102,632 research outputs found

    Toward a process theory of entrepreneurship: revisiting opportunity identification and entrepreneurial actions

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    This dissertation studies the early development of new ventures and small business and the entrepreneurship process from initial ideas to viable ventures. I unpack the micro-foundations of entrepreneurial actions and new ventures’ investor communications through quality signals to finance their growth path. This dissertation includes two qualitative papers and one quantitative study. The qualitative papers employ an inductive multiple-case approach and include seven medical equipment manufacturers (new ventures) in a nascent market context (the mobile health industry) across six U.S. states and a secondary data analysis to understand the emergence of opportunities and the early development of new ventures. The quantitative research chapter includes 770 IPOs in the manufacturing industries in the U.S. and investigates the legitimation strategies of young ventures to gain resources from targeted resource-holders.Open Acces

    A Conceptual Framework of Reverse Logistics Impact on Firm Performance

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    This study aims to examine the reverse logistics factors that impact upon firm performance. We review reverse logistics factors under three research streams: (a) resource-based view of the firm, including: Firm strategy, Operations management, and Customer loyalty (b) relational theory, including: Supply chain efficiency, Supply chain collaboration, and institutional theory, including: Government support and Cultural alignment. We measured firm performance with 5 measures: profitability, cost, innovativeness, perceived competitive advantage, and perceived customer satisfaction. We discuss implications for research, policy and practice

    Sustainable and traditional product innovation without scale and experience, but only for KIBS!

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    This study analyzes the ideal strategic trajectory for sustainable and traditional product innovation. Using a sample of 74 Costa Rican high-performance businesses for 2016, we employ fuzzy set analysis (qualitative comparative analysis) to evaluate how the development of sustainable and traditional product innovation strategies is conditioned by the business’ learning capabilities and entrepreneurial orientation in knowledge-intensive (KIBS) and non-knowledge-intensive businesses. The results indicate two ideal strategic configurations of product innovation. The first strategic configuration to reach maximum product innovation requires the presence of KIBS firms that have both an entrepreneurial and learning orientation, while the second configuration is specific to non-KIBS firms with greater firm size and age along with entrepreneurial and learning orientation. KIBS firms are found to leverage the knowledge-based and customer orientations that characterize their business model in order to compensate for the shortage of important organizational characteristics—which we link to liabilities or smallness and newness—required to achieve optimal sustainable and traditional product innovation.Peer ReviewedPostprint (published version

    Making Immigrant Rights Real

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    This is an overview of Ireland's changed migration landscape, followed by a description of The One Foundation's (OF) thinking on measures to effect change in response to a growing immigrant population, and the investments made to achieve its goal -- to make immigrant rights real in Ireland. A case study of an investment in the Migrant Rights Centre Ireland (MRCI) follows to provide a deeper understanding of some advocacy approaches taken, their impact, and lessons learned

    The Ethical Dilemma of Information Asymmetry in Innovation: Reputation, Investors and Noise in the Innovation Channel.

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    A sufficient and steady stream of innovations is widely seen as a basis for healthy modern economies. Governments divert substantial resources from other purposes in society to increase innovation. Yet the failure rate among innovative SMEs is high, suggesting that resources are wasted. Avoiding such waste is a challenge for both governments and investors, but also raises a question for the innovative company, namely how to build and fund the\ud enterprise on an ethical basis. The dilemma of giving in to temptations to ‘cut corners’ clearly exists, for example to exploit the inevitable asymmetry of information arising in innovation and potentially deploy this in support of misleading claims about specific capabilities and/or the unjustified creation and exploitation of reputation. This is consistent with Olaf Fisscher’s finding that entrepreneurs starting new ventures tend to exhibit an inherent bias towards compromising their own values in order to succeed at any cost. When the innoSME’s aspirations are unrealistic or the proposed innovations are of marginal value, the ethical issues are broader and extend also to those who are potential financiers. Noting this as a gap in the ethics literature, we argue that the current situation fails to match economic and ethical ideals and that work is needed to develop tools which allow those who provide finance and support for innovation to target it more effectively at those who have a prospect of successfully launching genuine innovations and thus reduce the ‘noise’ in the innovation field

    Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance

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    This paper aims to explore in depth how internal and external knowledge-based drivers actually affect the firms\u2019 green innovation performance. Subsequently, this study analyzes the relationships between absorptive capacity (internal knowledge-based driver), relationship learning (external knowledge-based driver) and green innovation performance. This study relies on a sample of 112 firms belonging to the Spanish automotive components manufacturing sector (ACMS) and uses partial least squares path modeling to test the hypotheses proposed. The empirical results show that both absorptive capacity and relationship learning exert a significant positive effect on the dependent variable and that relationship learning moderates the link between absorptive capacity and green innovation performance. This paper presents some limitations with respect to the particular sector (i.e. the ACMS) and geographical context (Spain). For this reason, researchers must be thoughtful while generalizing these results to distinct scenarios. Managers should devote more time and resources to reinforce their absorptive capacity as an important strategic tool to generate new knowledge and hence foster green innovation performance in manufacturing industries. The paper shows the importance of encouraging decision-makers to cultivate and rely on relationship learning mechanisms with their main stakeholders and to acquire the necessary information and knowledge that might be valuable in the maturity of green innovations. This study proposes that relationship learning plays a moderating role in the relationship between absorptive capacity and green innovation performance
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