structural equation modeling
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Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.  

Extant research over the last decades has stressed how artificial intelligence (AI) can be used to boost the recruitment process and to attract the best talents. Although AI is increasingly used for talent acquisition, with 36% of hiring processes expected to have a pre-screen through AI (Oracle, 2019) in the next two years, we have limited knowledge of how AI shapes talents&rsquo; perceptions about the organisation to which they are applying to. The goal of this research is to investigate if and how the usage of AI in the recruitment process improves employer attractiveness and employer branding in the eyes of the applicants. To investigate this issue a survey has been conducted on a random sample of individuals composed of 50% females and 50% males. To examine the survey&rsquo;s result a structural equation modeling (SEM) has been applied. Results showed a positive relationship between EB and AI and more in particular that AI-enabled tools are perceived in a positive way by potential candidates. Thus, according to this study, AI is significantly related to Employer branding and therefore it contributes to improving talent attraction.

The current study aimed to examine sleep characteristics of esport players and the stipulated effects of game performance on consecutive sleep characteristics using residual dynamic structural equation modeling (RDSEM). A sample of 27 Counterstrike players with a mean age of 18½ years participated in the current study. Sleep was detected over a period of 56 days with a Somnofy sleep monitor that utilizes an impulse radio ultra-wideband puls radar and Dopler technology, and weekly game performance was reported by the players. The results showed that esport players' sleep characteristics were in the lower levels of recommended guidelines and that sleep onset started later and sleep offset ended later in the morning compared with athletes from other traditional sports. The esport players displayed stable patterns in sleep onset, sleep offset, time in bed, sleep efficiency and non-REM respiration rates per minute (NREM RPM). On the between-person level, esport players with better game performance spent more time sleeping (r = 0.55) and scored lower on NREM RPM (r = −0.44). Unstandardized within-person cross-lagged paths showed that better game performance predicted subsequent earlier sleep offset. The within-level standardized estimates of the cross-lagged paths revealed that participants with better game performance spent subsequently more time in deep sleep (0.20), less time in light sleep (−0.14), less time in bed (−0.16), and displayed lower NREM RPM (−0.21), earlier sleep offset (−0.21), and onset (−0.09). The findings of better game performance being related to better sleep are discussed in terms of existing knowledge on how stress responses elicitated by poor performance might impact on non-REM respiration rates and sleep.

This research was carried out to determine the effect of work environment, motivastion and compensation on performance through job satisfaction as an intervening variable PT BPR BKK TAMAN Perseroda, This study used porposive sampling technique where the selected sample was 50 respondents who were employees of  PT BPR BKK TAMAN Perseroda, a financial services provider company, the date were analyzed throught Structural Equation Modeling (SEM), method and SMARTPLS 3 dfe to the small number of targeted respondent from result of the study, it was found that the environment, motivation, and compensation had a significant effect on job satisfaction and employee performance, beside job satisfaction had a significant effect on performance moreover the intervening varable namely job satisfaction could partially moderate exogenous variable Keyword: work environment, work motivation, compensation, performance, job satisfaction

This research was conducted in Pontianak, involving marketing employees at PT AJMI Pontianak Branch. Respondents of this research consisted of 35 men and 84 women with an age range between 24 s.d. 62 years old, with take home pay based on commission from their sales. This research data processing uses Multivariate Statistical Method, Structural Equation Modeling (SEM), WarpPLS6 Approach. Research findings state that organizational climate is a positive and significant builder for job satisfaction and OCB, job satisfaction is also a positive and significant shaper for OCB and job satisfaction is a significant mediation between organizational climate and OCB in marketing employees of PT AJMI Pontianak Branch.

This study aims to determine (1) The influence of leadership on motivation. (2) The influence of organizational culture on motivation. (3) The influence of motivation on service quality. (4) The influence of leadership on service quality (5) The influence of organizational culture on service quality. This research uses a saturated sampling technique. The population of this research is all employees of PT. Hadeka Primantara which amounted to 91 people. The research method in this research is the quantitative research method by using the computer program Partial Least Square (PLS) and Structural Equation Modeling (SEM). This thesis uses quantitative research through survey methods, interviews, and questionnaires. The results showed significant influence on Leadership on Motivation at PT. Hadeka Primantara with the value of T Statistics 4,818 ≥ 1.96. There is a significant influence of Organizational Culture on Motivation at PT. Hadeka Primantara with the value of T Statistics 10,435 ≥ 1.96. There is no significant influence on Motivation on Service Quality at PT. Hadeka Primantara with the value of T Statistics 0.095 ≤ 1.96. There is no significant effect of Leadership on Service Quality at PT. Hadeka Primantara with the value of T Statistics 0.677 ≤ 1.96. There is a significant influence of Organization Culture on Quality of Service with the value of T Statistics 2,402 ≤ 1.96. Abstrak Penelitian ini bertujuan untuk mengetahui (1) Pengaruh kepemimpinan terhadap motivasi. (2) Pengaruh budaya organisasi terhadap motivasi. (3) Pengaruh motivasi terhadap kualitas pelayanan. (4)Pengaruh kepemimpinan terhadap kualitas pelayanan.(5) Pengaruh budaya organisasi terhadap kualitas pelayanan. Penelitian ini menggunakan teknik sampling jenuh. Populasi penelitian ini adalah seluruh karyawan PT. Hadeka Primantara yang berjumlah 91 orang. Metode penelitian dalam penelitian ini adalah metode penelitian kuantitatif dengan menggunakan program komputer Partial Least Square (PLS) dan Structural Equation Modeling (SEM). Tesis ini menggunakan penelitian kuantitatif melalui metode survey, wawancara dan kuesioner.Hasil penelitian menunjukkan pengaruh yang signifikan Kepemimpinan terhadap Motivasi pada PT. Hadeka Primantara dengan nilai T Statistics 4,818 ≥ 1.96. Terdapat pengaruh yang signifikan Budaya Organisasi terhadap Motivasi pada PT. Hadeka Primantara dengan nilai T Statistics 10,435 ≥ 1.96. Tidak terdapat pengaruh yang signifikan Motivasi terhadap Kualitas Pelayanan pada PT. Hadeka Primantara dengan nilai T Statistics 0,095 ≤ 1.96. Tidak terdapat pengaruh yang signifikan Kepemimpinan terhadap Kualitas Pelayanan pada PT. Hadeka Primantara dengan nilai T Statistics 0,677 ≤ 1.96. Terdapat pengaruh yang signifikan Budaya Organisasi terhadap Kualitas Pelayanan dengan nilai T Statistics 2,402 ≤ 1.96.