{"id":94315,"date":"2021-08-15T12:00:00","date_gmt":"2021-08-15T10:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94315"},"modified":"2024-04-16T16:32:59","modified_gmt":"2024-04-16T14:32:59","slug":"standards-for-calculating-a-carbon-footprint","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/standards-for-calculating-a-carbon-footprint\/","title":{"rendered":"Standards for Calculating a Carbon Footprint"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Liu, T., Wang, Q., Su, B.: A review of carbon labeling: Standards, implementation, and impact. In: Renewable and Sustainable Energy Reviews, 53(2016), S. 68-79. DOI: 10.1016\/j.rser.2015.08.050.<br \/>\n[2] Nda, M.; Adnan, M. S.; Ahmad, K. A.; Usman, N.; Razi, M. A. M.; Daud, Z.: A Review on the Causes, Effects and Mitigation of Climate Changes on the En- vironmental Aspects. In: Inter- national Journal of Integrated Engineering, 10 (2018). DOI: 10.30880\/ijie.2018.10.04.027.<br \/>\n[3] Olanrewaju, O. A.; Mbohwa, C.: The Need for Greenhouse Gas Analyses in Industrial Sectors. In: Environmental Carbon Footprint, 2018, S. 1-18. DOI: 10.1016\/B978-0-12-812849- 7.00001-5.<br \/>\n[4] Peverali, F.; Ullrich, A.: Um- weltorientiertes Prozessmanagement: Integration von Standards des Umweltmanagements und der Nachhaltigkeitsberichterstattung in eine betriebliche Prozessarchitektur. In: HMD Praxis der Wirtschaftsinformatik, 58(2021). DOI: 10.1365\/ s40702-020-00698-5.<br \/>\n[5] Bundeszentrale f\u00fcr politische Bildung: Ab 2021: CO2-Preis auf Heiz- und Kraftstoffe, S. 1, Dez. 2020.<br \/>\n[6] DIN-Normenausschuss Grundlagen des Umwelt- schutzes (NAGUS): DIN EN ISO 14067. 2018.<br \/>\n[7] Muthu, S. S. (Hrsg.): Carbon Footprint Case Studies: Municipal Solid Waste Management, Sustainable Road Transport and Carbon Sequestration. Singapore: Springer Singapore, 2021. doi: 10.1007\/978-981-15-9577-6.<br \/>\n[8] WBCSD\/WRI, Greenhouse gas protocol: product life cycle accounting and reporting standard. Washington, DC; Geneva, Switzerland: World Resources Institute; World Business Council for Sustainable Development, 2011.<br \/>\n[9] British Standards Institution, PAS 2050:2011: Specification for the assessment of the life cycle greenhouse gas emissions of goods and services. 2011. Zugegriffen: Feb. 11, 2021. [Online]. Verf\u00fcgbar unter: http:\/\/shop.bsigroup.com\/upload\/shop\/download\/pas\/pas2050.pdf.<br \/>\n[10] Wu, P.; Low, S. P.; Xia, B.; Zuo, J.: Achieving transparency in carbon labelling for construction materials \u2013 Lessons from current assessment standards and carbon labels. Environmental Science &amp; Policy, 44(2014), S. 11-25. DOI: 10.1016\/j.envsci.2014.07.009.<br \/>\n[11] Hottenroth, H.; Joa, B.; Schmidt, M.: Carbon Foot- prints f\u00fcr Produkte. 2013.<br \/>\n[12] Wang, S.; Wang, W.; Yang, H.: Comparison of Product Carbon Footprint Protocols: Case Study on Medium-Density Fiberboard in China. International Journal of Environmental Research and Public Health, 15(2018), S. 2060. DOI: 10.3390\/ijerph15102060.<br \/>\n[13] Garcia, R.; Freire, F.: Carbon footprint of particleboard: a comparison between ISO\/ TS 14067, GHG Protocol, PAS 2050 and Climate Declaration, Journal of Cleaner Production, 66(2014), S. 199-209. DOI: 10.1016\/j.jclepro.2013.11.073.<br \/>\n[14] Ullrich, A.; Gronau, N.: Time to Change: Considering the 4th Industrial Revolution from Three Sustainability Perspectives. In Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics \u2013 Volume 1: IN- 4PL (2020), S. 109-116. DOI: 10.5220\/0010148601090116.<\/div>\n<div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\">\n<h2>Your downloads<\/h2>\n<p><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"94315\" data-userid =\"0\" data-filename=\"lewandowski-Normen-zur-Berechnung des-CO2-Fussabdrucks_IM-2021_4.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/resource-efficiency\/\">Resource Efficiency<\/a><\/span> <div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/product-carbon-footprint-en\/\">Product Carbon Footprint<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Standards%20for%20Calculating%20a%20Carbon%20Footprint - https:\/\/industry-science.com\/en\/articles\/standards-for-calculating-a-carbon-footprint\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/standards-for-calculating-a-carbon-footprint\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); 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return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/digital-twins-emission-reduction\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Bischoff_AdobeStock_973084549_Otseira-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Bischoff_AdobeStock_973084549_Otseira-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Bischoff_AdobeStock_973084549_Otseira-196x180.webp\" alt=\"Digital Twins for Emission Reduction\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Digital Twins for Emission Reduction\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Digital Twins for Emission Reduction<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Ex-ante case study on a pump test bench in industrial production<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/felix-bischoff\/\">Felix Bischoff<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/ingela-tietze\/\">Ingela Tietze<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0358-8885\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/peter-hertweck\/\">Peter Hertweck<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/nina-van-hasz\/\">Nina van Hasz<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Digital twins are frequently referred to as a promising approach for reducing greenhouse gas (GHG) emissions in industrial production; however, robust empirical evidence of their benefits under real-world conditions is largely lacking. In this case study, the emission reduction potential of a digital twin\u2014as a conceptually described target system\u2014is quantified ex-ante via the example of a test bench for hydraulic pumps. To this end, the GHG emissions of the original test plan for the year 2025 are determined based on actual measured energy consumption of the tested pumps and time-resolved grid electricity emission intensities. This is followed by a rule-based rescheduling, in which energy-intensive test processes are shifted to time intervals with lower emissions. The rescheduling takes operational constraints into account so that processes and equipment remain unchanged. The savings potential is determined by comparing the GHG emissions of the reference and the optimized case.