Innovative Tokyo

This paper compares and contrasts Tokyo's innovation structure with the industrial districts model and the international hub model in the literature on urban and regional development. The Tokyo model embraces and yet transcends both industrial districts and international hub models. The paper details key elements making up the Tokyo model-organizational knowledge creation, integral and co-location systems of corporate R&D and new product development, test markets, industrial districts and clusters, participative consumer culture, continuous learning from abroad, local government policies, the national system of innovation, and the historical genesis of Tokyo in Japan's political economy. The paper finds that the Tokyo model of innovation will continue to evolve with the changing external environment, but fundamentally retains its main characteristics. The lessons from the Tokyo model is that openness, a diversified industrial base, the continuing development of new industries, and an emphasis on innovation, all contribute to the dynamism of a major metropolitan region.Labor Policies,Environmental Economics&Policies,Public Health Promotion,ICT Policy and Strategies,Agricultural Knowledge&Information Systems,ICT Policy and Strategies,Environmental Economics&Policies,Health Monitoring&Evaluation,Agricultural Knowledge&Information Systems,Innovation

Thought for Food: The impact of ICT on agribusiness

The paper outlines the impact of ICT on the food economy. On basis of a literature review from four disciplines – knowledge management, management information systems, operations research and logistics, and economics - the paper identifies the demand for new ICT applications, the supply of new applications and the match between demand and supply. Subsequently, the paper discusses the impact of new ICT applications on the food economy. The paper relates the development of new technologies to innovation and adoption processes and economic growth, and to concepts of open innovations and living labs.ICT, Food Economy, Innovation and Adoption, Economic growth, Agricultural and Food Policy,

Thought for Food: the impact of ICT on agribusiness

This report outlines the impact of ICT on the food economy. On the basis of a literature review from four disciplines - knowledge management, management information systems, operations research and logistics, and economics - the demand for new ICT applications, the supply of new applications and the match between demand and supply are identified. Subsequently the impact of new ICT applications on the food economy is discussed. The report relates the development of new technologies to innovation and adoption processes and economic growth, and to concepts of open innovations and living lab

Organic Rural Innovation Systems and Networks: Findings From a Study of Ethiopian Smallholders

Agriculture in Ethiopia is changing. New players, relationships, and policies are influencing the ways in which information and knowledge are used by smallholders. While this growing complexity suggests opportunities for Ethiopian smallholders, too little is known about how these opportunities can be effectively leveraged to promote pro-poor processes of rural innovation. This paper examines Ethiopia’s smallholder agricultural sector from an innovation systems perspective to understand the changing roles, responsibilities, and interactions of diverse actors in relation to smallholder livelihoods. The paper uses a combination of qualitative and quantitative research tools to paint a picture of the innovation landscape at both the system and local levels. Findings suggest that public sector extension, administration, and related service providers form a closely-knit network in rural Ethiopia with the ability to influence smallholder access to knowledge and information. Given the Government of Ethiopia’s priorities of improving rural welfare by increasing market access among smallholders, these findings suggest the need for policies and programs designed to strengthen innovative capabilities among rural service providers from the public sector, and to create more space for private and civil society actors to participate in smallholder innovation networks.Ethiopia, Agricultural development, innovation, technology, Social networks, Social learning, Agribusiness, Agricultural and Food Policy, Consumer/Household Economics, Farm Management, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, International Relations/Trade, Marketing, Productivity Analysis, Research and Development/Tech Change/Emerging Technologies,

Implications of genetically modified food technology policies for Sub-Saharan Africa

The first generation of genetically modified (GM) crop varieties sought to increase farmer profitability through cost reductions or higher yields. The next generation of GM food research is focusing also on breeding for attributes of interest to consumers, beginning with"golden rice,"which has been genetically engineered to contain a higher level of vitamin A and thereby boost the health of unskilled laborers in developing countries. The authors analyze empirically the potential economic effects of adopting both types of innovation in Sub-Saharan Africa (SSA). They do so using the global economy-wide computable general equilibrium model known as GTAP. The results suggest that the welfare gains are potentially very large, especially from nutritionally enhanced GM wheat and rice, and that-contrary to the claims of numerous interests-those estimated benefits are diminished only slightly by the presence of the European Union's current barriers to imports of GM foods. In particular, if SSA countries impose bans on GM crop imports in an attempt to maintain access to EU markets for non-GM products, the loss to domestic consumers due to that protectionism boost to SSA farmers is far more than the small economic gain for these farmers from greater market access to the EU.Economic Theory&Research,Crops&Crop Management Systems,Agricultural Knowledge&Information Systems,Environmental Economics&Policies,Agricultural Research,Crops&Crop Management Systems,Environmental Economics&Policies,Agricultural Research,Economic Theory&Research,Agricultural Knowledge&Information Systems

The complex interaction between Global Production Networks, Digital Information Systems and International Knowledge Transfers

Traditionally many studies of knowledge in economics have focused on localized networks and intra-regional collaborations. However, the rising frequency by which firms collaborate within the context of global networks of production and innovation, the increasingly intricate divisions of labor involved and the extensive use of the Internet to facilitate interaction are all relatively novel trends that underline the importance of knowledge creation and flows across different locations. Focusing on this topic, the present chapter examines the complex interactions between global production networks (GPN), digital information systems (DIS) and knowledge transfers in information technology industries. It seeks to disentangle the various conduits through which different kinds of knowledge are transferred within such networks, and investigate how recent generations of DIS are affecting those knowledge transfers. The paper concludes that the dual expansion of GPN and DIS is adding new complexity to the practice of innovation: To access knowledge necessary for sustained creativity firms often have to link up with remote partners in GPN, but to be able to absorb and utilize this knowledge, they also frequently have to engage in local interactive learning processes. These local- global linkages - and the various skills necessary to operate them - are strongly interdependent, mutually reinforcing and critical for the development and maintenance of innovation-based competitiveness.

