Exogenous Latent Variables Research Articles

Predictors of organizational citizenship behavior among government personnel: A structural equation modeling approach

The study aimed to develop a causal paradigm of organizational citizenship behavior among government personnel in the SOCCSKSARGEN Region. 400 employees were selected through stratified balanced sampling. Data were collected using survey questionnaires and analyzed through the mean, Pearson r, multiple regression, and structural equation modeling. The study determined that quality of work life, employee silence, and political skill statistically correlate with organizational citizenship behavior. The study inferred the predictive capacity of the exogenous latent variables in influencing the organizational citizenship behavior of LGU employees. There were five generated models of organizational citizenship behavior, and model five was determined as the best-fit structural model. The model retained five quality indicators of work life, namely compensation and rewards, training and development, relationships and cooperation, organizational culture and climate, and work environment. Prosocial silence and acquiescent silence remained as indicators of employee silence. Political skill was narrowed to three indicators, comprising social astuteness, interpersonal influence, and networking ability. Finally, altruism and civic virtue emerged as the strongest indicators of organizational citizenship behavior.

Pengaruh Motivasi dan Lingkungan Kerja Terhadap Kinerja Karyawan Kompartemen Sekretariat Perusahaan & Tata Kelola PT Pusri Palembang dengan Disiplin Kerja Sebagai Variabel Intervening

The study aims to determine the Influence of Motivation and Work Environment on Employee Performance in the Corporate Secretariat Compartment & Governance of PT Pusri Palembang with Work Discipline as an Intervening Variable. The population of this study was 42 people. Data analysis used in this study is the Structural Equation Model (SEM) analysis method operated through the Partial Least Square (PLS) program. The results of the study indicate that there is an Influence of Motivation and Work Environment on Employee Performance in the Corporate Secretariat & Governance Compartment of PT Pusri Palembang with Work Discipline as an Intervening Variable with the equation Y = 0.419x1 + 0.407x2 + ε1 and the equation Z = 0.244x1 + 0.142x2 + 0.665Y + ε2 there is an influence of Motivation on Work Discipline indicated by the equation of the t-statistic value of 2.545> 1.960 and p-values ​​of 0.011 <0.05, the Work Environment has a significant effect on Work Discipline indicated by the t-statistic value of 2.492> 1.960 and p-values ​​of 0.013 <0.05, Motivation has an effect on Employee Performance indicated by the t-statistic value of 2.534> 1.960 and p-values ​​of 0.012 <0.05, Work Environment affects Employee Performance indicated by t-statistics of 2,289> 1,960 and p-values ​​of 0.022 <0.05, Work Discipline affects Employee Performance with t-statistics of 7,584> 1,960 and p-values ​​of 0.000 <0.05. The R2 value for the latent variable Work Discipline of Work Discipline as a mediating variable is 0.541, which means that the value identifies that variations in employee Work Discipline can be explained by exogenous latent variables (Motivation and Work Environment) of 54.1% while the remaining 45.9% is explained by other variables. The R2 value for the latent variable Employee Performance is 89.7% while the remaining 10.3% is explained by variables not included in the study. The larger the R-square number indicates that the greater the independent variable can explain the dependent variable, so the better the structural equation.

Investigating the factors affecting electric scooter usage behavior with a proposed structural model

Electric scooters are getting more and more popular due to their convenience, their environmental and economic benefits especially for young people. In this study, the factors affecting the use of e-scooters in Turkey were investigated with Partial Least Structural Equation Modelling (PLS-SEM) based on the Extended Technology Acceptance Model (TAM). In the study, the explanatory power of the model was tried to be increased by adding social environment effect, perceived pleasure and economic benefit variables to TAM. In the model, it is assumed that social influence and pleasure variables, which are defined as exogenous latent variables, will affect perceived usefulness and perceived ease of use, and these two endogenous mediating latent variables will affect attitude and intention towards e-scooter use. In the study, the moderating role of the Covid19 effect on the use of electric scooter and also the importance-performance map analysis (IPMA) was carried out. The survey application was delivered to the participants in Turkey through an online survey via social media and analyses were carried out based on the responses of 346 participants. According to the result of the analysis, it was found out that the explanatory power of the model was high and compatible. It was realized that the economic benefits related to the use of electric scooter increased the behavior of using electric scooter.