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 16-24 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.3.2\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.3.2<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/trendiation-framework-employee\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_1892427422-2_BHP-Studio-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_1892427422-2_BHP-Studio-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_1892427422-2_BHP-Studio-196x180.webp\" alt=\"Building the Future Workforce Today\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Building the Future Workforce Today\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Building the Future Workforce Today<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Trendiation as a strategic framework for employee qualification and training<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/juergen-fritz-en\/\">J\u00fcrgen Fritz<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-busse\/\">Sebastian Busse<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/ingo-dieckmann\/\">Ingo Dieckmann<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/torsten-laub\/\">Torsten Laub<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     As Industry 4.0 and artificial intelligence reshape organizational capabilities, traditional training systems struggle to keep pace with evolving skill requirements. This paper introduces Trendiation\u2014a structured methodology for translating emerging trends into actionable strategies\u2014as a systematic approach to this challenge. Through a workshop-based application examining Edutainment, Human-Centered Design, and Workforce Transformation, we demonstrate how organizations can move from abstract trend identification to concrete qualification requirements and prioritized training initiatives. The method produces a traceable artifact chain spanning trend framing, capability-gap assessment, and implementation roadmaps. Participant evaluations indicate high perceived clarity and practical utility. By bridging foresight analysis with participatory design, Trendiation enables organizations to proactively cultivate adaptive capabilities and build learning cultures aligned with future work ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 2 | Pages 22-29 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.2.22\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.2.22<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/tachaid-ethical-ai\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Rath_AdobeStock_629687249_everythingpossible-196x180.jpg\" alt=\"Operationalizing Ethical AI with tachAId\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Operationalizing Ethical AI with tachAId\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Operationalizing Ethical AI with tachAId<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Validating an interactive advisory tool in two manufacturing use cases<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/pavlos-rath-manakidis\/\">Pavlos Rath-Manakidis<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/henry-huick\/\">Henry Huick<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/bjoern-kraemer\/\">Bj\u00f6rn Kr\u00e4mer<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-4659-012X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/laurenz-wiskott\/\">Laurenz Wiskott<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-6237-740X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Integrating artificial intelligence (AI) into workplace processes promises significant efficiency gains, yet organizations face numerous ethical challenges that stakeholders are often initially unaware of\u2014from opacity in decision-making to algorithmic bias and premature automation risks. This paper presents the design and validation of tachAId, an interactive advisory tool aimed at embedding human-centered ethical considerations into the development of AI solutions. It reports on a validation study conducted across two distinct industrial AI applications with varying AI maturity. tachAId successfully directs attention to critical ethical considerations across the AI solution lifecycle that might be overlooked in technically-focused development. However, the findings also reveal a central tension: while effective in raising awareness, the tool\u2019s non-linear design creates significant usability challenges, indicating a user preference for more structured, linear guidance, especially ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 50-59 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.48\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.48<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/jocat-job-change-acceptance-toolbox\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_Beitragsbild-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_Beitragsbild-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Berretta_Beitragsbild-196x180.webp\" alt=\"JOCAT (Job Change Acceptance Toolbox)\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"JOCAT (Job Change Acceptance Toolbox)\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">JOCAT (Job Change Acceptance Toolbox)<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A change management approach for implementing AI systems ethically and sustainably<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/sophie-berretta\/\">Sophie Berretta<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-2879-2164\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/pauline-nolte\/\">Pauline Nolte<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/annette-kluge\/\">Annette Kluge<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-8123-0427\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/skrolan-kopka\/\">Skrolan Kopka<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     AI systems challenge conventional change management due to their dynamic, opaque, and ethically sensitive nature. This article applies insights from established change models to AI-specific challenges, illustrated by a real-world use case. The resulting propositions are substantiated by six expert interviews, which integrate practical perspectives. Together, they inform the development of the Job Change Acceptance Toolbox (JOCAT), a modular, practice-oriented resource designed to support the implementation of human-centered, ethical, and sustainable AI-related change processes.