Studying the Evolution and Development in the Field of Bid and Proposal Management

Tekade, Shruti (2024) Studying the Evolution and Development in the Field of Bid and Proposal Management. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research paper examines the impact of technological innovations and automation on bid and proposal management, a critical process for securing contracts and fostering business growth. The study uses a mixed methods approach that combine both quantitative and qualitative primary data collection method to analyse the key factors shaping the development of bid and proposal management field. It also assesses the key challenges and examines the role of automation in increasing the efficiency and effectiveness of bids and proposals. The quantitative aspect involves survey questionnaires involving bid and proposal management professionals along with examining the adoption and impact of automation tools. The qualitative component includes semi-structured interviews with bid and proposal management professionals and experts to gain in-depth insights on the same.

The study contributes to the understanding of the evolution and development of bid and proposal management practices, highlighting the critical role of automation and technology in enhancing efficiency, quality, and organisational competitiveness. The analysis reveals a pronounced adoption of automation tools, including proposal generation software and workflow automation platforms, which have been instrumental in streamlining processes, enhancing collaboration, and improving decision-making capabilities within the field. Despite the evident benefits associated with these technological advances, the research also identifies challenges associated with their integration into the current practices. These challenges highlights the need for further research aimed at overcoming adoption challenges and maximising the potential of these innovations.

By addressing gaps in existing literature and focusing on the impact of digital transformation and automation, this research aims to contribute valuable insights and sets the foundation for future academic research in this ever-evolving field of bid and proposal management.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Subjects:	Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > Economics > Business P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Business > Master of Science in International Business
Depositing User:	Ciara O'Brien
Date Deposited:	07 Jun 2025 11:24
Last Modified:	07 Jun 2025 11:24
URI:	https://norma.ncirl.ie/id/eprint/7804

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