Psychological Constructs Underlying Farmers’ Decisions to Diversify or Specialise their Businesses – An Application of Theory of Planned Behaviour

We use the theory of planned behaviour (TPB) to explain how underlying psychological constructs influence farmers’ decisions to extend their farm businesses to income‐generating ventures outside conventional agricultural production. The analysis contrasts the influence of psychological constructs on this decision with those on decisions to specialise in a single farm enterprise or to have multiple farm enterprises. This is one of the first studies to introduce psychological constructs into the study of farm diversification. It is based on a sample of 929 Swedish farms participating in the official Swedish Farm Economic Survey. These data are supplemented with a detailed postal questionnaire to the participating farmers, generating a response rate of 73% and an effective sample size of 679 farmers and their businesses. Data are analysed with factor and multinomial logistic regression analyses. Results show that psychological constructs in TPB (attitude, subjective norm and perceived behavioural control) influence farmers’ decisions regarding the strategy they adopt. Attitude and subjective norm are found to be especially influential in these decisions. Given the prominent role agriculture still has in rural development policy, where the development of new ventures in farm businesses is perceived as the engine for rural economic growth and employment, these findings have clear policy implications.     

The Difficult Path to Lean Product Development

Lean product development holds the promise of dramatically improving a company's competitive position. Its implementation offers the potential for faster product development with fewer engineering hours, improved manufacturability of products, higher quality products, fewer production start-up problems, and faster time to market. Of course, all of this improves the likelihood of market success. As Christer Karlsson and Pär Åhlström point out, however, a company attempting to implement lean product development must overcome numerous obstacles. By spending more than 2 years observing and facilitating one company's efforts to make this transition, they were able to identify various factors that either hinder or support the implementation of lean product development. Lean product development comprises numerous interrelated techniques, including supplier involvement, cross-functional teams, concurrent engineering, integration (as opposed to coordination) of various functional aspects of each project, the use of a heavyweight team structure, and strategic management of each development project. However, a company does not achieve lean product development simply by implementing some of these techniques. A successful move toward lean product development requires approaching these interrelated techniques as elements of a coherent whole. As observed in the subject company, several factors can hinder attempts to achieve lean product development. For example, managerial overemphasis on R&D in development projects hampers efforts to achieve cross-functional integration. In other words, creating a team with members from various functions is easier than achieving a cross-functional focus throughout an organization. Similarly, a cross-functional team cannot perform effectively if a sequential view of the development process persists. Factors that support the transition to lean product development include: tight development schedules, which contribute to a must-do attitude; close cooperation with a qualified customer, who can provide vital information as well as challenge the development team; highly competent engineers; and, most important, the active, ongoing support and participation of top management. Most participants in the process examined in this study seemed interested in the possibilities of lean product development, which suggests that motivation to change may not pose a significant problem in similar efforts.     

Cognitive Maps and a Hyperknowledge Support System in Strategic Management

Strategic management is defined as the system of action programs which form sustainable competitive advantages for a corporation, its divisions, and its business units in a strategic planning period.We have developed a system called Woodstrat to serve as a support system for these action program activities on both the corporate, the divisional, and the business unit levels. The system is modular and is built around the logic of strategic management, i.e., the main modules cover the market position; the competitive position; the production position; and the profitability, investment, and financing positions. The innovation in Woodstrat is that these modules are linked together, i.e., when a strong market position is built into some market segment, it will have an immediate impact on profitability through links running from the assumptions on an expected development to the projected profit/loss statement. There are similar links making the competitive position interact with the market position, and the production position interact with both the market and the competitive positions, and with the profitability and financing positions.The intermodular links are based on expert knowledge of strategic management; expert knowledge is also worked into the modules such that the logic of strategic management guides the user through the process of working out sustainable competitive advantages. The process is made user-supportive with a hyperknowledge user interface. The support is made intuitive and effective with the use of object-oriented expert system technology. The basis for this is rather unusual: the Woodstrat system was built with Visual Basic, in which the objects to create a hyperknowledge environment were built.It is shown that the conceptual constructs which form strategic management can be described with cognitive maps, and that these can be adequately represented with our hyperknowledge objects. It is also shown that the knowledge formation which takes place in a management team when strategic plans are formed can be described and validated with a hyperknowledge support system. It is finally shown that a support system with hyperknowledge features, which are close to the cognitive maps of a management team, will have a profound impact on the depth and the structure of its strategic management processes.     

Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study

The statistical modeling of tourists’ length of stay at destinations is a topic that recently has received much attention from tourism scholars. In this regard, so-called “survival models” have been introduced as a means of studying how a set of independent variables explain variation in the number of days tourists spend at destinations. This paper provides a critical look at these studies. There are two main findings. (1) The various justifications offered for favoring the survival models over the traditional OLS regression do not hold up under closer scrutiny. (2) An empirical study shows that the OLS regression model describes the association between a set of independent variables and length of stay at least as effectively as a battery of survival models. In line with the principle of parsimony it is concluded that future studies on tourists’ length of stay should abandon survival models if they are conducted along similar lines as the ones to date.     

