Adaptive Management Model Research Articles

Opportunities Behind Challenges for Classroom Management at Aisyiyah Kindergarten in Kalitengah Village

Community Service Program (KKN) is an extracurricular activity that combines the Tri Dharma of Higher Education, as well as learning and community service. This course is designed to provide students with real-world experience while also enhancing their critical thinking skills. KKN focuses on community welfare. This article discusses the implementation of the 2024 KKN-T group 23 in Kalitengah Village, Tanggulangin, focusing on the educational aspect. This study examines the challenges of teaching in the Aisyiyah Kindergarten class in Kalitengah Village and explores the innovative opportunities that arise from this situation. With an unfavorable teacher-to-student ratio, this educational institution faces several challenges in providing high-quality education. Using qualitative research methods, this study examines the adaptive strategies developed by students and teachers. Data was collected through participatory observation, interviews with teachers and school principals, as well as analysis of school documents. The main idea is that the lack of human capital has driven the implementation of more collaborative and creative learning methods. Strategies such as the implementation of a peer mentoring system, integration of educational technology, and active involvement of parents in the learning process have produced unexpectedly positive outcomes. The research results indicate an increase in student independence, better development of social-emotional skills, as well as efficiency in time and resource management. This study concludes that challenges can serve as a catalyst for educational innovation, with important implications for the development of adaptive and effective classroom management models in other early childhood education institutions facing similar limitations.

Exploring an adaptive management model for “status-optimization-regulation” of mining city in transition: A case study of Huangshi, China

Mining cities face the challenges of ecological transformation and sustainable development after mineral depletion. Thus, ecological space optimization and adaptive management are pivotal after ecological restoration project, but easily neglected. Taking Huangshi in Hubei Province as an example, a top-down adaptive management model for regional mining ecological space integrating status-optimization-regulation (SOR) was established based on land system resilience (LSR) evaluation, circuit theory, complex network model and community discovery algorithm. The results showed that i) As the LSR increased, the land use structure shifted from non-ecological zones to forest and cropland, indicating that balancing agriculture and forest protection was crucial for increasing LSR in Huangshi. i) The ecological networks (ENs) of Huangshi had an irregular fishnet pattern, with densely intricate corridors in the south and broader, sparser ones in the north, and numerous ecological barriers near the mining area. Furthermore, the distribution of ecological sources and corridors displayed complementarity and hierarchy. iii) The optimized ENs exhibited higher connectivity and efficiency under disturbance, reducing corridor redundancy and migration costs. iv) The ENs clusters were classified into five types based on ecological connectivity: ecological buffer zone, priority restoration zone, moderate restoration zone, natural restoration zone, and moderate development zone, and tailored ecological regulatory strategies were proposed. The findings provide practice-oriented guidance for the sustainable development of mining cities, and offer a direct approach to support conscious, clear, and coherent adaptive management of ecological restoration in rapidly changing environments.

Sustainable Tourism Development: A Model of Adaptive Destination Management in Lampung Province, Indonesia

Sustainable Tourism Development: A Model of Adaptive Destination Management in Lampung Province, Indonesia

A Model of Adaptive Error Management Practices Addressing the Higher-Order Factors of the Dirty Dozen Error Classification—Implications for Organizational Resilience in Sociotechnical Systems

Within the dynamic, complex, and often safety-critical operations of many process industries, the integration of technology and human elements has given rise to sociotechnical systems (STSs), where the interaction between people and technology plays a pivotal role. To thrive in this complex environment, organizations must adopt adaptive error management strategies and cultivate organizational resilience. This approach involves managing the unexpected and designing systems to embrace disorder by organizational learning from errors in STSs. The main objective of this article was to present empirical data of error-causing elements in STSs based on the Dirty Dozen concept, their underlying structure, and implications for error causation screening and adaptive error management systems. A sample of 544 workers employed in seven process industries, such as automotive, chemicals, defense, metal, and timber, participated in this study. The results revealed a three-factor model of human error causation in STSs. Based on these results, an adaptive error management system (AEMS), which includes evidence-based interventions to manage causes of human errors and mitigate their risky consequences, was presented. Finally, implications for organizational resilience and safety culture in STSs were discussed.

