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Journal of Computational Social Dynamics

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Published

2021-08-16

Issue

Vol. 6 No. 3 (2021): Journal of Computational Social Dynamics-3rd-Q

Section

Articles

How to Cite

Abdullah, N., & Rahman, M. (2021). Examining the Role and Impact of Big Data Analytics on Business Model Innovation and Competitive Advantage. Journal of Computational Social Dynamics, 6(3), 46–57. Retrieved from https://vectoral.org/index.php/JCSD/article/view/45

Examining the Role and Impact of Big Data Analytics on Business Model Innovation and Competitive Advantage

Nurul Abdullah

Universiti Utara Malaysia

Mahfujur Rahman

Universiti Utara Malaysia

Keywords: Big data analytics, Business model innovation, Competitive advantage, Data-driven culture, Strategic alignment, Organizational resistance

Abstract

Big data analytics has emerged as a disruptive technology that is transforming how organisations operate and compete. The exponential growth of data from an increasing variety of sources presents simultaneously opportunities and challenges for businesses. This research article examines the role and impact of big data analytics on business model innovation and competitive advantage. A review of academic literature explores the theoretical links between big data analytics, business model innovation, and competitive advantage. The findings suggest that big data analytics facilitates business model innovation by enabling data-driven decision making, allowing experimentation and optimisation, and providing personalized customer experiences. Key enablers and inhibitors of leveraging big data analytics are identified. Case studies of companies successfully utilizing big data analytics to innovate their business models and gain competitive advantage are analyzed. The article concludes with a discussion of best practices and a proposed framework for exploiting big data analytics to transform business models and achieve sustained competitive advantage. The profound implications of big data analytics on the competitive landscape across industries are discussed.

Author Biographies

Nurul Abdullah, Universiti Utara Malaysia

 

 

 

 

Mahfujur Rahman, Universiti Utara Malaysia

 

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.