IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v181y2022ics0040162522003122.html
   My bibliography  Save this article

Industry 4.0 and supply chain. A Systematic Science Mapping analysis

Author

Listed:
  • Núñez-Merino, Miguel
  • Maqueira-Marín, Juan Manuel
  • Moyano-Fuentes, José
  • Castaño-Moraga, Carlos Alberto

Abstract

The purpose of this work is to offer a grouping of the aspects that the literature addresses on Industry 4.0 and its relationship with the supply chain, to contribute an innovative literature review and bibliometric analysis technique, and to detect gaps in the research and how these can be covered in the future. The Industry 4.0 concept originated in manufacturing but has evolved over recent years and extended beyond the limits of the focal company to embrace the entire supply chain. This study applies a variety of techniques sequentially. First, the initial phases of a Systematic Literature Review are applied to identify, select, and evaluate documents for analysis. Subsequently, Artificial Intelligence/Natural Language Processing techniques are applied to identify research topics and group articles. Lastly, bibliometric analysis techniques are applied using an innovative tool that enables dynamic data association. A total of 41 research topics are identified that produce a grouping of 663 articles in 8 clusters. The obtained results are used for an analysis of the extant literature, the detection of gaps, and proposals to guide future research in the Industry 4.0 and supply chain sphere.

Suggested Citation

  • Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:tefoso:v:181:y:2022:i:c:s0040162522003122
    DOI: 10.1016/j.techfore.2022.121788
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522003122
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.121788?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    2. Jacopo Grecuccio & Edoardo Giusto & Fabio Fiori & Maurizio Rebaudengo, 2020. "Combining Blockchain and IoT: Food-Chain Traceability and Beyond," Energies, MDPI, vol. 13(15), pages 1-19, July.
    3. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    4. Mara Bergamaschi & Cristina Bettinelli & Elena Lissana & Pasquale Massimo Picone, 2021. "Correction to: Past, ongoing, and future debate on the interplay between internationalization and digitalization," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1033-1033, December.
    5. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    6. De Giovanni, Pietro, 2021. "Smart Supply Chains with vendor managed inventory, coordination, and environmental performance," European Journal of Operational Research, Elsevier, vol. 292(2), pages 515-531.
    7. Chang Liu & Yongfu Feng & Dongtao Lin & Liang Wu & Min Guo, 2020. "Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5113-5131, September.
    8. Chekurov, Sergei & Metsä-Kortelainen, Sini & Salmi, Mika & Roda, Irene & Jussila, Ari, 2018. "The perceived value of additively manufactured digital spare parts in industry: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 205(C), pages 87-97.
    9. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    10. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    11. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    12. Yang, Chung-Shan, 2019. "Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 108-117.
    13. Fran Casino & Venetis Kanakaris & Thomas K. Dasaklis & Socrates Moschuris & Spiros Stachtiaris & Maria Pagoni & Nikolaos P. Rachaniotis, 2021. "Blockchain-based food supply chain traceability: a case study in the dairy sector," International Journal of Production Research, Taylor & Francis Journals, vol. 59(19), pages 5758-5770, October.
    14. Mohammad Reza Rasouli, 2019. "Intelligent process-aware information systems to support agility in disaster relief operations: a survey of emerging approaches," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1857-1872, March.
    15. Chen, Liwei & Dui, Hongyan & Zhang, Chi, 2020. "A resilience measure for supply chain systems considering the interruption with the cyber-physical systems," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    16. Alexandre Dolgui & Dmitry Ivanov & Suresh P. Sethi & Boris Sokolov, 2019. "Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications," International Journal of Production Research, Taylor & Francis Journals, vol. 57(2), pages 411-432, January.
    17. Mara Bergamaschi & Cristina Bettinelli & Elena Lissana & Pasquale Massimo Picone, 2021. "Past, ongoing, and future debate on the interplay between internationalization and digitalization," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 983-1032, December.
    18. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    19. Germán González Rodríguez & Jose M. Gonzalez-Cava & Juan Albino Méndez Pérez, 2020. "An intelligent decision support system for production planning based on machine learning," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1257-1273, June.
    20. Felipe Cerdas & Max Juraschek & Sebastian Thiede & Christoph Herrmann, 2017. "Life Cycle Assessment of 3D Printed Products in a Distributed Manufacturing System," Journal of Industrial Ecology, Yale University, vol. 21(S1), pages 80-93, November.
    21. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    22. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    23. Dmitry Ivanov & Christopher S. Tang & Alexandre Dolgui & Daria Battini & Ajay Das, 2021. "Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2055-2078, April.
    24. Lohmer, Jacob & Bugert, Niels & Lasch, Rainer, 2020. "Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study," International Journal of Production Economics, Elsevier, vol. 228(C).
    25. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
    26. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    27. V. K. Manupati & Tobias Schoenherr & M. Ramkumar & Stephan M. Wagner & Sai Krishna Pabba & R. Inder Raj Singh, 2020. "A blockchain-based approach for a multi-echelon sustainable supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2222-2241, April.
    28. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
    29. de Corbière, François & Rowe, Frantz & Saunders, Carol Stoak, 2019. "Digitalizing interorganizational relationships: Sequential and intertwined decisions for data synchronization," International Journal of Information Management, Elsevier, vol. 48(C), pages 203-217.
    30. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    31. Sven Winkelhaus & Eric H. Grosse, 2020. "Logistics 4.0: a systematic review towards a new logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 18-43, January.
