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INDONESIA
Economic and Business Horizon
Published by Publindo Akademika
ISSN : -     EISSN : 29632765     DOI : 10.54518/ebh
Core Subject : Economy,
Economic and Business Horizon (EBH) is an open access journal that publishes multidisciplinary economic and business research in an inclusive scope and format. It allows academics, scholars, and researchers with different backgrounds to share useful research results in the fields of management, marketing, finance, accounting, banking, information systems, corporate governance, business ethics etc. In addition, they can submit their work in the form of empirical research, theoretical and conceptual ideas, reviews, letters, and applied studies. The journal applies an efficient and objective peer review by considering each submission based on scientific merit and research integrity. This journal aims to make a significant contribution to research and knowledge worldwide through original and high-quality publications.
Articles 83 Documents
Analyzing Turnover Intention at PT Surya Karya Setiabudi: The Effects of Job Insecurity, Organizational Support, and Workload Artha, Galih Nindi; Nuvriasari, Audita
Economic and Business Horizon Vol. 4 No. 3 (2025): September
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.4.3.2025.743

Abstract

This study aims to examine the influence of job insecurity, organizational support, and workload on turnover intention among employees at PT Surya Karya Setiabudi. The background of this research lies in the growing concern over high employee turnover rates and the need to understand the factors that drive employees to consider leaving their jobs. The study employed a quantitative approach, involving 44 respondents selected through purposive sampling. Data collection was conducted using questionnaires, and instrument testing confirmed that the items used were both valid and reliable. To ensure the suitability of the regression model, classical assumption tests were conducted and indicated that the data was normally distributed, free from multicollinearity, and did not suffer from heteroscedasticity. The results of the analysis revealed that job insecurity does not have a significant impact on turnover intention, suggesting that employees may not consider job uncertainty as a primary reason to resign. Similarly, organizational support did not significantly affect turnover intention. However, workload was found to have a positive and significant effect, indicating that an excessive workload increases employees' intention to leave the organization. These findings highlight workload as the dominant factor influencing turnover intention.
Experiential Marketing, Value, and Service Quality: Impact on RedDoorz Customer Satisfaction Tirtakusuma, Christian Johny Priyo; Nuvriasari, Audita
Economic and Business Horizon Vol. 4 No. 3 (2025): September
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.4.3.2025.753

Abstract

Customer satisfaction is a key indicator of business performance in the hospitality sector, often influenced by marketing strategies, perceived value, and the quality of service. This study aims to investigate the impact of experiential marketing, customer value, and service quality on customer satisfaction. The research employed a quantitative approach, utilizing a non-probability sampling technique, and involved 100 respondents who completed structured questionnaires. Data analysis was carried out through instrument testing, classical assumption testing, and multiple linear regression. The instrument test confirmed that the data used was both valid and reliable. Furthermore, the classical assumption test indicated that the data were normally distributed and met the assumptions of no multicollinearity and no heteroscedasticity, making the regression model appropriate for interpretation. The analysis revealed three key findings: first, experiential marketing has a positive and significant effect on customer satisfaction; second, customer value also has a positive and significant influence on customer satisfaction; and third, service quality has a negative and significant impact on customer satisfaction. In conclusion, the study demonstrates that both marketing experiences and perceived value strongly shape customer satisfaction, while poor service quality can reduce satisfaction levels.
Evaluating Factors Affecting the Adoption of a Mobile Assisted Business Application Using the Technology Acceptance Model Awaluddin, Muhammad
Economic and Business Horizon Vol. 2 No. 3 (2023): September
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.2.3.2023.793

Abstract

Digital transformation requires organizations to ensure that employees adopt and effectively use new systems. Understanding the drivers of adoption is therefore essential, particularly in enterprise contexts where system utilization affects performance outcomes. This study examines the factors influencing the adoption of a mobile-assisted business application using the technology acceptance model. The model focuses on the relationships among perceived usefulness, perceived ease of use, attitude toward using, behavioral intention, and actual use. A two-phase approach was applied. First, a survey of internal users yielded 212 valid responses, analyzed with Covariance-Based Structural Equation Modeling. Second, system log data were collected to capture actual usage behavior. The findings show that perceived ease of use significantly affects PU (β = 0.58, p < 0.01), while both perceived usefulness and perceived ease of use positively influence attitude toward using (β = 0.41; β = 0.29, p < 0.01). Attitude toward using predicts behavioral intention (β = 0.52, p < 0.01), which subsequently drives actual use (β = 0.36, p < 0.01). Although model fit indices are satisfactory, the R² for actual use (13%) suggests additional contextual factors shape actual usage. this study extends TAM by integrating behavioral data and offers practical insights for enhancing adoption through usability improvements, user training, and performance-based incentives.