| 11. |
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| 12. |
- Aas, Marit, et al.
(författare)
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Benchlearning as professional development of school leaders in Norway and Sweden
- 2018
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Ingår i: Professional Development in Education. - : Taylor & Francis. - 1941-5257 .- 1941-5265. ; 44:1, s. 62-75
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we investigate a new national collaborative Benchlearning program for principals in Norway and Sweden. Four process leaders have been running the program. The aim is to give the participants the knowledge to develop a leadership practice and school environment that are more innovative. The program includes theoretical inputs, sharing experiences, school visits, training, and trialing of new leadership practices. Drawing on data from surveys, participants’ reflections, and the leaders’ descriptions of new leadership practice, we examine and identify successful and critical aspects of the learning process. The findings show that principals’ motivation and willingness to start change processes can be created in a synergy between structured school visits, work in learning groups, and a theoretical foundation. Working in groups across schools in two countries seems to enhance principals’ sense of efficacy, which in turn is shown to have a positive effect on their willingness to trial new practices. Two implications of the study are suggested. First, in the design of principal programs, systematic and critical reflection about authentic practice should be the basis. Second, educators should be trained to be process leaders who can support principals’ learning during a critical and social construction of a new practice.
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| 13. |
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| 14. |
- Aas, T. H., et al.
(författare)
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Outbound open innovation in tourism : Lessons from an innovation project in Norway
- 2021
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Ingår i: Managing Open Service Innovation. - : World Scientific. - 9789811234491 - 9789811234484 ; , s. 167-185
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The concept of open innovation was introduced by Henry Chesbrough in 2003 and refers to firms' use of inflows and outflows of knowledge to improve innovation processes. The concept has received considerable scholarly attention, but most research has focused on how manufacturing firms can manage inflows of knowledge during their product innovation processes. How outflows of knowledge can be managed by service firms during their innovation processes has until now not received the same scholarly attention. In this chapter, we therefore aim to contribute in filling this knowledge gap by observing an innovation project in tourism during its implementation. The findings suggested that tourism firms reveal different types of knowledge to other tourism firms in non-pecuniary outbound open innovation processes. In this case the knowledge was revealed in joint workshops where several firms participated and in bi-lateral meetings between two firms, and sometimes the knowledge was transferred via consultants or researchers that acted as "knowledge mediators". The findings also suggested that tourism firms decided to reveal knowledge to other firms to improve their image, increase the market size and to sharpen up their own business. Implications for management as well as the need for further research are discussed in the chapter.
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| 15. |
- Abadzhiev, Andrey, 1980-, et al.
(författare)
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Managing the complexity of green innovation
- 2022
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Ingår i: European Journal of Innovation Management. - : Emerald Group Publishing Limited. - 1460-1060 .- 1758-7115. ; 25:6, s. 850-866
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Green innovation can promote both environmental sustainability and economic growth. However, its development and implementation can be complex due to the need to align innovation activities within and across companies. In this study, the authors examined how this complexity can be managed by analyzing how individual companies combine different innovation activities to develop green innovation, and how companies along the value chain align to implement these innovations. Design/methodology/approach The dataset comprises both interviews and a survey of senior executives from the Swedish wood construction industry. These data were first analyzed by using fuzzy set qualitative comparative analysis (fsQCA) to identify innovation activity configurations at the level of the individual company. The interviews were then analyzed to identify alignment mechanisms enabling the implementation of green innovation along the value chain. Findings At the company level, the authors found three innovation activity configurations with varying levels of complexity: (1) systemic innovation by proactive companies, (2) process innovation by reactive companies and (3) inaction by technology-independent companies. On the value chain level, the authors found three alignment mechanisms that facilitate the implementation of green innovation along the value chain. These mechanisms promote cooperation by increasing efficiency, opening up new market opportunities and increasing the level of servitization. Originality/value This paper analyzes the complexity of green innovation and provides novel insights into how complexity is managed at the level of both the individual company and the value chain.