Measuring the degree of virtualization. An empirical analysis in two Austrian industries.

Strategic management literature suggests that especially in young and dynamic industries Virtual Corporations are more likely to emerge, as this type of organization is flexible enough to deal with rapidly changing environments. This paper challenges the proposition that environ-mental uncertainty and technological change lead to organizational adaptation towards virtual structures. We analyzed companies of two Austrian industries, data processing and engineering, which are characterized by different rates of innovation and environmental uncertainty, and compare their strategic, structural, and process characteristics by measuring their Degree of Virtualization. Results indicate almost no difference in the Degree of Virtualization. From these findings, we draw implications for the theoretical concept of Virtual Corpora-tions as well as for empirical research. (author's abstract)Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science

Mapping paradigm shifts in the geography of innovation

The study quantifies important theoretical tendencies in the geography of innovation in a historical view based on a novel big-data approach. It shows that the field was “born” only in the nineteen eighties after long periods (i.e. the first half of the 20th century) of analysing economic growth and regional development without endogenising the production process of innovation. The paper presents important shifts in the basic assumptions of models with the increasing use of the terms “economic instability” or “asymmetric information” instead of “economic equilibrium” and “perfect information”. These mean a deviation from traditional neoclassical regional economics, which is reflected in the fact that “geography of innovation” gained the same level of popularity in the 2000s as “industrial geography”. The paper shows that although the decline of the Marshallian term “industrial district” stopped in parallel with the work of Becattini, a new innovation systems theory took over the relative frequency of mention of the industrial district by the turn of the new millennium.The study quantifies important theoretical tendencies in the geographyof innovation in a historical view based on a novel big-data approach. It shows thatthe field was “born” only in the nineteen eighties after long periods (i.e. the firsthalf of the 20th century) of analysing economic growth and regional developmentwithout endogenising the production process of innovation. The paper presentsimportant shifts in the basic assumptions of models with the increasing use of theterms “economic instability” or “asymmetric information” instead of “economicequilibrium” and “perfect information”. These mean a deviation from traditionalneoclassical regional economics, which is reflected in the fact that “geographyof innovation” gained the same level of popularity in the 2000s as “industrialgeography”. The paper shows that although the decline of the Marshallianterm “industrial district” stopped in parallel with the work of Becattini, a newinnovation systems theory took over the relative frequency of mention of theindustrial district by the turn of the new millennium

Integrating Thermodynamics and Biology for Sustainable Product Lifecycle Design

The linkage between raw resources consumption and economic growth through product manufacture and disposal is creating an untenable pressure on the planet’s natural systems; therefore understanding and embracing the mechanics of the biology and physics of our context could lead to novel approaches in the design of human-built systems/products. Designers are, by active association, responsible for that pressure and much of the impact can be traced back to the early stages of the design process. For designers and engineers the main constraint is accessibility to knowledge of multiple and complex factors in easily digestible form when starting a project. Added to this is the possibility to transcend the realm of products and explore creative solutions throughout the entire life cycle, giving designers the opportunity to propose entire new business models and systems. This paper exposes the search for an intuitive soft modeling tool that considers some of these factors and inspires the innovation of business and systems innovation from a biophysical perspective. The aim of this tool is to enable the exploration of these factors in a playful intuitive way and relate these outcomes to the design of a business model operating within the principles of trophic levels. The first key question to the development of this approach has been: how does it work in nature? Organisms search for their food in other organisms and at the same time are the food of others; biomass and energy are transferred from one level to another, losses occur, higher qualities of energy are created and all is maintained in continuous cycles. The linear human production of goods can be rethought by taking into account this basic principle of thermodynamics and although this is not a technological problem, the relevant constrains need to be integrated for this approach to be feasible. These are from an economics origin: how to achieve a healthy business from a non-linear process? It is proposed that an analogy between natural and human systems: autotrophs = manufacturing, heterotrophs = distributors and consumers, their concentration and size, their possible combinations and their eventual business interpretations, is referred to as Trophic Economics. The envisioned tool will combine the exploration of the complex factors involved in the lifecycle of a product with the suggested Trophic Economics models. The outcome could be sketches of the possible boundaries and structures of new business and products, to be resolved later on the drawing board. In order to measure and keep track of the most relevant decisions, a designer must embrace tools like emergy accounting, MIPS and MI (Wuppertal Institute, 2002) used in related combination, plus indexes of CO2 emissions and relevant economic, social-demographic and ecosystems information about the countries involved in any give proposition of manufacture and use

The Bass Model of Diffusion: Recommendations for Use in Information Systems Research and Practice

The Bass Model (TBM), first introduced in 1969, has been used in several fields – including sociology, economics, marketing, and communication studies – to understand diffusion of products and innovations, but has received limited attention in information systems (IS) research and practice. TBM views diffusion as occurring through a combination of innovation (p) and imitation (q). Innovation and imitation describe the extents to which influences external to the population and influences internal to the population respectively affect diffusion. To encourage and enable greater use of TBM in IS research and practice, we describe an application process for using TBM and illustrate potential applications of TBM