Technology level evaluation methodology based on the technology growth curve

Technology has been the driving force of development for knowledge-based economies. As competition in technology innovation among nations becomes more intense, there is a growing need for improved judgment, evaluation and prediction of scientific technology capacity in order to enhance national competitiveness. Until now, a country's technology level has been evaluated on a relative basis by comparing it with that of the country with the world's best technology. However, this kind of static methodology makes the interpretation of results unclear and makes time series analysis difficult. One of the most important limitations of this methodology is that it cannot be used to establish a strategy to improve the technology level. This paper examines the methodological problems of technology level evaluation and develops a dynamic methodology by applying the technology growth curve model. We also analyze the real technology level by using a new model application and review the relevance of this method. Finally, we discuss how to use the results in order to create a dynamic technology strategy.     

Backcasting energy futures using industrial ecology

Backcasting has been widely used for developing energy futures. This paper explores the potential for using industrial ecology to guide the development of energy futures within a backcasting framework. Building on the backcasting work of Robinson [1], a seven step method is presented to embed industrial ecology principles within the development and assessment of future scenarios and transition paths toward them. The approach is applied to the case of backcasting regional energy futures in the Latrobe Valley, near Melbourne, Australia. This region has substantial brown coal deposits which are currently mined and used in coal-fired power stations to generate electricity. Bounded by a sustainability vision for the region in a carbon-constrained world, regional industrial ecologies in 2050 were backcast around three themes: bio-industries and renewables (no coal usage); electricity from coal with carbon capture and storage (low to high coal usage); and coal to products such as hydrogen, ammonia, diesel, methanol, plastics and char (demonstrating medium to high overall coal use relative to current levels). Potential environmental, technological, socio-political and economic impacts of each scenario across various life cycle stages were characterised. Results offer a platform for regional policy development to underpin deliberation on a preferred future by the community, industry and other stakeholders. Industrial ecology principles were found to be useful in backcasting for creatively articulating alternative futures featuring industrial symbiosis. However, enabling the approach to guide implementation of sustainable transition pathways requires further development and would benefit from integration within the Strategic Sustainable Development framework of Robèrt et al. [2].     

Estimating demand curve in the Korean VoIP telecommunications market

The VoIP (Voice over Internet Protocol) market in Korea is showing rapid growth since domestic carriers initiated the service in 2006. These carriers are now seeking new revenue sources from various convergence services and are increasing investment into VoIP. In particular, local exchange carriers (LECs), formerly reluctant to invest in technologies that would cannibalize their local telephone revenue, have started to invest in VoIP, in recognition of the current convergence of media and the telecommunications industry, as well as in the face of intensifying competition. In this study, we determined that VoIP call rates and landline telephony call rates were the most important factors affecting VoIP call demand, in addition to network externality. We also verified that landline telephony is no longer a supplement to VoIP, but rather, a substitute that has considerable influence on VoIP call demand. Empirical evidence is expected to be considered in policy decision making on current issues in the IT industry, such as access prices or competitiveness assessment. The current empirical analysis on the Korean VoIP industry and the adherence to lessons learned from policy enforcement should provide valuable information to countries seeking to develop their own VoIP industries, as well as to businesses developing new strategies based on the VoIP market.     

Delphi: A brief look backward and forward

In response to a request by the guest editors, we have set down our thoughts regarding the evolution of Delphi, beginning with our immersion in the subject in the late 1960s and concluding with some rumination about its future. Our focus is on the changing roles of Delphi. Most importantly, with the profound impact of the internet on organizational and community planning systems, it will foster a new age of participation through communication, coordination, and collaboration.     

No escape from the dominant theories: The analysis of intellectual pillars of technology management in developing countries

This paper aims to identify the intellectual bases of the technology management (TM) literature generated in developing countries using citation and co-citation analyses and answer the question of whether the intellectual bases of the TM literature created by authors in developing countries diverge from those of the global TM literature. Based on a comprehensive bibliometric analysis of ten technology-innovation management (TIM) specialty journals through the period of 1998-2007, this study produces three important findings. First, the TM literature generated in developing countries is dominated by the knowledge and theories created in developed countries. Second, among these knowledge sources some authors from developing countries and focusing on the specialties of developing countries, such as Kim and Lall, come into prominence; however these authors are not even mentioned in the previous bibliometric studies covering overall TM research. Finally the researchers in developing countries tackle with the issues or topics specific to their own context through combining three major bulks of literature. These are (i) resource-based view (RBV)/core competencies and organizational learning related research; (ii) literature dealing with the evolutionary theorizing on economic change and growth and (iii) literature related to technological capabilities, technology transfer and industrialization in developing countries.     