Comparative Analysis of Climate Change Policies: Pakistan VS. Global Approaches

Purpose: The current study compares global climate change policy to Pakistan's national climate policy in order to investigate global and national priorities in the context of carbon emission, air pollution, gender and smog under the adaptive management model. Methodology: The United Nations Climate Change Policy Papers and Pakistan's most current Climate Change Policy 2021, were analyzed in this work utilizing keyword search methods for contextualization in the qualitative data analysis program NVivo 11. Findings: The findings show that Pakistan's climate change strategy is highly similar to global climate change policy in terms of carbon emissions, a little less so in terms of gender, but not in terms of air pollution. It is concerning that smog, a serious problem in Pakistan, is not on the agenda of global climate change policy. Unique Contribution of theory, practice and policy: Through adaptive management, the research identifies specific gaps where national policies diverge from global priorities. For instance, the model helps to highlight the lack of emphasis on smog in global policies, a critical issue for Pakistan, thereby suggesting areas for improvement and alignment. The study suggests that the Pakistani government should make efforts to address this issue on a worldwide scale in order to solve the problem.

Adaptive Traffic Management Model for Signalised Intersections

As population increases, one of the factors affecting life is traffic. Efficient traffic management has a direct positive impact on issues such as time, carbon dioxide emissions, and fuel consumption. Today, an important parameter under the heading of traffic is the signalling systems for intersections, which are operated with fixed-time, semi-actuated, fully actuated, and fully adaptive control methods. In this study, an adaptive traffic management model is developed for signalised intersections. The adaptive traffic management model developed includes phase extension with minimum and maximum time intervals dependent on density and phase skip features. Additionally, the most distinctive feature of the model is its flexible phase structure rather than a sequential phase. The Heybe intersection, located within the boundaries of Antalya province, is modelled one-to-one in the simulation of urban mobility (SUMO) simulation programme with real intersection data. The developed adaptive traffic management model is applied to the Heybe intersection, and the effects of the model are revealed. Improvements obtained from the SUMO simulation programme were verified through visual inspection, and high-accuracy results were determined. As a result of the studies, it was found that the application of the adaptive traffic management model developed at Heybe intersection, which has approximately 50,000 vehicles passing daily, resulted in a 27.2 % improvement in the average delay per vehicle parameter, a 32.4 % improvement in the average waiting time per vehicle parameter, and a 16.7 % improvement in the average speed per vehicle parameter.

Adaptive strategic analysis models in a volatile market: case studies of today’s organizations

Adaptive models of strategic analysis are crucial in unstable market conditions for modern organizations. These models assist organizations in identifying and responding to the changing business environment, ensuring their sustainable development and competitive market position. The use of adaptive management allows companies to make flexible and informed decisions considering the impact of digitalization on business relationships. Factors such as leadership, culture, structure, and business strategy play an essential role in supporting organizational changes and adaptation. This paper discusses the fundamentals of adaptive management, including models of strategic analysis and strategic management. It covers the theoretical foundations of adaptive management, organizational structures with an adaptive management type, adaptive analysis models, and provides examples of companies that employ various tools. Additionally, a model of adaptive organizational management is developed, enabling companies to evolve in uncertain conditions. This model includes three subsystems: diagnostic of premises, selection of the optimal option, and implementation of the strategic scenario. The article concludes that adaptive strategic management is quite relevant in the context of variability and high environmental uncertainty; however, the strategy should not remain static.

The role of digital platforms in the economic crisis management

The need for urgent mitigation of the consequences of dramatic emergency situations has been predominating in recent years. In response to unpredictable disasters organizations all over the world started to apply a number of breakthrough technologies by means of confusing response strategies. Publications lack appropriate information on the most effective methods of recovering from the economic crisis, so the decisions are chosen among new breakthrough technologies in the digital platforms systems. To complete the gap in the literature the article applies to the studying of the theory of economic crisis. The purpose of the article is to create a theoretical model based on the most effective breakthrough innovations in the digital platforms mechanisms through the lens of the analysis of the adaptive management model.

