Avoiding Malicious Agents in E-Commerce Using Fuzzy Recommendations

This paper presents a complex computing reputation mechanism to be applied in a domain of e-commerce, that handles reputation as a fuzzy set while decision making is inspired in a cognitive human-like approach. This reputation algorithm has been proved in several scenarios where the goal is to avoid (in other words, filter out) the disturbing influence of wrong recommendations from agents with malicious intentions, such as a collusion between a merchant and a recommender. Results show how the evolution of reputation computed with our fuzzy reputation algorithm is compared with other previous reputation models.     

Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid

In liberalized electricity markets, the electricity generation companies usually manage their production by developing hourly bids that are sent to the day‐ahead market. As the prices at which the energy will be purchased are unknown until the end of the bidding process, forecasting of spot prices has become an essential element in electricity management strategies. In this article, we apply forecasting factor models to the market framework in Spain and Portugal and study their performance. Although their goodness of fit is similar to that of autoregressive integrated moving average models, they are easier to implement. The second part of the paper uses the spot‐price forecasting model to generate inputs for a stochastic programming model, which is then used to determine the company's optimal generation bid. The resulting optimal bidding curves are presented and analyzed in the context of the Iberian day‐ahead electricity market.     

Multinationals,national business systems and HRM: the enduring influence of national identity or a process of 'Anglo-Saxonization'

This paper discusses the 'nationality effect' in the management of HRM by multinational companies (MNCs). After reviewing relevant literature in the institutionalist tradition and on 'national business systems', it assesses the elements of national environments that are most likely to influence MNC behaviour. It explores the tensions arising between the requirements of 'globalized' operations and the characteristics MNCs have adopted from their home environment. It is suggested that MNCs respond to such tensions by adopting various adaptation strategies, the most important of which may be termed 'Anglo-Saxonization': a convergence of MNC behaviour around a model typical of highly internationalized British or US MNCs. The argument is illustrated by findings from two German case studies, one of a large manufacturer, the other of a major bank; evidence is found of the Anglo-Saxonization of international HRM in these companies, but it appears to be taking place in a distinctively German manner.     

Cash holdings in private firms

Evidence from a wide sample of Italian private firms shows that cash holdings are significantly related with smaller size, higher risk and lower effective tax rates, therefore supporting predictions from the trade-off model. More cash is also held by firms with longer cash conversion cycles and lower financing deficits, as predicted by the financing hierarchy theory. Reported evidence also shows that dividend payments are associated with more cash holdings, and both bank debt and net working capital represent good cash-substitutes. When controlling for macroeconomic and industry factors, some variables lose their significance, but the general findings are confirmed. Finally, cash-rich companies are found to be more profitable, to pay more dividends and to invest more in a medium-term future horizon.     

Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database

In most countries, national statistical agencies do not release establishment‐level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first‐ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.     

Intangible assets as drivers of innovation: Empirical evidence on multinational enterprises in German and UK regional systems of innovation

The sources of value creation are increasingly relying on intangible assets (IAs). IAs are the lifeblood of knowledge-intensive industries where the new value added is disproportionally based on specialized, non-repetitious activities. However, while the role of IAs is recognised as central to sustain the competitiveness of firms and innovation systems, the understanding of the mechanisms through which IAs display their effects has not yet been fully grasped.By focussing on the processes through which investments in IAs occur, this paper aims to explore the key dimensions through which two specific IAs - organisational and network capital - are enhanced and contribute to the innovativeness and embeddedness of Multinational Enterprises (MNEs) in regional innovation systems. On the basis of over forty in-depth interviews to leading staff of German and UK flagship MNEs operating in the automotive, life science and ICT sectors, the paper shows that MNEs adopt rather distinctive strategies to develop IAs; that MNE degree of local embeddedness is strictly related to both the kind of IA strategy and the local environment; and that causation mechanisms are at work between MNE embeddedness and regional creation of IAs.     

Analysis of innovation in SMEs using an innovative capability-based non-linear model: A study in the province of Seville (Spain)

This article analyzes organizational characteristics associated with innovative outcomes of SMEs in local economies with a low level of technological and R&D activities, where the indicators generally used to gauge technological innovation do not offer sufficient data. For the study of innovation in such economies, we propose a conceptual model based on innovative capability which also includes explanatory variables of environment and other contextual factors of the firms. Through a process of filtering spurious variables and incorporating quadratic components, we have varied the original linear structure to form a quadratic model with greater explanatory capacity and better results. The resulting quadratic model has undergone various contrasts of hypotheses, thus demonstrating the effectiveness of the model as a whole and of its basic components, as well as the importance of the main explanatory variables. Finally, the model has also proven to be valid in all sectors.     

Assessing the risk-return trade-off in loan portfolios

This paper proposes a methodology to analyse the risk and return of large loan portfolios in a joint setting. I propose a tractable model to obtain the distribution of loan returns from observed interest rates and default frequencies. I follow a sectoral approach that captures the heterogeneous cyclical features of different kinds of loans and yields moments in closed form. I investigate the validity of mean–variance analysis with a value at risk constraint and study its relationship with utility maximisation. Finally, I study the efficiency of corporate and household loan portfolios in an empirical application to the Spanish banking system.     

An analysis of the relationship between total quality management-based human resource management practices and innovation

Innovative management models consider human resources to be a key dimension in the innovation process and its performance. In particular, the knowledge of the people making up the staff and their creativity is fundamental. However, scant study has been made of what specific type of policies and practices in human resource management fosters better knowledge, attitudes and behaviour in the staff that will lead to the best performance in innovation. This paper studies the relationship between the policies and practices of human resource management from the viewpoint of total quality management and performance in innovation. Specifically, it is argued that there is a direct relationship, as well as a possible moderating effect, of strategic orientation towards innovation. An empirical study made of 106 Spanish industrial firms found no evidence of this moderating effect, although it did find evidence of a direct relationship and, in particular, of the positive effects of teamwork on technological innovation.     

How organisations generate and use customer insight

Abstract

The generation and use of customer insight in marketing decisions is poorly understood, partly due to difficulties in obtaining research access and partly because market-based learning theory views knowledge as a fixed asset. However, customer insight takes many forms, arrives at the organisation from increasingly diverse sources and requires more than mere dissemination if it is to be useful. A multiple case study approach is used to explore managerial practices for insight generation and use. Multiple informants from each of four organisations in diverse sectors were interviewed. Findings reveal the importance of value alignment and value monitoring across the insight demand chain, to complement the information processing emphasis of extant research. Within the firm, the study suggests the importance of customer insight conduct practices including insight format, the role of automation and insight shepherding, to complement the much-researched process perspective. The study provides a basis for assessing the effectiveness of insight processes by both practitioners and scholars.