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| 16. |
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| 17. |
- Abadzhiev, Andrey, 1980-
(författare)
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Wood We Change? : Business Model Innovation Towards Sustainability Transitions: Studying the Wood Construction Industry
- 2021
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Innovations based on sustainable technologies have been widely considered as a remedy for addressing societal and environmental problems in many industries. However, the large-scale adoption of such innovations goes beyond technology and requires organizing the business in a way that drive industrial transformations across actors and system layers, such as market structures, institutional frames, consumer behavior, and business values. The aim of this dissertation is to understand how industrial firms organize for system change towards sustainability. The study is a compilation of two papers within the same research context: the development of sustainable technology in the construction industry. The overlapping unit of analysis for both papers is business model innovation. Paper I examines how industry firms combine and complement business models with different innovation types to accelerate sustainable technology. Paper II identifies how a change in the business model and value creation logic that occur on a firm level accelerate sustainable technology and shape the socio-technical system. Together, both papers help paint a more complete picture of the business model role in transitions towards sustainability. The theoretical frame of this dissertation spans several domains: business model, innovation management, and sustainability transitions. Building on a multi-disciplinary premise, the study takes into account the organizational and the systemic parts of the change process by linking the company perspective (business models) to the wider governance of sustainability transitions. The findings underline the importance of business models that combine production efficiency with higher customer engagement and more collective value creation for driving larger-scale transitions toward sustainability. Moreover, business models in combination with different innovation types, such as product, process and positioning, act together and complement each other to achieve high sustainability and business outcomes.
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| 18. |
- Abas, Naeem, et al.
(författare)
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Dynamic simulation of solar water heating system using supercritical CO2 as mediating fluid under sub-zero temperature conditions
- 2019
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Ingår i: Applied Thermal Engineering. - Oxford, UK : Pergamon Press. - 1359-4311 .- 1873-5606. ; 161
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Tidskriftsartikel (refereegranskat)abstract
- CO2 is becoming increasingly important as a mediating fluid, and simulation studies are indispensable for corresponding developments. In this study, a simulation-based performance investigation of a solar water heating system using CO2 as a mediating fluid under sub-zero temperature condition is performed using the TRNSYS (R) software. The maximum performance is achieved at a solar savings fraction of 0.83 during July. The as lowest solar savingss fraction of 0.41 is obtained during December. The annual heat production of the proposed system under Fargo climate is estimated to be about 2545 kWh. An evacuated glass tube solar collector is designed, fabricated and tested for various climate conditions. Moreover, a detailed comparison of the system's performance at sub/supercritical and supercritical pressures shows that the annual heat transfer efficiency of the modeled system is 10% higher at supercritical pressure than at sub/supercritical pressures. This result can be attributd to the strong convection flow of CO2 caused by density inhomogeneities, especially in the near critical region. This condition resuls in high heat transfer rates.
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| 19. |
- Abascal, Angela, et al.
(författare)
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AI perceives like a local : predicting citizen deprivation perception using satellite imagery
- 2024
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Ingår i: npj Urban Sustainability. - : Springer Nature. - 2661-8001. ; 4:1
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Tidskriftsartikel (refereegranskat)abstract
- Deprived urban areas, commonly referred to as ‘slums,’ are the consequence of unprecedented urbanisation. Previous studies have highlighted the potential of Artificial Intelligence (AI) and Earth Observation (EO) in capturing physical aspects of urban deprivation. However, little research has explored AI’s ability to predict how locals perceive deprivation. This research aims to develop a method to predict citizens’ perception of deprivation using satellite imagery, citizen science, and AI. A deprivation perception score was computed from slum-citizens’ votes. Then, AI was used to model this score, and results indicate that it can effectively predict perception, with deep learning outperforming conventional machine learning. By leveraging AI and EO, policymakers can comprehend the underlying patterns of urban deprivation, enabling targeted interventions based on citizens’ needs. As over a quarter of the global urban population resides in slums, this tool can help prioritise citizens’ requirements, providing evidence for implementing urban upgrading policies aligned with SDG-11.
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| 20. |
- Abbas, Muhammad Tahir, et al.
(författare)
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An adaptive approach to vehicle trajectory prediction using multimodel Kalman filter
- 2020
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Ingår i: European transactions on telecommunications. - : Wiley-Blackwell. - 1124-318X .- 2161-3915.
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Tidskriftsartikel (refereegranskat)abstract
- With the aim to improve road safety services in critical situations, vehicle trajectory and future location prediction are important tasks. An infinite set of possible future trajectories can exit depending on the current state of vehicle motion. In this paper, we present a multimodel-based Extended Kalman Filter (EKF), which is able to predict a set of possible scenarios for vehicle future location. Five different EKF models are proposed in which the current state of a vehicle exists, particularly, a vehicle at intersection or on a curve path. EKF with Interacting Multiple Model framework is explored combinedly for mathematical model creation and probability calculation for that model to be selected for prediction. Three different parameters are considered to create a state vector matrix, which includes vehicle position, velocity, and distance of the vehicle from the intersection. Future location of a vehicle is then used by the software-defined networking controller to further enhance the safety and packet delivery services by the process of flow rule installation intelligently to that specific area only. This way of flow rule installation keeps the controller away from irrelevant areas to install rules, hence, reduces the network overhead exponentially. Proposed models are created and tested in MATLAB with real-time global positioning system logs from Jeju, South Korea.
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