Adaptive management model of the higher education system in the context of the transition to the digital economy

Purpose: of the study is to develop an adaptive model of higher education system management in the context of digital transformation of the economy. Methods: the methods of interdisciplinary, structural and logical analysis, typologization of management models, rating and expert assessments were used in the work. The methodological basis of the research was: a three-sided model of higher education management assessment, a "management cube", including a model of new managerialism, a two-plane model of higher education system assessment, level-based, adaptive approaches to higher education management. Results: based on the analysis of the higher education management system in the context of the digital transformation of the economy, the need for the formation of new adaptive mechanisms and management models of this system as an area where human capital is formed and developed, necessary for the breakthrough development of the country. Also, the trends of digitalization in the field of higher education have been identifi ed. Recommendations for its adaptation to the digital transformation of the economy have been developed and substantiated. As a key tool of the adaptive management model, an organizational model of adaptive management of the higher education system has been developed, which makes it possible to adapt the entire education system to the challenges of digital transformation of the economy. Conclusions and Relevance: the developed organizational model will make it possible to build an eff ective work of the higher education system using adaptive management mechanisms, that allow it to optimally adapt to modern transformational processes, that occur according to cyclical crisis phenomena and the next industrial revolution. Digital transformation and the conditions of Industry 4.0, as well as the technological singularity, which is already the reality, do not allow us to strategically correctly build one specifi c model of management of the higher education system, since the above-mentioned processes become the trigger for constant transformations, including in the field of education. The organizational model of adaptive management proposed by the authors is innovative, allowing to adapt iteratively to the ongoing transformations of social and economic systems. Thus, this model is strategically relevant and promising for the both modern conditions of functioning and long-term development of the education sector.

Global transformations as the background of the emergence of threats and opportunities for management

In the contemporary landscape, global transformations serve as a pivotal backdrop shaping the dynamics of management, presenting both challenges and opportunities. This paper delves into the multifaceted impact of global changes on the realm of management, dissecting the inherent risks and advantages. It scrutinizes how organizations can leverage these transformations as catalysts for innovation and strategic evolution. Furthermore, the paper explores effective managerial approaches amidst the uncertainties and instabilities brought about by global shifts, in the example of the crewing company. Technological advancements, economic fluctuations, and sociocultural shifts are identified as key drivers influencing management strategies. The analysis emphasizes the need for organizations to perceive global transformations not merely as potential threats but as avenues for growth and development. The interconnected nature of the modern world demands a nuanced understanding of how these transformations permeate various facets of management, requiring adaptability and strategic foresight. Economic globalization is investigated as a driver that reshapes market dynamics and organizational strategies. The paper discusses the need for adaptive financial management and agile business models to thrive in a globally interconnected economy. Strategic management in the face of global uncertainties is a focal point. In conclusion, this paper serves as a comprehensive exploration of how global transformations form the foundation for both threats and opportunities in the realm of management. It provides insights into the intricacies of navigating this dynamic landscape, offering a roadmap for organizations and leaders to harness the potential for growth while effectively mitigating risks associated with the evolving global environment.

Features of managing the international strategic partnership of a manufacturing enterprise in the conditions of global changes

In the dynamic landscape of global business, this paper investigates the intricacies involved in managing international strategic partnerships for manufacturing enterprises amid ongoing global changes. The introduction highlights the broader problematics, contextualizing it within recent research and publications, and emphasizing the relevance to significant scientific and practical challenges. The core of the paper delves into the nuances of effective management strategies for manufacturing enterprises engaged in international strategic partnerships. It places a particular emphasis on the impact of global transformations, scrutinizing how these changes influence management practices and the optimization of international collaborations during periods of instability. Economic globalization emerges as another pivotal factor, shaping the market dynamics and strategic decisions of manufacturing enterprises. The paper discusses adaptive financial management and agile business models as essential components for success in an interconnected global economy. It navigates the opportunities presented by international collaboration while acknowledging the risks associated with economic interdependence. Strategic management amid global uncertainties becomes a focal point, advocating for flexibility, scenario planning, and continuous learning. The paper underscores the importance of proactive risk management strategies and adaptive leadership to navigate the complexities introduced by global transformations. In conclusion, the paper provides a comprehensive examination of the features involved in managing the international strategic partnership of manufacturing enterprises amidst global changes. It offers insights into navigating the challenges and leveraging opportunities, providing a roadmap for effective management in an evolving global business environment.

