Inclusive tourism has gained increasing attention as a means to provide accessible and enriching experiences for diverse groups of visitors. This study aims to identify the determinants of inclusive tourism in Borobudur Temple, a renowned Buddhist heritage site in Indonesia, using a mixed-methods approach. The research integrates qualitative and quantitative methods, employing descriptive analysis, a survey with 305 respondents, validity and reliability assessments, as well as confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) conducted with SPSS and JASP tools. The qualitative phase involves in-depth interviews and focus group discussions with various stakeholders. Following the qualitative phase, a survey is conducted to quantitatively measure the identified determinants of inclusive tourism. A structured questionnaire is administered to 305 visitors to Borobudur Temple, incorporating Likert-scale items related to the identified themes. Descriptive analysis is used to summarize the responses and provide an overview of visitors’ perceptions of inclusive tourism. The validity is assessed through content validity, ensuring the questionnaire items adequately represent the construct of inclusive tourism. Reliability is evaluated using internal consistency measures, such as Cronbach’s alpha, to examine the consistency and stability of the questionnaire’s items. Confirmatory factor analysis (CFA) is conducted to test the measurement model and assess the fit between the data and the proposed theoretical framework. Additionally, exploratory factor analysis (EFA) is employed to explore the underlying factor structure of the determinants of inclusive tourism, further refining the measurement model and identifying potential new factors or dimensions Additionally, exploratory factor analysis (EFA) is employed to explore the underlying factor structure of the determinants of inclusive tourism, further refining the measurement model and identifying potential new factors or dimensions.
Effective compensation can help companies motivate and attract employees to always improve their performance. Leadership is an important part in an organization or company to achieve all the performance targets set by the company. PT Maruki Internasional Indonesia has 241 employees, and with such a large number of employees good management is needed by the company, so as to create efficiency and effectiveness in achieving organizational goals. The purpose of this study was to analyze and determine whether compensation and leadership have an effect on employee performance at PT Maruki Internasional Indonesia Makassar.This study is a descriptive and causal research because this study aims to analyze the relationship between variables that describe the results of research using quantitative methods. The sampling technique used in this study is probability sampling with simple random sampling, because the number of population is known, then in determining the number of samples using the Slovin formula, with the results of the sample involving 71 respondents. The data analysis technique used descriptive analysis and multiple linear regression analysis.Based on the results of the descriptive analysis of the Compensation, Leadership and Employee Performance variables as a whole, the magnitude of the influence of Compensation and Leadership is 75.8% and the remaining 24.2% is influenced by other variables not examined in this study. Partially, compensation and leadership have a significant effect on employee performance at PT Maruki Internasional Indonesia Makassar. Keywords: Compensation, Leadership, Employee Performance
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.