Associations of vegetable and fruit intake, physical activity, and school bullying with depressive symptoms in secondary school students: the mediating role of internet addiction

BackgroundFew studies have simultaneously focused on the associations of vegetable and fruit intake, physical activity, school bullying, and Internet addiction (IA) with depressive symptoms. This study aimed to explore the direct and indirect effects of the above factors on depressive symptoms in adolescents by constructing a structural equation model (SEM).MethodsThis study was conducted in Qingdao from September to November 2021. A total of 6195 secondary school students aged 10–19 years were included in the analysis. Information on all variables was assessed using a self-administered questionnaire. An SEM was constructed with depressive symptoms as the endogenous latent variable, IA as the mediating variable, and vegetable and fruit intake, physical activity, and school bullying as the exogenous latent variables. The standardized path coefficients (β) were the direct effects between the latent variables, and the indirect effects were obtained by the product of direct effects between relevant latent variables.ResultsThe median value with the interquartile range of depressive symptom scores was 7 (3,12). Vegetable and fruit intake (β=-0.100, P<0.001) and physical activity (β=-0.140, P<0.001) were directly negatively related to depressive symptoms. While school bullying (β=0.138, P<0.001) and IA (β=0.452, P<0.001) were directly positively related to depressive symptoms. IA had the greatest impact on depressive symptoms. Vegetable and fruit intake, physical activity, and school bullying could not only directly affect depressive symptoms, but also indirectly affect depressive symptoms through the mediating effect of IA, the indirect effects and 95% confidence intervals (CIs) were -0.028 (-0.051, -0.007), -0.114 (-0.148, -0.089) and 0.095 (0.060, 0.157), respectively. The results of the multi-group analysis showed that the SEM we constructed still fit in boy and girl groups.ConclusionsThe results indicated that vegetable and fruit intake, physical activity, school bullying, and IA had a significant direct impact on depressive symptoms, among which IA had the greatest impact. In addition, both vegetable and fruit intake, school bullying, and physical activity indirectly affected depressive symptoms through the mediating effect of IA. The impact of IA on depressive symptoms should be given extra attention by schools and parents. This study provides a scientific and effective basis for the prevention and control of adolescent depressive symptoms.

Analyzing Consumer Preferences in Selecting Halal Tourism Destination

Purpose: This paper examines consumer behavior, specifically the Indonesian society's preference for making halal tourism in the Riau region a tourism destination.Design/Method/Approach: The methodology applied in this research is quantitative with the SEM-PLS approach. Sampling was done using purposive sampling method. The number of respondents involved was 256 people with an age range of 16 to 55 years old. This study adopts variables based on the Theory of Planned Behavior, which identifies three exogenous latent variables (ɛ), namely Attitude, Subjective Norm, and Perceived Behavioral Control. Meanwhile, the endogenous latent variable (η) in this research is the Preference for Halal Tourism.Findings: The results of this study revealed that the perceived behavioral control variable has the largest, positive, and significant influence.Originality/Values: The implications of this research can assist in the development of the halal tourism industry in Indonesia, particularly in the Riau region. Industry players and stakeholders can take steps and policies to enhance aspects such as subjective norms and perceived behavioral control to meet tourists' preferences. Academics can also contribute to advancing digital literacy, research, and innovation in the halal industry, thereby making a significant contribution to the dynamic and innovative digital ecosystem within the halal value chain.

