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While recent research has referred to a cognitive view on “business modelling,” it remains unclear in specifying the cognitive foundations of how such modelling happens. This paper proposes building on heuristics as models of individual cognition, which have proved effective foundations of adaptive individual and managerial behaviors. By also drawing on gestalt theory to specify principles of modelling as rule-based form giving, we propose business modelling as a managerial cognitive process of configuring heuristics. The paper makes three contributions. First, we introduce heuristics to the business modelling literature and so provide an established theory of adaptive individual behavior that strengthens the cognitive foundations of business modelling. Second, we conceptualize and theorize on the cognitive activity of business modelling as an iterative process of configuring heuristics by applying gestalt principles. Although the literature on business models has referred to the theories of configurations and gestalt, it has been left to this work to make the theoretical linkages between heuristics, gestalt theory and business modelling explicit. Third, our work contributes to the micro-foundations of the cognitive processes underlying business modelling and thus to broader accounts of adaptive managerial behaviors.

Image edge detection is an essential issue in image processing and computer vision. The purpose of this paper is to provide a novel and effective algorithm for image edge detection.

Because GM (1,1) model is a typical model for tendency analysis, GM (1,1) model can be used for detecting edge. Prediction image data are close to the original image data by reason of the data being smooth in the non‐edge zone of image. The principle of edge detection by GM (1,1) model is that the predicted value at an edge point will be an overestimate or underestimate owing to the data changing drastically in the edge zone of the image. First, the edge image information is obtained by a preprocessed image subtracting from prediction image via GM (1,1). Second, median filter is used to eliminate isolated point noise in edge information images, and discrete wavelet transform is used to extract the image edge. Finally, this paper verifies the proposed algorithm by experiment.

Experimental results show that the proposed algorithm has advantages such as precisely locating, abundant weak edge, and better anti‐noise performance.

The algorithm proposed in the paper can precisely detect the information of edge image, and get a clear image detail.

Grey system theory developed vigorously lays the foundation for image processing. Wavelet analysis in image processing has its characteristics. This paper combines grey prediction model with discrete wavelet transform (DWT) successfully and obtains a novel and effective algorithm for image edge detection.

Earlier Nordic comparative studies show variation between countries in child welfare practice, reflecting cultural differences, and that case workers share the norms, values and attitudes of their society. Can cultural factors be concretised for discussion? Child welfare workers in Denmark, Iceland and Norway were presented with five child care stories (vignettes) that focused on the ‘threshold’ between preventive measures and out‐of‐home care (consensual or compulsory). Vignette themes included parental neglect, maternal alcohol misuse and youth problems. Study participants gave written answers to the vignettes and took part in group discussions with colleagues. The results showed significant differences between countries in case workers' responses. Variations in arguments, decisions, use of compulsion and working style reflected national views and priorities. A central dimension was how case workers balanced parental interests with children's needs: in Denmark they were reluctant to intervene with parental rights, whereas the Norwegians were more accepting of compulsory decisions to protect children.

The purpose of this paper is to analyse two questions. First, is there, and if so, how large is the price premium paid for a building exhibiting a cultural value? Second, are there any spillover effects of buildings with cultural values on sales prices of neighbouring houses?

Using a unique database of all buildings in the region of Halland, Sweden, combined with transaction data, hedonic models can be estimated, with spatially lagged variables describing proximity to three classes of culturally classified building – A, B and C – corresponding to building of national interest, building of regional interest and building of local interest. In addition, the authors also estimate models with a spatial specification on the error term, in an attempt to control for omitted variables.

The results indicate that cultural classification plays a role in determining the price of a property, with large effects (ranging between 36 and 60% price premiums) for the highest classification. In addition, the authors find evidence of a cultural externality, houses in the vicinity of building with high cultural value sell at a small, but statistically significant premium of 1%.

The cultural externality may be overlooked when it comes to valuation of cultural values in society, and therefore, it is likely that warranted protection acts to preserve cultural values in buildings become less than the social optimum. This paper suggests a new measure to cultural values contrasting previous research that rely on cultural preservation. This approach should limit problems with measurement errors that may lead to biased results.

There are limited studies of continuous improvement (CI) from the perspective of a project-based organization (PBO). Hence, the purpose of this paper is to explore challenges that PBOs may encounter when applying CI.

An exploratory and qualitative approach has been used, involving six management teams in six different PBOs, using focus groups interviews as data collecting method.

A high degree of autonomy among project managers seems to limit a collective approach to project management in PBOs. As a consequence the overall PBO performance becomes subordinate to the individual project performance—an approach opposite to that of CI. Further, the management teams themselves seem to uphold a project focus, also complicating improvement initiatives from a PBO-perspective.

The management teams have been the unit of analysis, where the PBOs mainly conduct projects in an engineering and construction context, and are located in the same country and region. This approach enables the thorough study of a phenomenon, while preconditions for generalization are limited. However, the findings could be used by researchers as a basis for more in-depth studies of specific challenges, and for making surveys to obtain generalization of results.

