Authors:
Ni Ketut Dewi Irwanti
Addresses:
Faculty of Health, Psychology, Engineering and Computer Science, Triatma Mulya University, North Kuta, Bali, Indonesia.
Abstract:
The contemporary paradigm of tourism management has undergone a fundamental shift from merely increasing visitor numbers toward optimising tourist comfort and destination system performance. This study investigates the influence of ergonomic tourism destination dimensions on tourist comfort at Kebun Raya Eka Karya Bedugul, Bali — a nature-based botanical garden destination situated at an altitude of 1,250–1,450 meters above sea level. Five ergonomic dimensions were examined: human resource capacity for service delivery, infrastructure and facility design, information and communication technology, tourist activities, and environmental conditions of the destination. Tourist comfort was operationalised as a multidimensional construct encompassing physical, psychological, and cognitive comfort. An explanatory quantitative approach was adopted, utilising Structural Equation Modelling–Partial Least Squares (SEM-PLS) with data collected from 100 purposively selected tourists. Results demonstrated that four dimensions — facility design (β = 0.150, p < 0.05), information and communication technology (β = 0.269, p < 0.01), tourist activities (β = 0.258, p < 0.01), and environmental conditions (β = 0.447, p < 0.001) — significantly influenced tourist comfort. Conversely, human resource capacity in service delivery did not yield a statistically significant effect (β = 0.038, p > 0.05). Environmental conditions emerged as the most dominant determinant of tourist comfort. These findings underscore the critical importance of integrating applied ergonomics principles in nature-based tourism destination planning and management to achieve sustainable, safe, and comfortable tourist experiences.
Keywords: Ergonomic Tourism; Tourist Comfort; Nature-Based Tourism; SEM-PLS and Destination Management; Physical Environments; Service Facilities; Inherent Complexity.
Received on: 13/07/2025, Revised on: 18/09/2025, Accepted on: 25/10/2025, Published on: 03/03/2026
DOI: 10.64091/ATIOB.2026.000289
AVE Trends in Intelligent Organisational Behaviour, 2026 Vol. 1 No. 1 , Pages: 35-44