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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.

Innovation dynamics have been the object of study of several researchers, focusing in particular on technological innovation and the emergence of a dominant design. However, these models have been challenged by how the pervasiveness of digital technologies is speeding up the pace at which innovation evolves. On the other hand, a growing body of literature in innovation management has started underlining the relevance of new product and service meanings as a source of innovation.

This research aims to study the different innovation dynamics within an industry, investigating not only how companies react to fast-changing functional advancements but rather how their behavior changes as shifts in meaning occur. To properly assess the phenomenon, this longitudinal study analyzes the social media industry, strongly subjected to continuous functional advancements, through a deep dive in the 160 innovations introduced between 2003 and 2017 by the eight leading players in the industry.

Our results illustrate the co-existence of different approaches to innovation within an industry and hint that consequent and fast cycles of innovation in both functionalities and meanings discourage the emergence of a dominant design.

Our results help managers and innovators acknowledge the possibility to leverage not just on the technological dimension of innovation but also the reason why people use a given product or service, innovating its meaning. Furthermore, our results recognize the co-existence of different innovation streams upon which innovators can act.

This research contributes to the extant literature in innovation management, extending the classical models of innovation dynamics by including the evolution of innovations of meaning in relation to technological innovation.

Prior research highlights the vital role of Information and Communication Technologies (ICT) for innovation in response to environmental conditions. However, there is a lack of studies that analyse the determinants of ICT investments on the innovation activities of firms in relation with their impacts on the industrial and competitive dynamics using large data sets. The paper aims to discuss these issues.

In this paper, the authors investigate the effects of ICT investments on the industrial and competitive dynamics for a large and representative panel data set. All the industries are included, and lagged effects of ICT investments are studied. The model is tested on a seven-year panel (2008–2014) of 231 Italian industries using two-stage least squares instrumental-variables estimators with industry time and fixed effects.

The results indicate that munificent industries and higher ICT spending are interrelated facts, showing that in sectors with more growth opportunities firms invest more in ICT and this leads to higher industry concentration, greater profit dispersion and higher competitive turbulence in the sector. Also, the paper shows that SMEs can rarely take advantage of their ICT-based innovation to start high-growth phenomena.

The results suggest that ICT-based innovation may create competitive advantages that are hard to sustain over the long-term raising important implications for managers involved in ICT-enabled innovations and policy-makers involved in building programs to foster innovation.

Against the backdrop of today’s digital transformation, the paper enriches our understanding on the disruptive effects exerted by the digitalization of the innovation process and provides a base to continue the investigation of industrial changes and competitive dynamics.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

This research aims to examine the smelter industry’s investment competitiveness in Indonesia as well as to find solutions to improve its competitive advantage for the nation.

This research applies a sequential mixed-methods approach with a second quantitative phase building on an initial first qualitative phase. The qualitative phase is conducted by interviews to find the root causes of problems as well as solutions to gain smelter industries’ competitiveness. The quantitative phase is conducted by a system dynamics model. A descriptive causal loop diagram is created based on interviews and focus group discussions to describe the problems. The concept of competitive advantage of a nation from Porter’s diamond model is applied in this research.

The results reveal the complexity of smelter industries in Indonesia. The paper also addresses the causes of problems and interaction of variables using a causal loop diagram. To gain the smelter industry’s competitiveness, this paper suggests the potential policy development to increase competitiveness of the smelter industry such as policy for different fiscal incentives to each different mineral, effective export duty and exploration obligation.

The result of this study provides a good basis for government in making policy to improve the competitive advantage of the smelter industry investment in Indonesia.

This is the first research on smelter industry competitiveness that applies Porter’s diamond model and system dynamics model to find solutions in designing appropriate policy to gain competitiveness.

This study aims to investigate the relationship between university and industry as two major infrastructures of national innovation system in all leading scientific and industrial settings.

Large complex organizations with high technology that follow non-linear dynamic rules need to define concepts and adopt new approaches to achieve organizational efficiency and effectiveness. Among various models, a dynamic model of innovation was developed based on a joint investment between industry and university. Hence, the concepts of systems thinking and system dynamics were used.

The results reveal three levels of industry and university communication from the lower levels to the higher levels.

The value of this paper lies in adding two axes of “type of relationship” and “form of relationship” to the axis of “strength of relationship”, and a static three-dimensional space as a spatial capacity of the relationship between the industry and the university has been organized. Further, this is the first study that investigates the dynamic relationship between industry and university based on the self-organization theory and system thinking.

In order to achieve a desirable level of market efficiency, regulators need to identify the strategic groups within an industry and understand the way the constituent groups relate to one another. The paper aims to discuss these issues.

