Lars Bengtsson

Prof. Lars Bengtsson

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Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2005 in Hydrology Research
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LBLars Bengtsson
Lars Bengtsson
LGLennart Grahn
Lennart Grahn
JOJonas Olsson
Jonas Olsson
The runoff from and the water balance of a thin extensive green roof with sedum-moss have been studied. The soil cover is about 3 cm underlain by a thin drainage layer. The water balance is determined on a monthly basis. The runoff from the green roof is much reduced compared to runoff from hard roofs because of evapotranspiration. The annual runoff is rather close to that of natural river basins. Although most rainy days there is no or little runoff from the roof, the highest observed daily runoff values are close to the daily rainfall. Runoff is initiated when the soil is at field capacity, which for the studied roof corresponds to 9 mm storage. After that, on a not very short time basis, the runoff equals the precipitation. The reduction of the daily runoff can be described in a simple way knowing the daily precipitation, potential evaporation and storage capacity of the green roof.

30 July 2018 in Journal of Responsible Innovation
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BRBarbara Ribeiro
Barbara Ribeiro
LBLars Bengtsson
Lars Bengtsson
PBPaul Benneworth
Paul Benneworth
SBSusanne Bührer
Susanne Bührer
ECElena Castro-Martínez
Elena Castro-Martínez
PSPhilip Shapira
Philip Shapira
In this discussion paper, we outline and reflect on some of the key challenges that influence the development and uptake of more inclusive and responsible forms of research and innovation. Taking these challenges together, we invoke Collingridge’s famous dilemma of social control of technology to introduce a complementary dilemma that of ‘societal alignment’ in the governance of science, technology and innovation. Considerations of social alignment are scattered and overlooked among some communities in the field of science, technology and innovation policy. By starting to unpack this dilemma, we outline an agenda for further consideration of social alignment in the study of responsible research and innovation.

3 June 2019 in European Journal of Innovation Management
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IBIzabelle Bäckström
Izabelle Bäckström
LBLars Bengtsson
Lars Bengtsson
Purpose: The purpose of this paper is to systematically explore the current understanding of the role of non-R&D and non-managerial employees in different phases and types of innovation, and to propose avenues for future research.Design/methodology/approach: By conducting a mapping study and applying a critical discourse analysis, the phenomenon of “ordinary” employee innovation is explored across various fields, such as human resource management, psychology, economics, strategy, marketing and technology management. Proposals for future research are suggested based on the theoretical framework of dynamic capability, with the aim of further integrating employee innovation in the innovation management domain.Findings: The findings illuminate five main themes that form the employee innovation discourse across various academic disciplines, namely, employee innovative work behavior, firm innovation performance, employee innovation processes, frontline service employees and management tools for employee innovation.Originality/value: Unlike prior studies in the field of innovation management, this study specifically focuses on the employees without innovation-specific functions in organizations, or “ordinary” employees. Concerning the methodological lens of critical discourse analysis, the authors suggest forming the employee innovation discourse in an inclusive manner. Based on the theoretical lens of dynamic capability, a research agenda is proposed in which employee innovation research makes additional use of innovation processes and types, and takes into account the interactive processes and strong empirical evidence for relevant management tools.

1 June 2005 in Hydrology Research
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LBLars Bengtsson
Lars Bengtsson
The runoff from real 3 cm thick sedum-moss roofs and from laboratory roof plots in southern Sweden is measured and analysed. Real rains and artificial storms are used for the analysis. The probability of high runoff is compared with the probability of high precipitation intensity. Intensity–duration–frequency curves for runoff are derived and it is found that the runoff of 1.5 year return period corresponds to rain of 0.4 year return period. The storage of water in the soil–vegetation cover on the roof is determined. The storage at field capacity, when runoff is initiated, is about 9 mm. Water in excess of that is temporary stored during storms. The runoff distribution during prolonged storms can be related to the mean rain intensity over 20–30 min. The influence of the slope and length of the roof on the runoff peak is investigated as is the effect of the drainage layer. Neither slope nor length seems to significantly influence the runoff distribution, which indicates that the vertical percolation process through the vegetation and the soil dominates the rainfall–runoff process. The presence of a drainage layer below the soil results in somewhat faster runoff compared to when there is no drainage layer, and thus results in an increased runoff peak.

28 November 2019 in Review of Managerial Science
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MMMirella Muhic
Mirella Muhic
LBLars Bengtsson
Lars Bengtsson
Current research offers very limited insights on the process of how the adoption and continued use of cloud sourcing might trigger and push the development of business model innovation and affect the competitive advantage of a firm. Applying an abductive approach, with two longitudinal case studies of cloud sourcing firms, and a theoretical framework based on stage-based models of business model innovation and the dynamic capability view of the firm, we develop a model of stage-based business model innovation related to the adoption and continued use of cloud sourcing. The model identifies three business model innovation stages characterized by specific types of capabilities. In between the three stages, we identify three dynamic junctures that the firm and its managers have to overcome to progress from one stage to another. In the dynamic junctures three types of dynamic capabilities were key; sensing, seizing and transformation capabilities, to pass to the next stage. The model contributes to a better understanding of the evolution of dynamic capabilities as well as the evolution of the cloud sourcing firm and cloud-based business model innovation.

22 March 2011 in Hydrological Processes
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LBLars Bengtsson
Lars Bengtsson