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | Edition 1 | Pages 80-91 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.74\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.74<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/co-determination-dialogues\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Wannoffel_AdobeStock_358318311_pinkeyes-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Wannoffel_AdobeStock_358318311_pinkeyes-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Wannoffel_AdobeStock_358318311_pinkeyes-196x180.jpg\" alt=\"Co-Determination Dialogues\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Co-Determination Dialogues\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Co-Determination Dialogues<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A tool for human-centered AI implementation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/manfred-wannoeffel-en\/\">Manfred Wann\u00f6ffel<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9354-8873\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/fabian-hoose-en\/\">Fabian Hoose<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3564-2970\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/alexander-ranft\/\">Alexander Ranft<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/claudia-niewerth\/\">Claudia Niewerth<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-7041-0360\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/dirk-stueter\/\">Dirk St\u00fcter<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     As part of the regional competence center humAIne, funded by the Federal Ministry of Research, Technology, and Space (BMFTR), a process was developed using co-determination dialogues to establish a common understanding of the challenges involved in the introduction of artificial intelligence (AI) between management, employees, and interest groups. Experiences from project partner companies such as Doncasters Precision Castings in Bochum GmbH (DPC) exemplify how co-determination dialogues not only help to develop legally binding regulations for manageable, operationally anchored, sustainable AI use but also initiate continuous qualification processes for all stakeholder groups in accordance with Articles 4 and 5 of the EU AI Act.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | Edition 1 | Pages 92-98 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.84\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.84<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/employee-human-centered-ai\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Ranft_AdobeStock_921970766_Nirusmee-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Ranft_AdobeStock_921970766_Nirusmee-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Ranft_AdobeStock_921970766_Nirusmee-196x180.jpg\" alt=\"Human-Centered AI in Companies with Employee Representation\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Human-Centered AI in Companies with Employee Representation\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Human-Centered AI in Companies with Employee Representation<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Using the HUMAINE model for a company-specific works agreement<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/alexander-ranft\/\">Alexander Ranft<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/fabian-hoose-en\/\">Fabian Hoose<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3564-2970\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/claudia-niewerth\/\">Claudia Niewerth<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-7041-0360\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/mathias-preuss\/\">Mathias Preu\u00df<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/manfred-wannoeffel-en\/\">Manfred Wann\u00f6ffel<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9354-8873\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     The introduction of artificial intelligence (AI) in companies poses new challenges for regulation and co-determination. Binding requirements have been in force since the 2025 EU AI Act, which must be linked nationally with the Works Constitution Act (BetrVG). The regional competence center humAine has developed a model works agreement on AI (MBV KI) in accordance with Section 77 BetrVG, which strengthens co-determination rights in companies and implements European regulations in a practical way. Flanked by co-determination dialogues, the MBV KI enables company-specific adaptation for responsible and human-centered AI use. Using selected parts of the MBV KI as examples, this article shows how a framework works agreement on AI can be designed and discusses its transferability to companies without a works council. The MBV KI presented here contributes to the sustainable, socially secure design of the digital transformation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | Edition 1 | Pages 14-21 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.14\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.14<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Carbon footprints are a widely discussed topic impacting the individuals as well as companies. A company can be transparent in their actions, by publishing a carbon footprint. These footprints can be calculated for a single product or the whole company. However, there is a variety of different carbon footprint standards. The internationally most recognized ones are the publicly available specification 2050, Greenhouse Gas protocol (2011) and ISO 14067. This paper compares the standards and gives a recommendation for the application of product carbon footprints.<\/p>\n","protected":false},"featured_media":96083,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[79670],"product_cat":[],"topic":[79491,68267],"technology":[67599],"knowhow":[],"industry":[],"writer":[82360,80397,83384],"content-type":[],"potential":[69462],"solution":[],"glossary":[],"class_list":["post-94315","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-product-carbon-footprint-en","topic-change-management-en","topic-sustainability","technology-analytics-en","writer-andre-ullrich-en","writer-norbert-gronau-en","writer-stefanie-lewandowski-en","potential-resource-efficiency","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/lewandowski-Normen-zur-Berechnung 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A company can be transparent in their actions, by publishing a carbon footprint. These footprints can be calculated for a single product or the whole company. However, there is a variety of different carbon footprint standards. The internationally most recognized ones&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/96083"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94315"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94315"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94315"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94315"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94315"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94315"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94315"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94315"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94315"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94315"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}