Decision-Making Mechanism of Farmers in Land Transfer Processes Based on Sustainable Livelihood Analysis Framework: A Study in Rural China

The act of land transfer in rural areas is an important decision-making mechanism for farmers, to enhance resource allocation efficiency and promote capital mobility, and this act is of strategic importance in promoting the level of agricultural scale and mechanization, land system change, and, thus, the sustainable development of livelihoods and production in China. This study aims to explore farmers’ decision-making mechanisms in the process of land transfer in rural areas, by constructing a theoretical framework. Structural equation modeling was used, based on data from a survey of rural families in the Liaoning Province area of Northeastern China. The main findings are as follows: (1) The seven types of exogenous latent variables, including environmental vulnerability, policy, and five main livelihood assets (natural capital, physical capital, financial capital, human capital, and social capital), are intermediary in farmers’ land transfer behavior, which then positively affect farmers’ livelihood outcomes. (2) Among the exogenous latent variables affecting farmers’ land transfer, human assets have the most significant positive effect, followed by social assets and physical assets, family labor force share, frequency of work information exchange, and number of production tools, greatly affect the corresponding variable. (3) Natural assets play the most important role and have a negative effect on farmers’ land transfer decision; contracted area of land per family is the greatest impacted measurable variable of this. The results of the study suggest that the government should strengthen skills training for farmers, improve the land transfer policy system, and provide appropriate subsidies in a regionally targeted manner. Thus, it can promote the transformation of Chinese-style agricultural modernization and achieve rural revitalization.

Application of Structural Equations Modeling Partial Least Square at the Comparation of the Niveau of Responsibility From Cs and Digics

Banking is an institution that plays a role in increasing economic development and also increasing equitable development. People who are serving users will be more selective in choosing banks so that many banks strive to be superior and more satisfying than other banks. Customer satisfaction can be seen from the role of CS and DigiCS. Customer Service ( CS ) is all actions intended to meet needs and activities by providing services so that each customer's needs are met. Digital Customer Service (DigiCS) is BNI digital banking automation that provides customers with immediate experience when carrying out digital transactions at BNI . The aim of this research is to determine the factors that influence the level of CS and DigiCS customer satisfaction with several variables, namely product quality ( ), service quality ( ), time ( ), convenience/efficiency ( ), and customer satisfaction (Y). The method used in this research is structural equation modeling partial least squares with the help of Microsoft Excel and SmartPLS software with the application of SEM - PLS to analyze the relationship between endogenous latent variables and exogenous latent variables. The results of this research are that for CS customer satisfaction it is found that only the exogenous variable product quality ( ) with its influences indicators customer satisfaction (Y) while for DigiCS customer satisfaction the results are that only the exogenous variable product quality ( ) and the exogenous variable convenience/efficiency ( ) with indicators that influence customer satisfaction (Y).

Public Perception of the Effectiveness of Vaccination against the Level of Anxiety Exposed to Covid-19

This research aims to find out how people's perceptions about effectiveness of vaccination on the level of anxiety exposed to Covid-19 which is influenced by knowledge. The sampling technique used accidental sampling. Nine districts and cities in Bali were included in the samples and 190 respondents in all. Questionnaires as research instruments and primary data are the types of data used. The Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis approach was used in this study. The variables in this research consist of exogenous latent variables (knowledge), mediating latent variables (effectiveness), and endogenous latent variables (anxiety). By considering the results of hypothesis testing carried out through the bootstrapping process, the study revealed that better knowledge about Covid-19 can increase the effectiveness of vaccination by 78.9%, better knowledge about Covid-19 can reduce anxiety levels by 23.2%, increased vaccination effectiveness results in a decrease in anxiety levels by 29.4%, and better knowledge about Covid-19 can indirectly reduce anxiety levels through vaccination effectiveness by 59.3%. As a result, H0 gets dismissed in the hypothesis test, which indicates that knowledge significantly affects anxiety, both directly and indirectly through the mediation of vaccination effectiveness.

