Resource Management Task Research Articles

A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran

Background and aimOne of the main tasks of the healthcare human resource management is to maintain and retain professional staff. The high level turnover of professional staff may reduce the quality of healthcare service delivery. Therefore, this study investigated the factors associated with the turnover of the newly recruited healthcare professionals using survival analysis method in Iran.Materials and methodsThis historical cohort analysis comprised 6811 employees who began working at Mashhad University of Medical Sciences between 2005 and 2020. Employees recruited at any of the university’s units between the years 2005 to 2019 were included. We used appropriate descriptive indices and Log-rank test and the Cox proportional-hazards model to assess the staff turnover. A significance level of 0.05 was used for all tests.ResultsThe findings of the survival analysis showed that the probability of turnover in one year, two years, and five years of employment were 0.12, 0.16, and 0.27. Based on the findings of the Log-rank test, the probability of turnover in entire of the study period was not statistically different between male and female (p = 0.573), and likewise between employees with healthcare occupations and non-healthcare occupations (p = 0.351). Employees whose current workplace and birthplace were not similar had a significantly higher probability of turnover (p < 0.001). Accordingly, the Cox regression result showed, the risk of turnover for the singles was 1.22 times higher than the married. For the Ph.D degree was 3.23 times higher compared to those with a diploma or an associate degree, and for a bachelor’s or master’s degree was 2.06 times more likely to change their workplace than those with a diploma or an associate degree.ConclusionPolicies promoting the recruitment of native-born professionals, given priority to the married candidates than single ones, and/or recurring candidates to pledge to stay in the locality of recruitment site can increase the staff retention and reduce the costs of staff turnover including re-hiring, initial and on-the-job training, accommodation, and other extra living consumptions away from home and family.

Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications

The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so on is increasing by means of cloud computing, which provides on-demand storage and computation facilities over the Internet. To meet specific requirements of IoT applications, the cloud has also shifted its service offering platform to its next-generation models, such as fog, mist, and dew computing. As a result, the cloud and IoT have become part and parcel of smart applications that play significant roles in improving the quality of human life. In addition to the inherent advantages of advanced cloud models, to improve the performance of IoT applications further, it is essential to understand how the resources in the cloud and cloud-influenced platforms are managed to support various phases in the end-to-end IoT deployment. Considering this importance, in this article, we provide a brief description, a systematic review, and possible research directions on every aspect of resource management tasks, such as workload modeling, resource provisioning, workload scheduling, resource allocation, load balancing, energy management, and resource heterogeneity in such advanced platforms, from a cloud perspective. The primary objective of this article is to help early researchers gain insight into the underlying concepts of resource management tasks in the cloud for IoT applications.

Transfer performance of gated recurrent unit model for runoff prediction based on the comprehensive spatiotemporal similarity of catchments

Accurate runoff prediction in data-poor catchments is important for water resource management, flood mitigation, environmental protection, and other tasks. One possible solution is to transfer a runoff prediction model constructed by using a machine learning model for gauged catchments to data-poor catchments. However, the transfer of runoff prediction model must consider the comprehensive spatiotemporal similarities between the catchments; otherwise, the transfer performance can be massively uncertain. Therefore, to improve the accuracy of runoff prediction and eliminate the uncertainty in identifying the differences between catchment environments, this paper proposes a novel measurement approach of comprehensive spatiotemporal similarity. This approach measures the similarities among catchments by fully considering which of the various catchments' spatiotemporal attributes can better represent the geographical similarity. Then, according to the similarities between the catchments, a runoff prediction model trained in gauged catchments is transformed for the most similar data-poor catchments to predict the runoff and the transfer performance is analyzed. To this end, a runoff prediction model is built using a gated recurrent unit (GRU) network based on the CAMELS catchments data set. A framework to extract the comprehensive spatiotemporal features of catchments is designed using three autoencoders. The catchments' similarities can be measured, further, and their spatiotemporal attributes determined once a measurement model of comprehensive spatiotemporal similarity is constructed. Finally, the transfer performance of the GRU runoff prediction model based on comprehensive spatiotemporal and other geographical similarities is evaluated and analyzed. The experimental results demonstrate that the proposed method outperforms comparable approaches.

