From early Curiosity to space wide web: The emergence of the small satellite innovation ecosystem

Innovation ecosystems have gained significant scholarly and managerial attention. Much of the literature focuses on established ecosystems, and the limited research that examines ecosystem emergence does not dig deeper into the dynamics and challenges during the process of emergence. With a focus on the transition from birth to growth of an ecosystem, this paper fills this important gap by systematically examining how a nascent ecosystem develops into a thriving one. Employing a conceptualized composition approach, we conduct an in-depth qualitative study on the emergence of the modern small satellite ecosystem from 1981 to 2017. Our case analysis demonstrates a dynamic process through which a seed innovation gradually grows into a thriving ecosystem without a centralized sponsor. We explicate how tensions arise within an evolving ecosystem and how forces hindering specialization delay the emergence process. We then develop a process model of ecosystem emergence to conceptualize how actors gradually become specialized, how their specialization decisions coevolve with the ecosystem value proposition, and how tensions get resolved through a complex and iterative process. We contribute to the literature by advancing an evolutionary view of ecosystem emergence with an in-depth analysis of the transition from birth to growth of an ecosystem

Walking the Tightrope: Coopetition Capability Construct and Its Role in Value Creation

Prior research emphasizes the paradoxical nature of coopetition and the need for specialized capabilities—coopetition capability—to deal effectively with opportunities and challenges stemming from the simultaneous pursuit of cooperation and competition and to create superior value. However, we know little about the underlying conceptual properties of coopetition capability (construct clarity) and lack a reliable and valid scale to measure it (construct validity). We conduct a study in three phases to address this critical gap. First, building on paradox literature, we conceptualize coopetition capability as a multidimensional construct reflected by three underlying dimensions: coopetition mindset, analytical acumen, and executional skills. Second, we develop a 15-item psychometrically valid scale using a sample of 647 coopetitive alliances in high-technology sectors. Finally, using a matched sample of 536 coopetitive alliances, we extend the focal construct's nomological network by examining two relationships: coopetition experience's impact on coopetition capability and the effect of coopetition capability on the relationship between the coopetition paradox and value creation. Overall, our paper lays a foundation for deeper theory development and empirical research on coopetition by providing much-needed construct clarity and psychometrically valid measures for coopetition capability

Effect on Texas Grapefruit Sales…Point-of-Purchase Display Material.

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Measuring personal networks and their relationship with scientific production

The analysis of social networks has remained a crucial and yet understudied aspect of the efforts to measure Triple Helix linkages. The Triple Helix model aims to explain, among other aspects of knowledge-based societies, ¿the current research system in its social context. This paper develops a novel approach to study the research system from the perspective of the individual, through the analysis of the relationships among researchers, and between them and other social actors. We develop a new set of techniques and show how they can be applied to the study of a specific case (a group of academics within a university department). We analyse their informal social networks and show how a relationship exists between the characteristics of an individual¿s network of social links and his or her research output

Complementary effects of clusters and networks on firm innovation: A conceptual model

We develop a conceptual model that explains how a firm\u27s cluster and network complement each other in enhancing the firm\u27s likelihood of technological innovations. We identify critical innovation catalysts-awareness and motivation - and innovation barriers - resource constraints, organizational rigidity, and uncertainty. Our conceptual model explains how various factors in the cluster such as competitive intensity, social interaction intensity, and cluster vitality and network factors such as resource potential, acquisition orientation, co-development orientation, and network vitality impact innovation catalysts and barriers and subsequently the firm\u27s likelihood of generating incremental and breakthrough innovations. We discuss several promising avenues for future research. © 2012 Published by Elsevier B.V. All rights reserved