ABSTRACT
During the COVID-19 pandemic, several countries have acclimated their closest work and set diurnal Work from Home (WFH) schedules, so it is imperative for leaders to truly develop employee engagement and organizational commitment. This study aims to dissect the influence of personality on organizational commitment through employee engagement. This study uses a quantitative method with convenience sampling technique. The data were collected through the distribution of online questionnaires to 26 respondents. The data analysis technique used Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that personality has a significant impact on employee engagement, and employee engagement also has a significant impact on organizational engagement. Personality, on the other hand, does not significantly affect organizational commitment. In a perfect brokerage relationship, personality has a significant impact on organizational commitment through employee engagement The results show that personality has a significant effect on employee engagement and employee engagement also has a significant effect on organizational commitment. Meanwhile, personality has no significant effect on organizational commitment. In the relationship between the three variables in the form of full mediation, personality has a significant effect on organizational commitment through employee engagement. Based on the results of the study, indicators that provide comfort for others, enthusiastic, and feel they have a close relationship with the company get the lowest score on filling out questionnaires, so companies need to improve these indicators, for example through training. © 2022 IEEE.
ABSTRACT
The purpose of this research is to determine the role of dynamic capability on the sustainable competitive advantage of small businesses in Palembang Indonesia during the Covid-19 pandemic. This is quantitative research with primary data obtained by distributing questionnaires to 50 Small and Medium Enterprises (SMEs) in the food and beverage (F&B) and clothing industry. The obtained data was analyzed using the Path Analysis supported by Smart PLS software. Path analysis is a form of multiple regression statistical analysis used to assess causal models by analyzing the relationships between a dependent variable and two or more independent variables. In this study dynamic capability is the independent variable, entrepreneurial marketing is the mediator variable, and sustainable competitive is the dependent variable. Path analysis is also used to predict the significance and centrality of hypothesized causal associations between various sets of variables. Furthermore, the data was processed in two stages, the first is the validity and reliability used to estimate the testing stage, while the second is the structural model, which analyzes the effect or relationship between f-variables utilizing the t-test. The result showed a positive and significant effect on the use of dynamic capabilities to determine sustainable competitive advantage through entrepreneurial marketing as a mediator variable of small businesses in Palembang.