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The extant “supply‐side” frameworks of industry evolution fail to predict the evolutionary patterns in industries based on systemic technologies. This paper aims to describe the complex demand environment in industries based on systemic technologies and to explain how the continuously evolving demand structure influences the choice and level of firm investments in the above context.

The paper identifies a conceptual gap in the “technology‐centric” literature on industry evolution by conducting a detailed interpretive survey of the literature that focuses on the demand‐side determinants of firm‐ and industry‐level technological processes underlying industry evolution, and co‐evolution of the technological system underlying an industry and the consumer applications based on the same.

The paper provides a set of empirically verifiable mechanisms to explain competing firms' choice and level of investment under conditions of technological and demand uncertainty in industries based on systemic technologies. On one hand, firms' investments influence the evolution of both the technological system(s) and their constituent components that underlie such industries and, on the other, firms' investments influence the consumption of the array of consumer applications that are generated in these industries.

The theoretical explanation provided herein not only enhances the understanding of the role of demand‐side factors as determinants of rate and direction of technological advances but also lies central to the understanding of the evolution of industries based on systemic technologies. More specifically, the paper explains how the interaction between continuously evolving demand structure in the downstream market(s) for consumer applications and the technological components comprising the technological system influences competing firms' choice and level of investments.

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyota's supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

The thought and rationale of sustainable competitive advantage in strategy are significantly influenced by the Schumpeterian models of dynamic competition in IO and evolutionary economics. Yet, most analytical accounts of sustainable competitive advantage fail to explain how firms' investment choices influence, and are simultaneously influenced by, the co‐evolution of “external” industry competition and “internal” firm competences. This paper aims to contribute to the development of a theory of endogenous market structure in strategy.

Two alternative assumptions are developed – concerning temporally heterogeneous firm investment strategy – that lie central to a proposed behavioral theory of endogenous market structure. Additionally, a theoretical description is provided of the endogeneity of the demand‐side determinants of firm investment strategy and industrial market structure. Finally, guidelines are provided for empirical application of [incorporating] the alternative assumptions and theoretical arguments.

It is expected that the theoretical arguments in the paper will influence strategy scholars to develop dynamic models of firm performance that render themselves amenable to sound empirical analyses.

The paper contributes towards developing a theory of endogenous market structure in strategy.

This paper aims to contribute to understanding of strategy development by reporting a detailed case study of one pharmaceutical company over an 11‐year period using a framework for classifying strategic actions developed from a broader study of strategic behaviour in the industry.

The paper utilises a longitudinal text analysis using published documentary sources to explore the strategic actions and grand strategies realised by Bioglan during 1992‐2002.

The findings develop concepts from the economics, ecology and strategy literature in order to highlight that, rather than strategy research focusing on “with whom and how do firms compete?” the emphasis should be on “with whom and how do firms co‐evolve?”

The paper only explored the realised strategies of one firm during an 11‐year period using only published documentary sources.

Previous research does not appear to have explored the evolution and co‐evolution of a firm's strategic actions prior to its death, a gap that this paper aims to help to fill.

How does the interaction between time and knowledge affect the evolution of organizations? Past research in organizational evolution has mostly investigated time and knowledge as two separate variables. In contrast, theoretical perspectives integrating these variables are still seemingly scant. The authors believe that filling this literature gap needs attention. Thus, this study aims to contribute by developing a conceptual framework.

This is a conceptual study. The framework is centred on the concept of “co-evolutionary time”, which the authors explain through a business example from the tourism industry. Supported by a narrative-based style, from a methodological point of view the framework is featured by the attempt to synthesize specific, extant literature into new theoretical development.

As its main theoretical contribution, the co-evolutionary time suggests how firms can adapt in a way that, from an evolutionary perspective, proves fitting both in terms of contents and methods, thus opening possibilities for new long-term social construction and reconstruction. As its main practical contribution, co-evolutionary time can constitute not only a temporary source of organizational success and competitive advantage but also an agent of enduring change and long-term business survival.

As its main novelty, the framework is developed through merging two literature streams. In particular, the authors first consider the literature about time, with a focus on its objective and subjective dimensions. The authors then consider the literature about organizational evolution, with a focus on the co-evolutionary nature of the firm/environment relationship.

The purpose of this paper is to investigate entrepreneurs’ network evolution in the start-up phase.

Based on the case studies of six fashion start-up firms, this study uses a three-dimensional perspective on social capital (structural, relational, cognitive) to investigate entrepreneurs’ network evolution (i.e. initiation of new relationships) in the start-up phase so as to acquire resources and support for firms’ goals. The study focuses particularly on the understudied cognitive dimension of social capital. The fashion industry provides a relevant research setting because it is characterised by changes in demand, which generate opportunities for entrepreneurship.