Exploring Generative AI Tools Frequency: Impacts on Attitude, Satisfaction, and Competency in Achieving Higher Education Learning Goals

The urgency of using AI in the educational environment as a medium for optimizing student learning personalization in synchronous and asynchronous learning needs to be done to ensure that students experience improved attitudes, motivation, and learning satisfaction, which is reflected in student competencies. This study aimed to investigate the impact of ChatGPT use frequency on students' attitudes, satisfaction levels, and competence in higher education learning goals. The type of research employed was non-experimental quantitative research, specifically ex-post facto research. The sample size was 257 people, which was determined using the criteria of Issac and Michael (1971) and sampling distribution with a proportional random sampling technique. Data collection techniques that utilize questionnaires are effective in obtaining quantitative data. The PLS SEM analysis was used to determine the effect of exogenous latent variables on endogenous latent variables. The study revealed that reliability and satisfaction with ChatGPT positively impact learning outcomes, while the perceived impact on competence does not significantly enhance learning objectives. Increased usage frequency moderates these effects, diminishing the positive influence of perceptions, reliability, and satisfaction and shifting the impact on competence to negative and insignificant. These findings highlight the complexity of integrating ChatGPT into education, suggesting that initial positive perceptions may not be sustained with frequent use.

IMPROVING THE WORK PERFORMANCE OF AGRICULTURAL EXTENSION WORKERS THROUGH INCREASING CAPACITY, WILLINGNESS, AND OPPORTUNITY

The implementation of development is inseparable from the agricultural sector, which is closely related to extension activities. The performance of extension workers plays a role in determining the success of extension activities. Performance measurement is needed so the organization can make the right decisions for further development. This research aims to determine the factors that affect the performance of agricultural extension workers in Kubu Raya Regency using the Work Performance Theory. Primary data were collected through questionnaires and interviews of respondents with survey methods to identify and analyze the performance of agricultural extension workers using PLS-SEM. The determination of respondents used the census method with the subject of research of 62 agricultural extension workers in Kubu Raya Regency as the second largest rice production center in West Kalimantan. The analysis showed that the exogenous latent variables positively and significantly influence work performance. The research found factors that affect the performance of agricultural extension workers in Kubu Raya Regency include: work experience, knowledge, age, motivation, task characteristics, attitude towards work, perception of the role of extension workers, actions of coworkers, the need for information, compensation, working conditions, organizational policies and time. The efforts can be made to improve performance, such as Training of Trainers, basic and technical training, placing extension workers on their competencies, giving rewards, utilizing of Cyber Extension websites, and strengthening the role and function of BPP.

Can Positive Emotions Predict Consumer Satisfaction in Adverse Services?

Background Managing emotions during hospital visits is important to enhance patient satisfaction. The purpose of this paper is to explore the relationship between patients’ happiness and satisfaction through patients’ mood and perceived service quality at a healthcare setup. Methods This study was conducted in a tertiary care hospital located in coastal Karnataka during the period from November to December 2021. Primary data was collected through a structured questionnaire from 227 respondents. “Statistical Package for the Social Sciences (SPSS) 27.0” and “SmartPLS 3.0” software was used for data analysis. Results Hypotheses proposed in this study were examined by comparing the direct effect of patients’ happiness level on perceived service quality and the indirect effect of the level of patients’ happiness on patient satisfaction. The influence of all the exogenous latent variables namely, happiness, mood, perceived service quality, on the endogenous latent variable of patient satisfaction is estimated to be moderate (R2=62.5%). Conclusion This study empowers hospital managers to recognize how patient satisfaction is dependent on patients’ happiness. In order to enhance patient satisfaction, the quality of care provided by health services, human resources, and infrastructure must be improved. As a result, the entire service encounter can be made enjoyable to the customers by reducing the distress caused by adverse services. Managers can utilize the outcomes of the study to develop marketing strategies to influence patients’ emotions in the healthcare setup by modifying the servicescape elements.