Post Covid HR trendovi organizacije rada i njihov značaj za zaposlene u Srbiji

At the beginning of 2020, the world as we knew it changed and it is quite certain that no one could have predicted the extent of those changes and how long they would last. The COVID-19 pandemic has imposed ad-hoc operations on business organizations in a challenging environment in all fields. The tasks of human resource management were to adapt and respond to radical changes that occurred both in the workplace and on the social level. On the other hand, the employees were worried about the uncertainty that was omnipresent. The aim of the conducted research and the results presented in the paper refer to the importance of flexibility in the choice and manner of working hours, as well as the willingness of employees to change jobs after the pandemic. An overview of the situation on the market in Serbia is given, all with the aim of adapting and benefiting employees in the current working environment.

OVERVIEW OF MODERN APPROACHES TO THE FORMATION AND DISTRIBUTION OF THE COMPANY’S MATERIAL AND INFORMATIONAL RESOURCES

The purpose of the article is a general overview of approaches to the management of material resources of a manufacturing enterprise. Approaches to defining the concepts of “material resources” and “material resources of the enterprise” and the composition of the material resources of the enterprise are analyzed. It is agreed that material resources include raw materials, main and auxiliary materials, component products, fuel, work in progress and production waste. Features of material resources as an object of management at the enterprise are highlighted and include material form, usage in production process, transfer of their value to the value of produced products. An analysis of individual approaches to material resource management is carried out, in particular, integral, functional, logistic and reengineering approaches. An improved list of material resource management tasks within the framework of individual functional divisions of the enterprise is proposed. The functional divisions include economic and planning, marketing, procurement, accounting, legal department, production, information department. Areas of activity in the field of management of material resources of an industrial enterprise within the framework of separate management functions are suggested and grouped, including activities aimed at coordinating other management functions. In particular, the market factor is the basis of planning, and the need to implement an information system for the management of material resources and ensure its smooth operation to ensure the coordination of management activities for the management of material resources is emphasized. The place and role of the company’s information system is determined as such that helps unification of data sources, serves as information base for management decisions, allows to improve the process of management of material resources, ensures higher level of control and risks prevention, reduces the risk of human factor. Proposals for further scientific research were formed.

Spiritual Leadership, Autonomous Motivation and Employee Craftsmanship Spirit: The Cross-Level Moderating Effect of Caring Ethical Climate.

PurposeWhether in traditional manufacturing or modern intelligent manufacturing, craftsmen have always been the backbone of China’s manufacturing industry. Cultivating employee craftsmanship spirit has become one of the top tasks of human resource management in China’s manufacturing industry. The question is what kind of leadership style will promote employee craftsmanship spirit and how can it be promoted? To answer this question, based on self-determination theory and social exchange theory, this study focuses on the influence of spiritual leadership on employee craftsmanship spirit, as well as the moderating effect of having a caring ethical climate and the mediating effect of autonomous motivation between spiritual leadership and employee craftsmanship spirit.MethodsThe leaders and employees of 103 work teams from Chinese manufacturing enterprises were investigated, and 434 paired data points were obtained. Data analysis and hypothesis testing were conducted using data analysis software, such as HLM, SPSS, and AMOS.ResultsThe results reveal that spiritual leadership can significantly positively predict employee craftsmanship spirit. Employee autonomous motivation plays a partial mediating role in the positive correlation between spiritual leadership and craftsmanship spirit. Additionally, caring ethical climate positively moderates the correlation between spiritual leadership and the autonomous motivation of employees. The greater the caring ethical climate of teams is, the stronger the positive correlation between spiritual leadership and the autonomous motivation of employees.ConclusionLeadership plays an important role in the process of employees improving their skills, acquiring the status of craftsmen, and developing craftsmanship beliefs. Therefore, it is of great significance to understand how spiritual leadership style can effectively promote craftsmanship spirit among employees for high-quality development of the manufacturing industry. This study reveals the ways that spiritual leadership influences employee craftsmanship spirit from a new perspective and confirms the mediating effect of autonomous motivation as well as the moderating effect of caring ethical climate. The research conclusions can provide practical solutions for cultivating employee craftsmanship spirit.