Intelligent and adaptive asset management model for railway sections using the iPN method

Intelligent and adaptive asset management model for railway sections using the iPN method

Innovation in Adaptive Leadership Management Model through the Development of Digital Mindset in Activator School Programs

This research aims to design measurement instruments of digital mindset and adaptive leadershiphip, and also design of adaptive leadershiphip management model through the development of digital mindset in activator school program. The samples are 296 teachers of activator high school taken using proportional random sampling. Measurement of adaptive leadershiphip is carried out through the distribution of questionnaire instruments prepared based on 5 (five) dimensions of adaptive leadershiphip, including: 1) Emotional intelligence, 2) Organizational justice, 3) Development, 4) Character, and 5) Problem solving. Meanwhile, digital mindset measurement is carried out through the distribution of questionnaire instruments prepared based on 7 (seven) dimensions of digital mindset, namely: 1) Abundance mindset, 2) Growth mindset, 3) Agile approach, 4) Comfort with ambiguity,5) Explorer’s mind, 6) Collaborative approach, and 7) Embracing diversity. The results of the design of the digital mindset and adaptive leadershiphip measurement instrument for activator high school teachers in DKI Jakarta have proven to be valid and reliable, so that this instrument can be used to measure the digital mindset of all activator high school teachers in the DKI Jakarta. The results of the design of the adaptive leadershiphip management model through the development of the digital mindset of activator high school teachers in DKI Jakarta can be seen in detail in Figure 12, namely the structural model of the influence of digital mindset towards adaptive leadershiphip, where of the 7 (seven) digital mindset dimensions, only 4 (four) dimensions that show a significant influence on adaptive leadershiphip, namely dimensions: abundance mindset, growth mindset, explorer mindset, and embracing diversity.

Establishing the Need for Anticipatory Symptom Guidance and Networked Models of Disease in Adaptive Family Management Among Children With Medical Complexity: Qualitative Study.

Caregivers of children with medical complexity navigate complex family management tasks for their child both in the hospital and home-based setting. The roles and relationships of members of their social network and the dynamic evolution of these family management tasks have been underexamined. The purpose of this study was to explore the structures and processes of family management among caregivers of children with medical complexity, with a focus on the underlying dynamic nature of family management practices and the role of members of their social network. This study used a qualitative approach to interview caregivers of children with medical complexity and members of their social network. Caregivers of children with medical complexity were recruited through an academic Children's Hospital Complex Care Clinic in the mid-Atlantic region and interviewed over a period of 1 to 3 days. Responses were analyzed using constructivist grounded theory and situational analysis to construct a new conceptual model. Only caregiver responses are reported here. In total, 20 caregivers were included in this analysis. Caregiver perspectives revealed the contextual processes that allowed for practices of family management within the setting of rapidly evolving symptoms and health concerns. The dynamic and adaptive nature of this process is a key underlying action supporting this novel conceptual model. The central themes underpinning the adaptive family management model include symptom cues, ongoing surveillance, information gathering, and acute on chronic health concerns. The model also highlights facilitators and threats to successful family management among children with medical complexity and the networked relationship among the structures and processes. The adaptive family management model provides a basis for further quantitative operationalization and study. Previously described self- or family management frameworks do not account for the underlying dynamic nature of the disease trajectory and the developmental stage progression of the child or adolescent, and our work extends existing work. For future work, there is a defined role for technology-enhanced personalized approaches to home-based monitoring. Due to the disparities caregivers and the children in this population already experience, technology-enhanced approaches must be built alongside key stakeholders with an equity orientation to technology co-development. RR2-10.2196/14810.

