This study aims to develop and test a holistic model that depicts and examines the relationships among job autonomy, its drivers, as well as autonomous motivation and influence employee engagement. This research is among the first works to deal with such a complex framework that considers the interrelationships among numerous constructs and their effects on employee engagement. A questionnaire was designed to measure the influence of Job autonomy and its drivers on employee engagement while taking into consideration the impact of turbulent times and organizational commitment on these relationships. Data collected from a sample of 317 respondents working in Ethiopian commercial banks were used to test the proposed relationships. The relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) using the Smart PLS 3 software and SPSS version 26. PLS is a well-established technique for estimating path coefficients in structural models and has been widely used in a number of research studies.  The proposed model proved to be fit. The findings of this study suggest that creating job autonomy and assuring autonomous motivation, may help companies gain employee engagement and enhance their performance. The adoption and implementation of such activities are driven by method, criteria, and scheduling autonomy. The successful implementation of these practices requires considering the level of turbulent environment and organizational tenure. The hypotheses were supported, and implications were discussed

Behavior change maintenance can guide the development and evaluation of interventions promoting sustained behaviors in organizational changes. This research aims to examine the factors that influence behavioral maintenance for organizational change in Ethiopian commercial banks. The study developed a comprehensive model to explain the mechanism of behavioral maintenance for organizational change by employees, using self-determination theory with two additional exogenous constructs, value congruence and excessive work demands. Applying mixed-analytical approaches, including SEM and fsQCA, advances the knowledge of how employees motivate to maintain their behavior regarding the organizational change. The target population consists of lower-level managers and 317 valid responses were retained for further analysis. In our findings, the SEM results reveal that perceived relatedness, perceived competency, perceived autonomy, and perceived enjoyment influence employees' behavioral maintenance for organizational change, the fsQCA results indicated that value congruence must always be combined in these variables. The findings suggested an alternative path that might serve as the basis for sustaining organizational change.

Research has indicated that problems related to behavioral support for organizational change must be re-addressed to provide an improved implementation of changes. It is essential to explore factors for the complex implications of organizational change before implementing it in practice. This research aims to explore predictors of behavioral support for organizational change in Ethiopian commercial banks. In-depth interviews with purposive and convenient sampling techniques were conducted with employees (n=43) because qualitative research provides opportunities to explore employee experiences and get detailed information about how they perceive behavioral support for organizational change. This study used grounded theory and thematic analysis to explain behavioral support for organizational change and to establish a theoretical basis for further investigations. Our findings indicate that traditional predictors for behavioral support for organizational change might not be enough. This study suggested three new predictors: "perceived cost," "reward," and "prior change experience" to explore behavioral support for organizational change. The study tried to clarify organizational change drivers from employees' perspectives, which offered an alternative avenue that could provide the foundation for accepting organizational change.

Behavior maintenance for organizational change is the continuous behavior performance following an initial intentional change. This research examines the importance of factors that influence behavioral maintenance for organizational change. This study proposes a research model incorporating self-determination, regular-fit, self-concept, and habit theories to identify potential influencing factors of behavioral maintenance for organizational change in Ethiopia and quantify the importance level of these factors using ML techniques. A survey study was carried out in Addis Ababa, Ethiopia, with 310 valid responses. The comparison of five different ML techniques shows that Naive Bayes (GaussianNB) outperforms the other classification model.  Naive Bayes (GaussianNB) model-based feature importance analysis shows that perceived competency, perceived enjoyment, and perceived autonomy are the most prominent contributor to behavioral maintenance for organizational change. The results confirmed that the quality of individuals' motivation affects the extent to which individuals will engage in, and persist with, behaviors.