Positive Personality Traits, Organizational Commitment and Work Environment: A Structural Equation Model on Core Job Characteristics of Public School Teachers

This study aimed to determine the best-fit model of core job characteristic as influenced by positive personality traits, organizational commitment, and work environment of public school teachers in Davao Region, Philippines. Descriptive correlational, quantitative non-experimental research design and Structural Equation Model were used in this research. Standardized questionnaire was used to conduct the study among 400 respondents in the public schools of the region. The said respondents were identified using stratified random sampling. The statistical tools used for data analysis were mean, pearson product-moment correlation, multiple regression analysis and structural equation modeling. The results showed a very high level of positive personality traits. While organizational commitment, work environment and core job characteristic received a high mean value. All latent exogenous variables have significant relationship with the endogenous variable core job characteristic. In addition, all exogenous variables significantly influence the core job characteristic. The core job characteristic of teachers is influenced by variables, positive personality traits, organizational commitment and work environment. Furthermore, the best-fit model is 5 which passed the criteria of indices since it apparently displayed all of its three indicators that remained viable to core job characteristic namely: skill’s variety, task identity, task significance, autonomy, and feedback. However, the model displayed only two out of its five indicators that remained viable on core job characteristic, namely, skill’s variety and task identity.

THE INFLUENCE OF DIGITAL FINANCIAL LITERACY, PERCEPTION OF BENEFITS, AND INTEREST ON STUDENTS’ HABIT IN CARRYING OUT DIGITAL PAYMENT TRANSACTIONS

This study aims to examine the influence of three exogenous latent variables, namely digital financial literacy, perception of benefits, and interest in one endogenous latent variable, namely student habits in conducting digital payment transactions. the purpose of this study is to determine the influence of digital financial literacy, perceived benefits, and interest in student habits in conducting digital payment transactions with the following hypotheses: H1: Digital financial literacy has a positive effect on students' habits in conducting digital payment transactions.H2: The perception of benefits has a positive effect on students' habits in conducting digital payment transactions. H3: Interest has a positive effect on students' habits in making digital payment transactions.The sample of this study was students of the faculty of economics and business, Mulawarman University with a total of 154 respondents. Data was collected through questionnaires with simple random sampling techniques. The research data were analyzed using SmartPLS 4. The results of this study showed that the perception of benefits and interests had a significant positive effect on student habits, namely P value of 0.000 and 0.044, respectively. Meanwhile, digital financial literacy has a positive insignificant effect on student habits, namely the p value of 0.121.

Analysis of Information Security Culture at FMIPA Halu Oleo University Using Partial Least Squares-Structural Equation Modeling Method

This research aims to analyze the information security culture at FMIPA Halu Oleo University. The results of the analysis show that exogenous latent variables, such as information security awareness, the role of faculty leaders, and information security policies, have a significant positive impact on information security culture. The research results show that the security awareness variable has a positive effect (0.221) on the Information Security Culture variable. Apart from that, the top management variable also has a positive effect (0.185) on the Information Security Culture variable. Likewise, the security policy variable has a significant positive influence (0.233) on the Information Security Culture variable. These findings provide an in-depth understanding of the factors that influence the culture of information security in the FMIPA Halu Oleo University environment, which can be the basis for recommending improvements in increasing information system security at the faculty.

Online fundraising for NPOs via email marketing – A critical success factors analysis in Germany, Austria, and Switzerland

This study aims to empirically determine success factors in the email marketing as a sub-discipline of online fundraising of nonprofit organizations (NPOs). Hereby, it responds to the gap of knowledge as existing research has not in detail touched nonprofit email marketing. To explore success factors in NPOs’ email marketing, a detailed structural equation model, in which email marketing success acts as the final endogenous variable and the nine potential success factors function as formative latent exogenous variables, was developed. A quantitative survey was conducted with employees of NPOs from German-speaking countries. For data analysis, which was carried out with the software SmartPLS, 153 responses were utilized. Using aggregate and disaggregate analyses on the developed model, various critical success factors in NPOs’ email marketing could be empirically identified. Furthermore, an importance-performance map analysis allowed the identification of the most crucial measures for increasing success, as a low performance of the NPOs faces a high total effect on email marketing success. From the results of the importance-performance map analysis, it was possible to derive specific practice-relevant action recommendations regarding measures in which NPOs should prioritize an increase in performance. Therefore, in addition to its theoretical relevance, the study also has a strong practical value.

