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This study aims to contribute to the understanding of Entrepreneurship and Resource-Based View (RBV) by investigating the research landscape of Innovation Determinants (ID). Through an extensive bibliometric analysis and knowledge mapping, we explore intellectual structures, emerging trends, research hotspots, and future prospects in the field from 1990 to December 2022. Additionally, we focus on identifying top research organizations, authors, collaboration patterns, and commonly used keywords to advance knowledge and awareness in this area.

A comprehensive retrieval strategy was employed to gather 2359 articles on ID from Web of Science, covering the period from 1990 to 2022. Utilizing CiteSpace as a visualization tool, we visually represent authors, institutions, and keywords. By examining knowledge maps using various indicators, we showcase the intellectual foundation and current research frontiers within the domain of ID.

Our findings reveal significant progress in academic research on ID over the past three decades, with a substantial number of 2359 published articles in the field. This signifies considerable advancement in exploring ID. The analysis of the co-authorship network presents a network of 406 authors represented as nodes and 112 collaborative interactions as links. The network's density indicates that only a minute 0.14% of the potential connections in the ID network have been established, highlighting the need for more cohesive and extensive global collaborations in this field.

This paper's originality lies in its temporal and dynamic examination of the past thirty years, utilizing CiteSpace for co-citation and co-occurrence network analysis. Additionally, the scientometric analysis reveals key co-occurring keywords, providing insights into the conceptual characteristics within the research field.

Operating theaters are considered as the most sensitive health department within hospital centers due to their significant cost/necessity for patients and their economic benefits for hospitals. In this paper, the authors consider patients that may require more than one surgery on the same day in the surgery scheduling problem which is a major technology enhancement in the health industry.

The surgery scheduling includes both the preoperative and the postoperative units of the operative stage. Two objectives are considered in a lexicographic way: the minimization of the makespan while prioritizing the patients having two surgeries and the total completion time to perform. An adapted tabu-search algorithm is used to tackles this NP-hard scheduling problem.

The proposed schedule is more relevant for operating theaters as it integrates all stages of the surgical procedure and considers patients with more than one operation during the same day.

This paper is original as it considers patients who need more than one operation, which responds to real challenge faced by decision-makers' in hospitals. The application of the time lags between stages of the surgical procedure generates a good utilization of the hospital resources and makes the scheduling task more flexible.