{"id":107733,"date":"2025-02-15T12:00:00","date_gmt":"2025-02-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=107733"},"modified":"2025-02-09T13:53:46","modified_gmt":"2025-02-09T12:53:46","slug":"industrial-business-process","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/industrial-business-process\/","title":{"rendered":"Computer Use in Industrial Business Processes"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The article expands on previous research by focusing on how the relevant subject areas have developed over the last 20 years. Which topics are currently being discussed in science? Are they the same as those discussed in the late 1990s or have they completely changed? Are there topics that were discussed 25 years ago that are still relevant today? Can umbrella terms be identified that summarize what remains exciting about today\u2019s use of computers in production-related business processes?&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Methodology: Keyword analysis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Typically, to assess the trend character of a topic, articles published at a single point in time are counted [1]. A study using this methodology [4] was carried out in Gronau 2014 [3]. It revealed the trends of automation, flexibilization and globalization shown in Figure 1.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"514\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-1024x514.jpg\" alt=\"Trends in trade media 1950-2000, process\" class=\"wp-image-107734\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-1024x514.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-747x375.jpg 747w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-768x386.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-514x258.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-510x256.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min-64x32.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-1-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 1: Trends in trade media 1950-2000 [2, 4].<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The use of computers was an important topic in the first 30 years of observation, with manual processes gradually being replaced by computer-aided processes. The trend towards automation is the only one that is consistent in literature since the beginning of the study. With the emergence of the CIM discussion, questions of flexibilization and the integration of <a href=\"https:\/\/industry-science.com\/en\/articles\/application-integration-industry\/\">different application systems<\/a> came to the fore for the first time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Parallel to discussions on business process reengineering and lean production, organizational topics were widely discussed in the literature. With the availability of the Internet and the elimination of numerous trade and customs barriers, virtual globalization was discussed from the beginning of the 2000s. The study summarized here ends shortly after the year 2000. This article examines the focal points of scientific discussion in the years that followed up to the present.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The full texts and metadata of 2,049 German-language articles published since 2001 were used to achieve the aforementioned aims. After removing articles with incomplete metadata, 1,853 articles, to which 3,121 different authors contributed, were available for analysis. The authors and keywords were isolated from these contributions and the keywords standardized according to the following criteria:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>singular<\/li>\n\n\n\n<li>in German<\/li>\n\n\n\n<li>no abbreviations<\/li>\n\n\n\n<li>multi-word keywords separated (e.g. the keyword &#8220;robotics in make-to-order production&#8221; becomes the two keywords &#8220;robotics&#8221; and &#8220;make-to-order production&#8221;)\u00a0<\/li>\n\n\n\n<li>no names of organizations or places.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This yielded a total of 8,491 keywords, each of which was assigned to an article and a publication year. As over 3,300 keywords appeared only once during the period under review and only two keywords were mentioned more than 100 times, it was necessary to group the keywords under broader terms. Although this is the same technique used in the previous study, the frequency with which the categories were mentioned has shifted considerably, and some categories (such as ecology) have been newly included. The article focuses on the analysis of the keywords because these were specified by the authors themselves. An example of a keyword is Industry 4.0, the development of which is depicted in Figure 2.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"617\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-1024x617.jpg\" alt=\"Use of the keyword Industry 4.0 in the articles examined\" class=\"wp-image-107736\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-1024x617.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-623x375.jpg 623w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-768x462.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-485x292.jpg 485w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-510x307.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min-64x39.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-2-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 2: Use of the keyword Industry 4.0 in the articles examined.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Ascending and declining categories with some surprising developments<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The terms were sorted according to their frequency of occurrence in 2024, assigned to their counterparts in 1998 and divided into categories as follows: If the proportion of all publications had remained roughly the same between 1998 and 2024, the term was identified as an ongoing topic. If the term was also one of the ten most frequently mentioned terms, it was identified as a leading topic. A term was a declining topic if it was no longer recorded in 2024 or was recorded with a significantly lower frequency than in 1998. Conversely, a term was declared ascending if it was not mentioned in 1998 and was mentioned with a measurable frequency in 2024.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A comparison with the 1998 study allows us to draw some conclusions about the evolution of the topics tackled in the literature.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Figure 3 shows the ten most frequently mentioned categories in 1998 and 2024. It is striking that the ten most frequent keywords are much more similar to each other in 2024 than in 1998. While the gap between positions 1 and 10 was still 12.4% in 1998, it shrinks to just 1.4% in 2024! It is also clear that the focus of contributions has shifted significantly. Of the ten most frequent and therefore most important keywords, only process orientation and machining (of workpieces) have been consistently important over the last 40 years.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"469\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-1024x469.jpg\" alt=\"Top 10 term categories in 1998 and 2024\" class=\"wp-image-107738\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-1024x469.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-764x350.jpg 764w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-768x352.