文茨皮尔斯自由港：欲开辟欧亚大陆桥新的桥头堡

欧盟包括拉脱维亚十分重视新亚欧大陆桥这条国际大通道的畅通与发展,拉脱维亚的文茨皮尔斯自由港从地理位置以及本身所具有的功能上都具备欧亚大陆桥西行桥头堡的条件。因为从莫斯科到拉脱维亚的铁路受到欧盟的支持和资金帮助。在欧洲的众多的国营和民营铁路中只有得到欧盟的承认和支持的铁路,其运力才能得到保障。在前苏两时期,拉脱维亚的文茨皮尔斯自由港就是前苏联重要的进出大西洋的港口,而现在俄罗斯的货物仍然选择从文茨皮尔斯自由港运到欧洲各地或从欧洲进口各种货物。     

Speed in a high-speed society

Abstract

Speed control is the most important aspect of promoting road safety world-wide. The question is how are speeds developing? The European Transport Safety Council concludes: There is little progress on reducing speeds in Europe. Similar conclusions can be drawn from the US and Australia. Attitude surveys show that people’s answers are not very consistent and represent statements without any strong bearing on norms or behaviour. Many factors are ‘pro-speed’: higher performance vehicles, more comfort, media coverage, etc. Enforcement, particularly with cameras and with section control is efficient, but the scale of adoption is too small. Traffic calming is efficient in cities, but the most obvious measure is one that makes it impossible to drive faster than the speed limit. During the last 30 years, a few trials have taken place which are promising; speeds at or below the speed limit, improved behaviour, and attitudes. The predicted effect is a reduction of up to 50% of fatalities in a regulation-driven scenario and a benefit to cost ratio of 3.5 to 4.8. It is time for authorities to see to it that lower speeds with the help of efficient vehicle-based solutions becomes part of the agenda.     

Sticky Swedes and flexible Finns: manufacturing labour markets in Finland and Sweden during the Great Depression

ABSTRACT

Nominal wage stickiness is a popular explanation for the greatness of the Great Depression. According to the sticky-wage explanation, the slow adjustment of nominal wages raised real wages above the market-clearing level, causing a reduction of output and labour, thus increasing unemployment. Explanations for nominal wage stickiness are usually sought within the labour-market institutions and their changes after the First World War. This paper examines the role of labour-market institutions by comparing manufacturing labour markets in Finland and Sweden. These two countries had quite similar economic structures, trade patterns, and exchange rate policies, but different systems of industrial relations. Results indicate that stronger trade unions and collective bargaining made nominal wages stickier in Sweden, while in Finland, where collective agreements did not exist, unions were weaker, and wage adjustment was more flexible. As a result, real product wages rose in Sweden but fell in Finland. This created in Sweden stronger pressure for reducing labour input than in Finland. Our results show on one hand that labour market institutions clearly influenced the course of the Great Depression, but on the other hand that they alone do not explain the different economic outcomes during the depression and the recovery.     

The Swedish model and the future of labour standards after Laval

This article reflects on the European Court of Justice ruling in the case of Laval, involving Latvian posted workers in Sweden. It analyses the implications of the ruling and ensuing debate over the Laval case for the future of the ‘Swedish model’ and labour standards. It suggests that profound dilemmas now face trade unions both at Swedish national and European level as to appropriate strategies to adopt to defend national pay and working conditions in the light of the European Court decision and especially in the Swedish context due to the subsequent ruling by the Swedish Labour Court. Nevertheless, a human rights discourse is emerging in which the European Court of Human Rights may act as a counterbalance to the European Court of Justice, especially in the context of the Lisbon Treaty.     

Assessing early warning signals of currency crises: a fuzzy clustering approach

In the period of 1990s alone, four waves of financial crises occurred around the world. The repeated occurrence of financial crises stimulated a large number of theoretical and empirical studies on the phenomena, in particular studies on the determinants of or early warning signals of financial crises. Nonetheless, the different studies of early warning systems have achieved mixed results and there remains much room for further investigation. Since, so far, the empirical studies have focused on conventional economic modelling methods such as simplified probabilistic models and regression models, in this study we examine whether new insights can be gained from the application of the fuzzy clustering method. The theories of fuzzy sets and fuzzy logic offer us the means to deal with uncertainties inherent in a wide variety of tasks, especially when the uncertainty is not the result of randomness but the result of unknown factors and relationships that are difficult to explain. They also provide us with the instruments to treat vague and imprecise linguistic values and to model nonlinear relationships. This paper presents empirical results from analysing the Finnish currency crisis in 1992 using the fuzzy C‐means clustering method. We first provide the relevant background knowledge and introduce the fuzzy clustering method. We then show how the use of fuzzy C‐means method can help us to identify the critical levels of important economic indicators for predicting of financial crises. Copyright © 2007 John Wiley & Sons, Ltd.