PurposeThis paper aims to explore employee perceptions of companies engaged in services and banking of the role of change leadership on the application of artificial intelligence (AI) that will impact the performance and work engagement in conditions that are experiencing rapid changes.Design/methodology/approachThis study has used a quantitative research approach, and data analysis uses an approach structural equation modeling (SEM) supported by program computer software AMOS 22.0. A total of 357 respondents were involved in this study, but only 254 were qualified. In this study, the respondent is an employee of companies engaged in the services and banking sector in the East Java, Indonesia region.FindingsThe results reveal that AI has a significant positive effect on employee performance and work engagement. Change leadership positively moderates the influence of AI on employee performance and work engagement.Originality/valueThe development of this model has a novelty by including the moderating variable of the role of change leadership because, in conditions that are experiencing rapid changes, the role of leaders is essential. After all, leaders are decision-makers in the organization. The development of this concept focuses on studies of companies engaged in services and banking. Employee performance is an essential determinant in the organization because it will improve organizational performance. In addition, the application of AI in organizations will experience turmoil, so that the critical role of leaders is needed to achieve success with employee work engagement.

Female workers do not always get the same rights as their male colleagues. Many women are forced to dispel their desires to become structural career women because they are unable to compete with men. Therefore, it is necessary to have clear performance measurements to prove that female teachers also have good performance. The research was conducted using explanatory research with a quantitative approach. The test was conducted by SEM analysis techniques using AMOS. The study found a significant influence between Emotional Intelligence on Job Satisfaction as well as Job Satisfaction on Commitment. In the next test it was found that Job Performance was only influenced by family conflict in a negative direction, while Commitment and Job Satisfaction had no effect on Job Performance.

PT. Pesona Arnos Beton is one of the organizations engaged in concrete processing, which was founded in 2016. This research aims to examine the perceived organizational support, self-efficacy, and work environment on employee engagement of employees of PT. Pesona Arnos Beton. This study is a causality study with a quantitative approach. The sampling method used was a saturated sampling method with 80 respondents. The statistical analytical used in this study was Multiple Linear Regression analytical with the help of SPSS for Windows software. The output of this research explains that perceived organizational support has a significant and positive impact on employee engagement. Self-efficacy has a significant and positive impact on employee engagement. The work environment has a significant and positive impact on employee engagement. Perceived organizational support, self-efficacy, and work environment together have a significant impact on employee engagement. Research implication that can be applied to companies is that companies need to give awards to employees who perform well. The company can provide education, training and development regularly to employees. Leaders need to impose sanctions on employees who do not wear Personal Protective Equipment. Companies also need to provide clinics or health vehicles such as ambulances to anticipate more fatal emergency events. Companies can hire motivator services to provide material and guidance to be more enthusiastic, proud, and engaged with the company.

This study aims to determine the effect of entrepreneurship education on entrepreneurial intention through planned behavioural control, subjective norm, and entrepreneurial attitude. The previous studies related to applying the theory of planned behaviour focused on identifying the factors that determine entrepreneurship behaviour. This study is more concerned with identifying factors affecting entrepreneurial intention, attitude, and behaviour of university students majoring in business and non-business enrolled entrepreneurship courses. The research methodology uses quantitative research with a purposive sampling method that selects 450 samples based on specific criteria. The data analysis uses the SmartPLS for analysing discriminant validity and AMOS for testing the conceptual model. Entrepreneurship education in business students and non-business (education) students influences student's entrepreneurial attitudes and behaviour. The entrepreneurial intention, perceived behaviour, and entrepreneurship attitude in business students are higher than those of non-business students.