Access the full text.
Sign up today, get DeepDyve free for 14 days.
Andreas Schumacher, Selim Erol, W. Sihn (2016)
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing EnterprisesProcedia CIRP, 52
D. Preuveneers, W. Joosen, E. Zudor (2017)
Trustworthy data-driven networked production for customer-centric plantsInd. Manag. Data Syst., 117
R. Heynicke, Dmytro Krush, C. Cammin, G. Scholl, B. Kaercher, J. Ritter, P. Gaggero, M. Rentschler (2018)
IO-Link Wireless enhanced factory automation communication for Industry 4.0 applicationsJournal of Sensors and Sensor Systems, 7
Nicholas Evangelopoulos, Xiaoni Zhang, V. Prybutok (2012)
Latent Semantic Analysis: five methodological recommendationsEuropean Journal of Information Systems, 21
D. Horstkemper, B. Hellingrath (2016)
Employing Order Allocation Flexibility in Cyber-physical Production SystemsProcedia CIRP, 57
F. Strozzi, Claudia Colicchia, Alessandro Creazza, C. Noe (2017)
Literature review on the ‘Smart Factory’ concept using bibliometric toolsInternational Journal of Production Research, 55
Alexandre Moeuf, R. Pellerin, S. Lamouri, Simon Tamayo-Giraldo, Rodolphe Barbaray (2018)
The industrial management of SMEs in the era of Industry 4.0International Journal of Production Research, 56
Yang Gao, Yu Song (2017)
Research on the interactive relationship between information communication technology and manufacturing industryCluster Computing, 22
Shailesh Kulkarni, Uday Apte, Nicholas Evangelopoulos (2014)
The Use of Latent Semantic Analysis in Operations Management ResearchDecis. Sci., 45
H. Kagermann, J. Helbig, A. Hellinger, W. Wahlster (2013)
Recommendations for implementing the strategic initiative INDUSTRIE 4.0: securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group
Pedro Coronado, Roby Lynn, W. Louhichi, Mahmoud Parto, Ethan Wescoat, T. Kurfess (2018)
Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution systemJournal of Manufacturing Systems
Florian Bienhaus, Abubaker Haddud (2018)
Procurement 4.0: factors influencing the digitisation of procurement and supply chainsBus. Process. Manag. J., 24
Yongxin Liao, F. Deschamps, E. Loures, L. Ramos (2017)
Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposalInternational Journal of Production Research, 55
(2018)
Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industryTechnological Forecasting and Social Change
A. Kundu, V. Jain, Sameer Kumar, C. Chandra (2015)
A journey from normative to behavioral operations in supply chain management: A review using Latent Semantic AnalysisExpert Syst. Appl., 42
Journal of the American society for information science, 41
X. Wang, S. Ong, A. Nee (2018)
A comprehensive survey of ubiquitous manufacturing researchInternational Journal of Production Research, 56
Giuseppe Aceto, V. Persico, A. Pescapé (2018)
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challengesJ. Netw. Comput. Appl., 107
Lida Xu, E. Xu, L. Li (2018)
Industry 4.0: state of the art and future trendsInternational Journal of Production Research, 56
L. Ardito, A. Petruzzelli, Umberto Panniello, A. Garavelli (2018)
Towards Industry 4.0Bus. Process. Manag. J., 25
M. Ghobakhloo (2018)
The future of manufacturing industry: a strategic roadmap toward Industry 4.0Journal of Manufacturing Technology Management
Toly Chen, Horng-Ren Tsai (2017)
Ubiquitous manufacturingRobotics and Computer-integrated Manufacturing, 45
Bo-Hu Li, Baocun Hou, Wentao Yu, Xiaobing Lu, Chun-Wei Yang (2017)
Applications of artificial intelligence in intelligent manufacturing: a reviewFrontiers of Information Technology & Electronic Engineering, 18
M. Elhoseny, A. Abdelaziz, Ahmed Salama, A. Riad, Khan Muhammad, A. Sangaiah (2018)
A hybrid model of Internet of Things and cloud computing to manage big data in health services applicationsFuture Gener. Comput. Syst., 86
Sukhjit Sehra, Jaiteg Singh, H. Rai (2017)
Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMapISPRS Int. J. Geo Inf., 6
A. Sidorova, Öykü Isik (2010)
Business process research: a cross-disciplinary reviewBus. Process. Manag. J., 16
M. Ben-Daya, E. Hassini, Zied Bahroun (2019)
Internet of things and supply chain management: a literature reviewInternational Journal of Production Research, 57
Marcos Pisching, Marcosiris Pessoa, F. Junqueira, D. Filho, P. Miyagi (2018)
An architecture based on RAMI 4.0 to discover equipment to process operations required by productsComput. Ind. Eng., 125
