The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

In the past 30 years, as sponsors of defined benefit (DB) pension plans were facing more severe underfunding challenges, pension de-risking strategies have become prevalent for firms with DB plans to reduce pension-related risks. However, it remains unclear how pension de-risking activities...

Purpose: This study explored strategies aimed at revitalizing wellness tourism in the post-coronavirus 2019 (COVID-19) era, and investigated consumer perceptions of wellness tourism before and after the outbreak of COVID-19. Design/methodology/approach: Keywords pertaining to wellness tourism...

Sports analytics has benefited immensely from the growth and popularity of Machine Learning algorithms. Machine Learning and Data Mining advances have enabled sports analysts to evaluate a player’s performance more effectively. A review of existing literature on player performance evaluation...