    32. Wang, Qunzhi & Liu, Xinlin & Liu, Zijian & Xiang, Qin, 2020. "Option-based supply contracts with dynamic information sharing mechanism under the background of smart factory," International Journal of Production Economics, Elsevier, vol. 220(C).
    33. Lei Li & Ting Chi & Tongtong Hao & Tao Yu, 2018. "Customer demand analysis of the electronic commerce supply chain using Big Data," Annals of Operations Research, Springer, vol. 268(1), pages 113-128, September.
    34. C.K.M. Lee & Yaqiong Lv & K.K.H. Ng & William Ho & K.L. Choy, 2018. "Design and application of Internet of things-based warehouse management system for smart logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2753-2768, April.
    35. Cavalcante, Ian M. & Frazzon, Enzo M. & Forcellini, Fernando A. & Ivanov, Dmitry, 2019. "A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing," International Journal of Information Management, Elsevier, vol. 49(C), pages 86-97.
    36. Miguel Núñez-Merino & Juan Manuel Maqueira-Marín & José Moyano-Fuentes & Pedro José Martínez-Jurado, 2020. "Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5034-5061, July.
    37. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    38. Morteza Ghobakhloo, 2020. "Determinants of information and digital technology implementation for smart manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2384-2405, April.
    39. Ying Cheng & Luning Bi & Fei Tao & Ping Ji, 2020. "Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1707-1720, October.
    40. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    41. Winkelhaus, S. & Grosse, E. H., 2020. "Logistics 4.0: a systematic review towards a new logistics system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118539, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    42. Sunil Luthra & Anil Kumar & Edmundas Kazimieras Zavadskas & Sachin Kumar Mangla & Jose Arturo Garza-Reyes, 2020. "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1505-1521, March.
    43. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    44. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    45. Nasiri, Mina & Ukko, Juhani & Saunila, Minna & Rantala, Tero, 2020. "Managing the digital supply chain: The role of smart technologies," Technovation, Elsevier, vol. 96.
    46. Ana Beatriz Lopes de Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Moacir Godinho Filho & David Roubaud, 2018. "Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations," Annals of Operations Research, Springer, vol. 270(1), pages 273-286, November.
    47. Kimani, Danson & Adams, Kweku & Attah-Boakye, Rexford & Ullah, Subhan & Frecknall-Hughes, Jane & Kim, Ja, 2020. "Blockchain, business and the fourth industrial revolution: Whence, whither, wherefore and how?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    48. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    49. Noelia Garcia-Buendia & José Moyano-Fuentes & Juan Manuel Maqueira-Marín & M. J. Cobo, 2021. "22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1901-1921, March.
    50. Christian F. Durach & Joakim Kembro & Andreas Wieland, 2017. "A New Paradigm for Systematic Literature Reviews in Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(4), pages 67-85, October.
    51. Chen-Fu Chien & Yun-Siang Lin & Sheng-Kai Lin, 2020. "Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor," International Journal of Production Research, Taylor & Francis Journals, vol. 58(9), pages 2784-2804, May.
    52. Peter Ralston & Jennifer Blackhurst, 2020. "Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5006-5019, July.
    53. Manuel Parente & Gonçalo Figueira & Pedro Amorim & Alexandra Marques, 2020. "Production scheduling in the context of Industry 4.0: review and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5401-5431, September.
    54. Jacob Lohmer & Rainer Lasch, 2021. "Production planning and scheduling in multi-factory production networks: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2028-2054, April.
    55. Watanabe, Chihiro & Naveed, Nasir & Neittaanmäki, Pekka, 2018. "Digital solutions transform the forest-based bioeconomy into a digital platform industry - A suggestion for a disruptive business model in the digital economy," Technology in Society, Elsevier, vol. 54(C), pages 168-188.
    56. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maheshwari, Pratik & Kamble, Sachin & Belhadi, Amine & Venkatesh, Mani & Abedin, Mohammad Zoynul, 2023. "Digital twin-driven real-time planning, monitoring, and controlling in food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    2. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    3. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    4. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    5. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    6. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    7. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    8. Yu, Yubing & Zhang, Justin Zuopeng & Cao, Yanhong & Kazancoglu, Yigit, 2021. "Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Farajpour, Farnoush & Hassanzadeh, Alireza & Elahi, Shaban & Ghazanfari, Mehdi, 2022. "Digital supply chain blueprint via a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    10. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    11. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    12. Cui, Yongfeng & Liu, Wei & Rani, Pratibha & Alrasheedi, Melfi, 2021. "Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    13. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    14. Arunmozhi, Manimuthu & Venkatesh, V.G. & Arisian, Sobhan & Shi, Yangyan & Raja Sreedharan, V., 2022. "Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    15. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    16. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    17. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    18. Josip Marić & Carlos Galera-Zarco & Marco Opazo-Basáez, 2022. "The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1003-1044, December.
    19. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    20. Dieste, Marcos & Sauer, Philipp C. & Orzes, Guido, 2022. "Organizational tensions in industry 4.0 implementation: A paradox theory approach," International Journal of Production Economics, Elsevier, vol. 251(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:181:y:2022:i:c:s0040162522003122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.