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Purpose: Crowdsourcing is a vital component of Malaysia's digital economy, contributing substantially to the country's GDP and employment. It plays a significant role in Malaysia's digital economy, contributing 22.6% to the country's GDP in 2020 and employing 7.7% of the population. This study examines the aspects of scientific literature including publications, authors, journals, and citation patterns to gain better understanding of the field. Design: To gain insights into crowdsourcing decision-making, a bibliometric analysis was conducted using data from the Scopus database. Scopus was chosen due to its extensive collection of academic publications and frequent updates. Findings: The analysis revealed limitations in terms of the topical scope and sources of documents. The research on crowdsourcing decision-making is still relatively scarce, as evidenced by the existence of only 23 relevant documents. The research on crowdsourcing decision-making remains limited, emphasizing the importance of future studies in this area especially to Malaysia in capitalizing the digital economy. Research Limitations: This bibliometric analysis focuses primarily on published scientific literature, which may not capture all forms of research output. It may overlook other valuable contributions such as patents, technical reports, conference papers, and unpublished research. Practical Implications: This scarcity highlights the need for further studies to explore and expand our understanding of crowdsourcing decision-making theoretically and practically. This study has shed light on the paucity of research on crowdsourcing bidding decision-making on a global scale. Nonetheless, the study of this topic will greatly benefit Malaysia on capitalizing its digital economy forefront. Originality: This review has the quality of being new the extent to none of former reviews had detailed the statistical analyses on topic of Crowdsourcing Bidding Decision-Making in Malaysia. In addition, they were merely 23 total publications on crowdsourcing bidding decision making worldwide to date. Many scholarly works on crowdsourcing are focusing on crowdsourcing platforms, social networking (online), internet and social media related studies. Keywords: Crowdsourcing, Bidding Decision-making, Bibliometric Analysis, Malaysia, MDEC, 1.0 Introduction Crowdsourcing in Malaysia is one of the digital economy's pillars, contributing 22.6% of the Malaysian GDP in 2020. This sector also contributes 7.7% of total employment in Malaysia [...]