The results can induce awareness and understanding of different challenges if applying CI in a PBO, hence a starting point for finding ways to overcome these challenges.

The article contributes to an increased understanding of challenges that PBOs may encounter when applying CI, confirming and presenting additional findings compared to previous studies.

This study reexamines the sustainability of fiscal policy in Sweden.

To test the sustainability of fiscal policy, two approaches are used; the methodology of Kejriwal and Perron (2010), testing for multiple structural changes in a cointegrated regression model and time-varying cointegration test of Bierens and Martins (2010), and Martins (2015).

Using the first approach of testing for multiple structural changes in a cointegrated regression model, the results indicate that government spending and revenue are cointegrated with two breaks. An estimation of a two-break long-run model shows that the slope coefficient increases from 0.678 to 0.892 from the first to the second regime, implying that fiscal deficits were weakly sustainable in the first two regimes, from 1800 to 1943, and from 1944 to 1974. Further, results from time-varying cointegration test indicate that cointegration between spending and revenue in Sweden is time-varying. Fiscal deficits were found to be unsustainable for the periods 1801–1811, 1831–1838, 1853–1860 , 1872–1882, 1897–1902, 1929–1940 and 1976–1982 and weakly sustainable over the rest of the study period.

A number of implications arise from this study: (1) Accounting for breaks in cointegration analysis and in the estimation of the level relationship between spending and revenue is very important because ignoring breaks may lead to an overestimated slope coefficient and hence a bias on the magnitude of fiscal deficit sustainability. (2) In testing for cointegration between spending and revenue, assuming a constant cointegrating slope when it is actually time-varying can also be misleading because deficits can be sustainable for a period of time and unsustainable over another period.

The contribution of this study is three-fold; first, the study uses a long series of annual data spanning over a period of two centuries, from 1800 to 2011. Second, because of the importance of structural change in economics, to examine the existence of a level relationship between spending and revenue, the study uses the methodology of Kejriwal and Perron (2010) to test for multiple structural changes in a cointegrated regression model, as well as time-varying cointegration of Bierens and Martins (2010) and Martins (2015).

Many doctoral students never obtain a doctoral degree, and many do not finish their studies in time. To promote aspects of effectiveness and efficiency in doctoral studies, the purpose of this paper is to explore a project perspective, more specifically how doctoral students experience their studies in terms of key dimensions of projects.

Written reflections concerning a project perspective in doctoral studies, based on 18 students at a Swedish university, have been categorised and analysed by the means of the qualitative research software NVivo.

Main findings are reflections on the project manager role including both the supervisor and the doctoral student, and different views on project control parameters and the concepts goal-seeking and goal-orientation. A more comprehensive picture of project planning is presented, compared with the Individual Study Plan, including different project methods and tools that can be suitable in a doctoral project.

The study is based on a limited number of doctoral students; however, the aim has been to give examples of project perspectives. The findings could be valuable for increased understanding of doctoral studies and of the project management field in general.

The study can induce awareness among doctoral students and supervisors of a project perspective in doctoral studies, promoting aspects of efficiency and effectiveness.

Compared to previous research, this study explicitly tries to understand how doctoral students make sense of their doctoral studies from a project perspective.

The purpose of this paper is to explore the environmental impact of logistics service provider (LSP) activities in the light of customer priorities and the fragmentation of the road haulage industry in Europe. It also explores the extent to which LSPs can actually monitor the environmental impact of logistics activities in the supply chain (SC).

The research is based on a narrative literature review, an interview study, a case survey and three in-depth case studies. A framework on sustainability challenges in SCs, derived from the literature, is used to structure and analyse the findings.

Despite the ambitious environmental schemes communicated by several LSPs, they show little interest in, and exert little control over, the actual emissions generated from their transport operations. It is clear from the results that any real concern from customers for environmental solutions which negatively influence the cost and time requirements of logistics services is not yet a reality.

This paper implies that LSP sustainability cannot be investigated in isolation if a company does not manage its proprietary resources (like owning trucks and employing drivers), but rather engage subcontractors.

Environmental policies among different LSPs appear to be similar as policies, but differ in practice. This variation of practices emphasises the importance of follow-up control by environmentally aware buyers of logistics services.

This paper represents a novel approach as to how LSP environmental policies should be viewed. It highlights the concrete need for action to achieve the environmental targets of 2020 and 2050 for carbon emissions from road transportation.

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors endeavor to investigate whether the effects vary among different areas within the municipality, for different groups of inhabitants and for different types of housing (i.e. public versus private housing).

The authors use a difference-in-difference specification in a hedonic model, and the sample consists of more than 90,000 observations over the period 2005-2013.

The results are robust and indicate that house prices in nearby areas increase following the completion of infill development. The results also indicate that infill development has a positive spillover effect on nearby dwelling prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.

It provides an analysis on how nearby property prices are affected by new construction projects by creating a restricted control area, so as to make the treatment group and the control group more homogeneous. Thus, it mitigates any potential problems with spatial dependency, which can cause biased standard errors.