Philadelphia Access

“Philadelphia Access” by Frank G. Rosci is a comprehensive exploration of managing technological innovation, published by Access Press in 1998. This third edition spans 189 pages and is presented in English. The book compiles papers from a prior PICMET conference, focusing on various aspects of technology management, including strategic planning and behavioral elements critical to innovation.
Readers will find a detailed examination of topics such as the capability maturity model and the relationship between supervisory support and work-family conflict. The collection includes studies on entrepreneurship among Taiwanese youth and tools for evaluating technological innovations, offering insights into the dynamics of workplace relationships, particularly within research and development departments. This edition serves as a resource for understanding the complexities of technological management in the context of travel and regional studies in the United States, particularly in the Northeast and Middle Atlantic regions.
Official synopsis Publisher
This e-book is compiled from papers presented at a prior PICMET conference (Portland International Conference on Engineering and Technology Management). The papers deal with several aspects of managing technological innovation. The first paper by Wei-Wei et al examines strategic planning for technology management. The authors developed a model, which is based on the capability maturity model (CMM) and fitness landscape theory. The next three papers study behavioral elements which need to be considered carefully in managing technological innovations.. The second paper by Chen et al. studied entrepreneurship by applying the Chinese entrepreneur aptitude scale to Taiwanese youth. The third paper again by Chen at al. explores the relationship between supervisory support and work-family conflict. The fourth paper by Lin explores the relationships in the workplace including R & D department. The final two papers present tools for evaluating technological innovations. Lin et al. present a novel method of integrating multiple theories for forecasting technological innovations. Lai et al demonstrate use of an enhanced multi criteria decision model for evaluation of research and development projects.
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