Resource Adjustment Research Articles

Performance analysis of Mengniu Dairy's merger and acquisition of Milk Ground

The transformation and upgrading of market consumption demand has provided a good driving force and environmental requirements for mergers and acquisitions in the dairy industry. The article uses the financial analysis method and event analysis method to build the performance evaluation system of M&A from four aspects of financial analysis, operation, customers and employees, and analyses the performance of Mengniu Dairy's M&A of Milk Ground. The results show that Mengniu Dairy has achieved a positive strategic integration effect. Although the selected M&A mode has worsened its solvency in the short term, it has improved its development ability and competitiveness in the long term. However, it is worth summarizing that Mengniu Dairy has not taken effective measures for internal resource adjustment. Therefore, enterprise mergers and acquisitions should be based on the resource advantages of both sides, formulate reasonable merger and acquisition plans according to their own financial conditions and development strategies, refine the market, update business strategies, avoid financial difficulties, and pay attention to strengthening the ability of asset management and internal resource integration to improve merger and acquisition performance.

Simulating and optimizing precast wall lifting in prefabricated building construction

PurposePrecast wall lifting during prefabricated building construction faces multiple non-lean problems, such as inaccurate lifting-time estimation, unreasonable resource allocation and improper process design. This study aims to identify the pathways for improving lifting performance to advance lean construction of prefabricated buildings.Design/methodology/approachThis study developed a methodological framework that integrates the discrete event simulation method, the elimination, combination, rearrangement and simplification (ECRS) technique and intelligent optimization tool. Two schemes of precast wall lifting, namely, the enterprise's business as usual (BAU) and enterprise-leading (EL) schemes, were set to benchmark lifting performance. Furthermore, a best-practice (BP) scheme was modeled from the perspective of lifting activity ECRS and resource allocation for performance optimization.FindingsA real project was selected to test the effect of the methodological framework. The results showed that compared with the EL scheme, the BP scheme reduced the total lifting time (TLT) by 6.3% and mitigated the TLT uncertainty (the gap between the maximum and minimum time values) by 20.6%. Under the BP scheme, increasing the resource inputs produces an insignificant effect in reducing TLT, i.e. increasing the number of component operators in the caulking subprocess from one to two only shortened the TLT by 3.6%, and no further time reduction was achieved as more component operators were added.Originality/valueTo solve non-lean problems associated with prefabricated building construction, this study provides a methodological framework that can separate a typical precast wall lifting process into fine-level activities. Besides, it also identifies the pathways (including the learning effect mitigation, labor and machinery resource adjustment and activities’ improvement) to reducing TLT and its uncertainty.

Towards self-recovering construction schedules: a new method for periodically updating project plans and optimizing recovery actions

ABSTRACT It is common for a construction schedule to deviate from its original-planned baseline, as uncertainty is inherent in all construction activities. Accordingly, planners are required to perform periodic schedule updates that learn from retrospective progress to more accurately schedule remaining activities and draw optimum recovery plans. This research proposes a method that utilizes a neural network regression model to forecast upcoming productivity rates based on retrospective progress and accordingly updates the schedule on a regular time interval with the required resource adjustments to meet the planned end date of the project with optimal cost. The method was tested on brickwork activities at a residential complex construction project in the UAE, using retrospective progress data of 1487 working days for 132 masons, and was found to be 98% accurate in predicting labor productivity, which was thus used as a basis to draw schedule recovery plans according to the proposed framework. In essence, this research provides a platform toward an automated self-recovering scheduling system, which serves construction managers in proactively preventing potential schedule deficiencies.