Disaster Preparedness Using Local Wisdom Approach in Palu City

Palu City is one of the city centers in the world which is located on a fault line that is prone to earthquakes and tsunamis. The latest earthquake and tsunami occurred on September 28, 2018 with a magnitude of Mw 7.4, which was centered on the ground and caused a large tsunami in Palu City. The earthquake and tsunami claimed 4,194 lives and damaged 55,102 buildings while missing, heavily, and lightly damaged. To reduce the impact of disasters, it is necessary to make efforts to increase awareness based on local wisdom so that it can be easily implemented in the community of Palu City. Local wisdom was explored by the people of Palu City and saw its effect on the level of alertness to disasters caused by the earthquake and tsunami. Local wisdom ombo is obtained from the people of Palu City, which contains a prohibition on building close to clean water sources. Data collection was carried out by conducting interviews with 121 affected communities regarding their knowledge, attitudes, and environmental conditions related to the level of vigilance. For environmental variables, local activity was a parameter included in the survey. The results of the analysis showed that the level of knowledge about the earthquake and tsunami as well as attitudes based on local wisdom increased the level of vigilance in disaster risk reduction efforts in Palu City. The results of the analysis showed that the implementation of attitudes based on local wisdom can affect the level of alertness with a value of 0.87, which means that the application of local wisdom can increase preparedness for earthquake and tsunami disaster. Indigenous latent variables (knowledge, attitudes, and environmental conditions) had a strong effect on exogenous latent variables (earthquake and tsunami preparedness) with an R2 value of 0.741.

Understanding Consumers’ Intention to Purchase GI Cheeses Based on the SEM-Logit Model

Abstract This study aimed to investigate determinants of purchase cheeses with GIs in developing country and to analyze to what extent these factors affected individuals’ purchasing intention, because there is a growing interest in geographical indications of origin (GIs) as a tool for product differentiation. An extension of the theory of planned behavior (TPB) is used as the framework of the study. To get a deeper insight into the influence of unobserved exogenous latent variables on consumers’ intentions to purchase GI cheeses, SEM and Logit models were combined and the SEM-Logit integration model was constructed. The study supports extended model of TPB, which includes trust and loyalty, as a useful framework to understand the consumers’ intentions to buy the investigated product category. The results from SEM-Logit show that attitude, subjective norms, perceived behavioral control, trust, loyalty, education and monthly income have significant impacts on intention to purchase cheeses with GIs. The findings of this research provide important contribution for understanding GI cheeses’ consumption intention and behavior.

Private hospital model in Rayong Province that satisfied consumer needs

This research objectives are to examine the private hospital model in Rayong Province which relations among hospital policy, hospital performance, overall total quality, and hospital personnel’s public mind directly and indirectly influence customer requirements. This study used a hybrid methodology that combined quantitative and qualitative research. A questionnaire was used as the research instrument for the quantitative research investigation. A simple random selection method was used to select four hundred participants from inhabitants in Rayong, Thailand. The model confirmation was examined by the Structural Equation Model (SEM). The results illustrated those exogenous latent variables of hospital policy, hospital performance, and total quality positively have a direct effect on hospital personnel’s public mind and are additionally positive towards customer requirements. The prediction for customer requirements can be made from hospital policy, hospital performance, total quality and hospital personnel’s public mind with a variance of ninety-seven percent. Throughout the qualitative research of in-depth interviews with tri-angular analysis, the conclusion can be made with the fact that hospitals satisfy consumer needs and increase customers with firstly public relations communication presenting the outstanding features in medical treatment of particular hospital, secondly proactive operations with well-defined customer segmentation such as factories and business companies within the area of Rayong Province, thirdly good services that leads to word of mouth, fourthly reasonable pricing, fifthly maintaining medical standards, sixthly providing services conforming to reasonable prices, and lastly emphasizing the care and be active to the satisfaction of consumer needs.

