Digital age business model innovation for sustainability in University Industry Collaboration Model

Happonen, Ari; Santti, Ulla; Auvinen, H.; Räsänen, Teemu; Eskelinen, Tuomo

doi:10.1051/e3sconf/202021104005

Cited by 22 publications

(16 citation statements)

References 44 publications

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“…Moreover, some complex work phases (e.g., log lifting) can be operated by a human operator remote-controlled and the rest of the work tasks are carried out autonomously. Generally, more research is needed to introduce autonomous machinery in the mill yard environment and new stake holders, sustainability aspects and digitalization related challenges [81] has to be taken into consideration, when proceeding with this development efforts. In future research, we suggest expanding the search to include other databases and gray literature to ascertain further suitable technological solutions.…”

Section: Discussionmentioning

confidence: 99%

Toward Autonomous Vehicles and Machinery in Mill Yards of the Forest Industry: Technologies and Proposals for Autonomous Vehicle Operations

et al. 2022

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The use of autonomous systems on the wood processing sites of forest industries can significantly increase safety, productivity, and efficiency by reducing the number of monotonous and dangerous tasks conducted by human labor utilizing heavy machinery. However, autonomous machines are challenging and difficult to implement in the mill yards environment because of the dynamic and complex working environment, and partly unstructured processes. The inherent complexity of wood handling and storage tasks is requiring significant human expertise. Fast advancements in sensor technologies, machine learning techniques, and increases in the computational power enable progress in automated operation framework and algorithms development. This opens the door to introduce novel autonomous systems into this environment. With the aim of gaining a better understanding of current issues and facilitating optimal strategies for deploying high-level autonomous systems for the mill yard environments, this study: (1) Utilized a systematic literature review to map current autonomous technologies and algorithms suitable for adoption by the forest industry in automation of vehicles working in mill yards; (2) Summarizes and discusses the potential feasibility of the considered sensors and systems, adaption strategy, and high-level autonomous machinery implementation challenges in the mill yard environment; and (3) Proposes a system framework that integrates multiple technologies to enable autonomous navigation and material handling in mill yards. The study is the first of its kind as a comprehensive study on autonomous vehicles and machinery in mill yard environments. Our novel framework aids in the identification of follow-up research areas and thus promotes the adoption and use of complex autonomous systems in industrial environments.

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Section: Discussionmentioning

confidence: 99%

Toward Autonomous Vehicles and Machinery in Mill Yards of the Forest Industry: Technologies and Proposals for Autonomous Vehicle Operations

et al. 2022

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“…We suggest future research to look up into opportunities on developing new sustainability innovations on top of civic engagementbased data collection activities as the data is quite unique in nature and could offer seeds for developing e.g. new and novel environmental monitoring services [30][31][32]. Our research outlines a number of solution for typical challenges for engaging visitors, when playing with the data and in capturing feedback to assess the validity of the design decisions to support the intended outcomes.…”

Section: Discussionmentioning

confidence: 99%

From Data Literacy to Co-design Environmental Monitoring Innovations and Civic Action

Happonen

Wolff

Palacin

2022

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

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SENSEI is an environmental monitoring initiative run by Lappeenranta University of Technology (LUT University) and the municipality of Lappeenranta in south-east Finland. The aim was to collaboratively innovate and co-design, develop and deploy civic technologies with local civics to monitor positive and negative issues. These are planned to improve local’s participation to social governance issues in hand. These issues can be e.g. waste related matters like illegal dumping of waste, small vandalism into city properties, alien plant species, but on the other hand nice places to visits too. This publication presents initiatives data literacy facet overview, which is aimed at creating equitable access to information from open data, which in turn is hoped for to increase participants motivation and entrepreneurship like attitude to work with the municipals and the system. This is done by curating environmental datasets to allow participatory sensemaking via exploration, games and reflection, allowing citizens to combine their collective knowledge about the town with the often-complex data. The ultimate aim of this data literacy process is to enhance collective civic actions for the good of the environment, to reduce the resource burden in the municipality level and help citizens to be part of sustainability and environmental monitoring innovation activities. For further research, we suggest follow up studies to consider on similar activities e.g. in specific age groups and to do comparisons on working with different stage holders to pin point most appropriate methods for any specific focus group towards collaborative innovation and co-design of civic technologies deployment.

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“…Significant effects on the creation, delivery, and capture of value through business model reconfiguration are also computerized (Mohd Sam et al, 2012). Happonen et al (2020), investigate and analyze action plans related to the digitalization approach of organizing higher education SMEs. SMEs represent considerable authority in water supply allocation on a mechanical scale, telemetry, and sensor information-based water circulation checking.…”

Section: Innovation In Plans Of Activity and Game Plansmentioning

confidence: 99%

Understanding of the role of digitalization to business model and innovation: economics and business review studies

Hendriarto

2021

lingcure

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This paper analyzed the role of the digitalization approach in innovating business operating models in Indonesia. We chose a review research approach on the findings of economic and business journals that we searched electronically based on Google application data. We focus on findings from international journals that discuss how digitalization plays a role in innovation models of profitable and sustainable business operations. We reviewed papers published in the last ten years (2010 to 2020) using data analysis, critical evaluation, and in-depth interpretation methods to find valid and reliable data. Our analysis focuses on business innovation models operating with digital services; production, distribution, and sales. We found that the role, implementation, and activities of digital applications in business are proven to overcome obstacles to business operations in the current multi-crisis and pandemic era. In other words, the digitalization trend has proven to be very helpful for operational business processes that follow an adaptation approach to the demands of technological convenience by companies and consumers. Furthermore, we believe that business innovation with a digitalization approach is an effort to improve services in all operational lines to achieve profitable and sustainable business goals.

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Digital age business model innovation for sustainability in University Industry Collaboration Model

Cited by 22 publications

References 44 publications

Toward Autonomous Vehicles and Machinery in Mill Yards of the Forest Industry: Technologies and Proposals for Autonomous Vehicle Operations

Toward Autonomous Vehicles and Machinery in Mill Yards of the Forest Industry: Technologies and Proposals for Autonomous Vehicle Operations

From Data Literacy to Co-design Environmental Monitoring Innovations and Civic Action

Understanding of the role of digitalization to business model and innovation: economics and business review studies

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