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The growth of firms is fundamentally based on selfreinforcing feedback loops, one of the most important of which involves cash flow.When profit margin is positive, sales generate cash, which may then be reinvested to finance the operating cash cycle.We analyze simulations of a sustainable growth model of a generic new venture to assess the importance of taxes, and regulatory costs in determining growth.The results suggest that new ventures are particularly vulnerable to public policy effects, since their working capital resource levels are minimal, and they have few options to raise external funds necessary to fuel their initial operating cash cycles.Clearly, this has potential consequences in terms of gaining competitive advantage from experience effects, word of mouth, scale economies, etc. The results of this work suggest that system dynamics models may provide public policy-makers a cost-effective means to meet the spirit of the U.S. Regulatory Flexibility Act

This research analyzes the cycle of the dry bulk shipping market (DBSM) as a representative of spot and period charter rates in dry bulk shipping to develop strategies for investment timing (i.e. asset play) and fleet trading (chartering strategy).

Spectral analysis is a numerical approach to extract significant cyclicality, which may be utilized to develop trading strategies. Instead of working with a single dataset (univariate), a system approach can be utilized to observe a significant shipping market cycle in its multi-variate circumstance. In this paper, a system dynamics design is employed to extract cyclicality in the DBSM in its particular industrial environment. The system dynamic design has competitive forecasting accuracy relative to univariate time series models and artificial neural networks (ANNs) in terms of forecasting outcomes.

The results show that the system dynamic design has a better forecasting performance according to three evaluation metrics, mean absolute scale error (MASE), root mean square error (RMSE) and mean absolute percentage error (MAPE).

Cyclical analysis is a significantly useful instrument for shipping asset management, particularly in market entry–exit operations. This paper investigated the cyclical nature of the dry bulk shipping business and estimated significant business cycle periodicity at around 4.5-year frequency (i.e. the Kitchin cycle).

The purpose of this study is to explore whether a group dynamics perspective still exists in the scientific study of groups and what factors may account for the current situation.

Alongside reflections based on my professional experience, I have analyzed the main academic journals that publish group research.

A group dynamics perspective is almost totally absent in the scientific study of groups. Contributing factors to this state of affairs are disciplinary developments in psychology (e.g. individualization, experimentalization and specialization), the demise of the status of psychoanalysis, changes in the meaning and manifestation of the “group,” and effects of New Public Management.

The study offers a critical perspective on current group research practices and considers these in a larger (social and historical) context. It advocates a group dynamics perspective for the study of groups, based on systems-psychodynamic insights.

This study aims to examine the effects of board dynamics produced by reaching a certain proportion of women on board tasks (monitoring, strategy and advisory).

Using a panel of 35 listed companies belonging to FTSE-MIB index, for the years 2008–2015, the hypotheses can be tested by applying random effect regressions. The introduction of gender board quota law in Italy has created a quasi-natural experiment that is applied in the study.

This research provides evidence that reaching 33% women on boards, which is the threshold mandated by the Italian gender board quota law, makes a difference for strategy tasks but not for monitoring tasks. This proportion of women on boards creates the board dynamics necessary to empower all board members, allowing the varied knowledge, skills, backgrounds and personal qualities to be leveraged and used in strategy tasks. For monitoring tasks, obtaining a proportion of 20% women on boards, as a first threshold enforced by the law, is enough to voice their opinion during board meetings and challenge management.

The results show that each set of board tasks requires different dynamics trigged by a specific proportion between a minority (women) and a dominant subgroup (men). To enhance monitoring tasks performance, it is enough to reach a proportion between men and women which makes the women less isolated and more inclined to speak up during the board meetings. In the case of strategy tasks, the improved performance is achieved when the dominant group enticed to hear women’s opinions and responsive to various perspectives. This paper expands the debates going beyond monitoring tasks, showing the importance of board dynamics for engagement in strategy and advisory tasks.

Family businesses have a dual objective of profit making and providing opportunities for family members. This duality leads to a conflict that may bring poor team work and communication, which is difficult to reconcile. Thus, the study looked into how the performance of family enterprises is affected by family dynamics. Additionally, it examines the relationship's ability to be mediated by effective leadership.

The study adopted a quantitative, explanatory research approach. The study population was family-owned enterprises in KwaZulu-Natal's South Durban Basin, of which 236 were chosen using a snowball and convenience sampling technique. Data was analysed using various descriptive and inferential statistical techniques, namely, multiple regression and the standard deviation.

The finding of the study shows that family dynamics significantly influenced business performance both directly and indirectly through effective leadership. Besides, the family firms with larger employee sizes have better effective leadership that positively contributes to the business performance.

The study recommends that family businesses should train their members to ensure leadership effectiveness.

