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This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

This study aims to assess the relationships among quality dimensions in higher education (HE) and to determine the effect of each quality dimension on students' satisfaction.

A questionnaire was developed and distributed to 270 final year students of an engineering faculty in an Indonesian state university. Confirmatory factor analysis (CFA) was used to test the validity of the conceptual model and structural equation modeling (SEM) was conducted to measure the relationships that lie within the model.

The study reveals the relationships among quality dimensions in HE in the engineering faculty of this Indonesian state university. The results show that students' satisfaction was positively influenced by commitment of faculty management, the quality of course delivery, and the ease of giving feedback for quality improvement.

This study has limited scope because it was only conducted based on students' perceptions of an engineering faculty in one institution in Indonesia. However, the methods, models and instruments applied could serve as a basis for developing a measurement for evaluating quality in higher education more generally.

The instrument in this study will be useful to help policy makers in engineering HE institutions to assess the level of quality dimensions in their institution and the effectiveness of their quality program based on students' satisfaction. Furthermore, the conceptual relationships model can give deeper understanding of the quality dimensions that should be prioritized by top management. Lastly, top management should pay attention to their commitment to quality, course activities, and customer feedback and improvement.

This research promotes a methodology using SEM to assess relationships among quality dimensions in HE that can be helpful for top management when making decisions. The conceptual relationships model can also be easily reproduced to assess other engineering institutions' characteristics.