Evaluation of the Implications of Big Data Analytics with Organizational  Performance in Small and Medium Enterprises and Its Associated Role of Knowledge Management

Sattar Kadim Hachim Almrshed; Abbas Abdulkhudhur Abdullah  Al Shaalan; Mustafa Razzaq  Flayyih

doi:10.48165/sajssh.2024.5507

Authors

Sattar Kadim Hachim Almrshed Department of Business Administration, Al-Muthanna University, Samawah, Al Muthanna Province, Iraq
Abbas Abdulkhudhur Abdullah Al Shaalan Department of Business Administration, Al-Muthanna University, Samawah, Al Muthanna Province, Iraq.
Mustafa Razzaq Flayyih Accounting Department, Mazaya University College, Nasiriyah, Dhi Qar Governorate, Iraq.

DOI:

https://doi.org/10.48165/sajssh.2024.5507

Keywords:

organizational performance, small enterprises, medium enterprises, knowledge management

Abstract

Introduction: Big data are distinguished by their quantity, speed, variety, and reliability. Big data presents opportunity for “small and medium-sized” businesses (SME), in addition to being a reality for giant firms. The term "big data" denotes to the fact that numerous varieties of data have become more easily accessible, and its consequences for various organizational types may vary from one another. SME can benefit greatly from creating and utilizing big data. Aim and objectives: The main purpose of the study is to assess the implications of “big data analytics” with organizational performance in small and medium enterprises and its associated role of knowledge management. Methods: This study's main goal was to develop a big data KM model for SME through an examination of several business situations. This study used the qualitative analysis of data methodology. The study gathered examples of large data for SME, which it then used to test a KM model. Data collection, coding, and analysis are the three main components of qualitative data analysis. Results: Big data collection is a business endeavor for SMEs. An SME needs to specify its big data plans and deal with all potential organizational difficulties. Big data must be strategically used in a way that is consistent with the SME's business strategy and embraces a long-term strategy for competitive sustainability. To tackle the big data challenge, IT solutions are chosen based on the definition of data requirements.

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