EdgeWorkflow: One click to test and deploy your workflow applications to the edge

In recent years, edge computing has become the ideal computing paradigm for various smart systems, such as smart logistics, smart health and smart transportation. This is due to its advantages including fast response times, energy efficiency and cost effectiveness over conventional cloud computing platforms. However, running complex computational scientific workflow tasks is still a very challenging issue at the edge, due to its typical three-layered computing environment consisting of an end device layer, an edge server layer, and a cloud server layer. A large number of recent studies have proposed different solutions for optimizing such computing resource management problems in an edge computing environment. However, since evaluation of most such studies is conducted through simulation, the effectiveness cannot be guaranteed in a real world environment. Therefore, to advance research on efficient execution and deployment problems for real world workflow applications using edge computing, an open-source edge workflow management system with comprehensive empirical evaluation capabilities is urgently required. This paper presents the first edge workflow system (named EdgeWorkflow) that is able to deploy user-created workflow applications to a real-world edge computing environment with “one-click” after optimizing the configuration with the simulation tool. With the aid of EdgeWorkflow, the user can automate the generation of specific edge computing environments, easily model and generate executable workflow applications with a visual modelling tool, effectively select various resource management methods included in the systems or apply their own resource management and task scheduling algorithms, efficiently monitor the statuses of computational tasks and obtain comprehensive reports on the execution results (such as those regarding time, cost and energy). We use an edge computing-based unmanned aerial vehicle (UAV) last-mile delivery system as a real-world case study, and a number of representative scientific workflows are employed for our experiments. Our experimental results show that EdgeWorkflow can effectively evaluate the performance of different resource management and workflow task scheduling algorithms and efficiently deploy and execute user-defined scientific workflow applications to user-specified edge computing environments.

The Role of Human Resource Management in an Organization or Company

This article aims to determine the role of human resource management in organizations. This paper uses the literature review method (research conducted in libraries) to write about the topic. From the discussion it can be concluded that human resource management has three main functions, namely managerial, operational, and integration to achieve organizational goals. Human resource management includes tasks such as staff procurement, staff development, managing compensation, maintaining occupational safety and health, and manage the relationship between workers and their employers. The main task of human resource management is to increase the contribution of human resources (employees) to the organization. From this it can be understood that all activities of the organization in achieving its objectives depend on the people who manage the organization. Therefore, it is important to manage employees well in order to help the organization achieve its goals

A multi-agent deep reinforcement learning based energy management for behind-the-meter resources

The future communities are becoming more and more electrically connected via increased penetrations of behind-the-meter (BTM) resources, specifically, electric vehicles (EVs), smart buildings (SBs), and distributed renewables. The electricity infrastructure is thus seeing increased challenges in its reliable, secure, and economic operation and control with increased and hard to predict demands (due to EV charging and demand management of SBs), fluctuating generation from renewables, as well as their plug-N-play dynamics. Reinforcement learning has been extensively used to enable network entities to obtain optimal policies. The recent development of deep learning has enabled deep reinforcement learning (DRL) to drive optimal policies for sophisticated and capable agents, which can outperform conventional rule-based operation policies in applications such as games, natural language processing, and biology. Furthermore, DRL has shown promising results in many resource management tasks. Numerous studies have been conducted on the application of single-agent DRL to energy management. In this paper, a fully distributed energy management framework based on multi-agent deep reinforcement learning (MADRL) is proposed to optimize the BTM resource operations and improve essential service delivery to community residents.

A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations.

Activity recognition modelling using smartphone Inertial Measurement Units (IMUs) is an underutilized resource defining and assessing work efficiency for a wide range of natural resource management tasks. This study focused on the initial development and validation of a smartphone-based activity recognition system for excavator-based mastication equipment working in Ponderosa pine (Pinus ponderosa) plantations in North Idaho, USA. During mastication treatments, sensor data from smartphone gyroscopes, accelerometers, and sound pressure meters (decibel meters) were collected at three sampling frequencies (10, 20, and 50 hertz (Hz)). These data were then separated into 9 time domain features using 4 sliding window widths (1, 5, 7.5 and 10 seconds) and two levels of window overlap (50% and 90%). Random forest machine learning algorithms were trained and evaluated for 40 combinations of model parameters to determine the best combination of parameters. 5 work elements (masticate, clear, move, travel, and delay) were classified with the performance metrics for individual elements of the best model (50 Hz, 10 second window, 90% window overlap) falling within the following ranges: area under the curve (AUC) (95.0% - 99.9%); sensitivity (74.9% - 95.6%); specificity (90.8% - 99.9%); precision (81.1% - 98.3%); F1-score (81.9% - 96.9%); balanced accuracy (87.4% - 97.7%). Smartphone sensors effectively characterized individual work elements of mechanical fuel treatments. This study is the first example of developing a smartphone-based activity recognition model for ground-based forest equipment. The continued development and dissemination of smartphone-based activity recognition models may assist land managers and operators with ubiquitous, manufacturer-independent systems for continuous and automated time study and production analysis for mechanized forest operations.