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-514x235.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-510x234.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min-64x29.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-3-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 3: Top 10 term categories in 1998 and 2024.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A detailed look at the categories from 1998 and 2024 shows the changes in research on software-supported production. These changes can be divided into three categories: the terms that are no longer the subject of scientific publications (&#8220;decliners&#8221;), the topics that have risen sharply (&#8220;ascenders&#8221;) and the topics that have been discussed in scientific publications throughout the entire 40-year period (&#8220;leading topics&#8221;).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"621\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-1024x621.jpg\" alt=\"Ascenders, leading topics and decliners\" class=\"wp-image-107740\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-1024x621.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-618x375.jpg 618w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-768x466.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-482x292.jpg 482w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-510x309.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min-64x39.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-4-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 4: Ascenders, leading topics and decliners.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The graph shows that topics such as computer support for manufacturing tasks, which were still being discussed in scientific publications 25 years ago, play almost no role today (decline in CAx technologies from more than 16% to less than 1%). The role of software in automation is also much less important today than it was 25 years ago, as is robotics. In terms of scientific methods, simulation is less in focus today but still has a significant number of mentions. The proportion of articles on quality management has decreased considerably, albeit to a lesser extent than the other keywords in this group.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The category of leading topics includes those that have played a major role in production-oriented science for 40 years now. The most important topic is production planning and control, which still appears in almost 4% of all articles. This is certainly due to the fact that the production planning polylemma of combining high adherence to schedules with high-capacity utilization and low inventories has not yet been solved. It is noteworthy that intelligent systems\/AI have also consistently played an important role in publications for over 40 years. In view of the current hype surrounding <a href=\"https:\/\/industry-science.com\/en\/articles\/language-models-llm-production\/\">generative AI<\/a>, this trend is likely to continue. Issues surrounding outsourcing and globalization or their reversal are also constantly being discussed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One ascender is the category of processing methods, which have been made possible via new materials and new processes such as biotechnology or additive manufacturing, for example. The &#8220;winner&#8221; in this analysis is process orientation, which already played an important role in the 1998 study and has more than doubled in frequency since then.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Logistics plays a special role in this survey. At first glance, this category has grown the most. However, unlike in the other categories, the former editor-in-chief of this journal played a key role here. His chair at the University of Bremen dealt with logistics systems and processes and it is largely thanks to his influence that many articles in the journal dealt with logistics topics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, a trend shifting away from the isolated consideration of individual phenomena towards the holistic examination of processes or production systems is recognizable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Authors<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A total of around 3,000 authors have been published in the journal over the course of 20 years. Among the most frequent authors are leading members of the Academic Society for Work and Industrial Organization (WGAB) e.V., who have published more than ten articles in 20 years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prof. Scholz-Reiter, formerly of the University of Bremen, who was editor-in-chief of the journal during the entire evaluation period, is at the top of the list with 82 articles. His successor in the professorship in Bremen contributed 55 publications, while the current editor has published 40 articles. More than 2,400 authors submitted only one article in the evaluation period. The frequency distribution of publication figures per author can be seen in Figure 5.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"481\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-1024x481.jpg\" alt=\"Frequency of multiple publications by one author\" class=\"wp-image-107742\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-1024x481.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-764x359.jpg 764w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-768x360.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-514x241.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-510x239.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min-64x30.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-5-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 5: Frequency of multiple publications by one author.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Restrictions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In contrast to typical literature reviews, only one journal is examined in detail here. This is beneficial for the results, however, as it entails a high degree of continuity in terms of the editors and, above all, editors-in-chief over a very long period of time (Fig. 6).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"582\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-1024x582.jpg\" alt=\"The magazine\u2019s history since 1985\" class=\"wp-image-107744\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-1024x582.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-660x375.jpg 660w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-768x437.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-514x292.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-510x290.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min-64x36.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/02\/Gronau_I4S-EN-25-1_Figure-6-min.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 6: The magazine\u2019s history since 1985.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">When new technology or methodologies emerge, it is usually not possible to tell whether they will become the subject of intensive discussion among experts. The study presented here offers an initial indication of how potential trend topics can be identified. An intensive debate in the scientific community over a longer period is an important indicator of a trend that is worth investigating further.