Movement dynamics influence population monitoring and adaptive harvest management strategies in migratory birds

Informed population monitoring efforts are essential for sound management of harvested species, and adaptive strategies that provide detailed information to monitoring efforts often require data inputs from complimentary sources. Movement ecology information is seldom directly incorporated into population monitoring or adaptive harvest management strategies, yet can provide valuable information on species distributions, emigration and immigration rates, and aid in determining optimal population monitoring timing. The Rocky Mountain Population (RMP) of Sandhill Cranes is a harvested population subject to a stringent adaptive harvest management framework and an annual aerial survey to estimate population abundance, but movements of Sandhill Cranes during survey windows, and subsequent changes to harvest quotas based on their movement and distribution have not been investigated. We used seven years of GPS tracking data to estimate state-specific emigration and immigration rates, using a Bayesian multi-state capture-recapture model, among states within the RMP distribution to understand how seasonal crane movements may influence optimal aerial survey timing. We then leveraged these transition probabilities in conjunction with aerial survey count data to model how changes in aerial survey timing and movement-informed crane distribution would influence the current RMP Sandhill Crane adaptive harvest management model resulting in estimated changes to harvest allocation among states based on Sandhill Crane movement. We found that Sandhill Crane emigration from northern states began to increase the week of the aerial survey in late September, and continued to increase as autumn migration progressed into October. As expected, immigration to southern states began as emigration from northern states increased. Importantly, little movement among states occurred prior to the current aerial survey design timing. Overall, we found that current survey timing and shortly thereafter (∼1 week) did not greatly influence estimates of Sandhill Crane distribution, and did not greatly influence the harvest reallocation to each state until mid to late October (range of −42–+52 tag allocation change), much later than the current survey design would allow. Using GPS locations, we found that optimal population monitoring efforts could be improved to account for both detection and seasonal movements, while minimally influencing current adaptive harvest management strategies to stakeholders. Linking movement ecology with population monitoring efforts and subsequently adaptive harvest management strategies yields insightful information that can be beneficial for conservation planning, decision-making, and optimal species management of a migratory bird.

The role of B2B digital platforms for managing future worldwide crisis. A strategic sensitivity framework for exploiting the breakthrough technological innovations

The recent years have been dominated by the urgency of mitigating the effects of dramatic emergencies. In the first step the sudden outbreak of Covid19 and next the Ukraine conflict raising have put under stress the stability of worldwide B2B digital platforms sectors. In response to the unpredictable catastrophes the worldwide organizations started to adopt several breakthrough technologies by means of confused response strategies. The literature did not sufficiently address the issue of which could be the most effective ways to relief a crisis picking solutions from the new breakthrough innovations in B2B digital platform systems. The analysis of B2B digital platforms during a crisis is not trivial because of the system complexity. To fill the literature, gap this paper exploits the line of study of crisis theory. Through the lens of analysis of the adaptive management model, the paper aims at creating a theoretical model based on the most impactful breakthrough innovations on B2B digital platforms mechanisms. Related to dual adaptive management approaches, the study creates four different scenarios to simulate through a system dynamic method. The results of the simulation come up with four main mitigation strategy patterns associated with the different levels of crisis perturbation and adaptive approach style. The paper aims at expanding the study on B2B digital platform technological evolution and provides some interesting insights on how to configure an effective crisis mitigation strategy.

An adaptive social forestry model in West Papua based on cultural forests and the main potential of NTFPS: Theory and practice

The presence of the Job Creation Law Number 11 of 2020 opened a new discourse on social forestry policy in Indonesia. The discourse on the concept of forest resource management is used as the basis for the theory and practice of local community-based development. The purpose of this paper is to develop a model of adaptive natural resource management for the development of site-scale social forestry. As potential superior Non-Timber Forest Products (NTFPs), the types of Papuan nutmeg and black fruit have been utilized by local communities for generations. A mixed method using descriptive system analysis was used in developing the concept of cultural forest. The results of the study found that a cultural-forest-based adaptive natural resource management scenario in West Papua from case studies on the use of nutmeg in Fakfak and black fruit districts in Teluk Wondama district can be designed as a model for social forestry at the site level. The three landscape typologies of natural forest habitat, secondary forest and home gardens are a systemic-holistic unit that demonstrates certainty of access and ownership for determining site-scale social forestry schemes in West Papua.