Реализация функций управления задачами и ресурсами высокопроизводительной вычислительной системы в "СПО Супер-ЭВМ"

The Slurm-VNIITF software developed by Federal State Unitary Enterprise “Russian Federal Nuclear Center - Zababakhin All-Russian Research Institute of Technical Physics”, it’s architecture, resource management capabilities and task management for numerical simulation HPC systems described in this paper. During many years usage of the HPC systems researches show that the basic features of the Slurm (Simple linux utility for resource management) software are clearly insufficient for the effective use of computing resources in HPC centers. Therefore, the authors of this paper propose an improved task and resource management policy. Slurm extension modules (plugins) for implementing this policy also described in this paper.

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Serverless applications based on this model are often composed of several fine-grained and ephemeral Function-as-a-Service (FaaS) functions that implement complex business processes via mutual interaction and interaction with Backend-as-a-Services (BaaS) such as databases. FaaS functions suffer from the cold start problem because of the scale to zero instances feature. In this work, we use neural Temporal Point Processes (TPPs) to model function invocations in FaaS compositions. A probability distribution over the time and class of the following invocations for a given history of invocations is predicted using these probabilistic models. The prediction can avoid cold starts by scaling functions in advance and reduce network load by optimizing the function-server assignment. In this regard, we developed a python-based tool called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TppFaaS</i> on top of OpenWhisk open-source serverless platform. TppFaaS uses the neural TPPs LogNormMix for modeling the time using a log-normal mixture distribution and TruncNorm for predicting a single value for the time. Furthermore, we built a custom trace data collector for OpenWhisk embedded into TppFaaS and created datasets for multiple FaaS compositions to train and test our models. For datasets without cold starts, the models achieved for most compositions a mean absolute error below 22ms and a percentage of correctly predicted function classes above 94%.

THE ROLE OF LOGISTICS ANALYSIS METHODS IN THE ENTERPRISE RESOURCE MANAGEMENT SYSTEM

The article discusses the role of logistic analysis methods in the enterprise resource management system. The author refers to modern problems of resource management, the main indicators used in the management of inventories, the methods used in the management of inventories of enterprises, the main indicators used to assess the effectiveness of the chosen policy in inventory management, etc. issues are researched. The goals of the individual units of the enterprise often contradict each other. The goals of various divisions of the enterprise for the use of resources are contradictory and the solution of this problem is one of the main tasks of logistic resource management. The author considers that the reserve policy is somehow determined by a significant influence on the structure of the enterprise, concessions between risks and costs, liquidity and turnover are determined. The second path is more difficult because management requires skills in resource management and management accounting. A sequence of simplest steps along the way is recommended. In most cases, resource management in a material nomenclature is so extensive that it is simply impossible to analyze and modernize every situation in the nomenclature in detail. To simplify this problem, the article conducts an AVS-analysis of the entire range of materials and divides the resources into three groups. Here, indicates A- a high value of volume, V- moderate value of volume and S- low value of volume. When the AVS analysis is combined with the XYZ analysis, the enterprise effectively manages the acquisition of materials. The article substantiates and proves the method of conducting a comprehensive analysis of AVS and XYZ. XYZ-analysis allows the enterprise to carry out the classification of these resources together and depends on the accuracy of forecasting changes in their needs. XYZ — grouping of resources in the analysis is carried out in the order of increasing coefficient of variation. The author notes that the proper optimization of material resources allows you to minimize costs, increase quality and efficiency of production, and ultimately increase the profitability of capital.

