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The purpose of this paper is to consider the management of hazards arising from the make-buy choice in the face of radical technological change. This sourcing choice can lead to distinctive exchange and hierarchical hazards. This study’s main interest is in investigating the research question “How can firms reduce those distinctive exchange and hierarchical hazards arising from the make-buy sourcing strategy when dealing with radical technological change?”

The author develops hypotheses that the in-house retention of outsourced component knowledge will likely reduce exchange hazards arising from the buy strategy choice. And prior exploratory technological experience will likely reduce hierarchical hazards arising from the make strategy choice. The author explores the US mountain bicycle industry from 1980 to 1992 to test the developed hypotheses. For endogeneity arising from the make-buy sourcing decision, the author uses Heckman’s two-stage switching regression model.

The major findings are that the in-house retention of outsourced component knowledge and prior exploratory technological experience is distinctive moderating factors improving performance of a buy strategy and a make strategy, respectively.

Since the extant literature tends to focus on which of the two sourcing strategies provides the greatest performance advantages in the face of radical technological change, there is a strong implication to suggest that if a firm performs poorly with one sourcing decision, the firm should switch to an alternative one. Different from the expositions of the literature, this study elevates the understanding regarding how firms can improve the performance of their current sourcing orientation rather than whether they should switch from one sourcing strategy to another.

Drawing on a sensemaking perspective, this study aims to theoretically and empirically investigate the effects of participative corporate political activity (PCPA) on radical innovation and how regulatory uncertainty and technological uncertainty affect firms’ choice of PCPA as well as its effectiveness on radical innovation.

Hierarchical regression analyses were conducted to test the research model based on survey data collected from 227 Chinese manufacturing firms.

The results indicate that PCPA has a significantly positive effect on radical innovation. Both regulatory and technological uncertainty are positively related to PCPA. In addition, regulatory uncertainty strengthens the positive relationship between PCPA and radical innovation, whereas technological uncertainty weakens this relationship.

This study reveals that firm managers should be mindful that PCPA is beneficial to firms’ radical innovation activities in China. Additionally, although regulatory uncertainty and technological uncertainty can drive firms to engage in PCPA to cope with the ambiguity they experienced, managers should also be alert to the complicated role of environment forces in enlarging or discounting the positive effect of PCPA on radical innovation.

The findings offer fresh insights into the use of PCPA to manage the uncertain external environment when pursuing radical innovation activities in China.

This study aims to build a theoretical model including intermediate-level outside-in marketing capabilities (ILOIMC), radical and incremental technological innovations and management innovation.

This research used 272 pairs of survey questionnaires from Chinese firms’ managers to examine the hypotheses.

The results indicate that ILOIMC enhance management innovation by stimulating radical technological innovation. Furthermore, the mediating effect of incremental technological innovation depends on technological turbulence.

This study may have several limitations which future research could try to overcome: cross-sectional data, Chinese samples, exclusive focus on ILOIMC, sociotechnical approach to innovation typology and measuring ILOIMC as a first-order variable.

ILOIMC can significantly improve innovations in technology and management systems by using customer value and market information.

This study proposes a new taxonomy to classify marketing capabilities into lower-level inside-out marketing capabilities, ILOIMC and higher-level outside-in marketing capabilities. It also provides an explicit discussion and examination of the influence of ILOIMC on technological and management innovations and the contingency effect of technological turbulence. Thus, it responds to Musarra and Morgan’s (2020) call for more research into the mechanism that explains when (the conditions under which) and how (the process by which) outside-in marketing capabilities could contribute to firm innovation.

Due to the constantly increasing competitiveness along with the complexity of knowledge, firms perceive collaboration as a key strategy that preserves firms' radical innovation performance. In this context, this paper aims to examine how firms’ partners’ diversity in open innovation activities influences the development of radical innovations, critical for social development. In particular, this study analyzes how the functional and geographical breadth of the firm’s collaboration portfolio affects its radical innovation performance. Furthermore, it also explores the role of firm size as a moderator in the relationships proposed.

This research employs panel data analysis, using a sample of 4,677 Spanish firms, with data sourced from the PITEC database.

The results of this study show that there is an inverted U-shaped relationship between the functional and the geographical breadth of collaborations and the firms’ radical innovation performance. Moreover, this study finds partial support for the moderating role of firm size, in the sense that small and medium-sized enterprises (SMEs) and large firms vary in their optimal number of diversity of partners.

This research provides a better understanding on how partners’ functional and geographical diversity, along with organizational characteristics such as firm size, affect how firms benefit from collaboration for innovation. This study shows that both SMEs and large firms experience diminishing returns when their collaboration networks become overly diverse in pursuit of radical innovation, due to increased costs. However, in SMEs, the turning point occurs at a later stage, consistent with the idea that small firms need broader functional networks to access complementary and novel resources they usually lack.