Implications of Teacher Competency and Learning Models on Student Motivation and Discipline Based on SMART-PLS

Learning is a cognitive process that enables students to engage in critical thinking, interact with information, and subsequently apply their knowledge to solve issues. The dynamic classroom approach enhances students' active learning, fosters student motivation, and promotes collaborative interactions among students, reducing conflicts and fostering discipline in both the classroom and the school. This study examines the Moving class model, teacher pedagogic competence, motivation, and learning discipline using the SmartPLS application-based Structural Equation Model (SEM). The location in this study was a state senior high school in Ambon, with samples obtained by simple random sampling of 41 students for the experimental class and 40 for the control class. The results obtained were that the validity and reliability tests on the outer model showed a value of Standardized Loading Factors (SLF) 0.7, Construct Reliability (CR) 0.5, and Average Variance Extracted (AVE) 0.5, so it was said to be valid and reliable. In contrast, in the Inner model, the dependent variable simultaneously influences learning motivation (Y) with an R Square value of 0.672 and learning discipline (Z) of 0.506, so the model is categorized as moderate. The Goodness of Fit (GoF) index shows Q square 0 and RMSE 0.05 and has predictive relevance indicating relevant exogenous latent variables. The significance test for proving the hypothesis showed that all variables had a positive and significant effect with a t-statistic 1.96 and a p-value 0.05. Limitations in this study include the arrangement of students, fluency in learning, and utilization of learning resources. As a continuation of this research, other research variables can be studied regarding personality, professionalism, and social competence and their influence on learning outcomes, self-efficacy, etcetera.

Human Resource Management Practices, Knowledge Sharing, and Emotional Intelligence of Unit Heads: A Causal Model on Organizational Resilience in Government Agencies in Davao Region

Purpose: Organizational resilience is a prime concern among organizations, to respond and recover from challenging events. If organizations lack resilience, they may not be able to serve the public. Essentially, this study aimed to review empirical evidence on how organizational resilience is affected by variables in the context of accredited government agencies under the Program to Institutionalize Meritocracy and Excellence in Human Resource Management (PRIME-HRM) of the Civil Service Commission in Davao Region.&#x0D; Methodology: Two hundred government employees participated in the survey, selected through stratified sampling. The survey questionnaire used was validated and approved by experts. Data were collected through manual accomplishment by some respondents, while the rest was accomplished through google form. This study utilized a quantitative research design and employed the descriptive-causal method. The data analysis applied were mean, Pearson r, multiple regression, and the structural equation model. It was done using the IBM SPSS.&#x0D; Findings: Results revealed that the unit heads have very high levels of human resource management practices, knowledge sharing, emotional intelligence, and organizational resilience. A significant relationship exists between the exogenous latent variables and the endogenous latent variable. When regressed, only human resource management practices (HRMP) and emotional intelligence, including its manifest variables, revealed to be the best predictors of organizational resilience. The structural equation modeling showed that model 5 is best fit for organizational resilience in the context of government agencies. It was found in the model that human resource management practices, knowledge sharing, and emotional intelligence have a positive impact on organizational resilience. Indeed, the findings of this study have implications for human resource management in public and even private organizations.&#x0D; Recommendations: The CSC as a learning institution may introduce learning sessions on organizational resilience for leaders which may give them more exposure to resilience strategies. There is a need to continuously and seriously implement PRIME-HRM to strengthen organizational resilience. There is also a need to evaluate to identify potential threats and challenges that may affect the organization by conducting organizational resilience survey.