Investigating the Relationship of Organizational Performance with Employment Status and Shift Work in Nurses at the Shahid Rahnemoun Hospital

Background: Performance evaluation in facilitating organizational effectiveness is considered an essential task of human resource management that depends on nurses’ employment status.&#x0D; Objectives: The present study aimed to investigate the relationship of organizational performance with employment status and shift work in nurses at the Shahid Rahnemoun Hospital, Yazd, Iran.&#x0D; Methods: This descriptive-analytical study was conducted in 2018. The sample consisted of 151 nurses who were included using census. The instrument was a standard questionnaire whose content validity was confirmed by three experts, and its reliability was approved by Cronbach’s alpha coefficient. Data analysis was performed using SPSS.22 software through independent t-test, one-way analysis of variance, and one-sample t-test.&#x0D; Results: Among the four components surveyed in the study, the highest and lowest means and standard deviations were related to “participation and cooperation” (4.35 ± 0.48) and “infection control and prevention” (4.21 ± 0.60), respectively. There was a significant relationship between total performance and the two dimensions of “care and treatment” and “participation and cooperation” with employment status (P &lt; 0.05).&#x0D; Conclusions: The results showed that the type of employment of nurses would affect the organizational performance. In an organization where employees feel job security, they will be committed to that organization and perform their duties more competently, with more motivation and satisfaction.&#x0D;

Application of 3D face recognition in the access control system

AbstractOver the years, face recognition has been the research topic that has attracted many researchers around the world. One of the most significant applications of face recognition is the access control system. The access control system allows authorized persons to enter or exit certain or restricted areas. As a result, it will increase the security situation without over-investment in staff security. The access information can be the identification, time, and location, etc. It can be used to carry out human resource management tasks such as attendance and inspection of employees in a more fair and transparent manner. Although face recognition has been widely used in access control systems because of its better accuracy and convenience without requiring too much user cooperation, the 2D-based face recognition systems also retain many limitations due to the variations in pose and illumination. By analyzing facial geometries, 3D facial recognition systems can theoretically overcome the disadvantages of prior 2D methods and improve robustness in different working conditions. In this paper, we propose the 3D facial recognition algorithm for use in an access control system. The proposed algorithm includes the preprocessing, feature extraction, and classification stages. The application of the proposed access control system is the automatic sliding door, the controller of the system, the web-based monitoring, control, and storage of data.

Principles of corporate governance as the basis for the formation of the strategic advantage of enterprises in the construction industry

The classical interpretation of the principles of corporate governance in terms of effectiveness is important for understanding the economic essence of the management system and its evaluation. Constantly changing socio-economic, epidemiological and geopolitical conditions make the problem of updating the principles of corporate governance important for the clarification of the requirements to be met to ensure a strategic advantage in the construction industry and to maintain competitiveness in the course of the life cycle of an investment construction project and in the process of the long-term construction facility operation. This statement is quite logical, because the focus of the economic science on understanding the principles of corporate governance is especially strengthened during periods of interphase cyclical transitions, triggered by the activation of an economic reform, accompanied by an increase in the uncertainty of business conditions. The project format of modern investment and construction activities becomes the dominant form of its implementation due to the high potential of integration with targeted federal and regional programs and as a result of the adequacy of the task of resource management at each stage of the project life cycle, which in turn allows to effectively allocate resources in time and space.

Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis

Resource management (RM) is a challenging task in a cloud computing environment where a large number of virtualized, heterogeneous, and distributed resources are hosted in the datacentres. The uncertainty, heterogeneity, and the dynamic nature of such resources affect the efficiency of provisioning, allocation, scheduling, and monitoring tasks of RM. The most existing RM techniques and strategies have insufficiency in handling such cloud resources dynamic behaviour. To resolve these limitations, there is a need for the design and development of intelligent and efficient autonomic RM techniques to ensure the Quality-of-Service (QoS) of cloud-based applications, satisfy the cloud user requirements, and avoid a Service-Level Agreement (SLA) violations. This paper presents a comprehensive review along with a taxonomy of the most recent existing autonomic and elastic RM techniques in a cloud environment. The taxonomy classifies the existing autonomic and elastic RM techniques into different categories based on their design, objective, function, and applications. Moreover, a comparison and qualitative analysis is provided to illustrate their strengths and weaknesses. Finally, the open issues and challenges are highlighted to help researchers in finding significant future research options.

