تجزیه و تحلیل پذیرش فن آوری پیشرفته و تاثیر در حمایت مردم از برنامه های فن آوری پیشرفته : مورد تجربی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|20212||2009||16 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : The Journal of High Technology Management Research, Volume 20, Issue 2, 2009, Pages 153–168
The aim of this paper is to contribute to the body of knowledge in relation to the diffusion and adoption process of high technology. It intends to analyse those mechanisms that influence advanced technology transference and marketing, and those features that improve the impact of public programs supporting the adoption of high technology. The paper proposes a contingent construct that explains how advanced technology is transferred, diffused and adopted by users in a firm. In relation to the impact of technology transference this paper follows a novel approach: value mapping methodology adapted to the case of advanced technology. The article provides empirical evidence on the variables which contribute to the technology transference and commercialization process, and especially in the case of SMES. Key variables such as technology complexity, relationships between researchers, developers and final users, as well as market barriers appear to be critical for the transference process. Moreover, technology absorption by incumbent firms becomes a necessary requirement for its subsequent transfer. The paper has utilised the available experience from the GAME initiative, part of the European Commission IV Research Framework Programme, related to the promotion of microelectronics among Spanish firms. Using a representative sample and employing multivariable analysis methods, a model was developed in order to understand technology diffusion, absorption and transference knowledge flows. In addition, the model is useful for evaluating technology dissemination using the diffusion model to measure its social impact. The paper found that social impact can be explained by the creation of employment.
The objectives of this paper are to contribute to the analysis of the adoption process and social efficiency of high technology diffusion public programs and policies as well as to the understanding of the mechanisms that influence the process of high technology transference. To achieve this we have drawn on the theory of innovation and technology development in order to understand the context of high technology diffusion and its variables which influence the process. In order to evaluate the effectiveness of the diffusion we have followed the contingent model proposed by Bozeman (2000) and the methodology of value mapping as a means of measuring the program impact, i.e., how high tech products are developed and the process of technology adoption. The specific objective of the paper is to develop a construct that facilitates the analysis of the diffusion of advanced technology programs and to identify those variables that have a significant impact in the process. There are a number of research questions to be answered: Is high tech product development different from conventional new product development? Which elements in the development and adoption processes are relevant? How can we measure the impact of public supported programs for the diffusion of advanced technology? Is this impact dependent on the development process? In this case, advanced technology diffusion has to deal with three basic difficulties (Tatikonda and Rosenthal, 2000a and Tatikonda and Rosenthal, 2000b). First its complexity makes it very difficult to communicate and transfer. Secondly, it is subject to drastic and frequent changes due to technology disruption and economic conditions. Finally, project development becomes complex due to task uncertainty. In order to achieve the proposed objective the paper is organized as follows: following the introduction we review specific literature and the hypotheses are stated according to the theoretical framework. Then, we describe the field case (GAME program) and present the methodology and empirical design, with the model and variables used as well as the characteristics of the sample. Finally, the results of the empirical evidence are given. Conclusions and a discussion are provided in the last part of the article.