A Sustainable Adaptive Reuse Management Model for Disused Railway Cultural Heritage to Boost Local and Regional Competitiveness

Building reuse is a strategy for built heritage enhancement. The establishment of new activities in an existing building can have positive effects on the urban and territorial context and modify the dynamics of socio-economic development. If the reuse is considered as a cultural development strategy and not limited to a single building but to both buildings and infrastructures, these effects are amplified. This is the case of railway heritage, affected by an increasingly vast process of abandonment. The Italian policies for encouraging road transport and the communication models of the digital era have contributed to the gradual desertion of railway lines. This requires effective reuse models, to avoid that the Ferrovie dello Stato (State Railways) continue to carry the heavy burden of managing assets no longer able to generate income. The analysis of numerous station reuse cases, at an international level, lead to the selection of the case of the Postal Museum and Mail Ride in London as an example of good practice. The proposed methodology identifies a set of evaluation criteria and indicators to assess the effectiveness of adaptive reuse projects both in terms of their ability to protect built heritage identity and to modify the orientation of the territorial context’s development towards socio-economic sustainability guidelines.

МОДЕЛЬ АДАПТИВНОГО РЕГУЛИРОВАНИЯ И УПРАВЛЕНИЯ ТЯГОВЫМИ РЕСУРСАМИ С ИДЕНТИФИКАЦИЕЙ В ПЕРЕВОЗОЧНОМ ПРОЦЕССЕ ПОЛИГОНА ЖЕЛЕЗНЫХ ДОРОГ

The current state of the JSC «Russian Railways» locomotive complex is analyzed in the context of landfill technologies and active digitalization of production and economic processes. The mechanism of comprehensive assessment of the distribution of locomotives and adaptive mechanism for regulating the areas serviced by locomotive crews are considered, which allow to realize the potential of locomotive enterprises to fulfill the established parameters of the use of traction facilities on the infrastructure. The organizational model of adaptive regulation and management of traction resources is proposed, which makes it possible to organize, at the request of carriers, the provision of traction and locomotive crews by independent commercial structures and individuals on a competitive basis.

ADAPTIVE STRATEGIC MANAGEMENT IN A DIGITAL BUSINESS ENVIRONMENT

The authors of the article hypothesize the positive impact of the global digitalization of business on the development of adaptive management of the company in a changing business environment. Based on a thorough analysis of recent publications on the subject of adaptive strategic management, it was found that under the conditions of digitalization of business relationships, indicative tools and flexible methods of management decisions are activated. The purpose of the article is to develop conceptual and applied foundations of adaptive strategic management in the context of digital transformation of business. To implement this goal, the authors justified the principles and approach of adaptive strategic management in the digitalization of business, systematized the actual methods of diagnostics of prerequisites for the implementation of the strategy, the choice and implementation of its optimal variant, defined the tools of adaptive management. Methodological basis of research are system-structural and dialectical methods to substantiate the essence of the processes of digitalization of the business environment and determine their impact on strategic decision-making; modeling to develop a mechanism for implementing adaptive strategies of companies; method of algorithmization, integrated approach and system analysis to develop a mechanism as a complete system and determine the sequence of its action. Scientific novelty of the study consists in the development of adaptive management mechanism of strategy implementation in an activated digital environment, promoting the spread of situational approach in management, updating of indicative tools, more flexible methodologies for management decisions. The mechanism of realization of the adaptive strategy assumes functioning of three subsystems: diagnostics of preconditions of realization of strategy, selection of an optimum variant of strategy and introduction of the strategic scenario. The authors have developed tools for subsystems, proposed methods to achieve the objectives, disclosed the functions in the overall mechanism. At the input to the mechanism are the interests of the client, determining the positioning of the company in the foreign and domestic market. As a result of the mechanism, the company adapts to the changing external environment, providing a stable competitive market position and operational action of all structural units, adequately and quickly responding to market conditions and changes. The authors also investigated the applied aspects of the mechanism's action, and listed its functions and tasks in the digital environment, as well as the resources for its functioning. The authors consider the complexity of counteracting the high risks of digitalization of business to be significant limitations of the mechanism, which determines new directions for further research and opportunities for improvement of the mechanism. The authors consider the risk management of adaptive strategies, the dissemination of indicative methods for diagnosing the digital environment, and the development of strategic adaptive management models to be promising directions for scientific developments in this area. The practical significance of the study lies in the possibility of using its results in the practice of management of modern companies in order to ensure sound management decisions and strategic development in the context of global digitalization of business.