Electromagnetic Jigsaw: Metal-Cutting by Combining Electromagnetic and Mechanical Forces

AbstractThe magnetic saw effect, induced by the Lorentz force generated due to the application of a series of electromagnetic (EM) pulses, can be utilized to cut a metallic component containing a pre-existing cut or crack. By combining a mechanical force with the Lorentz force, the cut can be propagated along any arbitrary direction in a controlled fashion, thus producing an ‘electromagnetic jigsaw’, yielding a novel tool-less, free-formed manufacturing process, particularly suitable for hard-to-cut metals. This paper presents validation of the above concept based on a simple analytical model, along with experiments on two materials - Pb foil and steel plate

First impressions of digital pitches, innovation, and venture funding performance: An evolutionary psychology approach

We draw from evolutionary psychology to predict that the immediate recognition of certain traits significantly impacts funding outcomes. Four such traits that are recognizable in potential entrepreneurs and play a role in funding decisions are: aggressiveness, attractiveness, competence, and trustworthiness. These initial impressions guide the behavior and decision-making processes of funders. We hypothesize that immediate trait assignments shape initial interpretations, lead to further investigation, and represent qualities that funders view positively or negatively when deciding which campaigns to back. These hypotheses are tested using the first ten seconds of entrepreneurial pitch videos in the crowdfunding context. Our results suggest that these evolutionary-driven traits play a crucial role in funder perception and crowdfunding success and, specifically, that entrepreneurs benefit from displaying aggressiveness and competence in pitches

Turning liabilities of global operations into assets: IT-enabled social integration capacity and exploratory innovation

Practice and Policy Abstract:</p

Business owners, employees, and firm performance

The novel Finnish Longitudinal OWNer-Employer-Employee (FLOWN) database was used to analyze how the characteristics of owners and employees relate to firm performance as determined by labor productivity, survival, and employment growth. Focusing on the role of the employment history, the results show that previous experience in a high-productivity firm strongly predicts high productivity and probability of survival for the entrepreneur’s new firm. This can be interpreted as evidence of knowledge spillovers through labor mobility of both the owners and the employees. The results also show that the owner’s high education in a technical field is positively related to firm performance. Different findings for owner-entrepreneurs and pure owners suggest that the definition of entrepreneurship matters.peerReviewe