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Deriving further research questions from network analysis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">From the author&#8217;s point of view, there are some further interesting questions that could not be elaborated on within the frame of this article. For example, how do the keywords relate to each other? Methods of social network analysis could be used to create a thematic network that might show the proximity of certain terms to each other. A need for further research could be derived from these as yet lacking connections and correlations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Furthermore, a geographical atlas of the authors could be created to show which research locations in German-speaking countries have made a significant contribution to the body of knowledge on Industry 4.0 and industrial business processes.<\/p>\n<hr><div class=\"gito-pub-content-bibliography\"><h2>Bibliography <\/h2>[1] Umer, M.; Razi, S.: Analyzing research methodologies and publication trends in service marketing literature. In: Cogent Business &amp; Management 5 (2018) 1, 1446265. DOI: 10.1080\/23311975.2018.1446265.\r<br>[2] Gronau, N.: Wandlungsf\u00e4hige Informationssystemarchitekturen-Nachhaltigkeit bei organisatorischem Wandel 1 (2006) 2. GITO mbH Verlag.\r<br>[3] Gronau, N.: Die Forschung zu industriellen Gesch\u00e4ftsprozessen im Wandel der Zeit. In: Industrie Management 30 (2014) 1, pp. 9-14.\r<br>[4] Solaro, R.: Trends und Str\u00f6mungen bei Rechnereinsatz und Organisation im Industrieunternehmen. Diploma thesis TU Berlin 1998 (unpublished).<\/div><div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\"><h2>Your downloads<\/h2><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"107733\" data-userid =\"0\" data-filename=\"I4S_01-2025_DE_Gronau.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF (DE)<\/button><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"107733\" data-userid =\"0\" data-filename=\"I4S_01-2025_ENG_Gronau.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF (EN)<\/button><\/div><br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/business-models\/\">Business Models<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/innovation-en\/\">Innovation<\/a><\/span> <br>Solutions: <span class=\"gito-pub-tag-element\"><a href=\"\/en\/functions\/logistik-en\/\">Logistics<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/en\/functions\/production-planning\/\">Production Planning<\/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\/digitalisierung-en\/\">Digitalisierung<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/industrie-4-0-en\/\">Industrie 4.0<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/smart-factory-en\/\">Smart Factory<\/a><\/span> <br>Industries: <span class=\"gito-pub-tag-element\"><a href=\"https:\/\/industry-science.com\/en\/industries\/manufacturing-en\/\">Manufacturing<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Computer%20Use%20in%20Industrial%20Business%20Processes - https:\/\/industry-science.com\/en\/articles\/industrial-business-process\/\" 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\/industrial-business-process\/\" 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\/ai-driven-organization-as-a-new-work-paradigm\/\">\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\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\" alt=\"AI-Driven Organization as a New Work Paradigm\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Driven Organization as a New Work Paradigm\">                  <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;\">AI-Driven Organization as a New Work Paradigm<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Implications for individual and organizational change<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/wolfgang-beinhauer\/\">Wolfgang Beinhauer<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/josephine-hofmann\/\">Josephine Hofmann<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/leonie-krauch\/\">Leonie Krauch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/carsten-schmidt\/\">Carsten Schmidt<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/ai-driven-organization-as-a-new-work-paradigm\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 44 | 2026 | Edition 5 | Pages 94-100<\/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\/designing-effective-ai-certification\/\">\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\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\" alt=\"Designing Effective AI Certification\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Designing Effective AI Certification\">                  <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;\">Designing Effective AI Certification<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Insights from established certification domains for the standardization of human-centered AI<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/designing-effective-ai-certification\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Certification for human-centered AI is becoming increasingly important\u2014as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 44 | 2026 | Edition 5 | Pages 86-92 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.4.8\" target=\"_blank\">10.30844\/I4SE.26.4.8<\/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\/supplier-selection-industry-4-0\/\">\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\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\" alt=\"Data-Driven Supplier Selection in Industry 4.0\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Data-Driven Supplier Selection in Industry 4.0\">                  <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;\">Data-Driven Supplier Selection in Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Towards an industrial platform for selection and configuration<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/purushothaman-ganesh\/\">Purushothaman Ganesh<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-4245-467X\" 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\/baris-e-albayrak\/\">Baris E. Albayrak<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-1193-1279\" 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\/joerg-franke-en\/\">J\u00f6rg Franke<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0700-2028\" 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\/till-sindel\/\">Till Sindel<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3507-631X\" 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\/jens-fuerst\/\">Jens F\u00fcrst<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-lang\/\">Sebastian Lang<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3397-1551\" 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                     Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.6\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.6<\/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\/smart-data-ecosystems\/\">\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\/08\/Schleimer_AdobeStock_520430566_Melisa-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\" alt=\"Open Source as Enabler for Smart Data Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Open Source as Enabler for Smart Data Ecosystems\">                  <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;\">Open Source as Enabler for Smart Data Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">How collaboration shapes sovereignty and interoperability