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22. Overcoming Fear of Failure: Examining the Moderating Effects of Gender and Perceived Social Support.

Author

Nsair, Viva and Lee, Jaegul

Abstract

Efforts are being made to reduce the gender gap in entrepreneurship across the world (Kelley et al., 2017). Studies have established that the gender gap can be explained through the relationship of risk aversion predicting entrepreneurial intention and activity (Dawson & Henley, 2015; Ozaralli & Rivenburgh, 2016; Shinnar, Giacomin, & Janssen, 2012; Zhao, Seibert, & Lumpkin, 2010). We move the literature forward by showing evidence that fear of failure, a state-based construct capturing fear of failing to achieve one's goals is an antecedent to entrepreneurial activity above and beyond what can be explained by risk aversion. We also provide theoretical justification and empirical evidence that the fear of failure-entrepreneurial activity relationship is moderated by gender and perceived social support in a three-way interaction. While men experience less fear of failure than women, men are the ones that benefit from social support and experience a mitigating effect on how fear influences entrepreneurial activity. We discuss the theoretical and practical implications of our findings. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Interfirm Innovation under Uncertainty: Empirical Evidence for Strategic Knowledge Partitioning

Author

Lee, Jaegul and Veloso, Francisco M.

Subjects
Business, Business, general
Abstract

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1540-5885.2008.00312.x Byline: Jaegul Lee (1), Francisco M. Veloso (2) Abstract: This paper analyzes how uncertainty and life-cycle effects condition the knowledge boundary between assemblers and suppliers in interfirm product development. Patents associated with automotive emission control technologies for both assemblers and suppliers are categorized as architectural or component innovations, and technology-forcing regulations imposed by the government on the auto industry from 1970 to 1998 are used to define periods of high and low uncertainty. Results confirm that suppliers dominate component innovation whereas assemblers lead on architectural innovation. More importantly, when facing uncertainty firms adjust their knowledge boundary by increasing the knowledge overlap with their supply-chain collaborators. Suppliers clearly expand their knowledge base relatively more into architectural knowledge during such periods. But assemblers' greater emphasis on component innovation in periods of greater uncertainty is only true as a relative deviation from an overall trend toward increasing component innovation over time. This trend results from an observed life-cycle effect, whereby architectural innovation dominates before the emergence of a dominant design, with component innovation taking the lead afterward. Thus, for assemblers life-cycle effects may dominate over task uncertainty in determining relative effort in component versus architectural innovation. This work extends research on strategic interfirm knowledge partitioning as well as on the information-processing view of product development. First, it provides a large-scale empirical justification for the claim that firms' knowledge boundaries need to extend beyond their task boundaries. Further, it implies that overlaps in knowledge domains between an assembler and suppliers are particularly important for projects involving new technologies. Second, it offers a dynamic view of knowledge partitioning, showing how architectural knowledge prevails in the early phase of the product life cycle whereas component knowledge dominates the later stages. Yet the importance of life-cycle effects versus task uncertainty in conditioning knowledge boundaries is different for assemblers and suppliers, with the former dominating for assemblers and the latter more influential for suppliers. Finally, it supports the idea that architectural and component knowledge are critical elements in the alignment of cognitive frameworks between assemblers and suppliers and thus are key for information-exchange effectiveness and resolution of task uncertainties in interfirm innovation. Author Affiliation: (1)Wayne State University (2)Carnegie Mellon University Article note: Address correspondence to: Jaegul Lee, School of Business Administration, Wayne State University, 320 Prentis Building, Detroit, MI, 48202. Tel.: (313) 577-4565. Fax: (313) 577-5486. E-mail: jaegul.lee@wayne.edu.

Published
2008

34. A Computationally Efficient Method for Bounding Impacts of Multiple Uncertain Parameters in Dynamic Load Models.

Author

Kim, Jae-Kyeong, Ma, Jin, Sun, Kai, Lee, Jaegul, Shin, Jeonghoon, Kim, Yonghak, and Hur, Kyeon

Subjects
DYNAMIC models, DYNAMIC loads, DYNAMIC simulation, ELECTRIC power systems, ELECTRIC power distribution grids
Abstract

This paper develops a computationally efficient method to bound the impact of multiple uncertain parameters in a dynamic load model. Load model trajectory sensitivity is first conducted on regional dynamics only (e.g., a large industrial load bus and its model for adequately representing the bus voltage dynamics) to identify critical and correlated load parameters. Systemwide trajectory sensitivity on the entire power system model is then evaluated for this reduced set of parameters, and finally, the impact of multiple uncertain parameters on the representation of power system dynamics is bounded. To reinforce this reasoning, we elaborate on the conceptual meaning of the load model trajectory sensitivity, its implication, and its applicability to the entire power grid analysis. This research also develops a fluctuation index of trajectory sensitivity to effectively rank and select the model parameters based on the impact of their perturbations on the system's dynamic performance. Case studies for the Korean power system demonstrate the validity and efficacy of the developed methods for adequately bounding the uncertainty impacts with reference to the comprehensive time-domain dynamic simulation approach. [ABSTRACT FROM AUTHOR]

Published
2019
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38. Firm size and compositions of R&D expenditures: evidence from a panel of R&D performing manufacturing firms.

Author

Choi, Joonhwan and Lee, Jaegul

Subjects
RESEARCH & development projects, PRODUCT management research, BUSINESS process management, MACHINE learning, FINANCE
Abstract

The effect of firm size on diverse compositions of R&D expenditures is analysed in detail using firm-level data on the Korean manufacturing sector. On the grounds that each type of R&D activity differs in terms of salability in disembodied form and growth potential due to innovation, a distinction between product vs. process, and new vs. incremental R&D is made. Empirical tests show that the firm size is significantly associated with both the new and incremental R&D. Moreover, firm size is found to be significantly associated with other types of R&D compositions such as the share of R&D devoted to incremental innovation and multidimensional combinations of product, process, new and incremental R&D. These findings support the idea that large firms possess innovative advantages over smaller firms and firm size is an important determinant for firms’ heterogeneous R&D activities. We also discuss the limitations and the implications of the findings. [ABSTRACT FROM AUTHOR]

Published
2018
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