ЕФЕКТИВНІСТЬ ВИКОРИСТАННЯ ТРУДОВИХ РЕСУРСІВ НА ПІДПРИЄМСТВАХ АВІАБУДІВНОЇ ГАЛУЗІ В УКРАЇНІ

The article considers the current state of use of labor resources at enterprises engaged in aircraft construction and emphasizes the importance of personnel policy management. The article describes the method of assessing the use of labor potential for machine-building enterprises and analyzes the state of effective use of labor potential. The implementation of the analysis at the enterprises of the aircraft industry should begin with an assessment of the company's availability of the required number of staff, the adequacy of qualified personnel and staff turnover. The task of this assessment is to identify reserves for saving labor resources for their rational and optimal placement, loading and use. Labor supply includes a study of staff turnover, which is calculated on such indicators as the turnover rate on admission, the turnover rate from disposal, the turnover rate. The evaluation of indicators that characterize efficiency (namely: average number of employees, average monthly wages, output, labor productivity) on the example of aircraft companies such as SE "Antonov" and SE HMZ "FED" based on reporting data. The personnel policy of SE "Antonov" and SE KhMZ "FED", which includes the number of employees and areas of improvement of enterprise management, is analyzed. The dynamics of these indicators for 2018 and 2019 are substantiated and the reasons for the change of these indicators are identified. Also in the article indicated efficiency of labor resources is carried out through management as in order to successfully and rationally distribute the work potential should be purposeful regulation of the enterprise in the areas of efficiency management to ensure compliance with the actual state of the enterprise to the specified parameters. The article describes the main tasks of human resource management are as follows: effective use of labor potential at the enterprise; improving the organization of working conditions and jobs; conducting motivational activities for staff; ensuring a sufficient number of workers in production in accordance with the qualifications and specialization; improving the personnel policy of the enterprise. The ways of increase of efficiency of use of labor resources on the basis of management of activity of the enterprises of aviation branch and personnel policy are offered.

STRATEGIJE NEMATERIJALNE MOTIVACIJE U ZDRAVSTENOM SEKTORU

After finding the appropriate people, the task of human resource management is to make them able to work successfully together. In the health care sector and other sectors alike, employee motivation is not only an area of psychological and sociological issues of work and work behavior, but behavior is also directed towards a goal that instigates needs in a person and the goal is to meet these needs. For this reason, many non-material strategies, such as job design, management style, participation, management by objectives, flexible working hours, recognition and feedback, organizational culture, training and career development and others, have been developed, forming a complete motivation system together with material strategies. Managers can influence the motivation of employees in the health care and other sectors in different ways and in different directions. Therefore, the manager's approach is primarily based on the concept of person, their nature and motivation. These stand as the basis for the development and application of specific organizational and managerial solutions. The subject of this paper is exploration and identification of strategies of non-material motivation of physicians and medical staff in Mostar. The objective of the survey is to explore the possibilities of improving the system of non-material motivation in the health care sector and to identify the methods of non-material motivation that can be applied in the management of medical staff. The survey was conducted on a sample consisting of medical staff in the city of Mostar and it included 79 respondents. The survey of staff opinions was implemented directly by a questionnaire or via Google survey form. The main conclusion of the survey was that the material motivators are the basis of motivational policies in any system. However, each system must direct its strategic activities towards development and application of various non-material motivational strategies. The results obtained by questionnaires were processed using the MS Excel and SPSS software tools. Average values, as well as median and standard deviation values, were calculated and analyzed for each statement. Key recommendations for the development of an integrated non-material motivational strategy for medical staff were finally defined upon measuring the significance of each of the proposed non-material motivational strategies.

Accountability Increases Resource Sharing: Effects of Accountability on Human and AI System Performance

ABSTRACT Accountability pressures have been found to increase worker engagement and reduce adverse biases in people interacting with automated technology, but it is unclear if these effects can be observed in a more laterally controlled human-AI task. To address this question, 40 participants were asked to coordinate with an AI agent on a resource-management task, with half of the participants expecting to justify their decision strategy, which comprised our accountability condition. We then considered the effects of accountability on performance, as measured by participants’ resource sharing behaviors, their individual, and joint task scores (throughput), and their perceived workload. Participants in the accountability group shared more resources with their AI partner, took more time to make decisions, and performed worse in the task individually, but had AI partners who performed better. We found no difference between groups on how prepared they felt they were to justify their decisions, and participants reported similar levels of workload. Results suggest accountability pressures can influence exchange strategies in human-AI tasks with lateral control.