Learn More
Management: A Stakeholder Approach, a work that set the agenda for what we now call stakeholder theory. In the intervening years, the literature on stakeholder theory has become vast and diverse. This book examines this body of research and assesses its relevance for our understanding of modern business. Beginning with a discussion of the origins and(More)
This paper extends entrepreneurship into the domain of alliances, and investigates the effect of alliance proactiveness on market-based firm performance (defined in terms of sales growth, market share, market development and product development). Alliance proactiveness is defined as the extent to which an organization engages in identifying and responding(More)
ii Bulletin 289 is a publication in the Southern Cooperative Series and, as such, is in effect a separate publication by each of the cooperating Agricultural Experiment Stations listed below. Thus, it may be mailed under the frank and indicia of each. Requests for copies from outside the cooperating states may be addressed to the iii FOREWORD Over the past(More)
A piezoelectric polymeric blend system has been developed. The system contains two components: ferroelectric poly(vinylidene-trifluoroethylene) and graft elastomer. The remanent polarization, P r , and the piezoelectric strain coefficient, d 31 , of the blends have been studied as a function of relative composition of the two components, temperature and(More)
The purpose of this review is to detail the current theoretical understanding of the origin of piezoelectric and ferroelectric phenomena in polymers; to present the state-of-the-art in piezoelectric polymers and emerging material systems that exhibit promising properties; and to discuss key characterization methods, fundamental modeling approaches, and(More)
Dynamic force spectroscopy (DFS) measurements on biomolecules typically require classifying thousands of repeated force spectra prior to data analysis. Here, we study classification of atomic force microscope-based DFS measurements using machine-learning algorithms in order to automate selection of successful force curves. Notably, we collect a data set(More)