How Does Corporate Charitable Giving Affect Enterprise Innovation? A Literature Review and Research Directions

During the past decades, academics and practitioners have basically reached a consensus on the relationship between corporate charitable giving and enterprise innovation. However, so far, few research studies have explored the essential reasons and the influencing mechanisms behind the relationship, through sufficient theoretical or empirical study. To clarify this relationship, this paper collects and reviews 196 related articles which include the topics of corporate philanthropy and corporate innovation over the period of 1966–2022, and analyzes their content in a systematic and comprehensive manner. Based on the literature analysis, it clarifies the current state and the differentiation trends of research topics in this field, then discusses the industry operations and theoretical development of corporate charitable giving. Through literature reviewing and practical analysis, this paper summarizes the mechanism and path of the influence of charitable giving on enterprise innovation from four perspectives: technical network, political reputation, media attention and resource adjustment, and proposes the external factors at macro- and meso-levels. By constructing a multi-level theoretical framework, this paper clarifies the preconditions, key factors and mediating mechanisms of charitable donation affecting enterprise innovation. This paper contributes a novel theoretical perspective for further theoretical development and for effectively managing corporate charitable giving and enterprise innovations. The paper concludes by offering several suggestions for future research on corporate charitable giving.

The association between academic stress, social support, and self-regulatory fatigue among nursing students: a cross-sectional study based on a structural equation modelling approach

BackgroundEmphasizes the state of academic stress, social support, and self-regulatory fatigue on the physical and mental development of Chinese nursing students, the purpose of this study was to investigate the relationship between these variables and the mediating role of social support in academic stress and self-regulatory fatigue among a group of undergraduate nursing students in Heilongjiang Province, China, in order to provide a theoretical basis for working to reduce nursing students’ self-regulatory fatigue.MethodsIn this cross-sectional study, 1703 nursing students from various academic years completed the scales of social support, academic stress, and self-regulatory fatigue. In the end, there were 797 valid questionnaires, for a recovery rate of 46.80%. For statistical analysis, the independent t-test, Kruskal Wallis test, and Pearson correlation coefficient were used. In addition, we undertake analyses using structural equation modeling.ResultsThe bulk of nursing students, or 81.4%, are between the ages of 19 and 21. Eighty percent were females. The bulk (93.0%) was comprised of freshmen. Academic stress, social support, and self-regulatory fatigue had total scores of 111.28 ± 29.38, 37.87 ± 6.70, and 45.53 ± 5.55,respectively. Academic stress was correlated with social support and self-regulatory fatigue (all p < 0.001). Social support was an intermediate variable (p < 0.001), with an intermediate effect value of 0.122, representing 32.35% of the total effect.ConclusionAcademic pressure is associated with an increase in self-regulatory fatigue, mediated by social support. Educational administrators should pay attention to the social support and resource supplement of nursing students, the adjustment and compensatory development of nursing students’ physical and mental resources, the advancement of nursing students’ internal resource adjustment, and the reduction of their self-regulatory fatigue.

Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning

With the development of networking technologies, global Internet traffic is constantly increasing. Moreover, various traffic types associated with a variety of network services and applications co-exist in the network, having diverse volume and seasonality patterns. The knowledge of future patterns of these heterogeneous traffic types is beneficial for the network operators, as it enables proper adjustment of available network resources in near real-time, and allow performing periodical network reconfigurations. In this paper, we propose a chunk-based ensemble learning method for a long-term prediction of multiple network traffic types. Our developed prediction method combines two popular machine learning (ML) approaches: chunk-based learning on data streams and ensemble learning. The proposed method does not require large volumes of training data and is resilient to changes in traffic characteristics. Finally, we create a custom metric called allocation outside blocking threshold (AOBT), which links the problem of network traffic prediction to bandwidth blocking probability in dynamic traffic routing. We compare the performance of our online method to a number of baselines, using the root mean square percentage error (RMSPE) and the proposed AOBT metrics. According to conducted experiments, the proposed streaming approach outperforms the reference ones in RMSPE and AOBT. Depending on the metric and model, chunk-based ensemble learning achieves 5%–34% lower prediction errors across traffic types. However, the choice of a specific model depends on the investigated traffic type and applied metric.

