Missing data can significantly impact dataset integrity and suitability, leading to unreliable statistical results, distortions, and poor decisions. The presence of missing values in data introduces inaccuracies in clustering and classification and compromises the reliability and validity of...

The aim of this study is to determine what changes wedding vendors had to make to survive the global COVID-19 pandemic. Specific focus was placed on how wedding vendor entrepreneurs use creativity, innovation, networking and advertising as a competitive advantage. Qualitative research was...

The integration of artificial intelligence (AI) in customer relationship management (CRM) holds great potential for enhancing organizational effectiveness. To achieve successful AI-CRM integration, companies must navigate a landscape filled with challenges and complexities marked by the...

Purpose This paper aims to present a literature review of the most recent optimisation methods applied to Credit Scoring Models (CSMs). Design/methodology/approach The research methodology employed technical procedures based on bibliographic and exploratory analyses. A traditional investigation...

As is widely known, the COVID-19 pandemic has affected tourism and related activities globally. Due to the restrictive measures implemented for gatherings and movements in order to limit the spread of the virus, conferences and conference tourism received a strong shock since the majority of...

This paper investigates the interaction of the dimensions of interrelated trust with the performance of employees, such as trust in the organization, trust in the manager, and trust in colleagues. In the study, a configuration perspective that evaluates social phenomena and structures with a...