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description Publicationkeyboard_double_arrow_right Conference object 2024Publisher:Karlsruher Institut für Technologie (KIT) Zielke, Philipp; Lauble, Svenja; Baier, Carolin; John, Paul Christian; Rahebi, Hamid; Haghsheno, Shervin;Lean construction is increasingly adopted due to low productivity, industry fragmentation, and adversarial relationships, enhancing stability and transparency. This paper outlines future scenarios for Germany, aiding construction companies in proactive preparation. Using the scenario technique, three Lean construction scenarios were developed and compared with AIgenerated results. A literature review examined Lean construction's current state, followed by identifying crucial influencing factors through megatrend analysis and a PESTEL analysis. Sustainability, digitization, and collaboration emerged as key factors. Future projections for each were developed and linked to form scenarios: A sustainability scenario which is shaped by environmental regulations and green technology for sustainability, advancements in Building Information Modeling (BIM) are shaping the digitization scenario and integrated project delivery methods form the third scenario “collaboration”. The scenarios developed in this paper support those initially suggested by an AI tool. This analysis enables construction companies to adapt oneself to future scenarios and derive actions.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000175618&type=result"></script>'); --> </script>
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000175618&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Conference object 2024Publisher:Karlsruher Institut für Technologie (KIT) Zielke, Philipp; Lauble, Svenja; Baier, Carolin; John, Paul Christian; Rahebi, Hamid; Haghsheno, Shervin;Lean construction is increasingly adopted due to low productivity, industry fragmentation, and adversarial relationships, enhancing stability and transparency. This paper outlines future scenarios for Germany, aiding construction companies in proactive preparation. Using the scenario technique, three Lean construction scenarios were developed and compared with AIgenerated results. A literature review examined Lean construction's current state, followed by identifying crucial influencing factors through megatrend analysis and a PESTEL analysis. Sustainability, digitization, and collaboration emerged as key factors. Future projections for each were developed and linked to form scenarios: A sustainability scenario which is shaped by environmental regulations and green technology for sustainability, advancements in Building Information Modeling (BIM) are shaping the digitization scenario and integrated project delivery methods form the third scenario “collaboration”. The scenarios developed in this paper support those initially suggested by an AI tool. This analysis enables construction companies to adapt oneself to future scenarios and derive actions.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000175618&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000175618&type=result"></script>'); --> </script>
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