Admission Control and Resource Reservation for Prioritized Slice Requests With Guaranteed SLA Under Uncertainties

Network slicing has emerged as a key concept in 5G systems, allowing Mobile Network Operators (MNOs) to build isolated logical networks (slices) on top of shared infrastructure networks managed by Infrastructure Providers (InP). Network slicing requires the assignment of infrastructure network resources to virtual network components at slice activation time and the adjustment of resources for slices under operation. Performing these operations just-in-time, on a best-effort basis, comes with no guarantee on the availability of enough infrastructure resources to meet slice requirements. This paper proposes a prioritized admission control mechanism for concurrent slices based on an infrastructure resource reservation approach. The reservation accounts for the dynamic nature of slice requests while being robust to uncertainties in slice resource demands. Adopting the perspective of an InP, reservation schemes are proposed that maximize the number of slices for which infrastructure resources can be granted while minimizing the costs charged to the MNOs. This requires the solution of a max-min optimization problem with a non-linear cost function and non-linear constraints induced by the robustness to uncertainties of demands and the limitation of the impact of reservation on background services. The cost and the constraints are linearized and several reduced-complexity strategies are proposed to solve the slice admission control and resource reservation problem. Simulations show that the proportion of admitted slices of different priority levels can be adjusted by a differentiated selection of the delay between the reception and the processing instants of a slice resource request.

Human Resource Allocation in the State-Owned Forest Farm of China for the Changing Climate

Global climate change has become a hot topic in today’s international political, economic, environmental and diplomatic arenas. China has implemented a series of strategies, measures and actions to cope with climate change, which has promoted industrial transformation and human resource adjustment in China’s state-owned forest areas. However, little is known about the role of current human resource allocation in adaptation to climate change in the state-owned forest farm of China. To address these gaps, this study calculated the current situation of human resource structure and the contribution rate of three industries to the allocation of human resources and the evaluation model of coordinated fitness to the climate changes in key state-owned forest farms. The results show that: (1) The current situation of talent in key state-owned forest areas shows a shortage of total amount, a shortage of high-level and highly educated talents, and aging of talents. (2) The coefficient of structural deviation increased and the coefficient of structural-change synergy kept decreasing, indicating that the coordination between human resource allocation and industrial structure in key state-owned forest areas nowadays is only at the intermediate level of synergistic fitness. The paper highlights the trained-professional human resource and the industrial structure changes in the context of climate change as the main limited factors for the key state-owned forest farms of China. Increasing the education investment for climate change and the economic income for the employees are suggested to be promoted for policy makers in future.

Primary logistics planning of oil products under the imbalance of supply and demand

This paper intends to complete the primary logistics planning of oil products under the imbalance of supply and demand. An integrated mathematical programming model is developed to simultaneously find the balance between supply and demand, and optimize the logistics scheme. The model takes minimum logistics cost and resource adjustment cost as the objective function, and takes supply and demand capacity, transportation capacity, mass balance, and resource adjustment rules as constraints. Three adjustment rules are considered in the model, including resource adjustment within oil suppliers, within oil consumers, and between oil consumers. The model is tested on a large-scale primary logistics of a state-owned petroleum enterprise, involving 37 affiliated refineries, 31 procurement departments, 286 market depots and dedicated consumers. After the unified optimization, the supply and demand imbalance is eased by 97% and the total cost is saved by 7%, which proves the effectiveness and applicability of the proposed model.

Incidence Control Units Selection Scheme to Enhance the Stability of Multiple UAVs Network

The autonomous cooperation of multiple unmanned aerial vehicles (UAVs) will effectively improve the efficiency of task completion and meet the needs of task diversity. The information interaction and mutual control between UAVs restrict the autonomy of multi-UAVs. The number and selection of control units not only affect the equipment cost of the network but also affect the stability of the network. Link information, such as bandwidth resources and the computing power of the control unit, also affect the resource adjustment of other related links. In order to improve the efficiency and stability of UAVs computing first network, considering the number of control units and link information, this article creatively puts forward the concepts of incidence control, sign incidence control, and incidence complete control. The minimum incidence control number and incidence complete control number of general graphs are calculated. When the network topology of UAV meets the requirements of path, circle, and star, the exact value of the sign incidence control number is calculated. When the network topology of UAV meets the requirements of the complete graph, complete bipartite graph, and wheel graph, the bounds of the sign incidence control number are calculated. The number of control units of the UAV network is further determined.

