On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

The “swing of the pendulum” from public to market support for science and technology: Is the U.S. leading the way?

The structure and financing of science and technology activities are undergoing a slow, but profound, change. This change can be briefly characterized as a shift from relying and supporting public science to a stronger emphasis on “market-based” incentives for science and technology. In this paper we analyze this shift in a historical perspective, discussing both the theoretical explanations and the empirical trends of the ongoing change. While we do not claim to provide a comprehensive and exhaustive identification of the causes of this shift, we argue that it is largely driven by the perception of a shift of the U.S. policy towards market-based, rather than publicly supported, incentives for science and technology. This, in turn—given the strong economic performance of the United States over the 1990s—has influenced policies in most OECD countries, especially in Europe.We conclude by analyzing the evolution of research in U.S. higher education and find two major trends: an increasing diversity in the number of institutions of different types other than universities and a steady and continuous public funding of the leading U.S. universities. This has allowed the construction of an infrastructure now used largely by the private sector, but it also noted that the United States has not compromised public support for core areas or in those fields in which there is a clear perception that market incentives are not sufficient for meeting the strategic targets of the U.S. policy. The implication is that there is a considerable policy diversity in the U.S. practice and that all aspects of this diversity should be considered when using the United States as a reference.     

Effects of income and social awareness on consumer WTP for social product attributes

Recent developments in environmental and animal welfare issues, and the introduction of new production practices may have affected consumer attitudes and preferences toward differentiated product choice. Factors such as animal well-being, environmentally friendly production, and the use of antibiotics appear to be increasingly core consumer concerns. We link the aforementioned with Maslow's hierarchy of needs suggesting that the higher income consumers should be more altruistic in their consumptive behavior and test this by evaluating consumer preferences for these attributes in pork chops. We also test whether social consciousness of the consumers translates into choice behavior. Data was obtained by choice experiment surveys and mixed logit estimation was used to estimate consumers' willingness-to-pay for the credence attributes. Results reveal that both, higher income and socially aware consumers are on average willing to pay higher premiums for the antibiotic-free attribute, but not for other two social attributes. Also, the group of higher income consumers is highly heterogeneous in their preferences, whereas socially aware consumers tend to be more homogeneous in their preferences.     

Profiling mobile TV adopters in college student populations of Korea

By profiling demographic characteristics, perceived general adoption attributes, perceived value-based adoption attributes, motivational needs, mass media use, and content interest, this exploratory study examines the nature of four categories of mobile TV adopters — current, potential, continuous non-, and discontinuous user groups. Despite the limited sample size (N = 214), there are some meaningful findings. First of all, the non-adoption rate of mobile TV of the continuous non-, and discontinuous user groups is higher than the adoption rate of the current and potential user groups. Less than half of the respondents (N = 34) who had used TV on a mobile device were unwilling to use it again in the next twelve months, and almost half of those (N = 102) did not have the intention of using it within the coming year. The results suggest that the discontinuous group seems to have been dissatisfied with the actual mobile TV use when compared with their expectations and evaluations, while the potential user group is more likely to have high expectations and positive evaluations before the adoption and use of mobile TV. All user groups were unwilling to pay the fee, despite the current and potential user groups perceiving the exceptional values. No differences were found in the personality trait of innovativeness and mass media use behaviors among the four groups.     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

Dynamic risk management in petroleum project investment based on a variable precision rough set model

In this paper, an adaptive algorithm is designed for dynamic risk management in petroleum project investment based on a variable precision rough set (VPRS) model. In risk management, at each stage of decision-making, experts are invited to identify risk indices and support the decision-maker in evaluating the risk exposure (RE) of individual projects. The VPRS model is used to mine risk rules and determine the significance of risk indices from RE decision tables. Considering that there are multiple risks involved in any petroleum project investment, we use multi-objective programming to obtain the optimal selection of projects with minimum RE, where the significance of risk indices is assigned to each of the corresponding multi-objective functions as a weight. Moreover, we develop a risk ranking model to measure the degree of risk for individual projects in a portfolio. Finally, a numerical example based on a Chinese petroleum company's investments in overseas projects is presented to illustrate the proposed approach, and then conclusions are drawn.     

Revisiting and extending our understanding of Pierre Wack's the gentle art of re-perceiving

Pierre Wack's 1985 Harvard Business Review papers are two of the most frequently referenced in the scenario planning literature. Wack argued that planning had to be based on the more predictive elements of the business environment. If not, plans would be based on uncertainty and a ‘best guess’ basis. Yet there is a lack of subsequent empirical research to investigate Pierre Wack's contribution. The research findings presented in this paper extend our understanding of Wack's contribution. We show how social discourse during scenario building helped to make sense and reveal the significance of historical events. These historical events were seen, but not previously understood; consequently a new understanding of reality emerged. The findings are in contrast to Wack's explanation of re-perceiving and extend our understanding of the basis of re-perceiving with scenarios.     

The coevolution of firms and their knowledge environment: Insights from the pharmaceutical industry

What are the most effective learning strategies for firms given the characteristics of their knowledge environment? This paper addresses this question by documenting the major changes in the knowledge environment of the pharmaceutical industry, with a particular emphasis on the period since the emergence of biotechnology, and discussing the related changes in the learning strategies of established pharmaceutical firms. Both the historical analysis and a review of the empirical research on organizational learning and knowledge transfer reveal a strong emphasis of firms on external learning through interfirm collaborations and sourcing of external knowledge. This learning strategy seems to be driven by the speed, uncertainty, and dispersion of knowledge developments in the industry. Studying the connections between the knowledge environment and the effectiveness of organizational learning processes is important to understand organizational change and adaptation, and is an area of research that deserves further attention.     

Innovation for Inclusive Business: Intrapreneurial Bricolage in Multinational Corporations

It is often argued that multinational corporations (MNCs) are in a unique position to innovate business models that can help to alleviate poverty. This empirical study into intra‐organizational aspects of pro‐poor business innovation in two MNCs suggests, however, that certain elements of their management frameworks – such as short‐term profit interests, business unit based incentive structures, and uncertainty avoidance – may turn into obstacles that prevent MNCs from reaching their full potential in this respect. We introduce the concept of intrapreneurial bricolage to show how middle manager innovators may promote pro‐poor business models despite these obstacles. We define intrapreneurial bricolage as entrepreneurial activity within a large organization characterized by creative bundling of scarce resources, and illustrate empirically how it helps innovators to overcome organizational constraints and to mobilize internal and external resources. Our findings imply that intrapreneurial bricolage may be of fundamental importance in MNC innovation for inclusive business. In addition to the field of inclusive business, this study has implications for the study of bricolage in large organizations and social intrapreneurship, as well for managerial practice around innovation for inclusive business.