Foresight analysis of tilapia supply chains (Sistema Producto) in four states in Mexico: Scenarios and strategies for 2018

In order to increase competitiveness among individual producers and to encourage their integration, the federal government of Mexico has pursued the establishment, at both the state and national levels, of supply chains, or Sistema Producto (SP). For fisheries and aquaculture, 33 SPs exist at the state level and 7 at the national level, 1 of them for tilapia. The objective of this study is to carry out a foresight analysis (FA) of 4 tilapia SPs in Mexico—for the States of Colima, Sonora, Tabasco and Yucatán—analyzing their 2018 vision for the development of the tilapia chain. FA provides an integral vision of both the internal and external environments, identifying the key factors for each SP and helping to develop the best strategies in order to compete successfully. Sonora, Tabasco and Yucatán identify marketing aspects as key elements for their 10-year future: adding value to the product by means of new processing technologies, developing their own brand, and identifying and differentiating their product based on sanitary issues. Colima focuses its industry future success on efficiency improvements. Finally, the main technological disruptions identified by the 4 states are the incremental use of information technology, product and process certification, new hatcheries with genetically-improved fry, and new processing methodologies developed and/or applied.     

Where have all the flowers gone? Forecasting green trends in the automobile industry with a choice-based conjoint adoption model

With rising gas prices, global warming, and green thinking, all-electric vehicles are currently considered the automobile technology of the future. However, besides their advantages electric drive trains also exhibit several disadvantages. Moreover, history shows several failed attempts to establish electric vehicles. Thus, a reliable forecasting model is needed that predicts if the current trend is sustainable. We develop and empirically test a choice-based conjoint adoption model that uses individual-level preferences as a basis for prediction. Predictions are mapped to the time of the next planned purchase in order to establish the adoption process. The model extends existing research in several ways. First, no prior information, e.g., historical market data or a functional form of the adoption process, has to be integrated. Second, the model allows dynamic modifications of product specifications or competition at different points in time. Third, a no-choice option can be integrated so that a technology switch is not forced by the model itself and switching costs can be considered. The empirical results reveal different critical factors for the adoption of all-electric vehicles, such as purchase price, range, timing of the market entry, or environmental evolution, which could lead to a solid base of consumers preferring this option.     

Corporate foresight: Its three roles in enhancing the innovation capacity of a firm

In the last three decades much knowledge has been produced on how best to conduct foresight exercises, but little is known on how foresight should be integrated with the innovation effort of a company. Drawing on empirical evidence from 19 case studies and 107 interviews, we identify three roles that corporate foresight should play to maximize the innovation capacity of a firm: (1) the strategist role, which explores new business fields; (2) the initiator role, which increases the number of innovation concepts and ideas; and (3) the opponent role, which challenges innovation projects to increase the quality of their output.     

The competition and equilibrium analysis of LCD TV and PDP TV

This study has investigated the dynamic competitive relationship between PDP TVs and LCD TVs by means of their quarterly shipments. The renowned Lotka-Volterra competition diffusion model has been adopted to conduct the empirical analysis with the Lyapunov function to carry out equilibrium and stability analysis, and estimate the domain of attraction which describes the trend and phenomenon of TV shipments. The results illustrate that there is good fitting performance while adopting this model. The competitive relationship can be viewed from the perspective that the LCD TV is the prey while the PDP TV is the predator. The possibility, nevertheless, for dropping the price of LCD TVs is an advantage of the attractiveness of the product which can be noted in higher growth rate than PDP TVs. With respect to the equilibrium stability analysis and estimated domain of attraction, 40- to 49-inch PDP TVs will not disappear from the market, but will generate a stable equilibrium with LCD TVs and sales volume presents simultaneous increase or decrease. In the supply and demand analysis, LCD TVs present a surplus of supply from 2008; therefore, how to conduct appropriate inventory management will be an emerging issue.     

A heuristic procedure to identify the most valuable chain of patent priority network

In this study, we provide support for the argument that patents are at their maximum value at those times when they are under litigation. We develop a heuristic procedure to determine the way in which such patents under litigation form a network of patent family members, and then go on to examine the priority patents involved. We subsequently attempt to develop a simple procedure to further identify both the ‘critical’ and ‘significant’ chains within our proposed patent priority network. We suggest that the ‘critical’ and ‘significant’ chains that are created within the above network provide companies with important information which will ultimately provide them with valuable support for the subsequent decision of their patent portfolio strategies.