Knowledge-generating Efficiency in Innovation Systems: The relation between structural and temporal effects

Using time series of US patents per million inhabitants, knowledge-generating cycles can be distinguished. These cycles partly coincide with Kondratieff long waves. The changes in the slopes between them indicate discontinuities in the knowledge-generating paradigms. The knowledge-generating paradigms can be modeled in terms of interacting dimensions (for example, in university-industry-government relations) that set limits to the maximal efficiency of innovation systems. The maximum values of the parameters in the model are of the same order as the regression coefficients of the empirical waves. The mechanism of the increase in the dimensionality is specified as self-organization which leads to the breaking of existing relations into the more diversified structure of a fractal-like network. This breaking can be modeled in analogy to 2D and 3D (Koch) snowflakes. The boost of knowledge generation leads to newly emerging technologies that can be expected to be more diversified and show shorter life cycles than before. Time spans of the knowledge-generating cycles can also be analyzed in terms of Fibonacci numbers. This perspective allows for forecasting expected dates of future possible paradigm changes. In terms of policy implications, this suggests a shift in focus from the manufacturing technologies to developing new organizational technologies and formats of human interaction

New Product Development in Thai Agro-Industry: Explaining the Rates of Innovation and Success in Innovation

The Thai food industry is amongst the most dynamic and diverse in the world. Continual innovation in the form of new product development is critical to this industry, and yet new products are more likely to fail than succeed. In this paper,we investigate factors explaining both the rate of new product development as well as the rate of success in products newly introduced into the market, using data from a survey of firms. The methodology involves a Poisson regression to investigate the determinants of innovation and a Least Squares regression to explain success rates in innovation.New product development, Thailand, Food industry, Innovation., Agribusiness,

Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems

Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data. In particular, big data analytics alludes to applications of artificial intelligence, machine learning techniques, data mining techniques, time-series forecasting methods. Decision-makers in power systems have been long plagued by incapability and weakness of classical methods in dealing with large-scale real practical cases due to the existence of thousands or millions of variables, being time-consuming, the requirement of a high computation burden, divergence of results, unjustifiable errors, and poor accuracy of the model. Big data analytics is an ongoing topic, which pinpoints how to extract insights from these large data sets. The extant article has enumerated the applications of big data analytics in future power systems through several layers from grid-scale to local-scale. Big data analytics has many applications in the areas of smart grid implementation, electricity markets, execution of collaborative operation schemes, enhancement of microgrid operation autonomy, management of electric vehicle operations in smart grids, active distribution network control, district hub system management, multi-agent energy systems, electricity theft detection, stability and security assessment by PMUs, and better exploitation of renewable energy sources. The employment of big data analytics entails some prerequisites, such as the proliferation of IoT-enabled devices, easily-accessible cloud space, blockchain, etc. This paper has comprehensively conducted an extensive review of the applications of big data analytics along with the prevailing challenges and solutions

New evidence on returns to scale and product mix among U.S. commercial banks

Numerous studies have found that banks exhaust scale economies at low levels of output, but most are based on the estimation of parametric cost functions which misrepresent bank cost. Here we avoid specification error by using nonparametric kernal regression techniques. We modify measures of scale and product mix economies introduced by Berger et al. (1987) to accommodate the nonparametric estimation approach, and estimate robust confidence intervals to assess the statistical significance of returns to scale. We find that banks experience increasing returns to scale up to approximately $500 million of assets, and essentially constant returns thereafter. We also find that minimum efficient scale has increased since 1985.Banks and banking ; Banks and banking - Costs ; Economies of scale

Market Structure, Price Pass-Through and Welfare with Differentiated Products

There is considerable literature on price pass-through modeling. This literature has focused on pass-through of cost shocks for homogenous products. To get results with the homogenous products case, empirical implementation has required the maintained hypothesis of competition, or agreement, in quantity modeling. A major contribution of this paper is modeling pass-through for a differentiated products market under the maintained hypothesis of price competition or price agreement. We estimate a mixed logit model for U.S processed cheese market using unbalanced panel data and implement a price pass through simulation and related consumer welfare analysis under different regimes of competition.Market Structure, Price Pass-Through, Consumer Welfare, Mixed Logit, Industrial Organization,

Indices that capture creative destruction: questions and implications

The paper argues that micro and macro economists interested in the dynamics of creative destruction can gain important insights by using indices that capture the effect of innovation on the relative position of firms. This is due to the uneven and 'destructive' effect that radical innovation has on firm rankings. One such index is the market share instability index. On the financial side, the excess volatility of stock prices and idiosyncratic risk also appear to capture the uneven dynamics of creative destruction. The paper concludes by considering the implications of these propositions for economy-wide growth during periods of radical innovation (e.g. GPTs)

The changing market for distribution: implications for Exel Logistics

This paper has been written to compliment a previous Working Paper (The Evolution of a Distribution Brand: The Case of Exel Logistics) and to some extent allows that company’s development (1989- 1993) to be placed in the context of marketplace and industry changes. I wish to examine three of the main trends affecting the distribution industry over the same period. Firstly, the move towards the centralisation of operations by both manufacturers and retailers, secondly at the debate surrounding contracting-out and in-house distribution activities and finally, the issues under consideration must be seen in a wider context - that of distribution and the Single European Market (SEM), which could be said to be the most important development facing the distribution industry for many years. These trends will be discussed in some detail and, where appropriate, from Exel Logistics’ perspective in order to consider how far the company has gone both in dealing with marketplace changes and in achieving its aims.School of Managemen

Managerial satisfaction with subsidiary performance; the influence of the parent MNE's capabilities and the subsidiary's environment

Multinational enterprise performance is one of the most researched topics in the strategic management literature over the last thirty years. Despite the proliferation of studies, the dispute over the relation between firms’ international investment activities and corporate performance has not yet reached a consensus. This paper’s contribution is threefold. First, we focus on entry by West European multinational enterprises into Central and East European countries. Second, we develop a multi-theory argument, combining insights from transaction cost, new institutional, behavioral, resource-based and international strategy theories. Third, we estimate the determinants of managerial satisfaction with subsidiary performance with questionnaire data for a sample of 198 subsidiaries.

Conditions of Development of a Product Ecolabel

Since the early 1990s, national ecolabelling programmes have proliferated worldwide. The European Union (EU) implemented such a regional program in 1991. This decision was part of a broader orientation towards Integrated Product Policy approach in the EU. Since 1991, the development of European ecolabels has been slow and difficult. This paper examines industrial strategies vis-à-vis the EU ecolabel in order to understand the problems faced by the regulator in the development of this ecolabel.The first part of the paper defines and uses the concept of credence good in order to argue that the consumer cannot assess the ecolabel. Based on the examination of the development of the European ecolabel, the second part points out three variables that seem to influence the development of product eco-labels : i) the type of industry (i.e. the degree of heterogeneity between the sets of products sold by the different firms); ii) the threat of direct governmental regulation on the environmental quality of the product; and, iii) the magnitude of the final demand for a green variant of the product. The paper concludes with a discussion of on policy implications for policy makers interested in considering or promoting the use of ecolabels.quality, eco-labeling, voluntary environmental regulation.