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Applied Quantitative Analysis (AQA)
Published by Research Synergy Foundation
ISSN : 28084934     EISSN : 28084934     DOI : https://doi.org/10.31098/quant
Core Subject : Science, Education, Social,
Decision Sciences, Operations Research & Management Mathematics Social Sciences
Applied Quantitative Analysis (AQA) provides practician, academicians, and other relevant professionals throughout the world with the opportunity to exchanges and disseminates theoretical and practice-oriented papers for the advancement of quantitative methodology. The focus and scope of AQA are but not limited to quantitative tools, such as linear optimization, stochastic process, dynamic programming, econometrics, time series analysis, multivariate/frequentist statistics, bayesian statistics, machine learning algorithm, game theory, data science. The context of the research include but not limited to Accounting, Business and International Management, Industrial Relations, Management Information Systems, Management of Technology and Innovation, Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Tourism, Leisure and Hospitality Management, Industrial and Manufacturing Engineering, Control and Systems Engineering, Applied Mathematics, Computational Mathematics, Control and Optimization, Modeling and Simulation, Numerical Analysis, Decision Sciences, Management Science and Operations Research, Operations Management, Statistics, Probability and Uncertainty, Information Systems and Management, Economics, Econometrics and Finance, Multidisciplinary.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 76 Documents
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Agriculture IoT Adoption: Linking Technology Readiness, Acceptance and Entrepreneurial Ambidexterity Among Sabah Smallholders Nurul Alam Mohd Yaakub; Viduriati Sumin; Ung Ling Ling
Applied Quantitative Analysis Vol. 6 No. 1 (2026): January - June Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4115

Abstract

Internet of Things (IoT) adoption in agriculture potentially enhances operational efficiency and sustainability. However, smallholding farmers, such as in Sabah, often face barriers in terms of technological literacy, acceptance and resources. Sabah food security could be sustained through IoT-based technological interventions - therefore, it is important to investigate farmers’ readiness and acceptance towards IoT adoption. The objectives of this study are (i) to examine the influence of technology readiness on acceptance within a technology readiness-acceptance (TRAM) framework; (ii) to investigate the effects of perceived usefulness and ease of use on IoT adoption intention; and (iii) to analyse the mediating effect of entrepreneurial ambidexterity in the relationship of technology acceptance towards adoption intention among Sabahan smallholders. A quantitative research was conducted, using 385 datasets of which were analysed using partial least squares structural equation modeling (PLS-SEM) to test the research conceptual framework. Results demonstrated that (i) technology readiness motivators influence acceptance significantly, (ii) perceived usefulness emerges as the strongest predictor of adoption intention and (iii) entrepreneurial ambidexterity is a significant mediator, specifically through perceived ease of use. This study provides a novel thereotical extension of TRAM by establishing entrepreneurial ambidexterity as a mediator of IoT adoption intention. Practical directions are proposed for agricultural policymakers, technology providers and stakeholders in formulating strategies that align with farmers’ predispositions towards supporting the transformation of Sabah’s agricultural sector.
Self-Esteem, Social Support, and Resilience among Indonesian Female Peacekeepers Arbiansyah Tri Panca Titis; Mukminin Emha Zainul; Guritna Emanuel Taru; Zhafira
Applied Quantitative Analysis Vol. 6 No. 1 (2026): January - June Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4369

Abstract

Peacekeeping personnel play a strategic role in maintaining international peace, security, and stability in conflict-affected regions. Following the adoption of United Nations Security Council Resolution 1325, the participation of women in peacekeeping operations has received increasing global attention, emphasizing the importance of strengthening psychological resources that enable female peacekeepers to effectively adapt to challenging and high-risk operational environments. Indonesian female peacekeepers serving in United Nations missions are required not only to demonstrate professional military competence but also to maintain resilience in coping with operational stress, exposure to violence, prolonged family separation, and complex sociocultural conditions. This study aimed to examine the effects of self-esteem and social support on resilience among Indonesian female peacekeepers deployed in United Nations peacekeeping missions. A quantitative cross-sectional design was employed, using Structural Equation Modeling (SEM) in AMOS to analyze data from 112 Indonesian female peacekeepers. The findings revealed that self-esteem has a statistically significant positive effect on resilience (beta = 0.97, p < 0.05), whereas social support did not significantly predict resilience (beta = -0.02, p > 0.05). The measurement model has an acceptable level of goodness of fit, particularly on the RMSEA, CFI, and TLI indices, although GFI and AGFI indicate the need for further model refinement. These findings highlight self-esteem as a critical psychological resource that enhances resilience among Indonesian female peacekeepers. Therefore, psychological intervention programs focusing on self-esteem enhancement, adaptive coping strategies, and personal psychological strengths are recommended to improve psychological well-being, adaptability, and operational effectiveness in peacekeeping missions.
Comparative Analysis of the Effectiveness of the Marine Evacuation System (MES) and Lifeboats for Passenger Evacuation in Emergency Situations on MV. Dobonsolo Ratna Dila Vira Anzani; Iskandar Iskandar; Hartoyo Hartoyo
Applied Quantitative Analysis Vol. 6 No. 1 (2026): January - June Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4397