The findings show that the display of cognitive attributes is important for the creation of structural social capital (the establishment of new relationships). The findings also indicate that relationships initiated based on the cognitive dimension have a high probability of developing into embedded relationships, thereby becoming high in the relational dimension and providing access to private information containing referrals to other actors. Thus, these relationships also promote the continued development of the structural dimension.

The findings imply that the entrepreneurs’ sets of cognitive attributes constitute an important asset in the creation of social capital. They also point to the importance of signalling these values to potential resource holders. Relationships initiated through the display of cognitive attributes can provide resources without requiring immediate economic remuneration.

Traditionally, organizational evolution has been forgotten and only recently has it been analyzed by evolutionary theories: evolutionary economics and organizational ecology. According to the evolutionary economics the evolution of the firm is drawn as a process of individual adaptation running parallel to the evolution of environment. However, population ecology suggested that organizations have not the ability to adapt themselves and the process of organizational evolution is out of the organizational field. So, the adjustment to changed environmental conditions is achieved largely by the death of old organizations and the birth of new ones. We propose a model of organizational evolution combining the adaptation perspective ‐‐ evolutionary economics ‐‐ and the selection one ‐‐ population ecology of organizations. The adaptative ability lies in the endowment resource and capabilities that managers build using organizational capabilities.

Although digital platforms have become important to organizations and society, little is known about how platforms evolve over time. This is particularly true for early-stage platforms provided by entrepreneurial firms competing in nascent markets. This study aims to investigate the relationship between a platform provider's mission and the evolution of its digital platform.

This study conducted an exploratory, multi-case study of startups in the emerging health/fitness wearables market over the period 2007 to 2016.

This study emerged two organizational mission constructs – consistency and specificity – and two evolutionary dynamics of digital platforms – unity and evolution rate. It also considered unity and evolution rate in terms of features created by the platform provider and features connected by external parties. This study found relationships between aspects of mission consistency and platform unity and identified relationships between aspects of mission specificity and platform evolution rates.

This study formalized findings into a set of theoretical propositions, thereby enriching the understanding of the relationship between organizational mission and digital platform evolution in nascent markets. This study provides new constructs and relationships that can be tested and refined in future research.

Purpose – This chapter is intended to encourage comparative-historical research in strategy by articulating a framework for the study of industry and firm evolution.

Design/methodology/approach – Strategy research at its core tries to explain sustained performance differences among firms. This chapter argues that one, out of the many ways to create a productive marriage between strategy research and historical scholarship, is to carry out historically informed comparative studies of how firms and industries gain and lose their competitive position. While much of current strategy research adopts a large N hypothesis testing mode with the implicit assumption that one discovers generalization just like a Newtonian law such as F=m×a that applies across all space and time, an historically grounded methodology starts from the opposite direction. It assumes that a process or event may be idiosyncratic and therefore seeks to establish with detailed evidence that a 2nd (and later 3rd, 4th, … nth) process or event is indeed similar before generalizing across observations.

Findings/originality/value – The chapter argues that the field of strategy would benefit from allocating more effort on building causal generalizations inductively from well-researched case studies, seeking to establish the boundary conditions of emerging generalizations. It articulates a comparative research program that outlines such an approach for the arena of industry and firm evolution studies.

The author invokes the concept of strategic adaptation to first specify the evolutionary as well as the strategic character of the causal mechanism (“intra-industry exit”), and second to explain its effect on the evolution of firms' within-industry geographic scope. The author reconciles the two competing logics for firm behavior – strategic choice and environmental selection – that underpin alternate explanations for the relationship between intra-industry exit and the evolution of geographic scope. This paper contributes to both theory and empirics concerning the dynamics of firms' competitive scope, in general, and within-industry geographic scope, in particular.

The US long-distance telecom services industry during the period 1984–1996, which satisfies the empirical requirements of a geographically fragmented industry characterized by demand-side heterogeneity across the submarkets, provides the research setting and panel data to test the empirical hypotheses.

The author finds that while the firms' overall performance influences their intra-industry exit decisions, it is the firm-in-market performance that influences their decision to exit a specific submarket. The author also finds that intra-industry exit decision, when influenced by firm performance, does lead to reduction in geographic scope.

This context-specific theory, which conceptualizes the dynamics of firms' geographic scope as an evolutionary process, explains the temporal change in the geographic scope of firms during the latter part of the demand growth stage of a geographically fragmented industry.

This analysis of the demand-side dynamics of firms' within-industry geographic scope focuses on the hypothetical causal effect of intra-industry exit, a pervasive business phenomenon. First, the demand-side analysis of the evolution of geographic scope is grounded in a theoretical framework that melds firm dynamics with submarket dynamics and industry dynamics. Second, this analysis explicates the demand-side underpinnings of the strategic adaptive mechanism.