WHAT IS RELATED TO COST, PRODUCT OR SERVICE - EMPIRICAL DATA AND MARKET SENTIMENT REGULATION ANALYSIS OF SERVICE-ORIENTED LISTED COMPANIES IN CHINA'S MANUFACTURING INDUSTRY

Abstract Background There is a “service-oriented paradox”, which inhibits the performance in the process of service-oriented due to the rise of operating costs and other problems. There are few studies on how service-oriented affects the cost of manufacturing enterprises. The analysis of the potential market emotional micro behavior under the service-oriented paradox is also one of the contents of this article. Subjections and Methods Non ST manufacturing companies listed on A-shares in Shanghai and Shenzhen, China from 2007 to 2019 were selected as samples, and the OLS method was used to study the impact of service level on cost stickiness, as well as the two impact mechanisms of management psychological expectation and resource adjustment cost in the sample of 4826 company years, and the intermediary effect test was used for analysis. In addition, a questionnaire survey is also used to investigate the emotional micro behavior of non ST manufacturing companies listed on A-shares in China. The Chinese version of cognitive emotion regulation scale revised by Wei Yimei in 2008 was used in this study. The scale is a self-report scale, which requires individuals to self-evaluate the cognitive emotion regulation methods used in experiencing negative life events. The scale has 32 items, including 8 cognitive coping strategies, including self-blame, tolerance, reflection, positive adjustment, positive imagination, self-comfort, disaster and blaming others. This scale is divided into adaptive and non adaptive cognitive emotion regulation methods. Adaptive strategies are tolerance, positive adjustment, positive imagination and self-comfort. Non adaptive strategies are self-blame, reflection, disaster and blaming others. The questionnaire adopts the 5-point scoring method (1-5, from “almost never” to “almost always”). The higher the score on a subscale, the more likely the subjects are to use this cognitive strategy. The internal consistency coefficient of the total scale is 0.89, of which the internal consistency coefficients of the eight sub scales are 0.72, 0.68, 0.70, 0.66, 0.81, 0.60, 0.81 and 0.76 respectively. The internal consistency coefficient of the scale in this study is 0.839. Results the research shows that with the improvement of service level, the Cost Stickiness of manufacturing enterprises first decreases and then increases, that is, first according to product stickiness and then according to service stickiness. Mechanism research shows that in the early stage of service-oriented, managers' psychological expectations tend to be cautious and optimistic, unwilling to hold more resources, so as to reduce cost stickiness; In the later stage of service-oriented, managers' psychological expectations are often too optimistic and tend to hold more resources, which increases the Cost Stickiness; Under this psychological effect, managers tend to allocate lower adjustment costs in the early stage of service-oriented, so as to reduce cost stickiness; In the later stage of service-oriented, they tend to allocate high adjustment cost resources and enhance the Cost Stickiness in the later stage of service-oriented. Further research shows that made in China 2025 and state-owned enterprises strengthen the relationship between service level and cost stickiness. In addition, in the process of the impact of financial events on anxiety, emotional response plays an intermediary role, and psychological elasticity plays a regulatory role. Financial events are regulated by psychological elasticity through the intermediary effect of emotional response on anxiety. That is, the higher the psychological elasticity, adjust the impact of financial events on anxiety through coping styles and reduce it; On the contrary, the lower the level of psychological elasticity, adjust the impact of financial events on anxiety through coping styles, and increase it. Conclusion under the influence of managers' psychological expectation and resource adjustment cost, there is a U-shaped relationship between the service level of manufacturing enterprises and cost stickiness. The study also lacks the impact of different service types on Cost Stickiness. The research results help manufacturing enterprises understand the change law of cost allocation in the process of service-oriented, and have strategic value in promoting the implementation of made in China 2025. At the same time, the scientific use of different enterprise strategies according to the emotional micro changes in different regions should also become the scope of consideration of the manufacturing industry. Acknowledgements Tianjin Municipal Philosophy and Social Science Planning Project Youth Project: “Research on the Impact of Servitization on Cost Stickiness in Chinese Manufacturing Enterprises” (TJGLQN18-006); Tianjin Municipal Education Commission Social Science Major Project: “Research on Cost Sharing Mechanism of Postgraduate Training” (2020JWZD05).