Abstract

Ships are a preferred mode of transportation for Indonesian society due to their consistent focus on safety and security. In ship emergencies, the use of safety equipment such as the Marine Evacuation System (MES) and lifeboats is the primary factor in ensuring the successful evacuation of crew and passengers. However, there has been limited empirical research comparing the effectiveness of the Marine Evacuation System (MES) and lifeboats, despite the fact that delays in the evacuation process can have fatal consequences. Therefore, this study aims to analyze the comparative effectiveness of the Marine Evacuation System (MES) versus lifeboats in evacuating passengers during emergency conditions on MV. Dobonsolo. This research employs a quantitative method to compare two variables using descriptive comparative analysis techniques. The sample consists of 83 crew members from the MV. Dobonsolo. Data processing and hypothesis testing were conducted using SPSS version 26. The research results indicate that the Marine Evacuation System (MES) achieved an average effectiveness score of 4.37, while lifeboats achieved 3.89. Based on the hypothesis test results, there was a significant difference between the effectiveness of the Marine Evacuation System (MES) and lifeboats, with a two-tailed significance value of p < 0.001; therefore, Ha was accepted. The Wilcoxon signed-rank test showed that MES received higher effectiveness ratings than lifeboats, as indicated by the higher mean rank of 38.71 compared to 15.50. Therefore, it can be concluded that the MES is more effective to use than lifeboats.
Adversity Quotient of the Probationary Faculty Members in Philippine State Universities (Region III) Stefhan Angelo A Payad; Christian L Banal; Jennifer Victoria N Genato; Vladimir B Villejo; May D Borja; Mark Jay P Asutilla
Applied Quantitative Analysis Vol. 6 No. 1 (2026): January - June Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4413

Abstract

This research investigated Paul Stoltz’s Adversity Quotient (AQ) among probationary faculty members across selected state universities in the Philippines. The study aimed to assess their AQ profile across the CORE dimensions of Control, Ownership, Reach, and Endurance and to determine the relationship between selected demographic variables and AQ. Using a descriptive-correlational research design, data were collected from 100 respondents selected using Yamane’s formula through employing the Adversity Quotient Profile (AQP). Pearson’s product-moment correlation, point-biserial correlation, and Spearman’s rank-order correlation were used according to the measurement level of the variables. Results indicated that the average respondent was 28 years old, predominantly male, held a bachelor’s degree, and had three years of service. Participants generally exhibited moderate levels of control, ownership, and endurance but scored below average in reach, resulting in an overall average AQ. Correlational analyses indicated that none of the selected demographic variables, namely age, sex, length of service, and educational attainment, were significantly associated with the Adversity Quotient (AQ) of probationary faculty members. The findings suggest that probationary faculty members generally demonstrated an average level of Adversity Quotient, indicating a moderate capacity to cope with workplace challenges. Although no significant relationships were found between the selected demographic variables and AQ, the study highlights the value of fostering resilience and adaptive coping through faculty development initiatives. These findings offer practical insights for higher education institutions in designing mentoring, wellness, and professional development programs that support faculty well-being and sustained professional engagement.
A Survey-Based Multiple Regression Analysis of Recruitment, Selection, and Employee Performance at Al-Muhajirin Foundation Purwakarta Deden Miftahul Falah; Tasya Aspiranti; Handri Handri
Applied Quantitative Analysis Vol. 6 No. 2 (2026): July - Descember Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4403

Abstract

Human resource quality is a critical issue for education organizations because teaching, administration, and institutional service quality depend on placing employees in roles aligned with their competencies. This survey-based quantitative study examines statistical associations among recruitment, selection, and employee performance in an Islamic education foundation in Purwakarta, Indonesia. The study used a descriptive-verificative design and multiple linear regression to examine two staffing predictors and one performance outcome. Data were collected via a structured questionnaire administered to 151 employees selected from a population of 491 using proportional stratified random sampling. Respondents were proportionally allocated across education/work-unit strata and randomly selected from the eligible employee list within each stratum. Recruitment, selection, and employee performance were measured with Likert-type indicators adapted from human resource management and performance literature. Instrument testing showed acceptable item validity and internal consistency, although the reliability values for selection and employee performance were marginal and were interpreted cautiously. Descriptive results indicate that recruitment was generally good but weakest in transparency; selection was generally good but weakest in objectivity; and employee performance was generally good but weakest in work quantity. Regression results indicate that recruitment was positively but not significantly associated with employee performance (B = 0.145; p = 0.088), whereas selection was positively and significantly associated with employee performance (B = 0.349; p < 0.001). Recruitment and selection jointly explained 29.7% of the variance in employee performance. The findings are interpreted as statistical associations rather than causal effects because the design was cross-sectional and self-reported.
Digital Payment Intention among Clean Agricultural Product Household Businesses in Vietnam’s Mekong Delta Quang Nguyen Phuong; Nennie Trianna Binti Rosli; Aravindan Logeiswaran
Applied Quantitative Analysis Vol. 6 No. 2 (2026): July - Descember Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.4591

Abstract

Digital transformation has accelerated the adoption of digital payment systems across commercial sectors, including transactions involving clean agricultural products. However, the factors associated with the intention of household businesses to adopt digital payments remain poorly understood, particularly in developing agricultural economies. This study examines the factors influencing the intention of household businesses to choose digital payments for clean agricultural product transactions in Vietnam’s Mekong Delta. Quantitative research design was employed using survey data from 290 household businesses, and the proposed model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that trust is the strongest positive predictor of digital payment intention, followed by perceived usefulness and customer demand. In contrast, social influence has a statistically significant negative relationship with digital payment intention, contrary to the hypothesized positive direction. These findings indicate that confidence in payment systems, perceived functional benefits, and customer-driven market pressure are important in encouraging digital payment adoption, whereas prevailing social norms may constrain adoption in the study context. This study contributes empirical evidence to the digital payment literature by distinguishing market-driven customer demand from community-based social influence in explaining household businesses’ adoption of clean agricultural product transactions. The findings also provide practical implications for strengthening trust, communicating the functional benefits of digital payments, and addressing contextual barriers to digital transformation in the agricultural sector.

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