Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202581252> ?p ?o ?g. }
- W3202581252 endingPage "121242" @default.
- W3202581252 startingPage "121242" @default.
- W3202581252 abstract "Industry 4.0 (I4.0) is about realizing digital transformation by linking machines to plants, fleets, and humans through sensors and control elements in order to create smart networks, smart factories, smart manufacturing, and smart value chains. By leveraging I4.0 technologies, a small and medium enterprise (SME) can increase its organizational agility, adaptability, and resilience to cope with today's competitive environment by becoming a valuable and innovative partner in the power dynamics with its large buyer counterparts. However, SMEs face technology, trust, and big data challenges when they adopt I4.0 technologies. This study provides new solutions for SMEs to overcome these three challenges in implementing I4.0. Specifically, the paper proposes the following: (1) a roadmap for the application of I4.0 technologies to enhance the collaboration capabilities of SMEs; (2) a structure for I4.0 standardization to develop and sustain trust among partners; and (3) an improved data science platform for systematizing big data to extract critical information for collaboration solutions for SMEs. Additionally, the solutions are evaluated based on an application case of a Greek SME, demonstrating their potentials for practical implementation." @default.
- W3202581252 created "2021-10-11" @default.
- W3202581252 creator A5024834851 @default.
- W3202581252 creator A5075737136 @default.
- W3202581252 date "2022-01-01" @default.
- W3202581252 modified "2023-10-11" @default.
- W3202581252 title "Towards a data science platform for improving SME collaboration through Industry 4.0 technologies" @default.
- W3202581252 cites W1593671122 @default.
- W3202581252 cites W1911193768 @default.
- W3202581252 cites W1977367431 @default.
- W3202581252 cites W1987168063 @default.
- W3202581252 cites W2026708242 @default.
- W3202581252 cites W2033671294 @default.
- W3202581252 cites W2063405618 @default.
- W3202581252 cites W2070116184 @default.
- W3202581252 cites W2085302753 @default.
- W3202581252 cites W2095278535 @default.
- W3202581252 cites W2119046642 @default.
- W3202581252 cites W2162061959 @default.
- W3202581252 cites W2173213060 @default.
- W3202581252 cites W2176976426 @default.
- W3202581252 cites W2470843486 @default.
- W3202581252 cites W2517745273 @default.
- W3202581252 cites W2561260277 @default.
- W3202581252 cites W2566728633 @default.
- W3202581252 cites W2605859962 @default.
- W3202581252 cites W2607075461 @default.
- W3202581252 cites W2607234710 @default.
- W3202581252 cites W2737940375 @default.
- W3202581252 cites W2753155801 @default.
- W3202581252 cites W2754729857 @default.
- W3202581252 cites W2763267277 @default.
- W3202581252 cites W2767346351 @default.
- W3202581252 cites W2769235293 @default.
- W3202581252 cites W2770250682 @default.
- W3202581252 cites W2772511931 @default.
- W3202581252 cites W2781768742 @default.
- W3202581252 cites W2782812883 @default.
- W3202581252 cites W2785339424 @default.
- W3202581252 cites W2785746543 @default.
- W3202581252 cites W2789444712 @default.
- W3202581252 cites W2792445274 @default.
- W3202581252 cites W2806407311 @default.
- W3202581252 cites W2811256013 @default.
- W3202581252 cites W2896462300 @default.
- W3202581252 cites W2896727370 @default.
- W3202581252 cites W2898424291 @default.
- W3202581252 cites W2922260383 @default.
- W3202581252 cites W2953593081 @default.
- W3202581252 cites W2969750664 @default.
- W3202581252 cites W2983989276 @default.
- W3202581252 cites W3023839723 @default.
- W3202581252 cites W3091828036 @default.
- W3202581252 cites W3093230343 @default.
- W3202581252 cites W3121177474 @default.
- W3202581252 cites W4251052400 @default.
- W3202581252 doi "https://doi.org/10.1016/j.techfore.2021.121242" @default.
- W3202581252 hasPublicationYear "2022" @default.
- W3202581252 type Work @default.
- W3202581252 sameAs 3202581252 @default.
- W3202581252 citedByCount "36" @default.
- W3202581252 countsByYear W32025812522021 @default.
- W3202581252 countsByYear W32025812522022 @default.
- W3202581252 countsByYear W32025812522023 @default.
- W3202581252 crossrefType "journal-article" @default.
- W3202581252 hasAuthorship W3202581252A5024834851 @default.
- W3202581252 hasAuthorship W3202581252A5075737136 @default.
- W3202581252 hasConcept C10138342 @default.
- W3202581252 hasConcept C110354214 @default.
- W3202581252 hasConcept C111919701 @default.
- W3202581252 hasConcept C121332964 @default.
- W3202581252 hasConcept C126082660 @default.
- W3202581252 hasConcept C127413603 @default.
- W3202581252 hasConcept C136764020 @default.
- W3202581252 hasConcept C144133560 @default.
- W3202581252 hasConcept C149635348 @default.
- W3202581252 hasConcept C177606310 @default.
- W3202581252 hasConcept C179768478 @default.
- W3202581252 hasConcept C188087704 @default.
- W3202581252 hasConcept C18903297 @default.
- W3202581252 hasConcept C195094911 @default.
- W3202581252 hasConcept C2777986313 @default.
- W3202581252 hasConcept C2779585090 @default.
- W3202581252 hasConcept C41008148 @default.
- W3202581252 hasConcept C48879800 @default.
- W3202581252 hasConcept C56739046 @default.
- W3202581252 hasConcept C75684735 @default.
- W3202581252 hasConcept C86803240 @default.
- W3202581252 hasConcept C97355855 @default.
- W3202581252 hasConceptScore W3202581252C10138342 @default.
- W3202581252 hasConceptScore W3202581252C110354214 @default.
- W3202581252 hasConceptScore W3202581252C111919701 @default.
- W3202581252 hasConceptScore W3202581252C121332964 @default.
- W3202581252 hasConceptScore W3202581252C126082660 @default.
- W3202581252 hasConceptScore W3202581252C127413603 @default.
- W3202581252 hasConceptScore W3202581252C136764020 @default.
- W3202581252 hasConceptScore W3202581252C144133560 @default.
- W3202581252 hasConceptScore W3202581252C149635348 @default.