Peculiarities of technique of teaching technical disciplines in the institution of higher education of the building profile

In order to determine the importance of modernizing the operational component of educational activities, further scientific development of theoretical and technological components of teaching technical disciplines in higher education institution of construction profile, the determinants that determine the peculiarities of their teaching methods were clarified. The main approaches to the formation of the content of education and components of interactive educational technology, focused on the priority of personality-oriented learning to achieve its goals and objectives. Analysis of scientific research on the methodological aspects of the educational process made it possible to define the concept of methods of teaching technical disciplines in higher education in construction as a set of psychological and pedagogical components containing a specific educational goal, subjects of the didactic process, operational elements, educational information technology and technical and resource support, which ensures the achievement of the projected result through their optimal selection, scientific substantiation of the feasibility of application, objective assessment of the achievement of the goal, proper adjustment and mobile allocation of resources. It is established that the solution of the tasks of the modern educational process in the institution of higher education of construction profile to ensure its compliance with the needs of the labor market is associated with the implementation of the competence approach. Among the main means of personality-oriented learning for the formation of professional competence of students are competence-oriented tasks as integrative didactic units of content, technology and monitoring the quality of student training, which are focused not only on learning but also developing skills to acquire and actively use linking current issues in specific production conditions with predictable consequences. The content of actual conditions for personalization of students' education and recommendations for improving the methods of conducting the main types of educational tasks - lectures, practical and laboratory. The content of the stages of realization of the methodology of teaching technical disciplines in the institution of higher education of construction profile is determined, namely - preparatory, content-procedural, reflexive-analytical, control-evaluation and result-corrective.

Correction to: Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network

Correction to: Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network

Cost asymmetry around seasoned equity offerings

We examine the asymmetric cost behaviour of firms during seasoned equity offerings (SEOs). Using a sample of US firms that issued SEOs over the period 1995–2020, we find a reduction in cost asymmetry for SEO firms. We also demonstrate that managerial resource adjustment decisions are driven by stronger external monitoring instead of managerial entrenchment. We find that competent managers make efficient resource adjustments, but they are able to do so when they operate under excess capacity. Further, we find that SEOs retain slack resources when demand declines in periods following the SEO. Finally, we find that the lower cost asymmetry during SEOs improves future firm performance. Our results are robust to several categories of cost, different measures of firm performance and different model specifications. This study contributes to the literature by documenting managerial cost management decisions around SEOs.

Performance Management in Cloud Computing

Cloud service providers encounter a challenge in managing remote resources due to the dynamic nature of the cloud environment. The complexity of the process is increased by the requirement of maintaining service quality in line with customer expectations, as well as the extremely dynamic nature of cloud-hosted applications. As a result of developments in big data learning methodologies, traditional systems have given way to intricate systems. In the existing studies, it is shown that the resource adjustment decision-making process is intimately linked to the system's behavior, including resource utilization and application components. The most essential requirements and restrictions in cloud resource management, as well as workload and anomaly analysis approaches in the context of cloud performance management, are discussed in this paper. The related works are provided, with major methodologies in current studies ranging from data analysis to performance techniques. Finally, a list of open challenges is compiled, taking into account the identified gaps in the overall direction of the tasks under consideration.