In the current study, factors that may lead to strategic group formation were developed and used as clustering variables in a k-means cluster statistical analysis to categorize the firms into strategic groups. The factors used are entry costs, timing of entry, technology type and scope of operations. In addition, the number and type of competitive actions employed by the firms in the industry were identified by structured content analysis of a public source. The competitive actions were used to examine the dynamics of the resulting groups within the context of competitive behavior, resource and scope commitments and corporate social responsibility (CSR) actions. In addition, χ2 analysis was employed to ascertain the likelihood that actions of a firm will be responded to by firms from the same group or from outside the group.

License fees was found to be the most significant clustering variable. The study also showed that groups with significantly higher license fees carried out considerably more competitive actions, had higher resource and scope commitments and executed more CSR actions. In addition, the study revealed significantly more competition within strategic groups than between groups.

The absence of financial records for firms in the sample necessitated the use of CSR activity as a measure of firm performance. Some empirical studies have shown strong links between CSR and firm performance.

The study revealed high mobility barriers which prevent ease of movement of firms in the industry from one strategic group to the other. Therefore regulators who wish to promote competition must do so by identifying the strategic groups with significant market power and permitting entry not by lowering entry barriers but by allowing the entry of firms with proven resources similar to the firms in those groups and to stipulate similar commitments in entry conditions. The results also offer management practitioners an insight into competitive behavior in the industry.

The study utilized a unique data set (competitive actions of firms in the Nigerian Telecommunications industry as reported in the media) in contributing to empirical studies on competitive dynamics and strategic group literature.

The purpose of this paper is to theorize how the industry life cycle unfolds differently across places and how economic agglomeration varies over time.

The paper relies on literature review and conceptual analysis.

It generates a dynamic geographic concentration model (i.e. an industry’s degree of geographic concentration drops in the growth stage, rises in the mature stage, and drops again in the new growth stage) and a localized industry life-cycle model (i.e. temporal dynamics differ between the center and the periphery).

It makes contribution by theorizing that the extent to which an industry is geographically concentrated changes over time, and by demonstrating how an industry’s center and periphery may experience different temporal dynamics.

This paper aims to explain how the dynamic demand environment influences strategic firm behavior along an industry’s evolutionary path. A conceptual gap concerning the influence of demand-side environmental factors (vis-à-vis changes in technology and policy) on firms’ strategic choices motivates the theory developed herein. The paper’s contribution to the literature on “evolutionary perspective in strategy” also addresses an important gap in the emerging literature on “strategy dynamics”.

The conceptual framework in this paper features a dynamic demand environment that provides the structural context for firms’ strategic choices. It conceptualizes demand-side competence as a mediating firm-specific construct to explain the endogenous relationship between the characteristics of the demand environment and firms’ path dependent demand-side investments.

A review of the literature on evolutionary perspective in strategy reveals an important conceptual gap concerning the structural determinants of dynamic firm behavior. There is no explanation of the endogenous relationship between dynamic demand structure, firms’ dynamic demand-side competence, and temporally heterogeneous strategic choices.

The demand-side explanation of how idiosyncratic firm behavior is endogenously determined, with both structural characteristics (demand structure) and firm competences (demand-side competence), addresses an important conceptual gap. The novelty of the theory developed herein lies in its explication of the effect of dynamic demand environment on the evolution of idiosyncratic strategic firm behavior – entry, investment and exit – along the evolutionary path of an industry. The theory developed herein not only explains the effect of both determinants of idiosyncratic strategic firm behavior – the external industry environment (dynamic market structure) and internal firm environment (dynamic firm competences) – but also explains how the determinants evolve along the industry’s lifecycle.

The purpose of this mainly conceptual paper is to analyze key changes in the institutional setting for standardization and to discuss what they indicate about further developments of the mobile sector. The intention is that this conceptual analysis will complement and contextualize the analysis of Nordic players found in the other papers of this special issue.

The paper is concerned with issues of industrial organization. The paper presents a treatment of industrial dynamics in them mobile telecom sector and the changing role of standards in it. We approach the substantial changes in the mobile telecom sector, focusing on the correspondence of the changes in the standards system to overall industry dynamics. Empirical information from the Symbian case is used to illustrate the hypothesis of standardization process and of the industry at large.

The paper identifies changing patters in the organization of technological standardization which represents a microcosm of the larger reorganization of the sector. Nordic actors, whose present position owes much to success in linking capabilities to sequential mobile standards. The paper draws out implications of the limits to “intergenerational leveraging” in standards.

The major contribution of the paper is to focus on changes in the organization of the standardization process in order to discuss the industrial dynamics of an industry which is undergoing a period of rapid change. Its reference to industrial dynamics perspective allows it to link the literature on dominant design to the field of standards research.