Forecasting of electricity costs based on an enhanced gray-based learning model: A case study of renewable energy in Taiwan

This work presents a novel gray-based cost efficiency (GCE) model that integrates the gray forecasting model into a two-factor cost efficiency curve model for renewable energy (RE) technologies and identifies the optimal forecasting model for power generation cost of RE technologies. The analytical framework of proposed GCE model improves short-term prediction of power generation cost, and can be applied during the early developmental stages for RE technologies. Empirical analysis is based on wind power data for Taiwan. Time lag of knowledge stock was simulated to represent the actual relationship between R&D expenditures and cost reductions in power generation by knowledge stock. Analytical results demonstrate the GCE model is a useful tool to quantify the influences of cost reductions in power generation. The implications of analytical results are that institutional policy instruments play an important role in RE technologies achieving cost reductions and market adoption. The proposed GCE model can be applied to all high-technology cases, and particularly to RE technologies. The study concludes by outlining the limitations of the proposed GCE model and directions for further research.     

International diffusion of embodied and disembodied technology: A network analysis approach

This study proposes a quantitative method for investigating the structure of international technology diffusion. By using network analysis, this study defines the structural configuration of each country within the international diffusion network by measuring its degree, closeness, and betweenness centralities. In addition, this study distinguishes between embodied technology diffusion, measured by multilateral trade, and disembodied technology diffusion, measured by patent citations, in individual countries. This study empirically tests a sample data set of international technology diffusion taken from 48 countries. The empirical results show that the structural configuration of countries exhibits similar patterns in both embodied and disembodied diffusion networks. Significant global stratification patterns exist in the capability of national international technology exportation and brokerage advantages. Moreover, this study distinguishes four blocks of countries that play different roles in international technology diffusion: the leading countries provide a source of technological knowledge; an intermediate group diffuses the knowledge acquired from the source; a third group is in the process of initiating the export of technological knowledge; and a final group of countries absorbs technological knowledge without reciprocal exportation. Finally, this study identifies two types of catch-up strategies that newly industrialized or developing countries can use to move up the international technology stratification.     

To Justify or Not to Justify: The Role of Anticipated Regret on Consumers’ Decisions to Upgrade Technological Innovations

Prior research suggests that adoption decisions are primarily based on product features and experiential opportunities, like trial and observation. Our research follows inquiries that identify anticipated regret (AR) as an emotion integral to consumer decision making. Prior research and current retailing practice assume that AR can be alleviated by compelling product attribute-based rationales for immediate purchase. These rationales often take the form of direct attribute comparisons between the current best and the future technologies. Counter-intuitively, we find that giving consumers attribute-based justifications for immediate purchase produces a uniform level of AR and purchase delay regardless of the perceived rate of innovation (PRI). However, under conditions of low PRI and no justification, AR decreases significantly. A clear implication of our findings is that firms marketing current technology should not rush to provide consumers with justifications for immediate upgrade since such communications will remind consumers of what they might miss if they adopt now, resulting in increased AR and purchase delays. Instead, we suggest that retailers focus promotional efforts on highlighting the hedonic benefits consumers experience by adopting today.     

When does incentive compensation motivate managerial behaviors? An experimental investigation of the fit between incentive compensation,executive core self-evaluation,and firm performance

We develop and test an integrative model that examines the fit between compensation schemes, executives' characteristics, and situational factors. We propose that a fit among all three factors is crucial to motivate desirable managerial behaviors. Using a specially designed management simulation, our study demonstrates that the effectiveness of incentive compensation to motivate managerial behaviors depends on executives' core self-evaluation and firm performance. Our results show that, relative to fixed salary compensation, executives with higher core self-evaluation respond to incentive compensation with greater perseverance, competitive strategy focus, ethical behavior, and strategic risk taking during organizational decline. However, these interaction effects are not present during organizational growth. Our theory and empirical evidence provide significant insights into the complex relationships among compensation schemes, executives' characteristics, firm performance, and managerial behaviors. Copyright © 2012 John Wiley & Sons, Ltd.