The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements
The concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2020-12-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
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| Online Access: | https://csimq-journals.rtu.lv/article/view/4371 |
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| author | Ibrahim Koura Frederick Benaben Juanqiong Gou Audrey Fertier |
| author_facet | Ibrahim Koura Frederick Benaben Juanqiong Gou Audrey Fertier |
| author_sort | Ibrahim Koura |
| collection | DOAJ |
| description | The concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments. But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research. In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types. This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view. A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations. |
| format | Article |
| id | doaj-art-f5825211f251439281e9c2b8e071cfda |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-f5825211f251439281e9c2b8e071cfda2025-02-03T12:03:19ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222020-12-01025325310.7250/csimq.2020-25.032368The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of ElementsIbrahim Koura0Frederick Benaben1Juanqiong Gou2Audrey Fertier3IMT Mines Albi, Allée des sciences, 81000 AlbiIMT Mines Albi, Allée des sciences, 81000 AlbiBeijing Jiaotong University, Haidian District Beijing 100044IMT Mines Albi, Allée des sciences, 81000 AlbiThe concept of collaborative networks has been encountered very often lately as the answer when trying to adapt and improve enterprises in these highly competitive business environments, therefore the urge for constantly addressing this topic. A lot of work-related to collaborative networks has been done so far, from defining network types to leveling partnerships and proposing models for partnership developments. But the lack of tackling a very important obstacle, which is the difficulty of detecting and anticipating collaboration opportunities between enterprises, inspired this research. In this article, a new theoretical opportunity detection approach is proposed based on enterprise characterization concept, KPI classification as well as collaboration types. This detection approach is a table of industrial classifications that imitates the Mendeleev periodic table from the concept point of view. A fictional example from an industrial context is shown to explain the usage of this approach accompanied by discussion about future work and limitations.https://csimq-journals.rtu.lv/article/view/4371collaborative networksenterprise characteristicsopportunity detectionnetwork categorizationkpi classification |
| spellingShingle | Ibrahim Koura Frederick Benaben Juanqiong Gou Audrey Fertier The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements Complex Systems Informatics and Modeling Quarterly collaborative networks enterprise characteristics opportunity detection network categorization kpi classification |
| title | The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements |
| title_full | The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements |
| title_fullStr | The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements |
| title_full_unstemmed | The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements |
| title_short | The Periodic Table of Industries: Detection of Collaboration Opportunities Based on an Imitation of the Mendeleev Periodic Table of Elements |
| title_sort | periodic table of industries detection of collaboration opportunities based on an imitation of the mendeleev periodic table of elements |
| topic | collaborative networks enterprise characteristics opportunity detection network categorization kpi classification |
| url | https://csimq-journals.rtu.lv/article/view/4371 |
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