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.

Contemporary urban and regional planning practice and scholarship often fails to address the full implications of technological change (technology blindness), lacks a clear or consistent definition of the long term (temporal imprecision) and seldom uses formal foresight methodologies. Discussion in the literature of time horizons beyond 10 years is, therefore, based on profoundly unrealistic assumptions about the future. The paper aims to discuss why conventional reasoning about possible futures is problematic, how consideration of long-term timescales is informal and inconsistent and why accelerating technological change requires that planners rethink basic assumptions about the future from 2030s onward.

The author reviews 1,287 articles published between January 2010 and December 2014 in three emblematic urban and regional planning journals using directed content analysis of key phrases pertaining to long-term planning, futures studies and self-driving cars.

The author finds that there is no evidence of consistent usage of the phrase long term, that timeframes are defined in fewer than 10 per cent of articles and that self-driving cars and related phrases occur nowhere in the text, even though this technology is likely to radically transform urban transportation and form starting in the early 2020s. Despite its importance, discussion of disruptive technological change in the urban and regional planning literature is extremely limited.

To make more realistic projections of the future from the late 2020s onward, planning practitioners and scholars should: attend more closely to the academic and public technology discourses; specify explicit timeframes in any discussion or analysis of the future; and incorporate methods from futures studies such as foresight approaches into long-term planning.

This paper identifies accelerating technological change as a major conceptual gap in the urban and regional planning literature and calls for practitioners and scholars to rethink their foundational assumptions about the long-term and possible, probable and preferable futures accordingly.

This paper aims to formalize long-term trajectories of human civilization as a scientific and ethical field of study. The long-term trajectory of human civilization can be defined as the path that human civilization takes during the entire future time period in which human civilization could continue to exist.

This paper focuses on four types of trajectories: status quo trajectories, in which human civilization persists in a state broadly similar to its current state into the distant future; catastrophe trajectories, in which one or more events cause significant harm to human civilization; technological transformation trajectories, in which radical technological breakthroughs put human civilization on a fundamentally different course; and astronomical trajectories, in which human civilization expands beyond its home planet and into the accessible portions of the cosmos.

Status quo trajectories appear unlikely to persist into the distant future, especially in light of long-term astronomical processes. Several catastrophe, technological transformation and astronomical trajectories appear possible.

Some current actions may be able to affect the long-term trajectory. Whether these actions should be pursued depends on a mix of empirical and ethical factors. For some ethical frameworks, these actions may be especially important to pursue.

The purpose of this paper is to empirically examine the impact of capital investments on new capabilities development during competence‐destroying change. The moderating role of uncertainty is also explored.

This paper utilizes two distinct but related research streams; the literature on organizational capabilities and real options, to build the theory and hypotheses.

Data from a sample of 767 alliances between incumbent pharmaceutical firms and new biotechnology firms reveal that incumbent firms who increase capital investments in emerging technological domains despite the uncertainty present in them, are more likely to develop new products based on emerging technology.

The results encourage future research on the nexus of managerial cognition, capital investments, uncertainty and the adaptation process.

Extant literature implicitly suggests that capital investments are critical for developing new capabilities; yet no prior study has addressed the relationship between capital investments and new capabilities development during competence‐destroying change. This paper addresses this gap in the literature.

Technological uncertainty and technological complexity are the two dominant characteristics of new product development (NPD) projects that have a negative influence on NPD performance, relying on a strong theoretical argumentation based on organizational information processing theory. The purpose of this study is the development of reliable and valid scales for the measurement of technological uncertainty and technological complexity, especially in the context of the discontinuous technological change of digitization.

This study uses material from 44 in-depth interviews, which has been transferred into a questionnaire, and survey data from 166 respondents from the German automotive industry in charge of the development and production of electric and electronic technologies (including software). In this context, exploratory and confirmatory factor analyses are used to test the developed scales for reliability and validity.

In this context, it can be stated that the developed scales affirm reliability and validity sufficiently. Interestingly, novelty, regarded as key item for measuring technological uncertainty, has to be dropped, as the factor loadings are under the cut-off of 0.40. Moreover, resulting items for measuring technological uncertainty and technological complexity do not deviate significantly from those discussed in previous study before the discontinuous technological change of digitization occurred.

This paper provides value for the discussion on how to measure technological uncertainty and technological complexity, especially in times of radical technological changes.

Information systems (IS) are technology‐based innovations. Argues for the need to develop an approach to IS research based on studies of technological innovation in the social sciences. While research on the adoption and diffusion of innovations has become a popular approach to implementation and use issues in IS research, IS research projects should be aware of both the strengths and limitations of traditional approaches to technological innovation, and should consider building upon newer approaches that address these limitations. Identifies alternative assumptions about the innovation process that are developing across a range of technological innovation studies, and offers examples of how these ideas can be used in IS research.