia MacGregor and Tammy L. Madsen
Regulatory shocks, either by imposing regulations or easing them (deregulation), yield abrupt and fundamental changes to the institutional rules governing competition and, in turn, the opportunity sets available to firms. Formally, a regulatory shock occurs when jurisdictions replace one regulatory system for another. General forms of regulation include economic and social regulation but recent work offers a more fine-grained classification based on the content of regulations: regulation for competition, regulation of cap and trade, regulation by information, and soft law or experimental governance. These categories shed light on the types of rules and policies that change at the moment of a regulatory shock. As a result, they advance our understanding of the nature, scope, magnitude, and consequences of transformative shifts in rules systems governing industries. In addition to differences in the content of reforms, the assorted forms of regulatory change vary in the extent to which they disrupt an industry’s state of equilibrium or semi-equilibrium. These differences contribute to diverse temporal patterns or dynamics, an area ripe for further study. For example, a regulatory shock to an industry may be followed by rapid adjustment and, in turn, a new equilibrium state. Alternatively, the effects of a regulatory shock may be more enduring, contributing to ongoing dynamics and prolonging an industry’s convergence to new equilibrium state. As such, regulatory shocks can both stimulate ongoing heterogeneity or promote coherence within and among industries, sectors, organizational fields, and nation states. It follows that examining the content, scope, and magnitude of regulatory shocks is key to understanding their impact. Since conforming to industry regulation (deregulation) increases economic returns, firms attempt to align their policies and behaviors with the institutional rules governing an industry. Thus, regulatory shocks stimulate the evaluation of strategic choices and, in turn, impact the competitive positions of firms and the composition of industries. Following a shock, at least two generic cohorts of firms emerge: incumbents, which are firms that operated in the industry before the change, and entrants, which start up after the change. To sustain a position, entrants must build capabilities from scratch whereas incumbents must replace or modify the practices they developed in the prior regulatory era. Not surprisingly, the ensuing competitive dynamics strongly influence the distribution of profits observed in an industry and the duration of firms’ profit advantages. Our review highlights some of the prominent areas of research inquiry regarding regulatory shocks but many areas remain underexplored. Future work may benefit by considering regulatory shocks as embedded in a self-reinforcing system rather than simply an exogenous inflection in an industry’s evolutionary trajectory. Opportunities also exist for studying how the interplay of industry actors with actors external to an industry (political, social) affects the temporal and competitive consequences of regulatory shocks.
Cristina Chaminade and Bengt-Åke Lundvall
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Business and Management. Please check back later for the full article. Scientific advance and innovation are major sources of economic growth and are crucial for making social and environmental development sustainable. A critical question is if private enterprises invest sufficiently in research and development and, if not, to what degree and how governments should engage in the support of science and innovation. While neoclassical economists point to market failure as the main rationale for innovation policy, evolutionary economists point to the role of government in building stronger innovation systems and creating wider opportunities for innovation. Research shows that the transmission mechanisms between scientific advance and innovation are complex and indirect. There are other equally important sources of innovation, including experience-based learning. Innovation is increasingly seen as a systemic process where the feedback from users needs to be taken into account when designing public policy. Science and innovation policy may aim at accelerating knowledge production along well-established trajectories or at giving new direction to the production and use of knowledge. It may be focused exclusively on economic growth, or it may give attention to the impact on social inclusion and the natural environment. An emerging topic is the extent to which national perspectives continue to be relevant in a globalizing learning economy facing multiple global complex challenges, including the issue of global warming. Scholars point to a movement toward transformative innovation policy and global knowledge sharing as a response to current challenges.