IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v15y2021i1p59.html
   My bibliography  Save this article

The Use of Structural Equation Model (SEM) to Evaluate the Effectiveness of ISO 9001 Quality Management System (QMS) on the Performance of Oil and Gas Drilling Companies

Author

Listed:
  • Ali M. Harthy
  • Neelufer Aslam
  • Said M. Al Saqri
  • Siti Arni
  • Sulo Nair
  • Asif M. Karim

Abstract

The purpose of this paper is to evaluate the effectiveness of ISO9001 through achieving its intended objectives and determine its impact on the performance dimensions of oil and gas drilling companies which are related to operations and HSE. 375 samples were obtained using a structured questionnaire from oil and gas drilling companies operating in OMAN to conduct an empirical study. A structured equation modeling (SEM) through SMART PLS was applied in order to determine the impact of ISO 9001 effectiveness on the performance dimensions of oil and gas drilling companies. The findings of this study reveal as identified in the literature, the dimensions of the ISO 9001 effectiveness which are evaluated by the degree of achievement of the standard’s objectives, namely (continuous improvement, customer focus, prevention of nonconformities, risk-based thinking, leadership & commitment and Competency framework) and reveals its significant contribution to the performance of the oil and gas drilling companies. The operational and HSE performance of the oil and gas drilling companies are directly and significantly influenced by ISO 9001 effectiveness. The findings of this study revealed that the R2 value for the first order constructs which are the six ISO objectives are all above the 0.7, implying that the six constructs significantly explain the second order construct ISO 9001 QMS effectiveness. The R2 for QMS effectiveness is 0.460 which means that, 46% of the variation in performance can be explained by effective quality management systems. The effect size f2 was calculated to assess the effect each latent construct has on Quality Management Systems. It has been revealed in this study that PNC has the highest effect on QMS followed by CI, RBT, L&C, CF and CFW respectively. From the Q square statistic, it is inferred that QMS 9001 effectiveness has a high (strong) effect of 39% on performance. Finally, the Model fit was assessed based on the SRMR criteria by which it revealed a good fit of the model which was 0.052. These findings will support practitioners and decision makers to focus on quality related problems that might occur in their current or future projects to enhance their organization performance.

Suggested Citation

  • Ali M. Harthy & Neelufer Aslam & Said M. Al Saqri & Siti Arni & Sulo Nair & Asif M. Karim, 2021. "The Use of Structural Equation Model (SEM) to Evaluate the Effectiveness of ISO 9001 Quality Management System (QMS) on the Performance of Oil and Gas Drilling Companies," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(1), pages 1-59, July.
  • Handle: RePEc:ibn:ijbmjn:v:15:y:2021:i:1:p:59
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/0/0/41561/43110
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/0/41561
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Perrons, Robert K. & Hems, Adam, 2013. "Cloud computing in the upstream oil & gas industry: A proposed way forward," Energy Policy, Elsevier, vol. 56(C), pages 732-737.
    2. Sanjiv Kumar Jain & Inderpreet Singh Ahuja, 2012. "An evaluation of ISO 9000 initiatives in Indian industry for enhanced manufacturing performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 61(7), pages 778-804, September.
    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. Di Salvo, André L.A. & Agostinho, Feni & Almeida, Cecília M.V.B. & Giannetti, Biagio F., 2017. "Can cloud computing be labeled as “green”? Insights under an environmental accounting perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 514-526.
    2. Wang, Feng-Kwei & He, Wu, 2014. "Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan," International Journal of Information Management, Elsevier, vol. 34(3), pages 406-415.
    3. Mitra, Amit & O'Regan, Nicholas & Sarpong, David, 2018. "Cloud resource adaptation: A resource based perspective on value creation for corporate growth," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 28-38.
    4. Ahmad, Raja Wasim & Salah, Khaled & Jayaraman, Raja & Yaqoob, Ibrar & Omar, Mohammed, 2022. "Blockchain in oil and gas industry: Applications, challenges, and future trends," Technology in Society, Elsevier, vol. 68(C).
    5. Perrons, Robert K. & Richards, Matthew G., 2013. "Applying maintenance strategies from the space and satellite sector to the upstream oil and gas industry: A research agenda," Energy Policy, Elsevier, vol. 61(C), pages 60-64.
    6. Perrons, Robert K. & Cosby, Tonya, 2020. "Applying blockchain in the geoenergy domain: The road to interoperability and standards," Applied Energy, Elsevier, vol. 262(C).
    7. Milovanović Slavoljub & Milovanović Goran & Lakićević Bogdan, 2022. "The Challenges of Cloud Technology Implementation in Oil Companies," Economic Themes, Sciendo, vol. 60(3), pages 387-407, September.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:ijbmjn:v:15:y:2021:i:1:p:59. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.