Browsing by Author "Srivastava, Manish Kumar"
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- The Effects of Coopetition and Coopetition Capability on Firm Innovation PerformancePark, Byung-Jin Robert (Virginia Tech, 2011-05-11)This dissertation is motivated by two research questions: 1) to what extent does coopetition impact firm innovation performance? and 2) to what extent does a firm's coopetition capability influence the relationship between coopetition and firm innovation performance? Despite the popularity of coopetition in both the academic and business arenas, empirical studies on the effects of coopetition on firm innovation performance are rare. With the dynamic and paradoxical nature of coopetition, the role of a firm's specific capability to manage coopetition (i.e., coopetition capability) is an important issue that has remained under-researched in the literature. In an endeavor to contribute to the coopetition literature in the context of technological innovation, both theoretical and methodological improvements were pursued for this dissertation. From a theoretical perspective, I conceptualize coopetition as composed of three components: 1) competition between partners, 2) cooperation between partners, and 3) the interplay between competition and cooperation. It is argued that the balance between competition and cooperation is essential to generate greater innovation performance in the paradoxical relationship. Further, I newly conceptualize coopetition-based innovation that is composed of three components: 1) joint innovation, 2) innovation through knowledge application, and 3) innovation in the partner's domains. Methodologically, I measure coopetition as a continuous variable. Using both a longitudinal research design in the semiconductor industry and an exemplar case study of coopetition, I examine the effects of coopetition and coopetition capability on coopetition-based innovation. To represent coopetition, I employed four combinations with two types of competition (technology competition and market competition) and two types of cooperation (type strength of a focal alliance and tie strength between partners). The empirical evidence indicates that the balance between competition and cooperation at both the dyadic and portfolio levels increases the potential of firms to generate greater innovation performance from coopetition. This study demonstrates that firms with coopetition capabilities can manage coopetition and create greater common value with a partner and appropriate more value from the dynamic and paradoxical relationship. The research findings also have important managerial implications.
- Friends or Neighbors? The Effects of Inter-firm Networks and Clusters on Technological Innovations in the U.S. Semiconductor IndustrySrivastava, Manish Kumar (Virginia Tech, 2007-09-26)This dissertation is motivated by an overarching research question: How do firms leverage external resources residing in their ego network (portfolio of alliances) and their clusters in order to innovate in a sustained manner? Research suggests that firms often struggle and falter in their innovation efforts. However, past research has paid little systematic attention on why firms struggle in their innovation efforts. Further, though network and clusters—the key sources of external resources—may overlap in several ways, the extant literature has not examined their joint effect on a firm's technological innovation. In this dissertation, using a longitudinal research design I examine how the characteristics of a firm's ego network and of its cluster independently and jointly impact its patent output in the U.S. semiconductor industry. The research provides a framework showing how networks and clusters may work in tandem in helping a firm overcome innovation barriers. The study demonstrates how firms can leverage network and cluster resources. The empirical evidence indicates that the efficacy of cluster resources increases in the presence of network ties within the cluster. It also shows that firms can mobilize resources of distant clusters using their network ties. The study further demonstrates that resource-rich firms leverage networks resources more effectively than the resource-deficient firms do while resource-deficient firms leverage cluster resources more effectively than the resource-rich firms do. The dissertation makes important theoretical and empirical contributions to alliance, network, cluster, and innovation literatures. The research findings also have important managerial implications.
- The Impact of Varied Knowledge on Innovation and the Fate of OrganizationsAsgari, Elham (Virginia Tech, 2019-08-02)In my dissertation, I examine varied types of knowledge and how they contribute to innovation generation and selection at both the firm and the industry level using the emerging industry context of small satellites. My research is divided into three papers. In Paper One, I take a supply-demand perspective and examine how suppliers of technology—with their unique knowledge of science and technology—and users of technology—with their unique knowledge of demand—contribute to innovation generation and selection over the industry lifecycle. Results show that the contributions of suppliers and users vary based on unique aspects of innovation, such as novelty, breadth, and coherence – and also over the industry life cycle. In Paper Two, I study how firms overcome science-business tension in their pursuit of novel innovation. I examine unique aspects of knowledge: scientists' business knowledge and CEOs' scientific knowledge. I show that CEOs' scientific knowledge is an important driver of firms' novel pursuits and that this impact is higher when scientists do not have business knowledge. In the third paper, I further examine how scientists with high technological and scientific knowledge—i.e., star scientists—impact firm innovation generation and selection. With a focus on explorative and exploitative innovation, I develop theory on the boundary conditions of stars' impact on firm level outcomes. I propose that individual level contingencies—i.e., stage of employment—and organizational level contingencies—explorative or exploitative innovation—both facilitate and hinder stars' impact on firms' innovative pursuits.