F. Pauker, T. Fruhwirth, B. Kittl, W. Kastner (2016)
A Systematic Approach to OPC UA Information Model DesignProcedia CIRP, 57
Adam Sanders, C. Elangeswaran, J. Wulfsberg (2016)
Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturingJournal of Industrial Engineering and Management, 9
Mehmet Yalcinkaya, Vishal Singh (2015)
Patterns and trends in Building Information Modeling (BIM) research: A Latent Semantic AnalysisAutomation in Construction, 59
T. Landauer, S. Dumais (2008)
Latent semantic analysisScholarpedia, 3
F. Murmura, L. Bravi (2017)
Additive manufacturing in the wood-furniture sector: Sustainability of the technology, benefits and limitations of adoptionJournal of Manufacturing Technology Management, 29
J. Ganzarain, N. Errasti (2016)
Three stage maturity model in SME’s toward industry 4.0Journal of Industrial Engineering and Management, 9
João Barata, P. Cunha, J. Stal (2017)
Mobile supply chain management in the Industry 4.0 era: An annotated bibliography and guide for future researchJ. Enterp. Inf. Manag., 31
Mohammed Al-Mhiqani, R. Ahmad, W. Yassin, Aslinda Hassan, Z. Abidin, Nabeel Ali, Karrar Abdulkareem (2018)
Cyber-Security Incidents: A Review Cases in Cyber-Physical SystemsInternational Journal of Advanced Computer Science and Applications, 9
Xiaolin Lin, Yibai Li, Xuequn Wang (2017)
Social commerce research: Definition, research themes and the trendsInt. J. Inf. Manag., 37
C. Scheuermann, S. Verclas, B. Brügge (2015)
Agile Factory - An Example of an Industry 4.0 Manufacturing Process2015 IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications
A. Trappey, C. Trappey, C. Fan, Abby Hsu, Xuan-Kai Li, Ian Lee (2017)
IoT patent roadmap for smart logistic service provision in the context of Industry 4.0Journal of the Chinese Institute of Engineers, 40
D. Kolberg, D. Zühlke (2015)
Lean Automation enabled by Industry 4.0 TechnologiesIFAC-PapersOnLine, 48
Xifan Yao, Jiajun Zhou, Ying-chieh Lin, Yun Li, Hongnian Yu, Y. Liu (2019)
Smart manufacturing based on cyber-physical systems and beyondJournal of Intelligent Manufacturing
J. Guan, A. Manikas, Lynn Boyd (2019)
The International Journal of Production Research at 55: a content-driven review and analysisInternational Journal of Production Research, 57
D. Lin, C. Lee, H. Lau, Yang Yang (2018)
Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industryInd. Manag. Data Syst., 118
Diogo Dutra, J. Silva (2016)
Product-Service Architecture (PSA): toward a Service Engineering perspective in Industry 4.0IFAC-PapersOnLine, 49
M. Lom, O. Přibyl, M. Svítek (2016)
Industry 4.0 as a part of smart cities2016 Smart Cities Symposium Prague (SCSP)
Wladimir Bodrow (2017)
Impact of Industry 4.0 in service oriented firmAdvances in Manufacturing, 5
M. Santos, Jorge Sá, Carina Andrade, F. Lima, Eduarda Costa, Carlos Costa, Bruno Martinho, João Galvão (2017)
A Big Data system supporting Bosch Braga Industry 4.0 strategyInt. J. Inf. Manag., 37
S. Sackey, A. Bester, D. Adams (2017)
INDUSTRY 4.0 LEARNING FACTORY DIDACTIC DESIGN PARAMETERS FOR INDUSTRIAL ENGINEERING EDUCATION IN SOUTH AFRICASouth African Journal of Industrial Engineering, 28
V. Snás̃el, J. Nowaková, F. Xhafa, L. Barolli (2017)
Geometrical and topological approaches to Big DataFuture Gener. Comput. Syst., 67
L. Perera (2016)
Marine Engine Centered Localized Models for Sensor Fault Detection under Ship Performance MonitoringIFAC-PapersOnLine, 49
G. Tortorella, D. Fettermann (2018)
Implementation of Industry 4.0 and lean production in Brazilian manufacturing companiesInternational Journal of Production Research, 56
P. Marksberry, Joshua Bustle, Jeff Clevinger (2011)
Problem solving for managers: a mathematical investigation of Toyota's 8‐step processJournal of Manufacturing Technology Management, 22
A. Sidorova, Nicholas Evangelopoulos, J. Valacich, Thiagarajan Ramakrishnan (2008)
Uncovering the Intellectual Core of the Information Systems DisciplineMIS Q., 32
J. Basl (2017)
Pilot Study of Readiness of Czech Companies to Implement the Principles of Industry 4.0Management and Production Engineering Review, 8
G. Santos, F. Murmura, L. Bravi (2018)
Fabrication laboratoriesJournal of Manufacturing Technology Management
A. Bilberg, Ronen Hadar (2012)
Adaptable and Reconfigurable LEAN Automation - a competitive solution in the western industry
