Patent-based inventor profiles as a basis for human resource decisions in research and development

Profiles of inventors' technological competence are a valuable source of information for decision-making in research and development (R&D) management, e.g. concerning inventor assessment, human resource development and R&D team-building. In the following exposition, a new method of inventor profiling will be put forward, which is based in particular on semantic patent analysis and multidimensional scaling. First, in the course of semantic patent analysis, specialized software, equipped with a natural language processor, reads the patent text transferring the contents into a subject–action–object–format (SAO). The extracted SAO structures are then used to create similarity matrices for patents or patent sets, respectively, according to a specific similarity value. Subsequently, an inventor competence map can be produced by means of multidimensional scaling.
The benefits of this method for R&D-related issues in human resource management will be illustrated by the example of a German mechanical engineering company. Two distinct types of profiles were generated and tested: (i) the profile of a single key inventor and (ii) a profile of key inventor sets. The single key inventor profile gives information on the range of competence, i.e. the homogeneity or heterogeneity of a certain inventor's competences, providing far more detailed insights than resorting to bibliographic data like international patent classification (IPC) classes or citations, whereas the latter kind of profile establishes the position of a certain key inventor in relation to others, helping to highlight specific groups of inventors and their domains. These results are clearly apt to support human resource management.     

Organizational learning and market orientation: interface and effects on performance

This paper discusses the relationship between market orientation and organizational learning and, in particular, the former's contribution to the generation of double-loop learning. Although prior contributions on this topic have been controversial, the authors, departing from the principles of RBV, consider market orientation a resource capable of generating higher order organizational learning and, in this way, capable of additionally reinforcing firms' sustainable competitive advantage. The empirical study provides evidence on the existing relationship between a firm's learning and market orientation degree and the organization's economic and non-economic results. Findings indicate that learning orientation stimulates the market-oriented behavior and that it also positively affects the establishment of long-term relationships with strategic clients. Contrary to prior research a significant and positive effect on business performance is only contrasted in the case of market orientation.     

Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty

The notional defined contribution model combines pay-as-you-go financing and a defined contribution pension formula. This paper aims to demonstrate the extent to which liquidity and solvency indicators are affected by fluctuations in economic and demographic conditions and to explore the introduction of an automatic balancing mechanism (ABM) into the pension scheme. We demonstrate that the introduction of an ABM reduces the volatility of the buffer fund and that, in most cases, the automatic mechanism that re-establishes solvency produces the highest value of the risk-adjusted notional factor.     

Bank Competition with Financing and Savings Substitutes

This paper models the banking competition in loan and deposit markets on two levels. We measure the competition among different banks and among banks and non-bank financing and saving alternatives. We estimate a model of demand, cost, and market equilibrium equations for differentiated products by using data from the confidential reports that Spanish banks provide to the Bank of Spain during the period from 1988 to 2003. This database contains information on the effective interest rates on new loans and deposits, and the expected loan losses obtained from the Spanish Credit Register. The estimated price elasticities show that the products offered by different banks are close substitutes, which puts pressure on the banks’ profits margins. However, the substitutability between bank and non-bank products is much lower than the substitutability among products offered by different banks. The results also show that Spain’s entrance into the Eurozone did not cause a structural change in the demand and cost conditions of Spanish banks. The banks financed most of the imbalances between bank loans and domestic deposits before the crisis through the interbank market.     

Board of Directors and CSR in Banking: The Moderating Role of Bank Regulation and Investor Protection Strength

This paper brings together research on boards of directors as the backbone of corporate governance and corporate social responsibility (CSR) practices in the banking industry. The underlying idea is that some characteristics of bank boards, in particular independence and gender diversity, may impact the CSR commitments of banks. By making use of a sample of 159 banks in nine countries during the period 2004–2010, our empirical evidence suggests that banks with more independent directors and more female members on their boards incline toward socially responsible behaviour. Our results also suggest that institutional factors play a significant role in these effects. They show that in greater regulatory and stronger investor protection environments, board independence and gender diversity have more influence on the social behaviour of banks.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.     

Relationship Between Sustainable Development and Financial Performance: International Empirical Research

The aim of this paper is to clarify the relationship between companies' sustainable behavior and their financial performance (FP), which has been studied for several years without reaching a consensus on the effect and the direction of it. Hypotheses are tested for an unbalanced sample of 1960 multinational non‐financial listed companies from 25 countries and one administrative region for the period between 2002 and 2010. Due to the use of an international database and the differences among countries, it is possible to observe divergence between institutional settings. For this reason, a corporate governance system (Anglo‐Saxon, Germanic, Latin and Asian) is used as characteristic of the macro‐environment. Results obtained via the generalized method of moments estimator allow us to support the existence of a positive bidirectional relationship between corporate social responsibility and FP, evidencing the existence of a synergistic circle. The use of market value indicated that investors are able to identify economic, social and environmental practices generating a positive effect on FP. These relationships differ between corporate governance systems, due to the specific characteristics of each system. Findings are robust for each sustainable sub‐index (society, human rights, environmental and board). Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Creation of models for calculation of coefficients of terrain passability

Quality & Quantity - The content of this article is a paper about a complex mathematical model of terrain passability which respects geographical and meteorological conditions in terrain and...     

Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.