IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6836-d830816.html
   My bibliography  Save this article

Scientometric Analysis and AHP for Hierarchizing Criteria Affecting Construction Equipment Operators’ Performance

Author

Listed:
  • Kleopatra Petroutsatou

    (Faculty of Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Ilias Ladopoulos

    (Faculty of Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Konstantina Tsakelidou

    (Faculty of Engineering, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

The construction sector constitutes a significant indicator of a country’s economic growth. Construction equipment is an integral part of every construction project, and its contribution during construction determines any project’s completion. It also represents a significant capital investment for companies in this sector. A major strategic goal for such companies is the increase in the equipment’s productivity, which is affected mostly by its operators. The aim of this research is to recognize and prioritize the criteria affecting the performance of construction equipment operators. Scientometric analysis, using VOSViewer software, was implemented for the formation of different kinds of bibliometric networks, proposing a holistic approach to this research field. Those networks delineated the field with regard to construction equipment operators and revealed the correlations between the network’s items, which were formed because of previous research, and finally, conclusions were drawn. An extensive literature review in conjunction with structured interviews with experts and operators determined the factors affecting the operators’ performance, with a view to creating a hybrid decision model based on the Analytical Hierarchy Process (AHP), as implemented by the Transparent Choice tool. Many experts evaluated the criteria affecting the operators’ performance, leading to remarkable conclusions. Moreover, a few pointers for future research are provided.

Suggested Citation

  • Kleopatra Petroutsatou & Ilias Ladopoulos & Konstantina Tsakelidou, 2022. "Scientometric Analysis and AHP for Hierarchizing Criteria Affecting Construction Equipment Operators’ Performance," Sustainability, MDPI, vol. 14(11), pages 1-24, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6836-:d:830816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6836/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6836/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Murat Gunduz & Abdulrahman Abu-Hijleh, 2020. "Assessment of Human Productivity Drivers for Construction Labor through Importance Rating and Risk Mapping," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    2. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    3. Ozdemir, Mujgan S. & Saaty, Thomas L., 2006. "The unknown in decision making: What to do about it," European Journal of Operational Research, Elsevier, vol. 174(1), pages 349-359, October.
    4. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    5. Christelle Havard & Brigitte Rorive & André Sobczak, 2009. "Client, employer and employee: Mapping a complex triangulation," Post-Print hal-00771101, HAL.
    6. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    7. Barlow, James, 2000. "Innovation and learning in complex offshore construction projects," Research Policy, Elsevier, vol. 29(7-8), pages 973-989, August.
    8. Guinevere Smithers & Derek Walker, 2000. "The effect of the workplace on motivation and demotivation of construction professionals," Construction Management and Economics, Taylor & Francis Journals, vol. 18(7), pages 833-841.
    9. Ioana Beleiu & Emil Crisan & Razvan Nistor, 2015. "Main Factors Influencing Project Success," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 11, pages 59-72.
    Full references (including those not matched with items on IDEAS)

    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. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    3. Ed Burton & David John Edwards & Chris Roberts & Nicholas Chileshe & Joseph H. K. Lai, 2021. "Delineating the Implications of Dispersing Teams and Teleworking in an Agile UK Construction Sector," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    4. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Loredana Canfora & Corrado Costa & Federico Pallottino & Stefano Mocali, 2021. "Trends in Soil Microbial Inoculants Research: A Science Mapping Approach to Unravel Strengths and Weaknesses of Their Application," Agriculture, MDPI, vol. 11(2), pages 1-21, February.
    6. Abdulaziz I. Almulhim & Simon Elias Bibri & Ayyoob Sharifi & Shakil Ahmad & Khalid Mohammed Almatar, 2022. "Emerging Trends and Knowledge Structures of Urbanization and Environmental Sustainability: A Regional Perspective," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    7. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    8. Hull, Simon Antony, 2024. "All for one and one for all? Exploring the nexus of land administration, land management and land governance," Land Use Policy, Elsevier, vol. 144(C).
    9. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    10. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & Didier Chabaud, 2022. "Emerging Trends and Knowledge Structures of Smart Urban Governance," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    11. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    13. Esther Prieto-Jiménez & Luis López-Catalán & Blanca López-Catalán & Guillermo Domínguez-Fernández, 2021. "Sustainable Development Goals and Education: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    14. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    15. Margarida Rodrigues & Cidália Oliveira & MárioFranco & Ana Daniel, 2024. "A Bibliometric Study About the Rural Creative Class: Proposal of a Conceptual Framework and Future Agenda," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15278-15303, September.
    16. Vanessa Ioannoni & Tommaso Vitale & Corrado Costa & Iris Elliott, 2020. "Depicting communities of Romani studies: on the who, when and where of Roma related scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1473-1490, March.
    17. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
    18. Weisheng Chiu & Thomas Chun Man Fan & Sang-Back Nam & Ping-Hung Sun, 2021. "Knowledge Mapping and Sustainable Development of eSports Research: A Bibliometric and Visualized Analysis," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    19. Carmona-Lavado, Antonio & Gimenez-Fernandez, Elena M. & Vlaisavljevic, Vesna & Cabello-Medina, Carmen, 2023. "Cross-industry innovation: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    20. Gallego-Losada, Rocío & Montero-Navarro, Antonio & Rodríguez-Sánchez, José-Luis & González-Torres, Thais, 2022. "Retirement planning and financial literacy, at the crossroads. A bibliometric analysis," Finance Research Letters, Elsevier, vol. 44(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:gam:jsusta:v:14:y:2022:i:11:p:6836-:d:830816. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.