Predicting Loss Risks for B2B Tendering Processes

Zahid, Eelaaf; Ong, Yuya Jeremy; Megahed, Aly; Nakamura, Taiga

doi:10.1109/bigdata52589.2021.9671710

2021 IEEE International Conference on Big Data (Big Data) 2021

DOI: 10.1109/bigdata52589.2021.9671710

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Predicting Loss Risks for B2B Tendering Processes

Eelaaf Zahid

Yuya Jeremy Ong

Aly Megahed

et al.

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2024

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Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice

Herrmann,

Cobo Martín

2024

Manag Rev Q

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This study investigates the lack of adoption of pricing models for tenders in business-to-business (B2B) and business-to-government (B2G) markets. We aim to identify the gaps between research and practice and propose a future research agenda to bridge these gaps. Our study contributes in three ways: First, we outline how our research agenda can influence the adoption of pricing models across specific practitioner roles in tendering. Second, we introduce systematic science mapping (SSM) as a novel methodology for literature reviews. SSM combines a systematic review and science mapping in a multi-stage, mixed-methods research design. We chart the evolution of 1042 research publications from 1956 to 2022 into three thematic areas. Our review of 163 gray literature publications reveals seven schools of thought on tender price modeling and the causes of theory-to-practice gaps. Finally, we introduce a new metric, the mapping factor (MAPF), as a robustness indicator for systematic literature reviews.

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Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice

Herrmann,

Cobo Martín

2024

Manag Rev Q

View full text Add to dashboard Cite

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Predicting Loss Risks for B2B Tendering Processes

Cited by 1 publication

References 15 publications

Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice

Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice

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