IDEAS home Printed from https://ideas.repec.org/a/hur/ijarbs/v6y2016i4p325-338.html
   My bibliography  Save this article

A Research Framework on Big Data awareness and Success Factors toward the Implication of Knowledge Management: Critical Review and Theoretical Extension

Author

Listed:
  • Tengku Adil Tengku Izhar
  • Mohd Shamsul Mohd Shoid

Abstract

People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of big data. Big data have transformed the way organizations across industries implement new approach to handle huge amount of data. It means change in skills, structures, technologies and architectures. Organizations rely to this data to achieve specific business priorities. The challenge is how to capture this data to be considered relevant for the specific organization activities because determining relevant data is a key to delivering value from massive amounts of data to support organizations knowledge. This paper proposes a framework to evaluate the level of big data awareness and success factors toward the implication of knowledge management in organizations. The framework incorporates big data and knowledge management. It will allow domain experts and entrepreneurs to evaluate the level of big data in their organizations by looking at the level of understanding, usefulness and effectiveness of big data. The contribution of this paper serve as a first step in understanding the relationship between big data and knowledge management.

Suggested Citation

  • Tengku Adil Tengku Izhar & Mohd Shamsul Mohd Shoid, 2016. "A Research Framework on Big Data awareness and Success Factors toward the Implication of Knowledge Management: Critical Review and Theoretical Extension," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(4), pages 325-338, April.
  • Handle: RePEc:hur:ijarbs:v:6:y:2016:i:4:p:325-338
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/A_Research_Framework_on_Big_Data_awareness_and_Success_Factors_toward_the_Implication_of_Knowledge_Management_Critical_Review_and_Theoretical_Extension.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/A_Research_Framework_on_Big_Data_awareness_and_Success_Factors_toward_the_Implication_of_Knowledge_Management_Critical_Review_and_Theoretical_Extension.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Perrons, Robert K. & Jensen, Jesse W., 2015. "Data as an asset: What the oil and gas sector can learn from other industries about “Big Data”," Energy Policy, Elsevier, vol. 81(C), pages 117-121.
    2. Massa, Silvia & Testa, Stefania, 2009. "A knowledge management approach to organizational competitive advantage: Evidence from the food sector," European Management Journal, Elsevier, vol. 27(2), pages 129-141, April.
    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. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    2. Mohamed Saeudy & Ali Meftah Gerged & Khaldoon Albitar, 2022. "Accounting Perspectives on The Business Value of Big Data During and Beyond The COVID-19 Pandemic," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 174-199, June.
    3. 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.
    4. Janarthanan Balakrishnan & Pantea Foroudi, 2020. "Does Corporate Reputation Matter? Role of Social Media in Consumer Intention to Purchase Innovative Food Product," Corporate Reputation Review, Palgrave Macmillan, vol. 23(3), pages 181-200, August.
    5. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).
    6. Amankwah-Amoah, Joseph, 2016. "Competing technologies, competing forces: The rise and fall of the floppy disk, 1971–2010," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 121-129.
    7. Schuelke-Leech, Beth-Anne & Barry, Betsy & Muratori, Matteo & Yurkovich, B.J., 2015. "Big Data issues and opportunities for electric utilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 937-947.
    8. Samuel B. Condic & Roger Morefield, 2021. "Hayek on the essential dispersion of market knowledge," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 34(4), pages 449-463, December.
    9. Dirk Basten & Thilo Haamann, 2018. "Approaches for Organizational Learning: A Literature Review," SAGE Open, , vol. 8(3), pages 21582440187, August.
    10. Perrons, Robert K. & McAuley, Derek, 2015. "The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector," Resources Policy, Elsevier, vol. 46(P2), pages 234-238.
    11. Rachel E. Brackenridge & Vasily Demyanov & Oleg Vashutin & Ruslan Nigmatullin, 2022. "Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning," Energies, MDPI, vol. 15(3), pages 1-23, January.
    12. Animesh Agrawal & Chitranjan Kumar & Suraj Kumar Mukti, 2021. "Role of Information and Communication Technology (ICT) to Enhance the Success of Knowledge Management (KM): a Study in a Steel Plant," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1760-1786, December.
    13. Mahboobeh Farshad & Gholamreza Azizi, 2015. "Relationship of Team Learning With Knowledge Management in Second Grade High School Teachers in Saveh City," International Journal of Learning and Development, Macrothink Institute, vol. 5(4), pages 1-12, December.
    14. Alvarez, Antonio & Garcia-Cornejo, Beatriz & Perez-Mendez, Jose A. & Roibas, David, 2016. "Diversification in Spanish Dairy Farms: Key Drivers of Performance," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(B), pages 1-26, August.
    15. Amankwah-Amoah, Joseph, 2019. "Big data analytics and business failures in data-Rich environments: An organizing framework," MPRA Paper 91264, University Library of Munich, Germany.
    16. Daniel Badulescu & Tomina Saveanu & Diana-Teodora Trip & Alina Badulescu, 2024. "Business Opportunities and Drivers for Health and Spa Tourism: A Qualitative Research on Baile Felix Spa Resort, Romania," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    17. Himanshu Joshi & Jamal A. Farooquie & Deepak Chawla, 2016. "Use of Knowledge Management for Competitive Advantage: The Case Study of Max Life Insurance," Global Business Review, International Management Institute, vol. 17(2), pages 450-469, April.
    18. Perrons, Robert K. & Cosby, Tonya, 2020. "Applying blockchain in the geoenergy domain: The road to interoperability and standards," Applied Energy, Elsevier, vol. 262(C).
    19. Mahmoud Saleh Malkawi & As'ad H. Abu Rumman, 2016. "Knowledge Management Capabilities and Its Impact on Product Innovation in SME’s," International Business Research, Canadian Center of Science and Education, vol. 9(5), pages 76-85, May.

    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:hur:ijarbs:v:6:y:2016:i:4:p:325-338. 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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

    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.