Combining data and text mining techniques for analysing financial reports

There is a vast amount of financial information on companies' financial performance available to investors in electronic form today. While automatic analysis of financial figures is common, it has been difficult to extract meaning from the textual parts of financial reports automatically. The textual part of an annual report contains richer information than the financial ratios. In this paper, we combine data and text mining methods for analysing quantitative and qualitative data from financial reports, in order to see if the textual part of the report contains some indications about future financial performance. The quantitative analysis has been performed using self‐organizing maps, and the qualitative analysis using prototype‐matching text clustering. The analysis is performed on the quarterly reports of three leading companies in the telecommunications sector. Copyright © 2004 John Wiley & Sons, Ltd.     

Consumer Self-Control Strategies: An Empirical Study of Their Structure and Determinants

People use self-control strategies to overcome time-inconsistent preferences. In the present study one aim was to test a two-factor model of consumer self-control strategies that divides them into desire-reducing and willpower strategies. Another aim was to explore what may determine the use of such strategies. Exploratory and confirmatory factor analyses gave support for the two-factor model of self-control. A positive attitude toward risk taking as well as the intention to reduce consumption in response to economic impairment predicted a decrease in the use of both strategies. Financial situation, age, and sex were found to influence the use of desire reduction and willpower in different directions. Income was not a predictor of the use of self-control strategies.     

Reconciling introspective utility with revealed preference: Experimental arguments based on prospect theory

In an experiment, choice-based (revealed-preference) utility of money is derived from choices under risk, and choiceless (non-revealed-preference) utility from introspective strength-of-preference judgments. The well-known inconsistencies of risky utility under expected utility are resolved under prospect theory, yielding one consistent cardinal utility index for risky choice. Remarkably, however, this cardinal index also agrees well with the choiceless utilities, suggesting a relation between a choice-based and a choiceless concept. Such a relation implies that introspective judgments can provide useful data for economics, and can reinforce the revealed-preference paradigm. This finding sheds new light on the classical debate on ordinal versus cardinal utility.     

Health and development∗

The linkage between development and health is clearly spelt out in the definition of primary health care by the World Health Organisation. There is a widespread and growing disillusionment with the traditional Western approach to health care which fails to meet the real demands of the Third World situation.

This paper looks briefly at conditions in the developing world and the strategy proposed by the W H O to attempt to meet the objective of health for all by the year 2000 and refers to the South African situation.     

Are we ignoring supply shocks? A proposal for monitoring cyclical fluctuations

Although there are several mechanisms within theoretical models acknowledging that supply shocks can account for an important part of output fluctuations, even in the short-run, policy practitioners continue endorsing the idea that only demand shocks explain them. This article provides empirical evidence on several Latin American countries and the USA to show that the share of output variance explained by supply shocks in the short-run is substantial. It also offers a more agnostic implementation of the Blanchard–Quah type of structural analysis that focuses on policy evaluation. For this purpose, we propose constructing two indicators out of the historical decomposition of shocks: the goods market unbalance (GMU) and the total cyclical fluctuations (TCF). While GMU is an excess demand measurement that reveals the scope of the distortions caused by shocks, TCF, combined with GMU, helps to understand what type of shock is predominantly explaining (output and inflation) fluctuations. These two pieces of information provide a very different diagnosis than traditional output gaps and should guide monetary policy interventions more adequately. The agnosticism of this proposal has two aspects: the use of a different identification strategy and the assessment of the effects of both supply and demand shocks on output.

     

Tipping the scale? The workings of monetary policy through trade

The monetary policy entails demand‐augmenting and diverting effects, and its impact on the trade balance—and on other countries—depends on the magnitude of these opposing effects. Using U.S. data and a sign‐restricted structural vector autoregressive identification, we investigate the importance of these effects. Overall, the results indicate that a monetary loosening (tightening) leads to a strengthening (weakening) of the overall trade balance, indicating that demand diversion dominates. The paper also explores changes in the effects following the global financial crisis, reflecting the impaired monetary transmission mechanism.     

