A Framework for Identifying and Validating Idea Screening Criteria—A Case of Research and Development Projects in the Computing and Automation Industry

A Practical Application of the Analytic Hierarchy Process and Integer Linear Programming for Fuzzy Front-End Project Selection

“…ere are three perspectives to decision making that underpin the project selection process in the fuzzy front end of innovation. ese are managerial intuition, rational decision making, and careful reflections [11]. e majority of existing studies focus on the first perspective, which in turn is predominantly used in practice by experts.…”

“…However, a few studies have highlighted the importance of combining two perspectives, intuition and rationality. A previous study [11] has extended the understanding of existing knowledge on fuzzy front-end project selection by incorporating all three perspectives, in relation to a more robust outcome.…”

“…e rst stream focuses on concept selection, also known as idea evaluation, in the front end of the innovation process [1][2][3][4][5]. e second stream of literature demonstrates applications of the analytic hierarchy process (developed by Saaty) in project selection [1,[6][7][8], for di erent industries such as IT (information systems) [9], energy [10], computing and automation [11], and research and development [12]. e third stream emphasizes the use of mathematical models [13][14][15] in the context of decision-support tools to solve project selection problems.…”

“…A previous study [11] developed a novel and integrated framework for fuzzy front-end project selection, in the context of identified criteria for project selection via the Delphi method involving experts across seven world-class high-tech organizations from various countries. A total of 6 criteria and 22 subcriteria were identified by integrating three decisionmaking perspectives (reflections, intuition, and rationality), to address a research gap in existing studies concerning the use of one or two perspectives.…”

“…A total of 6 criteria and 22 subcriteria were identified by integrating three decisionmaking perspectives (reflections, intuition, and rationality), to address a research gap in existing studies concerning the use of one or two perspectives. e current study focuses on the practical application of the developed framework from a previous study [11], using both AHP and ILP to evaluate projects for a real-life case study. e practical application for the present study involves building on extant innovation management literature and drawing from a growing body of literature on the impact of COVID-19, to address the identified gap relating to the need for a new project selection framework that addresses not only sustainability issues such as economic, social, and environmental performance indicators [26,27] but also consideration of implementation success factors for selected new projects, particularly in the context of the impact of COVID-19 pandemic on the semiconductor industry.…”