Sven-Vegard Buer, J. Strandhagen, F. Chan (2018)
The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agendaInternational Journal of Production Research, 56
M. Wilkesmann, Uwe Wilkesmann (2018)
Industry 4.0 – organizing routines or innovations?Vine, 48
E. Laudante (2017)
Industry 4.0, Innovation and Design. A new approach for ergonomic analysis in manufacturing systemThe Design Journal, 20
Mehmet Karaköse, Hasan Yetiş (2017)
A Cyberphysical System Based Mass-Customization Approach with Integration of Industry 4.0 and Smart CityWirel. Commun. Mob. Comput., 2017
E. Synnes, T. Welo (2016)
Enhancing Integrative Capabilities through Lean Product and Process DevelopmentProcedia CIRP, 54
Martina Gasova, M. Gašo, A. Stefánik (2017)
Advanced Industrial Tools of Ergonomics Based on Industry 4.0 ConceptProcedia Engineering, 192
Yi Wang, Haishu Ma, Jinghui Yang, Ke-sheng Wang (2017)
Industry 4.0: a way from mass customization to mass personalization productionAdvances in Manufacturing, 5
A. Jabbour, C. Jabbour, Moacir Filho, David Roubaud (2018)
Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operationsAnnals of Operations Research, 270
Yibai Li, K. Joshi (2012)
The State of Social Computing Research: A Literature Review and Synthesis using the Latent Semantic Analysis Approach
D. Kolberg, Joshua Knobloch, D. Zühlke (2017)
Towards a lean automation interface for workstationsInternational Journal of Production Research, 55
Yang Lu (2017)
Industry 4.0: A survey on technologies, applications and open research issuesJ. Ind. Inf. Integr., 6
A. Trappey, C. Trappey, Usharani Govindarajan, Allen Chuang, John Sun (2017)
A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0Adv. Eng. Informatics, 33
Tawfik Borgi, Adel Hidri, Benjamin Neef, M. Naceur (2017)
Data analytics for predictive maintenance of industrial robots2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET)
E. Francalanza, J. Borg, C. Constantinescu (2017)
A knowledge-based tool for designing cyber physical production systemsComput. Ind., 84
In recent years, Industry 4.0 has received immense attention from academic community, practitioners and the governments across nations resulting in explosive growth in the publication of articles, thereby making it imperative to reveal and discern the core research areas and research themes of Industry 4.0 extant literature. The purpose of this paper is to discuss research dynamics and to propose a taxonomy of Industry 4.0 research landscape along with future research directions.Design/methodology/approachA data-driven text mining approach, Latent Semantic Analysis (LSA), is used to review and extract knowledge from the large corpus of the 503 abstracts of academic papers published in various journals and conference proceedings. The adopted technique extracts several latent factors that characterise the emerging pattern of research. The cross-loading analysis of high-loaded papers is performed to identify the semantic link between research areas and themes.FindingsLSA results uncover 13 principal research areas and 100 research themes. The study discovers “smart factory” and “new business model” as dominant research areas. A taxonomy is developed which contains five topical areas of Industry 4.0 field.Research limitations/implicationsThe data set developed is based on systematic article refining process which includes the keywords search in selected electronic databases and articles limited to English language only. So, there is a possibility that other related work may not be captured in the data set which may be published in other than examined databases and are in non-English language.Originality/valueTo the best of the authors’ knowledge, this study is the first of its kind that has used the LSA technique to reveal research trends in Industry 4.0 domain. This review will be beneficial to scholars and practitioners to understand the diversity and to draw a roadmap of Industry 4.0 research. The taxonomy and outlined future research agenda could help the practitioners and academicians to position their research work.
Journal of Manufacturing Technology Management – Emerald Publishing
Published: Jan 23, 2020
Keywords: Technological innovation; Latent semantic analysis; Industry 4.0; Advanced manufacturing technology
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.