A study on the efficiency of pediatric healthcare services and its influencing factors in China ——estimation of a three-stage DEA model based on provincial-level data

The rapid development of socio-economic has challenged pediatric health services in the new era. Assessing the efficiency of pediatric health services in China and utilizing them will facilitate the continued and stable development of pediatric health services in the face of these challenges. Based on a Three-stage DEA model of generalized modified panel, this paper uses panel data from 31 provinces and cities in China from 2008 to 2019 to estimate efficiency of pediatric health services and analyze the influential factors influencing the efficiency of pediatric services. The research establishes a multi-dimensional evaluation model of input-output-environment-impact. Fully consider the transformation of input elements such as pediatric beds, technical experts, pediatric finance, and pediatric policies in technical, professional, and economic environments. And with the help of long-term and short-term service effects of pediatrics, pediatric income, pediatric infrastructure, social satisfaction and other factors to output. Objectively summarize the real service effect of pediatrics. The model corrects for the interference of technical and non-administrative factors and obtains the most realistic pediatric performance based on changing social dynamics. The study found: (1) while the efficiency of pediatric healthcare services in China's provincial areas has been increasing year by year, there are specific geographical differences, and further improvements and rational allocation of healthcare resources are needed. Among them, the southern developed regions are 16.25% higher than the average efficiency of the northern regions. The annual floating span is 9.54%. Geography is a key factor that dominates the efficiency gap.(2) There is significant redundancy and disparity in the resources invested in pediatric services, and optimization of the economic, technological, and professional environment will continue to eliminate the impact of redundancy and drive the growth of pediatric service efficiency.The redundant scale of various input elements accounted for 31.81%. It shows that nearly 30% of the input resources have not been fully utilized. Among them, the redundancy of beds is relatively small in China, only 21.77%. It shows that the construction of pediatric beds in China is relatively effective, but the pediatric redundancy in developed areas is only 3.24%, and the adjustment of input resources across regions is the key to the optimization of pediatric services. (3) Increase in the health care price index will have a negative effect on the efficiency of pediatric services. In contrast, an increase in urbanization levels, education levels, and birth rates will drive the optimization of pediatric service efficiency.

The Impact of Cloud-Based Live Streaming Technologies on Mobile Applications: Development and Future Trends

The proliferation of cloud-based live streaming technologies has significantly impacted the development and functionality of mobile applications. These technologies, leveraging scalable cloud infrastructure, offer developers a robust platform for delivering real-time streaming content, improving user engagement, and expanding service capabilities. This paper explores the transformative effects of cloud-based live streaming on mobile application development, emphasizing key innovations, current challenges, and future trends. Cloud-based live streaming technologies enable mobile applications to handle high-resolution video streams with minimal latency, thanks to advanced cloud infrastructure and Content Delivery Networks (CDNs). The elasticity and scalability of cloud services allow for dynamic adjustment of resources based on user demand, ensuring a seamless viewing experience across diverse network conditions. This has led to significant improvements in video quality and accessibility, making live streaming more reliable and engaging for end-users.

Application of Ecology-Geomorphology Cognition Approach in Land Type Classification: A Case Study in the Altay Region

Land types play an important guiding role in human survival and production. Clarifying the division of land types is the basis for ensuring the sustainable and coordinated development of social-economic-natural complex ecosystems. To date, the land type classification system has not formed a unified standard, and the existing classification fails to highlight the natural background elements of land. Therefore, it is important to construct a classification system that can reflect natural background elements. Additionally, land type classification is often based on land resource surveys. Updating the land type is generally difficult and slow, mainly due to a lack of appropriate information. Hence, it is necessary to develop an automatic land type renewal method using multisource information. This study proposes the ecology-geomorphology cognition (Eco-geoC) approach for land type classification. The approach is realized by the segmentation of land units using remote sensing images, geographic information, vegetation, soil, DEM, and geoscience knowledge. This approach is an extension of the object-based image analysis method. The spatial objects segmented from different attribute data are integrated, and finally, a comprehensive land mapping unit representing a certain degree of geographical homogeneity and land use potential is generated. The results show that the Eco-geoC approach is an integrated approach with objectification cognition on remote sensing images and multisource information using geo-knowledge. The Eco-geoC approach is tested in the Altay region. From coarse to fine scales, the study area is divided into two kinds of natural belts, 27 land systems and 78 land units, and a 1:500,000 land-type map, which shows a good coupling relationship between the physiognomy, vegetation, and soil in the Altay region, is compiled. The results of this study show that the use of the Eco-geoC approach for land type classification is significant and has potential for land assessment and planning. This approach can provide a scientific basis for the restoration of the regional ecology and the comprehensive management and adjustment of land resources and the environment.