across industrial applications<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anna-maria-schleimer\/\">Anna Maria Schleimer<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3264-8034\" 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\/julia-pampus\/\">Julia Pampus<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2309-6183\" 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                     From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.1<\/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\/from-private-law-to-private-ordering\/\">\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\/08\/Romeike_AdobeStock_2042534786_DC-Studio-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Romeike_AdobeStock_2042534786_DC-Studio-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Romeike_AdobeStock_2042534786_DC-Studio-196x180.jpg\" alt=\"From Private Law to Private Ordering\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"From Private Law to Private Ordering\">                  <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;\">From Private Law to Private Ordering<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Rule-making through industrial digital platforms<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/pia-c-romeike\/\">Pia C. Romeike<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/frederik-baer\/\">Frederik B\u00e4r<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Industrial digital platforms are considered the driving force behind digital value creation, yet legally they largely operate in a gray area. This article examines what defines industrial digital platforms and what legal framework applies to them. Existing platform regulations apply only to a limited extent to industrial digital platforms, which is why these platforms often establish their own legal framework through their terms and conditions. The article also explores the implications of European regulation, power asymmetries, and the opportunities and limitations of private regulation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 98-105 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SD.26.4.11\" target=\"_blank\">10.30844\/I4SD.26.4.11<\/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\/industry-4-0-digitalization-limbo\/\">\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\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-196x180.webp\" alt=\"Industry 4.0\u2014Progress and Digitalization in Limbo\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Industry 4.0\u2014Progress and Digitalization in Limbo\">                  <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;\">Industry 4.0\u2014Progress and Digitalization in Limbo<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Status of sustainable transformation and digitalization in production engineering<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/christian-donhauser\/\">Christian Donhauser<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-0366-1828\" 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\/daniel-riepl\/\">Daniel Riepl<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/industry-4-0-digitalization-limbo\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 56-60<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>The most important value-adding industrial business processes are product creation and order processing. For 40 years now, Industry 4.0 Science and its predecessor titles have supported the development and implementation of the software used in these industrial business processes. In honor of the journal\u2019s 40th anniversary, a systematic literature review is carried out to identify trends that played a role in the past but no longer do today. The research provides some surprising insights into the topics that have been important in the last 40 years \u2013 as well as those that will remain relevant in the future.<\/p>\n","protected":false},"featured_media":107349,"menu_order":0,"template":"","categories":[79167,79298],"tags":[79449,79627,79671],"product_cat":[],"topic":[68005,68206],"technology":[79493],"knowhow":[],"industry":[79494],"writer":[80397],"content-type":[],"potential":[67626,67894],"solution":[67610,67577],"glossary":[],"class_list":["post-107733","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-typeset","tag-digitalisierung-en","tag-industrie-4-0-en","tag-smart-factory-en","topic-automation","topic-industry-4-0","technology-digitalization","industry-manufacturing-en","writer-norbert-gronau-en","potential-business-models","potential-innovation-en","solution-logistik-en","solution-production-planning","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min.jpeg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-150x150.jpeg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-666x375.jpeg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-768x432.jpeg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-1024x576.jpeg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-1032x320.jpeg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-764x376.jpeg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-392x320.jpeg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-608x496.jpeg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-640x325.jpeg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-274x376.jpeg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-514x292.jpeg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-320x440.jpeg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-514x289.jpeg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-196x180.jpeg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min.jpeg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min.jpeg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-510x510.jpeg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-510x287.jpeg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-100x100.jpeg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/01\/AdobeStock_749344848-min-64x36.jpeg",64,36,true]},"uagb_author_info":{"display_name":"Florian Goldmann","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"The most important value-adding industrial business processes are product creation and order processing. For 40 years now, Industry 4.0 Science and its predecessor titles have supported the development and implementation of the software used in these industrial business processes. In honor of the journal\u2019s 40th anniversary, a systematic literature review is carried out to identify&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/107733","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\/107349"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=107733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=107733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=107733"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=107733"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=107733"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=107733"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=107733"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=107733"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=107733"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=107733"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=107733"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=107733"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=107733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}