Service innovation as a political process

Service innovation processes are driven by stakeholders in interaction and are understood and sketched as a value negotiation process that consists of an iterative process of securing potential value in service. While previous research has focused on service innovation as a harmonious closed system, our study explores service innovation as a political process in which stakeholders negotiate to create and secure future value. Data are collected through interviews and participant observations in four different case studies. Our study contributes to the field by illuminating service innovation as a political process and explaining how this is operationalized. The findings also contribute to an understanding of how stakeholder resources impact a chosen strategy; the resulting strategy’s impact on the service concept vis-à-vis its potential value; and how several involved stakeholders formulate, negotiate, and secure future potential value, which are the activities that drive a service innovation process.     

After over 25 years of accrediting beaches,has Blue Flag contributed to sustainable management?

This paper examines the qualitative, quantitative, and geographical evolution (1987–2012) of the Blue Flag campaign and accreditation process in Spain, a leading coastal tourism destination heading the list of awards. The standard Blue Flag criteria for crowded, developed beaches are now adapting to new demands for natural beaches, but they still fail to capture essential sustainable tourism features, such as limiting user numbers, or preserving and restoring sand ecosystems. Given these shortcomings, some destinations are moving to alternative awards with a higher environmental commitment, such as EMS, ISO14001, and Eco-Management and Audit Schemes (EMAS). A cluster analysis of Blue Flag data for 983 beaches in Spain over 26 years revealed different behaviour patterns: established tourist areas that have always opted for the Blue Flag programme; tourist areas that adopted the Blue Flag early on but replaced it with ISO14001 and EMAS; recently developed destinations applying for the award to boost their tourism promotion; and tourist areas with no well-defined policy that have opted intermittently for Blue Flag. These profiles illustrate the different policies of Spain's Autonomous Regions, and they are useful for tourism managers to verify whether their destination's behaviour pattern contributes to sustainable tourism and matches strategic policies they have designed for them.     

Technology Sharing in Manufacturing Business Groups

Technology represents the primordial force for companies and organizations in securing long‐term competitiveness. In the intensive search to access new technology, organizations are more and more looking beyond the borders of the focal firm and becoming involved in various networks with suppliers, consultants, partners, and others. However, the distinction between the focal firm, on the one hand, and networks, on the other, is in this paper argued to be too extensive without intermediating nuances. Less focus is given to an in‐between perspective configured by business groups or concerns here defined as parent corporations with subsidiary companies. It is this perspective of business groups with characteristics between individual firms and open networks that is of interest in this paper. The focus is on manufacturing business groups in which the companies will typically have individual as well as common technologies. The research aim is to develop a framework to be used as an analytical tool for understanding and organizing technology sharing in manufacturing business groups. The research approach was to study technology sharing in a natural setting combining multiple in‐depth sources of evidence in a clinical research setting. A prestudy identified key dimensions in classifying cases leading to four clusters of typified cases. Data were gathered from meetings with 24 managers from various research and development (R&D) units who met regularly every other week during seven months, in‐depth interviews, internal documents and protocols, and workshops. Following the clinical field‐study approach, findings are theoretically validated in relation to literature. The analysis identifies and depicts four different types of technology‐sharing scenarios in manufacturing business groups. Each type has particular characteristics of its own. The four scenarios together provide a synthesized portfolio with different types of dimensions. A first dimension makes a distinction between sharing new technology development versus existing technology. Another distinguishes between technologies aimed at the whole business group and those aimed at specific segments. The two dimensions together comprise four different types of technology‐sharing alternatives. Each one of them can be used at the focal firm, and together, they are applicable from a business group perspective comprising technology‐sharing portfolios of manufacturing business groups.     

How risk influences the choice of governance mode in biopharmaceutical inter-firm relationships

This paper proposes a new theoretical framework for assessing the influence of risk in shaping the governance form in biopharmaceutical inter-firm relationships. In particular, we propose a multidimensional operationalization of relational and performance risk and, by following Transaction Cost Economics (TCE) and Real Options (RO) theory constructs, we hypothesize a relation between the aforementioned risk components and the choice of governance form. Specifically, following TCE reasoning, we hypothesize that a high level of relational risk leads towards more hierarchical governance forms, while, following RO theory, we hypothesize that a high level of performance risk leads toward market-oriented governance forms; finally, we hypothesize a moderating effect of each risk component on the other. We empirically test our framework through the analysis of 353 inter-firm relationships signed worldwide between pharmaceutical and biotech companies from 2007 to 2010. The results show substantive support for our theoretical framework. Furthermore, we find a significant moderating effect of the performance risk on the TCE relation between relational risk and governance forms.