Rotational tenure and land productivity: farm level evidence from low country wet zone paddy lands in Sri Lanka

Rotational tenure systems of Thattumaru – Kattimaru is a special system which is peculiar to certain parts of the country specially the Mid and Low country Wet zone paddy lands. Even though the original features are slowly waning, it still survives most persistently in areas where land is limited, and agriculture remains the predominant occupation. Therefore, this study was conducted to determine the paddy production performance and resource use efficiency in the rotational tenure paddy lands. Data from comprehensive field survey conducted in Ratnapura, Kalutara and Galle districts in 2018/2019 Maha and 2019 Yala season was used for the study. Technical efficiency and determinates of the efficiency were estimated using stochastic frontier approach. Results of the efficiency analysis reveal that inefficiencies do exist in paddy production under rotational tenure and estimated production loss due to inefficiencies is 45 percent. Land, labour and seeds have significant impact on the yield. Level of productivity can be enhanced making relevant resource adjustment while combining it with social factors.

Cost-Effectiveness of Constraint-Induced Movement Therapy Implementation in Neurorehabilitation: The ACTIveARM Project.

BackgroundConstraint-induced movement therapy (CIMT) is a recommended intervention for improving arm recovery following stroke and traumatic brain injury; however, delivery in practice remains rare.PurposeThe aim of this study was to investigate the costs and cost effectiveness of CIMT delivery, and the use of a CIMT implementation package designed to improve CIMT uptake and delivery by therapists in Sydney, Australia.MethodsThis economic evaluation was conducted with a subset of CIMT programmes (n = 20) delivered by neurological rehabilitation teams at five varied hospitals within a mixed methods implementation study (ACTIveARM). The costs of delivering the CIMT implementation package and publicly funded CIMT were calculated using a bottom-up approach. A cost-effectiveness analysis was conducted, using decision analytic modelling. We compared the uptake and outcomes of people who received CIMT from health services that had received a CIMT implementation package, with those receiving standard upper limb therapy. An Australian health care system perspective was used in the model, over a 3-week time horizon (the average timeframe of a CIMT programme). All costs were calculated in Australian dollars (AUD). Inputs were derived from the ACTIveARM study and relevant literature. The Action Research Arm Test was used to measure arm outcomes. Sensitivity analyses assessed the impact of improving CIMT uptake, scale-up of the implementation package and resource adjustment, including a ‘best-case’ scenario analysis.ResultsThe total cost of delivering the implementation package to nine teams across five hospitals was $110,336.43 AUD over 18 months. The mean cost of delivering an individual CIMT programme was $1233.38 AUD per participant, and $936.03 AUD per participant for group-based programmes. The incremental cost-effectiveness ratio (ICER) of individual CIMT programmes was $8052 AUD per additional person achieving meaningful improvement in arm function, and $6045 AUD for group-based CIMT. The ICER was most sensitive to reductions in staffing costs. In the ‘best-case’ scenario, the ICER for both individual and group-based CIMT was $245 AUD per additional person gaining a meaningful change in function.ConclusionTherapists improved CIMT uptake and delivery with the support of an implementation package, however cost effectiveness was unclear.Clinical Trial Registrationhttps://anzctr.org.au/Trial ID: ACTRN12617001147370.Supplementary InformationThe online version contains supplementary material available at 10.1007/s41669-022-00323-9.