This study is unique in that it was conducted in Black Townships and focusses mainly on businesses owned by families of Indian descent that need to prepare for leadership/ownership. It also contributes to academic literature on family dynamics and will encourage families to recognise the importance of strong leadership in controlling family dynamics to improve business success.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

This study aims to establish the shape of investment dynamics in equity crowdfunding to better understand backer behavior.

This study provides insights into when backers invest in successful funding campaigns. It uses t-tests to compare differences in means between observation windows during successful funding campaigns. It is based on 4,938 transactions from 61 campaigns, focusing on the first and last tail ends.

In contrast to previous findings, the current investment dynamics seem more U-shaped than L-shaped. This supports previous findings about a strong start but also suggests a late collective attention effect. The strength is higher at the first tail end. However, differences in the later tail ends are statistically significant and emphasize the presence of late investment activities, especially in crowded or less complex campaigns.

These findings emphasize the importance of signaling during the entire funding window. This encourages platforms to invest in user-friendly functionalities that guide entrepreneurs and help backers when investing in successful campaigns.

This study improves the understanding of backer behavior and suggests changing investment dynamics in equity crowdfunding. In addition, this pattern contrasts with previous findings on dynamic collective attention effects in rich digitally informative markets, implying two attention effects when uncertainty is high.

The paper aims to estimates the limitations of a forced distribution performance appraisal system in identifying the highest performing individuals within an organization. Traditionally, manpower modeling allows organizations to develop plans that meet future human resource requirements by modeling the flow of personnel within an organization. The aim is to quantify the limitations of a performance appraisal system in identifying the best-qualified individuals to fill future requirements.

This paper describes an exploratory study using discrete event simulation based on the assignment, evaluation and promotion history of over 2,500 officers in the US Army. The obtained data provide a basis for estimating simulation inputs that include system structure, system dynamics, human behavior and policy constraints. The simulation approach facilitates modeling officers who receive evaluations as they move throughout the system over time.

The paper provides insights into the effect of system structure and system dynamics on the evaluation outcome of employees. It suggests that decreasing the number of a rater’s subordinates has a significant effect on the accuracy of performance appraisals. However, increasing the amount of time individuals spend on each assignment has little effect on system accuracy.

This research allows an organization’s leadership to evaluate the possible consequences associated with evaluation policy prior to policy implementation.

This work advances a framework in assessing the effect of system dynamics and structure, and the extent to which they limit or enhance the accuracy of an organization’s forced distribution performance appraisal system.

This paper aims to critically investigate the past hype of internationalization of higher education institutions (HEIs) and its complex international, national and local processes under the influence of globalization.

In particular, the authors employed the knowledge–policy–power interface framework through a scoping review in order to reexamine the political dynamics among international, national and local higher education actors in driving the internationalization of HEIs in the context of South Korea between the 1990s and the 2020s. The perspective taken by this research brings much-needed nuance to the analysis by focusing on the complex dynamics of external factors and key actors and their responses in the process of internationalization.

This research found three characteristic dynamics of internationalization of Korean HEIs: uncritical acceptance of external pressures for internationalization; unbalanced formal and informal participation at the national level and different ways HEIs absorb change. In short, this research discussed how the powerful government, which has been stirred by external forces, shaped the limited knowledge discourse on internationalization while triggering power games among various HEIs. The research highlights that the characteristics of HEIs and the voices of all stakeholders should be better accounted for so that internationalization can proceed in diverse ways from the ground up to enhance and assure educational quality.

The research limits itself by analyzing the political dynamics in driving the internationalization of HEIs in the context of South Korea only through scoping review. However, the attempt to disentangle the underlying political dynamics through its original framework is worthy unlike previous more traditional models that cast policy-making as a uniform cycle proceeding rationally through the policy process regardless of the issue.

These findings enable a better analysis of the key dynamics of how HEI internationalization policies in Korea were understood, planned and implemented. Without examining the political dynamics among various factors as well as the responses of significant actors to HEI internationalization, the current challenges and remaining tasks in translating higher education policy into practice cannot be thoroughly assessed.

Most importantly, the multilayered political dynamics that come together to shape the content and directions of policies in a certain national context should be taken into account in the process of policy-making. Such recontextualization would provide a better understanding of the underlying dynamics that lead to certain consequences of and challenges in translating higher education policy into practice, especially for those who face the challenge of balancing between state-driven policies and ever-diversifying needs and demands of HEIs.

As there is a lack of understanding of the critical context of the knowledge–policy–power interface despite the significant influence of political dynamics in the process of internationalization, this research reexamined the internationalization of HEIs in Korea by providing a better understanding of the political dynamics between knowledge and power that influence the directions and contents of policy dialogues and documents.